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Danpanichkul P, Ng CH, Muthiah MD, Duangsonk K, Kongarin S, Srisurapanont K, Pingwang P, Songmueang N, Nonthasoot C, Manosroi W, Nathisuwan S, Li F, Yang JD, Chen VL, Kim D, Noureddin M, Huang DQ, Wijarnpreecha K. Metabolic Syndrome and Metabolic Dysfunction-Associated Steatotic Liver Disease in Premenopausal Women: Global Trends and Projections to 2040. Mayo Clin Proc 2024; 99:1615-1628. [PMID: 38551541 DOI: 10.1016/j.mayocp.2023.12.025] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 12/10/2023] [Accepted: 12/28/2023] [Indexed: 10/05/2024]
Abstract
OBJECTIVE To quantify the burden of metabolic dysfunction-associated steatotic liver disease (MASLD) and related metabolic disorders in premenopausal women. PATIENTS AND METHODS Between 2010 and 2019, global evaluations of prevalence, mortality, disability-adjusted life years (DALYs), and their age-standardized rate (ASR) were conducted for metabolic conditions such as MASLD, type 2 diabetes mellitus, dyslipidemia, hypertension (HTN), obesity, and polycystic ovarian syndrome. Subgroup assessments were conducted according to geographical regions and the sociodemographic index. The predictive models were established to estimate mortality and DALYs through 2040. RESULTS In 2019, the most significant ASR of deaths was found in HTN (11.37; 9.52 to 13.45), followed by obesity (10.49; 7.57 to 13.64). In contrast, the greatest ASR of DALYs was attributed to obesity (816.13; 581.41 to 1073.32), followed by HTN (634.73; 536.75 to 744.77). The mortality rates for dyslipidemia (-0.55%) and HTN (-0.72%) have been decreasing over time, but there has been an increase in obesity (+0.58%), type 2 diabetes mellitus (+0.85%), and MASLD (+0.51%). Lower sociodemographic index countries exhibit a higher disability-to-prevalence ratio. In 2040, obesity is predicted to cause the most deaths (+41.59% from 2019). CONCLUSION The escalating impact of metabolic syndrome, the rising trends in death rates linked to obesity, and the disparities based on region and socioeconomic status in premenopausal women underscore the alarming increase in the global burden of metabolic syndrome.
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Affiliation(s)
- Pojsakorn Danpanichkul
- Immunology Unit, Chiang Mai University, Chiang Mai, Thailand; Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.
| | - Cheng Han Ng
- Division of Gastroenterology and Hepatology, Department of Medicine, National University Health System, Singapore
| | - Mark D Muthiah
- Division of Gastroenterology and Hepatology, Department of Medicine, National University Health System, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Kwanjit Duangsonk
- Department of Microbiology, Chiang Mai University, Chiang Mai, Thailand
| | | | | | | | | | | | - Worapaka Manosroi
- Division of Endocrinology, Department of Internal Medicine, Chiang Mai University, Chiang Mai, Thailand; Clinical Epidemiology and Clinical Statistics Center, Chiang Mai University, Chiang Mai, Thailand
| | - Surakit Nathisuwan
- Clinical Pharmacy Division, Department of Pharmacy, Faculty of Pharmacy, Mahidol University, Thailand
| | - Fang Li
- School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Ju Dong Yang
- Karsh Division of Gastroenterology and Hepatology, Comprehensive Transplant Center, and Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Vincent L Chen
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Donghee Kim
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Mazen Noureddin
- Houston Research Institute and Houston Methodist Hospital, Houston, TX, USA
| | - Daniel Q Huang
- Division of Gastroenterology and Hepatology, Department of Medicine, National University Health System, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Karn Wijarnpreecha
- Division of Gastroenterology and Hepatology, Department of Medicine, University of Arizona College of Medicine, Phoenix, AZ, USA; Department of Internal Medicine, Banner University Medical Center, Phoenix, AZ, USA.
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Gharacheh L, Amini-Rarani M, Torabipour A, Karimi S. A Scoping Review of Possible Solutions for Decreasing Socioeconomic Inequalities in Type 2 Diabetes Mellitus. Int J Prev Med 2024; 15:5. [PMID: 38487697 PMCID: PMC10935579 DOI: 10.4103/ijpvm.ijpvm_374_22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2022] [Accepted: 05/17/2023] [Indexed: 03/17/2024] Open
Abstract
Background As socioeconomic inequalities are key factors in access and utilization of type 2 diabetes (T2D) services, the purpose of this scoping review was to identify solutions for decreasing socioeconomic inequalities in T2D. Methods A scoping review of scientific articles from 2000 and later was conducted using PubMed, Web of Science (WOS), Scopus, Embase, and ProQuest databases. Using the Arksey and O'Malley framework for scoping review, articles were extracted, meticulously read, and thematically analyzed. Results A total of 7204 articles were identified from the reviewed databases. After removing duplicate and nonrelevant articles, 117 articles were finally included and analyzed. A number of solutions and passways were extracted from the final articles. Solutions for decreasing socioeconomic inequalities in T2D were categorized into 12 main solutions and 63 passways. Conclusions Applying identified solutions in diabetes policies and interventions would be recommended for decreasing socioeconomic inequalities in T2D. Also, the passways could be addressed as entry points to help better implementation of diabetic policies.
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Affiliation(s)
- Laleh Gharacheh
- Student Research Committee, School of Management and Medical Information Sciences, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Mostafa Amini-Rarani
- Social Determinants of Health Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Amin Torabipour
- Social Determinants of Health Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Saeed Karimi
- Health Management and Economics Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
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Ra JS. Factors associated with the combination of general and abdominal obesity in middle-aged and older Korean women: a cross-sectional study. Osong Public Health Res Perspect 2023; 14:379-387. [PMID: 37920895 PMCID: PMC10626319 DOI: 10.24171/j.phrp.2023.0089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 06/01/2023] [Accepted: 06/29/2023] [Indexed: 11/04/2023] Open
Abstract
BACKGROUND To identify factors associated with general and abdominal obesity in middle-aged and older Korean women based on the biopsychosocial model. METHODS Data from 4,076 women aged ≥45 years who participated in the Korea National Health and Nutrition Examination Survey from 2015 to 2020 were analyzed. Complex sampling analysis was performed using IBM SPSS ver. 26.0. RESULTS The combination of general and abdominal obesity was positively associated with age ≥65 years, postmenopausal status, and without breastfeeding experience among biomedical factors; depressive symptoms and prolonged (≥8 hours a day) sedentary behavior among psychosocial factors; and an educational level lower than middle or high school graduation and the first and second income quantiles among biosocial factors. CONCLUSION Healthcare providers in communities and public societies should screen for risk factors for the combination of general and abdominal obesity while considering non-modifiable biomedical (e.g., age) and biosocial factors (e.g., educational level). In addition, intervention strategies should be developed by considering modifiable psychosocial factors such as sedentary behavior.
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Affiliation(s)
- Jin Suk Ra
- College of Nursing, Chungnam National University, Daejeon, Republic of Korea
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Chung GKK, Robinson M, Marmot M, Woo J. Monitoring socioeconomic inequalities in health in Hong Kong: insights and lessons from the UK and Australia. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2023; 31:100636. [PMID: 36879790 PMCID: PMC9985041 DOI: 10.1016/j.lanwpc.2022.100636] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Revised: 10/13/2022] [Accepted: 10/20/2022] [Indexed: 11/13/2022]
Abstract
In many developed countries such as the UK and Australia, addressing socioeconomic inequalities in health is a priority in their policy agenda, with well-established practices and authorities to collect and link selected health and social indicators for long-term monitoring. Nonetheless, the monitoring of socioeconomic inequalities in health in Hong Kong remains in a piecemeal manner. Also, the common international practice to monitor inequalities at area level appears to be unsuitable in Hong Kong due to its small, compact, and highly interconnected built environment that limits the variation of neighbourhood deprivation level. To enhance inequality monitoring in Hong Kong, we aim to draw reference and lesson from the UK and Australia to explore the feasible steps forward regarding collection of health indicators and contextually appropriate equity stratifiers with strong implication on policy actions, and discuss potential strategies to promote the public awareness and motivations for a more comprehensive inequality monitoring system.
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Affiliation(s)
- Gary Ka-Ki Chung
- CUHK Institute of Health Equity, The Chinese University of Hong Kong, Hong Kong, China
| | - Mark Robinson
- Institute for Social Science Research, University of Queensland, Indooroopilly, Queensland, Australia
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Michael Marmot
- CUHK Institute of Health Equity, The Chinese University of Hong Kong, Hong Kong, China
- UCL Institute of Health Equity, Research Department of Epidemiology and Public Health, University College London, London, UK
| | - Jean Woo
- CUHK Institute of Health Equity, The Chinese University of Hong Kong, Hong Kong, China
- CUHK Institute of Ageing, The Chinese University of Hong Kong, Hong Kong, China
- Department of Medicine & Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
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Zhu Y, Hu C, Lin L, Wang S, Lin H, Huo Y, Wan Q, Qin Y, Hu R, Shi L, Su Q, Yu X, Yan L, Qin G, Tang X, Chen G, Xu M, Xu Y, Wang T, Zhao Z, Gao Z, Wang G, Shen F, Luo Z, Chen L, Li Q, Ye Z, Zhang Y, Liu C, Wang Y, Wu S, Yang T, Deng H, Chen L, Zeng T, Zhao J, Mu Y, Wang W, Ning G, Bi Y, Chen Y, Lu J. Obesity mediates the opposite association of education and diabetes in Chinese men and women: Results from the REACTION study. J Diabetes 2022; 14:739-748. [PMID: 36217863 PMCID: PMC9705800 DOI: 10.1111/1753-0407.13325] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 09/06/2022] [Accepted: 09/17/2022] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Evidence regarding the impact of education on diabetes risk is scarce in developing countries. We aimed to explore the association between education and diabetes within a large population in China and to identify the possible mediators between them. METHODS Information on educational level and lifestyle factors was collected through questionnaires. Diabetes was diagnosed from self-report and biochemical measurements. A structural equation model was constructed to quantify the mediation effect of each mediator. RESULTS Compared with their least educated counterparts, men with college education had a higher risk of diabetes (odds ratio [OR] 1.19; 95% confidence interval [CI], 1.12-1.27), while college-educated women were less likely to have diabetes (OR 0.77; 95% CI, 0.73-0.82). Obesity was the strongest mediator in both genders (proportion of mediation: 11.6% in men and 23.9% in women), and its association with education was positive in men (β[SE] 0.0387 [0.0037]) and negative in women (β[SE] -0.0824 [0.0030]). Taken together, all behavioral factors explained 12.4% of the excess risk of diabetes in men and 33.3% in women. CONCLUSIONS In a general Chinese population, the association between education level and diabetes was positive in men but negative in women. Obesity was the major mediator underlying the education disparities of diabetes risk, with a stronger mediation effect among women.
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Affiliation(s)
- Yuanyue Zhu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumors, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Chunyan Hu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumors, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Lin Lin
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumors, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Shuangyuan Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumors, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Hong Lin
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumors, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Yanan Huo
- Jiangxi Provincial People's Hospital Affiliated to Nanchang UniversityNanchangChina
| | - Qin Wan
- The Affiliated Hospital of Luzhou Medical CollegeLuzhouChina
| | - Yingfen Qin
- The First Affiliated Hospital of Guangxi Medical UniversityNanningChina
| | - Ruying Hu
- Zhejiang Provincial Center for Disease Control and PreventionHangzhouChina
| | - Lixin Shi
- Affiliated Hospital of Guiyang Medical UniversityGuiyangChina
| | - Qing Su
- Xinhua Hospital Affiliated to Shanghai Jiaotong University School of MedicineShanghaiChina
| | - Xuefeng Yu
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and TechnologyWuhanChina
| | - Li Yan
- Sun Yat‐sen Memorial Hospital, Sun Yat‐sen UniversityGuangzhouChina
| | - Guijun Qin
- The First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
| | - Xulei Tang
- The First Hospital of Lanzhou UniversityLanzhouChina
| | - Gang Chen
- Fujian Provincial Hospital, Fujian Medical UniversityFuzhouChina
| | - Min Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumors, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Yu Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumors, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Tiange Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumors, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Zhiyun Zhao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumors, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Zhengnan Gao
- Dalian Municipal Central Hospital Affiliated of Dalian Medical UniversityDalianChina
| | - Guixia Wang
- The First Hospital of Jilin UniversityChangchunChina
| | - Feixia Shen
- The First Affiliated Hospital of Wenzhou Medical UniversityWenzhouChina
| | - Zuojie Luo
- The First Affiliated Hospital of Guangxi Medical UniversityNanningChina
| | - Li Chen
- Qilu Hospital of Shandong UniversityJinanChina
| | - Qiang Li
- The Second Affiliated Hospital of Harbin Medical UniversityHarbinChina
| | - Zhen Ye
- Zhejiang Provincial Center for Disease Control and PreventionHangzhouChina
| | - Yinfei Zhang
- Central Hospital of Shanghai Jiading DistrictShanghaiChina
| | - Chao Liu
- Jiangsu Province Hospital on Integration of Chinese and Western MedicineNanjingChina
| | - Youmin Wang
- The First Affiliated Hospital of Anhui Medical UniversityHefeiChina
| | - Shengli Wu
- Karamay Municipal People's HospitalXinjiangChina
| | - Tao Yang
- The First Affiliated Hospital of Nanjing Medical UniversityNanjingChina
| | - Huacong Deng
- The First Affiliated Hospital of Chongqing Medical UniversityChongqingChina
| | - Lulu Chen
- Union HospitalTongji Medical College, Huazhong University of Science and TechnologyWuhanChina
| | - Tianshu Zeng
- Union HospitalTongji Medical College, Huazhong University of Science and TechnologyWuhanChina
| | - Jiajun Zhao
- Shandong Provincial Hospital affiliated to Shandong UniversityJinanChina
| | - Yiming Mu
- Chinese People's Liberation Army General HospitalBeijingChina
| | - Weiqing Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumors, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Guang Ning
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumors, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Yufang Bi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumors, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Yuhong Chen
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumors, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Jieli Lu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumors, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
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Ra JS. Sex differences in factors associated with prediabetes in Korean adults. Osong Public Health Res Perspect 2022; 13:142-152. [PMID: 35538686 PMCID: PMC9091636 DOI: 10.24171/j.phrp.2022.0053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 04/03/2022] [Indexed: 11/05/2022] Open
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