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Ting P, Wang T, Fu M, Lin R, Hong M, Zheng Z, Wang J, Lin Y. Prevalence and inequalities of obesity and associated complications in China: A multicentre nationwide survey. Public Health 2024; 237:97-106. [PMID: 39366278 DOI: 10.1016/j.puhe.2024.09.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2024] [Revised: 09/05/2024] [Accepted: 09/24/2024] [Indexed: 10/06/2024]
Abstract
OBJECTIVES Obesity is a risk factor for chronic diseases. The prevalence of obesity is rapidly increase and a significant social inequality exists. This study aimed to analyse obesity prevalence and complications in different regions and occupations in China. STUDY DESIGN Multicentre cross-sectional study. METHODS Data from 62,893 adults in 10 Chinese provinces were collected in 2022. Measures included body mass index (BMI), metabolic status and complications. Analysis was stratified by gender, age, region and occupation, with results adjusted for age and gender. RESULTS The average BMI was 23.81 ± 3.42 kg/m2, with overweight and obesity prevalence at 34.29 % and 11.24 %, respectively. North China had the highest obesity rate (27.93 %), followed by West (26.64 %), South (25.37 %) and East China (20.06 %). Functionaries (e.g. as civil servants, corporate executives) had higher BMI than employees or intellectual professionals, while workers had higher BMI than farmers. Intellectual professionals had the lowest rates of metabolically healthy obesity (MHO) at 4.90 % and metabolically unhealthy obesity (MUO) at 3.47 %, followed by employees (MHO 6.63 %, MUO 4.45 %) and functionaries (MHO 6.74 %, MUO 4.94 %). Workers had the highest MHO prevalence rate at 8.51 %, while farmers had the highest MUO rate at 6.16 %. Obesity-associated complications were 1.5-3 times more common among obese individuals than those in the normal BMI category, with inequality observed across different occupational groups. CONCLUSIONS In China, a large number of adults with obesity have poor metabolic health, highlighting the importance of considering metabolic status when addressing obesity-related chronic diseases. Addressing the inequality in obesity rates can inform public health strategies to tackle the increasing problem of obesity and its associated complications in China.
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Affiliation(s)
- Peng Ting
- Health Management Center, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Tao Wang
- Department of Ophthalmology, Changchun Aier Eye Hospital, China
| | - Min Fu
- Ophthalmology Department of Zhujiang Hospital Afliated to Southern Medical University, Guangdong, China
| | - Ren Lin
- Health Management Center, Renmin Hospital of Wuhan University, Wuhan, China
| | - Min Hong
- Department of Health Management & Institute of Health Management, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Zhian Zheng
- School of Computer and Information Engineering, Central South University of Forestry and Technology, Changsha, China
| | - Jiangang Wang
- Health Management Center, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Yanhui Lin
- Health Management Center, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China.
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Spyksma EE, Alexandridou A, Mai K, Volmer DA, Stokes CS. An Overview of Different Vitamin D Compounds in the Setting of Adiposity. Nutrients 2024; 16:231. [PMID: 38257127 PMCID: PMC10820956 DOI: 10.3390/nu16020231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Revised: 01/05/2024] [Accepted: 01/06/2024] [Indexed: 01/24/2024] Open
Abstract
A large body of research shows an association between higher body weight and low vitamin D status, as assessed using serum 25-hydroxyvitamin D concentrations. Vitamin D can be metabolised in adipose tissue and has been reported to influence gene expression and modulate inflammation and adipose tissue metabolism in vitro. However, the exact metabolism of vitamin D in adipose tissue is currently unknown. White adipose tissue expresses the vitamin D receptor and hydroxylase enzymes, substantially involved in vitamin D metabolism and efficacy. The distribution and concentrations of the generated vitamin D compounds in adipose tissue, however, are largely unknown. Closing this knowledge gap could help to understand whether the different vitamin D compounds have specific health effects in the setting of adiposity. This review summarises the current evidence for a role of vitamin D in adipose tissue and discusses options to accurately measure vitamin D compounds in adipose tissue using liquid chromatography tandem mass spectrometry (LC/MS-MS).
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Affiliation(s)
- Eva E. Spyksma
- Food and Health Research Group, Faculty of Life Sciences, Humboldt University Berlin, 14195 Berlin, Germany;
- Bioanalytical Chemistry, Department of Chemistry, Humboldt University Berlin, 12489 Berlin, Germany; (A.A.); (D.A.V.)
| | - Anastasia Alexandridou
- Bioanalytical Chemistry, Department of Chemistry, Humboldt University Berlin, 12489 Berlin, Germany; (A.A.); (D.A.V.)
| | - Knut Mai
- Department of Endocrinology & Metabolism, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117 Berlin, Germany;
- German Centre for Cardiovascular Research (DZHK), Partner Site Berlin, 10785 Berlin, Germany
- German Center for Diabetes Research, 90451 Nuremberg, Germany
- Department of Human Nutrition, German Institute of Human Nutrition, 14558 Nuthetal, Germany
| | - Dietrich A. Volmer
- Bioanalytical Chemistry, Department of Chemistry, Humboldt University Berlin, 12489 Berlin, Germany; (A.A.); (D.A.V.)
| | - Caroline S. Stokes
- Food and Health Research Group, Faculty of Life Sciences, Humboldt University Berlin, 14195 Berlin, Germany;
- Department of Molecular Toxicology, German Institute of Human Nutrition, 14558 Nuthetal, Germany
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Wang JS, Xia PF, Ma MN, Li Y, Geng TT, Zhang YB, Tu ZZ, Jiang L, Zhou LR, Zhang BF, Tong WW, Shan Z, Liu G, Yang K, Pan A. Trends in the Prevalence of Metabolically Healthy Obesity Among US Adults, 1999-2018. JAMA Netw Open 2023; 6:e232145. [PMID: 36892842 PMCID: PMC9999245 DOI: 10.1001/jamanetworkopen.2023.2145] [Citation(s) in RCA: 20] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/10/2023] Open
Abstract
IMPORTANCE Improved understanding of trends in the proportion of individuals with metabolically healthy obesity (MHO) may facilitate stratification and management of obesity and inform policy efforts. OBJECTIVES To characterize trends in the prevalence of MHO among US adults with obesity, overall and by sociodemographic subgroups. DESIGN, SETTING, AND PARTICIPANTS This survey study included 20 430 adult participants from 10 National Health and Nutrition Examination Survey (NHANES) cycles between 1999-2000 and 2017-2018. The NHANES is a series of cross-sectional and nationally representative surveys of the US population conducted continuously in 2-year cycles. Data were analyzed from November 2021 to August 2022. EXPOSURES National Health and Nutrition Examination Survey cycles from 1999-2000 to 2017-2018. MAIN OUTCOMES AND MEASURES Metabolically healthy obesity was defined as a body mass index of 30.0 (calculated as weight in kilograms divided by height in meters squared) without any metabolic disorders in blood pressure, fasting plasma glucose (FPG), high-density lipoprotein cholesterol (HDL-C), or triglycerides based on established cutoffs. Trends in the age-standardized prevalence of MHO were estimated using logistic regression analysis. RESULTS This study included 20 430 participants. Their weighted mean (SE) age was 47.1 (0.2) years; 50.8% were women, and 68.8% self-reported their race and ethnicity as non-Hispanic White. The age-standardized prevalence (95% CI) of MHO increased from 3.2% (2.6%-3.8%) in the 1999-2002 cycles to 6.6% (5.3%-7.9%) in the 2015-2018 cycles (P < .001 for trend). There were 7386 adults with obesity. Their weighted mean (SE) age was 48.0 (0.3) years, and 53.5% were women. The age-standardized proportion (95% CI) of MHO among these 7386 adults increased from 10.6% (8.8%-12.5%) in the 1999-2002 cycles to 15.0% (12.4%-17.6%) in the 2015-2018 cycles (P = .02 for trend). Substantial increases in the proportion of MHO were observed for adults aged 60 years or older, men, non-Hispanic White individuals, and those with higher income, private insurance, or class I obesity. In addition, there were significant decreases in the age-standardized prevalence (95% CI) of elevated triglycerides (from 44.9% [40.9%-48.9%] to 29.0% [25.7%-32.4%]; P < .001 for trend) and reduced HDL-C (from 51.1% [47.6%-54.6%] to 39.6% [36.3%-43.0%]; P = .006 for trend). There was also a significant increase in elevated FPG (from 49.7% [95% CI, 46.3%-53.0%] to 58.0% [54.8%-61.3%]; P < .001 for trend) but no significant change in elevated blood pressure (from 57.3% [53.9%-60.7%] to 54.0% [50.9%-57.1%]; P = .28 for trend). CONCLUSIONS AND RELEVANCE The findings of this cross-sectional study suggest that the age-standardized proportion of MHO increased among US adults from 1999 to 2018, but differences in trends existed across sociodemographic subgroups. Effective strategies are needed to improve metabolic health status and prevent obesity-related complications in adults with obesity.
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Affiliation(s)
- Jiang-Shui Wang
- Ministry of Education Key Laboratory of Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - Peng-Fei Xia
- Ministry of Education Key Laboratory of Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - Meng-Nan Ma
- Ministry of Education Key Laboratory of Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - Yue Li
- Ministry of Education Key Laboratory of Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - Ting-Ting Geng
- Ministry of Education Key Laboratory of Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - Yan-Bo Zhang
- Ministry of Education Key Laboratory of Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - Zhou-Zheng Tu
- Ministry of Education Key Laboratory of Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - Limiao Jiang
- Ministry of Education Key Laboratory of Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - Li-Rong Zhou
- Department of Endocrinology, Affiliated Dongfeng Hospital, Hubei University of Medicine, Shiyan, Hubei Province, China
| | - Bing-Fei Zhang
- Department of Endocrinology, Affiliated Dongfeng Hospital, Hubei University of Medicine, Shiyan, Hubei Province, China
| | - Wen-Wei Tong
- Department of Endocrinology, Affiliated Dongfeng Hospital, Hubei University of Medicine, Shiyan, Hubei Province, China
| | - Zhilei Shan
- Hubei Key Laboratory of Food Nutrition and Safety, Department of Nutrition and Food Hygiene, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - Gang Liu
- Hubei Key Laboratory of Food Nutrition and Safety, Department of Nutrition and Food Hygiene, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - Kun Yang
- Department of Endocrinology, Affiliated Dongfeng Hospital, Hubei University of Medicine, Shiyan, Hubei Province, China
| | - An Pan
- Ministry of Education Key Laboratory of Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
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