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Xu D, Zhang AL, Zheng JS, Ye MW, Li F, Qian GC, Shi HB, Jin XH, Huang LP, Mei JG, Mei GH, Xu Z, Fu H, Lin JJ, Ye HZ, Zheng Y, Hua LL, Yang M, Tong JM, Chen LL, Zhang YY, Yang DH, Zhou YL, Li HW, Lan YL, Xu YL, Feng JY, Chen X, Gong M, Chen ZM, Wang YS. [A multicenter prospective study on early identification of refractory Mycoplasma pneumoniae pneumonia in children]. Zhonghua Er Ke Za Zhi 2024; 62:317-322. [PMID: 38527501 DOI: 10.3760/cma.j.cn112140-20231121-00383] [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: 03/27/2024]
Abstract
Objective: To explore potential predictors of refractory Mycoplasma pneumoniae pneumonia (RMPP) in early stage. Methods: The prospective multicenter study was conducted in Zhejiang, China from May 1st, 2019 to January 31st, 2020. A total of 1 428 patients with fever >48 hours to <120 hours were studied. Their clinical data and oral pharyngeal swab samples were collected; Mycoplasma pneumoniae DNA in pharyngeal swab specimens was detected. Patients with positive Mycoplasma pneumoniae DNA results underwent a series of tests, including chest X-ray, complete blood count, C-reactive protein, lactate dehydrogenase (LDH), and procalcitonin. According to the occurrence of RMPP, the patients were divided into two groups, RMPP group and general Mycoplasma pneumoniae pneumonia (GMPP) group. Measurement data between the 2 groups were compared using Mann-Whitney U test. Logistic regression analyses were used to examine the associations between clinical data and RMPP. Receiver operating characteristic (ROC) curves were used to analyse the power of the markers for predicting RMPP. Results: A total of 1 428 patients finished the study, with 801 boys and 627 girls, aged 4.3 (2.7, 6.3) years. Mycoplasma pneumoniae DNA was positive in 534 cases (37.4%), of whom 446 cases (83.5%) were diagnosed with Mycoplasma pneumoniae pneumonia, including 251 boys and 195 girls, aged 5.2 (3.3, 6.9) years. Macrolides-resistant variation was positive in 410 cases (91.9%). Fifty-five cases were with RMPP, 391 cases with GMPP. The peak body temperature before the first visit and LDH levels in RMPP patients were higher than that in GMPP patients (39.6 (39.1, 40.0) vs. 39.2 (38.9, 39.7) ℃, 333 (279, 392) vs. 311 (259, 359) U/L, both P<0.05). Logistic regression showed the prediction probability π=exp (-29.7+0.667×Peak body temperature (℃)+0.004×LDH (U/L))/(1+exp (-29.7+0.667×Peak body temperature (℃)+0.004 × LDH (U/L))), the cut-off value to predict RMPP was 0.12, with a consensus of probability forecast of 0.89, sensitivity of 0.89, and specificity of 0.67; and the area under ROC curve was 0.682 (95%CI 0.593-0.771, P<0.01). Conclusion: In MPP patients with fever over 48 to <120 hours, a prediction probability π of RMPP can be calculated based on the peak body temperature and LDH level before the first visit, which can facilitate early identification of RMPP.
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Affiliation(s)
- D Xu
- Department of Pulmonology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - A L Zhang
- Department of Pediatrics, the Second Hospital of Jiaxing, Jiaxing 314001, China
| | - J S Zheng
- Department of Pediatrics, Ningbo Women and Children's Hospital, Ningbo 315012, China
| | - M W Ye
- Department of Pediatrics, Sanmen People's Hospital, Taizhou 317199, China
| | - F Li
- Department of Pediatrics, Shaoxing Second Hospital, Shaoxing 312099, China
| | - G C Qian
- Department of Pediatrics, Changxing Maternal and Child Health Care Hospital, Huzhou 313199, China
| | - H B Shi
- Department of Pediatrics, Ningbo Medical Center Lihuili Hospital, Ningbo 315048, China
| | - X H Jin
- Department of Pediatrics, Taizhou Hospital of Zhejiang Province, Taizhou 317099, China
| | - L P Huang
- Department of Pediatrics, Zhoushan Women and Children's Hospital, Zhoushan 316004, China
| | - J G Mei
- Department of Pediatrics, Cixi Maternal and Child Health Care Hospital, Ningbo 315331, China
| | - G H Mei
- Department of Pediatrics, Quzhou Maternal and Child Health Care Hospital, Quzhou 324003, China
| | - Z Xu
- Department of Pediatrics, Huzhou Central Hospital, Huzhou 313099, China
| | - H Fu
- Department of Pediatrics, Shengsi People's Hospital, Zhoushan 202450, China
| | - J J Lin
- Department of Pediatrics, Lishui City People's Hospital, Lishui 323050, China
| | - H Z Ye
- Department of Pediatrics, the First People's Hospital of Huzhou, Huzhou 313099, China
| | - Y Zheng
- Department of Pediatrics, People's Hospital of Quzhou, Quzhou 324002, China
| | - L L Hua
- Department of Pediatrics, Ningbo Women and Children's Hospital, Ningbo 315012, China
| | - M Yang
- Department of Pediatrics, Sanmen People's Hospital, Taizhou 317199, China
| | - J M Tong
- Department of Pediatrics, Changxing Maternal and Child Health Care Hospital, Huzhou 313199, China
| | - L L Chen
- Department of Pediatrics, Taizhou Hospital of Zhejiang Province, Taizhou 317099, China
| | - Y Y Zhang
- Department of Pulmonology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - D H Yang
- Department of Pulmonology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - Y L Zhou
- Department of Pulmonology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - H W Li
- Department of Pulmonology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - Y L Lan
- Department of Pulmonology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - Y L Xu
- Department of Pediatrics, Zhoushan Women and Children's Hospital, Zhoushan 316004, China
| | - J Y Feng
- Department of Pediatrics, Cixi Maternal and Child Health Care Hospital, Ningbo 315331, China
| | - X Chen
- Department of Pediatrics, Huzhou Central Hospital, Huzhou 313099, China
| | - M Gong
- Department of Pediatrics, People's Hospital of Quzhou, Quzhou 324002, China
| | - Z M Chen
- Department of Pulmonology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - Y S Wang
- Department of Pulmonology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
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Su L, Huang SM, Xiao JY, Chen ZM. [Research progress on membrane vesicles and immunomodulatory effect of Streptococcus pneumoniae]. Zhonghua Er Ke Za Zhi 2024; 62:282-285. [PMID: 38378294 DOI: 10.3760/cma.j.cn112140-20230818-00114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/22/2024]
Affiliation(s)
- L Su
- Department of Pulmonology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - S M Huang
- Department of Pulmonology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - J Y Xiao
- Department of Pulmonology, Hangzhou Children's Hospital, Hangzhou 310014, China
| | - Z M Chen
- Department of Pulmonology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
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Zhao SY, Liu HM, Lu Q, Liu XC, Hong JG, Liu EM, Zou YX, Yang M, Chen ZM, Zhang HL, Zhao DY, Zhang XB, Yin Y, Dong XY, Lu XX, Liu JR, Chen LN. [Interpretation of key points in diagnosis and treatment of Mycoplasma pneumoniae pneumonia in children (November 2023)]. Zhonghua Er Ke Za Zhi 2024; 62:108-113. [PMID: 38228509 DOI: 10.3760/cma.j.cn112140-20231120-00382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/18/2024]
Affiliation(s)
- S Y Zhao
- Department of No.2 Respiratory Medicine, Beijing Children's Hospital, Capital Medical University, National Clinical Research Center for Respiratory Diseases, National Center for Children's Health, Beijing 100045, China
| | - H M Liu
- Department of Pediatric Pulmonology and Immunology, West China Second University Hospital, Sichuan University, Chengdu 610041, China
| | - Q Lu
- Department of Pulmonology, Shanghai Children's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200062, China
| | - X C Liu
- Department of No.2 Respiratory Medicine, Beijing Children's Hospital, Capital Medical University, National Clinical Research Center for Respiratory Diseases, National Center for Children's Health, Beijing 100045, China
| | - J G Hong
- Department of Pediatrics, Shanghai General Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai 200080, China
| | - E M Liu
- Department of Respiratory, Children's Hospital of Chongqing Medical University, Chongqing 400014, China
| | - Y X Zou
- Department of Pulmonology, Tianjin Children's Hospital (Children's Hospital of Tianjin University), Machang Compus, Tianjin 300074, China
| | - M Yang
- Department of Pharmacy, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China
| | - Z M Chen
- Department of Pulmonology, Children's Hospital, Zhejiang University School of Medicine, Hangzhou 310052, China
| | - H L Zhang
- Department of Pediatric Respiratory Medicine, the Second Affiliated Hospital & Yuying Children's Hospital of Wenzhou Medical University, Wenzhou 325027, China
| | - D Y Zhao
- Department of Respiratory Medicine, Children's Hospital of Nanjing Medical University, Nanjing 210008, China
| | - X B Zhang
- Department of Respiratory Disease, Children's Hospital of Fudan University, Shanghai 201102, China
| | - Y Yin
- Department of Respiratory Medicine, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai 200062, China
| | - X Y Dong
- Department of Pulmonology, Shanghai Children's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200062, China
| | - X X Lu
- Department of Respiratory Medicine, Wuhan Children's Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430015, China
| | - J R Liu
- Department of No.2 Respiratory Medicine, Beijing Children's Hospital, Capital Medical University, National Clinical Research Center for Respiratory Diseases, National Center for Children's Health, Beijing 100045, China
| | - L N Chen
- Department of Pediatric Pulmonology and Immunology, West China Second University Hospital, Sichuan University, Chengdu 610041, China
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Hu JC, Ding YQ, Pang HY, Yu CQ, Sun DJY, Pei P, Du HD, Chen JS, Chen ZM, Zhu L, Lyu J, Li LM. [Prevalence of urinary incontinence in middle-aged and elderly adults in 10 areas in China]. Zhonghua Liu Xing Bing Xue Za Zhi 2024; 45:11-18. [PMID: 38228519 DOI: 10.3760/cma.j.cn112338-20230910-00144] [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: 01/18/2024]
Abstract
Objective: To describe the population and area distribution differences in the prevalence of urinary incontinence in middle-aged and elderly adults in 10 areas in China. Methods: A total of 24 913 participants aged 45-95 years who completed the third resurvey of China Kadoorie Biobank during 2020-2021 were included. The prevalence of urinary incontinence was assessed by an interviewer-administered questionnaire, and urinary incontinence was classified as only stress urinary incontinence, only urgency urinary incontinence and mixed urinary incontinence. The prevalence of urinary incontinence and its subtypes were reported by sex, age and area, and the severity of urinary incontinence and treatment were described. Results: The average age of the participants was (65.4±9.1) years. According to the seventh national census data in 2020, the age-standardized prevalence rates of urinary incontinence was 25.4% in women and 7.0% in men. The age-standardized prevalence rates of only stress, only urgency and mixed incontinence were 1.7%, 4.2% and 1.2% in men and 13.5%, 5.8% and 6.1% in women, respectively. The prevalence rates of urinary incontinence and all subtypes in men and the prevalence of urinary incontinence and all subtypes except only stress urinary incontinence in women all increased with age (P<0.001). After adjusting for age, the prevalence of urinary incontinence in both men and women were higher in rural area than in urban area (P<0.001). The treatment rates in men and women with urinary incontinence were 15.4% and 8.5%, respectively. Conclusions: The prevalence of urinary incontinence was high in middle-aged and elderly adults in China, and the prevalence rate was higher in women than in men, but the treatment rate of urinary incontinence was low.
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Affiliation(s)
- J C Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - Y Q Ding
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - H Y Pang
- Medical Science Research Center, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - D J Y Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - P Pei
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - H D Du
- Medical Research Council Population Health Research Unit, University of Oxford, Oxford OX3 7LF, United Kingdom Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom
| | - J S Chen
- China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - Z M Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom
| | - L Zhu
- Department of Gynecology and Obstetrics, National Clinical Research Center for Obstetric and Gynecologic Diseases, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
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Yu W, Lan YB, Lyu J, Sun DJY, Pei P, Du HD, Chen JS, Chen ZM, Li LM, Yu CQ. [Epidemiological characteristics of preserved vegetable intake in adults in 10 areas of China]. Zhonghua Liu Xing Bing Xue Za Zhi 2024; 45:19-25. [PMID: 38228520 DOI: 10.3760/cma.j.cn112338-20230613-00370] [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: 01/18/2024]
Abstract
Objective: To describe the epidemiological characteristics of intakes of different types of preserved vegetables in participants from the China Kadoorie Biobank (CKB). Methods: The CKB project conducted baseline survey, the first resurvey, and the second resurvey during 2004-2008, 2008, and 2013-2014, respectively. According to the average intake levels of salted and sour pickled vegetables in the second resurvey, the 10 survey areas were classified as the area where people mainly consumed salted vegetables, the area where people mainly consumed sour pickled vegetables, and the area where people rarely consumed preserved vegetables. For the first two areas, logistic regression model was used to describe the temporal trends and population distribution of preserved vegetable intake and analyze the distribution of other dietary factors. Results: The area where people mainly consumed salted vegetables included Qingdao, Harbin, Suzhou, and Zhejiang (baseline participant number: 204 036), while the area where people mainly consumed sour pickled vegetables included Gansu and Sichuan (baseline participant number: 105 573). In the area where people mainly consumed salted vegetables, the average intake frequencies of preserved vegetables was 3.1, 3.3, and 1.8 days/week in the baseline survey, the first resurvey, and the second resurvey, respectively, showing a declining trend (P<0.001). Similarly, the average intake frequencies of preserved vegetables were 2.8, 2.7, and 1.6 days/week in the baseline survey, the first resurvey and the second resurvey in the area where people mainly consumed sour pickled vegetables (P<0.001). At baseline survey, the married and those had lower education level tended to have more preserved vegetable intakes in both areas (P<0.001). In the area where people mainly consumed salted vegetables, the elderly had higher frequency of preserved vegetable intake (P<0.001), which was converse in the area where people mainly consumed sour pickled vegetables. In the participants with higher frequency of preserved vegetable intake, more people consumed spicy food daily and preferred salty food (P<0.05). Conclusions: The area and population specific differences in the type and frequency of preserved vegetable intake were observed in adults in the CKB project in China. Besides, the average level of preserved vegetable intake showed a declining trend. Preserved vegetable intake might be associated with other dietary habits.
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Affiliation(s)
- W Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Y B Lan
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education,Beijing 100191, China
| | - D J Y Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education,Beijing 100191, China
| | - P Pei
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - H D Du
- Medical Research Council Population Health Research Unit, University of Oxford, Oxford OX3 7LF, United Kingdom Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom
| | - J S Chen
- China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - Z M Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education,Beijing 100191, China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education,Beijing 100191, China
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Li SY, Zhang YQ, Xiao M, Sun DJY, Yu CQ, Wang YQ, Pei P, Chen JS, Chen ZM, Li LM, Lyu J. [A prospective cohort study of factors associated with longevity in older adults in 10 areas of China]. Zhonghua Liu Xing Bing Xue Za Zhi 2024; 45:26-34. [PMID: 38228521 DOI: 10.3760/cma.j.cn112338-20230724-00035] [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: 01/18/2024]
Abstract
Objective: To evaluate the associations of sociodemographic characteristics and lifestyle factors with longevity status in older adults in China. Methods: After excluding those born after 31st December 1938, a total of 51 870 older adults from the China Kadoorie Biobank (CKB) were included. The attained age was defined according to the survival age or age on 31st December 2018. According to the attained age, the old persons were categorized into non-longevity (died before age 80 years) and longevity (attained age ≥80 years). The longevity group was further divided into two groups: longevity with death occurring before 2019, and longevity and survival to 2019. The information about socio-demographic characteristics and lifestyles was collected at the 2004-2008 baseline survey. Multinomial logistic regression models were used to analyze the associations between exposure factors and outcomes by taking the non-longevity group as the reference group. Results: A total of 51 870 older adults aged 65-79 years in the baseline survey were included for analysis. During a follow-up for (10.2±3.5) years, 38 841 participants were longevity, and 30 354 participants still survived at the end of 2018. Compared to men, rural populations, non-married individuals, those with an annual household income of less than 10 000 yuan, and those with education levels of primary school or below, the adjusted ORs(95%CI) for longevity and survival to 2019 in women, urban residents, married individuals, those with annual household incomes ≥20 000 yuan, and those with education levels of college or university were 1.68 (1.58-1.78), 1.69 (1.61-1.78), 1.15 (1.10-1.21), 1.44 (1.36-1.53), and 1.32 (1.19-1.48), respectively. The OR (95%CI) for longevity and survival to 2019 was 1.09 (1.08-1.10) for those with an increase of 4 MET-hour/day in total physical activity level. With those who never or almost never smoked, had no alcohol drinking every week, had normal weight (BMI: 18.5-23.9 kg/m2), and WC <85 cm (man)/<80 cm (woman) as the reference groups, the ORs(95%CI) of longevity and survival to 2019 were 0.64 (0.60-0.69) for those smoking ≥20 cigarettes per day, 1.29 (1.14-1.46) for those with alcohol drinking every week, 1.13 (1.01-1.26) for those with pure alcohol drinking <30 g per day, 0.56 (0.52-0.61) for those being underweight, 1.27 (1.19-1.36) for those being overweight, 1.23 (1.11-1.36) for those with obesity, and 0.86 (0.79-0.93) for those with central obesity. Further stratified analysis by WC was performed. In the older adults with WC <85 cm (man)/<80 cm (woman), the ORs (95%CI) of longevity and survival was 1.80 (1.69-1.92) for those with each 5 kg/m2 increase in BMI and 1.02 (0.96-1.08) for those with WC ≥85 cm (man)/≥80 cm (woman). There was a statistically significant difference in the association between BMI and longevity between the two WC groups (interaction test P<0.001). Conclusion: This study showed that women, the married, those with higher socioeconomic status and education level, and those with healthy lifestyles were more likely to achieve longevity.
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Affiliation(s)
- S Y Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Y Q Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - M Xiao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - D J Y Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - Y Q Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - P Pei
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - J S Chen
- China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - Z M Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
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Zhao YX, Song MY, Lyu J, Yu CQ, Pei P, Du HD, Chen JS, Chen ZM, Li LM, Sun DJY. [Epidemiological distribution of mosaic loss of chromosome Y in adult men in 10 areas in China and its prospective association with lung cancer]. Zhonghua Liu Xing Bing Xue Za Zhi 2024; 45:56-62. [PMID: 38228525 DOI: 10.3760/cma.j.cn112338-20230412-00228] [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: 01/18/2024]
Abstract
Objective: To detect the prevalence of mosaic loss of chromosome Y in adult men in ten study areas in China, describe the epidemiological distribution of mosaic loss of chromosome Y (mLOY) carriers and assess its prospective association with lung cancer. Methods: Based on the data from baseline survey, genetic analysis and follow-up (as of December 31, 2018) from China Kadoorie Biobank, we used Mosaic Chromosomal Alterations pipeline to detect mLOY carriers in 10 areas in China and described the epidemiological characteristics of mLOY carriers in adult men, including age, area distribution, lifestyle and disease history. We used multivariate logistic regression model to identify the potential relevant factor of mLOY. Cox proportional hazard regression model was fitted to assess the prospective association of mLOY with lung cancer. Stratification analysis were conducted to evaluate the potential modification effects of smoking and age. We also conducted mediation analysis to assess the mediating effect of mLOY in the association between smoking and lung cancer. Results: A total of 42 859 adult men were included in our analysis, in whom 2 458 mLOY carriers were detected (5.7%). The detection rate increased with age (P<0.05). The detection rate was higher in urban area (7.3%±0.2%) than that in rural area (4.7%±0.1%). The results of logistic regression analysis indicated that smoking might be a risk factor for the detection of mLOY (OR=1.49, 95%CI:1.36-1.64). After follow-up for average 11.1 years, 1 041 lung cancer cases were observed. The prospective analysis showed that mLOY carriers had an increased risk for lung cancer by 24% compared with non-mLOY carriers (HR=1.24, 95%CI:1.01-1.52) and expanded mLOY carriers (mLOY cell proportion ≥10%) had an increased risk for lung cancer by 50% (HR=1.50, 95%CI:1.13-2.00). Stratification analysis showed no modification effects of smoking and age in the association between mLOY and lung cancer (interaction P>0.05). Mediation analysis showed that mLOY could be a mediating factor in the association between smoking and lung cancer, the estimated effect was 0.09 (0.01-0.17). Conclusions: There were significant differences in the detection rate of mLOY in adult men with different social-economic characteristics and lifestyles in ten areas in China. Besides, mLOY carriers, especially expanded mLOY carriers, had increased risk for lung cancer and mLOY might be a mediating factor in the association between smoking and lung cancer.
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Affiliation(s)
- Y X Zhao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - M Y Song
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - P Pei
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - H D Du
- Medical Research Council Population Health Research Unit, University of Oxford, Oxford OX3 7LF, United Kingdom Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom
| | - J S Chen
- China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - Z M Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - D J Y Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
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Chen YY, Ke YL, Lyu J, Sun DJY, Pan L, Pei P, Du HD, Chen JS, Chen ZM, Li LM, Doherty DOHERTY, Yu CQ. [Progress and practice of objective measurement of physical behaviors in large-scale cohort research]. Zhonghua Liu Xing Bing Xue Za Zhi 2024; 45:35-40. [PMID: 38228522 DOI: 10.3760/cma.j.cn112338-20230724-00036] [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: 01/18/2024]
Abstract
Due to the limited reliability of traditional self-completed questionnaire, the accuracy of measurement of physical behaviors (physical activity, sedentary behavior and sleep) is not high. With the development of technology, wearable devices (e.g. accelerometer) can be used for more accurate measurement of physical behaviors and have great application potential in large-scale research. However, the data of objective measurement of physical behaviors from large-scale cohort research in Asian populations is still limited. Between August 2020 and December 2021, the 3rd resurvey of China Kadoorie Biobank (CKB) project used Axivity AX3 wrist triaxial accelerometer to collect the data of participants' daily activity and sleep status. A total of 20 370 participants from 10 study areas were included in the study, in whom 65.2% were women, and the age was (65.4±9.1) years. The participants' physical activity level varied greatly in different study areas. The objective measurement of participants' physical behaviors in CKB project has provided valuable resources for the description of 24-hour patterns of physical behaviors and evaluation of the health effect of physical activity, sedentary behavior and sleep as well as their association with diseases in the elderly in China.
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Affiliation(s)
- Y Y Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191,China
| | - Y L Ke
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191,China
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191,China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191,China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191,China
| | - D J Y Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191,China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191,China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191,China
| | - L Pan
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191,China
| | - P Pei
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191,China
| | - H D Du
- Medical Research Council Population Health Research Unit, University of Oxford, Oxford OX3 7LF, United Kingdom Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom
| | - J S Chen
- China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - Z M Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191,China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191,China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191,China
| | - D O H E R T Y Doherty
- Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7LF, United Kingdom
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191,China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191,China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191,China
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9
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Cui H, Sun HX, Wang ZZ, Liu L, Wang S, Qu JC, Chen ZM. [Analysis of the incidence and burden of intraocular foreign bodies in China based on age-period-cohort model]. Zhonghua Yan Ke Za Zhi 2023; 59:650-656. [PMID: 37550973 DOI: 10.3760/cma.j.cn112142-20230406-00142] [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] [Subscribe] [Scholar Register] [Indexed: 08/09/2023]
Abstract
Objective: This study aims to analyze the incidence, disease burden, and trend of intraocular foreign bodies in China from 1990 to 2019, and to analyze the trend of changes in age, period, and cohort of Chinese men. Methods: The data related to the incidence rate and disease burden of intraocular foreign bodies in China from 1990 to 2019 were obtained from the Global Burden of Disease Database (GBD database) on the website of the Institute for Health Indicators and Evaluation (IHME) of the University of Washington, United States, and the annual percentage rate change (AAPC) of intraocular foreign bodies in China was calculated using the Joinpoint software to describe the long-term trend of their incidence rate and disease burden over time. Using Stata17 software, an age period cohort model was constructed to analyze the age, period, and cohort factors affecting intraocular foreign bodies in men. Results: In 2019, the incidence rate of intraocular foreign bodies in China was 791.20/100 000, and the DALY rate was 10.32/100 000, with an average annual decline rate of 1.70% and 1.48% respectively. In 2019, the number of cases of intraocular foreign bodies in China was 11.253 6 million, and the DALY was 1 812.29 million person years. Among them, the incidence and disease burden of intraocular foreign bodies in men were more severe than those in women, and the incidence and disease burden risk of intraocular foreign bodies in men aged 30-35 and 45-50 were the highest. The incidence and disease burden risk of intraocular foreign bodies in elderly men gradually increased. Conclusions: As a common ophthalmic disease, the incidence of intraocular foreign bodies and the DALY rate are declining, but the disease burden is increasing. With the aging of the population, the incidence of intraocular foreign bodies in the elderly will further increase in the future, which should be considered by policy makers. The findings of this study can help governments and healthcare planners formulate practical and targeted policy responses.
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Affiliation(s)
- H Cui
- Department of Ophthalmology, Harbin 242 Hospital, Harbin 150066, China
| | - H X Sun
- Heilongjiang Academy of Medical Sciences, Harbin 150081, China
| | - Z Z Wang
- Department of Ophthalmology, No.2 People's Hospital of Jingdezhen, Jingdezhen 333000, China
| | - L Liu
- Department of Ophthalmology, Harbin 242 Hospital, Harbin 150066, China
| | - S Wang
- Department of Ophthalmology, Harbin 242 Hospital, Harbin 150066, China
| | - J C Qu
- Department of Ophthalmology, Harbin 242 Hospital, Harbin 150066, China
| | - Z M Chen
- Department of Ophthalmology, Harbin 242 Hospital, Harbin 150066, China
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10
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Yang HM, Zhao YX, Lyu J, Yu CQ, Guo Y, Pei P, Du HD, Chen JS, Chen ZM, Sun DJY, Li LM. [Study on the associations of meeting intensive systolic blood pressure control goals with risk for incident cardiovascular and cerebrovascular diseases among the adult hypertensive patients in China]. Zhonghua Liu Xing Bing Xue Za Zhi 2023; 44:1175-1182. [PMID: 37661606 DOI: 10.3760/cma.j.cn112338-20230317-00156] [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: 09/05/2023]
Abstract
Objective: To evaluate the associations of meeting intensive systolic blood pressure (SBP) control goals with risk for incident cardiovascular and cerebrovascular diseases among the adult hypertensive patients in China. Methods: We used data from adult hypertensive patients from the China Kadoorie Biobank. logistic regression models evaluated the influencing factors of meeting intensive and standard SBP control goals. Cox proportional hazard models evaluated the associations between meeting intensive vs. standard SBP control goals and risk for incident cardiovascular and cerebrovascular diseases. Results: A total of 3 628 hypertensive patients who reported continuous medication use were included in this study, of which 5.0% of the participants met the goals of intensive SBP control (≤130 mmHg). Participants with higher educational attainment (OR=2.36,95%CI: 1.32-4.04), healthier diet (OR=2.09,95%CI: 1.45-2.96), daily intake of fresh fruit (OR=1.67,95%CI: 1.17-2.36) and combination treatment (OR=1.82,95%CI: 1.03-3.09) were more likely to meet intensive SBP control goal after adjustment of age, sex and urban/rural areas. During an average follow-up of (10.0±3.7) years, 1 278 cases of composite cardiovascular outcome were recorded. This study did not find a statistical correlation between achieving the goal of enhanced SBP control and the occurrence of composite cardiovascular and cerebrovascular outcomes (HR=0.89, 95%CI: 0.63-1.25). For major adverse cardiovascular events (MACE), cerebrovascular diseases, stroke, and ischemic stroke, we observed a trend of decrease in risk of outcomes with more intensive SBP control (trend test P<0.05). Conclusions: We observed decreased risk for MACE and cerebrovascular diseases with more intensive SBP control. However, there was no significant risk reduction for cardiovascular and cerebrovascular diseases when meeting the intensive SBP control goal, compared to the standard SBP control goal.
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Affiliation(s)
- H M Yang
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Y X Zhao
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - J Lyu
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - C Q Yu
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - Y Guo
- Fuwai Hospital, Chinese Academy of Medical Sciences, Beijing 100037, China
| | - P Pei
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - H D Du
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford OX3 7LF, United Kingdom Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom
| | - J S Chen
- China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - Z M Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom
| | - D J Y Sun
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - L M Li
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
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11
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Song MY, Zhao YX, Han YT, Lyu J, Yu CQ, Pei P, Du HD, Chen JS, Chen ZM, Sun DJY, Li LM. [Epidemiological distribution characteristics of peripheral blood mosaic chromosomal alteration in adults from 10 regions of China]. Zhonghua Liu Xing Bing Xue Za Zhi 2023; 44:1021-1026. [PMID: 37482702 DOI: 10.3760/cma.j.cn112338-20230306-00129] [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] [Subscribe] [Scholar Register] [Indexed: 07/25/2023]
Abstract
Objective: To describe the epidemiological distribution characteristics of peripheral blood mosaic chromosomal alteration (mCA) in community adults aged 30-79 years in 10 regions of China. Methods: A total of 100 297 participants with complete baseline information (demographic characteristics, lifestyle, physical examination, etc.) and genotyping data of blood-derived DNA in ten regions of the China Kadoorie Biobank study were included. The mCAs were detected with the Mosaic Chromosomal Alterations pipeline, and logistic regression models were used to compare the differences in the detection rate of mCAs in different regions and populations. Results: A total of 5 810 mCA carriers were detected, with the detection rate of 5.8%. The standardized detection rate was 5.1%. The baseline detection rate of mCA increased with age, which were 3.4%, 5.0%, and 9.4% in those aged 30-, 51-, and >60 years, respectively (trend test P<0.001). A more significant proportion of mCAs were found in men (8.0%) than women (4.0%), as well as in urban areas (6.4%) than in rural areas (5.3%), the difference was significant (P<0.001). After adjusting for age and gender, the detection rate of mCA was higher in current smokers or people quitting smoking due to illness and people with low physical activity level, and the mCA detection rate was lower in obesy people (5.3%) than that in people with normal body weight (5.9%) (P=0.006). Conclusions: The detection rate of mCAs varied with region and population in community adults aged 30-79 years in 10 regions of China. The study results might contribute to the molecular identification of aging populations and guide precision prevention of age-related diseases such as cancers.
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Affiliation(s)
- M Y Song
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Y X Zhao
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Y T Han
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - J Lyu
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - C Q Yu
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - P Pei
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - H D Du
- Medical Research Council Population Health Research Unit, University of Oxford, Oxford OX3 7LF, United Kingdom Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom
| | - J S Chen
- China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - Z M Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom
| | - D J Y Sun
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - L M Li
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
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12
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Liu CY, Cheng S, Pang YJ, Yu CQ, Sun DJY, Pei P, Chen JS, Chen ZM, Lyu J, Li LM. [Tea consumption and cancer: a Mendelian randomization study]. Zhonghua Liu Xing Bing Xue Za Zhi 2023; 44:1027-1036. [PMID: 37482703 DOI: 10.3760/cma.j.cn112338-20230217-00086] [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] [Subscribe] [Scholar Register] [Indexed: 07/25/2023]
Abstract
Objective: A Mendelian randomization (MR) analysis was performed to assess the relationship between tea consumption and cancer. Methods: There were 100 639 participants with the information of gene sequencing of whole genome in the China Kadoorie Biobank. After excluding those with cancer at baseline survey, a total of 100 218 participants were included in this study. The baseline information about tea consumption were analyzed, including daily tea consumption or not, cups of daily tea consumption, and grams of daily tea consumption. We used the two-stage least square method to evaluate the associations between three tea consumption variables and incidence of cancer and some subtypes, including stomach cancer, liver and intrahepatic bile ducts cancer, colorectal cancer, tracheobronchial and lung cancer, and female breast cancer. Multivariable MR and analysis only among nondrinkers were used to control the impact of alcohol consumption. Sensitivity analyses were also performed, including inverse variance weighting, weighted median, and MR-Egger. Results: We used 54, 42, and 28 SNPs to construct non-weighted genetic risk scores as instrumental variables for daily tea consumption or not, cups of daily tea consumption, and grams of daily tea consumption, respectively. During an average of (11.4±3.0) years of follow-up, 6 886 cases of cancer were recorded. After adjusting for age, age2, sex, region, array type, and the first 12 genetic principal components, there were no significant associations of three tea consumption variables with the incidence of cancer and cancer subtypes. Compared with non-daily tea drinkers, the HR (95%CI) of daily tea drinkers for cancer and some subtypes, including stomach cancer, liver and intrahepatic bile ducts cancer, colorectal cancer, tracheobronchial and lung cancer, and female breast cancer, are respectively 0.99 (0.78-1.26), 1.17 (0.58-2.36), 0.86 (0.40-1.84), 0.85 (0.42-1.73), 1.39 (0.85-2.26) and 0.63 (0.28-1.38). After controlling the impact of alcohol consumption and performing multiple sensitivity analyses, the results were similar. Conclusion: There is no causal relationship between tea consumption and risk of cancer in population in China.
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Affiliation(s)
- C Y Liu
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - S Cheng
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Y J Pang
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - C Q Yu
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - D J Y Sun
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - P Pei
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - J S Chen
- China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - Z M Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom
| | - J Lyu
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - L M Li
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
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13
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Shi KX, Wang X, Yu CQ, Lyu J, Guo Y, Sun DJY, Pei P, Xia QM, Chen JS, Chen ZM, Li LM. [Prospective association between physical activity and mortality in patients with chronic kidney disease]. Zhonghua Liu Xing Bing Xue Za Zhi 2023; 44:720-726. [PMID: 37221059 DOI: 10.3760/cma.j.cn112338-20221025-00906] [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] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
Abstract
Objective: To investigate the prospective association of physical activity with all-cause, cardiovascular disease (CVD), and chronic kidney disease (CKD) mortality in CKD patients in China. Methods: Cox proportional hazard models were used to evaluate the association of total, domain-specific, and intensity-specific physical activity with the risk of all-cause, CVD, and CKD mortality based on data from the baseline survey of China Kadoorie Biobank. Results: During a median follow-up of 11.99 (11.13, 13.03) years, there were 698 deaths in 6 676 CKD patients. Compared with the bottom tertile of total physical activity, participants in the top tertile had a lower risk of all-cause, CVD, and CKD mortality, with hazard ratios (HRs) (95%CIs) of 0.61 (0.47-0.80), 0.40 (0.25-0.65), and 0.25 (0.07-0.85), respectively. Occupational, commuting, and household physical activity were negatively associated with the risk of all-cause and CVD mortality to varying degrees. Participants in the top tertile of occupational physical activity had a lower risk of all-cause (HR=0.56, 95%CI: 0.38-0.82) and CVD (HR=0.39, 95%CI: 0.20-0.74) mortality, those in the top tertile of commuting physical activity had a lower risk of CVD mortality (HR=0.43, 95%CI: 0.22-0.84), and those in the top tertile of household physical activity had a lower risk of all-cause (HR=0.61, 95%CI: 0.45-0.82), CVD (HR=0.44, 95%CI: 0.26-0.76) and CKD (HR=0.03, 95%CI: 0.01-0.17) mortality, compared with the bottom tertile of corresponding physical activity. No association of leisure-time physical activity with mortality was observed. Both low and moderate-vigorous intensity physical activity were negatively associated with the risk of all-cause, CVD and CKD mortality. The corresponding HRs (95%CIs) were 0.64 (0.50-0.82), 0.42 (0.26-0.66) and 0.29 (0.10-0.83) in the top tertile of low intensity physical activity, and the corresponding HRs (95%CIs) were 0.63 (0.48-0.82), 0.39 (0.24-0.64) and 0.23 (0.07-0.73) in the top tertile of moderate-vigorous intensity physical activity. Conclusion: Physical activity can reduce the risk of all-cause, CVD, and CKD mortality in CKD patients.
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Affiliation(s)
- K X Shi
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - X Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - Y Guo
- Fuwai Hospital Chinese Academy of Medical Sciences, National Center for Cardiovascular Diseases, Beijing 100037, China
| | - D J Y Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - P Pei
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - Q M Xia
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - J S Chen
- China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - Z M Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
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Wang X, Shi KX, Yu CQ, Lyu J, Guo Y, Pei P, Xia QM, Du HD, Chen JS, Chen ZM, Li LM. [Prevalence of chronic kidney disease and its association with lifestyle factors in adults from 10 regions of China]. Zhonghua Liu Xing Bing Xue Za Zhi 2023; 44:386-392. [PMID: 36942332 DOI: 10.3760/cma.j.cn112338-20220801-00680] [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] [Subscribe] [Scholar Register] [Indexed: 03/23/2023]
Abstract
Objective: To investigate the distribution of chronic kidney disease (CKD) in participants from the China Kadoorie Biobank (CKB) study and evaluate the association between lifestyle risk factors and CKD. Methods: Based on the baseline survey data and follow-up data (as of December 31, 2018) of the CKB study, the differences in CKD cases' area and population distributions were described. Cox proportional hazards regression model was used to estimate the association between lifestyle risk factors and the risk of CKD. Results: A total of 505 147 participants, 4 920 cases of CKD were recorded in 11.26 year follow up with a incidence rate of 83.43/100 000 person-years. Glomerulonephropathy was the most common type. The incidence of CKD was higher in the urban area, men, and the elderly aged 60 years and above (87.83/100 000 person-years, 86.37/100 000 person-years, and 132.06/100 000 person-years). Current male smokers had an increased risk for CKD compared with non-smokers or occasional smokers (HR=1.18, 95%CI: 1.05-1.31). The non-obese population was used as a control group, both general obesity determined by BMI (HR=1.19, 95%CI: 1.10-1.29) and central obesity determined by waist circumference (HR=1.27, 95%CI: 1.19-1.35) were associated with higher risk for CKD. Conclusion: The risks for CKD varied with area and population in the CKB cohort study, and the risk was influenced by multiple lifestyle factors.
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Affiliation(s)
- X Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191,China
| | - K X Shi
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191,China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191,China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191,China
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191,China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191,China
| | - Y Guo
- Fuwai Hospital, Chinese Academy of Medical Sciences, National Center for Cardiovascular Diseases, Beijing 100037, China
| | - P Pei
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Q M Xia
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - H D Du
- Nuffield Department of Population Health, Center for Clinical and Epidemiological Studies, University of Oxford, Oxford OX3 7LF, UK
| | - J S Chen
- China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - Z M Chen
- Nuffield Department of Population Health, Center for Clinical and Epidemiological Studies, University of Oxford, Oxford OX3 7LF, UK
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191,China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191,China
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15
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Zou YH, Li MY, Zhang YY, Chen ZM. [Progress in detection of Mycoplasma pneumoniae infection]. Zhonghua Er Ke Za Zhi 2023; 61:274-277. [PMID: 36849359 DOI: 10.3760/cma.j.cn112140-20220802-00694] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Subscribe] [Scholar Register] [Indexed: 03/01/2023]
Affiliation(s)
- Y H Zou
- Department of Pulmonology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - M Y Li
- Department of Pulmonology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - Y Y Zhang
- Department of Pulmonology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - Z M Chen
- Department of Pulmonology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
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16
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Zhu YQ, Fan JN, Yu CQ, Lyu J, Guo Y, Pei P, Xia QM, Du HD, Chen YP, Chen JS, Chen ZM, Li LM. [Correlation between sleep status and frailty in adults aged 30-79 years in China]. Zhonghua Liu Xing Bing Xue Za Zhi 2022; 43:1349-1356. [PMID: 36117338 DOI: 10.3760/cma.j.cn112338-20220110-00018] [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] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Objective: To explore the correlation between sleep status and frailty in adults aged 30-79 years in China, and explore the potential effect modification of general and central obesity. Methods: Based on the baseline data of the China Kadoorie Biobank, we used multinomial logistic regression to analyze the correlation between long and short sleep duration, insomnia disorder, snoring, and unhealthy sleep score with risks of pre-frailty and frailty. Both overall and obesity-stratified analyses were performed. Result: Among the 512 724 participants, 2.3% had frailty and 40.1% had pre-frailty. There was a U-shaped relationship between sleep duration and frailty score. Short (OR=1.21, 95%CI: 1.19-1.23) or long sleep duration (OR=1.19, 95%CI: 1.17-1.21), insomnia disorder (OR=2.09, 95%CI: 2.02-2.17), and snoring (OR=1.61, 95%CI: 1.59-1.63) were all positively correlated with pre-frailty, and dose-response relationships were observed between unhealthy sleep score and pre-frailty (P for trend<0.001), with OR values of 1.46 (1.44-1.48), 1.97 (1.93-2.00) and 3.43 (3.21-3.67) respectively for those having unhealthy sleep score of 1 to 3. These sleep problems were also positively correlated with frailty. Compared with the overweight or obesity group, stronger relationships were observed between short sleep duration and frailty or pre-frailty and between insomnia disorder and pre-frailty, while the relationships between snoring and frailty and pre-frailty were weaker in the participants with normal weight (P for interaction <0.007 for all). We also observed similar effect modification by central obesity. Conclusion: Long or short sleep duration, insomnia disorder, snoring and higher unhealthy sleep scores were positively correlated with pre-frailty or frailty, general and central obesity status could modify the relationships.
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Affiliation(s)
- Y Q Zhu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - J N Fan
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - Y Guo
- Fuwai Hospital, Chinese Academy of Medical Sciences, National Center for Cardiovascular Diseases, Beijing 100037, China
| | - P Pei
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Q M Xia
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - H D Du
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford OX3 7LF, UK Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Y P Chen
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford OX3 7LF, UK Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - J S Chen
- China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - Z M Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
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17
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Xiao JY, He J, Huang SM, Chen ZM. [Progress in application of metabolomics in childhood bronchial asthma]. Zhonghua Er Ke Za Zhi 2022; 60:960-963. [PMID: 36038313 DOI: 10.3760/cma.j.cn112140-20220613-00546] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Affiliation(s)
- J Y Xiao
- Department of Pulmonology, Hangzhou Children's Hospital, Hangzhou 310014, China
| | - J He
- Department of Pulmonology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - S M Huang
- Department of Pulmonology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - Z M Chen
- Department of Pulmonology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
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18
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Chen L, Si JH, Sun DJY, Yu CQ, Guo Y, Pei P, Chen JS, Chen ZM, Lyu J, Li L. [Association of lifestyle and cardiometabolic risk factors with epigenetic age acceleration in adults in China]. Zhonghua Liu Xing Bing Xue Za Zhi 2022; 43:1019-1029. [PMID: 35856194 DOI: 10.3760/cma.j.cn112338-20211020-00806] [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: 06/15/2023]
Abstract
Objective: To explore the association of lifestyle and cardiometabolic risk factors with five epigenetic age acceleration (AA) indices. Methods: This study included 980 participants of China Kadoorie Biobank, for whom genome-wide DNA methylation of peripheral blood cells had been detected in baseline survey. Five indices of DNA methylation age (DNAm age) were calculated, i.e. Horvath clock, Hannum clock, DNAm PhenoAge, GrimAge and Li clock. Epigenetic AA was defined as the residual of regressing DNAm age on chronological age. Lifestyle factors studied included smoking status, alcohol consumption, eating habits, physical activity level and body shape defined by a combination of BMI and waist circumference. Cardiometabolic risk factors included blood pressure, blood glucose level and total cholesterol level. Linear regression model was used to analyze the association of lifestyle and cardiometabolic risk factors with AA (β). Results: GrimAge_AA was associated with smoking status, alcohol consumption, physical activity level and BMI. Compared with non-smokers, non-drinkers, or participants with BMI of 18.5- 23.9 kg/m2, the smokers who smoked 1-14 cigarettes/day (β=0.71, 95%CI: 0.57-0.86), 15-24 cigarettes/day (β=0.88, 95%CI: 0.73-1.03), and ≥25 cigarettes/day (β=0.99, 95%CI: 0.81-1.18), respectively, heavy drinkers with daily pure alcohol consumption ≥60 g (β=0.33, 95%CI: 0.11-0.55) and participants with BMI<18.5 kg/m2 (β=0.23, 95%CI: 0.03-0.43) showed accelerated aging. Compared with those in the lowest quintile of physical activity level, participants in the top three quintile of physical activity level showed decelerated aging (β=-0.13, 95%CI: -0.26-0.01, β=-0.12, 95%CI: -0.26-0.02, and β=-0.14, 95%CI: -0.27- -0.00, respectively). GrimAge_AA decreased with the increase of the number of healthy lifestyle factors (P<0.001). Compared with the participants with 0 to 1 healthy lifestyle factor, the β of those with 2, 3, or 4 to 5 healthy lifestyle factors were -0.30 (95%CI: -0.47- -0.12), -0.47 (95%CI: -0.65- -0.30) and -0.72 (95%CI: -0.90- -0.53), respectively. The other four indices were not statistically significantly associated with most lifestyle factors. None of the five indices of AA was associated with blood pressure, blood glucose level or total cholesterol level. Conclusion: People with unhealthy lifestyle showed accelerated epigenetic aging, that is, the predicted DNAm age is older than their own chronological age.
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Affiliation(s)
- L Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - J H Si
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - D J Y Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - Y Guo
- Fuwai Hospital, Chinese Academy of Medical Sciences, National Center for Cardiovascular Diseases, Beijing 100037, China
| | - P Pei
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - J S Chen
- China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - Z M Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing 100191, China
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
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19
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Wang H, Zhang YQ, Yu CQ, Guo Y, Pei P, Chen JS, Chen ZM, Lyu J, Li L. [Associations between sleep status and risk for kidney stones in Chinese adults: a prospective cohort study]. Zhonghua Liu Xing Bing Xue Za Zhi 2022; 43:1002-1009. [PMID: 35856192 DOI: 10.3760/cma.j.cn112338-20210930-00760] [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] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Objective: To analyze the associations between sleep status and the risk for kidney stone in Chinese adults. Methods: This study used baseline and long-term follow-up data of China Kadoorie Biobank. After excluding those with self-reporting of diagnosed chronic kidney disease and cancer and those with extreme values of sleep duration at baseline survey, 501 701 participants were included in this study. The information about their sleep status were collected, including insomnia symptoms, daytime sleepiness, nap habit, snoring and sleep duration. The sleep score was constructed based on insomnia symptoms, daytime sleepiness, and sleep duration, ranging from 0 to 3. Cox proportional hazards regression models were used to evaluate the association of sleep status with the risk for kidney stone, including individual sleep factors and combined sleep score. Results: During the follow-up for average (10.7±2.2) years, 12 381 cases of kidney stone were recorded for the first time. Compared with participants without insomnia symptoms, the multivariable-adjusted HR of kidney stone in those with difficulty falling asleep and waking up early were 1.12 (95%CI: 1.06-1.18) and 1.06 (95%CI: 1.00-1.12), respectively. There was no statistically significant association of kidney stone risk with sleeping pill use, daytime sleepiness, nap habit, or snoring. Compared with participants with sleep duration ≥7 hours per day, the HR of kidney stone in those with sleep duration <7 hours per day was 1.13 (95%CI: 1.08-1.18). Compared with participants with sleep score of 3 (highest sleep quality), the HR of kidney stone in those with sleep score of 2, 1, and 0 were 1.08 (95%CI: 1.03-1.13), 1.16 (95%CI: 1.10-1.23), and 1.19 (95%CI: 1.03-1.37), respectively. Conclusion: In China, adults with insomnia symptoms or short sleep duration have increased risk for kidney stone.
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Affiliation(s)
- H Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Y Q Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - Y Guo
- Fuwai Hospital, Chinese Academy of Medical Sciences, National Center for Cardiovascular Diseases, Beijing 100037, China
| | - P Pei
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - J S Chen
- China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - Z M Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing 100191, China
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
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Wang YQ, Xiao M, Lyu J, Yu CQ, Guo Y, Pei P, Chen JS, Chen ZM, Sun DJY, Li L. [A prospective cohort study of premature death and influencing factors in adults aged 56-69 years from 10 regions of China]. Zhonghua Liu Xing Bing Xue Za Zhi 2022; 43:1010-1018. [PMID: 35856193 DOI: 10.3760/cma.j.cn112338-20211210-00968] [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: 06/15/2023]
Abstract
Objective: To describe and analyze the epidemiological characteristics of premature death (death before age of 70 years) and related risk factors in approximate 100 000 adults recruited from 10 regions of China during a 10-year follow-up. Methods: Data, including demographic characteristics, lifestyle and physical indicators as well as health outcomes as of December 31, 2017, were obtained from baseline survey and long-term follow-up of the China Kadoorie Biobank (CKB) study. All-cause and cause-specific premature death in different areas, in men and women and in people with different lifestyles were analyzed. Cox proportional risk model was used to analyze the associations between baseline factors and premature death. Results: A total of 99 993 participants aged 56-69 years were included in the study. During 10 years of follow-up, 7 530 premature deaths were recorded and the premature death rate was 7.15 per 1 000 person-years. The main causes of premature death were cancer and cardiovascular and cerebrovascular diseases. The premature mortality rate was higher in rural areas, in northern region and in men, and decreased with age (P<0.05). Premature death was more likely to occur in smokers, and a dose-response relationship was observed. Compared with non-drinkers, the risk for premature death was higher in ex-drinkers (HR: 1.25 [95%CI:1.16-1.36]) and heavy drinkers (average alcohol consumption ≥60 g/d) (HR: 1.20 [95%CI:1.08-1.34]). The risk for premature death decreased with the increase of physical activity. Low body weight and central obesity were independently associated with increased risk for premature death (HR: 1.67 [95%CI:1.55-1.81] and 1.13 [95%CI:1.05-1.21], respectively). Conclusions: The main causes of premature death in adults aged 56-69 years in China during 10-year follow-up were cancer and cardiovascular and cerebrovascular diseases. The premature mortality rate varied with socioeconomic and demographic characteristics. The risk for premature death was influenced by multi factors, such as lifestyle and physical conditions.
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Affiliation(s)
- Y Q Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - M Xiao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing 100191, China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - Y Guo
- Fuwai Hospital, Chinese Academy of Medical Sciences, National Center for Cardiovascular Diseases, Beijing 100037, China
| | - P Pei
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - J S Chen
- China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - Z M Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - D J Y Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
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21
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Wang WX, Huang NH, Lyu J, Yu CQ, Guo Y, Pei P, Du HD, Chen JS, Chen ZM, Huang T, Li L. [Association between genetic predisposition to childhood obesity and the risk of adult ischemic heart disease in China]. Zhonghua Liu Xing Bing Xue Za Zhi 2022; 43:445-451. [PMID: 35443296 DOI: 10.3760/cma.j.cn112338-20210413-00309] [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] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Objective: To examine the associations of childhood obesity, assessed by genetic variations of childhood body mass index (BMI), with the risk of adult ischemic heart disease (IHD) and major coronary event (MCE). Methods: More than 69 000 participants from the China Kadoorie Biobank were genotyped. After excluding those with coronary heart disease, stroke, or cancer at baseline, a total of 64 454 participants were included in this study. Based on genome-wide significant single nucleotide polymorphisms (SNPs), childhood BMI genetic risk score were constructed for every participant and divided into quintiles, with the lowest quintile as the low genetic risk group and the highest quintile as the high genetic risk group. Cox proportional hazards regression models were used to estimate the association between genetic predisposition to childhood obesity and the risk of ischemic heart disease. Results: During a median of 10.7 years of follow-up, 7 073 incident cases of IHD and 1 845 cases of MCE were documented. After adjusting for sex, age, region, and the first ten genetic principal components, the HRs (95%CIs) for IHD and MCE in the high genetic risk group were 1.10 (1.02-1.18) and 1.10 (0.95-1.27), compared with the low genetic risk group. IHD risk increased by 4% (2%-6%) for each one standard deviation increase in genetic risk score (trend P=0.001). After further adjustment for baseline BMI, the differences between genetic risk groups were not statistically significant, but there was still a linear trend between genetic risk score and IHD risk (trend P=0.019). Conclusions: IHD risk increased with genetic predisposition to childhood obesity, suggesting that childhood obesity is an important risk factor for the development of IHD in China. As an easily identifiable feature, changes of childhood BMI should be monitored regularly to realize early intervention of IHD in adults.
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Affiliation(s)
- W X Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Beijing 100191, China
| | - N H Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Beijing 100191, China
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Beijing 100191, China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - Y Guo
- Fuwai Hospital Chinese Academy of Medical Sciences, National Center for Cardiovascular Diseases, Beijing 100037, China
| | - P Pei
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - H D Du
- Medical Research Council Population Health Research Unit/Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - J S Chen
- China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - Z M Chen
- Medical Research Council Population Health Research Unit/Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - T Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Beijing 100191, China
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
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22
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Liu HM, Fu Z, Zhang XB, Zhang HL, Bao YX, Wu XD, Shang YX, Zhao DY, Zhao SY, Zhang JH, Chen ZM, Liu EM, Deng L, Liu CH, Xiang L, Cao L, Zou YX, Xu BP, Dong XY, Yin Y, Hao CL, Hong JG. [Expert consensus on rational usage of nebulization treatment on childhood respiratory system diseases]. Zhonghua Er Ke Za Zhi 2022; 60:283-290. [PMID: 35385931 DOI: 10.3760/cma.j.cn112140-20220118-00059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Affiliation(s)
- H M Liu
- Department of Pediatric Pulmonology and Immunology, West China Second University Hospital, Sichuan University, Chengdu 610041, China
| | - Z Fu
- Department of Respiratory, Children's Hospital of Chongqing Medical University, Chongqing 400014, China
| | - X B Zhang
- Department of Respiratory Disease, Children's Hospital of Fudan University, Shanghai 201102, China
| | - H L Zhang
- Department of Pediatric Respiratory Medicine, the Second Affiliated Hospital & Yuying Children's Hospital of Wenzhou Medical University, Wenzhou 325027, China
| | - Y X Bao
- Tongxing Children's Clinic, Shanghai 200433, China
| | - X D Wu
- Department of Respiratory,Xiamen Children's Hospital (Children's Hospital of Fudan University at Xiamen), Xiamen 361006, China
| | - Y X Shang
- Department of Pediatric Pulmonology, Shengjing Hospital of China Medical University, Shenyang 110136, China
| | - D Y Zhao
- Department of Respiratory Medicine, Children's Hospital of Nanjing Medical University, Nanjing 210008, China
| | - S Y Zhao
- Department No.2 of Respiratory Medicine, Beijing Children's Hospital, Capital Medical University, Beijing 100045, China
| | - J H Zhang
- Department of Pediatric Respiratory, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
| | - Z M Chen
- Department of Pulmonology, the Children's Hospital, Zhejiang University School of Medicine, Hangzhou 310052, China
| | - E M Liu
- Department of Respiratory, Children's Hospital of Chongqing Medical University, Chongqing 400014, China
| | - L Deng
- Department of Respiratory,Guangzhou Women and Children's Medical Center, Guangzhou 510623, China
| | - C H Liu
- Department of Allergy,Children's Hospital Capital Institute of Pediatrics, Beijing 100020, China
| | - L Xiang
- Department of Allergic Medicine, Beijing Children's Hospital, Capital Medical University, Beijing 100045, China
| | - L Cao
- Department of Allergy,Children's Hospital Capital Institute of Pediatrics, Beijing 100020, China
| | - Y X Zou
- Department of Respiratory, Tianjin Children's Hospital, Tianjin 300134, China
| | - B P Xu
- Department of Respiratory Medicine, Beijing Children's Hospital, Capital Medical University, Beijing 100045, China
| | - X Y Dong
- Department of Pulmonology, Shanghai Children's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200062, China
| | - Y Yin
- Department of Respiratory Medicine, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai 200062, China
| | - C L Hao
- Department of Respiratory,Children's Hospital of Soochow University, Suzhou 215002, China
| | - J G Hong
- Department of Pediatrics, Shanghai First People's Hospital, Shanghai Jiao Tong University, Shanghai 200080, China
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Nie J, Chen L, Yu CQ, Guo Y, Pei P, Chen JS, Chen ZM, Lyu J, Li L. [Association between tea consumption and all-cause mortality in Chinese adults]. Zhonghua Liu Xing Bing Xue Za Zhi 2022; 43:145-153. [PMID: 35184477 DOI: 10.3760/cma.j.cn112338-20201201-01369] [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: 06/14/2023]
Abstract
Objective: To investigate the association between tea consumption and the risk of all-cause and cause-specific mortality among Chinese adults. Methods: This study was based on China Kadoorie Biobank (CKB). Tea consumption information was self-reported by participants at baseline. Death was mainly identified by linkage to the death registry system. Cox proportional hazard regression models estimated HR and 95%CI. Results: With a median follow-up of 11.1 years, there were 34 661 deaths in 438 443 participants. Compared with those who never drink tea, all-cause mortality HR(95%CI) were 0.89(0.86-0.91) and 0.92(0.88-0.95) for non-daily tea drinkers and daily tea drinkers, respectively. A statistically significant difference was found in the association of tea consumption and the risk of all-cause mortality between men and women(interaction P<0.05). The protective effect was mainly seen in men. Compared with those who never drink tea, daily tea drinkers had a reduced risk of death from ischemic heart disease, ischemic stroke, hemorrhagic stroke, cancer, respiration diseases and other causes of death, and the corresponding HR(95%CI) were 0.83(0.76-0.92), 0.82(0.69-0.97), 0.86(0.78-0.94), 1.03(0.97-1.09), 1.00(0.87-1.16), 0.84(0.78-0.90). Among never smokers and non-excessive drinkers, there was no statistically significant association between daily tea drinking and the risk of death from cancer. While smokers and excessive drinkers had an increased risk of death from cancer (interaction P<0.001). Conclusions: Tea consumers had reduced risks of all-cause mortality and partial cause-specific mortality, but not for the risk of death from cancer. On the contrary, daily tea drinkers with smoking habits and excessive alcohol drinking had an increased risk of death from cancer.
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Affiliation(s)
- J Nie
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness and Response/Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education,Beijing 100191, China
| | - L Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness and Response/Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education,Beijing 100191, China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness and Response/Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education,Beijing 100191, China
| | - Y Guo
- Fuwai Hospital Chinese Academy of Medical Sciences, National Center for Cardiovascular Diseases, Beijing 100037, China
| | - P Pei
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - J S Chen
- China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - Z M Chen
- Nuffield Department of Population Health, Center for Clinical and Epidemiological Studies/Population Health Research Unit, Medical Research Council, University of Oxford, Oxford OX3 7LF, UK
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness and Response/Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education,Beijing 100191, China
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness and Response/Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education,Beijing 100191, China
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Wang H, Fan JN, Yu CQ, Guo Y, Pei P, Chen JS, Chen ZM, Lyu J, Li L. [Associations of body mass index and waist circumference with hospitalization risk of kidney stones in Chinese adults]. Zhonghua Liu Xing Bing Xue Za Zhi 2022; 43:154-161. [PMID: 35184478 DOI: 10.3760/cma.j.cn112338-20210311-00201] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/15/2023]
Abstract
Objective: To evaluate the associations of body mass index (BMI) and waist circumference with hospitalization risk of kidney stones in Chinese adults. Methods: This study used long-term follow-up data from China Kadoorie Biobank. After excluding participants with chronic kidney disease, cancer, and extreme BMI or waist circumference values at baseline, 502 096 participants were included in the present analysis. Cox proportional hazards regression models were used to estimate the associations of BMI and waist circumference with hospitalization risk of kidney stones. Results: During an average follow-up period of (10.7±2.2) years, 12 396 participants were hospitalized for the first time with kidney stones. Using the participants with BMI (kg/m2) of 20.5-22.4 as reference, the multivariable-adjusted HR (95%CI) for those with BMI of <18.5, 18.5-20.4, 22.5-23.9, 24.0-25.9, 26.0-27.9, 28.0-29.9, and ≥30.0 were 0.96 (0.87-1.05), 0.94 (0.88-1.00), 1.11 (1.05-1.17), 1.25 (1.18-1.32), 1.29 (1.21-1.37), 1.39 (1.28-1.50), and 1.54 (1.40-1.71), respectively. For every 1 kg/m2 increase in BMI, the HR of kidney stones hospitalization increased by 4% (HR=1.04, 95%CI: 1.04-1.05). Using the participants with waist circumference (cm) of 75.0-79.9 as reference, the multivariable-adjusted HR (95%CI) for those with waist circumference of <65.0, 65.0-69.9, 70.0-74.9, 80.0-84.9, 85.0-89.9, 90.0-94.9, and ≥95.0 were 0.82 (0.74-0.91), 0.85 (0.80-0.92), 0.95 (0.89-1.00), 1.16 (1.09-1.22), 1.22 (1.15-1.30), 1.28 (1.19-1.38), and 1.46 (1.35-1.58), respectively. For every 5 cm increase in waist circumference, the HR of kidney stones hospitalization increased by 9% (HR=1.09, 95%CI: 1.08-1.10). After mutually adjusting for BMI and waist circumference in the above models, the association between BMI and hospitalization risk of kidney stones disappeared. In contrast, the association between waist circumference and hospitalization risk of kidney stones remained unchanged. Conclusions: BMI and waist circumference were positively associated with hospitalization risk of kidney stones. The increased waist circumference was an independent risk factor for kidney stones among Chinese adults.
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Affiliation(s)
- H Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness and Response/Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing 100191, China
| | - J N Fan
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness and Response/Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing 100191, China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness and Response/Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing 100191, China
| | - Y Guo
- Fuwai Hospital Chinese Academy of Medical Sciences, National Center for Cardiovascular Diseases, Beijing 100037, China
| | - P Pei
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - J S Chen
- China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - Z M Chen
- Nuffield Department of Population Health, Center for Clinical and Epidemiological Studies/Population Health Research Unit, Medical Research Council , University of Oxford, Oxford OX3 7LF, UK
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness and Response/Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing 100191, China
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness and Response/Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing 100191, China
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25
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Zhou TY, Su J, Zhou JY, Tao R, Lu Y, Hua YJ, Jin JR, Guo Y, Lyu J, Chen ZM, Li LM, Wu M. [Mediating effect of physical activity on association between sedentary leisure-time and obesity indexes among hypertensive individuals]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:2125-2130. [PMID: 34954975 DOI: 10.3760/cma.j.cn112338-20210112-00031] [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] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Objective: To explore the mediating effect of physical activity on association between sedentary leisure-time and obesity indexes among hypertensive individuals. Methods: After excluding of those with a prior history of heart disease, stroke and cancer, a total of 20 178 hypertensive participants in the China Kadooire Biobank (CKB) study from Wuzhong district of Suzhou city were included. Mediating effect analysis was used to analyze the mediating effect of physical activity (PA) on correlation between sedentary leisure-time and body fat percentage (BFP), waist circumference (WC) and body mass index (BMI). Results: After adjusted for age, gender, smoking status, alcohol consumption, education levels, intake frequencies of meat and intake frequencies of fresh fruit, sedentary leisure-time (SLT) was negatively correlated with PA (β=-0.246, P<0.001), but positively associated with BFP (β=0.061, P<0.001), WC (β=0.087, P<0.001) and BMI (β=0.071, P<0.001). After including the mediator variable PA, the direct effect of SLT on obesity index was still significant. PA was negatively correlated with BFP, WC and BMI (β=-0.052, -0.083 and -0.028, respectively, P<0.001). Analysis of mediating effect indicated that the association of SLT with BFP, WC and BMI were partly mediated by PA, the proportion of mediating effect was 20.820%, 23.421% and 9.915%. Stratified by gender, PA had mediating effect on SLT and all obesity indexes in women, while only on SLT and BFP and WC in men. Conclusions: There is a significant mediating effect of PA on correlation between SLT and obesity indexes among hypertensive individuals. Hypertensive patients should increase the level of physical activity and reduce sedentary behavior to achieve a profounder healthy effect.
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Affiliation(s)
- T Y Zhou
- Changzhou Center for Disease Control and Prevention, Changzhou 213000, China Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - J Su
- Department of Non-communicable Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - J Y Zhou
- Department of Non-communicable Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - R Tao
- Department of Non-communicable Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - Y Lu
- Department of Non-communicable Chronic Disease Control, Suzhou Center for Disease Control and Prevention, Suzhou 215004, China
| | - Y J Hua
- Department of Non-communicable Chronic Disease Control, Suzhou Center for Disease Control and Prevention, Suzhou 215004, China
| | - J R Jin
- Wuzhong Center for Disease Control and Prevention, Suzhou 215100, China
| | - Y Guo
- Department of China Kadoorie Biobank, Chinese Academy of Medical Sciences, Beijing 102308, China
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - Z M Chen
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - M Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China Department of Non-communicable Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
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Zhang CC, Chen ZM, Chen H. Skin abscesses, X-linked agammaglobulinaemia and spastic paraplegias in a male patient. Clin Exp Dermatol 2021; 47:617-619. [PMID: 34773274 DOI: 10.1111/ced.15013] [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] [Received: 10/03/2021] [Revised: 11/07/2021] [Accepted: 11/08/2021] [Indexed: 11/30/2022]
Abstract
We report a patient with X-linked agammaglobulinaemia and spastic paraplegias who developed skin abscesses. We highlight that dermatologists should consider the possibility of primary immunodeficiency when patients present with repeated skin infections, and should advise patients to be particularly careful about skin hygiene and avoid scratching.
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Affiliation(s)
- C C Zhang
- Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China
| | - Z M Chen
- Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China
| | - H Chen
- Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China
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27
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Wen QR, Wu M, Liu Q, Lyu J, Guo Y, Bian Z, Pei P, Du HD, Chen JS, Yu CQ, Chen ZM, Li LM. [Correlation between chronic diseases and low muscle mass, strength and quality in adults in China]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:1948-1954. [PMID: 34818839 DOI: 10.3760/cma.j.cn112338-20200910-01146] [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: 06/13/2023]
Abstract
Objective: To explore the correlation between chronic diseases and muscle mass, strength and quality in adults in China. Methods: Based on the second resurvey of China Kadoorie Biobank (CKB) in 2013-2014, logistic regression models were used to analyze the correlation of different types, number and duration of chronic diseases with low muscle mass, handgrip strength and muscle quality. Results: The prevalence rate of diabetes, coronary heart disease (CHD), stroke and chronic obstructive pulmonary disease (COPD) were 9.6%, 5.8%, 3.2% and 26.8%, respectively, and 38.8% of the participants had at least one disease, and they were more likely to have low handgrip strength and low arm muscle quality (AMQ), and the longer the chronic diseases duration, the higher the risk. The ORs (95%CIs) for low handgrip strength and low AMQ in patients with 1 chronic disease for more than 10 years was 1.64 (1.42-1.90) and 1.83 (1.60-2.10), respectively. The ORs (95%CIs) for low handgrip strength were 1.26 (1.17-1.37), 1.42 (1.23-1.64) and 2.27 (1.55-3.32) and the ORs (95%CIs) for low AMQ were 1.28 (1.18-1.38), 1.67 (1.46-1.92) and 2.41(1.69-3.45), respectively, in patients with 1, 2, ≥3 chronic diseases, the correlation showed a linear trend (P for trend <0.001). Diabetes, CHD and stroke were positively correlated with low handgrip strength and low AMQ. Compared with participants without COPD, COPD patients were more likely to have low appendicular skeletal muscle mass index (ASMI), low total skeletal muscle mass index (TSMI) and low handgrip strength, and the risk was positively correlated with disease duration. Conclusions: Patients with chronic diseases were more likely to have lower muscle strength and muscle quality, especially the patients with multi diseases and longer disease duration. The proportion of low handgrip strength and low AMQ was higher in patients who reported multi-prevalence and longer duration of chronic diseases.
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Affiliation(s)
- Q R Wen
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - M Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Q Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Y Guo
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Z Bian
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - P Pei
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - H D Du
- Nuffield Department of Population Health, Center for Clinical and Epidemiological Studies, University of Oxford, Oxford OX3 7LF, UK
| | - J S Chen
- China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Z M Chen
- Nuffield Department of Population Health, Center for Clinical and Epidemiological Studies, University of Oxford, Oxford OX3 7LF, UK
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
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28
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Ye B, Wu XL, Huang MX, Tang LF, Zhang YY, Chen ZM. [Pulmonary vascular associated plastic bronchitis in children with hemoptysis]. Zhonghua Er Ke Za Zhi 2021; 59:976-978. [PMID: 34711035 DOI: 10.3760/cma.j.cn112140-20210319-00232] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- B Ye
- Department of Pulmonology, the Children's Hospital, Zhejiang University School of Medicine, Hangzhou 310052, China
| | - X L Wu
- Department of Pulmonology, the Children's Hospital, Zhejiang University School of Medicine, Hangzhou 310052, China
| | - M X Huang
- Department of Pulmonology, the Children's Hospital, Zhejiang University School of Medicine, Hangzhou 310052, China
| | - L F Tang
- Department of Pulmonology, the Children's Hospital, Zhejiang University School of Medicine, Hangzhou 310052, China
| | - Y Y Zhang
- Department of Cardiology, the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - Z M Chen
- Department of Pulmonology, the Children's Hospital, Zhejiang University School of Medicine, Hangzhou 310052, China
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29
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Zhou YL, Liu JR, Yi QW, Chen LN, Han ZY, Xu CD, Liu SY, Hao CL, Liu J, Li QL, Wang LJ, Wang C, Che GH, Zhang YY, Tong L, Liu YQ, Zhao SY, Zheng YJ, Li S, Liu HM, Chang J, Zhao DY, Zou YX, Zhang XX, Nong GM, Zhang HL, Pan JL, Chen YN, Dong XY, Zhang YF, Wang YS, Yang DH, Lu Q, Chen ZM. [A multicenter retrospective study on the etiology of necrotizing pneumonia in children]. Zhonghua Er Ke Za Zhi 2021; 59:658-664. [PMID: 34333918 DOI: 10.3760/cma.j.cn112140-20210126-00072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the etiology of necrotizing pneumonia (NP) in children and the clinical characteristics of NP caused by different pathogens in China. Methods: A retrospective, case-control study was performed in children with NP who were admitted to 13 hospitals in China from January 2008 to December 2019. The demographic and clinical information, laboratory data, etiological and radiological findings were analyzed. The data were divided into three groups based on the following years: 2008-2011, 2012-2015 and 2016-2019, and the distribution characteristics of the pathogens in different period were compared. Meanwhile, the pathogens of pediatric NP in the southern and northern China were compared. And the clinical characteristics of the Mycoplasma pneumoniae (MP) NP and the bacterial NP were also compared. T-test or Mann-Whitney nonparametric test was used for comparison of numerical variables, and χ2 test was used for categorical variables. Results: A total of 494 children with NP were enrolled, the median ages were 4.7 (0.1-15.3) years, including 272 boys and 222 girls. Among these patients, pathogens were identified in 347 cases and the pathogen was unclear in the remaining 147 cases. The main pathogens were MP (238 cases), Streptococcus pneumoniae (SP) (61 cases), Staphylococcus aureus (SA) (51 cases), Pseudomonas aeruginosa (13 cases), Haemophilus influenzae (10 cases), adenovirus (10 cases), and influenza virus A (7 cases), respectively. MP was the most common pathogen in all three periods and the proportion increased yearly. The proportion of MP in 2016-2019 was significantly higher than that in 2012-2015 (52.1% (197/378) vs. 36.8% (32/87), χ2=6.654, P=0.010), while there was no significant difference in the proportion of MP in 2012-2015 and that in 2008-2011 (36.8% (32/87) vs. 31.0% (9/29), χ²=0.314, P=0.575).Regarding the regional distribution, 342 cases were in the southern China and 152 in the northern China. Also, MP was the most common pathogen in both regions, but the proportion of MP was higher and the proportion of SP was lower in the north than those in the south (60.5% (92/152) vs. 42.7% (146/342), χ2=13.409, P<0.010; 7.9% (12/152) vs. 14.3% (49/342), χ2=4.023, P=0.045). Comparing the clinical characteristics of different pathogens, we found that fever and cough were the common symptoms in both single MP and single bacterial groups, but chest pain was more common (17.0% (34/200) vs. 6.1% (6/98), χ2=6.697, P=0.010) while shortness of breath and wheezing were less common in MP group (16.0% (32/200) vs. 60.2% (59/98), χ2=60.688, P<0.01; 4.5% (9/200) vs. 21.4% (21/98), χ2=20.819, P<0.01, respectively). The white blood cell count, C-reactive protein and procalcitonin in the bacterial group were significantly higher than those in the MP group (14.7 (1.0-67.1)×109/L vs. 10.5 (2.5-32.2)×109/L, 122.5 (0.5-277.3) mg/L vs. 51.4 (0.5-200.0) g/L, 2.13 (0.05-100.00) μg/L vs. 0.24 (0.01-18.85) μg/L, Z=-3.719, -5.901 and -7.765, all P<0.01). Conclusions: The prevalence of pediatric NP in China shows an increasing trend during the past years. MP, SP and SA are the main pathogens of NP, and the most common clinical symptoms are fever and cough. The WBC count, C-reactive protein and procalcitonin in bacterial NP are significantly higher than those caused by MP.
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Affiliation(s)
- Y L Zhou
- Department of Pulmonology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - J R Liu
- Department No.2 of Respiratory Medicine, Beijing Children's Hospital, Capital Medical University, Beijing 100045, China
| | - Q W Yi
- Department of Pulmonology, Shenzhen Children's Hospital, Shenzhen 518038, China
| | - L N Chen
- Division of Pediatric Pulmonology and Immunology, West China Second University Hospital, Sichuan University, Chengdu 610041, China
| | - Z Y Han
- Department of Pulmonology, Children's Hospital of Shanxi Province, Taiyuan 030013, China
| | - C D Xu
- Department of Pulmonology, Children's Hospital of Nanjing Medical University, Nanjing 210019, China
| | - S Y Liu
- Department of the Second Respiratory, Tianjin Children's Hospital, Tianjin 300074, China
| | - C L Hao
- Department of Pulmonology, Children's Hospital of Soochow University, Suzhou 215003, China
| | - J Liu
- Department of Pediatrics, the First Affiliated Hospital of Guangxi Medical University, Nanning 530021, China
| | - Q L Li
- Department of Pediatric Respiratory Disease, the Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou 325027, China
| | - L J Wang
- First Department of Respiratory Medicine, Xi'an Children's Hospital, Xi'an 710003, China
| | - C Wang
- Department of Respiratory, Shanghai Children's Hospital, Shanghai Jiao Tong University, Shanghai 200062, China
| | - G H Che
- Department of Pediatrics, Second Affiliated Hospital of Jilin University, Changchun 130000, China
| | - Y Y Zhang
- Department of Pulmonology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - L Tong
- Department of Pulmonology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - Y Q Liu
- Department No.2 of Respiratory Medicine, Beijing Children's Hospital, Capital Medical University, Beijing 100045, China
| | - S Y Zhao
- Department No.2 of Respiratory Medicine, Beijing Children's Hospital, Capital Medical University, Beijing 100045, China
| | - Y J Zheng
- Department of Pulmonology, Shenzhen Children's Hospital, Shenzhen 518038, China
| | - S Li
- Division of Pediatric Pulmonology and Immunology, West China Second University Hospital, Sichuan University, Chengdu 610041, China
| | - H M Liu
- Division of Pediatric Pulmonology and Immunology, West China Second University Hospital, Sichuan University, Chengdu 610041, China
| | - J Chang
- Department of Pulmonology, Children's Hospital of Shanxi Province, Taiyuan 030013, China
| | - D Y Zhao
- Department of Pulmonology, Children's Hospital of Nanjing Medical University, Nanjing 210019, China
| | - Y X Zou
- Department of the Second Respiratory, Tianjin Children's Hospital, Tianjin 300074, China
| | - X X Zhang
- Department of Pulmonology, Children's Hospital of Soochow University, Suzhou 215003, China
| | - G M Nong
- Department of Pediatrics, the First Affiliated Hospital of Guangxi Medical University, Nanning 530021, China
| | - H L Zhang
- Department of Pediatric Respiratory Disease, the Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou 325027, China
| | - J L Pan
- First Department of Respiratory Medicine, Xi'an Children's Hospital, Xi'an 710003, China
| | - Y N Chen
- First Department of Respiratory Medicine, Xi'an Children's Hospital, Xi'an 710003, China
| | - X Y Dong
- Department of Respiratory, Shanghai Children's Hospital, Shanghai Jiao Tong University, Shanghai 200062, China
| | - Y F Zhang
- Department of Pediatrics, Second Affiliated Hospital of Jilin University, Changchun 130000, China
| | - Y S Wang
- Department of Pulmonology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - D H Yang
- Department of Pulmonology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - Q Lu
- Department of Respiratory, Shanghai Children's Hospital, Shanghai Jiao Tong University, Shanghai 200062, China
| | - Z M Chen
- Department of Pulmonology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
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30
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Fan JN, Sun ZJ, Yu CQ, Guo Y, Sun DJY, Pei P, Du HD, Chen JS, Chen ZM, Lyu J, Li LM. [Comparison of Fried phenotype and frailty index and their associations with risk of mortality]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:1179-1187. [PMID: 34814528 DOI: 10.3760/cma.j.cn112338-20210310-00192] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Objective: To compare the consistency of frailty status measured by Fried phenotype and frailty index composed of different numbers of deficits, and their prospective associations with risk of mortality. Methods: Data of 23 615 participants from the second resurvey of the China Kadoore Biobank (CKB) was used. Fried phenotype was constructed using five phenotypes, and frailty indexes (FI) were constructed using 28 and 40 deficits, respectively. We calculated the Weighted Kappa coefficient to compare the consistency of three measures in the classification of frailty status. Cox regression was performed to analyze the association of frailty status with risk of mortality. Results: The frailty prevalence calculated by Fried phenotype, FI-28, and FI-40 were 5.4%, 7.9%, and 4.0%, respectively. The Kappa coefficients of Fried phenotype with FI-28 and FI-40 were 0.357 and 0.408, respectively. The Kappa coefficients of FI-28 and FI-40 was 0.712. During an average of (3.9±0.5) years of follow-up, 755 participants died. When Fried phenotype was used, compared with the robust participants, the prefrail and frail participants had increased risk of mortality, the multivariable-adjusted HRs were 1.60 (95%CI: 1.32-1.94) and 2.90 (95%CI: 2.25-3.73), respectively. When FI-28 was used, the corresponding HRs were 1.71 (95%CI: 1.39-2.11) and 2.52 (95%CI:1.95-3.27) for prefrail and frail participants, and when FI-40 was used, the corresponding HRs were 1.98 (95%CI:1.60-2.44) and 3.71 (95%CI: 2.80-4.91). The association of frailty status with mortality differed in different age groups, with the association stronger in younger adults than in older adults. Conclusion: Fried phenotype and frailty index constituted with different numbers of deficits showed good consistency; which can be used to well predict the risk of mortality.
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Affiliation(s)
- J N Fan
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness & Response/Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing 100191, China
| | - Z J Sun
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness & Response/Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing 100191, China
| | - C Q Yu
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness & Response/Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing 100191, China
| | - Y Guo
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - D J Y Sun
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness & Response/Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing 100191, China
| | - P Pei
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - H D Du
- Medical Research Council Population Health Research Unit at the University of Oxford/Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - J S Chen
- China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - Z M Chen
- Medical Research Council Population Health Research Unit at the University of Oxford/Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - J Lyu
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness & Response/Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing 100191, China
| | - L M Li
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness & Response/Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing 100191, China
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Yang X, Huang SM, He J, Tong L, Chen ZM. [Research progress in the role of intestinal microbiome in the development of asthma]. Zhonghua Er Ke Za Zhi 2021; 59:530-533. [PMID: 34102832 DOI: 10.3760/cma.j.cn112140-20201108-01014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- X Yang
- Department of Pulmonology, the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - S M Huang
- Department of Pulmonology, the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - J He
- Department of Pulmonology, the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - L Tong
- Department of Pulmonology, the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - Z M Chen
- Department of Pulmonology, the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
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Yang RT, Han YT, Lyu J, Yu CQ, Guo Y, Bian Z, Pei P, Du HD, Chen JS, Chen ZM, Huang T, Li LM. [Prevalence of heart failure and its association with smoking behavior in adults from 10 regions of China]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:787-793. [PMID: 34814468 DOI: 10.3760/cma.j.cn112338-20200703-00916] [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: 06/13/2023]
Abstract
Objective: To describe the prevalence of heart failure in China and to explore the prospective association between smoking behavior and the risk of incident heart failure. Methods: The subjects were from the China Kadoorie Biobank (CKB) and the baseline survey was conducted from June 2004 to July 2008. A total of 487 197 subjects were included in this study, after excluding those with missing BMI information, lost follow-up immediately after baseline investigation, and self-reported coronary heart disease, stroke, or malignant tumor at baseline. This study included data from baseline and follow-up until December 31, 2016. Cox proportional hazards regression models were used to estimate the association between smoking behavior and the risk of heart failure. Results: The median follow-up time was 10.15 years, during which a total of 4 208 new cases of heart failure occurred, with a crude incidence rate of 0.87/1 000 person-years and a cumulative incidence rate of 0.86%. The higher the age at baseline, the higher the incidence of heart failure. The incidence of heart failure in high age group, rural area and male was higher than that in low age group, urban area and female population respectively. Compared with non-smokers, there was no significant difference in the risk of heart failure in occasional smokers (HR=1.05; 95%CI: 0.91-1.22), while former smokers (HR=1.48; 95%CI:1.31-1.67) and current smokers (HR=1.34;95%CI:1.22-1.49) increased risk. Former smokers (HR=1.33;95%CI:1.21-1.46) and current smokers (HR=1.46; 95%CI:1.31-1.64) had higher risk of heart failure than non-smokers or occasional smokers. No dose-response relationship was observed between the number of cigarettes smoked per day and the risk of heart failure in current and former smokers (for trend P=0.347 and 0.066). Compared with non-smokers or occasional smokers, the hazard ratios of <5, 5-, 10- and ≥20 years since quit smoking were 1.61 (95%CI: 1.36-1.92), 1.55 (95%CI: 1.27-1.90), 1.24 (95%CI: 1.02-1.51) and 1.35 (95%CI: 1.08-1.68), respectively (for trend P=0.091). The hazard ratios of quitting smoking due to disease and other reasons were 1.62 (95%CI:1.41-1.86) and 1.23 (95%CI: 1.04-1.45). Healthy smoking behaviors had a significant protective effect on heart failure compared with non-healthy smoking behaviors (HR=0.75, 95%CI:0.69-0.81). Area and family history of coronary heart disease, and the smoking behaviors interacted with the risk of heart failure (for all interactions were P<0.05). Conclusions: The incidence of heart failure in China is higher in males than females, higher in rural areas than in urban areas, and increases with age. Both former smokers and current smokers had a higher risk of heart failure than nonsmokers or occasional smokers, regardless of the frequency, amount, duration, and reason for quitting. Smoking is an important risk factor for heart failure and comprehensive anti-smoking measures should be maintained.
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Affiliation(s)
- R T Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness & Response/Peking University Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Peking University, Beijing 100191, China
| | - Y T Han
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness & Response/Peking University Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Peking University, Beijing 100191, China
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness & Response/Peking University Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Peking University, Beijing 100191, China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness & Response/Peking University Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Peking University, Beijing 100191, China
| | - Y Guo
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Z Bian
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - P Pei
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - H D Du
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health/Medical Research Council Population Health Research Unit, University of Oxford, Oxford OX3 7LF, UK
| | - J S Chen
- China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - Z M Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health/Medical Research Council Population Health Research Unit, University of Oxford, Oxford OX3 7LF, UK
| | - T Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness & Response/Peking University Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Peking University, Beijing 100191, China
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness & Response/Peking University Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Peking University, Beijing 100191, China
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Sun ZJ, Fan JN, Yu CQ, Guo Y, Bian Z, Pei P, Du HD, Chen JS, Chen ZM, Lyu J, Li LM. [Prevalence, patterns and long-term changes of multimorbidity in adults from 10 regions of China]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:755-762. [PMID: 34814464 DOI: 10.3760/cma.j.cn112338-20200305-00259] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Objective: To describe the prevalence of multimorbidity and its secular trend, and to explore the common patterns of multimorbidity in Chinese adults. Methods: A total of 25 033 participants who attended the second resurvey of China Kadoorie Biobank (CKB) were included in the study. We used data collected both at baseline (2004-2008) and at resurvey (2013-2014). A total of 13 chronic conditions were included, defined by self-reported, physical examination, and blood sample testing. Multimorbidity was defined as co-existence of two or more chronic conditions. Patterns of multimorbidity were explored using hierarchical cluster analysis. Results: The mean age of participants was (51.5±10.1) years at baseline and (59.5±10.2) years at second resurvey. The prevalence of multimorbidity increased from 33.5% to 58.1% over (8.0±0.8) years of follow-up. The average number of chronic conditions per person increased from 1.15 to 1.82 and all participants increased 0.42 conditions per 5 years on average. Participants who were older, less educated or lived in urban areas had a higher prevalence of multimorbidity and a higher increase in the number of chronic conditions. The increase in the number of chronic conditions was also higher among smokers and heavy alcohol drinkers. The most common multimorbidity pattern in the present population consisted of obesity, hypertension, diabetes, stroke, and heart disease. Conclusions: The prevalence of multimorbidity in Chinese adults is increasing rapidly due to ageing population. Populations of different sociodemographic background and lifestyle habits may have different prevalence of multimorbidity and changes in rates over time.
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Affiliation(s)
- Z J Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness & Response/Peking University Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Beijing 100191, China
| | - J N Fan
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness & Response/Peking University Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Beijing 100191, China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness & Response/Peking University Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Beijing 100191, China
| | - Y Guo
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Z Bian
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - P Pei
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - H D Du
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health/Medical Research Council Population Health Research Unit, University of Oxford, Oxford OX3 7LF, UK
| | - J S Chen
- China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - Z M Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health/Medical Research Council Population Health Research Unit, University of Oxford, Oxford OX3 7LF, UK
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness & Response/Peking University Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Beijing 100191, China
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness & Response/Peking University Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Beijing 100191, China
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Shen ZW, Wei YX, Yu CQ, Guo Y, Bian Z, Pei P, Chen JS, Chen ZM, Lyu J, Li LM. [Descriptive analysis of fracture hospitalization rate in adults from 10 regions of China]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:771-779. [PMID: 34814466 DOI: 10.3760/cma.j.cn112338-20200619-00862] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Objective: To analyze the epidemiological distributions of fracture hospitalization. Methods: The present study included participants who participated in the baseline survey of China Kadoorie Biobank (CKB) and excluded participants who were lost to follow up or died before 2009, leaving a total of 506 004 participants. Negative binomial regression models were used to analyze the epidemiological distribution of any fracture and fracture at five specific body sites (upperlimb, lowerlimb, spine, pelvis and hip) from 2009 to 2016 in 10 regions. Results: During a median follow-up of (7.7±1.2) years (total person-years 3 899 814), we documented 17 118 cases of fracture hospitalizations. The crude fracture hospitalization rate was 4.39/1 000 person-years. After controlling for the increasing age of the fixed cohort, the hospitalization rates of fractures at various body sites increased from 2009 to 2016, with an annual growth rate (95%CI) of 9.1% (8.3%-9.9%) for any fracture. The fracture hospitalization rate was higher in rural than in urban areas except for hip fractures (P<0.05) and the hospitalization rate of any fracture were 5.42/1 000 and 3.24/1 000 person-years in rural and urban areas, respectively. Fracture hospitalization rate increased by age. In participants aged <50 years, men had higher fracture hospitalization rates than women except for pelvis fracture, while in those aged ≥50 years, women had higher fracture hospitalization rates than men. Conclusions: Fracture hospitalization rates increased by age and also showed upward selular trends. As China has begun the aging process, fractures impose a heavier burden on society. It is of great significance to prevent osteoporosis-related and injury-related fractures in order to reduce fractures incidence.
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Affiliation(s)
- Z W Shen
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness & Response/Peking University Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Beijing 100191, China
| | - Y X Wei
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness & Response/Peking University Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Beijing 100191, China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness & Response/Peking University Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Beijing 100191, China
| | - Y Guo
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Z Bian
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - P Pei
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - J S Chen
- China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - Z M Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness & Response/Peking University Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Beijing 100191, China
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness & Response/Peking University Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Beijing 100191, China
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Liu Q, Wu M, Wen QR, Du HD, Lyu J, Guo Y, Bian Z, Pei P, Chen JS, Yu CQ, Chen ZM, Li LM. [The correlation of dietary patterns with low muscle mass, strength and quality in adults from 10 regions of China]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:780-786. [PMID: 34814467 DOI: 10.3760/cma.j.cn112338-20200618-00855] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Objective: To evaluate the correlation of dietary patterns with low muscle mass, strength and quality in Chinese adults. Methods: Based on the second resurvey of China Kadoorie Biobank, factor analysis was conducted to derive dietary patterns from 20 food groups. Low muscle mass, strength, and quality were defined as the sex-specific lowest quintile of appendicular skeletal muscle mass index (ASMI), total skeletal muscle mass index (TSMI), handgrip strength and arm muscle quality (AMQ) according to Asian Working Group for Sarcopenia recommendations. Logistic regression models were used to evaluate the correlation of dietary patterns with low muscle mass, strength, and quality. Results: Two major dietary patterns were extracted. The balanced dietary pattern was characterized by the intake of a variety of foods, whereas the rice-meat dietary pattern was characterized by high intakes of rice, meat, poultry and fish. Individuals who had the highest quintile score of the balanced dietary pattern were less likely to have low TSMI, handgrip strength or AMQ(OR=0.83, 95%CI: 0.74-0.95 for low TSMI; OR=0.64, 95%CI: 0.56-0.74 for low handgrip strength; OR=0.82, 95%CI: 0.72-0.93 for low AMQ; for trend P<0.05). And those who scored higher on the rice-meat dietary pattern had lower risk of low muscle mass and strength (OR=0.67, 95%CI: 0.55-0.82 for low ASMI; OR=0.69, 95%CI: 0.56-0.85 for low TSMI; OR=0.74, 95%CI: 0.60-0.91 for low handgrip strength; for trend P<0.05). Conclusion: Individuals followed the balanced dietary pattern, as well as those who followed the rice-meat dietary pattern, had better levels of skeletal muscle mass, strength and quality.
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Affiliation(s)
- Q Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Pre[aredmess amd Response/Peking University Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Beijing 100191, China
| | - M Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Pre[aredmess amd Response/Peking University Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Beijing 100191, China
| | - Q R Wen
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Pre[aredmess amd Response/Peking University Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Beijing 100191, China
| | - H D Du
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health/Medical Research Council Population Health Research Unit, University of Oxford, Oxford OX3 7LF, UK
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Pre[aredmess amd Response/Peking University Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Beijing 100191, China
| | - Y Guo
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Z Bian
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - P Pei
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - J S Chen
- China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Pre[aredmess amd Response/Peking University Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Beijing 100191, China
| | - Z M Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health/Medical Research Council Population Health Research Unit, University of Oxford, Oxford OX3 7LF, UK
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Pre[aredmess amd Response/Peking University Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Beijing 100191, China
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Dong WW, Wu J, Yu CQ, Song XY, Lyu J, Guo Y, Bian Z, Yang L, Chen YP, Chen ZM, Pan A, Li LM. [Self-rated health measures and their relations to all-cause and cardiovascular mortality in adults from 10 regions of China]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:763-770. [PMID: 34814465 DOI: 10.3760/cma.j.cn112338-20200622-00872] [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: 06/13/2023]
Abstract
Objective: To examine the association between self-rated health status (SRH) and all-cause and cardiovascular mortality. Methods: A total of 512 713 adults aged 30-79 years from 10 areas of China were followed from baseline (2004-2008) until 31 December 2016 in the China Kadoorie Biobank study. Global and age-comparative SRH [general self-rated health status (GSRH) and age-comparative self-rated health status (ASRH), respectively] were asked in baseline questionnaires. Causes for mortality were monitored through linkage with established Disease Surveillance Point system and health insurance records. Multivariable Cox proportional regression models were used to estimate the HRs and 95%CIs for the association between SRH measures and all-cause or cardiovascular mortality. Results: During an average of 9.9 years' follow-up, 44 065 deaths were recorded, among which 17 648 were from cardiovascular disease. Compared with excellent GSRH, the HR(95%CI) for all-cause and cardiovascular mortality associated with poor GSRH was 1.84(1.78-1.91) and 1.94(1.82-2.06), respectively. Relative to better ASRH, the HR(95%CI) for all-cause and cardiovascular mortality associated with worse ASRH was 1.75(1.70-1.81) and 1.83(1.73-1.92), respectively. Conclusion: In this large prospective cohort study in China, participants reporting poor GSRH or worse ASRH had significantly higher risk of all-cause and cardiovascular mortality.
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Affiliation(s)
- W W Dong
- Department of Epidemiology and Biostatistics, and Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - J Wu
- Department of Epidemiology and Biostatistics, and Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness & Response/Peking University Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Beijing 100191, China
| | - X Y Song
- Department of Epidemiology and Biostatistics, and Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness & Response/Peking University Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Beijing 100191, China
| | - Y Guo
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Z Bian
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - L Yang
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health/Medical Research Council Population Health Research Unit, University of Oxford, Oxford OX3 7LF, UK
| | - Y P Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health/Medical Research Council Population Health Research Unit, University of Oxford, Oxford OX3 7LF, UK
| | - Z M Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health/Medical Research Council Population Health Research Unit, University of Oxford, Oxford OX3 7LF, UK
| | - A Pan
- Department of Epidemiology and Biostatistics, and Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness & Response/Peking University Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Beijing 100191, China
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Zhu M, Lyu J, Yu CQ, Huang YQ, Ma HX, Jin GF, Guo Y, Pei P, Chen ZM, Shen HB, Hu ZB, Li LM. [Polygenic risk score in personalized screening of lung cancer: a prospective cohort study in Chinese]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:376-381. [PMID: 34814406 DOI: 10.3760/cma.j.cn112338-20210107-00013] [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: 06/13/2023]
Abstract
Objective: To explore how to personalize lung cancer screening programs for prevention in Chinese populations based on individual genetic risk score. Methods: We constructed the lung cancer polygenic genetic risk score (PRS-19) based on the 19 previously published genetic variations, using 100 615 participants with genotyping data from the China Kadoorie Biobank (CKB). Using the 5-year absolute risk of lung cancer in a population (55 years old with at least 30-pack-year history of smoking) as reference, the trend of 5-year absolute risk in different genetic risk groups was calculated in smokers and non-smokers, respectively. Distribution curves of 5-year absolute risk were also described to determine the theoretical age or smoking dose when different genetic risk groups reached the reference values. Given the overall findings, the specific start age for lung cancer screening were suggested for different genetic risk groups. Results: The 5-year absolute risk of lung cancer was 0.67% in 55-year-old smokers with 30 packs per year in the CKB. Among smokers, 5-year absolute risk of participants increased as the genetic risk increased. Hence, it was recommended that people at high genetic risk should start screening earlier. For the highest genetic risk populations (the top 1% of PRS), the start age might be changed to 50 years old. If the start age remained at 55-year-old, the smoking dose should be set lowered in high genetic risk populations. For the highest genetic risk populations, they should be included in lung cancer screening regardless of the cumulative smoking exposure. Among nonsmokers, it was also valuable to screen people with high genetic risk, considering the start age of 62 for the highest genetic risk populations and 74 for the lowest genetic risk populations (the bottom 5% of PRS). Conclusions: PRS-19 can be effectively used in developing lung cancer screening program for individualized prevention in China. For smokers with high genetic risk, the recommended starting age and smoking dose could be lowered for lung cancer screening, and non-smokers with high genetic risk could also be included in the screening programs.
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Affiliation(s)
- M Zhu
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - J Lyu
- School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing 100191, China
| | - C Q Yu
- School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing 100191, China
| | - Y Q Huang
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - H X Ma
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - G F Jin
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Y Guo
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - P Pei
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Z M Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom
| | - H B Shen
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Z B Hu
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - L M Li
- School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing 100191, China
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Zhou YL, Zhang YY, Chen ZM. [Progress in diagnosis and treatment of pulmonary embolism in children]. Zhonghua Er Ke Za Zhi 2021; 59:246-249. [PMID: 33657705 DOI: 10.3760/cma.j.cn112140-20200710-00713] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- Y L Zhou
- Department of Pulmonology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - Y Y Zhang
- Department of Pulmonology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - Z M Chen
- Department of Pulmonology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
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Liu Q, Li JC, Du HD, Cao WH, Lyu J, Guo Y, Bian Z, Long ZP, Pei P, Chen JS, Yu CQ, Chen ZM, Li LM. [Regional and demographic differences on passive smoking among non-smokers aged 30-79 years in 10 regions of China]. Zhonghua Liu Xing Bing Xue Za Zhi 2020; 41:1668-1673. [PMID: 33297624 DOI: 10.3760/cma.j.cn112338-20191016-00737] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To describe the regional and demographic differences on passive non-smokers from 10 regions involved in the China Kadoorie Biobank (CKB) study. Methods: Detailed information regarding passive smoking behaviors related to 317 486 non-smokers who were 30-79 years old from the 10 study regions were gathered and analyzed. Results: Following the standardization of the 2010 China national population, the prevalence rate of passive smoking was 56.7%, and the prevalence rate of living with smokers was 66.5% among the Chinese adults. Both of the aforementioned rates were higher in rural than in urban areas. Meanwhile, the regional distribution of weekly passive smoking frequency and cumulative duration of passive smoking per week and cumulative duration of passive smoking per day were significantly different. The cumulative passive smoking duration per week increased along with the weekly frequency in people living in urban areas. Among women, the weekly passive smoking frequency was the highest, and the cumulative durations per week and per day appeared the lowest in Hunan, opposite to the situation in Henan. The prevalence of passive smoking among participants living with smokers was 2.27 times (95%CI: 2.24-2.29) of those who were not and the association appeared stronger in women (OR=2.61, 95%CI: 2.58-2.64) but not in men (OR=1.01, 95%CI: 0.95-1.06). Almost all the indicators seemed higher in women than those in men, except for the cumulative duration per day. Furthermore, these indicators appeared higher among those who were at younger age or with less education. The prevalence rates of passive smoking and living with smokers were lower but the cumulative duration per day was higher among those with lower household income. And the two rates were higher in married women and lower in married men, as compared to their counterparts. Conclusion: Regional and demographic differences in passive smoking were noticed among study population of CKB in the 10 regions.
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Affiliation(s)
- Q Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - J C Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - H D Du
- Nuffield Department of Population Health, Center for Clinical and Epidemiological Studies, University of Oxford, Oxford OX3 7LF, UK
| | - W H Cao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Y Guo
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Z Bian
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Z P Long
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - P Pei
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - J S Chen
- China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Z M Chen
- Nuffield Department of Population Health, Center for Clinical and Epidemiological Studies, University of Oxford, Oxford OX3 7LF, UK
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
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40
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Chen TY, Ge YL, Liu XW, Zhu YQ, Chen ZM, Tian L, Zhu YY, Zhang X, Zhang HZ. [Molecular epidemiological characteristics of methicillin-resistant Staphylococcus aureus during 2017-2018 at a hospital in Shanghai]. Zhonghua Yu Fang Yi Xue Za Zhi 2020; 54:849-853. [PMID: 32842314 DOI: 10.3760/cma.j.cn112150-20190819-00669] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To identify the epidemic clones of MRSA isolates at a hospital in shanghai. Methods: A total of 72 MRSA isolates have been isolated from a second grade hospital between 2017 and 2018, including 32 CA-MRSA isolates, 13 HA-MRSA isolates and 26 MRSA isolates from environment. In this study, MLST and PFGE typing methods were used to analyze the molecular epidemiology of the MRSA isolates. Results: A total of 72 MRSA isolates have been obtained including 46 isolates from clinical specimens, 26 isolates from environments. The 46 MRSA isolates from clinical specimens consisted of 33 CA-MRSA (community-acquired MRSA) and 13 HA-MRSA (hospital-acquired MRSA). Furthermore, these patients infected with MRSA isolates were mostly distributed in the department of geriatrics (34.8%, 16/46), internal medicine (26.1%, 12/46) and surgery (26.1%, 12/46). MLST typing results showed that ST764 was predominant in isolates from both clinical specimens and hospital environments. Furthermore, PFGE typing results showed that most ST764 MRSA had high homolog (>90%). Conclusion: ST764 MRSA isolates might spread in community, hospital and environments. Therefore, continuous monitoring of MRSA and its variation may be useful in understanding the involvement of epidemic clone, and in searching new strategies to control MRSA infection.
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Affiliation(s)
- T Y Chen
- Department of Pathogenic identification, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - Y L Ge
- Department of Pathogenic identification, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - X W Liu
- Department of Pathogenic identification, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - Y Q Zhu
- Department of Pathogenic identification, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - Z M Chen
- Department of Pathogenic identification, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - L Tian
- Department of Acute Communicable Disease Control and Prevention, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - Y Y Zhu
- Department of Pathogenic identification, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - X Zhang
- Department of Pathogenic identification, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - H Z Zhang
- Department of Pathogenic identification, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
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Su J, Zhou JY, Tao R, Wan YN, Qin Y, Lu Y, Hua YJ, Jin JR, Bian Z, Guo Y, Chen ZM, Wu M, Li LM. [Association between family history of diabetes and incident diabetes of adults: a prospective study]. Zhonghua Yu Fang Yi Xue Za Zhi 2020; 54:828-833. [PMID: 32842310 DOI: 10.3760/cma.j.cn112150-20200212-00091] [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] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To evaluate the association betweew family history of diabetes and incident diabetes of adults. Methods: A total of 49 266 participants in the China Kadoorie Biobank (CKB) study from Wuzhong district of Suzhou city were included in the analysis, after the exclusion of those with heart disease, stroke, cancer and diabetes at baseline survey. The person-year of follow-up was calculated from the date on completion of baseline survey to the date on any firstly-occurred event, i.e., diabetes incidence, death, loss of follow-up, or December 31, 2013. Cox regression model was used to estimate the hazards ratios of the association between family history of diabetes and incident diabetes. Results: During 348 677 person-years of the follow-up (median 7.08 years), a total of 423 men and 791 women were diagnosed as having diabetes. Compared to those without diabetic family history, participants with family history of diabetes showed a higher risk of diabetes, with a HR (95%CI) of 1.90 (1.57-2.29), and the risk increased with the number of relatives suffering from diabetes (Pfor trend<0.05). The family history of maternal type, sibling type, and sibling and parental type had a statistically significant association with the risk of diabetes. The adjusted HR (95%CI) was 2.03 (1.45-2.77), 2.07 (1.56-2.68) and 2.39 (1.14-4.34), respectively. Modification effects of tobacco smoking, alcohol drinking, body mass index and physical activity on the association between diabetic family history and risk of diabetes were not observed in the study (Pfor interaction >0.05). Conclusions: Diabetic family history is associated with the increased incident diabetes, and the risk increased with the number of relatives suffering from diabetes.
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Affiliation(s)
- J Su
- Department of Non-communicable Chronic Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - J Y Zhou
- Department of Non-communicable Chronic Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - R Tao
- Department of Non-communicable Chronic Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - Y N Wan
- Department of Non-communicable Chronic Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - Y Qin
- Department of Non-communicable Chronic Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - Y Lu
- Department of Non-communicable Chronic Disease Control and Prevention, Suzhou City Center for Disease Control and Prevention, Suzhou 215004, China
| | - Y J Hua
- Department of Non-communicable Chronic Disease Control and Prevention, Suzhou City Center for Disease Control and Prevention, Suzhou 215004, China
| | - J R Jin
- Wuzhong Ditrict of Suzhou City Center for Disease Control and Prevention, Suzhou 215100, China
| | - Z Bian
- Department of China Kadoorie Biobank , Chinese Academy of Medical Sciences, Beijing 102308, China
| | - Y Guo
- Department of China Kadoorie Biobank , Chinese Academy of Medical Sciences, Beijing 102308, China
| | - Z M Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, University of Oxford, Oxford OX3 7LF, UK
| | - M Wu
- Department of Non-communicable Chronic Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - L M Li
- School of Public Health, Peking University, Beijing 100191, China
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Jiang Y, Wang YS, Tang LF, Chen ZM. [Applications of airway clearance techniques in children]. Zhonghua Er Ke Za Zhi 2020; 58:690-693. [PMID: 32842394 DOI: 10.3760/cma.j.cn112140-20200302-00163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- Y Jiang
- Department of Pulmonology, the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - Y S Wang
- Department of Pulmonology, the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - L F Tang
- Department of Pulmonology, the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - Z M Chen
- Department of Pulmonology, the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
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Yu FY, Yin YM, Chen ZM, Ren N, Li RF. Influence of blood flow of arteriovenous fistula on cardiac function of patients undergoing maintenance hemodialysis. J BIOL REG HOMEOS AG 2020; 34:1397-1400. [PMID: 32924376 DOI: 10.23812/20-74-l] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Affiliation(s)
- F Y Yu
- Department of Endocrine, General Hospital of Northern Theater Command, Shenyang, China
| | - Y M Yin
- Hemodialysis Room, Shandong Dongying People's Hospital, Shandong, China
| | - Z M Chen
- Department of Nephrology Ward, Binzhou Medical University Hospital, Shandong, China
| | - N Ren
- Department of Dermatology, Binzhou Medical University Hospital, Shandong, China
| | - R F Li
- Hemodialysis Room, Binzhou Medical University Hospital, Shandong, China
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44
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Shen ZW, Sun ZJ, Yu CQ, Guo Y, Bian Z, Pei P, Du HD, Chen JS, Chen ZM, Lyu J, Li LM. [Association between height loss and calcaneus bone mineral density in Chinese adults]. Zhonghua Liu Xing Bing Xue Za Zhi 2020; 41:813-818. [PMID: 32564541 DOI: 10.3760/cma.j.cn112338-20191005-00716] [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] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To examine the association between height loss and calcaneus bone mineral density (BMD) through data gathered from the China Kadoorie Biobank (CKB). Methods: The present study included 24 231 participants who attended the CKB resurvey during 2013-2014, in which calcaneus BMD was measured by quantitative ultrasound method for the first time. Height loss was calculated according to the differences appeared in height measurement between baseline and resurvey. We used linear regression models to estimate the association between height loss and BMD measures. Results: The mean interval between baseline and resurvey was (8.0±0.8 ) years. 33.0% of the participants showed a height loss of ≥1.0 cm, and another 3.7% were with height loss of ≥3.0 cm. After adjustment for potential confounders, there was a linear correlation seen between height loss and BMD (P for all linear trend were <0.001). The βs (95%CIs) for each 1.0 cm of height loss were -0.79 (-0.95--0.63) for broadband ultrasound attenuation (BUA), -2.74 (-3.35--2.13) for speed of sound (SOS), and -1.29 (-1.54--1.04) for stiffness index (SI). Compared with participants with stable height, the multivariate-adjusted βs (95%CIs) for those with height loss of ≥3.0 cm were -3.29 (-4.08--2.50) for BUA, -10.70 (-13.66--7.73) for SOS, and -5.16 (-6.36--3.96) for SI, respectively. According to the subgroup analyses, the association of height loss with BMD measures seemed to be more apparent among females, in those aged ≥55 years, and those being less physically active. Conclusions: BMD became lower with the increase of height loss. Regular height measurement may contribute to the early diagnosis and prevention of osteoporosis.
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Affiliation(s)
- Z W Shen
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Z J Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Y Guo
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Z Bian
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - P Pei
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - H D Du
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - J S Chen
- China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - Z M Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China; Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Peking University, Beijing 100191, China
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
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45
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Li HW, Yang DH, Zhan XQ, Zhong LJ, Zhang YY, Wang YS, Chen ZM. [Comparison of nucleic acid detection methods in pharyngeal swabs of Mycoplasma pneumoniae infection in children]. Zhonghua Er Ke Za Zhi 2020; 58:403-407. [PMID: 32392957 DOI: 10.3760/cma.j.cn112140-20191216-00813] [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] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To explore the value of nucleic acid detection methods in pharyngeal swabs in the etiological diagnosis of Mycoplasma pneumoniae (MP) infection in children. Methods: Four hundred and fifty-four (male 210, female 244) children with pneumonia in Department of Pulmonology, Children's Hospital of Zhejiang University School of Medicine were enrolled from July, 2018 to October, 2018. Pharyngeal swabs and venous blood were obtained on the first or the second day after hospitalization. Fluorescence detection quantitative amplification of DNA, thermostatic amplification of RNA, MP culture and MP-IgM were used to detect MP simultaneously. MP infection is diagnosed if MP culture is positive or the two of the other three methods are positive. Pharyngeal swabs were acquired and detected using fluorescence quantitative amplification of DNA, thermostatic amplification of RNA and MP culture again for children with confirmed MP infection before discharge. The detection rates and quantitative changes of the three methods were compared, and χ(2) test was used for comparison among groups. Results: A total of 454 hospitalized children with pneumonia were included in this study. The detection rates of fluorescence quantitative amplification of DNA, thermostatic amplification of RNA, MP culture and MP-IgM IgM were 43.6% (198/454), 43.2% (196/454), 40.0% (180/454) and 30.6% (139/454) respectively. The difference of detection rates of the four methods was statistically significant (χ(2)=20.8, P<0.05),but no significant difference between the detection rates of fluorescence quantitative amplification of DNA and thermostatic amplification of RNA was found (χ(2)=0.018, P=0.900). They both had higher detection rates than MP-IgM or MP culture. MP infection is diagnosed if MP culture is positive or the two of the other three methods are positive, and two hundred and nine children were diagnosed as MP infection. In the second test of MP infection in 209 children before discharge, the positive rate of MP culture was 67.5% (141/209), with 39.4% (13/33) changed from negative to positive, and 27.3% (48/176) changed from positive to negative. The positive rate of thermostatic amplification of RNA was 82.3% (172/209), with 16.2% (31/191) turned from positive to negative, and 66.7% (12/18) turned from negative to positive. The positive rate of fluorescence quantitative amplification of DNA was 67.0% (140/209), with 52.9% (18/34) cases changed from negative to positive, and 30.3% (53/175) cases changed from positive to negative. MP-DNA load decreased in 141 cases (67.5%) and increased in 68 cases (32.5%) in the second test among the positive samples tested by fluorescence quantitative amplification of DNA. The detection rates of the four methods in the non-severe group and the severe group were similar, and the differences among the groups were not statistically significant (all P>0.05). In the second test, the proportion of changing from negative to positive in the severe group was higher than that in the non-severe group, but only the difference in the thermostatic amplification of RNA was statistically significant (P=0.038) and the cases of changing from negative to positive of thermostatic amplification of RNA in the severe group and non-severe group are 7 and 5 respectively. Conclusions: The methods of pharyngeal swab nucleic acid detection have high sensitivity and application value in the etiological diagnosis of acute MP infection in children. The results of fluorescence quantitative amplification of DNA and thermostatic amplification of RNA are highly consistent, and they are both more advantageous than MP-IgM. Repeated testing in the acute phase is helpful to find MP infection children whose first test is negative. The load of MP-DNA did not decrease in some children in the acute stage after antibiotic treatment.
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Affiliation(s)
- H W Li
- Department of Pulmonology, Children's Hospital of Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - D H Yang
- Department of Pulmonology, Children's Hospital of Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - X Q Zhan
- Department of Pulmonology, Children's Hospital of Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - L J Zhong
- Department of Pulmonology, Children's Hospital of Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - Y Y Zhang
- Department of Pulmonology, Children's Hospital of Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - Y S Wang
- Department of Pulmonology, Children's Hospital of Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - Z M Chen
- Department of Pulmonology, Children's Hospital of Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
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Zhang YY, Li HW, Chen ZM. [Research progress in the application of anti-IgE antibody for allergic asthma in school-age children]. Zhonghua Er Ke Za Zhi 2020; 58:255-258. [PMID: 32135605 DOI: 10.3760/cma.j.issn.0578-1310.2020.03.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- Y Y Zhang
- Department of Pulmonology, Children's Hospital of Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310051, China
| | - H W Li
- Department of Pulmonology, Children's Hospital of Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310051, China
| | - Z M Chen
- Department of Pulmonology, Children's Hospital of Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310051, China
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Gao M, Wei YX, Lyu J, Yu CQ, Guo Y, Bian Z, Pei P, Du HD, Chen JS, Chen ZM, Huang T, Li LM. [The cut-off points of body mass index and waist circumference for predicting metabolic risk factors in Chinese adults]. Zhonghua Liu Xing Bing Xue Za Zhi 2020; 40:1533-1540. [PMID: 32062911 DOI: 10.3760/cma.j.issn.0254-6450.2019.12.006] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To assess the association of BMI and waist circumference (WC) with metabolic risk factors, and confirm the appropriate cut-off points of BMI and WC among Chinese adults. Methods: After excluding participants with missing or extreme measurement values, as well as individuals with self-reported histories of cancer, a total of 501 201 adults in baseline and 19 201 adults in the second re-survey from the China Kadoorie Biobank were included. The associations of BMI and WC with metabolic risk factors were estimated. Receiver operating characteristic (ROC) analyses were conducted to assess the appropriate cut-off values of BMI and WC to predict the risk of hypertension, diabetes, dyslipidemia and clustering of risk factors. Results: The prevalence of hypertension, diabetes, dyslipidemia and clustering of risk factors all presented ascending trends with the increasing levels of BMI or WC. Defined as the points on the ROC curve where Youden's index reached the highest, the appropriate overweight cut-off points of BMI were around 24.0 kg/m(2) both in men and women, and the points of WC were around 85 cm in men and 80 to 85 cm in women. With specificity 90% for identification of risk factors, the appropriate obese cut-off points of BMI were around 28.0 kg/m(2) both in men and women, with the range of 27.0 to 28.9 kg/m(2). Conclusions: The cut-off points for overweight and obesity recommended by Coorperative Meta-analysis Group of China Obesity Task Force was verified in the large sample survey conducted more recently. The cut-off points of BMI were 24.0 and 28.0 kg/m(2) for overweight and obesity, and the cut-off point of WC was 85 cm in men and 80 to 85 cm in women for central obesity.
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Affiliation(s)
- M Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Y X Wei
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China; Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Peking University, Beijing 100191, China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Y Guo
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Z Bian
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - P Pei
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - H D Du
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK; Medical Research Council Population Health Research Unit at the University of Oxford, Oxford OX3 7LF, UK
| | - J S Chen
- China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - Z M Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - T Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
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Li JC, Lyu J, Gao M, Yu CQ, Guo Y, Bian Z, Pei P, Du HD, Chen JS, Chen ZM, Li LM. [Association of body mass index and waist circumference with major chronic diseases in Chinese adults]. Zhonghua Liu Xing Bing Xue Za Zhi 2020; 40:1541-1547. [PMID: 32062912 DOI: 10.3760/cma.j.issn.0254-6450.2019.12.007] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To examine the association of BMI with major chronic diseases morbidity and all-cause mortality in Chinese adults. Methods: This study is based on China Kadoorie Biobank. Anthropometric indexes were objectively measured at the baseline survey during 2004-2008. After excluding participants with heart disease, stroke, cancer, COPD and diabetes, 428 113 participants aged 30 to 79 years were included in the analysis. Cox regression models were used to investigate the associations of BMI and waist circumference with incidence of major chronic diseases (including cardiovascular disease, cancer, COPD, and type 2 diabetes) and all-cause mortality. Results: Over an average of 10 years, 131 454 participants developed any one of major chronic diseases. A total of 26 892 all-cause deaths were reported. The risk of major chronic diseases increased with BMI. Compared with normal BMI (18.5-24.0 kg/m(2)), the HR (95%CI) of overweight (BMI 24.0-28.0 kg/m(2)) and obesity (BMI≥28.0 kg/m(2)) were 1.26 (95%CI: 1.24-1.27) and 1.59 (95%CI: 1.57-1.62) respectively. Underweight and obesity were both associated with risk of all-cause mortality. Waist circumference was positively associated with risk of major chronic diseases and all-cause mortality. According to recommended cut-off points of BMI and waist circumference for Chinese adults, maintaining a healthy body weight would prevent 12% incident cases of major chronic diseases. Conclusion: General and central obesity were risk factors for major chronic disease among Chinese adults.
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Affiliation(s)
- J C Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China; Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Peking University, Beijing 100191, China
| | - M Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Y Guo
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Z Bian
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - P Pei
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - H D Du
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK; Medical Research Council Population Health Research Unit at the University of Oxford, Oxford OX3 7LF, UK
| | - J S Chen
- China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - Z M Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
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Yang SC, Fan MY, Yu CQ, Guo Y, Bian Z, Pei P, Chen JS, Chen ZM, Lyu J, Li LM. [Frequency of bowel movements and risk of Parkinson's disease: a prospective cohort study in adults in China]. Zhonghua Liu Xing Bing Xue Za Zhi 2020; 41:48-54. [PMID: 32062942 DOI: 10.3760/cma.j.issn.0254-6450.2020.01.010] [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] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To evaluate the association between the frequency of bowel movement (BMF) and the risk of Parkinson's disease (PD). Methods: In this study, 510 134 participants from the China Kadoorie Biobank (CKB) were included after excluding those who reported to had been diagnosed with cancer at baseline survey. The baseline survey was conducted from 2004 to 2008. The study used the data from the baseline survey and follow-up until December 31, 2016. Cox proportional hazards regression models were used to estimate the HRs and the 95%CIs of risk of PD diagnosis with BMF. Results: During an average follow-up period of (9.9±1.9) years, 808 participants were diagnosed with PD. Compared with participants who had bowel movements every day, the multivariable-adjusted HR (95%CI) for those who had bowel movements<3 times/week, once every 2-3 days, and>1 time/day were 3.62 (2.88-4.54), 2.13 (1.74-2.60), and 0.81 (0.63-1.05), respectively. The linear trend test results of the association between BMF and risk of PD diagnosis was significant (P<0.001). Compared with the participants who had bowel movements ≥1 time/day, the multivariable-adjusted HR (95%CI) for those who had bowel movements<1 time/day was 3.13 (2.32-4.23) within the 5 years of follow- up and was 2.48 (2.05-3.01) beyond the 5 years of follow-up. The gender specific results were similar. The association of BMF<1 time/day with risk of PD diagnosis was stronger in older participants. Conclusions: The participants with low BMF at baseline survey would have higher risk for PD diagnosis in the subsequent 10 years on average. Since abnormal decrease of BMF is easy to be found, programs could be set up for the early screening of PD in older people, along with other early symptoms of PD.
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Affiliation(s)
- S C Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - M Y Fan
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Y Guo
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Z Bian
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - P Pei
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - J S Chen
- China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - Z M Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China; Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Peking University, Beijing 100191, China
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
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Abstract
Objective: To improve the diagnosis and therapy of childhood pulmonary thromboembolism (PTE) by analyzing the clinical features of this rare condition. Methods: A total of 8 pediatric patients (4 males, 4 females) with PTE diagnosed in the Children's Hospital of Zhejiang University School of Medicine from March, 2014 to March, 2019 were enrolled. The clinical manifestation, laboratory results, imaging findings, diagnosis and treatment were summarized. Results: Among these 8 cases, aged from 9 hours to 14 years and 10 months. Fever was found in 4 cases, cough aggravation in 4, short of breath in 3, chest pain in 2, abdominal and back pain in one, hemoptysis in 2, cyanosis in 1, and edema of lower extremities in 2. Physical examination found decreased breath sound in 2 cases, phlegm rale in 3, and pleural friction rub in one. Pleural effusion was found in 5 cases by ultrasound. Plasma D-dimer increased in 6 cases (0.66-9.96 mg/L) and hypersensitive C-reactive protein elevated in 5 cases (10.78-78.00 mg/L). Chest enhanced CT showed pulmonary artery or venous filling defects, including pulmonary artery embolism in 7 cases and pulmonary vein embolism in one. The primary disease of these patients included Mycoplasma Pneumoniae pneumonia in 4 cases, nephritis in 2 and postoperative congenital heart disease in 2. Apart from one case who withdrew the treatment and was discharged, the other 7 patients received anticoagulant treatment had good outcome. Conclusions: For children with Mycoplasma pneumoniae pneumonia, immune disorders, long-term hormone therapy, cardiovascular invasive operation or other high-risk factors, PTE should be considered when fever, cough aggravation, short of breath, chest and back pain with pleural effusion are present. Chest enhanced CT scan should be performed as soon as possible, and anticoagulation should be started once the diagnosis is confirmed.
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Affiliation(s)
- F Z Zhang
- Department of Pulmonology, Children's Hospital of Zhejiang University School of Medicine, Hangzhou 310052, China
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