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Gu D, Wang D, Zhu Q, Luo L, Zhang T. Prevalence of dyslipidemia and associated factors in sedentary occupational population from Shanghai: a cross-sectional study. Arch Public Health 2024; 82:21. [PMID: 38331828 PMCID: PMC10854172 DOI: 10.1186/s13690-024-01245-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2023] [Accepted: 01/27/2024] [Indexed: 02/10/2024] Open
Abstract
BACKGROUND Dyslipidemia is a major risk factor for cardiovascular diseases, but its prevalence and determinants among sedentary occupational population are poorly understood. This study aimed to investigate the prevalence and associated factors for dyslipidemia among a sedentary occupational population in Shanghai, China. METHODS We collected data from 35,950 sedentary occupational workers on their demographics, social, medical, and family history, lifestyle, anthropometry, and biochemistry. We used the 2016 Chinese guideline for the management of dyslipidemia in adults to define dyslipidemia and its subtypes. We performed multivariate logistic regression to examine the factors associated with dyslipidemia. RESULTS The prevalence of dyslipidemia was 29.10%, with 15.86% for high triglycerides (TG), 6.43% for high total cholesterol (TC), 5.37% for high low-density lipoprotein cholesterol (LDL-C), and 14.68% for low high-density lipoprotein cholesterol (HDL-C). Men had a significantly higher prevalence of dyslipidemia than women (39.64% vs. 12.43%, P < 0.01). Factors associated with dyslipidemia included older age, being married, longer sedentary time while resting, frequent intake of animal viscera, current smoking, hypertension, diabetes, and obesity. Current drinking was associated with a 1.24 times higher prevalence of high TG (P < 0.01). Current smokers were less likely to have low HDL-C than non-smokers. CONCLUSIONS Our present study, in a population of 35,950 sedentary occupational workers from Shanghai, demonstrated a prevalence of dyslipidemia, but lower than in other previous studies without the limitation of occupational characteristics. Prevention and control measures for dyslipidemia should take into account the characteristics and related factors for this population group.
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Affiliation(s)
- Dongxing Gu
- Department of Information Center, Huadong Sanatorium, Wuxi, 214065, China
| | - Dandan Wang
- School of Public Health, Fudan University, 130 Dong'an Rd, Xuhui District, Shanghai, 200032, China
| | - Qinzhong Zhu
- Department of Information Center, Huadong Sanatorium, Wuxi, 214065, China
| | - Li Luo
- School of Public Health, Fudan University, 130 Dong'an Rd, Xuhui District, Shanghai, 200032, China
- Shanghai Institute of Infectious Disease and Biosecurity, Shanghai, 200032, China
| | - Tiantian Zhang
- School of Public Health, Fudan University, 130 Dong'an Rd, Xuhui District, Shanghai, 200032, China.
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Liu L, Fan Y, Wang Z, Liu F, Wang X, Fu J, Li Z, Sun H, Du Y, Yang J, Fan X, Liu B, Zhang L. Disparity in risk factors of ischemic stroke in four coastal-area hospitals in China. Heliyon 2024; 10:e24745. [PMID: 38298663 PMCID: PMC10828064 DOI: 10.1016/j.heliyon.2024.e24745] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2023] [Revised: 12/08/2023] [Accepted: 01/12/2024] [Indexed: 02/02/2024] Open
Abstract
Background Currently, ischemic stroke is the leading cause of death in China. To compare regional differences of ischemic stroke, we analyzed the clinical characteristics of patients with ischemic stroke in four regionally representative hospitals in China. Methods We conducted a retrospective study at four tertiary hospitals in east China, with regionally representative patients. The associated factors include hypertension, diabetes mellitus, coronary heart disease, hyperlipidemia and a combination of these factors. The standardized ratio (SR), estimated as the observed number divided by the expected number, computed as the sum of predicted probabilities from a multivariable logistic regression model derived using data from all other cities, was used to compare to average levels. Results A total of 34,707 patients were included. The number of patients increased with age in all four hospitals and patients were predominantly male. The number of ischemic stroke cases with related factors increased with age, except for hyperlipidemia. There was no significant gender difference when multiple related factors existed simultaneously. Coronary heart disease had a more significant impact on ischemic stroke in Qingdao Municipal Hospital and the First Hospital of Qinhuangdao, while hyperlipidemia had a significant influence on ischemic stroke in the First Hospital of Qinhuangdao. Conclusions At four hospitals in east China, with the increase of age, the risk factors associated with ischemic stroke increased, and the distribution of ischemic stroke-related factors showed regional differences.
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Affiliation(s)
- Luji Liu
- Department of Neurology, the Second Hospital of Hebei Medical University, Shijiazhuang, China
- The Key Laboratory of Neurology (Hebei Medical University), Ministry of Education, Shijiazhuang, China
| | - Yuhua Fan
- Department of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangdong Provincial Key Laboratory for Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, Guangzhou, China
| | - Zhaolu Wang
- Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Fei Liu
- Department of Orthopaedics, The First Hospital of Qin Huang Dao, Qinhuangdao, China
| | - Xin Wang
- Department of Neurology, The Qingdao Municipal Hospital, Qingdao, China
| | - Jinsheng Fu
- Department of Neurology, the Second Hospital of Hebei Medical University, Shijiazhuang, China
- The Key Laboratory of Neurology (Hebei Medical University), Ministry of Education, Shijiazhuang, China
| | - Zhenzhong Li
- Department of Neurology, the Second Hospital of Hebei Medical University, Shijiazhuang, China
- The Key Laboratory of Neurology (Hebei Medical University), Ministry of Education, Shijiazhuang, China
| | - Huilian Sun
- Department of Clinical Epidemiology and Evidence-Based Medicine, the Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Yuanyuan Du
- Department of Neurology, the Second Hospital of Hebei Medical University, Shijiazhuang, China
- The Key Laboratory of Neurology (Hebei Medical University), Ministry of Education, Shijiazhuang, China
| | - Jie Yang
- Maternal-Infant Care Research Centre (MiCare), Mount Sinai Hospital, Toronto, ON, Canada
| | - Xiaoyan Fan
- School of Public Health, Hebei Medical University, Shijiazhuang, China
| | - Bo Liu
- Department of Neurology, the Second Hospital of Hebei Medical University, Shijiazhuang, China
- The Key Laboratory of Neurology (Hebei Medical University), Ministry of Education, Shijiazhuang, China
| | - Lihong Zhang
- Department of Neurology, the Second Hospital of Hebei Medical University, Shijiazhuang, China
- The Key Laboratory of Neurology (Hebei Medical University), Ministry of Education, Shijiazhuang, China
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Chen Y, Du J, Zhou N, Song Y, Wang W, Hong X. Prevalence, awareness, treatment and control of dyslipidaemia and their determinants: results from a population-based survey of 60 283 residents in eastern China. BMJ Open 2023; 13:e075860. [PMID: 38128931 DOI: 10.1136/bmjopen-2023-075860] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2023] Open
Abstract
OBJECTIVES To investigate the prevalence, awareness, treatment and control of dyslipidaemia and its associated factors in eastern China. DESIGN Cross-sectional study. SETTING Data were collected from the 2017 Nanjing Chronic Disease and Risk Factor Surveillance. PARTICIPANTS This study included 60 283 participants aged ≥18 years. OUTCOME MEASURES Prevalence of dyslipidaemia was defined as self-reported history of dyslipidaemia and/or the use of lipid-lowering medication, and/or meeting at least one of the following during on-site investigation: total cholesterol ≥6.2 mmol/L, triglyceride ≥2.3 mmol/L, low-density lipoprotein cholesterol ≥4.1 mmol/L and high-density lipoprotein cholesterol <1.0 mmol/L. Dyslipidaemia awareness was defined as the proportion of patients with dyslipidaemia who explicitly indicate their awareness of having a diagnosis of dyslipidaemia. Treatment was based on medication use among individuals with dyslipidaemia. Control was defined as having dyslipidaemia, receiving treatment and achieving serum lipid control to the standard level. ANALYSIS Complex weighting was used to calculate weighted prevalence. A two-level logistic regression model determined the influencing factors for dyslipidaemia prevalence, awareness, treatment and control. RESULTS The crude prevalence rate of dyslipidaemia was 28.4% (17 093 of 60 283). Among 17 093 patients with dyslipidaemia, the crude rates of awareness, treatment and control were 40.0% (n=6830), 27.5% (n=4695) and 21.9% (n=3736), respectively. The corresponding weighted prevalence rates were 29.8%, 41.6%, 28.9% and 22.9%. Older age (OR 2.03, 95% CI 1.82 to 2.23), urban residence (1.24, 1.19 to 1.31), higher education level (1.31, 1.21 to 1.42), current smoking (1.22, 1.15 to 1.29), alcohol consumption (1.20, 1.14 to 1.26), obesity (2.13, 1.99 to 2.29), history of hypertension (1.64, 1.56 to 1.71) and diabetes (1.92, 1.80 to 2.04) were identified as independent risk factors for dyslipidaemia (all p<0.001). Participants who were older, female, living in urban areas, had higher education levels, did not smoke or drink alcohol, had central obesity, had hypertension or had diabetes were more likely to be aware of their dyslipidaemia conditions, receive treatment and achieve serum lipid control to a standard level than their comparators (all p<0.05). CONCLUSIONS The prevalence of dyslipidaemia is relatively high in eastern China; however, awareness, treatment and control levels are relatively low.
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Affiliation(s)
- Yijia Chen
- Department of Chronic and Noncommunicable Disease Prevention, Nanjing Medical University Affiliated Nanjing Center for Disease Control and Prevention, Nanjing, China
| | - Jinling Du
- Department of Chronic and Noncommunicable Disease Prevention, Nanjing Medical University Affiliated Nanjing Center for Disease Control and Prevention, Nanjing, China
- Department of Epidemiology and Biostatistics, Nanjing Medical University, Nanjing, China
| | - Nan Zhou
- Nanjing Municipal Center for Disease Control and Prevention, Nanjing, China
| | - Yingqian Song
- Department of Chronic and Noncommunicable Disease Prevention, Nanjing Medical University Affiliated Nanjing Center for Disease Control and Prevention, Nanjing, China
- Department of Epidemiology and Biostatistics, Nanjing Medical University, Nanjing, China
| | - Weiwei Wang
- Department of Chronic and Noncommunicable Disease Prevention, Nanjing Medical University Affiliated Nanjing Center for Disease Control and Prevention, Nanjing, China
| | - Xin Hong
- Department of Chronic and Noncommunicable Disease Prevention, Nanjing Medical University Affiliated Nanjing Center for Disease Control and Prevention, Nanjing, China
- Department of Epidemiology and Biostatistics, Nanjing Medical University, Nanjing, China
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Leite JMRS, Pereira JL, Damasceno NRT, Soler JMP, Fisberg RM, Rogero MM, Sarti FM. Association of dyslipidemia with single nucleotide polymorphisms of the cholesteryl ester transfer protein gene and cardiovascular disease risk factors in a highly admixed population. Clin Nutr ESPEN 2023; 58:242-252. [PMID: 38057013 DOI: 10.1016/j.clnesp.2023.10.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 10/04/2023] [Accepted: 10/04/2023] [Indexed: 12/08/2023]
Abstract
BACKGROUND AND AIMS Cardiovascular diseases (CVD) are major causes of mortality worldwide, leading to premature deaths, loss of quality of life, and extensive socioeconomic impacts. Alterations in normal plasma lipid concentrations comprise important risk factors associated with CVD due to mechanisms involved in the pathophysiology of atherosclerosis. Genetic markers such as single nucleotide polymorphisms (SNPs) are known to be associated with lipid metabolism, including variants in the cholesteryl ester transfer protein (CETP) gene. Thus, the study's objective was to assess the relationship among lipid profile, socioeconomic and demographic characteristics, health status, inflammatory biomarkers, and CETP genetic variants in individuals living in a highly admixed population. METHODS The study comprises an analysis of observational cross-sectional data representative at the population level from a highly admixed population, encompassing 901 individuals from three age groups (adolescents, adults, and older adults). Socioeconomic, demographic, health, and lifestyle characteristics were collected using semi-structured questionnaires. In addition, biochemical markers and lipid profiles were obtained from individuals' blood samples. After DNA extraction, genotyping, and quality control according to Affymetrix's guidelines, information on 15 SNPs in the CETP gene was available for 707 individuals. Lipid profile and CVD risk factors were evaluated by principal component analysis (PCA), and associations between lipid traits and those factors were assessed through multiple linear regression and logistic regression. RESULTS There were low linear correlations between lipid profile and other individuals' characteristics. Two principal components were responsible for 80.8 % of the total variance, and there were minor differences in lipid profiles among individuals in different age groups. Non-HDL-c, total cholesterol, and LDL-c had the highest loadings in the first PC, and triacylglycerols, VLDL-c and HDL-c were responsible for a major part of the loading in the second PC;, whilst HDL-c and LDL-c/HDL-c ratio were significant in the third PC. In addition, there were minor differences between groups of individuals with or without dyslipidemia regarding inflammatory biomarkers (IL-1β, IL- 6, IL-10, TNF-α, CRP, and MCP-1). Being overweight, insulin resistance, and lifestyle characteristics (calories from solid fat, added sugar, alcohol and sodium, leisure physical activity, and smoking) were strong predictors of lipid traits, especially HDL-c and dyslipidemia (p < 0.05). The CETP SNPs rs7499892 and rs12691052, rs291044, and rs80180245 were significantly associated with HDL-c (p < 0.05), and their inclusion in the multiple linear regression model increased its accuracy (adjusted R2 rose from 0.12 to 0.18). CONCLUSION This study identified correlations between lipid traits and other CVD risk factors. In addition, similar lipid and inflammatory profiles across age groups in the population suggested that adolescents might already present a significant risk for developing cardiovascular diseases in the population. The risk can be primarily attributed to decreased HDL-c concentrations, which appear to be influenced by genetic factors, as evidenced by associations between SNPs in the CETP gene and HDL-c concentrations, as well as potential gene-diet interactions. Our findings underscore the significant impact of genetic and lifestyle factors on lipid profile within admixed populations in developing countries.
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Affiliation(s)
- Jean Michel R S Leite
- Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil.
| | - Jaqueline L Pereira
- Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil
| | - Nágila R T Damasceno
- Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil
| | - Júlia M Pavan Soler
- Institute of Mathematics and Statistics, University of São Paulo, São Paulo, Brazil
| | - Regina M Fisberg
- Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil
| | - Marcelo M Rogero
- Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil
| | - Flavia M Sarti
- School of Arts, Sciences and Humanities, University of São Paulo, Brazil
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Adhikaree J, Shrestha R, Bomjan P, Shrestha A, Pokharel S, Acharya R, Siwakoti A, Pokhrel R, Marzo RR, Rajbhandari PMS, Acharya S. Effect of menstrual status on lipid profile: A cross-sectional study in a tertiary care hospital in Nepal. Post Reprod Health 2023; 29:195-200. [PMID: 37907067 DOI: 10.1177/20533691231213301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2023]
Abstract
Background: The ovarian follicular cell's degradation and subsequent decrease in the synthesis of estrogen results in the decreased cardiovascular protection. As a result, the incidence of cardiovascular disease (CVD) increases in postmenopausal women and is characterized by change in lipid profile. This study sought to ascertain the extent of the impact that menstrual status might have on lipid profiles among premenopausal and postmenopausal women. Methods: A cross-sectional study was conducted with 260 premenopausal and postmenopausal women (1: 1) and serum lipid component concentrations (high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), triglycerides (TGs), and total cholesterol (TC)) were measured. A comparison between two groups was made between premenopausal and postmenopausal women, and regression was carried out to estimate the effect of menstrual status on lipid components. Results: Compared with premenopausal women, the concentrations of the lipid components (HDL-C, LDL-C, TG, and TC) were found to be significantly higher in postmenopausal women. Using the linear regression, menstruation status was able to predict 11.7%-13.3% of the lipid components (TG and TC) when age and weight were adjusted. Conclusion: The difference in lipid components between premenopausal women and postmenopausal women exists, with menstrual status explaining 11.7%-13.3% variance for the observed lipid level. The factors influencing the lipid profile beside the menstrual status should also be explored. External intervention such as estrogen replacement therapy is also recommended in case of deviation of lipid profile from the suggested normal clinical range.
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Affiliation(s)
- Jasper Adhikaree
- Department of Medical Biochemistry, Nobel College, Pokhara University, Kathmandu, Nepal
| | - Ruyusha Shrestha
- Department of Medical Biochemistry, Nobel College, Pokhara University, Kathmandu, Nepal
| | - Prabina Bomjan
- Department of Medical Biochemistry, Nobel College, Pokhara University, Kathmandu, Nepal
| | - Ashmita Shrestha
- Department of Medical Biochemistry, Nobel College, Pokhara University, Kathmandu, Nepal
| | - Shreya Pokharel
- Department of Medical Biochemistry, Nobel College, Pokhara University, Kathmandu, Nepal
| | - Rashila Acharya
- Department of Medical Biochemistry, Nobel College, Pokhara University, Kathmandu, Nepal
| | - Anusha Siwakoti
- Department of Medical Biochemistry, Nobel College, Pokhara University, Kathmandu, Nepal
| | - Ritesh Pokhrel
- Department of Medical Biochemistry, Nobel College, Pokhara University, Kathmandu, Nepal
| | - Roy Rillera Marzo
- Department of Community Medicine, International Medical School, Management and Science University, Shah Alam, Malaysia
| | | | - Swosti Acharya
- Department of Nursing, Manmohan Cardiothoracic Vascular and Transplant Center, Institute of Medicine, Tribhuvan University Teaching Hospital, Kathmandu, Nepal
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Du Y, Yang L, An Y, Song Y, Lu Y. Health-related quality of life and associated factors in elderly individuals with dyslipidemia in rural Northern China. Qual Life Res 2023; 32:3547-3555. [PMID: 37495839 DOI: 10.1007/s11136-023-03489-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/12/2023] [Indexed: 07/28/2023]
Abstract
PURPOSE The purpose of the study was to investigate health-related quality of life (HRQOL) and its associated factors among elderly individuals with dyslipidemia in rural Northern China. METHODS A cross-sectional study was conducted on 457 elderly individuals. The EQ-5D-5L questionnaire was used to assess HRQOL. Sociodemographic, anthropometric, lifestyle and health information was collected using a structured and standardized questionnaire. The Tobit regression model and multiple linear regression analysis were used to assess factors associated with HRQOL parameters including utility index and visual analogue score (EQ-VAS). RESULTS The mean age of the participating individuals was 68.04 ± 5.98 years. The median utility index and EQ-VAS scores were 0.942 (P25-P75: 0.876-1.000) and 80 (P25-P75: 70-90), respectively. Pain/discomfort was the most frequently reported complaint among the five health dimensions (50.5%). Illiterate and primary education levels, unemployed, widowed, smoking, secondhand smoke exposure, with hypertension or DM, chronic disease core knowledge scores < 8, and daily sedentary time ≥ 6 h were associated with lower HRQOL. CONCLUSION Pain/discomfort dimension was the most affected problems. Education, occupation, marital status, smoking, secondhand smoke exposure, chronic disease core knowledge, comorbidities, and daily sedentary time were significantly associated with HRQOL in the present study.
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Affiliation(s)
- Yage Du
- School of Nursing, Peking University, Beijing, 100191, China
| | - Liuqing Yang
- Linyi Center for Disease Control and Prevention, Linyi, 276000, Shandong, China
| | - Yu An
- Department of Endocrinology, Beijing Chaoyang Hospital, Beijing, 100020, China
| | - Ying Song
- School of Nursing, Peking University, Beijing, 100191, China
| | - Yanhui Lu
- School of Nursing, Peking University, Beijing, 100191, China.
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Wang H, Mo Z, Sui H, Qi Y, Xu P, Zheng J, Zhang T, Qi X, Cui C. Association of baseline and dynamic arterial stiffness status with dyslipidemia: a cohort study. Front Endocrinol (Lausanne) 2023; 14:1243673. [PMID: 38075050 PMCID: PMC10704037 DOI: 10.3389/fendo.2023.1243673] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Accepted: 11/08/2023] [Indexed: 12/18/2023] Open
Abstract
Background and aims Dyslipidemia is known to contribute to arterial stiffness, while the inverse association remains unknown. This study aimed to explore the association of baseline arterial stiffness and its changes, as determined by brachial-ankle pulse wave velocity (baPWV), with dyslipidemia onset in the general population. Methods This study enrolled participants from Beijing Health Management Cohort using measurements of the first visit from 2012 to 2013 as baseline, and followed until the dyslipidemia onset or the end of 2019. Unadjusted and adjusted Cox proportional regression models were used to evaluate the associations of baseline baPWV and baPWV transition (persistent low, onset, remitted and persistent high) with incident dyslipidemia. Results Of 4362 individuals (mean age: 55.5 years), 1490 (34.2%) developed dyslipidemia during a median follow-up of 5.9 years. After adjusting for potential confounders, participants with elevated arterial stiffness at baseline had an increased risk of dyslipidemia (HR, 1.194; 95% CI, 1.050-1.358). Compared with persistent low baPWV, new-onset and persistent high baPWV were associated with a 51.2% and 37.1% excess risk of dyslipidemia. Conclusion The findings indicated that arterial stiffness is an early risk factor of dyslipidemia, suggesting a bidirectional association between arterial stiffness and lipid metabolism.
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Affiliation(s)
| | | | | | | | | | | | | | - Xin Qi
- China-Japan Union Hospital of Jilin University, Jilin University, Jilin, China
| | - Cancan Cui
- China-Japan Union Hospital of Jilin University, Jilin University, Jilin, China
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Kargar S, Ansari H. Prevalence of dyslipidemias in the Middle East region: A systematic review & meta-analysis study. Diabetes Metab Syndr 2023; 17:102870. [PMID: 37844434 DOI: 10.1016/j.dsx.2023.102870] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 09/23/2023] [Accepted: 09/26/2023] [Indexed: 10/18/2023]
Abstract
BACKGROUND AND AIMS Dyslipidemia is a known main risk factor for cardiovascular diseases, and it can be controlled to reduce the incidence of cardiovascular diseases. This meta-analysis aimed to estimate the prevalence of dyslipidemias in the Middle East. METHODS The relevant published articles between 2000 and 2021 that investigated the prevalence of dyslipidaemias in the Middle East were found through international data sources such as Medline, PubMed, and Google Scholar. The random-effects model was used to estimate the pooled prevalence with 95% confidence intervals. RESULTS The pooled prevalence of dyslipidemias, hypertriglyceridemia, hypercholesterolemia, high levels of low-density lipoprotein cholesterol and low levels of high-density lipoprotein cholesterol in the Middle East were 54.08% (95% CI: 43.83-66.71), 32.51% (95% CI: 28.59-36.43), 29.44% (95% CI: 18.74-40.13), 32.09% (95% CI: 22.17-42.01), 44.71% (95% CI: 37.86-51.57), respectively. During the last two decades, an increasing trend in the prevalence of dyslipidemias was observed overall and in both sexes. Also, the age groups over 30 significantly had the highest prevalence of hypercholesterolemia, high levels of low-density lipoprotein cholesterol, and low levels of high-density lipoprotein cholesterol (p < 0.05). CONCLUSIONS The increasing trend in the prevalence of dyslipidemias during the last two decades is an alarming and significant concern in the Middle East. Therefore, special measures are needed to deal with dyslipidemias as a health priority in the Middle East.
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Affiliation(s)
- Shiva Kargar
- Department of Epidemiology and Biostatistics, Zahedan University of Medical Sciences, Zahedan, Iran.
| | - Hossein Ansari
- Department of Epidemiology and Biostatistics, Zahedan University of Medical Sciences, Zahedan, Iran.
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Motuma A, Shiferaw K, Gobena T, Teji Roba K, Berhane Y, Worku A. Dyslipidemia and its predictors among adult workers in eastern Ethiopia: An institution-based cross-sectional study. PLoS One 2023; 18:e0291665. [PMID: 37812638 PMCID: PMC10561842 DOI: 10.1371/journal.pone.0291665] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 09/03/2023] [Indexed: 10/11/2023] Open
Abstract
INTRODUCTION Dyslipidemia is a modifiable major risk factor for coronary heart disease. Although, the prevalence of dyslipidemia in high-income countries has been well documented, there is dearth of information about the dyslipidemia among working adults in sub-Saharan African countries including Ethiopia. Therefore, this study aimed to determine the magnitude of dyslipidemia and its associated factors among Haramaya University employees, in Eastern Ethiopia. METHODS A cross-sectional study was conducted among 1,200 university employees aged 20 to 60 years. Study participants were selected using a simple random sampling method. Data were collected face-to-face interview using a semi-structured questionnaire. Dyslipidemia was defined as unhealthy levels of one or more lipid profile such as high-density lipoprotein, low-density lipoprotein, triglycerides or total cholesterol. Data were entered into Epidata version 3.1 and analyzed using STATA version 16.1 software. Modified Poisson regression with robust variance was used to estimate adjusted prevalence ratios (APR) with its 95% confidence intervals. Statistical significance was declared at P-value < 0.05. RESULTS Of 1,164 participants, 59.6% participants had at least one lipid abnormality (i.e., 57.9% among men and 61.5% among women). Of which, 36.8% had high total cholesterol (TC), 21.6% had low high density lipoprotein cholesterol (HDL-c), 22.4% had high low density lipoprotein cholesterol (LDL-c), and 32.6% had high triglyceride (TG). We found that overweight/obesity, sedentary behavior, alcohol consumption, having hypertension and age 45 and above years were significant predictors of dyslipidemia. However, those who served fruit and vegetables more than five per day had significantly reduced prevalence ratio of dyslipidemia. CONCLUSIONS The high prevalent dyslipidemia among university employees is an important public health problem. Hence, tailored interventions to reduce overweight/obesity, hypertension, alcohol consumption and low fruit and vegetable intake have paramount importance to tackle dyslipidemia particularly among older age.
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Affiliation(s)
- Aboma Motuma
- School of Nursing and Midwifery, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia
| | - Kasiye Shiferaw
- School of Nursing and Midwifery, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia
| | - Tesfaye Gobena
- Department of Environmental Health Science, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia
| | - Kedir Teji Roba
- School of Nursing and Midwifery, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia
| | - Yemane Berhane
- Department of Epidemiology and Biostatics, Addis Continental Institute of Public Health, Addis Ababa, Ethiopia
| | - Alemayehu Worku
- Department of Epidemiology and Biostatistics, School of Public Health, Addis Ababa University, Addis Ababa, Ethiopia
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Zeng W, Jin Q, Wang X. Reassessing the Effects of Dietary Fat on Cardiovascular Disease in China: A Review of the Last Three Decades. Nutrients 2023; 15:4214. [PMID: 37836498 PMCID: PMC10574257 DOI: 10.3390/nu15194214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 09/27/2023] [Accepted: 09/27/2023] [Indexed: 10/15/2023] Open
Abstract
Cardiovascular disease (CVD) is a leading cause of global mortality, and is considered one of diseases with the most rapid growth rate in China. Numerous studies have indicated a closed relationship between an increased incidence of CVD and dietary factors. Dietary fat is one of the three primary nutrients of consumption; however, high fat dietary in causing CVD has been neglected in some official dietary guidelines. Our present review has analyzed the relationship between dietary fat consumption and CVD in China over the past 30 years (from 1990 to 2019). There is a significant correlation between CVD incidence and mortality for consumption of both vegetable oils and animal fats, per capita consumption, and the relative weight of dietary fat exceeding that of other food ingredients (e.g., salt, fruit, and marine food). For fatty acid species, the proportion of ω6 fatty acid consumption increased, causing a significant increase in the ratios of ω6/ω3 fatty acids, whereas the proportion of monounsaturated fatty acid consumption decreased. Such changes have been considered a characteristic of dietary fat consumption in Chinese residents over the past 30 years, and are closely related to the incidence of CVD. Therefore, we suggest that the government should spread awareness regarding the consumption of dietary fat intake to prevent CVD and related health disorders. The public should be educated to avoid high fat diet and increase the intake of monounsaturated fatty acids and ω3 fatty acids.
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Affiliation(s)
- Wei Zeng
- State Key Lab of Food Science and Resources, School of Food Science and Technology, Jiangnan University, 1800 Lihu Avenue, Wuxi 214122, China; (W.Z.); (Q.J.)
- Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Ministry of Education, School of Basic Medicine, Gannan Medical University, 1 Hexie Avenue, Ganzhou 341000, China
| | - Qingzhe Jin
- State Key Lab of Food Science and Resources, School of Food Science and Technology, Jiangnan University, 1800 Lihu Avenue, Wuxi 214122, China; (W.Z.); (Q.J.)
| | - Xingguo Wang
- State Key Lab of Food Science and Resources, School of Food Science and Technology, Jiangnan University, 1800 Lihu Avenue, Wuxi 214122, China; (W.Z.); (Q.J.)
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11
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Hu LK, Liu YH, Yang K, Chen N, Ma LL, Yan YX. Association between hypertriglyceridemic-waist phenotype and circadian syndrome risk: a longitudinal cohort study. Hormones (Athens) 2023; 22:457-466. [PMID: 37423976 DOI: 10.1007/s42000-023-00462-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Accepted: 06/22/2023] [Indexed: 07/11/2023]
Abstract
Recently, circadian syndrome (CircS) has been proposed as a new predictor of cardiometabolic risk. We aimed to investigate the relationship between the hypertriglyceridemic-waist phenotype and its dynamic status with CircS in China. We conducted a two-stage study based on the China Health and Retirement Longitudinal Study (CHARLS) from 2011 to 2015. Multivariate logistic regression models in cross-sectional analysis and Cox proportional hazards regression models in longitudinal analysis were used to estimate the associations of hypertriglyceridemic-waist phenotypes with CircS and its components. We then applied multiple logistic regression analysis to evaluate the odds ratios (ORs) and 95% confidence intervals (CIs) for CircS risk by transformation into the hypertriglyceridemic-waist phenotype. A total of 9863 participants were included in the cross-sectional analysis and 3884 participants in the longitudinal analysis. Compared with normal waist circumference (WC) and normal triglyceride (TG) level (NWNT), CircS risk was increased with enlarged WC and high TG level (EWHT) (hazard ratio (HR) 3.87 [95% CI: 2.38, 5.39]). Similar results were observed in subgroup analyses by sex, age, smoking status, and drinking status. During follow-up, CircS risk was increased in group K (stable EWNT during follow-up) (OR 9.97 [95% CI: 6.41, 15.49]) compared with group A (stable NWNT during follow-up), while group L (baseline enlarged WC and normal TG level transformed to follow-up EWHT) had the highest risk of CircS (OR 116.07 [95% CI: 72.77, 185.14]). In conclusion, the hypertriglyceridemic-waist phenotype and its dynamic status were associated with the risk of developing CircS in Chinese adults.
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Affiliation(s)
- Li-Kun Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, No. 10 Xitoutiao, You'anmenWai, Fengtai District, Beijing, 100069, China
| | - Yu-Hong Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, No. 10 Xitoutiao, You'anmenWai, Fengtai District, Beijing, 100069, China
| | - Kun Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, No. 10 Xitoutiao, You'anmenWai, Fengtai District, Beijing, 100069, China
| | - Ning Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, No. 10 Xitoutiao, You'anmenWai, Fengtai District, Beijing, 100069, China
| | - Lin-Lin Ma
- Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, No. 10 Xitoutiao, You'anmenWai, Fengtai District, Beijing, 100069, China
| | - Yu-Xiang Yan
- Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, No. 10 Xitoutiao, You'anmenWai, Fengtai District, Beijing, 100069, China.
- Municipal Key Laboratory of Clinical Epidemiology, Beijing, 100069, China.
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Shrestha R, Gurung P, Lim J, Thapa Magar TB, Kim CW, Lee HY, Kim YW. Anti-Obesity Effect of Chlorin e6-Mediated Photodynamic Therapy on Mice with High-Fat-Diet-Induced Obesity. Pharmaceuticals (Basel) 2023; 16:1053. [PMID: 37513964 PMCID: PMC10384435 DOI: 10.3390/ph16071053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Revised: 07/20/2023] [Accepted: 07/21/2023] [Indexed: 07/30/2023] Open
Abstract
This study aimed to evaluate the efficacy of Chlorin e6 (Ce6)-based photodynamic therapy (PDT) for anti-obesity activities in high-fat-diet (HFD)-induced obesity mouse models. We induced obesity in C57BL/6 mice by HFD and administered Ce6 (2.5 or 5 mg/kg) orally with 3 h of incubation. The mice were then exposed to light of high fluence rate (4.96 mW/cm2) or low fluence rate (2.56 mW/cm2) in the designed LED mouse chamber 2-3 days a week for up to 8 weeks. The study also analyzed the pharmacokinetics and optimization of the drug by evaluating the absorption, distribution, metabolism, and excretion (ADME) of Ce6 in the rat models. Both low doses (2.5 mg/kg) and high doses (5 mg/kg) of Ce6 with high irradiation dose showed better anti-obesity effects than other groups with decreased body weight. The lipid accumulation in the liver and adipocyte size in epididymal adipose tissues were found to be decreased by Ce6-PDT in comparison to vehicle-treated HFD groups. We also observed increased levels of the lipidomic biomarkers, such as leptin and LDL cholesterol, while observing decreasing levels of total cholesterol and adiponectin in the Ce6-PDT-treated mice. These findings may provide valuable insight into Ce6-PDT as an alternative and non-invasive therapeutic methodology for obesity and obesity-related diseases.
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Affiliation(s)
- Rajeev Shrestha
- Dongsung Cancer Center, Dongsung Biopharmaceutical, Daegu 41061, Republic of Korea
| | - Pallavi Gurung
- Dongsung Cancer Center, Dongsung Biopharmaceutical, Daegu 41061, Republic of Korea
| | - Junmo Lim
- Dongsung Cancer Center, Dongsung Biopharmaceutical, Daegu 41061, Republic of Korea
| | | | - Cheong-Wun Kim
- Dongsung Cancer Center, Dongsung Biopharmaceutical, Daegu 41061, Republic of Korea
| | - Hak Yong Lee
- INVIVO Co., Ltd., Nonsan 32992, Republic of Korea
| | - Yong-Wan Kim
- Dongsung Cancer Center, Dongsung Biopharmaceutical, Daegu 41061, Republic of Korea
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Xia Q, Chen Y, Yu Z, Huang Z, Yang Y, Mao A, Qiu W. Prevalence, awareness, treatment, and control of dyslipidemia in Chinese adults: a systematic review and meta-analysis. Front Cardiovasc Med 2023; 10:1186330. [PMID: 37476570 PMCID: PMC10354280 DOI: 10.3389/fcvm.2023.1186330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 06/14/2023] [Indexed: 07/22/2023] Open
Abstract
Background Researchers have conducted a considerable number of epidemiological studies on dyslipidemia in China over recent years. Nevertheless, a representative study to comprehensively appraise for the epidemiological status of dyslipidemia is still lacked. This meta-analysis is intended to explore the pooled prevalence, rates of awareness, treatment, and control of dyslipidemia among adults in Chinese Mainland. Materials and methods A systematic review was performed on relevant cross-sectional studies published since January 2012 by searching six authoritative literature databases. Meta-analyses were conducted in included studies based on a random-effect model to summarize the epidemiological status of dyslipidemia in China. A potential source of heterogeneity was detected by subgroup analysis and meta-regression. Publication bias was assessed by Egger's test and funnel plots. A sensitivity analysis was conducted to examine the study quality's influence on the pooled estimate of prevalence and rates of awareness, treatment, and control. Results Forty-one original researches with a total of 1,310,402 Chinese participants were finally included in the meta-analysis. The prevalence, rates of awareness, treatment, and control of dyslipidemia were 42.1%, 18.2%, 11.6%, and 5.4%, respectively. With a pooled prevalence estimate at 24.5%, low HDL-C was the most prevalent among various dyslipidemia types, followed by hypertriglyceridemia (TG) (15.4%), hypercholesterolemia (TC) (8.3%), and high LDL-C (7.1%). The pooled prevalence of elevated serum lipoprotein(a) [Lp(a)] was 19.4%. By gender, the prevalence of dyslipidemia was 47.3% in males and 38.8% in females. Subgroup analyses revealed that the prevalence in southern and urban areas were higher than their counterparts. Females and population in urban areas tended to possess higher rates of awareness, treatment, and control. Meta-regression analyses suggested that the year of screening influenced prevalence estimates for dyslipidemia. The impact of the study's quality on the pooled estimates is insignificant. Conclusion Our study suggested a severe epidemic situation of dyslipidemia among adults in Chinese Mainland. More importantly, the awareness, treatment, and control rates were extremely low, revealing that dyslipidemia is a grave health issue. Consequently, we should attach more importance to the management of dyslipidemia, especially in economically underdeveloped areas. Systematic review registration PROSPERO [CRD42022366456].
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Affiliation(s)
- Qianhang Xia
- Institute of Medical Information/Library, Chinese Academy of Medical Sciences, Beijing, China
- Peking Union Medical College, Beijing, China
| | - Yuquan Chen
- Institute of Medical Information/Library, Chinese Academy of Medical Sciences, Beijing, China
- Peking Union Medical College, Beijing, China
| | - Zijing Yu
- Institute of Medical Information/Library, Chinese Academy of Medical Sciences, Beijing, China
- Peking Union Medical College, Beijing, China
| | - Zhongyue Huang
- Institute of Medical Information/Library, Chinese Academy of Medical Sciences, Beijing, China
- Peking Union Medical College, Beijing, China
| | - Yujie Yang
- Institute of Medical Information/Library, Chinese Academy of Medical Sciences, Beijing, China
- Peking Union Medical College, Beijing, China
| | - Ayan Mao
- Institute of Medical Information/Library, Chinese Academy of Medical Sciences, Beijing, China
- Peking Union Medical College, Beijing, China
| | - Wuqi Qiu
- Institute of Medical Information/Library, Chinese Academy of Medical Sciences, Beijing, China
- Peking Union Medical College, Beijing, China
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14
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Belete AK, Kassaw AT, Yirsaw BG, Taye BA, Ambaw SN, Mekonnen BA, Sendekie AK. Prevalence of Hypercholesterolemia and Awareness of Risk Factors, Prevention and Management Among Adults Visiting Referral Hospital in Ethiopia. Vasc Health Risk Manag 2023; 19:181-191. [PMID: 37020462 PMCID: PMC10069426 DOI: 10.2147/vhrm.s408703] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Accepted: 03/27/2023] [Indexed: 03/31/2023] Open
Abstract
Background Unhealthy lifestyles and physical inactivity are among the contributing factors of hypercholesterolemia. This study assessed the prevalence, awareness of risk factors, and prevention and treatment of hypercholesterolemia among adults who visited Woldia referral hospital, Northeast Ethiopia. Methods A cross-sectional survey was conducted among adults who visited Woldia referral hospital from May to August 2022. Data was collected using a structured questionnaire through a face-to-face interview and patient medical record review. Logistic regression analysis was employed to determine the association between hypercholesterolemia and other variables. A p-value at a 95% confidence level was statistically significant. Results A total of 1180 eligible adults were included in the study. The magnitude of hypercholesterolemia was 26.4%. The majority of the respondents were aware of some risk factors, such as higher fat intake (82.3%), obesity (67.2%), and lack of adequate exercise (56.1%). However, the majority of the respondents were not aware that smoking, alcohol consumption, and age (86.8% for all) had cardiovascular risk. The majority of the respondents were aware that eating a limited amount of saturated fat (56.5%), maintaining a healthy weight (67.2%), and taking prescribed medications properly (86.8%) can prevent the risk of hypercholesterolemia. However, a larger proportion of respondents were unaware that smoking cessation (86.8%), exercise (55.3%), alcohol restriction (86.8%), and stress avoidance (75.3%) can prevent cardiovascular risks. Age (p = 0.036), smoking (p = 0.007), alcohol use (p = 0.013), fruit consumption (p = 0.019), saturated oil use (p = 0.031), level of physical activity (p < 0.001), and body mass index (p = 0.03) were significantly associated with hypercholesterolemia. Conclusion This study concluded that more than one-fourth of adults had hypercholesterolemia. The majority of the respondents did not have an awareness of common cardiovascular risk factors and prevention and treatment techniques regarding unhealthy lifestyles and physical inactivity.
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Affiliation(s)
- Aychew Kassa Belete
- Department of Sport Science, Faculty of Natural and Computational Science, Woldia University, Woldia, Ethiopia
| | - Abebe Tarekegn Kassaw
- Department of Pharmacy, College of Medicine and Health Sciences, Woldia University, Woldia, Ethiopia
| | - Bantie Getnet Yirsaw
- Department of Statistics, Faculty of Natural and Computational Science, Woldia University, Woldia, Ethiopia
| | - Birhan Ambachew Taye
- Department of Statistics, Faculty of Natural and Computational Science, Woldia University, Woldia, Ethiopia
| | - Samueal Nigatie Ambaw
- Department of Sport Science, Faculty of Natural and Computational Science, Woldia University, Woldia, Ethiopia
| | - Biset Asrade Mekonnen
- Department of Pharmaceutical Analysis, School of Pharmacy, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia
| | - Ashenafi Kibret Sendekie
- Department of Clinical Pharmacy, School of Pharmacy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
- Correspondence: Ashenafi Kibret Sendekie, Email
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15
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Zhao M, Yin G, Xu J, Ge X, Li A, Mei Y, Wu J, Liu X, Wei L, Xu Q. Independent, combine and interactive effects of heavy metal exposure on dyslipidemia biomarkers: A cross-sectional study in northeastern China. Ecotoxicol Environ Saf 2023; 250:114494. [PMID: 36608569 DOI: 10.1016/j.ecoenv.2022.114494] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Revised: 12/27/2022] [Accepted: 12/29/2022] [Indexed: 06/17/2023]
Abstract
Dyslipidemia is a common disease in the older population and represents a considerable disease burden worldwide. Epidemiological and experimental studies have indicated associations between heavy metal exposure and dyslipidemia; few studies have investigated the effects of heavy metal mixture and interactions between metals on dyslipidemia. We recruited 1121 participants living in heavy metal-contaminated and control areas in northeast China from a cross-sectional survey (2017-2019). Urinary metals including chromium (Cr), cadmium (Cd), lead (Pb), and manganese (Mn) and dyslipidemia biomarkers, namely triglycerides (TG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C) levels, were measured. The generalized linear model (GLM) was used to explore the association of a single metal with dyslipidemia biomarkers. Bayesian kernel machine regression (BKMR) and multivariable linear regression were performed to explore the overall effect of metal mixture and the interaction between metals on dyslipidemia. Heavy metal mixture was positively associated with LDL-C, TC, and TG and negatively with HDL-C. In multivariable linear regression, Pb and Cd exhibited a synergistic association with LDL-C in the participants without hyperlipemia. Mn-Cd and Pb-Cr also showed a synergistic association with increasing the level of LDL-C in subjects without hyperlipemia. Cd-Cr showed an antagonistic association with HDL-C, respectively. Cr-Mn exhibited an antagonistic association with decreased HDL-C and TG levels. No significant interaction was noted among the three metals. Our study indicated that exposure to heavy metals is associated with dyslipidemia biomarkers and the presence of potential synergistic or antagonistic interactions between the heavy metals.
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Affiliation(s)
- Meiduo Zhao
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Guohuan Yin
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China
| | - Jing Xu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Xiaoyu Ge
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Ang Li
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Yayuan Mei
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Jingtao Wu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Xiaolin Liu
- Department of Epidemiology and Biostatistics, Jinzhou Medical University, Jinzhou 121001, Liaoning, China
| | - Lanping Wei
- Jinzhou Central Hospital, Jinzhou 121001, Liaoning, China
| | - Qun Xu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China.
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16
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Li JM, Yang HY, Wu SH, Dharmage SC, Jalaludin B, Knibbs LD, Bloom MS, Guo Y, Morawska L, Heinrich J, Steve Hung Lam Y, Lin LZ, Zeng XW, Yang BY, Chen GB, Liu RQ, Dong GH, Hu LW. The associations of particulate matter short-term exposure and serum lipids are modified by vitamin D status: A panel study of young healthy adults. Environ Pollut 2023; 317:120686. [PMID: 36400145 DOI: 10.1016/j.envpol.2022.120686] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Revised: 10/26/2022] [Accepted: 11/14/2022] [Indexed: 06/16/2023]
Abstract
Particulate matter (PM) exposure is associated to the adverse change in blood lipids. Vitamin D is beneficial to lipid metabolism, but whether vitamin D levels modifies the impact of air pollutants on lipids is unclear. The purpose of the study was to investigate if vitamin D modifies the associations of PM and serum lipids in young healthy people. From December 2017 to January 2018, a panel study with five once weekly follow-ups was conducted on 88 healthy adults aged 21.09 (1.08) (mean (SD)) years on average in Guangzhou, China. We measured serum lipids, serum 25-hydroxyvitamin D (25(OH)D) concentrations (440 blood samples in total), mass concentrations of particulate matter with diameters ≤2.5 μm (PM2.5), ≤1.0 μm (PM1.0), and ≤0.5 μm (PM0.5), and number concentrations of particulate matter with diameters ≤0.2 μm (PN0.2) and ≤0.1 μm (PN0.1) at each follow-up. Linear mixed-effect models were applied to assess the interaction of vitamin D and size-fractionated PM short-term exposure on four lipid metrics. We found the interactions between 25(OH)D and size-fractionated PM exposure on blood lipids in different lags (lag 3 days and 4 days). An interquartile range increase in PM2.5, PM1.0, PM0.5 were significantly associated with increments of 12.30%, 12.99%, and 13.66% in triglycerides (TGs) at lag 4 days at vitamin D levels <15 ng/mL group, respectively. Similar results were found for PN0.2, PN0.1 and low-density lipoprotein cholesterol (LDL-C). All the associations between size-fractionated PM and blood lipids were found null statistically significant in vitamin D levels ≥15 ng/mL group.
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Affiliation(s)
- Jia-Min Li
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China
| | - Han-Yu Yang
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China
| | - Si-Han Wu
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China
| | - Shyamali C Dharmage
- Allergy and Lung Health Unit, Centre for Epidemiology and Biostatistics, School of Population & Global Health, The University of Melbourne, Melbourne, VIC, 3010, Australia
| | - Bin Jalaludin
- Centre for Research, Evidence Management and Surveillance, South Western Sydney Local Health District, Liverpool, NSW, 2037, Australia; Ingham Institute for Applied Medical Research, Liverpool, NSW, 2170, Australia; School of Public Health and Community Medicine Sydney, University of New South Wales, Sydney, NSW, 2052, Australia
| | - Luke D Knibbs
- School of Public Health, The University of Sydney, NSW, 2006, Australia
| | - Michael S Bloom
- Department of Global and Community Health, George Mason University, Fairfax, VA, 22030, USA
| | - Yuming Guo
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, 3004, Australia
| | - Lidia Morawska
- Queensland University of Technology, International Laboratory for Air Quality & Health, Brisbane, QLD, Australia; Queensland University of Technology, Science and Engineering Faculty, Brisbane, QLD, Australia
| | - Joachim Heinrich
- Institute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, Ziemssenstraße 1, 80336, Munich, Germany; Comprehensive Pneumology Center Munich, German Center for Lung Research, Ziemssenstraße 1, 80336, Munich, Germany
| | - Yim Steve Hung Lam
- Asian School of the Environment, Nanyang Technological University, Singapore; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore; Earth Observatory of Singapore, Nanyang Technological University, Singapore
| | - Li-Zi Lin
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China
| | - Xiao-Wen Zeng
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China
| | - Bo-Yi Yang
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China
| | - Gong-Bo Chen
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China
| | - Ru-Qing Liu
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China
| | - Guang-Hui Dong
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China
| | - Li-Wen Hu
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China.
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Wyszyńska J, Łuszczki E, Sobek G, Mazur A, Dereń K. Association and Risk Factors for Hypertension and Dyslipidemia in Young Adults from Poland. Int J Environ Res Public Health 2023; 20:982. [PMID: 36673736 PMCID: PMC9858900 DOI: 10.3390/ijerph20020982] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 12/31/2022] [Accepted: 01/02/2023] [Indexed: 06/17/2023]
Abstract
Hypertension and dyslipidemia are major risk factors for cardiovascular disease. Studies on the association between abnormal levels of lipids and hypertension have yielded inconsistent results. The aim of this study was to examine the prevalence of hypertension and dyslipidemia and its risk factors in young Polish adults. Furthermore, the association between plasma lipid levels and the risk of hypertension was determined. A cross-sectional study was conducted among 115 volunteer participants. Blood pressure was measured using an automated oscillometric sphygmomanometer. Blood lipids were analyzed from a fasting blood sample received by finger prick. Body fat percentage was assessed using a bioelectrical impedance analysis device. Socioeconomic and lifestyle factors (age, date of birth, place of residence, screen time, and tobacco use) were self-reported by the participant. The prevalence of hypertension was higher in men than in women (61.5 vs. 21.3%). The prevalence of elevated TC, TG, high LDL, and low HDL was 22.6%, 7.8%, 38.3%, and 13.9%, respectively. Spending more than 2 h daily in front of a computer was identified as a significant predictor of hypertension and elevated TG levels (p < 0.05). A high number of cigarettes smoked daily was a significant risk factor for hypertension (p = 0.047). Hypertension contributed to a higher risk of abnormal values of TC (OR = 5.89), LDL (OR = 5.38), and TG (OR = 9.75). Participants with hypertension were more likely than normotensive subjects to have elevated levels of TC, LDL, and TG. The prevalence of hypertension was significantly higher in young men than in women. BMI was associated with the prevalence of hypertension and elevated TC levels. Spending more than 2 h per day in front of a computer contributed to the prevalence of hypertension and elevated TG levels. Participants with hypertension smoked a higher number of cigarettes daily compared to those with normotension.
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Affiliation(s)
- Justyna Wyszyńska
- Institute of Health Sciences, Medical College of Rzeszow University, 35-959 Rzeszow, Poland
| | - Edyta Łuszczki
- Institute of Health Sciences, Medical College of Rzeszow University, 35-959 Rzeszow, Poland
| | - Grzegorz Sobek
- Institute of Health Sciences, Medical College of Rzeszow University, 35-959 Rzeszow, Poland
| | - Artur Mazur
- Institute of Medical Sciences, Medical College of Rzeszow University, 35-959 Rzeszow, Poland
| | - Katarzyna Dereń
- Institute of Health Sciences, Medical College of Rzeszow University, 35-959 Rzeszow, Poland
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Li Q, Jiang Y, Song A, Li Y, Xu X, Xu R. The Association Between Chronological Age and Dyslipidemia: A Cross-Sectional Study in Chinese Aged Population. Clin Interv Aging 2023; 18:667-675. [PMID: 37101655 PMCID: PMC10124621 DOI: 10.2147/cia.s406237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Accepted: 04/14/2023] [Indexed: 04/28/2023] Open
Abstract
Background and Aims Dyslipidemia is obviously an important risk factor for cardiovascular diseases, which might further lead to disability and death in aged population. We thus performed the current study to evaluate the association between chronological age and dyslipidemia. Subjects and Methods A total number of 59,716 Chinese aged population (31,174 men and 28,542 women, average age 67.8y) were included in the current study. Age and sex were abstracted from medical records. Height, body weight, and blood pressure were measured by trained nurses. Serum concentration of total cholesterol (TC) and total triglycerides were performed by enzyme-linked immunosorbent method after at least 8-h fast. Dyslipidemia was defined if total cholesterol≥5.7 mmol/L, or total triglycerides≥1.7 mmol/L, or self-reported history of dyslipidemia. Results The prevalence of dyslipidemia was 50.4% in the current study population. Compared to the youngest age group (60-64y), the adjusted odds ratio was 0.88 (95% CI: 0.84, 0.92), 0.77 (95% CI: 0.73, 0.81), 0.66 (95% CI: 0.61, 0.70), 0.55 (95% CI: 0.50, 0.59) for the participants who were 65 to 69, 70-74, 75-79, and ≥80 years old (p trend <0.001). Excluding participants with low body weight and with overweight and obesity, with high blood pressure and history of hypertension, with high fasting blood glucose and history of diabetes, generated similar results with main analysis. Conclusion Chronological age was closely associated with the risk of dyslipidemia in Chinese aged population.
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Affiliation(s)
- Qingyao Li
- Department of Preventive Medicine, School of Public Health, North China University of Science and Technology, Tangshan, People’s Republic of China
- Department of Clinical Nutrition, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China
| | - Ying Jiang
- Department of Clinical Nutrition, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China
| | - Anqi Song
- Department of Clinical Nutrition, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China
| | - Yun Li
- Department of Preventive Medicine, School of Public Health, North China University of Science and Technology, Tangshan, People’s Republic of China
- Yun Li, Department of Preventive Medicine, School of Public Health, North China University of Science and Technology, Tangshan, People’s Republic of China, Tel +86-315-8805586, Email
| | - Xinyi Xu
- School of Economics and Management, Shanghai Polytechnic University at Jing Hai Road, Shanghai, People’s Republic of China
| | - Renying Xu
- Department of Clinical Nutrition, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China
- Correspondence: Renying Xu, Department of Clinical Nutrition, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, People’s Republic of China, Tel +86-21-68383335, Email
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Sun J, Peng S, Li Z, Liu F, Wu C, Lu Y, Xiang H. Association of Short-Term Exposure to PM 2.5 with Blood Lipids and the Modification Effects of Insulin Resistance: A Panel Study in Wuhan. Toxics 2022; 10:663. [PMID: 36355954 PMCID: PMC9698404 DOI: 10.3390/toxics10110663] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 10/31/2022] [Accepted: 11/02/2022] [Indexed: 06/16/2023]
Abstract
Results of previous studies about the acute effects of fine particulate matter (PM2.5) on blood lipids were inconsistent. This study aimed to quantify the short-term effects of PM2.5 on blood lipids and estimate the modifying role of insulin resistance, reflected by the homeostasis model assessment of insulin resistance (HOMA-IR). From September 2019 to January 2020, the study recruited 70 healthy adults from Wuhan University for a total of eight repeated data collections. At each visit, three consecutive days were monitored for personal exposure to PM2.5, and then a physical examination was carried out on the fourth day. The linear mixed-effect models were operated to investigate the impact of PM2.5 over diverse exposure windows on blood lipids. With the median of the HOMA-IR 1.820 as the cut-off point, participants were assigned to two groups for the interaction analyses. We found the overall mean level (standard deviation, SD) of PM2.5 was 38.34 (18.33) μg/m3. Additionally, with a 10 μg/m3 rise in PM2.5, the corresponding largest responses in triglyceride (TG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), as well as high-density lipoprotein cholesterol (HDL-C), were −0.91% (95% confidence interval (CI): −1.63%, −0.18%), −0.33% (95% CI: −0.64%, −0.01%,), −0.94% (95% CI: −1.53%, −0.35%), and 0.67% (95% CI: 0.32%, 1.02%), respectively. The interaction analyses revealed that a significantly greater reduction in the four lipids corresponded to PM2.5 exposure when in the group with the lower HOMA-IR (<1.820). In conclusion, short-term PM2.5 exposure over specific time windows among healthy adults was associated with reduced TG, TC, as well as LDL-C levels, and elevated HDL-C. Additionally, the association of PM2.5−lipids may be modulated by insulin resistance.
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Affiliation(s)
- Jinhui Sun
- Department of Global Health, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan 430071, China
- Global Health Institute, Wuhan University, 115# Donghu Road, Wuhan 430071, China
| | - Shouxin Peng
- Department of Global Health, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan 430071, China
- Global Health Institute, Wuhan University, 115# Donghu Road, Wuhan 430071, China
| | - Zhaoyuan Li
- Department of Global Health, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan 430071, China
- Global Health Institute, Wuhan University, 115# Donghu Road, Wuhan 430071, China
| | - Feifei Liu
- Department of Global Health, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan 430071, China
- Global Health Institute, Wuhan University, 115# Donghu Road, Wuhan 430071, China
| | - Chuangxin Wu
- Department of Global Health, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan 430071, China
- Global Health Institute, Wuhan University, 115# Donghu Road, Wuhan 430071, China
| | - Yuanan Lu
- Environmental Health Laboratory, Department of Public Health Sciences, University of Hawaii at Manoa, 1960 East West Rd., Biomed Bldg D105, Honolulu, HI 96822, USA
| | - Hao Xiang
- Department of Global Health, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan 430071, China
- Global Health Institute, Wuhan University, 115# Donghu Road, Wuhan 430071, China
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Zhang Q, Peng J, Huang A, Zheng S, Shi X, Li B, Huang W, Tan W, Wang X, Wu K. Associations between polybrominated diphenyl ethers (PBDEs) levels in adipose tissues and blood lipids in women of Shantou, China. Environ Res 2022; 214:114096. [PMID: 35973458 DOI: 10.1016/j.envres.2022.114096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Revised: 08/07/2022] [Accepted: 08/08/2022] [Indexed: 02/05/2023]
Abstract
Animal studies have indicated that exposure to polybrominated diphenyl ethers (PBDEs) during development can permanently affect blood/liver lipid balance. However, no epidemiological study has assessed the relationship between PBDEs in adipose tissues and blood lipid metabolism. In this study, we explored the associations between PBDEs levels in female adipose tissues and lipid profiles. We recruited 150 female patients undergoing plastic surgery from hospital in Shantou, China, collected their characteristics, clinical information, and adipose tissue samples. Fourteen PBDE congeners in adipose tissues were analyzed by gas chromatography-mass spectrometry (GC-MS). Multiple linear and logistic regression models were used to explore the relationships between PBDEs and lipid profiles, while restricted cubic spline (RCS) regression and Bayesian kernel machine regression (BKMR) models were used to evaluate the nonlinearity of mixtures. Median levels of ΣPBDEs and dominant congeners BDE-153, -209, and -183 in adipose tissues were 73.91, 26.12, 14.10 and 9.01 ng/g lipid, respectively. In the multiple linear model, BDE-153 and BDE-209 were negatively associated with triglycerides (TG), similarly for BDE-190 and total cholesterol (TC). While in the adjusted logistic models, BDE-138 was negatively associated with TC (OR = 0.76, 95%CI: 0.58, 0.99) and total lipids (TL) (OR = 0.76, 95%CI: 0.58, 0.99). Diastolic blood pressure was positively correlated with BDE-28 and BDE-71 (P < 0.05). Furthermore, a non-linear relationship was observed in BDE-138 and blood lipid levels using a RCS model (Pnonlinearity<0.05). BKMR analysis indicated that with the cumulative levels across PBDEs increased, the health risks of hypertriglyceridemia gradually rebounded, and the health risks of hypercholesterolemia and high total lipid gradually rebounded and then declined, but without statistical significance. PBDEs pollution was still prevalent in Shantou city, and several PBDE congeners were significant risk factors for dyslipidemia and blood pressure alteration. There exist deleterious effects of PBDEs and blood lipids.
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Affiliation(s)
- Qiong Zhang
- Department of Preventive Medicine, Shantou University Medical College, Shantou, 515041, Guangdong, China
| | - Jiajun Peng
- Department of Preventive Medicine, Shantou University Medical College, Shantou, 515041, Guangdong, China
| | - Anyan Huang
- Department of Preventive Medicine, Shantou University Medical College, Shantou, 515041, Guangdong, China
| | - Shukai Zheng
- Department of Preventive Medicine, Shantou University Medical College, Shantou, 515041, Guangdong, China
| | - Xiaoling Shi
- Department of Preventive Medicine, Shantou University Medical College, Shantou, 515041, Guangdong, China
| | - Boyu Li
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China
| | - Wenlong Huang
- Department of Preventive Medicine, Shantou University Medical College, Shantou, 515041, Guangdong, China
| | - Wei Tan
- Department of Preventive Medicine, Shantou University Medical College, Shantou, 515041, Guangdong, China
| | - Xin Wang
- Department of Preventive Medicine, Shantou University Medical College, Shantou, 515041, Guangdong, China
| | - Kusheng Wu
- Department of Preventive Medicine, Shantou University Medical College, Shantou, 515041, Guangdong, China
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Han X, Liu F, Hidru TH, Yang X, Wang C, Xia Y. Postmenopausal Women with Breast, Endometrial, and Ovarian Cancers Have an Increased Risk for Cardiovascular Conditions prior to Active Endocrine Therapy. Oxid Med Cell Longev 2022; 2022:5104351. [PMID: 36046689 PMCID: PMC9423972 DOI: 10.1155/2022/5104351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Accepted: 08/03/2022] [Indexed: 11/17/2022]
Abstract
Background Patients with active cancer have an increased risk of cardiovascular diseases (CVDs) among cancer patients receiving endocrine therapy. However, little research has explored the distribution of CVD comorbidities and cardiovascular risk factors (CVRFs) among postmenopause women with breast, endometrial, or ovarian cancer prior to active treatment with endocrine therapy. We aimed to explore the distribution of CVD comorbidities and associated CVRF in patients suffering from breast, endometrial, or ovarian cancer prior to the use of endocrine therapy and to assess whether there was compliance with existing hospital recommendations, particularly on the use of lipid-lowering agents to prevent the development of CVD comorbidities in postmenopause women. Methods A total of 10,731 postmenopause women with primary breast, endometrial, or ovarian cancer were enrolled between 30th May 2008 and 31st July 2021 from an electronic health record database at the first affiliated hospital of Dalian Medical University. Dyslipidemia was defined according to 2016 Chinese guidelines for adults. Multivariate logistic regression analysis was used to identify the independent predictors of CVD comorbidities in breast, endometrial, and ovarian cancers separately. Results Overall, 18.9% of the included women had at least one CVD record before endocrine therapy. The highest prevalence of CVD was identified for hypertension (16.5%), followed by coronary heart disease (4.5%), stroke (2.1%), heart failure (1.2%), and atrial fibrillation (1.1%). The most common CVRF among total cancer patients was dyslipidemia, with a remarkable prevalence of 62.8%, followed by diabetes mellitus (8.6%). Notably, only 11.1% of cancer patients were receiving lipid-lowering agents. Conclusion Cancer patients with potential eligibility for endocrine therapy use had an increased risk for CVD comorbidities. Dyslipidemia was the common CVRF. Compliance with recommendations for preventing and managing these comorbidities requires serious attention.
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Affiliation(s)
- Xu Han
- Health Management Center, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Fei Liu
- Department of Cardiology, Institute of Cardiovascular Diseases, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Tesfaldet H. Hidru
- Department of Cardiology, Institute of Cardiovascular Diseases, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Xiaolei Yang
- Department of Cardiology, Institute of Cardiovascular Diseases, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Chengfang Wang
- Health Management Center, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Yunlong Xia
- Department of Cardiology, Institute of Cardiovascular Diseases, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
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Pengpid S, Peltzer K. Prevalence, awareness, treatment, and control of dyslipidemia and associated factors among adults in Jordan: Results of a national cross-sectional survey in 2019. Prev Med Rep 2022; 28:101874. [PMID: 35801002 PMCID: PMC9254124 DOI: 10.1016/j.pmedr.2022.101874] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Revised: 05/20/2022] [Accepted: 06/24/2022] [Indexed: 11/25/2022] Open
Abstract
The national prevalence of dyslipidemia was 81.6%, Among those with dyslipidemia, 9.3% were aware, Among those who knew, the proportion of lipid-lowering drug treatment was 50.3%, Among those taking lipid-lowering drugs, 25.4% had their dyslipidemia controlled.
Dyslipidaemia is increasing with low awareness and treatment in low resourced countries. The aim of the study was to evaluate the prevalence, distribution, and correlates of dyslipidaemia and its awareness, treatment, and control among people (18–69 years) in Jordan. In a national cross-sectional survey, a total of 3,132 individuals (mean age: 41.7 years) that took part in the Jordan cross-sectional STEPS survey in 2019 and had complete lipid measurements. Dyslipidemia was defined using the guidelines of the Adult Treatment Panel III. The prevalence of dyslipidemia was 81.6%, 74.0% low high-density lipoprotein cholesterol (HDL-C), 28.2% high triglyceride (TG), 10.1% high total cholesterol (TC) and 8.7% high low-density lipoprotein cholesterol (LDL-C). Among those with dyslipidaemia, 9.3% were aware. Among those who knew, the proportion of lipid-lowering drug treatment was 50.3%, and among those taking lipid-lowering drugs, 25.4% had their dyslipidaemia controlled. In adjusted logistic regression, in both sexes, overweight (AOR: 2.14, 95% CI: 1.49–3.36), obesity (AOR: 2.47, 95% CI: 1.55–3.94), diabetes (AOR: 2.63, 95% CI: 1.30–5.34) were positively and moderate physical activity (AOR: 0.60, 95% CI: 0.37–0.95) was negatively associated with prevalence of dyslipidemia. Older age, overweight, obesity, hypertension, diabetes, and cardiovascular disease were positively associated, and moderate physical activity was negatively associated with awareness of dyslipidemia. Four out of five adults in Jordan had dyslipidaemia and less than one in ten were aware. Several factors associated with the prevalence, awareness, and treatment of dyslipidaemia were identified that can be used to target public health interventions.
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Pengpid S, Peltzer K. National high prevalence, and low awareness, treatment and control of dyslipidaemia among people aged 15-69 years in Mongolia in 2019. Sci Rep 2022; 12:10478. [PMID: 35729323 DOI: 10.1038/s41598-022-14729-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Accepted: 06/10/2022] [Indexed: 11/08/2022] Open
Abstract
The aim of the study was to evaluate the prevalence, distribution and correlates of dyslipidaemia among people (15-69 years) in Mongolia. National data were analyzed from 4,895 individuals (15-69 years, median age = 35 years) that took part in the Mongolia cross-sectional STEPS survey in 2019, and had complete lipid measurements. Dyslipidaemia was defined using the guidelines of the Adult Treatment Panel III. The prevalence of dyslipidaemia was 58.6%, 31.7% high triglycerides (TG), 26.9% high low-density lipoprotein cholesterol (LDL-C), 26.9% high total cholesterol (TC) and 14.6% low high-density lipoprotein cholesterol (HDL-C). Among those with dyslipidaemia, 6.2% were aware. Among those who were aware, the proportion of lipid-lowering drug treatment was 18.9% and among those who took lipid-lowering drugs, 21.5% had their dyslipidaemia controlled. In adjusted logistic regression, older age (40-69 years) (AOR: 1.19, 95% CI 1.02-1.40), urban residence (AOR: 1.24, 95% CI 1.04-1.48), obesity call II (AOR: 2.89, 95% CI 2.29-3.66), hypertension (AOR: 1.33, 95% CI 1.11-1.59), and diabetes (AOR: 1.62, 95% CI 1.20-2.18) were positively, and male sex (AOR: 0.84, 95% CI 0.72-1.00) was negatively associated with dyslipidaemia prevalence. Six in ten Mongolians 15 years and older had dyslipidaemia. Several factors associated with dyslipidaemia that can be used to target public health interventions were identified.
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Ma J, Hao X, Nie X, Yang S, Zhou M, Wang D, Wang B, Cheng M, Ye Z, Xie Y, Wang C, Chen W. Longitudinal relationships of polycyclic aromatic hydrocarbons exposure and genetic susceptibility with blood lipid profiles. Environ Int 2022; 164:107259. [PMID: 35500530 DOI: 10.1016/j.envint.2022.107259] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/03/2021] [Revised: 03/22/2022] [Accepted: 04/20/2022] [Indexed: 06/14/2023]
Abstract
OBJECTIVE We aim to analyze the effects of polycyclic aromatic hydrocarbons (PAHs) exposure and genetic predisposition on blood lipid through a longitudinal epidemiological study. METHODS We enrolled 4,356 observations who participated at baseline (n = 2,435) and 6-year follow-up (n = 1,921) from Wuhan-Zhuhai cohort. Ten urinary PAHs metabolites and blood lipid (i.e., total cholesterol [TC], triglycerides [TG], low-density lipoprotein cholesterol [LDL-C], and high-density lipoprotein cholesterol [HDL-C]) were measured at both baseline and follow-up. The polygenic risk scores (PRS) of blood lipid were constructed by the corresponding genome-wide association studies. Linear mixed models were fit to identify associations between urinary PAHs metabolites, blood lipid, and lipid-PRSs in the repeated-measure analysis. Besides, longitudinal relationships of blood lipid with urinary PAHs metabolites and respective lipid-PRSs were examined by using linear regression models. RESULTS Compared with subjects who had persistently low urinary total hydroxyphenanthrene (ΣOHPh), those with persistently high levels had an average increase of 0.137 mmol/l for TC and 0.129 mmol/l for LDL-C over 6 years. Each 1-unit increase of TC-, TG-, LDL-C-, and HDL-C-specific PRS were associated with an average increase of 0.438 mmol/l for TC, 0.264 mmol/l for TG, 0.198 mmol/l for LDL-C, and 0.043 mmol/l for HDL-C over 6 years, respectively. Compared with subjects who had low genetic risk and persistently low ΣOHPh, subjects with high LDL-specific PRS and persistently high ΣOHPh had an average increase of 0.652 mmol/l for LDL-C. CONCLUSIONS Our results suggest that high-level ΣOHPh exposure is associated with an average increase of LDL-C over 6 years, and those relationships can be aggravated by a higher LDL-C-genetic risk. No significant relationships were observed between other PAHs metabolites (including hydroxynaphthalene, hydroxyfluorene, and hydroxypyrene) and blood lipid changes over 6 years. Our findings emphasize the importance of preventing PAHs exposure, particularly among those with a higher genetic predisposition of hyperlipidemia.
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Affiliation(s)
- Jixuan Ma
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Xingjie Hao
- Department of Epidemiology & Statistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Xiuquan Nie
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Shijie Yang
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Min Zhou
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Dongming Wang
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Bin Wang
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Man Cheng
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Zi Ye
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Yujia Xie
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Chaolong Wang
- Department of Epidemiology & Statistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
| | - Weihong Chen
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
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Zhu J, Zhang Y, Wu Y, Xiang Y, Tong X, Yu Y, Qiu Y, Cui S, Zhao Q, Wang N, Jiang Y, Zhao G. Obesity and Dyslipidemia in Chinese Adults: A Cross-Sectional Study in Shanghai, China. Nutrients 2022; 14:2321. [PMID: 35684121 PMCID: PMC9183153 DOI: 10.3390/nu14112321] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Revised: 05/28/2022] [Accepted: 05/29/2022] [Indexed: 02/01/2023] Open
Abstract
This study examined the association of obesity and dyslipidemia according to body measurements among Chinese adults in Shanghai, a place in the process of rapid urbanization. Using the baseline data of the Shanghai Suburban Adult Cohort and Biobank study (SSACB), the subjects completed questionnaires and physical examinations, and fasting blood was collected for biochemical assays. We estimated the odds ratios (OR) and 95% confidence interval (CI) by multivariable logistic regression. The prevalence was 12.9% and 28.8% in both general and central obesity, respectively. Compared with the non-obese, the general or central obesity participants had a higher level of TC, TG, LDL-C and lower level of HDL-C. The OR (95%CI) for dyslipidemia was 1.79 (1.69–1.91) and 1.91 (1.83–2.00) in general or central obesity, respectively. Positive associations were also observed between obesity and high TC, high LDL-C, low HDL-C and high TG, with the adjusted OR ranging from 1.11 to 2.00. Significant modifying effect of gender, age, hypertension, and diabetes were found in the association of obesity and different forms of dyslipidemia. The findings of our study indicated that participants with obesity, including general or central obesity, have a higher prevalence of dyslipidemia and gender, age, hypertension, and diabetes might be potential modifiers of the association. More effective attention and interventions should be directed to managing body weight to reduce the prevalence of dyslipidemia.
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Du L, Hong F, Luo P, Wang Z, Zeng Q, Guan H, Liu H, Yuan Z, Xu D, Nie F, Wang J. The relationship between occupational physical activity and dyslipidaemia in farmers with varying working modes in southwest China: the China multi-ethnic cohort study. BMC Public Health 2022; 22:840. [PMID: 35473489 PMCID: PMC9044674 DOI: 10.1186/s12889-022-13266-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Accepted: 04/20/2022] [Indexed: 11/13/2022] Open
Abstract
Background Farmers are the integral members of rural communities. In the present study, we determined the association between occupational physical activity (OPA) of farmers and dyslipidaemia. Methods We included 7649 farmers from The China Multi-Ethnic Cohort (CMEC) Study. The working modes of all farmers were divided into four types according to their self-reported seasonal changes in farming work and/or other job changes (1: no change; 2: changing job; 3: seasonal changes; and 4: seasonal and job changes). OPA was self-reported, and the OPA levels in the four groups were classified as Q1, Q2–Q3, and Q4 by quantile. Dyslipidaemia was defined as the presence of abnormalities in lipid indicators. Binary logistic regression was used to estimate the association between OPA and dyslipidaemia. Results Compared with those in the no change group, the participants in other three groups were younger with lower level of education, annual income, and leisure-time physical activity (LTPA). Active OPA could reduce the risk of dyslipidaemia in the no change [men: odds ratios (OR) = 0.21, 95% confidence intervals (CI): 0.07–0.64; women: OR = 0.43, 95% CI: 0.20–0.93] and seasonal change (men: OR = 0.46, 95% CI: 0.27–0.77; women: OR = 0.59, 95% CI: 0.41–0.86) groups. However, in the seasonal and job change group (men: OR = 3.23, 95% CI: 1.06–9.80; women: OR = 3.24, 95% CI: 1.42–7.41), active OPA increased the risk of dyslipidaemia. Conclusions Different OPA levels might lead to differences in association with blood lipid levels. Thus, OPA guidelines must be developed for farmers, especially for those who experience seasonal changes in farming work and job changes. Supplementary Information The online version contains supplementary material available at 10.1186/s12889-022-13266-x.
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Affiliation(s)
- Lunwei Du
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, People's Republic of China
| | - Feng Hong
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, People's Republic of China
| | - Peng Luo
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, People's Republic of China
| | - Ziyun Wang
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, People's Republic of China
| | - Qibing Zeng
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, People's Republic of China
| | - Han Guan
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, People's Republic of China
| | - Haiyan Liu
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, People's Republic of China
| | - Zhiping Yuan
- University Town of Hospital, Guizhou Medical University, Guiyang, 550025, People's Republic of China
| | - Degan Xu
- Guiyang Center for Disease Control and Prevention, Guiyang, 550003, People's Republic of China
| | - Fang Nie
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, People's Republic of China
| | - Junhua Wang
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, People's Republic of China.
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Peng L, Liu L, Ma N, Yang F, Nie C, Yang T, Zeng Q, Wang Z, Xu D, Ma L, Xu Y, Hong F. The dose-response relationship of serum uric acid with Dyslipidaemia and its components: a cross-sectional study of a Chinese multi-ethnic cohort. Lipids Health Dis 2022; 21:36. [PMID: 35369882 PMCID: PMC8978377 DOI: 10.1186/s12944-022-01647-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2022] [Accepted: 03/17/2022] [Indexed: 11/13/2022] Open
Abstract
Background The association between serum uric acid (SUA) and the components of dyslipidaemia and their dose-response relationships have not been thoroughly explored. This study assessed the relationship between SUA and each dyslipidaemia component in Dong, Miao, and Bouyei populations in Guizhou by sex and ethnicities and investigated the dose-response relationship. Methods In total, 16,092 participants aged 30–79 years from The China Multi-Ethnic Cohort (CMEC) Study were examined. Multivariable logistic regression models were applied to explore the relationship between SUA and each dyslipidaemia component by sex and three ethnicities. The dose-response associations between SUA and various dyslipidaemias were investigated using restricted cubic spline regression. Results After controlling for confounding factors, the SUA level in total participants positively correlated with each dyslipidaemia component, and women had higher odds ratios (ORs) for each dyslipidaemia component than men (P for trend < 0.001). At the SUA level > 6.37 mg/dL, ORs (95% CI) for dyslipidaemia in the Dong, Miao and Bouyei were 2.89 (2.00–4.19), 2.43 (1.70–3.48), and 3.26 (2.23–4.78), respectively. When the SUA concentration increased by 1 mg/dL, the ORs (95% CI) for total dyslipidaemia was 1.31 (1.24–1.37). A positive dose-response but nonlinear association was found between SUA and total dyslipidaemia, high total cholesterol, and low HDL, whereas an inverse U-shaped association was found between SUA and high LDL-C ( P-nonlinear< 0.0001). Conclusion The SUA level was positively correlated with each dyslipidaemia component in Dong, Miao, and Bouyei adults, and sex and ethnic differences were also found. A nonlinear dose-response relationship was found between SUA levels and dyslipidaemia and its components. Further research is warranted to investigate the causal link between SUA levels and dyslipidaemia incidence.
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Limardi PC, Oktavianthi S, Priliani L, Lestari R, Saraswati MR, Suastika K, Malik SG. Transcription factor 7-like 2 single nucleotide polymorphisms rs290487 and rs290481 are associated with dyslipidemia in the Balinese population. PeerJ 2022; 10:e13149. [PMID: 35341056 PMCID: PMC8953500 DOI: 10.7717/peerj.13149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Accepted: 03/01/2022] [Indexed: 01/12/2023] Open
Abstract
Background Dyslipidemia is one of the major risks for the development of cardiovascular diseases which has been the leading cause of death in developing countries. Previously, common polymorphisms of the transcription factor 7-like 2 (TCF7L2) gene have been associated with altered lipid profiles. In this study, we investigated the associations of TCF7L2 SNPs, rs290487 and rs290481, with dyslipidemia and altered lipid profile in the Balinese. Methods A total of 565 subjects from four locations in the Bali Province, Indonesia, were recruited. Serum lipid concentrations (triglycerides (TG), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), total cholesterol (TC)) were measured using standard protocol. SNP genotyping was done using the amplification refractory system mutation polymerase chain reaction (ARMS-PCR) method. Results We found the shifted major/minor allele frequencies of both SNPs (0.56 for rs290487 T allele, 0.53 for rs290481 T allele) in the Balinese, as compared to dbSNP. The rs290487 and rs290481 C alleles were significantly associated with dyslipidemia, particularly high TC and high LDL-C. These associations were independent of age, sex, population, obesity, diabetes mellitus, and high TyG index as a proxy for insulin resistance. The haplotype CC also showed similar association with these traits. Our findings indicate that TCF7L2 polymorphisms are associated with dyslipidemia and altered lipid profile in the Balinese.
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Affiliation(s)
- Prisca C. Limardi
- Genome Diversity and Diseases Laboratory, Eijkman Institute for Molecular Biology, National Research and Innovation Agency, Jakarta, DKI Jakarta, Indonesia,Department of Biology, Faculty of Mathematics and Natural Sciences, Universitas Indonesia, Depok, West Java, Indonesia
| | - Sukma Oktavianthi
- Genome Diversity and Diseases Laboratory, Eijkman Institute for Molecular Biology, National Research and Innovation Agency, Jakarta, DKI Jakarta, Indonesia
| | - Lidwina Priliani
- Genome Diversity and Diseases Laboratory, Eijkman Institute for Molecular Biology, National Research and Innovation Agency, Jakarta, DKI Jakarta, Indonesia
| | - Retno Lestari
- Department of Biology, Faculty of Mathematics and Natural Sciences, Universitas Indonesia, Depok, West Java, Indonesia
| | - Made Ratna Saraswati
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Faculty of Medicine, Udayana University, Denpasar, Bali, Indonesia
| | - Ketut Suastika
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Faculty of Medicine, Udayana University, Denpasar, Bali, Indonesia
| | - Safarina G. Malik
- Genome Diversity and Diseases Laboratory, Eijkman Institute for Molecular Biology, National Research and Innovation Agency, Jakarta, DKI Jakarta, Indonesia
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Xi Y, Tian Q, Na B, Han K, Duan M, Zhang X, Wang W, Wang Y. Protocol of the Inner Mongolian Healthy Aging Study (IMAGINS): a longitudinal cohort study. BMC Public Health 2022; 22:115. [PMID: 35039022 PMCID: PMC8762848 DOI: 10.1186/s12889-022-12542-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Accepted: 01/07/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Cardiovascular diseases (CVDs) remain the leading cause of premature mortality and burden of diseases in the world. The Inner Mongolia Autonomous Region is located in northern China, constitute 17.66% individuals with Mongolian, which have unique diet and lifestyles. Therefore, the Inner Mongolian Healthy Aging Study (IMAGINS) was designed to explore risk factors for chronic diseases and evaluate the effectiveness of health management on CVDs in population at high-risk. METHODS The IMAGINS is an ongoing and prospective cohort study of men and women aged ≥35 years from Inner Mongolian Autonomous Region, northern China. This study performed in investigating risk factors for CVDs, screening and providing health management strategy for high-risk population of CVDs. The IMAGINS began in September 2015 and scheduled to recruiting and follow-up outcome until 2030. For general population, a long-term follow-up will be conducted every 5 years to collect the information above and data on clinical outcomes. For high-risk population, comprehensive health managements were performed and scheduled to follow-up annually. All IMAGINS participants are followed for incident CVDs and death. DISCUSSION The IMAGINS is designed to increase understanding how cardiovascular-related risk factors contribute to the development of CVDs and the positive effect of health management strategy for high-risk CVD participants. Key features of this study include (i) a carefully characterized cohort between high risk of CVDs and non-high risk population; (ii) detailed measurement of CVDs risk factors and health management strategies for high risk population; (iii) long-term follow-up of CVDs and death. The IMAGINS represents a good research opportunity to investigate clinical and genetic factors in high-risk population, might providing basis for the prevention and control of non-communicable diseases.
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Affiliation(s)
- Yunfeng Xi
- The Inner Mongolia Autonomous Region Comprehensive Center or Disease Control and Prevention, Hohhot, 010000, China
| | - Qiuyue Tian
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, 10 YouanmenXitoutiao, Beijing, 100069, China
| | - Buqi Na
- The Inner Mongolia Autonomous Region Comprehensive Center or Disease Control and Prevention, Hohhot, 010000, China
| | - Ke Han
- The Inner Mongolia Autonomous Region Comprehensive Center or Disease Control and Prevention, Hohhot, 010000, China
| | - Mingrui Duan
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, 10 YouanmenXitoutiao, Beijing, 100069, China
| | - Xingguang Zhang
- School of Public Health, Inner Mongolia Medical University, Hohhot, 010000, China
| | - Wenrui Wang
- The Inner Mongolia Autonomous Region Comprehensive Center or Disease Control and Prevention, Hohhot, 010000, China
| | - Youxin Wang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, 10 YouanmenXitoutiao, Beijing, 100069, China.
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Masilela C, Adeniyi OV, Benjeddou M. Prevalence, patterns and determinants of dyslipidaemia among South African adults with comorbidities. Sci Rep 2022; 12:337. [PMID: 35013433 DOI: 10.1038/s41598-021-04150-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Accepted: 12/16/2021] [Indexed: 11/20/2022] Open
Abstract
The present study assessed the prevalence, patterns and determinants of dyslipidaemia among South African adults with multi-morbidities. In this study, 614 individuals with DM and hypertension were recruited. Dyslipidaemia was defined as elevated levels of total cholesterol (TC) ≥ 5.2 mmol/L and/or low-density lipoprotein cholesterol (LDL-C) ≥ 2.6 mmol/L, triglycerides (TG) ≥ 1.8 mmol/L and low high-density lipoprotein cholesterol (HDL-C) < 1 mmol/L for men and < 1.2 mmol/L for women. Multivariate regression model (adjusted) analysis was used to identify the significant determinants of dyslipidaemia. The prevalence of dyslipidaemia was 76.7% (n = 471), with females showing the highest prevalence 357 (75.79%). Elevated TG (62.21%) was the most prevalent form of dyslipidemia. Only 103 (16.77%) participants were on statin therapy. The multivariate logistic regression model analysis (adjusted) showed that, the Zulu ethnicity (AOR = 2.45; 95%CI 1.48–4.05) was associated with high TC. DM (AOR = 2.00; 95%CI 1.30–3.06) and the female sex (AOR = 2.54; 95%CI 1.56–4.12) were associated with low HDL-C. Obesity (AOR = 1.57; 95%CI 1.12–2.21) and the Zulu ethnicity (AOR = 1.60; 95%CI 1.00–2.54) were associated with elevated LDL-C. DM (AOR = 2.32; 95%CI 1.61–3.34) was associated with elevated TG. We found a high prevalence of dyslipidaemia. The study further demonstrated that prevention and treatment of dyslipidaemia should be prioritised among individuals with multi-morbidities.
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Cao L, Zhou J, Chen Y, Wu Y, Wang Y, Liu T, Fu C. Effects of Body Mass Index, Waist Circumference, Waist-to-Height Ratio and Their Changes on Risks of Dyslipidemia among Chinese Adults: The Guizhou Population Health Cohort Study. Int J Environ Res Public Health 2021; 19:ijerph19010341. [PMID: 35010598 PMCID: PMC8750900 DOI: 10.3390/ijerph19010341] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/28/2021] [Revised: 12/22/2021] [Accepted: 12/25/2021] [Indexed: 12/28/2022]
Abstract
This study aimed to assess the effects of different anthropometric indices and their changes on the risk of incident dyslipidemia among the Chinese population. From the Guizhou population health cohort study, 2989 Chinese adults without dyslipidemia at baseline were followed up. Anthropometric parameters including waist circumference (WC), body mass index (BMI), waist-to-height ratio (WHtR), and their changes in the latter two indices, and serum lipids were tested after at least 8 h fasting. Hazard ratio (HR), adjusted hazard ratio (aHR), and 95% confidential interval (CI) were calculated to estimate the association between anthropometric parameters and dyslipidemia risk using multivariate Cox regression. A total of 2089 (69.98%) new dyslipidemia cases were identified over an average follow-up of 7.0 years. Baseline BMI (aHR = 1.12, 95%CI 1.01, 1.23) and WHtR (aHR = 1.06, 95%CI 1.00, 1.13) were positively associated with higher risks of incident dyslipidemia but not WC. Each 5.0 kg/m2 increment of BMI or 0.05-unit increment of WHtR was significantly associated with 43% or 25% increased risk of incident dyslipidemia, respectively. The aHRs (95%CI) of incident dyslipidemia for subjects maintaining or developing general obesity were 2.19 (1.53, 3.12) or 1.46 (1.22, 1.75), and 1.54 (1.23, 1.82) or 1.30 (1.06, 1.60) for subjects maintaining or developing abdominal obesity, respectively. Linear trends for aHRs of BMI, WHtR change, and BMI change were observed (p for trend: 0.021, <0.001, <0.001, respectively). BMI, WHtR, and their changes were closely associated with the incidence of dyslipidemia for Chinese adults. Loss in BMI and WHtR had protective effects on incident dyslipidemia, whereas gain of BMI or WHtR increased the dyslipidemia risk. Interventions to control or reduce BMI and WHtR to the normal range are important for the early prevention of dyslipidemia, especially for participants aged 40 years or above, male participants, and urban residents with poor control of obesity.
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Affiliation(s)
- Li Cao
- Key Laboratory of Public Health Safety & NHC Key Laboratory of Health Technology Assessment, School of Public Health, Fudan University, Shanghai 200032, China; (L.C.); (Y.C.)
| | - Jie Zhou
- Guizhou Center for Disease Control and Prevention, Guiyang 550004, China; (J.Z.); (Y.W.); (Y.W.)
| | - Yun Chen
- Key Laboratory of Public Health Safety & NHC Key Laboratory of Health Technology Assessment, School of Public Health, Fudan University, Shanghai 200032, China; (L.C.); (Y.C.)
| | - Yanli Wu
- Guizhou Center for Disease Control and Prevention, Guiyang 550004, China; (J.Z.); (Y.W.); (Y.W.)
| | - Yiying Wang
- Guizhou Center for Disease Control and Prevention, Guiyang 550004, China; (J.Z.); (Y.W.); (Y.W.)
| | - Tao Liu
- Guizhou Center for Disease Control and Prevention, Guiyang 550004, China; (J.Z.); (Y.W.); (Y.W.)
- Correspondence: (T.L.); (C.F.)
| | - Chaowei Fu
- Key Laboratory of Public Health Safety & NHC Key Laboratory of Health Technology Assessment, School of Public Health, Fudan University, Shanghai 200032, China; (L.C.); (Y.C.)
- Correspondence: (T.L.); (C.F.)
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Zhou Y, Zhang J, Liu RH, Xie Q, Li XL, Chen JG, Pan XL, Ye B, Liu LL, Wang WW, Yan LL, Wei WX, Jiang XC. Association between Health-Related Physical Fitness and Risk of Dyslipidemia in University Staff: A Cross-Sectional Study and a ROC Curve Analysis. Nutrients 2021; 14:nu14010050. [PMID: 35010926 PMCID: PMC8746739 DOI: 10.3390/nu14010050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Revised: 12/19/2021] [Accepted: 12/21/2021] [Indexed: 11/16/2022] Open
Abstract
Background: This study aimed to assess the relationship between dyslipidemia (DL) risk and health-related physical fitness (HPF) and evaluated the prognostic value of HPF for risk of DL. Methods: A total of 776 university staff members were recruited, of which 407 were females, and 369 males. Blood samples and HPF tests were collected from all participants after 12 h fasting. Results: The prevalence of DL was 41.77% and 51.49% in female and male university staff members, respectively, and there was no significant difference between genders (χ2 = 2.687, p = 0.101). According to the logistic regression analysis, age, male sex, GLU, hypertension, BMI, BF, WHtR, and LAP were significant risk factors for DL (p < 0.05), VCI and, SAR were significant protective factors for DL (p < 0.05), and SMI, GS, and VG were not significantly associated with the risk of DL. The area under the receiver-operating characteristic (ROC) curve (AUC) analysis indicated that, LAP (AUC: 0.730, 95CI%: 0.697–0.762), WHtR (AUC: 0.626, 95CI%: 0.590–0.660), and BMI (AUC: 0.599, 95CI%: 0.563–0.634) are valid predictors of DL, and LAP and WHtR perform better than BMI (Z = 8.074, p < 0.001) in predicting DL in male and female university staff members. Conclusion: The risk of DL is significantly related to body composition, cardiorespiratory fitness, and flexibility. LAP and WHtR perform better than BMI in predicting risk of DL in male and female university staff members.
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Affiliation(s)
- Yuan Zhou
- School of Physical Education, Shaanxi Normal University, Xi’an 710119, China; (Y.Z.); (R.-H.L.); (Q.X.); (X.-L.L.); (B.Y.); (L.-L.L.); (W.-W.W.); (L.-L.Y.); (W.-X.W.); (X.-C.J.)
| | - Jing Zhang
- School of Physical Education, Shaanxi Normal University, Xi’an 710119, China; (Y.Z.); (R.-H.L.); (Q.X.); (X.-L.L.); (B.Y.); (L.-L.L.); (W.-W.W.); (L.-L.Y.); (W.-X.W.); (X.-C.J.)
- Correspondence: ; Tel.: +86-139-9119-2058
| | - Rong-Hua Liu
- School of Physical Education, Shaanxi Normal University, Xi’an 710119, China; (Y.Z.); (R.-H.L.); (Q.X.); (X.-L.L.); (B.Y.); (L.-L.L.); (W.-W.W.); (L.-L.Y.); (W.-X.W.); (X.-C.J.)
| | - Qian Xie
- School of Physical Education, Shaanxi Normal University, Xi’an 710119, China; (Y.Z.); (R.-H.L.); (Q.X.); (X.-L.L.); (B.Y.); (L.-L.L.); (W.-W.W.); (L.-L.Y.); (W.-X.W.); (X.-C.J.)
| | - Xiao-Long Li
- School of Physical Education, Shaanxi Normal University, Xi’an 710119, China; (Y.Z.); (R.-H.L.); (Q.X.); (X.-L.L.); (B.Y.); (L.-L.L.); (W.-W.W.); (L.-L.Y.); (W.-X.W.); (X.-C.J.)
| | - Jian-Gang Chen
- School of Physical Education and Sports, Beijing Normal University, Beijing 100875, China;
| | - Xin-Liang Pan
- School of Kinesiology, Beijing Sport University, Beijing 100084, China;
| | - Bo Ye
- School of Physical Education, Shaanxi Normal University, Xi’an 710119, China; (Y.Z.); (R.-H.L.); (Q.X.); (X.-L.L.); (B.Y.); (L.-L.L.); (W.-W.W.); (L.-L.Y.); (W.-X.W.); (X.-C.J.)
| | - Long-Long Liu
- School of Physical Education, Shaanxi Normal University, Xi’an 710119, China; (Y.Z.); (R.-H.L.); (Q.X.); (X.-L.L.); (B.Y.); (L.-L.L.); (W.-W.W.); (L.-L.Y.); (W.-X.W.); (X.-C.J.)
| | - Wan-Wan Wang
- School of Physical Education, Shaanxi Normal University, Xi’an 710119, China; (Y.Z.); (R.-H.L.); (Q.X.); (X.-L.L.); (B.Y.); (L.-L.L.); (W.-W.W.); (L.-L.Y.); (W.-X.W.); (X.-C.J.)
| | - Liang-Liang Yan
- School of Physical Education, Shaanxi Normal University, Xi’an 710119, China; (Y.Z.); (R.-H.L.); (Q.X.); (X.-L.L.); (B.Y.); (L.-L.L.); (W.-W.W.); (L.-L.Y.); (W.-X.W.); (X.-C.J.)
| | - Wen-Xin Wei
- School of Physical Education, Shaanxi Normal University, Xi’an 710119, China; (Y.Z.); (R.-H.L.); (Q.X.); (X.-L.L.); (B.Y.); (L.-L.L.); (W.-W.W.); (L.-L.Y.); (W.-X.W.); (X.-C.J.)
| | - Xin-Cheng Jiang
- School of Physical Education, Shaanxi Normal University, Xi’an 710119, China; (Y.Z.); (R.-H.L.); (Q.X.); (X.-L.L.); (B.Y.); (L.-L.L.); (W.-W.W.); (L.-L.Y.); (W.-X.W.); (X.-C.J.)
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Zhang M, Zuo HJ, Yang HX, Nan N, Zhang D, Song XT. Trends in low-density lipoprotein cholesterol level among Chinese young adults hospitalized with first acute myocardial infarction. Ann Transl Med 2021; 9:1536. [PMID: 34790742 PMCID: PMC8576691 DOI: 10.21037/atm-21-4480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 10/21/2021] [Indexed: 11/18/2022]
Abstract
Background Representative data has shown a linear increase in mean low-density lipoprotein cholesterol (LDL-C) levels among Chinese adults, contributing to the burden of atherosclerotic cardiovascular disease (ASCVD). This study aimed to assess the trends in LDL-C levels and their association with coronary artery stenosis during the first acute myocardial infarction (AMI) in young Chinese adults. Methods A retrospective study including 2,781 adults, aged 18–44 years, hospitalized for their first AMI in Beijing Anzhen hospital between 2007 and 2017 was performed. Results Mean LDL-C level was 2.82±0.97 mmol/L with the prevalence of elevated LDL-C being 21.6% (601/2,781). Of the study, only 4.2% were aware of their elevated LDL-C status. Neither mean LDL-C concentration nor prevalence of elevated LDL-C showed a downward trend between 2007 and 2017 (P>0.05). Patients aged <35 years had the highest LDL-C level and frequency of elevated LDL-C among the three age groups (aged <35, 35–39, and 40–44 years; P<0.01). Patients with LDL-C ≥3.4 mmol/L evinced a more than 50% increased risk of coronary artery stenosis compared with those with LDL-C <1.4 mmol/L [adjusted odds ratio (OR) 3.19; 95% confidence interval (CI): 1.62 to 6.29]. Of the study, 62.0% had at least two conventional risk factors (RFs), and smoking, accompanied by hypertension, obesity, or elevated LDL-C were the most common combinations. Conclusions The current study provides an overview of trends in LDL-C level and elevated LDL-C among young adults at the time of first AMI. Patients had a high prevalence of elevated LDL-C but low awareness of this status. Coronary artery stenosis was positively correlated with LDL-C level. Preventive strategies, including public education regarding cholesterol levels and benefits of maintaining LDL-C below 3.4 mmol/L should be considered for young adults as a primary preventive strategy.
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Affiliation(s)
- Min Zhang
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Hui-Juan Zuo
- Department of Community Health Research, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Diseases, Beijing, China
| | - Hong-Xia Yang
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Nan Nan
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Dongfeng Zhang
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Xian-Tao Song
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
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Bi Y, Tian Z, Yan W, Liu M, Zhao Y, Bao H, Yan T, Zhang N, Xia Y, Zhang X. Treatment and control of modifiable cardiovascular risk factors among patients with diabetes mellitus and hypertension in Inner Mongolia: A cross-sectional study. J Clin Hypertens (Greenwich) 2021; 23:2016-2025. [PMID: 34699679 PMCID: PMC8630609 DOI: 10.1111/jch.14375] [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] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Revised: 09/17/2021] [Accepted: 09/26/2021] [Indexed: 01/04/2023]
Abstract
The authors assessed treatment and control of blood glucose, blood pressure (BP), and blood lipids among patients from Inner Mongolia with diabetes mellitus (DM) and hypertension (HTN) and identified the modifiable factors associated with treatment and achievement of blood glucose, BP, and blood lipid targets. The authors used a multistage stratified cluster sampling method according to geographical location and level of economic development in Inner Mongolia. Among patients with DM and HTN, the crude rates of fasting plasma glucose (FPG) treatment and control was 30.76% and 4.73%, respectively. Crude rates of BP treatment and control were 50.81% and 8.70%, respectively. The authors found that treatment rates of HTN and DM and control rates of BP and FPG showed a gradually increasing trend with increased age. Among patients with DM and HTN, the likelihood of treatment for HTN and DM was significantly increased among participants who were older, non‐Mongolian, male, obese, smokers, and those with previous cardiovascular disease. The authors found that control of BP, FPG, and low‐density lipoprotein cholesterol was far from optimal among study participants. Medical and health departments in Inner Mongolia should take appropriate measures to reduce the burden of DM and HTN in the population, such as by promoting and improving the quality of HTN and DM treatment to achieve control goals and reduce the risk of cardiovascular disease.
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Affiliation(s)
- Yanqing Bi
- Department of Health Statistics, Public Health College, Inner Mongolia Medical University, Hohhot, PR China
| | - Zixuan Tian
- Department of Health Statistics, Public Health College, Inner Mongolia Medical University, Hohhot, PR China
| | - Wenyan Yan
- Department of Health Statistics, Public Health College, Inner Mongolia Medical University, Hohhot, PR China
| | - Min Liu
- Department of Health Statistics, Public Health College, Inner Mongolia Medical University, Hohhot, PR China
| | - Yuqian Zhao
- Department of Health Statistics, Public Health College, Inner Mongolia Medical University, Hohhot, PR China
| | - Han Bao
- Department of Health Statistics, Public Health College, Inner Mongolia Medical University, Hohhot, PR China
| | - Tao Yan
- Department of Health Statistics, Public Health College, Inner Mongolia Medical University, Hohhot, PR China
| | - Nan Zhang
- Department of Health Statistics, Public Health College, Inner Mongolia Medical University, Hohhot, PR China
| | - Yuan Xia
- Department of Health Statistics, Public Health College, Inner Mongolia Medical University, Hohhot, PR China
| | - Xingguang Zhang
- Department of Health Statistics, Public Health College, Inner Mongolia Medical University, Hohhot, PR China
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Wang N, Pan D, Guo Z, Xiang X, Wang S, Zhu J, Sun G. Effects of guar gum on blood lipid levels: A systematic review and meta-analysis on randomized clinical trials. J Funct Foods 2021. [DOI: 10.1016/j.jff.2021.104605] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
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Nie F, Wang Z, Zeng Q, Guan H, Yang J, Luo P, Du L, Wang J, Hong F. Health behaviors and metabolic risk factors are associated with dyslipidemia in ethnic Miao Chinese adults: the China multi-ethnic cohort study. BMC Public Health 2021; 21:851. [PMID: 33941138 PMCID: PMC8091723 DOI: 10.1186/s12889-021-10871-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Accepted: 04/19/2021] [Indexed: 10/24/2022] Open
Abstract
BACKGROUND Cardiovascular risk factors in Chinese ethnic minority groups are rarely reported. OBJECTIVE To quantify the cardiovascular risk factors in Miao Chinese adults and to examine the association of health behaviors and metabolic risk factors with dyslipidemia. METHODS A cross-sectional analysis was conducted using baseline data from the China Multi-Ethnic Cohort (CMEC) study. A representative sample of 5559 Miao participants aged 30 to 79 years were surveyed and given physical and laboratory exams. The proportion of behavioral and metabolic risk factors were described in ethnic Miao adults. Logistic regression was utilized to evaluate the odds ratio (OR) and 95% confidence interval (CI) of the association between health behaviors and metabolic risk factors with dyslipidemia. RESULTS In Miao Chinese adults, the prevalence of dyslipidemia was 32.8%. After multivariate adjustment, subjects with poor waist-to-hip ratio (WHR), body mass index (BMI), fasting blood glucose (FBG) and blood pressure (BP) were more likely to have higher risk of triglycerides (TG) abnormality, regardless of gender and age. Furthermore, the strongly association was detected between poor WHR and low density lipoprotein cholesterol (LDL-C) abnormality (adjusted OR = 5.24, 95%CI: 2.42-11.34) in the older subgroup (≥ 60 years). Males who current smoking were an independent risk factor only for high density lipoprotein cholesterol (HDL-C) abnormality (adjusted OR = 1.44, 95%CI: 1.05-1.99). However, in the subgroup age, current smoker were at greater risk of high TG and low HDL-C. Males with regular drinking were less likely to be high LDL-C (adjusted OR = 0.51, 95%CI: 0.32-0.81). CONCLUSIONS The present findings indicated that Miao adults with metabolic risk factors were at greater risk of dyslipidemia.
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Affiliation(s)
- Fang Nie
- School of Public Health, The Key Laboratory Of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, China
- School of Public Health, Guizhou Medical University, Guiyang, 550025, China
| | - Ziyun Wang
- School of Public Health, The Key Laboratory Of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, China
| | - Qibing Zeng
- School of Public Health, The Key Laboratory Of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, China
| | - Han Guan
- School of Public Health, The Key Laboratory Of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, China
| | - Jingyuan Yang
- School of Public Health, The Key Laboratory Of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, China
| | - Peng Luo
- School of Public Health, The Key Laboratory Of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, China
| | - Lunwei Du
- School of Public Health, The Key Laboratory Of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, China
- School of Public Health, Guizhou Medical University, Guiyang, 550025, China
| | - Junhua Wang
- School of Public Health, The Key Laboratory Of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, China.
| | - Feng Hong
- School of Public Health, The Key Laboratory Of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, China.
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