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Wang Y, Li J, Li L, Quan S, Meng G, Gu Y, Zhang Q, Liu L, Wu H, Lai S, Chen Y, Liu T, Sun S, Wang X, Jia Q, Song K, Niu K. The association between raw garlic consumption and the risk of depressive symptoms: the TCLSIH cohort study. Food Funct 2024; 15:4436-4445. [PMID: 38563400 DOI: 10.1039/d3fo03833e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Background: Garlic has antioxidant, anti-inflammatory, cardiovascular improvement and other beneficial effects on human health. However, few studies have evaluated the association of garlic intake with the risk of depressive symptoms. The aim of this prospective cohort was to examine the association between the frequency of raw garlic consumption and depressive symptoms in the general adult population. Methods: A total of 7427 participants (mean ± standard deviation: 39.7 ± 10.5 years) without baseline depressive symptoms were included in the cohort study. Garlic consumption was assessed using a validated food frequency questionnaire, and depressive symptoms were assessed by a Chinese version of the Self-rating Depression Scale score (SDS score ≥ 45). Multivariable Cox proportional hazards models were used to determine the association between garlic consumption and the risk of depressive symptoms. Results: This study identified 1070 cases of depressive symptoms during a median follow-up of 2.0 years, with a depression prevalence of 73.4 cases per 1000 person-years. After multivariate adjustment, the hazard ratios (95% confidence intervals) for depressive symptoms in males were 1.00 (reference) for almost never, 1.05 (0.84, 1.32) for ≤1 time per week, 1.16 (0.90, 1.49) for 2-3 times per week, and 1.31 (0.97, 1.78) for ≥4 times per week, and in females, they were 1.00 (reference) for almost never, 0.85 (0.69, 1.06) for ≤1 time per week, 0.72 (0.54, 0.97) for 2-3 times per week, and 0.78 (0.53, 1.13) for ≥4 times per week. Conclusion: In a large general population, we demonstrate for the first time that moderate raw garlic consumption is associated with a reduced risk of depressive symptoms in females, but not in males. Additional prospective studies with long-term follow-up and randomized controlled trials are necessary to confirm the preliminary results of the current study.
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Affiliation(s)
- Yaxiao Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
- School of Public Health of Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, West Area, Tuanbo New Town, Jinghai District, Tianjin, 301617, China.
- School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Jiaoyang Li
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
- School of Public Health of Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, West Area, Tuanbo New Town, Jinghai District, Tianjin, 301617, China.
- School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Li Li
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
- School of Public Health of Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, West Area, Tuanbo New Town, Jinghai District, Tianjin, 301617, China.
- School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Shengxin Quan
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
- School of Public Health of Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, West Area, Tuanbo New Town, Jinghai District, Tianjin, 301617, China.
- School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Ge Meng
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
- Department of Toxicology and Health Inspection and Quarantine, School of Public Health, Tianjin Medical University, Tianjin, 300070, China.
| | - Yeqing Gu
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Qing Zhang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Li Liu
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Hongmei Wu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Sizhen Lai
- School of Public Health of Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, West Area, Tuanbo New Town, Jinghai District, Tianjin, 301617, China.
- School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Yinxiao Chen
- School of Public Health of Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, West Area, Tuanbo New Town, Jinghai District, Tianjin, 301617, China.
- School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Tongfeng Liu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
- Department of Toxicology and Health Inspection and Quarantine, School of Public Health, Tianjin Medical University, Tianjin, 300070, China.
| | - Shaomei Sun
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Xing Wang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Qiyu Jia
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Kun Song
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Kaijun Niu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
- School of Public Health of Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, West Area, Tuanbo New Town, Jinghai District, Tianjin, 301617, China.
- School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China
- Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China
- National Demonstration Center for Experimental Preventive Medicine Education, Tianjin Medical University, Tianjin, China
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Zhang S, Huo Z, Borné Y, Meng G, Zhang Q, Liu L, Wu H, Gu Y, Sun S, Wang X, Zhou M, Jia Q, Song K, Ma L, Qi L, Niu K. Adherence to a healthy lifestyle including sleep and sedentary behaviors and risk of metabolic dysfunction-associated steatotic liver disease in Chinese adults. Prev Med 2024:107971. [PMID: 38657685 DOI: 10.1016/j.ypmed.2024.107971] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Revised: 04/18/2024] [Accepted: 04/21/2024] [Indexed: 04/26/2024]
Abstract
OBJECTIVE Various lifestyle factors including smoking, alcohol, physical activity, sedentary behavior, diet quality, sleep behavior, and overweight have been related to metabolic dysfunction-associated steatotic liver disease (MASLD); however, their joint impact on risk of MASLD is not well known. We prospectively investigated the association between a combination of lifestyle factors and risk of MASLD. METHODS This prospective cohort study included 13,303 participants (mean age: 39.1 ± 11.3 years, female: 60.1%) in China. A novel healthy lifestyle score was created combining seven healthy factors: not smoking, no alcohol intake, regular physical activity, short sedentary time, healthy diet, healthy sleep, and healthy weight. Incident MASLD cases were ascertained annually by liver ultrasound and cardiometabolic risk factors. Multivariable Cox proportional hazards regression models were used to estimate the association of healthy lifestyle score with risk of MASLD. RESULTS Within 48,036 person-years of follow-up, 2823 participants developed MASLD. After adjusting for age, sex, education, occupation, household income, personal and family history of disease, and total energy intake, compared with participants with 0-2 healthy lifestyle factors, the multivariable hazard ratios (95% confidence interval) of MASLD were 0.81 (0.73, 0.89), 0.67 (0.61, 0.75), and 0.55 (0.49, 0.62) for healthy lifestyle score of 3, 4, and 5-7, respectively (P for trend <0.0001). Such associations were consistent across subgroup and sensitivity analyses. CONCLUSION Our results indicate that a higher healthy lifestyle score is associated with a lower risk of MASLD.
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Affiliation(s)
- Shunming Zhang
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China; Key Laboratory of Environment and Genes Related to Diseases (Xi'an Jiaotong University), Ministry of Education, Xi'an, Shaanxi, China
| | - Zhenyu Huo
- School of Public Health, North China University of Science and Technology, Tangshan, Hebei, China
| | - Yan Borné
- Nutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Ge Meng
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China; Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Qing Zhang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Li Liu
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Hongmei Wu
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China; Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yeqing Gu
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Shaomei Sun
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Xing Wang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Ming Zhou
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Qiyu Jia
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Kun Song
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Le Ma
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China; Key Laboratory of Environment and Genes Related to Diseases (Xi'an Jiaotong University), Ministry of Education, Xi'an, Shaanxi, China.
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Kaijun Niu
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China; Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China.
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Liu T, Quan S, Meng G, Wu H, Gu Y, Zhang S, Wang X, Zhang J, Zhang Q, Liu L, Sun S, Wang X, Zhou M, Jia Q, Song K, Fang Z, Niu K. Longitudinal association between soft drink consumption and handgrip strength in adults: a prospective analysis from the Tianjin Chronic Low-Grade Systemic Inflammation and Health (TCLSIH) cohort study. Br J Nutr 2024:1-8. [PMID: 38600624 DOI: 10.1017/s0007114523002817] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/12/2024]
Abstract
Soft drink consumption has become a highly controversial public health issue. Given the pattern of consumption in China, sugar-sweetened beverage is the main type of soft drink consumed. Due to containing high levels of fructose, a soft drink may have a deleterious effect on handgrip strength (HGS) due to oxidative stress, inflammation and insulin resistance. However, few studies show an association between soft drink consumption and HGS in adults. We aimed to investigate the association between soft drink consumption and longitudinal changes in HGS among a Chinese adult population. A longitudinal population-based cohort study (5-year follow-up, median: 3·66 years) was conducted in Tianjin, China. A total of 11 125 participants (56·7 % men) were enrolled. HGS was measured using a handheld digital dynamometer. Soft drink consumption (mainly sugar-containing carbonated beverages) was measured at baseline using a validated FFQ. ANCOVA was used to evaluate the association between soft drink consumption and annual change in HGS or weight-adjusted HGS. After adjusting for multiple confounding factors, the least square means (95 % CI) of annual change in HGS across soft drink consumption frequencies were -0·70 (-2·49, 1·09) for rarely drinks, -0·82 (-2·62, 0·97) for < 1 cup/week and -0·86 (-2·66, 0·93) for ≥ 1 cup/week (Pfor trend < 0·05). Likewise, a similar association was observed between soft drink consumption and annual change in weight-adjusted HGS. The results indicate that higher soft drink consumption was associated with faster HGS decline in Chinese adults.
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Affiliation(s)
- Tongfeng Liu
- Department of Toxicology and Health Inspection and Quarantine, School of Public Health, Tianjin Medical University, Tianjin, People's Republic of China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, People's Republic of China
| | - Shengxin Quan
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, People's Republic of China
| | - Ge Meng
- Department of Toxicology and Health Inspection and Quarantine, School of Public Health, Tianjin Medical University, Tianjin, People's Republic of China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, People's Republic of China
| | - Hongmei Wu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, People's Republic of China
- School of Public Health, Tianjin University of Traditional Chinese Medicine, Tianjin, People's Republic of China
- School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, People's Republic of China
| | - Yeqing Gu
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People's Republic of China
| | - Shunming Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, People's Republic of China
- School of Public Health, Tianjin University of Traditional Chinese Medicine, Tianjin, People's Republic of China
- School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, People's Republic of China
| | - Xuena Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, People's Republic of China
- School of Public Health, Tianjin University of Traditional Chinese Medicine, Tianjin, People's Republic of China
- School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, People's Republic of China
| | - Juanjuan Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, People's Republic of China
- School of Public Health, Tianjin University of Traditional Chinese Medicine, Tianjin, People's Republic of China
- School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, People's Republic of China
| | - Qing Zhang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, People's Republic of China
| | - Li Liu
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, People's Republic of China
| | - Shaomei Sun
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, People's Republic of China
| | - Xing Wang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, People's Republic of China
| | - Ming Zhou
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, People's Republic of China
| | - Qiyu Jia
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, People's Republic of China
| | - Kun Song
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, People's Republic of China
| | - Zhongze Fang
- Department of Toxicology and Health Inspection and Quarantine, School of Public Health, Tianjin Medical University, Tianjin, People's Republic of China
| | - Kaijun Niu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, People's Republic of China
- School of Public Health, Tianjin University of Traditional Chinese Medicine, Tianjin, People's Republic of China
- School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, People's Republic of China
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People's Republic of China
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, People's Republic of China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, People's Republic of China
- Tianjin Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, People's Republic of China
- National Demonstration Center for Experimental Preventive Medicine Education, Tianjin Medical University, Tianjin, People's Republic of China
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Chang Q, Zhang Y, Zhang T, Liu Z, Cao L, Zhang Q, Liu L, Sun S, Wang X, Zhou M, Jia Q, Song K, Ding Y, Zhao Y, Niu K, Xia Y. Healthy Lifestyle and the Risk of Metabolic Dysfunction-Associated Fatty Liver Disease: A Large Prospective Cohort Study. Diabetes Metab J 2024:dmj.2023.0133. [PMID: 38503277 DOI: 10.4093/dmj.2023.0133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Accepted: 11/30/2023] [Indexed: 03/21/2024] Open
Abstract
Background The incidence density of metabolic dysfunction-associated fatty liver disease (MAFLD) and the effect of a healthy lifestyle on the risk of MAFLD remain unknown. We evaluated the prevalence and incidence density of MAFLD and investigated the association between healthy lifestyle and the risk of MAFLD. Methods A cross-sectional analysis was conducted on 37,422 participants to explore the prevalence of MAFLD. A cohort analysis of 18,964 individuals was conducted to identify the incidence of MAFLD, as well as the association between healthy lifestyle and MAFLD. Cox proportional hazards regression was used to calculate the hazard ratio (HR) and 95% confidence interval (CI) with adjustments for confounding factors. Results The prevalence of MAFLD, non-alcoholic fatty liver disease, and their comorbidities were 30.38%, 28.09%, and 26.13%, respectively. After approximately 70 thousand person-years of follow-up, the incidence densities of the three conditions were 61.03, 55.49, and 51.64 per 1,000 person-years, respectively. Adherence to an overall healthy lifestyle was associated with a 19% decreased risk of MAFLD (HR, 0.81; 95% CI, 0.72 to 0.92), and the effects were modified by baseline age, sex, and body mass index (BMI). Subgroup analyses revealed that younger participants, men, and those with a lower BMI experienced more significant beneficial effects from healthy lifestyle. Conclusion Our results highlight the beneficial effect of adherence to a healthy lifestyle on the prevention of MAFLD. Health management for improving dietary intake, physical activity, and smoking and drinking habits are critical to improving MAFLD.
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Affiliation(s)
- Qing Chang
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, China Medical University, Shenyang, China
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shenyang, China
| | - Yixiao Zhang
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, China Medical University, Shenyang, China
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shenyang, China
- Department of Urology Surgery, Shengjing Hospital of China Medical University, China Medical University, Shenyang, China
| | - Tingjing Zhang
- School of Public Health, Wannan Medical College, Wuhu, China
| | - Zuyun Liu
- Department of Big Data in Health Science School of Public Health and Center for Clinical Big Data and Analytics of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Limin Cao
- The Third Central Hospital of Tianjin, Tianjin, China
| | - Qing Zhang
- Health Management Center, Tianjin Medical University General Hospital, Tianjin, China
| | - Li Liu
- Health Management Center, Tianjin Medical University General Hospital, Tianjin, China
| | - Shaomei Sun
- Health Management Center, Tianjin Medical University General Hospital, Tianjin, China
| | - Xing Wang
- Health Management Center, Tianjin Medical University General Hospital, Tianjin, China
| | - Ming Zhou
- Health Management Center, Tianjin Medical University General Hospital, Tianjin, China
| | - Qiyu Jia
- Health Management Center, Tianjin Medical University General Hospital, Tianjin, China
| | - Kun Song
- Health Management Center, Tianjin Medical University General Hospital, Tianjin, China
| | - Yang Ding
- Department of Infectious Diseases, Shengjing Hospital of China Medical University, China Medical University, Shenyang, China
| | - Yuhong Zhao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, China Medical University, Shenyang, China
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shenyang, China
| | - Kaijun Niu
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yang Xia
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, China Medical University, Shenyang, China
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shenyang, China
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Shen WJ, Lu YX, Niu K, Zhang YH, Wang WY, Zhao Y, Ge J, Zhang XL. [Lower urinary tract injury in transvaginal reconstructive pelvic surgery]. Zhonghua Fu Chan Ke Za Zhi 2024; 59:130-134. [PMID: 38389232 DOI: 10.3760/cma.j.cn112141-20231119-00206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 02/24/2024]
Abstract
Objective: To explore the characteristics, prevention and treatment strategies of lower urinary tract injury in transvaginal reconstructive pelvic surgery (vRPS). Methods: A retrospective analysis was conducted on 24 patients who suffered lower urinary tract injuries occuring in vRPS from January 2005 to June 2021, among which 4 cases were referred to our hospital from other hospitals. Results: (1) In our hospital, 1 952 patients underwent vRPS for anterior and (or) middle pelvic organ prolapse during that study period, with a 1.0% (20/1 952) incidence of lower urinary tract injuries occurring in 20 cases. (2) Ureteral injuries were observed in 14 cases who underwent transvaginal high uterosacral ligament suspension (1.4%, 14/966). The symptoms were relieved after the removal of sutures. (3) Bladder injuries occurred in 6 cases in our hospital, with 4 cases (0.7%, 4/576) in anterior transvaginal mesh surgery (aTVM), one (0.4%, 1/260) in colpocleisis, and one (0.7%, 1/150) in apical suspension for fornix prolapse. An additional 4 cases of bladder injury were referred to our hospital after aTVM. Among the 8 cases of bladder injury during aTVM, 2 cases were intraoperative incidents. Cystoscopy confirmed that the superficial branch or puncture rod of anterior vaginal mesh had penetrated into the bladder. Re-puncturing and placement of the mesh were successfully performed. No abnormalities were observed during a follow-up period of 4-5 years. Postoperative bladder injuries were identified in 6 cases, characterized by mesh erosion into the bladder and formation of calculi. These injuries were confirmed between 6 months to 2 years after vRPS. The exposed mesh and calculi in the bladder were removed through laparotomy or cystoscopy, followed up for 2-12 years. One case experienced slight re-erosion of mesh to the bladder. Conclusions: Lower urinary tract injuries are difficult to avoid in vRPS, particularly in transvaginal high uterosacral ligament suspension and aTVM. However, the incidence is low. Lower urinary tract injuries during vRPS could be easily detected and managed intraoperatively because of the use of cystoscopy. As long-term postoperative complications, erosion of transvaginal mesh to lower urinary tract postoperatively could be treated correctly, seldom with severe sequelae.
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Affiliation(s)
- W J Shen
- Department of Obstetrics and Gynecology, the Fourth Medical Center, Senior Department of Obstetrics and Gynecology, Chinese PLA General Hospital, Beijing 100048, China
| | - Y X Lu
- Department of Obstetrics and Gynecology, the Fourth Medical Center, Senior Department of Obstetrics and Gynecology, Chinese PLA General Hospital, Beijing 100048, China
| | - K Niu
- Department of Obstetrics and Gynecology, the Fourth Medical Center, Senior Department of Obstetrics and Gynecology, Chinese PLA General Hospital, Beijing 100048, China
| | - Y H Zhang
- Department of Obstetrics and Gynecology, the Fourth Medical Center, Senior Department of Obstetrics and Gynecology, Chinese PLA General Hospital, Beijing 100048, China
| | - W Y Wang
- Department of Obstetrics and Gynecology, the Fourth Medical Center, Senior Department of Obstetrics and Gynecology, Chinese PLA General Hospital, Beijing 100048, China
| | - Y Zhao
- Department of Obstetrics and Gynecology, the Fourth Medical Center, Senior Department of Obstetrics and Gynecology, Chinese PLA General Hospital, Beijing 100048, China
| | - J Ge
- Department of Obstetrics and Gynecology, the Fourth Medical Center, Senior Department of Obstetrics and Gynecology, Chinese PLA General Hospital, Beijing 100048, China
| | - X L Zhang
- Department of Obstetrics and Gynecology, the Fourth Medical Center, Senior Department of Obstetrics and Gynecology, Chinese PLA General Hospital, Beijing 100048, China
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Qiao F, Guo H, Zhang J, Zhang Q, Liu L, Meng G, Wu H, Gu Y, Song K, Li C, Niu K. Association Between Number of Missing Teeth and Hyperlipidemia: The TCLSIH Cohort Study. J Inflamm Res 2024; 17:1095-1104. [PMID: 38384373 PMCID: PMC10880458 DOI: 10.2147/jir.s443940] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Accepted: 02/01/2024] [Indexed: 02/23/2024] Open
Abstract
Background To explore the association between the number of missing teeth and the prevalence of hyperlipidemia in a Chinese adult population. Methods 13,932 adults were investigated in the TCLSIH cohort study. The number of missing teeth was determined at baseline through a self-reported questionnaire, and then classified into three categories: 0, 1-2, and ≥3. We defined hyperlipidemia as total cholesterol (TC) ≥ 5.17 mmol/L or triglycerides (TG) ≥ 1.7 mmol/L or low-density lipoprotein (LDL) cholesterol ≥ 3.37 mmol/L or a self-report of physician-diagnosed hyperlipidemia during follow-up visits. Cox proportional-hazards regression models were employed to assess the relationship between the number of missing teeth and incident hyperlipidemia. Results A total of 6756 first-incident cases of hyperlipidemia occurred during 42,048 person-years of follow-up (median follow-up, 4.2 years). After adjusted confounders, multivariable HRs and 95% CI for incident of hyperlipidemia across the categories of missing teeth were as follows: in male participants, 1.00 (reference), 1.10 (0.98, 1.22), and 1.03 (0.91, 1.16) (P for trend = 0.30); in female participants, 1.00 (reference), 1.09 (0.99, 1.19), and 1.18 (1.04, 1.33) (P for trend < 0.01). Conclusion The number of missing teeth is associated with an increased risk of hyperlipidemia in female participants but not in male participants. Systemic chronic inflammation may potentially mediate this association.
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Affiliation(s)
- Feng Qiao
- School of Dentistry, Stomatological Hospital, Tianjin Medical University, Tianjin, People’s Republic of China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, People’s Republic of China
| | - Hong Guo
- School of Dentistry, Stomatological Hospital, Tianjin Medical University, Tianjin, People’s Republic of China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, People’s Republic of China
| | - Jing Zhang
- School of Dentistry, Stomatological Hospital, Tianjin Medical University, Tianjin, People’s Republic of China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, People’s Republic of China
| | - Qing Zhang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, People’s Republic of China
| | - Li Liu
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, People’s Republic of China
| | - Ge Meng
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, People’s Republic of China
| | - Hongmei Wu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, People’s Republic of China
| | - Yeqing Gu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, People’s Republic of China
| | - Kun Song
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, People’s Republic of China
| | - Changyi Li
- School of Dentistry, Stomatological Hospital, Tianjin Medical University, Tianjin, People’s Republic of China
| | - Kaijun Niu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, People’s Republic of China
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, People’s Republic of China
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Ma Z, Geng H, Yang H, Meng G, Gu Y, Wu H, Zhang S, Zhang J, Wang X, Huang T, Niu K. Adherence to a healthy sleep pattern and risk of urologic cancers: A large prospective cohort study. Prev Med 2024; 179:107844. [PMID: 38176446 DOI: 10.1016/j.ypmed.2023.107844] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2023] [Revised: 11/28/2023] [Accepted: 12/28/2023] [Indexed: 01/06/2024]
Abstract
OBJECTIVE A variety of unhealthy sleep behaviors have been shown to be associated with an increased risk of urologic cancers. However, little is known about the association between the overall sleep patterns and urologic cancers. To prospectively investigate the associations between a healthy sleep pattern and the risks of urologic cancers, including bladder cancer (BCa) and renal cell carcinoma (RCC). METHODS In this prospective cohort study, 377,144 participants free of cancer at baseline were recruited from the UK Biobank. Data on sleep behaviors were collected through questionnaires at recruitment. The incident urologic cancer cases were determined through linkage to national cancer and death registries. We established a healthy sleep score according to five sleep traits (sleep duration, chronotype, insomnia, snoring, and daytime sleepiness). Cox proportional hazard regression models were used to calculate the adjusted hazard ratios and 95% confidence intervals to assess the relationship between the healthy sleep score and the risk of urologic cancers. RESULTS During a median of ≥9 years of follow-up, we identified 1986 incident urologic cancer cases, including 1272 BCa cases and 706 RCC cases. Compared with the participants with a poor sleep pattern (score of 0-2), the multivariable-adjusted hazard ratio and 95% confidence interval were 0.85 (0.75 to 0.96) for urologic cancers, 0.80 (0.68 to 0.93) for BCa, and 0.91 (0.74, 1.12) for RCC, respectively, for those with the healthier sleep pattern (score of 4-5). CONCLUSION Our results indicate that a healthy sleep pattern is associated with lower risks of urologic cancers.
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Affiliation(s)
- Zheng Ma
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China; School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China; School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Hao Geng
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China; School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China; School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Honghao Yang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China; School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China; School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Ge Meng
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China; Department of Toxicology and Health Inspection and Quarantine, School of Public Health, Tianjin Medical University, Tianjin, China.
| | - Yeqing Gu
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Hongmei Wu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China; School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Shunming Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China; School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Juanjuan Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China; School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Xuena Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China; School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Tao Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China.
| | - Kaijun Niu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China; School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China; School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China; Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
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Zhang T, Xu X, Chang Q, Lv Y, Zhao Y, Niu K, Chen L, Xia Y. Ultraprocessed food consumption, genetic predisposition, and the risk of gout: the UK Biobank study. Rheumatology (Oxford) 2024; 63:165-173. [PMID: 37129545 DOI: 10.1093/rheumatology/kead196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Revised: 04/04/2023] [Accepted: 04/13/2023] [Indexed: 05/03/2023] Open
Abstract
OBJECTIVE This study aimed to examine the interactions between ultraprocessed food (UPF) consumption and genetic predisposition with the risk of gout. METHODS This prospective cohort study analysed 181 559 individuals from the UK Biobank study who were free of gout at baseline. UPF was defined according to the NOVA classification. Assessment of genetic predisposition for gout was developed from a genetic risk score of 33 single nucleotide polymorphisms. Cox proportional hazards were used to estimate the associations between UPF consumption, genetic predisposition and the risk of gout. RESULTS Among the 181 559 individuals in the study, 1558 patients developed gout over 1 648 167 person-years of follow-up. In the multivariable adjustment model, compared with the lowest quartile of UPF consumption, the hazard ratio (HR) and 95% CI of the highest UPF consumption was 1.16 (1.01, 1.33) for gout risk, and there was a non-linear correlation between UPF consumption and the development of gout. In substitution analyses, replacing 20% of the weight of UPF in the daily intake with an equal amount of unprocessed or minimally processed food resulted in a 13% lower risk of gout (HR: 0.87; 95% CI: 0.79, 0.95). In the joint-effect analysis, the HR (95% CI) for gout was 1.90 (1.39, 2.60) in participants with high genetic predisposition and high UPF consumption, compared with those with low genetic predisposition and low UPF consumption. CONCLUSION In summary, UPF consumption was found to be associated with a higher risk of gout, particularly in those participants with genetic predisposition to gout. Our study indicated that reducing UPF consumption is crucial for gout prevention.
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Affiliation(s)
- Tingjing Zhang
- Department of Nutrition and Food Hygiene, School of Public Health, Wannan Medical College, Wuhu, China
| | - Xin Xu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Shenyang, China
| | - Qing Chang
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Shenyang, China
| | - Yanling Lv
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yuhong Zhao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Shenyang, China
| | - Kaijun Niu
- School of Public Health of Tianjin, University of Traditional Chinese Medicine, Tianjin, China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Liangkai Chen
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yang Xia
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Shenyang, China
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9
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Meng G, Yao J, Li J, Gu Y, Wu H, Zhang Q, Liu L, Wang X, Zhang J, Sun S, Wang X, Zhou M, Jia Q, Song K, Niu K. Association between whole-grain consumption and carotid atherosclerosis: the Tianjin chronic low-grade systemic inflammation and health (TCLSIH) cohort study. Food Funct 2023; 14:10955-10963. [PMID: 38010908 DOI: 10.1039/d3fo01921g] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
Background: Whole-grain contains a range of beneficial nutrients, which are thought to play a role in the prevention of chronic diseases. However, the association between whole-grain consumption and the risk of developing carotid atherosclerosis (CA) has not been sufficiently elucidated. We, therefore, conducted this study to investigate the relationship between whole-grain consumption and CA in the general adult population. Methods: This prospective cohort study included a total of 2166 participants (19.2-84.6 years, 55.0% men) without a history of cardiovascular disease, cancer, and CA at baseline. A validated food frequency questionnaire was used to assess whole-grain consumption. Measurements of CA include carotid intima-media thickness (IMT) and carotid plaque. IMT thickening is defined as: IMT ≥ 1.0 mm or a carotid bifurcation IMT ≥ 1.2 mm. Carotid plaque is defined as: distinct area protruding ≥1.5 mm into the vascular lumen of the carotid artery. Cox proportional hazards regression models were used to examine the association of whole-grain consumption with incident CA. Results: A total of 538 (341 men) first incident cases of CA occurred during 5585 person-years of follow-up (median follow-up: 4.2 years). After adjusting for demographic characteristics, lifestyle factors, dietary intake, individual and family history of disease, the multivariable HRs (95% CIs) for incident CA were 1.00 (reference) for <1 time per week, 1.10 (0.85, 1.43) for 1 time per week, 0.95 (0.75, 1.20) for 2-6 times per week, and 1.12 (0.80, 1.56) for ≥1 times per day, respectively (P for trend = 0.99). Similar results were observed in stratified analyses by the main covariates and sensitivity analyses. Conclusion: Our data indicate that whole-grain consumption had no significant association with the risk of CA in an adult Chinese population. In our study population, there is a low consumption of whole-grain, which may limit our ability to see an association. Further cohort studies or randomized controlled trials are needed to confirm our results.
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Affiliation(s)
- Ge Meng
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Jiping Yao
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Jiaoyang Li
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Yeqing Gu
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Hongmei Wu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Qing Zhang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Li Liu
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Xuena Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Juanjuan Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Shaomei Sun
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Xing Wang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Ming Zhou
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Qiyu Jia
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Kun Song
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Kaijun Niu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China
- Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China
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Ma Z, Yang H, Meng G, Zhang Q, Liu L, Wu H, Gu Y, Zhang S, Wang X, Zhang J, Sun S, Wang X, Zhou M, Jia Q, Song K, Niu K. Anti-inflammatory dietary pattern is associated with handgrip strength decline: a prospective cohort study. Eur J Nutr 2023; 62:3207-3216. [PMID: 37548698 DOI: 10.1007/s00394-023-03225-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 07/27/2023] [Indexed: 08/08/2023]
Abstract
BACKGROUND AND AIMS Skeletal muscle strength decline is strongly associated with inflammation. While previous research has confirmed that diet can modulate chronic inflammation, little is known about the relationship between an anti-inflammatory dietary pattern and muscle strength. The aim of this study was to investigate the association between an anti-inflammatory dietary pattern and handgrip strength decline in a large-scale adult population. METHODS During a median follow-up period of 3 years, this prospective cohort study was carried out between 2013 and 2018 and included 2840 participants (60.2% men). Dietary intake was assessed using a validated food frequency questionnaire at baseline, and handgrip strength was measured annually with a handheld digital dynamometer. The dietary inflammatory potential score was calculated using white blood cell count and hypersensitive C-reactive protein as inflammatory markers, and was determined using reduced rank regression and stepwise linear regression. Multivariable linear regression models were used to estimate the association between the dietary inflammatory potential score and the annualized change in handgrip strength and weight-adjusted handgrip strength. RESULTS After adjusting for multiple confounding factors, significant associations between the dietary inflammatory potential score and the annualized change in handgrip strength and weight-adjusted handgrip strength in women, with values of - 0.8322 kg (95% confidence interval [CI] - 1.6405, - 0.0238; P < 0.0408) and - 0.0171 kg/kg (95% CI - 0.0310, - 0.0032; P < 0.0158), respectively. However, no significant differences were observed between the dietary inflammatory potential score and the annualized change in handgrip strength and weight-adjusted handgrip strength in men, with values of 0.1578 kg (95% CI - 0.6107, 0.9261; P < 0.6874) and - 0.0014 kg/kg (95% CI - 0.0115, 0.0088; P < 0.7933), respectively. CONCLUSION Our findings suggest that consuming an anti-inflammatory dietary pattern could be a protective strategy against the decline in skeletal muscle strength in women.
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Affiliation(s)
- Zheng Ma
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, China
- School of Public Health of Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, West Area, Tuanbo New Town, Jinghai District, Tianjin, China
- School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Honghao Yang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, China
- School of Public Health of Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, West Area, Tuanbo New Town, Jinghai District, Tianjin, China
| | - Ge Meng
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, China.
- Department of Toxicology and Health Inspection and Quarantine, School of Public Health, Tianjin Medical University, Tianjin, China.
| | - Qing Zhang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Li Liu
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Hongmei Wu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, China
- School of Public Health of Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, West Area, Tuanbo New Town, Jinghai District, Tianjin, China
| | - Yeqing Gu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, China
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Shunming Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, China
- School of Public Health of Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, West Area, Tuanbo New Town, Jinghai District, Tianjin, China
| | - Xuena Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, China
- School of Public Health of Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, West Area, Tuanbo New Town, Jinghai District, Tianjin, China
| | - Juanjuan Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, China
- School of Public Health of Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, West Area, Tuanbo New Town, Jinghai District, Tianjin, China
| | - Shaomei Sun
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Xing Wang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Ming Zhou
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Qiyu Jia
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Kun Song
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Kaijun Niu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, China.
- School of Public Health of Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, West Area, Tuanbo New Town, Jinghai District, Tianjin, China.
- School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
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Gu Y, Wang J, Wang Y, Xu C, Liu Y, Du L, Wang Q, Ji K, He N, Zhang M, Song H, Niu K, Liu Q. Association of low-dose ionising radiation with site-specific solid cancers: Chinese medical X-ray workers cohort study, 1950-1995. Occup Environ Med 2023; 80:687-693. [PMID: 37918914 DOI: 10.1136/oemed-2023-108875] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Accepted: 10/18/2023] [Indexed: 11/04/2023]
Abstract
BACKGROUND The dose-response relationship between cancers and protracted low-dose rate exposure to ionising radiation is still uncertain. This study aims to estimate quantified relationships between low-dose radiation exposures and site-specific solid cancers among Chinese medical X-ray workers. METHODS This cohort study included 27 011 individuals who were employed at major hospitals in 24 provinces in China from 1950 to 1980 and had been exposed to X-ray equipment, and a control group of 25 782 physicians who were not exposed to X-ray equipment. Person-years of follow-up were calculated from the year of employment to the date of the first diagnosis of cancer or the end of follow-up, whichever occurred first. All cancers were obtained from medical records during 1950-1995. This study used Poisson regression models to estimate the excess relative risk (ERR) and excess absolute risk (EAR) for incidence of site-specific solid cancers associated with cumulative dose. RESULTS 1643 solid cancers were developed, the most common being lung, liver and stomach cancer. Among X-ray workers, the average cumulative colon dose was 0.084 Gy. We found a positive relationship between cumulative organ-specific dose and liver (ERR/Gy=1.48; 95% CI 0.40 to 2.83), oesophagus (ERR/Gy=18.1; 95% CI 6.25 to 39.1), thyroid (ERR/Gy=2.96; 95% CI 0.44 to 8.18) and non-melanoma skin cancers (ERR/Gy=7.96; 95% CI 2.13 to 23.12). We found no significant relationship between cumulative organ-specific doses and other cancers. Moreover, the results showed a statistically significant EAR for liver, stomach, breast cancer (female), thyroid and non-melanoma skin cancers. CONCLUSIONS These findings provided more useful insights into the risks of site-specific cancers from protracted low-dose rate exposure to ionising radiation.
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Affiliation(s)
- Yeqing Gu
- Chinese Academy of Medical Sciences & Peking Union Medical College Institute of Radiation Medicine, Tianjin, China
| | - Jinhan Wang
- Chinese Academy of Medical Sciences & Peking Union Medical College Institute of Radiation Medicine, Tianjin, China
| | - Yan Wang
- Chinese Academy of Medical Sciences & Peking Union Medical College Institute of Radiation Medicine, Tianjin, China
| | - Chang Xu
- Chinese Academy of Medical Sciences & Peking Union Medical College Institute of Radiation Medicine, Tianjin, China
| | - Yang Liu
- Chinese Academy of Medical Sciences & Peking Union Medical College Institute of Radiation Medicine, Tianjin, China
| | - Liqing Du
- Chinese Academy of Medical Sciences & Peking Union Medical College Institute of Radiation Medicine, Tianjin, China
| | - Qin Wang
- Chinese Academy of Medical Sciences & Peking Union Medical College Institute of Radiation Medicine, Tianjin, China
| | - Kaihua Ji
- Chinese Academy of Medical Sciences & Peking Union Medical College Institute of Radiation Medicine, Tianjin, China
| | - Ningning He
- Chinese Academy of Medical Sciences & Peking Union Medical College Institute of Radiation Medicine, Tianjin, China
| | - Manman Zhang
- Chinese Academy of Medical Sciences & Peking Union Medical College Institute of Radiation Medicine, Tianjin, China
| | - Huijuan Song
- Chinese Academy of Medical Sciences & Peking Union Medical College Institute of Radiation Medicine, Tianjin, China
| | - Kaijun Niu
- Chinese Academy of Medical Sciences & Peking Union Medical College Institute of Radiation Medicine, Tianjin, China
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Qiang Liu
- Chinese Academy of Medical Sciences & Peking Union Medical College Institute of Radiation Medicine, Tianjin, China
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Wu H, Gu Y, Du W, Meng G, Wu H, Zhang S, Wang X, Zhang J, Wang Y, Huang T, Niu K. Different types of screen time, physical activity, and incident dementia, Parkinson's disease, depression and multimorbidity status. Int J Behav Nutr Phys Act 2023; 20:130. [PMID: 37924067 PMCID: PMC10625186 DOI: 10.1186/s12966-023-01531-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Accepted: 10/24/2023] [Indexed: 11/06/2023] Open
Abstract
BACKGROUND Several previous studies have shown that excessive screen time is associated with an increased prevalence of dementia, Parkinson's disease (PD), and depression. However, the results have been inconsistent. This study aimed to prospectively investigate the association between different types of screen time and brain structure, as well as the incidence of dementia, Parkinson's disease, depression, and their multimorbidity status. METHODS We included 473,184 participants initially free of dementia, PD, and depression from UK Biobank, as well as 39,652 participants who had magnetic resonance imaging (MRI) data. Screen time exposure variables including TV viewing and computer using were self-reported by participants. Cox proportional hazards regression models were used to estimate the association between different types of screen time and the incidence of dementia, Parkinson's disease, depression, and their multimorbidity status. Multiple linear regression models were used to assess the linear relationship between different types of screen time and MRI biomarkers in a subgroup of participants. RESULTS During the follow up, 6,096, 3,061, and 23,700 participants first incident cases of dementia, PD, and depression respectively. For moderate versus the lowest computer uses, the adjusted HRs (95% CIs) were 0.68 (0.64, 0.72) for dementia, 0.86 (0.79, 0.93) for PD, 0.85 (0.83, 0.88) for depression, 0.64 (0.55, 0.74) for dementia and depression multimorbidity, and 0.59 (0.47, 0.74) for PD and depression multimorbidity. The multivariable HRs (95% CIs) for the highest versus the lowest group of TV viewing time were 1.28 (1.17, 1.39) for dementia, 1.16 (1.03, 1.29) for PD, 1.35 (1.29, 1.40) for depression, 1.49 (1.21, 1.84) for dementia and depression multimorbidity, and 1.44 (1.05, 1.97) for PD and depression multimorbidity. Moderate computer using time was negatively associated with white matter hyperintensity volume (β = -0.042; 95% CI -0.067, -0.017), and positively associated with hippocampal volume (β = 0.059; 95% CI 0.034, 0.084). Participants with the highest TV viewing time were negatively associated with hippocampal volume (β = -0.067; 95% CI -0.094, -0.041). In isotemporal substitution analyses, substitution of TV viewing or computer using by equal time of different types of PA was associated with a lower risk of all three diseases, with strenuous sports showing the strongest benefit. CONCLUSION We found that moderate computer use was associated with a reduced risk of dementia, PD, depression and their multimorbidity status, while increased TV watching was associated with a higher risk of these disease. Notably, different screen time may affect the risk of developing diseases by influencing brain structures. Replacing different types of screen time with daily-life PA or structured exercise is associated with lower dementia, PD, and depression risk.
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Affiliation(s)
- Hanzhang Wu
- School of Public Health of Tianjin, University of Traditional Chinese Medicine, 10 Poyanghu Road, West Area, Tuanbo New Town, Jinghai District, Tianjin, 301617, China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
- School of Integrative Medicine, Public Health Science and Engineering College, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Yeqing Gu
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Baidi Road 238, Tianjin, 300192, China.
| | - Wenxiu Du
- School of Public Health of Tianjin, University of Traditional Chinese Medicine, 10 Poyanghu Road, West Area, Tuanbo New Town, Jinghai District, Tianjin, 301617, China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Ge Meng
- School of Public Health of Tianjin, University of Traditional Chinese Medicine, 10 Poyanghu Road, West Area, Tuanbo New Town, Jinghai District, Tianjin, 301617, China
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Hongmei Wu
- School of Public Health of Tianjin, University of Traditional Chinese Medicine, 10 Poyanghu Road, West Area, Tuanbo New Town, Jinghai District, Tianjin, 301617, China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Shunming Zhang
- School of Public Health of Tianjin, University of Traditional Chinese Medicine, 10 Poyanghu Road, West Area, Tuanbo New Town, Jinghai District, Tianjin, 301617, China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xuena Wang
- School of Public Health of Tianjin, University of Traditional Chinese Medicine, 10 Poyanghu Road, West Area, Tuanbo New Town, Jinghai District, Tianjin, 301617, China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Juanjuan Zhang
- School of Public Health of Tianjin, University of Traditional Chinese Medicine, 10 Poyanghu Road, West Area, Tuanbo New Town, Jinghai District, Tianjin, 301617, China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yaogang Wang
- School of Integrative Medicine, Public Health Science and Engineering College, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
- School of Public Health, Tianjin Medical University, Qixiangtai Road 22, Tianjin, 300070, China.
| | - Tao Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China.
| | - Kaijun Niu
- School of Public Health of Tianjin, University of Traditional Chinese Medicine, 10 Poyanghu Road, West Area, Tuanbo New Town, Jinghai District, Tianjin, 301617, China.
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
- School of Integrative Medicine, Public Health Science and Engineering College, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Baidi Road 238, Tianjin, 300192, China.
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China.
- Center for International Collaborative Research On Environment, Nutrition and Public Health, Tianjin, China.
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13
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Meng G, Liu T, Rayamajhi S, Thapa A, Zhang S, Wang X, Wu H, Gu Y, Zhang Q, Liu L, Sun S, Wang X, Zhou M, Jia Q, Song K, Fang Z, Niu K. Association between soft drink consumption and carotid atherosclerosis in a large-scale adult population: The TCLSIH cohort study. Nutr Metab Cardiovasc Dis 2023; 33:2209-2219. [PMID: 37586920 DOI: 10.1016/j.numecd.2023.07.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Revised: 06/30/2023] [Accepted: 07/04/2023] [Indexed: 08/18/2023]
Abstract
BACKGROUND AND AIMS Carotid atherosclerosis indicates an increased risk for cardiac-cerebral vascular disease. Given the pattern of consumption in China, sugar-sweetened beverage is the main type of soft drink consumed. As soft drinks contain a high amount of fructose, they may be a risk factor of carotid atherosclerosis. A prospective cohort study was conducted to investigate the association between soft drink consumption and the incidence of carotid atherosclerosis in a Chinese adult population. METHODS AND RESULTS A total of 3828 participants (men: 2007 and women: 1821) were included. Carotid atherosclerosis was measured by using ultrasonography and was defined by increased carotid intima-media thickness and/or carotid plaques. Soft drink consumption was assessed using a validated food frequency questionnaire. Cox proportional hazards regression analysis was used to assess the association of soft drink consumption categories with the incidence of carotid atherosclerosis. During a mean follow-up of 3.20 years, 1009 individuals of the 3828 eligible participants developed carotid atherosclerosis. After adjusting for potential confounding factors, we compared the higher levels to the lowest level of soft drink consumption in women, and we estimated the multivariable hazard ratios and 95% confidence intervals of incident carotid atherosclerosis to be 1.09 (0.80, 1.50), and 1.56 (1.14, 2.13) (P for trend <0.05). However, there was no significant association between soft drink consumption and the incidence of carotid atherosclerosis in men or total population. CONCLUSION The result indicated that soft drink consumption was associated with a higher incidence of carotid atherosclerosis in women. TRIAL REGISTERED UMIN Clinical Trials Registry. TRIAL REGISTRATION NUMBER UMIN000027174. TRIAL REGISTRATION WEBSITE: https://upload.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000031137.
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Affiliation(s)
- Ge Meng
- Department of Toxicology and Health Inspection and Quarantine, School of Public Health, Tianjin Medical University, Tianjin, China; Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Tongfeng Liu
- Department of Toxicology and Health Inspection and Quarantine, School of Public Health, Tianjin Medical University, Tianjin, China; Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Sabina Rayamajhi
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China; School of Public Health, Tianjin University of Traditional Chinese Medicine, Tianjin, China; School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Amrish Thapa
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China; School of Public Health, Tianjin University of Traditional Chinese Medicine, Tianjin, China; School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Shunming Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China; School of Public Health, Tianjin University of Traditional Chinese Medicine, Tianjin, China; School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Xuena Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China; School of Public Health, Tianjin University of Traditional Chinese Medicine, Tianjin, China; School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Hongmei Wu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China; School of Public Health, Tianjin University of Traditional Chinese Medicine, Tianjin, China; School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Yeqing Gu
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Qing Zhang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Li Liu
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Shaomei Sun
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Xing Wang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Ming Zhou
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Qiyu Jia
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Kun Song
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Zhongze Fang
- Department of Toxicology and Health Inspection and Quarantine, School of Public Health, Tianjin Medical University, Tianjin, China.
| | - Kaijun Niu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China; School of Public Health, Tianjin University of Traditional Chinese Medicine, Tianjin, China; School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China; Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China; Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China; Tianjin Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China; National Demonstration Center for Experimental Preventive Medicine Education, Tianjin Medical University, Tianjin, China.
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14
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Zhang S, Meng G, Zhang Q, Liu L, Wu H, Gu Y, Wang X, Zhang J, Sun S, Wang X, Zhou M, Jia Q, Song K, Borné Y, Sonestedt E, Ma L, Qi L, Niu K. Dairy intake and risk of type 2 diabetes: results of a large prospective cohort. Food Funct 2023; 14:9695-9706. [PMID: 37811566 DOI: 10.1039/d3fo02023a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/10/2023]
Abstract
Background and aims: Previous studies of primarily Western populations have consistently documented a lower risk of type 2 diabetes (T2D) among people with a higher yogurt intake, but an inconsistent association with milk intake. However, little is known about the association between dairy intake and risk of T2D among Chinese adults who consume considerably less dairy (mainly milk and yogurt) compared with Western populations. The aim is to investigate the associations of dairy intake with the risk of incident T2D in the general adult population in China. Methods: This cohort study consisted of 22 843 participants without prevalent cardiovascular disease, cancer, or diabetes at the baseline. Dietary data were collected using a validated food frequency questionnaire at the baseline (2013-2018); dairy intake was categorized into tertiles after zero consumers were taken as the reference. Incident T2D was ascertained by medical examinations and self-report of physician-diagnosed diabetes during follow-up visits. Cox proportional hazards models were performed to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs). Results: In total, 735 incident T2D cases were recorded over a median follow-up of 4.0 years. Relative to zero consumers, the HRs (95% CIs) for incident T2D among participants in the highest tertiles were 0.70 (0.57, 0.87) for total dairy, 0.73 (0.60, 0.90) for milk, and 0.81 (0.66, 1.00) for yogurt. Such associations were slightly attenuated by additional adjustment for the body mass index. In addition, such inverse associations were robust in sensitivity analyses and consistent in most of the subgroups defined by baseline characteristics. Conclusion: Higher intakes of total dairy, milk, and yogurt were all associated with a lower risk of T2D among Chinese adults.
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Affiliation(s)
- Shunming Zhang
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China.
| | - Ge Meng
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Qing Zhang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Li Liu
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Hongmei Wu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yeqing Gu
- Nutrition and Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Xuena Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Juanjuan Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Shaomei Sun
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Xing Wang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Ming Zhou
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Qiyu Jia
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Kun Song
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Yan Borné
- Nutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Emily Sonestedt
- Nutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Le Ma
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China.
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA.
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Kaijun Niu
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin, China
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
- Nutrition and Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China
- Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China
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15
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Song Y, Gu Y, Guo H, Yang H, Wang X, Wu H, Wang A, Wang H, Zhang Q, Zhang Q, Liu L, Meng G, Liu B, Niu K. Association Between Neutrophil-to-Lymphocyte Ratio and Benign Prostatic Hyperplasia: Results from the TCLSIH Cohort Study. J Inflamm Res 2023; 16:4857-4866. [PMID: 37904787 PMCID: PMC10613407 DOI: 10.2147/jir.s431049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Accepted: 10/18/2023] [Indexed: 11/01/2023] Open
Abstract
Purpose The prevalence of benign prostatic hyperplasia (BPH) in the general Chinese adult male population has risen sharply over the past few decades. Increasing evidence suggests that inflammation plays an important role in the pathogenesis of BPH. To better understand the role of inflammation in the pathogenesis of BPH, we can use the neutrophil-to-lymphocyte ratio (NLR) because it is a simple and effective marker of inflammation and immunity. This study aims to prospectively investigate the association between NLR levels and the prevalence of BPH in a general Chinese adult male population. Patients and Methods This study included a total of 15,783 male participants free from BPH at baseline. NLR was measured according to the complete blood count. BPH was defined as total prostate volume (TPV) ≥30 mL, and TPV was determined by transabdominal ultrasonography. Multivariable Cox proportional hazards models were fitted to calculate hazards ratios (HRs) and corresponding 95% confidence intervals (CIs) for BPH risk with NLR levels. Results During a median follow-up of 2.7 years, 5078 BPH cases were documented. After adjusting for age, body mass index, smoking, alcohol, education, occupation, income, physical activity, total energy intake, personal and family history of disease, and inflammation markers, the multivariable-adjusted HRs of BPH were 1.00 (reference), 1.08 (95% CIs 0.99, 1.17), 1.10 (95% CIs1.02, 1.19), and 1.12 (95% CIs1.03, 1.21), respectively, for participants with NLR in the first, second, third, and fourth quartiles (P for trend <0.01). Conclusion Higher NLR levels were associated with a higher risk of BPH in Chinese adult male population. Our findings support the notion that NLR levels may be an important target for BPH prevention and intervention.
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Affiliation(s)
- Yanqi Song
- Department of Traditional Chinese Medicine, Tianjin Medical University General Hospital, Tianjin, People’s Republic of China
| | - Yeqing Gu
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People’s Republic of China
| | - Honglei Guo
- School of Graduate, Tianjin University of Traditional Chinese Medicine, Tianjin, People’s Republic of China
| | - Honghao Yang
- School of Public Health, Tianjin University of Traditional Chinese Medicine, Tianjin, People’s Republic of China
- School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, People’s Republic of China
- Nutritional Epidemiology Institute, Tianjin Medical University, Tianjin, People’s Republic of China
| | - Xuena Wang
- School of Public Health, Tianjin University of Traditional Chinese Medicine, Tianjin, People’s Republic of China
- School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, People’s Republic of China
- Nutritional Epidemiology Institute, Tianjin Medical University, Tianjin, People’s Republic of China
| | - Hongmei Wu
- School of Public Health, Tianjin University of Traditional Chinese Medicine, Tianjin, People’s Republic of China
- School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, People’s Republic of China
- Nutritional Epidemiology Institute, Tianjin Medical University, Tianjin, People’s Republic of China
| | - Aidi Wang
- Department of Traditional Chinese Medicine, Tianjin Medical University General Hospital, Tianjin, People’s Republic of China
| | - Haijin Wang
- Department of Traditional Chinese Medicine, Tianjin Medical University General Hospital, Tianjin, People’s Republic of China
| | - Quan Zhang
- Department of Traditional Chinese Medicine, Tianjin Medical University General Hospital, Tianjin, People’s Republic of China
| | - Qing Zhang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, People’s Republic of China
| | - Li Liu
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, People’s Republic of China
| | - Ge Meng
- Nutritional Epidemiology Institute, Tianjin Medical University, Tianjin, People’s Republic of China
| | - Baoshan Liu
- Department of Traditional Chinese Medicine, Tianjin Medical University General Hospital, Tianjin, People’s Republic of China
| | - Kaijun Niu
- School of Public Health, Tianjin University of Traditional Chinese Medicine, Tianjin, People’s Republic of China
- School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, People’s Republic of China
- Nutritional Epidemiology Institute, Tianjin Medical University, Tianjin, People’s Republic of China
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16
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Zhang Y, Zhang T, Liu Y, Bai S, Jiang J, Zhou H, Luan J, Cao L, Lv Y, Zhang Q, Liu L, Sun S, Wang X, Zhou M, Jia Q, Song K, Zhang H, Chang Q, Fan X, Ding Y, Chen L, Zhao Y, Niu K, Xia Y. Adherence to healthy lifestyle was associated with an attenuation of the risk of chronic kidney disease from metabolic dysfunction-associated fatty liver disease: Results from two prospective cohorts. Diabetes Metab Syndr 2023; 17:102873. [PMID: 37804689 DOI: 10.1016/j.dsx.2023.102873] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 09/27/2023] [Accepted: 09/29/2023] [Indexed: 10/09/2023]
Abstract
AIMS Non-alcoholic fatty liver disease (NAFLD) and metabolic dysfunction-associated fatty liver disease (MAFLD) are important risk factors of chronic kidney disease (CKD). Whether adherence to a healthy lifestyle can modify these effects remain unknown. This study aimed to evaluate the modification effects of healthy lifestyle on the associations among NAFLD, MAFLD, and the risk of CKD, with taking into the effect of genetic risk. METHODS The Tianjin Chronic Low-grade Systemic Inflammation and Health Cohort Study (TCLSIH), the UK Biobank Study (UKB). The outcome was incident CKD. The exposures including NAFLD, MAFLD, healthy lifestyle, and a genetic risk score (GRS) for CKD. RESULTS After 1,135,334 person-year follow-up, we documented 2975 incident CKD cases in the two cohorts. MAFLD and NAFLD were associated with a higher risk of CKD, particularly in patients with MAFLD. In the TCLSIH and UKB, the hazard ratios (95% confidence intervals) of incident CKD for MAFLD were 1.47 (1.30, 1.66) and 1.73 (1.57, 1.91), respectively. Adherence to a healthier lifestyle decreased the risk of CKD from MAFLD with significant interaction effects (TCLSIH: Pinteraction = 0.02; UKB: Pinteraction = 0.04). Participants with a lower CKD-GRS experienced a higher risk of CKD from MAFLD, but achieved two healthy lifestyles can significantly decreased the risk of CKD in patients with MAFLD. CONCLUSIONS MAFLD and NAFLD are associated with a higher CKD risk, particularly MAFLD. Adherence to a healthier lifestyle was associated with a lower risk of CKD from MAFLD. These results highlight the important role of following a healthy lifestyle to prevent CKD.
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Affiliation(s)
- Yixiao Zhang
- Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Shenyang, China; Department of Urology Surgery, Shengjing Hospital of China Medical University, Shenyang, China
| | - Tingjing Zhang
- School of Public Health, Wannan Medical College, Wuhu, China
| | - Yashu Liu
- Department of General Surgery, Shengjing Hospital of China Medical University, Shenyang, China
| | - Song Bai
- Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Shenyang, China; Department of Urology Surgery, Shengjing Hospital of China Medical University, Shenyang, China
| | - Jinguo Jiang
- Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Shenyang, China; Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Hua Zhou
- Department of Nephrology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Junjun Luan
- Department of Nephrology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Limin Cao
- The Third Central Hospital of Tianjin, Tianjin, China
| | - Yanling Lv
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qing Zhang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Li Liu
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Shaomei Sun
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Xing Wang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Ming Zhou
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Qiyu Jia
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Kun Song
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Hehua Zhang
- Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Shenyang, China
| | - Qing Chang
- Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Shenyang, China
| | - Xiude Fan
- Department of Endocrinology, Shandong Provincial Hospital, Shandong University, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Yang Ding
- Department of Infectious Diseases, Shengjing Hospital of China Medical University, Shenyang, China; Diagnosis and Treatment Centre for Liver Diseases of Liaoning Province, China
| | - Liangkai Chen
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yuhong Zhao
- Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Shenyang, China; Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
| | - Kaijun Niu
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China; Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
| | - Yang Xia
- Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Shenyang, China; Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
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17
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Song Y, Gu Y, Guo H, Yang H, Wang X, Wu H, Wang A, Wang M, Wang H, Zhang Q, Liu L, Meng G, Liu B, Niu K. Association Between Mean Platelet Volume and Benign Prostatic Hyperplasia: A Population Study from the TCLSIH Cohort Study. J Inflamm Res 2023; 16:3259-3269. [PMID: 37564954 PMCID: PMC10411514 DOI: 10.2147/jir.s416404] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Accepted: 07/11/2023] [Indexed: 08/12/2023] Open
Abstract
Purpose This study aimed to prospectively investigate the association between mean platelet volume (MPV) levels and risk of benign prostatic hyperplasia (BPH) in a general Chinese adult male population, and assessed this association in metabolic syndrome (MetS) patients. Patients and methods This study included a total of 14,923 male participants free from BPH at baseline. MPV was measured by the method of laser-based flow cytometric impedance according to the complete blood sample. BPH was defined as total prostate volume (TPV) ≥ 30 mL, TPV was determined by transabdominal ultrasonography. Multivariable Cox proportional hazards models were fitted to calculate hazards ratios (HRs) and corresponding 95% confidence intervals (CIs) for BPH risk with NLR levels. Results During a median follow-up of 2.7 years, 4848 BPH cases were documented in total male participants, and 1787 BPH cases were documented in MetS participants. After adjusting for age, body mass index, smoking, alcohol and personal and family history of disease, the multivariable-adjusted HRs of BPH were 1.00 (reference), 1.03 (95% CIs 0.96, 1.11), 1.00 (95% CIs 0.92, 1.08) and 0.98 (95% CIs 0.90, 1.06), respectively, for participants with MPV in the 1st, 2nd, 3rd and 4th quartiles (P for trend = 0.47). In MetS patients, the multivariable-adjusted HRs of BPH were 1.00 (reference), 1.03 (95% CIs 0.90, 1.16), 0.99 (95% CIs 0.87, 1.14) and 1.01 (95% CIs 0.89, 1.15) (P for trend= 0.98), respectively. Conclusion A non-significant association was observed between MPV levels and risk of BPH, and no association in this association in MetS patients. Our findings support the notion that MPV levels may not be a target for BPH prevention and intervention.
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Grants
- This study was supported by grants from the Study of Diet and Nutrition Assessment and Intervention Technology (No. 2020YFC2006300) from Active Health and Aging Technologic Solutions Major Project of National Key R&D Program——Study on Intervention Strategies of Main Nutrition Problems in China (No. 2020YFC2006305), National Natural Science Foundation of China (Nos. 81941024, 81872611, 82103837, 81903315 and 8197141228), Tianjin Major Public Health Science and Technology Project (No. 21ZXGWSY00090), National Health Commission of China (No. SPSYYC 2020015), Food Science and Technology Foundation of Chinese Institute of Food Science and Technology (No. 2019-12), 2014 and 2016 Chinese Nutrition Society (CNS) Nutrition Research Foundation—DSM Research Fund (Nos. 2016-046, 2014-071 and 2016-023), China
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Affiliation(s)
- Yanqi Song
- Department of Traditional Chinese Medicine, Tianjin Medical University General Hospital, Tianjin, People’s Republic of China
| | - Yeqing Gu
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People’s Republic of China
| | - Honglei Guo
- Tianjin University of Traditional Chinese Medicine, Tianjin, People’s Republic of China
| | - Honghao Yang
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, People’s Republic of China
- School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, People’s Republic of China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, People’s Republic of China
| | - Xuena Wang
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, People’s Republic of China
- School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, People’s Republic of China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, People’s Republic of China
| | - Hongmei Wu
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, People’s Republic of China
- School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, People’s Republic of China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, People’s Republic of China
| | - Aidi Wang
- Department of Traditional Chinese Medicine, Tianjin Medical University General Hospital, Tianjin, People’s Republic of China
| | - Mengxiao Wang
- Binzhou Hospital of Chinese Medicine, Shandong, People’s Republic of China
| | - Haijin Wang
- Department of Traditional Chinese Medicine, Tianjin Medical University General Hospital, Tianjin, People’s Republic of China
| | - Qing Zhang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, People’s Republic of China
| | - Li Liu
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, People’s Republic of China
| | - Ge Meng
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, People’s Republic of China
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, People’s Republic of China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, People’s Republic of China
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin, People’s Republic of China
| | - Baoshan Liu
- Department of Traditional Chinese Medicine, Tianjin Medical University General Hospital, Tianjin, People’s Republic of China
| | - Kaijun Niu
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, People’s Republic of China
- School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, People’s Republic of China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, People’s Republic of China
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18
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Wu H, Gu Y, Wang X, Meng G, Rayamajhi S, Thapa A, Zhang Q, Liu L, Zhang S, Zhang T, Cao Z, Dong J, Zheng X, Zhang X, Dong X, Wang X, Sun S, Jia Q, Song K, Huang J, Huo J, Zhang B, Ding G, Niu K. Association Between Handgrip Strength and Type 2 Diabetes: A Prospective Cohort Study and Systematic Review With Meta-analysis. J Gerontol A Biol Sci Med Sci 2023; 78:1383-1391. [PMID: 36504134 DOI: 10.1093/gerona/glac241] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Indexed: 08/03/2023] Open
Abstract
BACKGROUND Both absolute (kg) and relative (kg per kg of body weight) handgrip strength (HGS) have been used as indicators of HGS. Multiple studies have explored HGS associations with type 2 diabetes (T2DM); however, prognostic values were inconsistent. We aimed to examine the associations between both absolute and relative HGS and incident T2DM. METHODS A total of 12,957 participants aged 40 years and older (mean age 51.0 years, 58.4% men) were followed and enrolled in the Tianjin Chronic Low-grade Systemic Inflammation and Health (TCLSIH) Cohort Study. Cox proportional hazards regression models were used to examine the association of HGS with incident T2DM. Other prospective studies on HGS and risk of T2DM were identified by searching several electronic databases up to November 31, 2021. Meta-analysis was performed by combining the results from the TCLSIH study and previous prospective cohort studies. RESULTS From the TCLSIH Cohort study, after adjustment, relative HGS was inversely associated with T2DM (hazard ratio per 0.1 higher relative HGS 0.667, 95% confidence interval [CI] 0.616, 0.722). However, no significant association between absolute HGS and incident T2DM was found. The meta-analyses showed that per 5 kg higher HGS was associated with a 5% (95% CI 2%, 8%) lower risk of T2DM and each 0.1 higher relative HGS was associated with a 22% (95% CI 14%, 29%) lower risk of T2DM. CONCLUSION The results from our cohort study and meta-analysis suggest that relative HGS was better than absolute HGS in predicting incident T2DM. Adiposity was an important factor that mediates the association between HGS and T2DM.
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Affiliation(s)
- Hongmei Wu
- Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China
- Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Yeqing Gu
- Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Xuena Wang
- Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Ge Meng
- Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China
- Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Sabina Rayamajhi
- Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Amrish Thapa
- Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Qing Zhang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Li Liu
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Shunming Zhang
- Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Tingjing Zhang
- Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Zhixia Cao
- Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Jun Dong
- Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xiaoxi Zheng
- Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xu Zhang
- Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xinrong Dong
- Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xing Wang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Shaomei Sun
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Qiyu Jia
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Kun Song
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Jian Huang
- Chinese Center for Disease Control and Prevention National Institute for Nutrition and Health, Beijing, China
| | - Junsheng Huo
- Chinese Center for Disease Control and Prevention National Institute for Nutrition and Health, Beijing, China
| | - Bing Zhang
- Chinese Center for Disease Control and Prevention National Institute for Nutrition and Health, Beijing, China
| | - Gangqiang Ding
- Chinese Center for Disease Control and Prevention National Institute for Nutrition and Health, Beijing, China
| | - Kaijun Niu
- Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China
- Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
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Sun Q, Guo C, Liu Y, Zhang Q, Liu L, Sun S, Wang X, Zhou M, Jia Q, Song K, Ding Y, Zhao Y, Niu K, Xia Y. The independent and combined effects of dietary and sleep patterns on the risk of metabolic dysfunction-associated fatty liver disease: a population-based cohort study. Food Funct 2023; 14:7146-7155. [PMID: 37462398 DOI: 10.1039/d3fo01396k] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/01/2023]
Abstract
Background & aims: accumulating evidence shows that various sleep behaviors are related to metabolic dysfunction-associated fatty liver disease (MAFLD), and that diet plays an important role in both preventing and treating this condition. However, the overall effect of a healthy sleep pattern and its joint effect with diet on the risk of MAFLD remain unclear. The aim of this study is to explore the independent and combined effects of dietary and sleep patterns on the MAFLD risk. Methods: this population-based prospective cohort study was conducted in China with a sample size of 13 687 participants. MAFLD was diagnosed through abdominal ultrasound and international expert consensus. Five healthy sleep behaviors were identified to create a healthy sleep pattern, while factor analysis was used to determine dietary patterns. Cox proportional hazards regression was utilized to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). Results: during a total of 49 912 person-years of follow-up, 2977 new cases of MAFLD were identified. The adjusted HRs (95% CIs) of MAFLD in relation to the healthy sleep pattern score were 0.87 (0.78-0.97), 0.83 (0.75-0.92), and 0.77 (0.68-0.87) for scores of 3, 4, and 5, respectively, compared to participants with the lowest score (0-2). A higher intake of animal food (adjusted HR4th quartile vs. 1st quartile, 1.15, 95% CI, 1.03-1.27) and a lower intake of vegetables (adjusted HR4th quartile vs. 1st quartile, 0.88, 95% CI, 0.78-0.99) were associated with a higher risk of MAFLD. Participants who adhered to both healthy dietary and sleep patterns had the lowest MAFLD risk compared to those who followed only one or neither of them. Conclusions: a healthy sleep pattern, especially in combination with a healthy diet, was associated with a lower risk of MAFLD. Future prevention strategies for MAFLD should include consideration of sleep behaviors, in addition to the current recommendations.
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Affiliation(s)
- Qianjia Sun
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, China Medical University, Shenyang, China.
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shenyang, China
| | - Chuanji Guo
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, China Medical University, Shenyang, China.
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shenyang, China
| | - Yashu Liu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, China Medical University, Shenyang, China.
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shenyang, China
| | - Qing Zhang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Li Liu
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Shaomei Sun
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Xing Wang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Ming Zhou
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Qiyu Jia
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Kun Song
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Yang Ding
- Department of Infectious Diseases, Shengjing Hospital of China Medical University, China Medical University, Shenyang, China
| | - Yuhong Zhao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, China Medical University, Shenyang, China.
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shenyang, China
| | - Kaijun Niu
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yang Xia
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, China Medical University, Shenyang, China.
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shenyang, China
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20
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Zhang S, Stubbendorff A, Ericson U, Wändell P, Niu K, Qi L, Borné Y, Sonestedt E. The EAT-Lancet diet, genetic susceptibility and risk of atrial fibrillation in a population-based cohort. BMC Med 2023; 21:280. [PMID: 37507726 PMCID: PMC10386230 DOI: 10.1186/s12916-023-02985-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Accepted: 07/19/2023] [Indexed: 07/30/2023] Open
Abstract
BACKGROUND The EAT-Lancet Commission proposed a global reference diet with both human health benefits and environmental sustainability in 2019. However, evidence regarding the association of such a diet with the risk of atrial fibrillation (AF) is lacking. In addition, whether the genetic risk of AF can modify the effect of diet on AF remains unclear. This study aimed to assess the association of the EAT-Lancet diet with the risk of incident AF and examine the interaction between the EAT-Lancet diet and genetic susceptibility of AF. METHODS This prospective study included 24,713 Swedish adults who were free of AF, coronary events, and stroke at baseline. Dietary habits were estimated with a modified diet history method, and an EAT-Lancet diet index was constructed to measure the EAT-Lancet reference diet. A weighted genetic risk score was constructed using 134 variants associated with AF. Cox proportional hazards regression models were applied to estimate the hazard ratio (HR) and 95% confidence interval (CI). RESULTS During a median follow-up of 22.9 years, 4617 (18.7%) participants were diagnosed with AF. The multivariable HR (95% CI) of AF for the highest versus the lowest group for the EAT-Lancet diet index was 0.84 (0.73, 0.98) (P for trend < 0.01). The HR (95% CI) of AF per one SD increment of the EAT-Lancet diet index for high genetic risk was 0.92 (0.87, 0.98) (P for interaction = 0.15). CONCLUSIONS Greater adherence to the EAT-Lancet diet index was significantly associated with a lower risk of incident AF. Such association tended to be stronger in participants with higher genetic risk, though gene-diet interaction was not significant.
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Affiliation(s)
- Shunming Zhang
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China.
- Nutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Jan Waldenströms Gata 35, 21428, Malmö, Sweden.
| | - Anna Stubbendorff
- Nutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Jan Waldenströms Gata 35, 21428, Malmö, Sweden
| | - Ulrika Ericson
- Diabetes and Cardiovascular Disease-Genetic Epidemiology, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Per Wändell
- Department of Neurobiology Care Sciences and Society, Division of Family Medicine and Primary Care, Karolinska Institutet, Huddinge, Sweden
| | - Kaijun Niu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Yan Borné
- Nutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Jan Waldenströms Gata 35, 21428, Malmö, Sweden
| | - Emily Sonestedt
- Nutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Jan Waldenströms Gata 35, 21428, Malmö, Sweden.
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21
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Wu H, Gu Y, Meng G, Zhang Q, Liu L, Wu H, Zhang S, Zhang T, Wang X, Zhang J, Sun S, Wang X, Zhou M, Jia Q, Song K, Chang H, Huang T, Niu K. Relationship between dietary pattern and depressive symptoms: an international multicohort study. Int J Behav Nutr Phys Act 2023; 20:74. [PMID: 37340419 DOI: 10.1186/s12966-023-01461-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 04/30/2023] [Indexed: 06/22/2023] Open
Abstract
BACKGROUND Several previous studies have shown that dietary patterns are associated with the incidence of depressive symptoms. However, the results have been inconsistent. This study aimed to prospectively investigate the association between dietary patterns and the risk of depressive symptoms in two large cohort studies. METHODS The Tianjin Chronic Low-grade Systemic Inflammation and Health (TCLSIH) cohort study included a total of 7,094 participants living in Tianjin, China from 2013 to 2019, and the UK Biobank cohort study includes 96,810 participants who were recruited from 22 assessment centers across the UK taken between 2006 and 2010. All participants were free of a history of cardiovascular disease (CVD), cancer, and depressive symptoms at baseline. Dietary patterns at baseline were identified with factor analysis based on responses to a validated food frequency questionnaire in TCLSIH or Oxford WebQ in UK Biobank. Depressive symptoms were evaluated using the Chinese version of the Zung Self-Rating Depression Scale (SDS) in TCLSIH or hospital inpatient records in UK Biobank. Cox proportional hazards regression models were used to estimate the association between dietary patterns and depressive symptoms. RESULTS A total of 989, and 1,303 participants developed depressive symptoms during 17,410 and 709,931 person-years of follow-up. After adjusting for several potential confounders, the multivariable HRs (95% CIs) of the depressive symptoms were 0.71 (0.57, 0.88) for traditional Chinese dietary pattern, 1.29 (1.07, 1.55) for processed animal offal included animal food dietary pattern, and 1.22 (1.02, 1.46) for sugar rich dietary pattern in TCLSIH (all Q4 vs Q1). In the UK Biobank, the HRs (95% CIs) of depressive symptoms were 1.39 (1.16, 1.68) for processed food dietary pattern (Q4 vs Q1), 0.90 (0.77, 1.00) for healthy dietary pattern (Q3 vs Q1), and 0.89 (0.75, 1.05) for meat dietary pattern (Q4 vs Q1) in the final adjusted model. CONCLUSION Dietary patterns rich in processed foods were associated with a higher risk of depressive symptoms, and following a traditional Chinese dietary pattern or healthy dietary pattern was associated with a lower risk of depressive symptoms, whereas meat dietary pattern was not associated.
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Affiliation(s)
- Hanzhang Wu
- School of Public Health, Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, West Area, Tuanbo New Town, Tianjin, Jinghai District, 301617, China
- School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yeqing Gu
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
| | - Ge Meng
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
- Department of Toxicology and Health Inspection and Quarantine, School of Public Health, Tianjin Medical University General Hospital, Tianjin, China
| | - Qing Zhang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Li Liu
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Hongmei Wu
- School of Public Health, Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, West Area, Tuanbo New Town, Tianjin, Jinghai District, 301617, China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Shunming Zhang
- School of Public Health, Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, West Area, Tuanbo New Town, Tianjin, Jinghai District, 301617, China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Tingjing Zhang
- School of Public Health, Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, West Area, Tuanbo New Town, Tianjin, Jinghai District, 301617, China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xuena Wang
- School of Public Health, Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, West Area, Tuanbo New Town, Tianjin, Jinghai District, 301617, China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Juanjuan Zhang
- School of Public Health, Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, West Area, Tuanbo New Town, Tianjin, Jinghai District, 301617, China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Shaomei Sun
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Xing Wang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Ming Zhou
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Qiyu Jia
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Kun Song
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Hong Chang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Tao Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China.
| | - Kaijun Niu
- School of Public Health, Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, West Area, Tuanbo New Town, Tianjin, Jinghai District, 301617, China.
- School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China.
- Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China.
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Gu Y, Song Z, Li Q, Wang J, Song Y, Meng G, Wu H, Zhang S, Wang X, Zhang J, Lu X, Liu Q, Huang T, Yang J, Niu K. Association of Thyroid-Stimulating Hormone With All-Cause Mortality: A 2-Sample Mendelian Randomization Study. J Clin Endocrinol Metab 2023; 108:e396-e403. [PMID: 36658102 DOI: 10.1210/clinem/dgad025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/13/2022] [Revised: 01/09/2023] [Accepted: 01/13/2023] [Indexed: 01/21/2023]
Abstract
CONTEXT Thyroid-stimulating hormone (TSH), as the most sensitive and specific marker of thyroid status, is associated with multiple health outcomes, including mortality. However, whether TSH levels are causally associated with the risk of mortality remains unclear. OBJECTIVE This study aims to investigate the causal association between TSH levels and all-cause mortality using Mendelian randomization (MR) analyses. METHODS MR analyses using single-nucleotide polymorphisms (SNPs) associated with TSH levels (P < 5 × 10-8) as instruments. Mortality data were obtained from the UK Biobank, including 384 344 participants who were recruited from 22 assessment centers across the UK taken between 2006 and 2010. Cox proportional hazards regression was used to estimate the association of the TSH genetic risk score (GRS) with all-cause and cause-specific mortality. RESULTS 15 557 individuals died during a median of 9.00 years of follow-up in the UK Biobank. A total of 70 SNPs were included in the MR analysis. The main MR analyses showed that 1 SD increase in TSH was associated with a decreased risk of all-cause mortality (OR 0.972, 95% CI 0.948-0.996), which may be largely attributed to respiratory disease mortality (OR 0.881, 95% CI 0.805-0.963). The multivariable hazard ratios (HRs) (95% CI) of all-cause mortality across 3 TSH GRS categories were 1.00 (reference), 0.976 (0.940-1.014), and 0.947 (0.911-0.985), respectively (P for trend < .01). Moreover, except digestive diseases mortality, genetically predicted TSH levels were negatively associated with mortality from CVD, cancer, noncancer diseases causes, and dementia, although not statistically significant. CONCLUSION Higher TSH levels were causally associated with lower risk of all-cause mortality, which may be largely attributed to respiratory disease mortality.
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Affiliation(s)
- Yeqing Gu
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300192, China
| | - Zimin Song
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100817, China
| | - Qingkui Li
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Jinhan Wang
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300192, China
| | - Yanqi Song
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Ge Meng
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Hongmei Wu
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Shunming Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Xuena Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Juanjuan Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Xinran Lu
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300192, China
| | - Qiang Liu
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300192, China
| | - Tao Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100817, China
| | - Jian Yang
- School of Life Sciences, Westlake University, Hangzhou 310024, China
- Westlake Laboratory of Life Sciences and Biomedicine, Westlake University, Hangzhou 310024, China
| | - Kaijun Niu
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300192, China
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin 300070, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin 300070, China
- Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China
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Kang J, Fang C, Li Y, Yuan Y, Niu K, Zheng Y, Yu Y, Wang G, Li Y. Effects of qCON and qNOX-guided general anaesthesia management on patient opioid use and prognosis: a study protocol. BMJ Open 2023; 13:e069134. [PMID: 37130687 PMCID: PMC10163456 DOI: 10.1136/bmjopen-2022-069134] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/04/2023] Open
Abstract
INTRODUCTION The adverse effects of general anaesthetic drugs (especially opioids) cannot be ignored. However, current nociceptive-monitoring techniques still lack consistency in guiding the use of opioids. This trial will study the demand for opioid use and patient prognosis in qCON and qNOX-guided general anaesthesia management. METHODS AND ANALYSIS This prospective, randomised, controlled trial will randomly recruit 124 patients undergoing general anaesthesia for non-cardiac surgery in equal numbers to either the qCON or BIS group. The qCON group will adjust intraoperative propofol and remifentanil dosage according to qCON and qNOX values, while the BIS group will adjust according to BIS values and haemodynamic fluctuations. The differences between the two groups will be observed in remifentanil dosing and prognosis. The primary outcome will be intraoperative remifentanil use. Secondary outcomes will include propofol consumption; the predictive ability of BIS, qCON and qNOX on conscious responses, noxious stimulus and body movements; and changes in cognitive function at 90 days postoperatively. ETHICS AND DISSEMINATION This study involves human participants and was approved by the Ethics Committee of the Tianjin Medical University General Hospital (IRB2022-YX-075-01). Participants gave informed consent to participate in the study before taking part. The study results will be published in peer-reviewed journals and presented at relevant academic conferences. TRIAL REGISTRATION NUMBER ChiCTR2200059877.
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Affiliation(s)
- Jiamin Kang
- Department of Anesthesiology, Tianjin Medical University General Hospital, Tianjin, China
- Tianjin Research Institute of Anesthesiology, Tianjin, China
| | - Chongliang Fang
- Department of Anesthesiology, Tianjin Medical University General Hospital, Tianjin, China
- Tianjin Research Institute of Anesthesiology, Tianjin, China
| | - Yuanjie Li
- Department of Anesthesiology, Tianjin Medical University General Hospital, Tianjin, China
- Tianjin Research Institute of Anesthesiology, Tianjin, China
| | - Yuan Yuan
- Department of Anesthesiology, Tianjin Medical University General Hospital, Tianjin, China
- Tianjin Research Institute of Anesthesiology, Tianjin, China
| | - Kaijun Niu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yuxin Zheng
- Department of Anesthesiology, Tianjin Medical University General Hospital, Tianjin, China
- Tianjin Research Institute of Anesthesiology, Tianjin, China
| | - Yonghao Yu
- Department of Anesthesiology, Tianjin Medical University General Hospital, Tianjin, China
- Tianjin Research Institute of Anesthesiology, Tianjin, China
| | - Guolin Wang
- Department of Anesthesiology, Tianjin Medical University General Hospital, Tianjin, China
- Tianjin Research Institute of Anesthesiology, Tianjin, China
| | - Yize Li
- Department of Anesthesiology, Tianjin Medical University General Hospital, Tianjin, China
- Tianjin Research Institute of Anesthesiology, Tianjin, China
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24
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Wu H, Gu Y, Meng G, Wu H, Zhang S, Wang X, Zhang J, Huang T, Niu K. Quality of plant-based diet and the risk of dementia and depression among middle-aged and older population. Age Ageing 2023; 52:7181249. [PMID: 37247402 DOI: 10.1093/ageing/afad070] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Indexed: 05/31/2023] Open
Abstract
BACKGROUND several previous studies have shown the importance of the plant-based diets. However, not all plant-based foods are necessarily beneficial for dementia or depression. This study aimed to prospectively investigate the association between an overall plant-based diet and the incidence of dementia or depression. METHODS we included 180,532 participants from the UK Biobank cohort study, free of a history of cardiovascular disease, cancer, dementia and depression at baseline. We calculated an overall plant-based diet index (PDI), a healthful plant-based diet index (hPDI) and an unhealthful plant-based diet index (uPDI) based on 17 major food groups from Oxford WebQ. Dementia and depression were evaluated using hospital inpatient records in UK Biobank. Cox proportional hazards regression models were used to estimate the association between PDIs and the incidence of dementia or depression. RESULTS during the follow-up, 1,428 dementia cases and 6,781 depression cases were documented. After adjusting for several potential confounders and comparing the highest with the lowest quintile of three plant-based diet indices, the multivariable hazard ratios (95% confidence intervals (CIs)) for dementia were 1.03 (0.87, 1.23) for PDI, 0.82 (0.68, 0.98) for hPDI and 1.29 (1.08, 1.53) for uPDI. The hazard ratios (95% CI) for depression were 1.06 (0.98, 1.14) for PDI, 0.92 (0.85, 0.99) for hPDI and 1.15 (1.07, 1.24) for uPDI. CONCLUSION a plant-based diet rich in healthier plant foods was associated with a lower risk of dementia and depression, whereas a plant-based diet that emphasises less-healthy plant foods was associated with a higher risk of dementia and depression.
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Affiliation(s)
- Hanzhang Wu
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yeqing Gu
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Ge Meng
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Hongmei Wu
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Shunming Zhang
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Xuena Wang
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Juanjuan Zhang
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Tao Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Kaijun Niu
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China
- Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China
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25
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Quan J, Zhang T, Gu Y, Meng G, Zhang Q, Liu L, Wu H, Zhang S, Wang X, Zhang J, Sun S, Wang X, Zhou M, Jia Q, Song K, Niu K. Green tea intake and the risk of hypertension in premenopausal women: the TCLSIH cohort study. Food Funct 2023; 14:4406-4413. [PMID: 37097224 DOI: 10.1039/d2fo03342a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/26/2023]
Abstract
Background and aims: Tea polyphenols, such as green tea polyphenols, have been extensively studied as agents that ameliorate cardiovascular disease and blood pressure in vitro and in animal studies. However, epidemiological evidence for the association of green tea consumption with hypertension (HTN) is inconsistent. In addition, such an association has not been prospectively examined in the general adult population, particularly among young women. Therefore, we designed a cohort study to examine whether green tea consumption increases the risk of HTN in premenopausal women. Methods and results: This prospective cohort study investigated 6633 premenopausal female participants without hypertension, cardiovascular disease, and cancer at the baseline. Green tea consumption was measured at the baseline using a validated food frequency questionnaire. Hypertension was confirmed with the SBP ≥140 mm Hg-1 or with the DBP ≥90 mm Hg-1. Cox proportional hazards regression models were used to examine the association of green tea consumption with incident hypertension. A total of 488 first incident cases of hypertension occurred during 24 957 person-years of follow-up (median follow-up of 4.0 years). After adjustment for potential confounding variables, the multivariable hazard ratios (95% confidence intervals) for incident hypertension in premenopausal female participants with different green tea consumption frequencies were 1.00 (reference) for almost never, 0.84 (0.67, 1.07) for 1 cup per week, 1.02 (0.77, 1.35) for 2-6 cups per week, and 0.65 (0.44, 0.96) for ≥1 cup per day. Conclusions: The results from our prospective study indicate that the consumption of green tea is associated with a reduced risk of HTN in premenopausal women.
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Affiliation(s)
- Jing Quan
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
| | - Tingjing Zhang
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China
- School of Public Health, Wannan Medical College, 22 West Wenchang Road, Wuhu, Anhui Province, 241002, People's Republic of China
| | - Yeqing Gu
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
| | - Ge Meng
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Qing Zhang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Li Liu
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Hongmei Wu
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
| | - Shunming Zhang
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
| | - Xuena Wang
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
| | - Juanjuan Zhang
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
| | - Shaomei Sun
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Xing Wang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Ming Zhou
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Qiyu Jia
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Kun Song
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Kaijun Niu
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China
- Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China
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26
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Shan L, Shi J, Li J, Pan C, Xia Y, Niu K, Li Z, Bai S. Associations between grain intake and hospitalized nephrolithiasis in Chinese adults: a case-control study. Food Funct 2023; 14:3863-3870. [PMID: 37014124 DOI: 10.1039/d2fo03978h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/05/2023]
Abstract
Introduction: nephrolithiasis is one of the most common urological disorders. Grains are essential staple foods worldwide. This study aimed to investigate the associations between whole grains and refined grains intake, and hospitalized nephrolithiasis in a Chinese population. Methods: the patients and healthy participants were enrolled in the Shenyang sub-cohort of Tianjin Chronic Low-Grade Systemic Inflammation and Health Cohort Study. After selecting and matching by age (±one year) and sex using a 1 : 2 ratio, a total of 666 participants (222 patients and 444 healthy controls) were included. Whole grains and refined grains intake was measured using a validated self-administered food frequency questionnaire. Multivariate conditional logistic regression analysis was used to evaluate the associations between whole grains and refined grains intake with hospitalized nephrolithiasis. Results: after multivariable adjustments, a higher intake of whole grains was inversely associated with hospitalized nephrolithiasis. Compared to participants with the lowest tertile of whole grains intake, the adjusted odds ratio (OR) and 95% confidence interval (CI) of hospitalized nephrolithiasis for participants in the highest tertile was 0.58 (0.26, 0.81) (P for trend = 0.020). In contrast, a higher intake of refined grains was positively associated with nephrolithiasis. Compared to participants with the lowest tertile of refined grains intake, the adjusted OR (95% CI) of hospitalized nephrolithiasis for participants in the highest tertile was 3.75 (1.48, 9.52) (P for trend = 0.006). The results were consistent in both genders. Conclusion: the consumption of whole grains was found to be negatively associated with hospitalized nephrolithiasis, while the consumption of refined grains was positively associated with hospitalized nephrolithiasis. Therefore, a substitution of whole grains for refined grains consumption may assist in hospitalized nephrolithiasis prevention.
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Affiliation(s)
- Liping Shan
- Department of Urology, Shengjing Hospital of China Medical University, 36 Sanhao Street, Shenyang, Liaoning, 110004, P.R. China.
| | - Jianxiu Shi
- Department of Urology, Shengjing Hospital of China Medical University, 36 Sanhao Street, Shenyang, Liaoning, 110004, P.R. China.
- Department of Urology, The First Hospital of China Medical University, Shenyang, China
| | - Jia Li
- Department of Urology, Shengjing Hospital of China Medical University, 36 Sanhao Street, Shenyang, Liaoning, 110004, P.R. China.
| | - Chunyu Pan
- Department of Urology, Shengjing Hospital of China Medical University, 36 Sanhao Street, Shenyang, Liaoning, 110004, P.R. China.
| | - Yang Xia
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
| | - Kaijun Niu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Zhenhua Li
- Department of Urology, Shengjing Hospital of China Medical University, 36 Sanhao Street, Shenyang, Liaoning, 110004, P.R. China.
| | - Song Bai
- Department of Urology, Shengjing Hospital of China Medical University, 36 Sanhao Street, Shenyang, Liaoning, 110004, P.R. China.
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27
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Zhang S, Stubbendorff A, Olsson K, Ericson U, Niu K, Qi L, Borné Y, Sonestedt E. Adherence to the EAT-Lancet diet, genetic susceptibility, and risk of type 2 diabetes in Swedish adults. Metabolism 2023; 141:155401. [PMID: 36682448 DOI: 10.1016/j.metabol.2023.155401] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 01/11/2023] [Accepted: 01/14/2023] [Indexed: 01/21/2023]
Abstract
BACKGROUND AND AIMS In 2019, the EAT-Lancet Commission proposed a mainly plant-based diet that nurtures human health and supports environmental sustainability. However, its association with type 2 diabetes (T2D) has not been widely studied, and it remains unclear whether genetic susceptibility for T2D can modify this association. The aim was therefore to investigate the association between the EAT-Lancet diet and risk of T2D and assess whether the association differs by the genetic predisposition to T2D. METHODS A total of 24,494 participants from the Malmö Diet and Cancer study were analyzed. Dietary intake was assessed using a modified diet history methodology, and an EAT-Lancet diet index (range from 0 to 42 points) was constructed based on the EAT-Lancet reference diet. National and local registers were used to identify T2D cases during follow-up. Cox proportional hazards regression model was applied to estimate the association between the EAT-Lancet diet index and risk of T2D. Genetic predisposition to T2D was captured based on 116 single nucleotide polymorphisms. RESULTS During a median of 24.3 years of follow-up, 4197 (17.1 %) T2D cases were documented. Compared with those with the lowest adherence to the EAT-Lancet diet (≤13 points), participants who had the highest adherence (≥23 points) showed an 18 % (95 % CI: 4 %-30 %) lower risk of T2D (P for trend <0.01). There was no significant multiplicative interaction between genetic predisposition to T2D and the EAT-Lancet diet index (P = 0.59). Also, no significant additive interaction between the genetic risk and the EAT-Lancet diet was seen (P = 0.44). The highest risk was observed among the 22.9 % of the individuals with high genetic risk and low EAT-Lancet diet score (HR = 1.79; 95 % CI: 1.63, 1.96). CONCLUSIONS Our findings indicate that high adherence to the EAT-Lancet diet was associated with decreased risk of incident T2D among people with different genetic risks.
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Affiliation(s)
- Shunming Zhang
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China; Nutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden.
| | - Anna Stubbendorff
- Nutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Kjell Olsson
- Nutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Ulrika Ericson
- Diabetes and Cardiovascular Disease-Genetic Epidemiology, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Kaijun Niu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Yan Borné
- Nutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Emily Sonestedt
- Nutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden.
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28
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Bai S, Zhang Y, Guo C, Liu Y, Zhang Q, Liu L, Sun S, Wang X, Zhou M, Jia Q, Song K, Zhang T, Ding Y, Zhao Y, Niu K, Xia Y. Associations between dietary patterns and nephrolithiasis risk in a large Chinese cohort: is a balanced or plant-based diet better? Food Funct 2023; 14:3220-3229. [PMID: 36920109 DOI: 10.1039/d2fo03993a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/16/2023]
Abstract
Purpose: Individual food items and nutrients are associated with the development of nephrolithiasis. Few studies have investigated the association between dietary patterns, particularly plant-based diets, and this disease. We aim to explore the associations between dietary patterns and incident nephrolithiasis risk. Materials and methods: This prospective cohort study included 26 490 participants. Factor analysis was applied to dietary information to identify three a posteriori dietary patterns, and six a priori plant-based dietary patterns (overall plant-based diet index [PDI], healthful plant-based diet index [hPDI], unhealthful plant-based diet index [uPDI], vegan diet, lacto-ovo-vegetarian diet, and fish-vegetarian diet) were defined. Nephrolithiasis was diagnosed using ultrasonography. Cox proportional hazard regression models were used to assess the hazard ratios (HRs) and 95% confidence intervals (CIs) for incident nephrolithiasis related to dietary patterns. Results: After 101 094 person-years follow-up, we documented 806 incident nephrolithiasis cases. An a posteriori balanced dietary pattern characterized by a higher intake of vegetables, eggs, grains, legumes, legume products, and meat was associated with a lower risk of nephrolithiasis (P for trend = 0.02). Compared to the reference group in the lowest quartile of the balanced pattern, participants in the highest quartile had an adjusted HR (95% CI) of 0.72 (0.53-0.96) for incident nephrolithiasis. Adherence to the uPDI increased the risk of incident nephrolithiasis (P for trend < 0.01; adjusted HR4th quartile vs. 1st quartile, 1.46, 95% CI, 1.14-1.97). No significant association was found between other a posteriori or a priori dietary patterns and incident nephrolithiasis. Conclusions: Adherence to a balanced dietary pattern, but not a plant-based diet, was associated with a lower nephrolithiasis risk. Moreover, higher uPDI consumption increased incident nephrolithiasis risk.
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Affiliation(s)
- Song Bai
- Department of Urology, Shengjing Hospital of China Medical University, China Medical University, Shenyang, China. .,Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, China Medical University, Shenyang, China. .,Key Laboratory of Precision Medical Research on Major Chronic Disease, Shenyang, China
| | - Yixiao Zhang
- Department of Urology, Shengjing Hospital of China Medical University, China Medical University, Shenyang, China. .,Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, China Medical University, Shenyang, China. .,Key Laboratory of Precision Medical Research on Major Chronic Disease, Shenyang, China
| | - Chuanji Guo
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, China Medical University, Shenyang, China.
| | - Yashu Liu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, China Medical University, Shenyang, China. .,Key Laboratory of Precision Medical Research on Major Chronic Disease, Shenyang, China
| | - Qing Zhang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
| | - Li Liu
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
| | - Shaomei Sun
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
| | - Xing Wang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
| | - Ming Zhou
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
| | - Qiyu Jia
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
| | - Kun Song
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
| | - Tingjing Zhang
- School of Public Health, Wannan Medical College, Wuhu, China.
| | - Yang Ding
- Department of Infectious Diseases, Shengjing Hospital of China Medical University, China Medical University, Shenyang, China.
| | - Yuhong Zhao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, China Medical University, Shenyang, China. .,Key Laboratory of Precision Medical Research on Major Chronic Disease, Shenyang, China
| | - Kaijun Niu
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China. .,Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yang Xia
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, China Medical University, Shenyang, China. .,Key Laboratory of Precision Medical Research on Major Chronic Disease, Shenyang, China
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29
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Zhang S, Yan Y, Meng G, Zhang Q, Liu L, Wu H, Gu Y, Wang X, Zhang J, Sun S, Wang X, Zhou M, Jia Q, Song K, Borné Y, Qi L, Chen YM, Niu K. Protein foods from animal sources and risk of nonalcoholic fatty liver disease in representative cohorts from North and South China. J Intern Med 2023; 293:340-353. [PMID: 36433820 DOI: 10.1111/joim.13586] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
BACKGROUND Emerging evidence suggests that animal protein foods may increase the risk of nonalcoholic fatty liver disease (NAFLD). We therefore examined the NAFLD risk reduction related to substituting plant protein foods for animal protein foods. METHODS The cohort in North China included 14,541 participants from the Tianjin Chronic Low-Grade Systemic Inflammation and Health (TCLSIH) study, and the cohort in South China included 1297 participants from the Guangzhou Nutrition and Health Study (GNHS). Dietary intake was assessed using validated food frequency questionnaires. NAFLD was ascertained by abdominal ultrasound. The Cox model was used to fit the substitution analysis. RESULTS In the TCLSIH cohort, when replacing one type of animal protein food (eggs, processed meat, unprocessed red meat, poultry, and fish) with an equivalent serving of plant protein foods (nuts, legumes, and whole grains), the replacement of animal protein foods with whole grains showed the strongest benefit; substituting one serving per day of whole grains for an equal amount of eggs (hazard ratio [HR] = 0.89; 95% confidence interval [CI]: 0.79, 1.00), processed meat (HR = 0.76; 95% CI: 0.64, 0.91), unprocessed red meat (HR = 0.90; 95% CI: 0.81, 1.00), poultry (HR = 0.81; 95% CI: 0.72, 0.92), or fish (HR = 0.87; 95% CI: 0.78, 0.97) was associated with a lower risk of NAFLD. In both the TCLSIH and GNHS cohorts, replacing poultry with fish, nuts, legumes, or whole grains was associated with a lower risk of NAFLD. When different numbers of protein foods were simultaneously replaced, the risk reduction of NAFLD was stronger. CONCLUSIONS Our findings suggest that replacing animal protein foods with plant protein foods is related to a significant reduction in NAFLD risk.
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Affiliation(s)
- Shunming Zhang
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China.,Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.,School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China.,Nutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Yan Yan
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Ge Meng
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China.,Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Qing Zhang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Li Liu
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Hongmei Wu
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China.,Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yeqing Gu
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Xuena Wang
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China.,Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Juanjuan Zhang
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China.,Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Shaomei Sun
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Xing Wang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Ming Zhou
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Qiyu Jia
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Kun Song
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Yan Borné
- Nutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, Louisiana, USA.,Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Yu-Ming Chen
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Kaijun Niu
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China.,Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
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30
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Gu Y, Zhang T, Wang J, Song Y, Meng G, Wu H, Zhang S, Wang X, Zhang J, Lu X, Liu Q, Huang T, Yang J, Niu K. Genetic risk, muscle strength and risk of incident major depressive disorder: results from the UK Biobank. Age Ageing 2023; 52:7066944. [PMID: 36864651 DOI: 10.1093/ageing/afad021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Indexed: 03/04/2023] Open
Abstract
BACKGROUND Genetic factors and muscle strength both contribute to the risk of major depressive disorder (MDD), but whether high muscle strength can offset the risk of MDD with different genetic risk is unknown. This study aims to examine whether a higher muscle strength is associated with lower risk of MDD regardless of genetic risk among middle-aged and older adults. METHODS This cohort study obtained data from the UK Biobank, which includes 345,621 individuals aged 40-69 years (mean (standard deviation): 56.7 (7.99) years) without baseline MDD. Polygenic risk score for MDD was categorised as low, intermediate or high. The mean of the right- and left-hand grip strength values was used in the analysis and was divided into three categories. RESULTS 9,753 individuals developed MDD within 2,752,461 person-years of follow-up. The multivariable adjusted hazard ratios (HRs) (95% confidence intervals (CIs)) of MDD across increased grip strength categories were 1.00, 0.72 (0.68-0.75) and 0.56 (0.53-0.59) (P for trend <0.0001). The HRs (95% CIs) of incident MDD across the genetic risk categories were 1.00, 1.11 (1.05-1.17) and 1.20 (1.13-1.28) (P for trend <0.0001); 4.07% of individuals with a high genetic risk and low grip strength developed MDD, and 1.72% of individuals with a low genetic risk and high grip strength developed MDD, with an HR (95% CI) of 0.44 (0.39-0.50). CONCLUSIONS Both muscle strength and genetic risk were significantly associated with incident MDD. A higher muscle strength was associated with a lower MDD risk among individuals with a high genetic risk. Improving muscle strength should be encouraged for all individuals, including individuals with high genetic risk for MDD.
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Affiliation(s)
- Yeqing Gu
- Department of Radiobiology, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300192, China
| | - Tingjing Zhang
- Department of Nutrition and Food Hygiene, School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China.,Department of Nutrition and Food Hygiene, School of Public Health, Wannan Medical College, Anhui, 241002, China
| | - Jinhan Wang
- Department of Radiobiology, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300192, China
| | - Yanqi Song
- Department of Nutrition and Food Hygiene, School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China
| | - Ge Meng
- Nutritional Epidemiology Institute and Department of Nutrition and Food Hygiene, School of Public Health, Tianjin Medical University, Tianjin, 300070, China
| | - Hongmei Wu
- Department of Nutrition and Food Hygiene, School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China.,Nutritional Epidemiology Institute and Department of Nutrition and Food Hygiene, School of Public Health, Tianjin Medical University, Tianjin, 300070, China
| | - Shunming Zhang
- Department of Nutrition and Food Hygiene, School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China.,Nutritional Epidemiology Institute and Department of Nutrition and Food Hygiene, School of Public Health, Tianjin Medical University, Tianjin, 300070, China
| | - Xuena Wang
- Department of Nutrition and Food Hygiene, School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China.,Nutritional Epidemiology Institute and Department of Nutrition and Food Hygiene, School of Public Health, Tianjin Medical University, Tianjin, 300070, China
| | - Juanjuan Zhang
- Department of Nutrition and Food Hygiene, School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China.,Nutritional Epidemiology Institute and Department of Nutrition and Food Hygiene, School of Public Health, Tianjin Medical University, Tianjin, 300070, China
| | - Xinran Lu
- Department of Radiobiology, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300192, China
| | - Qiang Liu
- Department of Radiobiology, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300192, China
| | - Tao Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, 100817, China
| | - Jian Yang
- Statistical Genetics Laboratory, School of Life Sciences, Westlake University, Hangzhou, 310024, China.,Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, 310024, China
| | - Kaijun Niu
- Department of Radiobiology, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300192, China.,Department of Nutrition and Food Hygiene, School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China.,Nutritional Epidemiology Institute and Department of Nutrition and Food Hygiene, School of Public Health, Tianjin Medical University, Tianjin, 300070, China.,Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, 300070, China.,Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China
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Wan M, Wu H, Wang X, Gu Y, Meng G, Zhang Q, Liu L, Zhang J, Sun S, Jia Q, Song K, Gao W, Yao Z, Niu K, Guo C. There is a significantly inverse relationship between dietary riboflavin intake and prevalence of osteoporosis in women but not in men: Results from the TCLSIH cohort study. Front Nutr 2023; 10:1112028. [PMID: 36824170 PMCID: PMC9941537 DOI: 10.3389/fnut.2023.1112028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Accepted: 01/23/2023] [Indexed: 02/10/2023] Open
Abstract
Background Epidemiological evidence for the relationship between riboflavin intake and bone health is inconsistent, and this relationship has not been examined in Chinese population. This study aimed to investigate the relationship between dietary intake of riboflavin and prevalence of osteoporosis in a Chinese adult population. Methods A total of 5,607 participants (mean age, 61.2 years; males, 34.4%) were included in this cross-sectional study. We calculated the riboflavin intake by using the food frequency questionnaire (FFQ) in combination with Chinese food composition database. Bone mineral density (BMD) was detected by an ultrasound bone densitometer. Multivariable logistic regression models were used to evaluate the relationship between dietary riboflavin intake and prevalence of osteoporosis. Results In this population, the dietary intake of riboflavin ranged from 0.13 to 1.99 mg/d, and the proportion of abnormal BMD was 36.6%. The prevalence of osteoporosis decreased gradually with increasing quartiles of riboflavin intake, before and after adjustment for a range of confounding factors. In the final model, the multivariate-adjusted ORs (95% CI) across the quartiles of riboflavin intake were 1.00 (reference), 0.84 (0.54, 1.31), 0.59 (0.34, 1.04), and 0.47 (0.22, 0.96), respectively (P for trend < 0.05). In sex-disaggregated analysis, similar results to the total population were observed in women, while no significant results were found in men. Conclusion The dietary riboflavin intake was negatively associated with the prevalence of osteoporosis. However, the association was significant in women but not in men. Our findings indicated that women are more sensitive to riboflavin intake in maintaining a normal BMD.
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Affiliation(s)
- Min Wan
- Tianjin Institute of Environmental and Operational Medicine, Tianjin, China
| | - Hongmei Wu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xuena Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yeqing Gu
- Nutrition and Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Ge Meng
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Qing Zhang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Li Liu
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Juanjuan Zhang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Shaomei Sun
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Qiyu Jia
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Kun Song
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Weina Gao
- Tianjin Institute of Environmental and Operational Medicine, Tianjin, China
| | - Zhanxin Yao
- Tianjin Institute of Environmental and Operational Medicine, Tianjin, China,*Correspondence: Zhanxin Yao,
| | - Kaijun Niu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China,Nutrition and Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China,Kaijun Niu,
| | - Changjiang Guo
- Tianjin Institute of Environmental and Operational Medicine, Tianjin, China,Changjiang Guo,
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32
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Zhang S, Li H, Engström G, Niu K, Qi L, Borné Y, Sonestedt E. Milk intake, lactase persistence genotype, plasma proteins and risks of cardiovascular events in the Swedish general population. Eur J Epidemiol 2023; 38:211-224. [PMID: 36604367 PMCID: PMC9905175 DOI: 10.1007/s10654-022-00937-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2022] [Accepted: 10/16/2022] [Indexed: 01/07/2023]
Abstract
To investigate the associations of milk intake (non-fermented and fermented milk), lactase persistence (LCT-13910 C/T) genotype (a proxy for long-term non-fermented milk intake), and gene-milk interaction with risks of cardiovascular disease (CVD) and CVD mortality. Also, to identify the CVD-related plasma proteins and lipoprotein subfractions associated with milk intake and LCT-13910 C/T genotype. The prospective cohort study included 20,499 participants who were followed up for a mean of 21 years. Dietary intake was assessed using a modified diet history method. Cox proportional hazards regression models were used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs). After adjusting for sociodemographic and lifestyle factors, higher non-fermented milk intake was significantly associated with higher risks of coronary heart disease (CHD) and CVD mortality, whereas higher fermented milk intake was significantly associated with lower risks of CVD and CVD mortality. The genotype associated with higher milk (mainly non-fermented) intake was positively associated with CHD (CT/TT vs. CC HR = 1.27; 95% CI: 1.03, 1.55) and CVD (HR = 1.22; 95% CI: 1.05, 1.42). The association between rs4988235 genotype and CVD mortality was stronger in participants with higher milk intake than among participants with lower intake (P for interaction < 0.05). Furthermore, leptin, HDL, and large HDL were associated with non-fermented milk intake, while no plasma proteins or lipoprotein subfractions associated with fermented milk intake and LCT-13910 C/T genotype were identified. In conclusion, non-fermented milk intake was associated with higher risks of CHD and CVD mortality, as well as leptin and HDL, whereas fermented milk intake was associated with lower risks of CVD and CVD mortality.
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Affiliation(s)
- Shunming Zhang
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China.
- Nutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Jan Waldenströms Gata 35, 21428, Malmö, Sweden.
| | - Huiping Li
- Nutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Jan Waldenströms Gata 35, 21428, Malmö, Sweden
- Nutritional Epidemiology Institute, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Gunnar Engström
- Cardiovascular Epidemiology, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Kaijun Niu
- Nutritional Epidemiology Institute, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Yan Borné
- Nutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Jan Waldenströms Gata 35, 21428, Malmö, Sweden
| | - Emily Sonestedt
- Nutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Jan Waldenströms Gata 35, 21428, Malmö, Sweden
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33
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Gu Y, Li H, Ma H, Zhang S, Meng G, Zhang Q, Liu L, Wu H, Zhang T, Wang X, Zhang J, Sun S, Wang X, Zhou M, Jia Q, Song K, Liu Q, Huang T, Borné Y, Wang Y, Qi L, Niu K. Consumption of ultraprocessed food and development of chronic kidney disease: the Tianjin Chronic Low-Grade Systemic Inflammation and Health and UK Biobank Cohort Studies. Am J Clin Nutr 2023; 117:373-382. [PMID: 36811571 DOI: 10.1016/j.ajcnut.2022.11.005] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 10/25/2022] [Accepted: 11/07/2022] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Many ultraprocessed food (UPF)-derived by-products may play a role in the development of chronic kidney disease (CKD). Although several studies have assessed the association of UPFs with kidney function decline or CKD in various countries, no evidence has been shown in China and the United Kingdom. OBJECTIVES This study aims to evaluate the association between UPF consumption and risk of CKD in 2 large cohort studies from China and the United Kingdom. METHODS In total, 23,775 and 102,332 participants without baseline CKD were enrolled in the Tianjin Chronic Low-Grade Systemic Inflammation and Health (TCLSIH) and UK Biobank cohort studies, respectively. Information on UPF consumption was obtained from a validated food frequency questionnaire in the TCLSIH and 24-h dietary recalls in the UK Biobank cohort. CKD was defined as an estimated glomerular filtration rate of <60 mL/min/1.73 m2, albumin-to-creatinine ratio ≥30 mg/g, or as having a clinical diagnosis of CKD in both cohorts. Multivariable Cox proportional hazard models were used to examine the association between UPF consumption and the risk of CKD. RESULTS After a median follow-up of 4.0 and 10.1 y, the incidence rates of CKD were around 1.1% and 1.7% in the TCLSIH and UK Biobank cohorts, respectively. The multivariable hazard ratio [95% confidence interval] of CKD across increasing quartiles (quartiles 1-4) of UPF consumption were 1 (reference), 1.24 (0.89, 1.72), 1.30 (0.91, 1.87), and 1.58 (1.07, 2.34) (P for trend = 0.02) in the TCLSIH cohort and 1 (reference), 1.14 (1.00, 1.31), 1.16 (1.01, 1.33), and 1.25 (1.09, 1.43) (P for trend < 0.01) in the UK Biobank cohort, respectively. CONCLUSIONS Our finding indicated that higher UPF consumption is associated with a higher risk of CKD. Moreover, restricting UPF consumption may potentially benefit the prevention of CKD. Further clinical trials are required to clarify the causality. This trial was registered at UMIN Clinical Trials Registry as UMIN000027174 (https://upload.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000031137).
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Affiliation(s)
- Yeqing Gu
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
| | - Huiping Li
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Hao Ma
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Shunming Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China; School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Ge Meng
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Qing Zhang
- Health Management Center, Tianjin Medical University General Hospital, Tianjin, China
| | - Li Liu
- Health Management Center, Tianjin Medical University General Hospital, Tianjin, China
| | - Hongmei Wu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Tingjing Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xuena Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Juanjuan Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Shaomei Sun
- Health Management Center, Tianjin Medical University General Hospital, Tianjin, China
| | - Xing Wang
- Health Management Center, Tianjin Medical University General Hospital, Tianjin, China
| | - Ming Zhou
- Health Management Center, Tianjin Medical University General Hospital, Tianjin, China
| | - Qiyu Jia
- Health Management Center, Tianjin Medical University General Hospital, Tianjin, China
| | - Kun Song
- Health Management Center, Tianjin Medical University General Hospital, Tianjin, China
| | - Qiang Liu
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
| | - Tao Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Yan Borné
- Department of Clinical Sciences in Malmö, Lund University, Malmö, Sweden
| | - Yaogang Wang
- School of Public Health, Tianjin Medical University, Tianjin, China; School of Integrative Medicine, Public Health Science and Engineering College, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Kaijun Niu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China; School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China; Health Management Center, Tianjin Medical University General Hospital, Tianjin, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China.
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34
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Wu H, Quan J, Wang X, Gu Y, Zhang S, Meng G, Zhang Q, Liu L, Wang X, Sun S, Jia Q, Song K, Huang J, Huo J, Zhang B, Ding G, Niu K. Soy Food Consumption Is Inversely Associated with Handgrip Strength: Results from the TCLSIH Cohort Study. Nutrients 2023; 15:nu15020391. [PMID: 36678260 PMCID: PMC9866643 DOI: 10.3390/nu15020391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 12/24/2022] [Accepted: 01/07/2023] [Indexed: 01/13/2023] Open
Abstract
Background: Soy foods contain high levels of soy protein or isoflavones, which can stimulate muscle protein synthesis and increase antioxidant capacity, and thus ameliorate muscle strength decline. However, data from epidemiological studies investigating the association of habitual soy food consumption with muscle strength decline among general Chinese adults are limited. Methods: This study included 29,525 participants (mean age: 41.6 years; 16,933 (53.8%) males). Soy food consumption was evaluated using a validated 100-item food frequency questionnaire. Handgrip strength (HGS) was assessed with a hand dynamometer. Analysis of covariance were performed to assess the multivariable-adjusted least square means (LSM) and 95% confidence interval (CI) for HGS. Results: The multiple adjusted LSM (95% CI) of HGS across soy food consumption were 35.5 (34.2, 37.1) kg for <1 time per week, 36.1 (34.6, 37.6) kg for 1 time per week, 36.3 (34.8, 37.8) kg for 2−3 times per week, and 36.6 (35.1, 38.0) kg for ≥4 times per week (p for trend < 0.001). Compared to participants with soy food consumption less than one time per week, the multiple adjusted odds ratio (95% CI) of low HGS was 0.638 (0.485, 0.836) when the weekly consumption was ≥ 4 times (p for trend < 0.01). Conclusions: Higher habitual soy food consumption was positively associated with HGS in general Chinese adults. Consumption of soy foods may have beneficial effects on muscle health.
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Affiliation(s)
- Hongmei Wu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin 300070, China
- School of Public Health, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin 300070, China
- Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China
| | - Jing Quan
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin 300070, China
- School of Public Health, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
| | - Xuena Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin 300070, China
- School of Public Health, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
| | - Yeqing Gu
- Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300192, China
| | - Shunming Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin 300070, China
- School of Public Health, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
| | - Ge Meng
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin 300070, China
- School of Public Health, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin 300070, China
- Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Qing Zhang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Li Liu
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Xing Wang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Shaomei Sun
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Qiyu Jia
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Kun Song
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Jian Huang
- Chinese Center for Disease Control and Prevention National Institute for Nutrition and Health, Beijing 100050, China
| | - Junsheng Huo
- Chinese Center for Disease Control and Prevention National Institute for Nutrition and Health, Beijing 100050, China
| | - Bing Zhang
- Chinese Center for Disease Control and Prevention National Institute for Nutrition and Health, Beijing 100050, China
| | - Gangqiang Ding
- Chinese Center for Disease Control and Prevention National Institute for Nutrition and Health, Beijing 100050, China
| | - Kaijun Niu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin 300070, China
- School of Public Health, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin 300070, China
- Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China
- Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300192, China
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin 300052, China
- Correspondence:
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35
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Yang H, Gu Y, Zhang B, Meng G, Zhang Q, Liu L, Wu H, Zhang S, Zhang T, Wang X, Zhang J, Sun S, Wang X, Zhou M, Jia Q, Song K, Wang Y, Huang T, Niu K. The longitudinal association between onion consumption and risk of depressive symptoms: results from the TCLSIH Cohort study and the UK Biobank. Food Funct 2023; 14:195-205. [PMID: 36477763 DOI: 10.1039/d2fo01640k] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Background and aims: Onions have shown antidepressant effects but relevant evidence from people was limited. Thus, we aimed to explore the prospective association between onion consumption and risk of depressive symptoms in the general population. Methods: We used data from 2 cohorts: the Tianjin Chronic Low-grade Systemic Inflammation and Health (TCLSIH) cohort included 7739 participants (males, 57.6%) with a mean age of 39.5 years, and the UK Biobank included 169 806 individuals (males, 45.2%) with a mean age of 55.7 years. In the TCLSIH cohort, onion consumption was assessed by a validated food frequency questionnaire from May 2013; depressive symptoms were evaluated by the Chinese version of the Self-Rating Depression Scale (SDS scores ≥ 45) and were assessed up to 2018. In the UK Biobank, onion consumption was measured by 1-5 times validated 24-hour dietary recalls in 2006-2010; depressive symptoms were determined through the linked hospital records and death registries and were assessed up to 2018. Multivariable Cox proportional hazards models were employed to determine the association between onion consumption and risk of depressive symptoms. Results: A total of 1098 and 1924 cases of depressive symptoms were identified during 15 004 person-years and 1 243 832 person-years of follow-up in the TCLSIH cohort and the UK Biobank, respectively. After adjusting for many confounding factors, the fully adjusted HRs (95% CI) of depressive symptoms comparing the higher levels to the lowest level of onion consumption were 0.78 (0.65, 0.94), 0.73 (0.61, 0.87), and 0.77 (0.64, 0.92) in the TCLSIH cohort (p for trend = 0.01); and were 0.79 (0.68, 0.93), 0.81 (0.69, 0.94), and 0.97 (0.85, 1.12) in the UK Biobank (p for trend = 0.07). Similar associations were observed in the sensitivity analyses. Conclusion: Our results indicated that habitual onion consumption was associated with a lower risk of depressive symptoms in two cohorts. However, this association was not statistically significant in the highest level of onion consumption in the UK Biobank.
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Affiliation(s)
- Honghao Yang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.,School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
| | - Yeqing Gu
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Bei Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.,School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
| | - Ge Meng
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.,Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Qing Zhang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Li Liu
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Hongmei Wu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.,School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
| | - Shunming Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.,School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
| | - Tingjing Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.,School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
| | - Xuena Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.,School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
| | - Juanjuan Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.,School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
| | - Shaomei Sun
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Xing Wang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Ming Zhou
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Qiyu Jia
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Kun Song
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Yaogang Wang
- School of Public Health, Tianjin Medical University, Tianjin, China. .,School of Integrative Medicine, Public Health Science and Engineering College, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Tao Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China.
| | - Kaijun Niu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.,School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China. .,Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.,Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China.,Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China.,Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China
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36
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Zhang J, Hai X, Wang S, Zhu F, Gu Y, Meng G, Zhang Q, Liu L, Wu H, Zhang S, Zhang T, Wang X, Sun S, Zhou M, Jia Q, Song K, Niu K. Helicobacter pylori infection increase the risk of subclinical hyperthyroidism in middle-aged and elderly women independent of dietary factors: Results from the Tianjin chronic low-grade systemic inflammation and health cohort study in China. Front Nutr 2023; 10:1002359. [PMID: 36950328 PMCID: PMC10025335 DOI: 10.3389/fnut.2023.1002359] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2022] [Accepted: 02/06/2023] [Indexed: 03/08/2023] Open
Abstract
Background Prospective studies on the association between Helicobacter pylori (H. pylori) infection and subclinical hyperthyroidism are limited. We, therefore, designed a large-scale cohort study to explore the association between H. pylori infection and the risk of subclinical hyperthyroidism in women. Methods This prospective cohort study investigated 2,713 participants. H. pylori infection was diagnosed with the carbon 13 breath test. Subclinical hyperthyroidism was defined as serum thyroid-stimulating hormone levels are low or undetectable but free thyroxine and tri-iodothyronine concentrations are normal. Propensity score matching (PSM) analyses and Cox proportional hazards regression models were used to estimate the association between H. pylori infection and subclinical hyperthyroidism. Results A total of 1,025 PS-matched pairs of H. pylori infection women were generated after PSM. During 6 years of follow-up, the incidence rate of subclinical hyperthyroidism was 7.35/1,000 person-years. After adjusting potential confounding factors (including iodine intake in food and three main dietary patterns score), the multivariable hazard ratio (HR; 95% confidence intervals) of subclinical hyperthyroidism by H. pylori infection was 2.49 (1.36, 4.56). Stratified analyses suggested a potential effect modification by age, the multivariable HR (95% confidence intervals) was 2.85 (1.45, 5.61) in participants aged ≥ 40 years and 0.70 (0.08, 6.00) in participants aged < 40 years (P for interaction = 0.048). Conclusion Our prospective study first indicates that H. pylori infection is significantly associated with the risk of subclinical hyperthyroidism independent of dietary factors among Chinese women, especially in middle-aged and older individuals.Clinical Trial Registration:https://upload.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000031137, identifier UMIN000027174.
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Affiliation(s)
- Juanjuan Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xinghua Hai
- First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Siyu Wang
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Fan Zhu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yeqing Gu
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- *Correspondence: Yeqing Gu,
| | - Ge Meng
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Qing Zhang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Li Liu
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Hongmei Wu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Shunming Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Tingjing Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xing Wang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Shaomei Sun
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Ming Zhou
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Qiyu Jia
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Kun Song
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Kaijun Niu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China
- Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China
- Kaijun Niu,
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Wu H, Gu Y, Meng G, Zhang Q, Liu L, Wu H, Zhang S, Wang X, Zhang J, Sun S, Wang X, Zhou M, Jia Q, Song K, Chang H, Niu K. Association between the intake of animal offal and depressive symptoms: the TCLSIH Cohort Study. Food Funct 2023; 14:3722-3731. [PMID: 36987573 DOI: 10.1039/d2fo03311a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/11/2023]
Abstract
Background: Prospective cohort studies linking animal offal intake and depressive symptoms are limited. This study aimed to prospectively investigate the association between animal offal consumption and the risk of depressive...
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Affiliation(s)
- Hanzhang Wu
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
| | - Yeqing Gu
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
| | - Ge Meng
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Qing Zhang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Li Liu
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Hongmei Wu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
| | - Shunming Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
| | - Xuena Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
| | - Juanjuan Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
| | - Shaomei Sun
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Xing Wang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Ming Zhou
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Qiyu Jia
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Kun Song
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Hong Chang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
| | - Kaijun Niu
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China
- Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China
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38
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Zhang J, Rayamajhi S, Thapa A, Meng G, Zhang Q, Liu L, Wu H, Gu Y, Zhang S, Zhang T, Wang X, Cao Z, Dong J, Zheng X, Zhang X, Dong X, Wang X, Sun S, Zhou M, Jia Q, Song K, Niu K. Edible mushrooms as a potent therapeutics of subclinical thyroid dysfunction among adults, especially in obese individuals: a prospective cohort study. Food Science and Human Wellness 2023. [DOI: 10.1016/j.fshw.2022.07.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/15/2022]
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39
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Wang Y, Gu Y, Huang J, Wu H, Meng G, Zhang Q, Liu L, Zhang S, Wang X, Zhang J, Sun S, Wang X, Zhou M, Jia Q, Song K, Huo J, Zhang B, Ding G, Du P, Niu K. Serum vitamin D status and circulating irisin levels in older adults with sarcopenia. Front Nutr 2022; 9:1051870. [PMID: 36570156 PMCID: PMC9768190 DOI: 10.3389/fnut.2022.1051870] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Accepted: 11/18/2022] [Indexed: 12/12/2022] Open
Abstract
Background Emerging evidence suggests sarcopenia, which is involved in the serum vitamin D deficiency and development of abnormal muscle metabolism, is predominately centered in the general older population. In the present study, we aimed to explore the relationship between the level of serum vitamin D and irisin concentrations in the older adults with sarcopenia. Methods A cross-sectional study was conducted which included 422 sarcopenia participants (146 males and 276 females). Sarcopenia was assessed according to the recommended diagnostic criteria of the Asia Working Group for Sarcopenia (AWGS). The levels of serum 25-hydroxyvitamin D (25(OH)D), 25-hydroxyvitamin D2 (25(OH)D2) and 25-hydroxyvitamin D3 (25(OH)D3) were determined by LC-MS/MS. Irisin levels were measured by enzyme-linked immunosorbent assay (ELISA). The relationship between serum concentration of vitamin D and irisin were determined using multiple linear regression analysis. Results After adjustment for potential confounding factors, a significant and positive relationship between changes in irisin across 25(OH)D, and 25(OH)D3 was observed (standard regression coefficients of 0.150 and 0.151, respectively, P < 0.05). However, no significant relationship was observed between serum vitamin D concentrations and irisin levels in males. Conclusions This study demonstrated that a higher level of serum vitamin D is independently related to the increment of irisin in sarcopenia females, not in males. These investigations need to be verified in other large-scale prospective studies.
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Affiliation(s)
- Yawen Wang
- Air Force Medical Center of PLA, Beijing, China,School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Yeqing Gu
- Nutrition and Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Jian Huang
- Chinese Center for Disease Control and Prevention National Institute for Nutrition and Health, Beijing, China
| | - Hongmei Wu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Ge Meng
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China,Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Qing Zhang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Li Liu
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Shunming Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xuena Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Juanjuan Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Shaomei Sun
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Xing Wang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Ming Zhou
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Qiyu Jia
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Kun Song
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Junsheng Huo
- Chinese Center for Disease Control and Prevention National Institute for Nutrition and Health, Beijing, China
| | - Bing Zhang
- Chinese Center for Disease Control and Prevention National Institute for Nutrition and Health, Beijing, China
| | - Gangqiang Ding
- Chinese Center for Disease Control and Prevention National Institute for Nutrition and Health, Beijing, China
| | - Peng Du
- Air Force Medical Center of PLA, Beijing, China,Peng Du
| | - Kaijun Niu
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China,Nutrition and Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China,Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China,Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China,Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China,Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China,*Correspondence: Kaijun Niu
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40
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Zhai D, Bing J, Shan X, Luo H, Wen W, Gao S, Niu K, Cui T, Li H, Retnakaran R, Hao W, Zhang R, Zhao Y, Wen SW. Higher central set point of thyroid homeostasis in drug-naïve patients affected by first episode schizophrenia. Schizophr Res 2022; 250:62-66. [PMID: 36368279 DOI: 10.1016/j.schres.2022.10.022] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 09/15/2022] [Accepted: 10/30/2022] [Indexed: 11/09/2022]
Abstract
AIM To assess central set point of thyroid homeostasis in drug-naïve patients affected by first episode schizophrenia. METHODS This cross-sectional study was conducted in Xinxiang city, Henan, China. Patients were drug-naïve patients affected by first episode schizophrenia, aged 14-50 years old and admitted to the "Second Affiliated Hospital of Xinxiang Medical University" from January 2018 to December 2018. Controls were healthy individuals who underwent annual health from Xinxiang city, a community population of the same age and time period. The parameters of "central set point of thyroid homeostasis" were measured by "thyroid-stimulating hormone (TSH) index" and "thyroid feedback quantile-based index". The parameters were compared between schizophrenia patients and controls. Linear regression models adjusted by age and sex were used to assess the association of schizophrenia with the parameters. RESULTS A total of 235 patients and 121 controls were included in this study. Patients affected by schizophrenia had significantly higher prevalence of hyperthyroxinemia and levels of free T4, "TSH index", and "thyroid feedback quantile-based index" than controls. After adjusting age and sex, schizophrenia was independently associated with the higher level of "TSH index" (adjusted β 0.33, 95 % confidence interval 0.17, 0.49) and "thyroid feedback quantile-based index" (adjusted β 0.21, 95 % confidence interval 0.12, 0.30). The results with age and sex matched patients and controls were similar to those observed in the overall study population. CONCLUSION Higher central set point may be the underlying mechanism of thyroid allostatic load in drug-naïve patients affected first episode schizophrenia.
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Affiliation(s)
- Desheng Zhai
- The Second Affiliated Hospital of Xinxiang Medical University (Henan Mental Hospital), Xinxiang 453002, China; School of Public Health, Xinxiang Medical University, Xinxiang 453003, China.
| | - Jialuo Bing
- School of Public Health, Xinxiang Medical University, Xinxiang 453003, China
| | - Xuchang Shan
- School of Public Health, Xinxiang Medical University, Xinxiang 453003, China
| | - Hu Luo
- The Second Affiliated Hospital of Xinxiang Medical University (Henan Mental Hospital), Xinxiang 453002, China
| | - Wendy Wen
- McLaughlin Centre for Population Health Risk Assessment, University of Ottawa Faculty of Medicine, Ottawa, Ontario, Canada
| | - Songyin Gao
- Zhumadian Mental Health Center, Zhumadian 463000, China
| | - Kaijun Niu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Taizhen Cui
- School of Pharmacy, Xinxiang Medical University, Xinxiang 453003, China; Xinxiang Key Laboratory of Clinical Psychopharmacology, Xinxiang Medical University, Xinxiang 453003, China
| | - Hongbin Li
- School of Public Health, Xinxiang Medical University, Xinxiang 453003, China
| | - Ravi Retnakaran
- Division of Endocrinology and Metabolism, University of Toronto, Toronto, Canada; Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Canada
| | - Wei Hao
- The Second Affiliated Hospital of Xinxiang Medical University (Henan Mental Hospital), Xinxiang 453002, China
| | - Ruiling Zhang
- The Second Affiliated Hospital of Xinxiang Medical University (Henan Mental Hospital), Xinxiang 453002, China.
| | - Ying Zhao
- School of Pharmacy, Xinxiang Medical University, Xinxiang 453003, China; Xinxiang Key Laboratory of Clinical Psychopharmacology, Xinxiang Medical University, Xinxiang 453003, China; Henan International Joint Laboratory of non-Invasive Neuro-modulation, Xinxiang Medical University, Xinxiang 453003, China.
| | - Shi Wu Wen
- OMNI Research Group, Ottawa Hospital Research Institute, Clinical Epidemiology Program, Ottawa, Canada; School of Epidemiology and Public Health, University of Ottawa Faculty of Medicine, Ottawa, Canada; Department of Obstetrics and Gynecology, University of Ottawa Faculty of Medicine, Ottawa, Canada
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41
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Vu TQC, Tran QK, Niu K. Association between serum 25 (OH) D levels and depression symptoms in adults with prediabetes. Diabetes Metab Syndr 2022; 16:102642. [PMID: 36279702 DOI: 10.1016/j.dsx.2022.102642] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Revised: 10/05/2022] [Accepted: 10/10/2022] [Indexed: 11/06/2022]
Abstract
BACKGROUND AND AIM Depression symptoms are a significant risk factor for prediabetes-related diabetes, and low vitamin D levels are connected with depression symptoms. The goal of this study is to examine the association between vitamin D and depression symptoms in prediabetic persons. METHODS This cross-sectional survey was conducted in Tianjin, China, among 4051 individuals. Symptoms of depression were assessed using the Self-Rating Depression Scale (SDS) (cut-off point SDS ≥45). Serum 25 (OH) D concentrations were determined using an enzyme immunoassay (OCTEIA 25-hydroxy Vitamin D, IDS Ltd, UK) and classified into three levels: 50 nmol/L, 50-75 nmol/L, and >75 nmol/L. The link between serum 25 (OH) D concentrations and depression symptoms in prediabetes was investigated using multiple logistic regression analysis. The models were adjusted for a variety of potential confounders. RESULTS The prevalence of symptoms of depression in prediabetic adults was 14.2% (12.5% males and 16.4% females). After adjusting for potentially confounding variables, the odds ratios - ORs for symptoms of depression in women across serum 25 (OH) D levels were 1.00 (reference), 1.03 (0.57, 1.39), and 0.28 (0.12, 0.57), respectively (p = 0.0015). However, no statistically significant connection was discovered in males. CONCLUSION In women with prediabetes, we showed a substantial negative connection between serum 25 (OH) D levels and depressed symptoms. Vitamin D supplementation may be an effective way to decrease the risk of depression symptoms in women with prediabetes.
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Affiliation(s)
- Thi Quynh Chi Vu
- Nutrition Department, Dong A University, 33 Xo Viet Nghe Tinh, Hai Chau District, Danang, 550000, Viet Nam; Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, 300070, China.
| | - Quoc Kham Tran
- Administration of Science Technology and Training, Vietnam Ministry of Health, Hanoi 15000, Viet Nam
| | - Kaijun Niu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, 300070, China
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Liu Y, Bi S, Li H, Shi J, Xia Y, Niu K, Bai S. Association between tea intake and hospitalized nephrolithiasis in Chinese adults: A case–control study. Front Nutr 2022; 9:1014491. [PMID: 36245504 PMCID: PMC9554430 DOI: 10.3389/fnut.2022.1014491] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Accepted: 09/05/2022] [Indexed: 11/13/2022] Open
Abstract
Introduction and aim Nephrolithiasis is one of the most common urological disorders worldwide. Tea is one of the most popular drinks worldwide. This study aimed to explore the association between tea intake and hospitalized nephrolithiasis in Chinese adults. Methods The patients and healthy participants were from the Shenyang sub-cohort of Tianjin Chronic Low-Grade Systemic Inflammation and Health Cohort Study. After selecting and matching by age (±1 year) and sex using the 1:2 ratio, 834 participants were included in this study. Of these, 278 patients had hospitalized nephrolithiasis and 556 were healthy controls. The tea intake was assessed using a validated self-administered food frequency questionnaire. Multivariate conditional logistic regression analysis was used to evaluate the association between tea intake and hospitalized nephrolithiasis. Results After adjustment, a higher frequency of tea intake was found to be negatively associated with the risk of hospitalized nephrolithiasis. Compared with participants who never drank tea, the odds ratio (95% confidence interval) [OR (95% CI)] for participants who drank ≥1 cup (180 mL) of tea per day was 0.418 (0.192–0.911) (P for trend = 0.013). Moreover, the adjusted OR (95% CI) for participants who drank ≥1 cup of green tea and black tea per day was 0.189 (0.069–0.520) (P for trend <0.001) and 1.248 (0.437–3.559) (P for trend = 0.654), respectively. Conclusions Increased tea intake was found to be associated with a lower risk of hospitalized nephrolithiasis among Chinese adults. This finding may assist in the prevention of hospitalized nephrolithiasis.
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Affiliation(s)
- Yingyu Liu
- Department of General Surgery, Shengjing Hospital of China Medical University, Shenyang, China
| | - Shiyuan Bi
- Department of General Surgery, Shengjing Hospital of China Medical University, Shenyang, China
| | - Hexiao Li
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Jianxiu Shi
- Department of Urology, The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Yang Xia
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Kaijun Niu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Song Bai
- Department of Urology, Shengjing Hospital of China Medical University, Shenyang, China
- *Correspondence: Song Bai,
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Zhang S, Li H, Meng G, Zhang Q, Liu L, Wu H, Gu Y, Zhang T, Wang X, Zhang J, Dong J, Zheng X, Cao Z, Zhang X, Dong X, Sun S, Wang X, Zhou M, Jia Q, Song K, Borné Y, Sonestedt E, Qi L, Niu K. Added sugar intake and its forms and sources in relation to risk of non-alcoholic fatty liver disease: results from the Tianjin Chronic Low-grade Systemic Inflammation and Health cohort study. Br J Nutr 2022:1-8. [PMID: 36156191 DOI: 10.1017/s000711452200277x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
It has been suggested that added sugar intake is associated with non-alcoholic fatty liver disease (NAFLD). However, previous studies only focused on sugar-sweetened beverages; the evidence for associations with total added sugars and their sources is scarce. This study aimed to examine the associations of total added sugars, their physical forms (liquid v. solid) and food sources with risk of NAFLD among adults in Tianjin, China. We used data from 15 538 participants, free of NAFLD, other liver diseases, CVD, cancer or diabetes at baseline (2013-2018 years). Added sugar intake was estimated from a validated 100-item FFQ. NAFLD was diagnosed by ultrasonography after exclusion of other causes of liver diseases. Multivariable Cox proportional hazards models were fitted to calculate hazard ratios (HR) and corresponding 95 % CI for NAFLD risk with added sugar intake. During a median follow-up of 4·2 years, 3476 incident NAFLD cases were documented. After adjusting for age, sex, BMI and its change from baseline to follow-up, lifestyle factors, personal and family medical history and overall diet quality, the multivariable HR of NAFLD risk were 1·18 (95 % CI 1·06, 1·32) for total added sugars, 1·20 (95 % CI 1·08, 1·33) for liquid added sugars and 0·96 (95 % CI 0·86, 1·07) for solid added sugars when comparing the highest quartiles of intake with the lowest quartiles of intake. In this prospective cohort of Chinese adults, higher intakes of total added sugars and liquid added sugars, but not solid added sugars, were associated with a higher risk of NAFLD.
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Affiliation(s)
- Shunming Zhang
- Nutrition and Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People's Republic of China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, People's Republic of China
- Nutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Huiping Li
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, People's Republic of China
| | - Ge Meng
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, People's Republic of China
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin, People's Republic of China
| | - Qing Zhang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, People's Republic of China
| | - Li Liu
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, People's Republic of China
| | - Hongmei Wu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, People's Republic of China
| | - Yeqing Gu
- Nutrition and Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People's Republic of China
| | - Tingjing Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, People's Republic of China
| | - Xuena Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, People's Republic of China
| | - Juanjuan Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, People's Republic of China
| | - Jun Dong
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, People's Republic of China
| | - Xiaoxi Zheng
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, People's Republic of China
| | - Zhixia Cao
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, People's Republic of China
| | - Xu Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, People's Republic of China
| | - Xinrong Dong
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, People's Republic of China
| | - Shaomei Sun
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, People's Republic of China
| | - Xing Wang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, People's Republic of China
| | - Ming Zhou
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, People's Republic of China
| | - Qiyu Jia
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, People's Republic of China
| | - Kun Song
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, People's Republic of China
| | | | - Yan Borné
- Nutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Emily Sonestedt
- Nutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Kaijun Niu
- Nutrition and Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People's Republic of China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, People's Republic of China
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, People's Republic of China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, People's Republic of China
- Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, People's Republic of China
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Xu S, Coleman RL, Wan Q, Gu Y, Meng G, Song K, Shi Z, Xie Q, Tuomilehto J, Holman RR, Niu K, Tong N. Risk prediction models for incident type 2 diabetes in Chinese people with intermediate hyperglycemia: a systematic literature review and external validation study. Cardiovasc Diabetol 2022; 21:182. [PMID: 36100925 PMCID: PMC9472437 DOI: 10.1186/s12933-022-01622-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Accepted: 09/07/2022] [Indexed: 11/23/2022] Open
Abstract
Background People with intermediate hyperglycemia (IH), including impaired fasting glucose and/or impaired glucose tolerance, are at higher risk of developing type 2 diabetes (T2D) than those with normoglycemia. We aimed to evaluate the performance of published T2D risk prediction models in Chinese people with IH to inform them about the choice of primary diabetes prevention measures. Methods A systematic literature search was conducted to identify Asian-derived T2D risk prediction models, which were eligible if they were built on a prospective cohort of Asian adults without diabetes at baseline and utilized routinely-available variables to predict future risk of T2D. These Asian-derived and five prespecified non-Asian derived T2D risk prediction models were divided into BASIC (clinical variables only) and EXTENDED (plus laboratory variables) versions, with validation performed on them in three prospective Chinese IH cohorts: ACE (n = 3241), Luzhou (n = 1333), and TCLSIH (n = 1702). Model performance was assessed in terms of discrimination (C-statistic) and calibration (Hosmer–Lemeshow test). Results Forty-four Asian and five non-Asian studies comprising 21 BASIC and 46 EXTENDED T2D risk prediction models for validation were identified. The majority were at high (n = 43, 87.8%) or unclear (n = 3, 6.1%) risk of bias, while only three studies (6.1%) were scored at low risk of bias. BASIC models showed poor-to-moderate discrimination with C-statistics 0.52–0.60, 0.50–0.59, and 0.50–0.64 in the ACE, Luzhou, and TCLSIH cohorts respectively. EXTENDED models showed poor-to-acceptable discrimination with C-statistics 0.54–0.73, 0.52–0.67, and 0.59–0.78 respectively. Fifteen BASIC and 40 EXTENDED models showed poor calibration (P < 0.05), overpredicting or underestimating the observed diabetes risk. Most recalibrated models showed improved calibration but modestly-to-severely overestimated diabetes risk in the three cohorts. The NAVIGATOR model showed the best discrimination in the three cohorts but had poor calibration (P < 0.05). Conclusions In Chinese people with IH, previously published BASIC models to predict T2D did not exhibit good discrimination or calibration. Several EXTENDED models performed better, but a robust Chinese T2D risk prediction tool in people with IH remains a major unmet need. Supplementary Information The online version contains supplementary material available at 10.1186/s12933-022-01622-5.
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Affiliation(s)
- Shishi Xu
- Division of Endocrinology and Metabolism, Center for Diabetes and Metabolism Research, Laboratory of Diabetes and Islet Transplantation Research, West China Medical School, West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, China.,Diabetes Trials Unit, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Ruth L Coleman
- Diabetes Trials Unit, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Qin Wan
- Department of Endocrine and Metabolic Diseases, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Yeqing Gu
- Nutrition and Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Ge Meng
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Kun Song
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Zumin Shi
- Human Nutrition Department, College of Health Sciences, QU Health, Qatar University, Doha, Qatar
| | - Qian Xie
- Department of General Practice, People's Hospital of LeShan, LeShan, China
| | - Jaakko Tuomilehto
- Department of Public Health, University of Helsinki, Helsinki, Finland.,Population Health Unit, Finnish Institute for Health and Welfare, Helsinki, Finland.,Saudi Diabetes Research Group, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Rury R Holman
- Diabetes Trials Unit, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Kaijun Niu
- Nutrition and Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China. .,Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
| | - Nanwei Tong
- Division of Endocrinology and Metabolism, Center for Diabetes and Metabolism Research, Laboratory of Diabetes and Islet Transplantation Research, West China Medical School, West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, China.
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45
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Li H, Li S, Yang H, Zhang Y, Zhang S, Ma Y, Hou Y, Zhang X, Niu K, Borné Y, Wang Y. Association of Ultraprocessed Food Consumption With Risk of Dementia: A Prospective Cohort Study. Neurology 2022; 99:e1056-e1066. [PMID: 36219796 DOI: 10.1212/wnl.0000000000200871] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Accepted: 05/05/2022] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND AND OBJECTIVES There has been a growing body of evidence associating consumption of ultraprocessed foods (UPF) with adverse health outcomes including depression, cardiovascular disease, and all-cause mortality. However, whether UPF are associated with dementia is unknown. The authors investigated the associations between UPF and dementia incidence in the UK Biobank. METHODS We included 72,083 participants (55 years or older) who were free from dementia at baseline and provided at least 2 times 24-hour dietary assessments from the UK Biobank study. Follow-up occurred through March 2021. UPF were defined according to the NOVA classification. Incident all-cause dementia comprising Alzheimer disease (AD) and vascular dementia was ascertained through electronic linkages to hospital and mortality records. Cox proportional hazards were used to estimate the association between the proportion (%) of UPF in the diet and the subsequent risk of dementia. In addition, substitution analysis was used to estimate the risk of dementia when substituting UPF with an equivalent proportion of unprocessed or minimally processed foods. RESULTS During a total of 717,333 person-years of follow-up (median 10.0 years), 518 participants developed dementia, of whom 287 developed AD and 119 developed vascular dementia. In the fully adjusted model, consumption of UPF was associated with higher risk of dementia (hazard ratio [HR] for 10% increase in UPF 1.25; 95% CI 1.14-1.37), AD (HR 1.14; 95% CI 1.00-1.30), and vascular dementia (HR 1.28; 95% CI 1.06-1.55), respectively. In addition, replacing 10% of UPF weight in diet with an equivalent proportion of unprocessed or minimally processed foods was estimated to be associated with a 19% lower risk of dementia (HR 0.81; 95% CI 0.74-0.89). DISCUSSION In this prospective cohort study, higher consumption of UPF was associated with higher risk of dementia, whereas substituting unprocessed or minimally processed foods for UPF was associated with lower risk of dementia.
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Affiliation(s)
- Huiping Li
- From the School of Public Health (H.L., H.Y., Y.Z., S.Z., Y.M., Y.H., X.Z., K.N., Y.W.), Tianjin Medical University; School of Management (S.L.), Tianjin University of Traditional Chinese Medicine; and Department of Clinical Sciences in Malmö (Y.B.), Lund University, Sweden
| | - Shu Li
- From the School of Public Health (H.L., H.Y., Y.Z., S.Z., Y.M., Y.H., X.Z., K.N., Y.W.), Tianjin Medical University; School of Management (S.L.), Tianjin University of Traditional Chinese Medicine; and Department of Clinical Sciences in Malmö (Y.B.), Lund University, Sweden
| | - Hongxi Yang
- From the School of Public Health (H.L., H.Y., Y.Z., S.Z., Y.M., Y.H., X.Z., K.N., Y.W.), Tianjin Medical University; School of Management (S.L.), Tianjin University of Traditional Chinese Medicine; and Department of Clinical Sciences in Malmö (Y.B.), Lund University, Sweden
| | - Yuan Zhang
- From the School of Public Health (H.L., H.Y., Y.Z., S.Z., Y.M., Y.H., X.Z., K.N., Y.W.), Tianjin Medical University; School of Management (S.L.), Tianjin University of Traditional Chinese Medicine; and Department of Clinical Sciences in Malmö (Y.B.), Lund University, Sweden
| | - Shunming Zhang
- From the School of Public Health (H.L., H.Y., Y.Z., S.Z., Y.M., Y.H., X.Z., K.N., Y.W.), Tianjin Medical University; School of Management (S.L.), Tianjin University of Traditional Chinese Medicine; and Department of Clinical Sciences in Malmö (Y.B.), Lund University, Sweden
| | - Yue Ma
- From the School of Public Health (H.L., H.Y., Y.Z., S.Z., Y.M., Y.H., X.Z., K.N., Y.W.), Tianjin Medical University; School of Management (S.L.), Tianjin University of Traditional Chinese Medicine; and Department of Clinical Sciences in Malmö (Y.B.), Lund University, Sweden
| | - Yabing Hou
- From the School of Public Health (H.L., H.Y., Y.Z., S.Z., Y.M., Y.H., X.Z., K.N., Y.W.), Tianjin Medical University; School of Management (S.L.), Tianjin University of Traditional Chinese Medicine; and Department of Clinical Sciences in Malmö (Y.B.), Lund University, Sweden
| | - Xinyu Zhang
- From the School of Public Health (H.L., H.Y., Y.Z., S.Z., Y.M., Y.H., X.Z., K.N., Y.W.), Tianjin Medical University; School of Management (S.L.), Tianjin University of Traditional Chinese Medicine; and Department of Clinical Sciences in Malmö (Y.B.), Lund University, Sweden
| | - Kaijun Niu
- From the School of Public Health (H.L., H.Y., Y.Z., S.Z., Y.M., Y.H., X.Z., K.N., Y.W.), Tianjin Medical University; School of Management (S.L.), Tianjin University of Traditional Chinese Medicine; and Department of Clinical Sciences in Malmö (Y.B.), Lund University, Sweden
| | - Yan Borné
- From the School of Public Health (H.L., H.Y., Y.Z., S.Z., Y.M., Y.H., X.Z., K.N., Y.W.), Tianjin Medical University; School of Management (S.L.), Tianjin University of Traditional Chinese Medicine; and Department of Clinical Sciences in Malmö (Y.B.), Lund University, Sweden
| | - Yaogang Wang
- From the School of Public Health (H.L., H.Y., Y.Z., S.Z., Y.M., Y.H., X.Z., K.N., Y.W.), Tianjin Medical University; School of Management (S.L.), Tianjin University of Traditional Chinese Medicine; and Department of Clinical Sciences in Malmö (Y.B.), Lund University, Sweden.
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46
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Zhang B, Wang X, Gu Y, Zhang Q, Liu L, Meng G, Wu H, Zhang S, Zhang T, Li H, Zhang J, Sun S, Wang X, Zhou M, Jia Q, Song K, Huang J, Huo J, Zhang B, Ding G, Niu K. The association between grip strength and incident carotid atherosclerosis in middle-aged and older adults: The TCLSIH cohort study. Maturitas 2022; 167:53-59. [DOI: 10.1016/j.maturitas.2022.09.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Revised: 09/03/2022] [Accepted: 09/17/2022] [Indexed: 10/14/2022]
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Zhang S, Meng G, Zhang Q, Liu L, Wu H, Gu Y, Wang Y, Zhang T, Wang X, Zhang J, Sun S, Wang X, Zhou M, Jia Q, Song K, Wang Y, Qi L, Niu K. Inflammatory potential of diet and risk of nonalcoholic fatty liver disease: a prospective cohort study. Eur J Clin Nutr 2022; 76:1125-1132. [PMID: 35079162 DOI: 10.1038/s41430-022-01069-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Revised: 12/14/2021] [Accepted: 01/05/2022] [Indexed: 12/12/2022]
Abstract
BACKGROUND/OBJECTIVES Diet is an important factor that can exacerbate or ameliorate chronic inflammation, which has been implicated in the pathogenesis of nonalcoholic fatty liver disease (NAFLD). However, no prospective study has yet investigated the relation between the inflammatory potential of diet and NAFLD. The aim of this study was to investigate the association between the inflammatory potential of the diet and the risk of NAFLD. SUBJECT/METHODS The study included 12,877 participants aged over 18 years (mean [standard deviation]: 39.4 [11.5] years). Dietary intake was assessed at baseline through food frequency questionnaires. Using white blood cell count as the inflammatory marker, we newly created a dietary inflammatory potential score by reduced rank regression and stepwise linear regression. NAFLD was identified by abdominal ultrasound during yearly health checkups. Cox proportional hazards regression models were used to estimate the association between the dietary inflammatory potential score and the risk of NAFLD. RESULTS During a median follow-up period of 4.2 years, 2744 first incident cases of NAFLD occurred. After adjustment for potential confounders, the multivariable hazards ratios (95% confidence intervals) for NAFLD across increasing quartiles of the dietary inflammatory potential score were 1.00 (reference), 1.01 (0.90, 1.13), 1.15 (1.03, 1.29), and 1.26 (1.13, 1.41), with P for trend <0.0001. This positive association appeared greater in men than in women (P for interaction = 0.02). CONCLUSIONS Our results indicate that a dietary pattern with high inflammatory potential is associated with a higher risk of NAFLD. Such findings provide the support that inflammation may be a potential mechanism linking diet to the risk of NAFLD.
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Affiliation(s)
- Shunming Zhang
- Nutrition and Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.,Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.,Department of Clinical Sciences in Malmö, Lund University, Malmö, Sweden
| | - Ge Meng
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.,Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Qing Zhang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Li Liu
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Hongmei Wu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yeqing Gu
- Nutrition and Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Yawen Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Tingjing Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xuena Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Juanjuan Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Shaomei Sun
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Xing Wang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Ming Zhou
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Qiyu Jia
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Kun Song
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Yaogang Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA. .,Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Kaijun Niu
- Nutrition and Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China. .,Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China. .,Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China. .,Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China. .,Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China.
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Dong X, Gu Y, Rayamajhi S, Thapa A, Meng G, Zhang Q, Liu L, Wu H, Zhang S, Zhang T, Wang X, Li H, Zhang J, Dong J, Zheng X, Cao Z, Sun S, Wang X, Zhou M, Jia Q, Song K, Chang H, Zheng Y, Niu K. Green tea consumption and risk of depressive symptoms: Results from the TCLSIH Cohort Study. J Affect Disord 2022; 310:183-188. [PMID: 35469912 DOI: 10.1016/j.jad.2022.04.112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Revised: 04/10/2022] [Accepted: 04/15/2022] [Indexed: 12/01/2022]
Abstract
BACKGROUND The prospective studies on the effect of particular type of tea consumption, especially green tea, on depressive symptoms are limited. OBJECTIVE The aim of this study is to investigate the prospective association between green tea consumption and depressive symptoms in a large general adult population. METHODS This prospective cohort study investigated 7524 participants aged 25 to 90 years from May 2013 to December 2018 and they were free of cardiovascular disease, cancer, and depressive symptoms at baseline. Green tea consumption was obtained through a validated food frequency questionnaire. Depressive symptoms were assessed by using the Self-Rating Depressive Scale (SDS). The association between green tea consumption and depressive symptoms was analyzed by Cox proportional hazards regression models. RESULTS A total of 1064 first incident cases of depressive symptoms (SDS ≥45) occurred during 14,661 person-years of follow-up (median follow-up of 2.0 years). In the crude model, the hazard ratios (95% confidence intervals) were 1.00 (reference), 0.95 (0.81, 1.12), 0.97 (0.83, 1.14) and 0.95 (0.79, 1.14), respectively. After adjusting for demographic characteristics, lifestyle factors, and dietary intake, the multivariable adjusted hazard ratios (95% confidence intervals) were 1.00 (reference), 0.88 (0.74, 1.05), 0.84 (0.69, 1.02) and 0.78 (0.63, 0.97), respectively. CONCLUSIONS The prospective study suggests that frequent green tea consumption is associated with a decreased risk of depressive symptoms in the general Chinese population.
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Affiliation(s)
- Xinrong Dong
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China; Nutrition and Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Yeqing Gu
- Nutrition and Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Sabina Rayamajhi
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Amrish Thapa
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Ge Meng
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China; Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Qing Zhang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Li Liu
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Hongmei Wu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Shunming Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Tingjing Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xuena Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Huiping Li
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Juanjuan Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Jun Dong
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xiaoxi Zheng
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Zhixia Cao
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Shaomei Sun
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Xing Wang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Ming Zhou
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Qiyu Jia
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Kun Song
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Hong Chang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yunliang Zheng
- Tianjin Institute of Modern Health Technology, Tianjin, China.
| | - Kaijun Niu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China; Nutrition and Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China; Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China; Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China.
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Wu H, He X, Li Q, Zheng Y, Rayamajhi S, Thapa A, Meng G, Zhang Q, Liu L, Wu H, Gu Y, Zhang S, Zhang T, Wang X, Zhang J, Cao Z, Dong J, Zheng X, Zhang X, Dong X, Sun S, Wang X, Zhou M, Jia Q, Song K, Chang H, Niu K. Relationship between the consumption of wholegrain and nonalcoholic fatty liver disease: The TCLSIH cohort study. Clin Nutr 2022; 41:1483-1490. [DOI: 10.1016/j.clnu.2022.05.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 05/04/2022] [Accepted: 05/13/2022] [Indexed: 11/03/2022]
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Gong Q, Momma H, Cui Y, Huang C, Niu K, Nagatomi R. Associations Between Consumption of Different Vegetable Types and Depressive Symptoms in Japanese Workers: A Cross-Sectional Study. Healthc Policy 2022; 15:1073-1085. [PMID: 35611327 PMCID: PMC9124467 DOI: 10.2147/rmhp.s350935] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 04/01/2022] [Indexed: 11/30/2022] Open
Abstract
Purpose Vegetable intake is an important part of our everyday diet and is associated with many positive health outcomes. Although previous studies have investigated the association between vegetable consumption and depressive symptoms among various populations, no study has examined this association in the adult working population. The present study investigated whether the frequency of consumption of a specific type of vegetable is associated with the prevalence of depressive symptoms in Japanese adult workers. Participants and Methods The final participants consisted of 1724 Japanese adults, and a cross-sectional study was conducted to analyze the results. The frequency of vegetable consumption and depressive symptoms was evaluated using a brief-type self-administered diet history questionnaire and the Zung Self-Rating Depression Scale (SDS), respectively. The association between the variables was examined using Poisson regression analysis. Age-stratified analysis was performed, and SDS cut-off values of 45 and 50 were used to perform a sensitivity analysis. Results After adjustment for covariates, including age, body mass index, sociodemographic and lifestyle-related variables, health condition, C-reactive protein, and other dietary variables, an inverse association was found between tomato product consumption and the prevalence of depressive symptoms among men (P for trend <0.01); however, no significant association was found for other vegetable types. For women, there was no association between the frequency of consumption of any of the vegetable types and the prevalence of depressive symptoms. The results were confirmed by the age-stratified analysis for both genders. Conclusion Consumption of tomato products may help alleviate depressive symptoms, regardless of differences in dietary culture among men.
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Affiliation(s)
- Qiang Gong
- Department of Medicine and Science in Sports and Exercise, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Haruki Momma
- Department of Medicine and Science in Sports and Exercise, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Yufei Cui
- Department of Medicine and Science in Sports and Exercise, Tohoku University Graduate School of Medicine, Sendai, Japan
- Institute of Exercise Epidemiology and Department of Physical Education, Huaiyin Institute of Technology, Huaian, People’s Republic of China
| | - Cong Huang
- Department of Physical Education, Zhejiang University, Hangzhou, People’s Republic of China
| | - Kaijun Niu
- Department of Epidemiology, School of Public Health, Tianjin Medical University, Tianjin, People’s Republic of China
| | - Ryoichi Nagatomi
- Department of Medicine and Science in Sports and Exercise, Tohoku University Graduate School of Medicine, Sendai, Japan
- Division of Biomedical Engineering for Health & Welfare, Tohoku University Graduate School of Biomedical Engineering, Sendai, Japan
- Correspondence: Ryoichi Nagatomi, Division of Biomedical Engineering for Health & Welfare, Tohoku University Graduate School of Biomedical Engineering, 2-1 Seiryo-machi, Aoba-ku, Sendai, 980-8575, Japan, Tel/Fax + 81-22-717-8586, Email
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