1
|
Bian Z, Ren L, Bian J. Research trends of traditional Chinese non-pharmacological therapy in the management of overweight and obesity from 2004 to 2023: A bibliometric study. Complement Ther Med 2024; 87:103099. [PMID: 39414091 DOI: 10.1016/j.ctim.2024.103099] [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: 07/30/2024] [Revised: 10/05/2024] [Accepted: 10/07/2024] [Indexed: 10/18/2024] Open
Abstract
OBJECTIVE Traditional Chinese non-pharmacological therapy has gained popularity in the management of overweight and obesity. This study aims to reveal trends and hotspots of global research on traditional Chinese non-pharmacological therapies for overweight and obesity. METHODS Publications on traditional Chinese non-pharmacological therapies for overweight and obesity between 2004 and 2023 were searched from the Web of Science Core Collection. Bibliometric analyses and visualization were performed using VOSviewer, CiteSpace, and R software. RESULTS A total of 566 publications from 246 journals were included in this study. Annual number of publications and cited times in the field were generally increasing. China contributed the most publications, followed by the United States and Republic of Korea, and Chengdu University of Traditional Chinese Medicine from China had the highest number of publications among institutions. Stener-Victorin E was not only the most productive author but also, along with Cabioglu MT, the most cited authors. Evidence-Based Complementary and Alternative Medicine was both the largest source journal and the most cited journal. The highly cited references mainly consists of clinical trials, narrative reviews and systematic reviews focusing on acupuncture therapy. Keywords analysis indicated that acupuncture therapy and traditional Chinese exercise constituted the main components of traditional Chinese non-pharmacological therapy in weight management. CONCLUSIONS This study revealed a growing interest in traditional Chinese non-pharmacological therapies for managing overweight and obesity, with acupuncture therapies and traditional Chinese exercises as the main research focuses. This study offers insights into traditional Chinese non-pharmacological therapies in weight management, and may benefit further research.
Collapse
Affiliation(s)
- Zhiyuan Bian
- The Third Clinical College of Zhejiang Chinese Medical University, Hangzhou, China
| | - Leilei Ren
- Department of Traditional Chinese Medicine, Yuhang Street Community Health Service Center, Hangzhou, China
| | - Jin Bian
- Department of Acupuncture and Moxibustion and Massage, The Second People's Hospital of Yuhang District, Hangzhou, China.
| |
Collapse
|
2
|
Alageel AA, Ali Khan I. Involvement of Single Nucleotide Variants in the Klotho Gene Among Obesity Individuals with and without Type 2 Diabetes Mellitus in the Saudi Population. Diabetes Metab Syndr Obes 2024; 17:3603-3617. [PMID: 39363894 PMCID: PMC11448462 DOI: 10.2147/dmso.s473843] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2024] [Accepted: 09/05/2024] [Indexed: 10/05/2024] Open
Abstract
Purpose Aging is characterized by the gradual physiological changes and alterations that accumulate over time in the human body. The combination of obesity and ageing can lead to an increased risk of serious health issues or death. Single nucleotide variants (SNVs) in the Klotho gene were commonly studied, including that in type 2 diabetes mellitus (T2DM). Aim The aim of this study is to examine the possible effect of SNVs in Klotho on the obese population in Saudi Arabia using middle-aged participants with and without T2DM. Methods This study consists of 100 controls and 100 obesity patients, in which 50 had T2DM and the remaining 50 were obese without T2DM. Genotyping was performed with PCR, and Sanger sequencing analysis was used to validate the molecular association. Results In this study, rs1207568 (p = 0.001-0.003) and rs9527025 (p = 0.001-0.00004) SNVs were associated with obesity cases. However, none of the genotypes or allele frequencies showed a positive association with the rs564481 SNV (p = 0.344-0.881). The multiple linear regression model showed that waist and hip were associated (p = 0.01-0.02). ANOVA analysis showed age (p = 0.04), hip (p = 0.002), SBP, and TC (p = 0.02) were associated. Finally, SNV (rs1207568 and rs95270250) and obesity (p < 0.001) associations were confirmed through gene multifactor dimensionality reduction analysis with gene-gene interaction, dendrogram, and graphical depletion method. Conclusion This study concludes that rs1207568 and rs9527025 SNVs are associated with obesity in the Saudi population. Additional genetical statistics showed significant association between dependent and independent variables. SNVs in Klotho play a role in the Saudi population's susceptibility to obesity.
Collapse
Affiliation(s)
- Arwa A Alageel
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia
| | - Imran Ali Khan
- Medical Genomic Research Department, King Abdullah International Medical Research Center, King Saud Bin Abdulaziz University for Health Sciences, Ministry of National Guard-Health Affairs, Riyadh, Saudi Arabia
| |
Collapse
|
3
|
Qi Y, Zhang B, Yang H. Associations between body mass index and all-cause and CVD mortality in agriculture, forestry, and fishing occupations: A prospective cohort study using NHANES data (1999-2014). PLoS One 2024; 19:e0305922. [PMID: 38976691 PMCID: PMC11230546 DOI: 10.1371/journal.pone.0305922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Accepted: 06/06/2024] [Indexed: 07/10/2024] Open
Abstract
INTRODUCTION Obesity, as indicated by elevated Body Mass Index (BMI), is a well-established global health concern associated with increased morbidity and mortality across diverse populations. However, the influence of BMI on individuals in Agriculture, Forestry, and Fishing (AFF) occupations, characterized by unique challenges and environmental factors, has received limited research attention. METHODS Our study, a prospective cohort analysis, utilized National Health and Nutrition Examination Survey (NHANES) data from 1999-2014, targeting adults above 18 in AFF occupations with comprehensive BMI data, omitting individuals with a history of cancer. Mortality outcomes were extracted from the NHANES mortality file, and BMI was segmented into eight categories. Essential covariates such as age, sex, race, and various health factors were incorporated. The statistical analysis encompassed Cox regression, generalized additive models, smooth curve fitting, and stratified analyses. RESULTS During 1,005 person-years with 201 all-cause and 57 CVD deaths, we observed L-shaped and U-shaped correlations of BMI with all-cause and CVD mortality, featuring a pivotal inflection at 26.69 and 27.40 kg/m2. Above this BMI threshold of 26.69 and 27.4 kg/m2, all-cause mortality association was not significant while CVD mortality was positive. CONCLUSIONS This study highlights a unique BMI-mortality association in AFF occupations, diverging from standard patterns. The rigorous labor and environmental conditions in AFF jobs suggest that a certain range of higher BMI could reduce mortality risk. This highlights the necessity for tailored health guidelines in different occupations. Future research should concentrate on diverse health indicators and enhanced risk assessment for physically strenuous occupations.
Collapse
Affiliation(s)
- Yanmeng Qi
- International Medical Department, Xidan Campus, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Baoshan Zhang
- College of Environmental Science and Engineering, China West Normal University, Nanchong, China
- Key Laboratory of Sustainable Forest Management and Environmental Microorganism Engineering of Heilongjiang Province, Northeast Forestry University, Harbin, China
| | - Han Yang
- International Medical Department, Xidan Campus, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| |
Collapse
|
4
|
Chen Y, Yu W, Lv J, Sun D, Pei P, Du H, Yang L, Chen Y, Zhang H, Chen J, Chen Z, Li L, Yu C. Early adulthood BMI and cardiovascular disease: a prospective cohort study from the China Kadoorie Biobank. Lancet Public Health 2024:S2468-2667(24)00043-4. [PMID: 38885669 DOI: 10.1016/s2468-2667(24)00043-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Revised: 02/21/2024] [Accepted: 02/23/2024] [Indexed: 06/20/2024]
Abstract
BACKGROUND The associations of early adulthood BMI with cardiovascular diseases have yet to be completely delineated. There is little reliable evidence about these associations among east Asian populations, that differ in fat distribution, disease patterns, and lifestyle factors from other populations. We aimed to study the associations between early adulthood BMI and cardiovascular diseases in a Chinese population, and the effect of midlife lifestyle factors on outcomes. METHODS In this prospective analysis, we used data from the China Kadoorie Biobank, a large and long-term cohort from five urban areas and five rural areas, using participants aged 35-70 years. The primary outcome was the incidence of cardiovascular diseases as a group, ischaemic heart disease, haemorrhagic stroke, and ischaemic stroke, which were obtained mainly through linkage to disease registries and the national database for health insurance claims. Early adulthood BMI was assessed through self-report at baseline survey. We used Cox proportional hazards regression models to examine the prospective associations. We also undertook multiplicative and additive interaction analyses to investigate the potential modification effect of midlife healthy lifestyle factors (a combined score covering smoking, drinking, physical activity, and diet). FINDINGS Participants were recruited for baseline survey between June, 2004, and July, 2008. During a median follow-up of 12·0 years (IQR 11·3-13·1), we documented 57 203 (15·9%) of incident cardiovascular diseases in 360 855 participants. After adjustment for potential confounders, monotonic dose-response associations were observed between higher early adulthood BMI and increased risks of incident cardiovascular diseases. Compared with an early adulthood BMI of 20·5-22·4 kg/m2 (the reference group), the hazard ratios for a BMI of less than 18·5 kg/m2 was 0·97 (95% CI 0·94-1·00), 18·5-20·4 kg/m2 was 0·97 (0·95-0·99), 22·5-23·9 kg/m2 was 1·04 (1·02-1·07), 24·0-25·9 kg/m2 was 1·12 (1·09-1·15), 26·0-27·9 kg/m2 was 1·19 (1·14-1·24), 28·0-29·9 kg/m2 was 1·34 (1·25-1·44), and ≥30·0 kg/m2 was 1·58 (1·42-1·75). Except for haemorrhagic stroke, lower early adulthood BMI (<20·5 kg/m2) was associated with decreased incident cardiovascular disease risks. No significant interaction was found between midlife healthy lifestyle factors and early adulthood BMI on cardiovascular disease risks. INTERPRETATION Increased risks of cardiovascular disease incidence were found among participants with high early adulthood adiposity, including ischaemic heart disease, haemorrhagic stroke, and ischaemic stroke. Our findings suggest early adulthood as an important time to focus on weight management and obesity prevention for cardiovascular health later in life. FUNDING National Natural Science Foundation of China, National Key Research and Development Program of China, Chinese Ministry of Science and Technology, Kadoorie Charitable Foundation, and the Wellcome Trust.
Collapse
Affiliation(s)
- Yuanyuan Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Wei Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Bejing, China
| | - Dianjianyi Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China; Center for Public Health and Epidemic Preparedness & Response, Peking University, Beijing, China
| | - Pei Pei
- Center for Public Health and Epidemic Preparedness & Response, Peking University, Beijing, China
| | - Huaidong Du
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Ling Yang
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Yiping Chen
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Huanxu Zhang
- Tongxiang Center for Disease Control and Prevention, Zhejiang, China
| | - Junshi Chen
- China National Center for Food Safety Risk Assessment, Beijing, China
| | - Zhengming Chen
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China; Center for Public Health and Epidemic Preparedness & Response, Peking University, Beijing, China
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Bejing, China.
| |
Collapse
|
5
|
Sadat Rafiei SK, Fateh F, Arab M, Espanlo M, Dahaghin S, Karami Gilavand H, Shahrokhi M, Fallahi MS, Zardast Z, Ansari A, Seifhashemi SA, Kheirandish A, Erabi G, Ahmadi Hajikolaei F, Nakhaee M, Deravi N. Weight Change and the Risk of Micro and Macro Vascular Complications of Diabetes: A Systematic Review. Malays J Med Sci 2024; 31:18-31. [PMID: 38984251 PMCID: PMC11229574 DOI: 10.21315/mjms2024.31.3.2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 12/14/2023] [Indexed: 07/11/2024] Open
Abstract
Type 2 diabetes mellitus (T2DM) is a metabolic disease that can be a significant cause of cardiovascular disease (CVD), leading to macrovascular and microvascular diseases. Many researchers around the world have investigated the effects of weight change on micro and macro CVD in patients with T2DM. This study aimed to investigate the effect of weight change (weight gain and loss) on microvascular and macrovascular complications in patients with T2DM. We searched PubMed, Scopus and Google Scholar from the database until January 2023. We screened the title, abstract, and full text of articles, and after quality assessment, we extracted data from interrelated ones into this systematic review. Reviewing the results of 11 cohort studies with 219,839 individuals (T2DM patients) showed that weight loss caused an increase in the mortality rate in diabetic patients, while weight gain after diabetes diagnosis increased the risk of CVD, chronic kidney disease (CKD), microvascular disease, stroke and mortality. It should be noted that severe body weight variability increases the mortality rate and the risk of microvascular disease. Unlike other studies, one study showed that more than 5% weight gain positively affected CVD and coronary heart disease in T2DM patients. Generally, weight change in patients with T2DM is an essential sign of cardiovascular complications. According to our findings, the risk of cardiovascular complications in patients with weight loss is seen to be higher than in patients with weight gain. In regular patients with body mass index (BMI), stable weight in a healthy range is reported to decrease the risk of CVD.
Collapse
Affiliation(s)
- Seyyed Kiarash Sadat Rafiei
- Student Research Committee, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fardad Fateh
- Student Research Committee, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mahla Arab
- Student Research Committee, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mohammad Espanlo
- Student Research Committee, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Saba Dahaghin
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Helia Karami Gilavand
- Student Research Committee, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | | | | | - Zahra Zardast
- Student Research Committee, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Arina Ansari
- Student Research Committee, School of Medicine, North Khorasan University of Medical Sciences, Bojnurd, Iran
| | - Seyyed Alireza Seifhashemi
- Student Research Committee, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Ali Kheirandish
- Department of Pharmacology, School of Medicine, Iran University of Medical Sciences, Hemmat Highway, Tehran, Iran
| | - Gisou Erabi
- Student Research Committee, Urmia University of Medical Sciences, Urmia, Iran
| | | | - Mahdi Nakhaee
- Department of Laboratory Medicine, Faculty of Paramedical Sciences, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
| | - Niloofar Deravi
- Student Research Committee, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| |
Collapse
|
6
|
Alves MA, Lotufo PA, Benseñor I, Marchioni DML. Dietary patterns and adiposity over time - analysis of the ELSA-Brasil. Eur J Nutr 2024; 63:1203-1211. [PMID: 38366269 DOI: 10.1007/s00394-024-03350-w] [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: 05/25/2023] [Accepted: 01/20/2024] [Indexed: 02/18/2024]
Abstract
PURPOSE Combining different statistical methods to identify dietary patterns (DP) may provide new insights on how diet is associated with adiposity. This study investigated the association of DP derived from three data-driven methods and adiposity indicators over time. METHODS This study used data from the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). DP were identified at baseline applying three statistical methods: Factor Analysis (FA), Treelet Transform (TT), and Reduced Rank Regression (RRR). The association between DP and adiposity indicators (weight, body mass index, waist circumference, body fat percentage and fat mass index) over the period of 8.2 years of follow-up was assessed by linear mixed-models. RESULTS Convenience DP, marked by unhealthy food groups, was associated with higher adiposity over the follow-up period, regardless of the method applied. The DP identified by TT and marked by high consumption of rice and beans was associated with lower adiposity, whereas the similar DP identified by FA, but additionally characterised by consumption of poultry and red meat was associated with higher adiposity. Prudent DP, marked by plant-based food groups and fish, identified by FA was associated with lower adiposity across the median follow-up time. CONCLUSION Applying different methods to identify DP showed that a convenience DP was associated with higher adiposity independent of the method applied. We also identified the nuances within adherence to a Brazilian traditional dietary pattern characterised by the consumption of rice and beans, that only when combined with reduced consumption of animal protein and unhealthy foods was associated with lower adiposity over time.
Collapse
Affiliation(s)
- Mariane A Alves
- Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil
| | - Paulo A Lotufo
- Center for Clinical and Epidemiological Research, University Hospital, University of São Paulo, São Paulo, Brazil
| | - Isabela Benseñor
- Center for Clinical and Epidemiological Research, University Hospital, University of São Paulo, São Paulo, Brazil
| | - Dirce Maria L Marchioni
- Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil.
| |
Collapse
|
7
|
Hatfield DP, Sharma S, Bailey CP, Bakun P, Hennessy E, Simon C, Economos CD. Implementation of nutrition and physical activity-related policies and practices on college campuses participating in the Healthier Campus initiative. JOURNAL OF AMERICAN COLLEGE HEALTH : J OF ACH 2024; 72:1192-1199. [PMID: 35549645 DOI: 10.1080/07448481.2022.2071617] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Revised: 04/05/2022] [Accepted: 04/25/2022] [Indexed: 06/15/2023]
Abstract
Objective: To evaluate implementation of nutrition/physical activity-related policies/practices at colleges participating in a healthy campus initiative and campus health leaders' perceptions of policies/practices' support for student health and ease of/barriers to implementation. Participants: Health leaders at colleges participating in the Healthier Campus Initiative (HCI), with completed or ongoing three-year HCI commitments. Methods: Surveys asked which of 41 guidelines were implemented and perceptions around support for student health and ease of/barriers to implementation. Qualitative interviews explored similar domains. Results: Campuses with completed HCI commitments (n = 17) averaged 27.6 guidelines implemented, versus 21.1 on campuses with commitments ongoing (n = 13; p = 0.003). Perceived support for student health and implementation ease varied by guideline. Common implementation barriers included financial costs and time. Interviews largely reinforced these findings. Conclusions: Completion of a campus environmental change initiative may be associated with more health-supporting practices. Campuses may benefit from implementing coordinated policy/practice changes supporting healthy eating and physical activity.
Collapse
Affiliation(s)
- Daniel P Hatfield
- ChildObesity180 and the Friedman School of Nutrition Science and Policy at Tufts University, Boston, Massachusetts, USA
| | - Shanti Sharma
- ChildObesity180 and the Friedman School of Nutrition Science and Policy at Tufts University, Boston, Massachusetts, USA
| | - Caitlin P Bailey
- ChildObesity180 and the Friedman School of Nutrition Science and Policy at Tufts University, Boston, Massachusetts, USA
| | - Peter Bakun
- ChildObesity180 and the Friedman School of Nutrition Science and Policy at Tufts University, Boston, Massachusetts, USA
| | - Erin Hennessy
- ChildObesity180 and the Friedman School of Nutrition Science and Policy at Tufts University, Boston, Massachusetts, USA
| | - Caitlin Simon
- The Partnership for a Healthier America, Washington, District of Columbia, USA
| | - Christina D Economos
- ChildObesity180 and the Friedman School of Nutrition Science and Policy at Tufts University, Boston, Massachusetts, USA
| |
Collapse
|
8
|
Halloran EC. Adult Development and Associated Health Risks. J Patient Cent Res Rev 2024; 11:63-67. [PMID: 38596352 PMCID: PMC11000702 DOI: 10.17294/2330-0698.2050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/11/2024] Open
Abstract
Much has been learned about adult development in recent decades. Adults go through stages of development (emerging adulthood, young adulthood, middle adulthood, post-retirement, and very old age) with certain challenges at each stage. Viewing patients through a developmental lens is part of providing patient-centered care. Knowing the prominent issues, stressors, and risks at each stage of development is important in understanding patients. This knowledge can help customize medical advice to patients regarding obesity, disability, sleep, substance use, relationships, and age-related declines. This paper summarizes an updated view of adult development and discusses its relevance to health risks and patient-centered care practices at different stages.
Collapse
Affiliation(s)
- Elizabeth C Halloran
- Family Medicine Residency Program, Bon Secours Mercy Health - St. Vincent Medical Center, Toledo, OH
| |
Collapse
|
9
|
Shi X, Deng G, Wen H, Lin A, Wang H, Zhu L, Mou W, Liu Z, Li X, Zhang J, Cheng Q, Luo P. Role of body mass index and weight change in the risk of cancer: A systematic review and meta-analysis of 66 cohort studies. J Glob Health 2024; 14:04067. [PMID: 38547495 PMCID: PMC10978059 DOI: 10.7189/jogh.14.04067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/02/2024] Open
Abstract
Background This study was designed to evaluate the effects of body mass index (BMI) and weight change on the risk of developing cancer overall and cancer at different sites. Methods We searched PubMed and other databases up to July 2023 using the keywords related to 'risk', 'cancer', 'weight', 'overweight', and 'obesity'. We identified eligible studies, and the inclusion criteria encompassed cohort studies in English that focused on cancer diagnosis and included BMI or weight change as an exposure factor. Multiple authors performed data extraction and quality assessment, and statistical analyses were carried out using RevMan and R software. We used random- or fixed-effects models to calculate the pooled relative risk (RR) or hazard ratio along with 95% confidence intervals (CIs). We used the Newcastle-Ottawa Scale to assess study quality. Results Analysis included 66 cohort studies. Compared to underweight or normal weight, overweight or obesity was associated with an increased risk of endometrial cancer, kidney cancer, and liver cancer but a decreased risk of prostate cancer and lung cancer. Being underweight was associated with an increased risk of gastric cancer and lung cancer but not that of postmenopausal breast cancer or female reproductive cancer. In addition, weight loss of more than five kg was protective against overall cancer risk. Conclusions Overweight and obesity increase the risk of most cancers, and weight loss of >5 kg reduces overall cancer risk. These findings provide insights for cancer prevention and help to elucidate the mechanisms underlying cancer development. Registration Reviewregistry1786.
Collapse
Affiliation(s)
- Xiaoye Shi
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, China
| | - Gengwen Deng
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
- The First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, China
| | - Haiteng Wen
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, China
| | - Anqi Lin
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Haitao Wang
- Thoracic Surgery Branch, Centre for Cancer Research, National Institutes of Health, Bethesda, Maryland, USA
| | - Lingxuan Zhu
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
- Department of Aetiology and Carcinogenesis, National Cancer Centre, National Clinical Research Centre for Cancer, Cancer Hospital, Changping Laboratory, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Weiming Mou
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
- Department of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zaoqu Liu
- Key Laboratory of Proteomics, Beijing Proteome Research Centre, National Centre for Protein Sciences, Beijing Institute of Lifeomics, Beijing, China
- Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Department of Pathophysiology, Peking Union Medical College, Beijing, China
| | - Xiaohua Li
- Department of Respiratory and Critical Care Medicine, Sixth People’s Hospital of Chengdu, Chengdu, Sichuan, China
| | - Jian Zhang
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Quan Cheng
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Clinical Research Centre for Geriatric Disorders, Xiangya Hospital, Central South University, Hunan, China
| | - Peng Luo
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| |
Collapse
|
10
|
Zhao F, Zhao Q, Wang H, Wang K, Kong S, Ma P, Wang X. Weight changes from early to middle adulthood and cardiometabolic multimorbidity later in life among middle-aged and older adults: a retrospective cohort study from the NHANES 1999-2018. Front Endocrinol (Lausanne) 2024; 15:1306551. [PMID: 38440787 PMCID: PMC10910024 DOI: 10.3389/fendo.2024.1306551] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Accepted: 01/29/2024] [Indexed: 03/06/2024] Open
Abstract
Background Weight gain in adulthood can influence the development of diabetes and cardiovascular diseases. It is speculated that weight gain is related to cardiometabolic multimorbility (CMM). This study was designed to examine the relationships between weight changes from early to middle adulthood and the risk of CMM. Methods Data of the National Health and Nutrition Examination Survey (NHANES) 1999-2018 cycles were analyzed in the present study. Weights at age 25 years and 10 years before recruitment were self-reported and were used to define five weight change patterns including stable normal, maximum overweight, obesity to non-obesity, non-obesity to obesity, and stable obesity patterns. Meanwhile, absolute weight changes were classified into five groups: weight loss≥ 2.5 kg, weight change within 2.5 kg, 2.5 kg≤ weight gain < 10.0 kg, 10.0 kg≤ weight gain < 20.0 kg, and weight gain≥ 20.0 kg. CMM was defined as the coexistence of two or three of diabetes, coronary heart disease (CHD), and stroke. Results A total of 25,994 participants were included. Across adulthood, compared to stable normal weight, maximal overweight, obesity to non-obesity, non-obesity to obesity, and stable obesity were consistently associated with increased risks of diabetes, CHD, and CMM. For instance, stable obesity was respectively related to 358.0% (HR: 4.58, 95% CI: 4.57, 4.58), 88.0% (HR: 1.88, 95% CI: 1.88, 1.88), and 292.0% (HR: 3.92, 95% CI: 3.91, 3.92) higher risks of diabetes, CHD, and CMM. Meanwhile, any account of weight loss and gain was linked to higher risks of diabetes, CHD, and CMM than weight change within 2.5 kg. However, participants with maximum overweight had a decreased incidence of stroke (HR: 0.85, 95% CI: 0.85, 0.86), and weight loss ≥ 2.5 kg and weight gain ≥ 2.5 and <20 kg were also related to a lower risk of stroke. J-shaped or U-shaped associations of absolute weight changes with the risks of diabetes, CHD, and CMM were observed. Conclusions Maintaining a stable normal weight can benefit more from the prevention of diabetes, CHD, and CMM. Both weight gain and loss across adulthood were accompanied by increased risks of diabetes, CHD, and CMM.
Collapse
Affiliation(s)
| | | | | | | | | | | | - Xin Wang
- Department of Cardiology, Henan Provincial Chest Hospital, Zhengzhou, China
| |
Collapse
|
11
|
Giacone L, Sob C, Siegrist M, Hartmann C. Intuitive eating and its influence on self-reported weight and eating behaviors. Eat Behav 2024; 52:101844. [PMID: 38280314 DOI: 10.1016/j.eatbeh.2024.101844] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 01/12/2024] [Accepted: 01/16/2024] [Indexed: 01/29/2024]
Abstract
Intuitive eating (IE) is an adaptive eating behavior that involves paying attention to the body's physiological signals, including eating when hungry and stopping when feeling full. A growing body of literature has examined the effect of IE on the development of maladaptive eating behaviors and body weight, even though IE is not centered around the latter. However, longitudinal observation studies among the general population are still rare. Therefore, this study aimed to longitudinally examine the links between IE and changes in body weight, maladaptive eating behaviors (reward, external, restrained eating), and overeating frequency over time. For this purpose, we used data from the first (2017) and the fourth waves (2020) of the Swiss Food Panel 2.0 survey, which included 1821 randomly selected Swiss participants. The same participants completed a self-administered questionnaire annually, measuring their self-reported eating behaviors and weight status. IE was measured with the Intuitive Eating Scale-2. Results showed that women with high IE scores were more likely to maintain their body weights (within ±2 kg) and less likely to gain weight (>2 kg) than women with low IE scores. No such effects were found for men. Furthermore, IE was linked to a reduction in maladaptive eating behaviors and overeating frequency over time in both genders. Results suggest that IE may counteract maladaptive eating behaviors, which can promote weight stability over time. Therefore, the encouragement of IE patterns seems to be a promising strategy to address problematic eating behaviors and the challenges associated with controlling food intake and prevention of overeating.
Collapse
Affiliation(s)
- Luana Giacone
- ETH Zurich, Institute of Food, Nutrition, and Health (IFNH), Consumer Behavior, Universitaetstrasse 22, CH-8092 Zurich, Switzerland.
| | - Cynthia Sob
- ETH Zurich, Institute of Food, Nutrition, and Health (IFNH), Consumer Behavior, Universitaetstrasse 22, CH-8092 Zurich, Switzerland
| | - Michael Siegrist
- ETH Zurich, Institute of Food, Nutrition, and Health (IFNH), Consumer Behavior, Universitaetstrasse 22, CH-8092 Zurich, Switzerland
| | - Christina Hartmann
- ETH Zurich, Institute of Food, Nutrition, and Health (IFNH), Consumer Behavior, Universitaetstrasse 22, CH-8092 Zurich, Switzerland
| |
Collapse
|
12
|
Fang W, Yuan X, Li W, Seery S, Chen G, Cai Z, Huang Z, Wang X, Wu W, Chen Z, Li Y, Wu S, Chen Y. Excessive weight gain onset-age and risk of developing diabetes mellitus: a large, prospective Chinese cohort study. Front Endocrinol (Lausanne) 2023; 14:1281203. [PMID: 38089629 PMCID: PMC10711082 DOI: 10.3389/fendo.2023.1281203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Accepted: 10/31/2023] [Indexed: 12/18/2023] Open
Abstract
Background Excessive weight gain and obesity are widely accepted as risk factors for diabetes mellitus, and the age at which obesity onsets may be related to the development of cardiovascular diseases and certain cancers. Here, we aimed to investigate associations between the onset-age of overweight/obesity and risk of developing diabetes mellitus in China. Methods 42,144 people with the normal weight range and without diabetes at baseline, were enrolled from the Kailuan cohort which began on the 1st June 2006. All participants were followed-up, biennially, until 31st December 2017. During follow-up, 11,220 participants had become overweight/obese. For each case, one normal-weight control was matched according to age ( ± 1 year) and sex. Our final analysis included 10,858 case-control pairs. An age-scaled Cox model was implemented to estimate hazard ratios (HR) with corresponding 95% confidence intervals (CI) for diabetes mellitus incidence across age-groups. Results At a median follow-up of 5.46 years, 1,403 cases of diabetes mellitus were identified. After multivariate adjustments, age-scaled Cox modelling suggested that risk gradually attenuated with every 10 year increase in age of onset of overweight/obesity. Diabetes mellitus adjusted HRs (aHRs) for new-onset overweight/obesity at <45years, 45-54 years, and 55-64 years were 1.47 (95%CI, 1.12-1.93), 1.38 (95%CI, 1.13-1.68), 1.32 (95%CI, 1.09-1.59), respectively. However, new-onset of overweight/obesity at ≥65 years did not relate to diabetes mellitus (aHR, 1.20; 95%CI, 0.92-1.57). This trend was not observed in women or the new-onset obesity subgroup but was evident in men and the new overweight onset subgroup. Conclusion Participants with early onset of excessive weight gain issues are at considerably higher risk of developing diabetes mellitus compared to those who maintain a normal weight.
Collapse
Affiliation(s)
- Wei Fang
- Department of Cardiology, Second Affiliated Hospital of Fourth Military Medical University, Xi’an, China
| | - Xiaojie Yuan
- Department of Epidemiology, School of Public Health, Fourth Military Medical University, Xi’an, China
| | - Weijian Li
- Shantou University Medical College, Shantou, China
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Samuel Seery
- Faculty of Health and Medicine, Division of Health Research, Lancaster University, Lancaster, United Kingdom
| | | | - Zefeng Cai
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Zegui Huang
- Shantou University Medical College, Shantou, China
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Xianxuan Wang
- Shantou University Medical College, Shantou, China
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Weiqiang Wu
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Zhichao Chen
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Yan Li
- Department of Cardiology, Second Affiliated Hospital of Fourth Military Medical University, Xi’an, China
| | - Shouling Wu
- Department of Cardiology, Kailuan General Hospital, Tangshan, China
| | - Youren Chen
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, China
| |
Collapse
|
13
|
Anderson LN, Alvarez E, Incze T, Tarride JE, Kwan M, Mbuagbaw L. Motivational interviewing to promote healthy behaviors for obesity prevention in young adults (MOTIVATE): a pilot randomized controlled trial protocol. Pilot Feasibility Stud 2023; 9:156. [PMID: 37679845 PMCID: PMC10483727 DOI: 10.1186/s40814-023-01385-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 08/22/2023] [Indexed: 09/09/2023] Open
Abstract
BACKGROUND Obesity is a chronic disease and is an established risk factor for other chronic diseases and mortality. Young adulthood is a period when people may be highly amenable to healthy behavior change, develop lifelong healthy behaviors, and when primary prevention of obesity may be feasible. Interventions in early adulthood have the potential for primary or primordial prevention (i.e., preventing risk factors before disease onset). The primary objective of this study is to determine the feasibility of a 6-month behavioral and educational intervention to promote healthy behaviors for obesity prevention among young adults. METHODS This is the study protocol for a pilot randomized controlled trial. Young adults (age 18-29) attending McMaster University, Hamilton, Canada, will be recruited and randomized to either the intervention or control. The intervention will include individual motivational interviewing sessions (online or in-person) with a trained interviewer plus educational materials (based on Canada's food guide and physical activity recommendations). The control group will receive educational materials only. The primary feasibility outcomes that will be evaluated as part of this pilot study include enrollment, retention (≥ 80%), data completion (≥ 80% of weights measured, and surveys completed), and participant satisfaction. Secondary clinical outcomes will include body mass index (BMI) change from baseline to 6 months, physical activity, nutrition risk, health-related quality of life mental health, and economic outcomes. Outcomes will be measured remotely using activity trackers, and online questionnaires at baseline and every 2 months. Risk stratification will be applied at baseline to identify participants at high risk of obesity (e.g., due to family or personal history). Exit questionnaires will collect data on how participants felt about the study and cost analysis will be conducted. DISCUSSION Our pilot randomized controlled trial will evaluate the feasibility of an obesity prevention intervention in early adulthood and will inform future larger studies for obesity prevention. The results of this study have the potential to directly contribute to the primary prevention of several types of cancer by testing an intervention that could be scalable to public health, post-secondary education, or primary care settings. TRIAL REGISTRATION https://clinicaltrials.gov/ct2/show/NCT05264740 . Registered on March 3, 2022.
Collapse
Affiliation(s)
- Laura N Anderson
- Department of Health Research Methods, Evidence, and Impact, McMaster University, 1280 Main Street W, Hamilton, ON, L8S 4L8, Canada.
- Child Health Evaluative Sciences, Hospital for Sick Children Research Institute, Toronto, ON, Canada.
- Center for Health Economics and Policy Analysis (CHEPA), McMaster University, Hamilton, ON, Canada.
| | - Elizabeth Alvarez
- Department of Health Research Methods, Evidence, and Impact, McMaster University, 1280 Main Street W, Hamilton, ON, L8S 4L8, Canada
- Center for Health Economics and Policy Analysis (CHEPA), McMaster University, Hamilton, ON, Canada
| | - Taylor Incze
- Department of Health Research Methods, Evidence, and Impact, McMaster University, 1280 Main Street W, Hamilton, ON, L8S 4L8, Canada
| | - Jean-Eric Tarride
- Department of Health Research Methods, Evidence, and Impact, McMaster University, 1280 Main Street W, Hamilton, ON, L8S 4L8, Canada
- Center for Health Economics and Policy Analysis (CHEPA), McMaster University, Hamilton, ON, Canada
- Programs for Assessment of Technology in Health (PATH), The Research Institute of St. Joe's Hamilton, St. Joseph's Healthcare, Hamilton, Canada
| | - Matthew Kwan
- Department of Child and Youth Studies, Brock University, St. Catharines, ON, Canada
- Department of Family Medicine, McMaster University, Hamilton, ON, Canada
| | - Lawrence Mbuagbaw
- Department of Health Research Methods, Evidence, and Impact, McMaster University, 1280 Main Street W, Hamilton, ON, L8S 4L8, Canada
- Department of Pediatrics, McMaster University, Hamilton, ON, Canada
- Biostatistics Unit, Father Sean O'Sullivan Research Centre, St Joseph's Healthcare, Hamilton, ON, Canada
- Centre for Development of Best Practices in Health (CDBPH), Yaoundé Central Hospital, Yaoundé, Cameroon
- Division of Epidemiology and Biostatistics, Department of Global Health, Stellenbosch University, Cape Town, South Africa
- Department of Anaesthesia, McMaster University, Hamilton, ON, Canada
| |
Collapse
|
14
|
Joseph MD, Hatch EE, Koenig MR, Eisenberg ML, Wang TR, Sommer GJ, Stuver SO, Rothman KJ, Wise LA. A North American study of anthropometric factors and semen quality. Fertil Steril 2023; 120:586-596. [PMID: 37164117 PMCID: PMC10524695 DOI: 10.1016/j.fertnstert.2023.04.040] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Revised: 04/27/2023] [Accepted: 04/28/2023] [Indexed: 05/12/2023]
Abstract
OBJECTIVE To evaluate the association between anthropometric measures and semen parameters. DESIGN Cross-sectional study. SUBJECTS Male participants aged ≥21 years. We analyzed data from 659 males (1185 samples) participating in a semen testing substudy of the Pregnancy Online Study (PRESTO), a North American preconception cohort study. After enrollment, we invited males aged ≥21 years to perform at-home semen testing using the Trak system. EXPOSURE(S) Participants reported selected anthropometric variables (current weight, height, waist circumference, and weight at age 17 years) and covariate data via an online baseline questionnaire. MAIN OUTCOME MEASURE(S) We used generalized estimating equations models to estimate the percent difference in mean log-transformed semen parameter values and 95% confidence intervals (CI) for associations between selected anthropometric variables and semen volume (mL), sperm concentration (million/mL), and total sperm count (million), adjusting for sociodemographics, lifestyle factors, and medical history. We also evaluated World Health Organization-defined thresholds for low semen quality. RESULT(S) Percentage differences in mean log-transformed semen volume, sperm concentration, and total sperm count (95% CI) comparing current body mass index ≥35 vs. <25 kg/m2 were -6.3 (-15.8, 4.3), -6.4 (-24.6, 16.2), and -12.2 (-31.1, 11.8), respectively. Percentage differences (95% CIs) comparing waist circumferences of ≥42 vs. <31 inches were -4.2 (-15.0, 8.0), -6.4 (-27.6, 21.0), and -10.4 (-31.9, 17.9) for semen volume, sperm concentration, and total sperm count, respectively. Greater adult weight gain since age 17 years was associated with reduced semen volume (≥25 vs. <5 kg; percent difference, -9.7; 95% CI, -18.4, 0.1), but not sperm concentration or total sperm count. The highest categories of each anthropometric variable generally were associated with World Health Organization-defined low total sperm count (≤39 million). CONCLUSION(S) Selected anthropometric factors were associated modestly with poorer semen quality.
Collapse
Affiliation(s)
- Marlon D Joseph
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
| | - Elizabeth E Hatch
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
| | - Martha R Koenig
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
| | - Michael L Eisenberg
- Department of Obstetrics and Gynecology, Stanford University, Stanford, California; Department of Urology, Stanford University, Stanford, California
| | - Tanran R Wang
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
| | | | - Sherri O Stuver
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
| | - Kenneth J Rothman
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
| | - Lauren A Wise
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts.
| |
Collapse
|
15
|
Yu HJ, Ho M, Liu X, Yang J, Chau PH, Fong DYT. Incidence and temporal trends in type 2 diabetes by weight status: A systematic review and meta-analysis of prospective cohort studies. J Glob Health 2023; 13:04088. [PMID: 37651631 PMCID: PMC10471153 DOI: 10.7189/jogh.13.04088] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/02/2023] Open
Abstract
Background Diabetes is more prevalent among overweight/obese individuals, but has become a significant public health challenge among normal weight populations. In this meta-analysis, we aimed to estimate diabetes/prediabetes incidence and its temporal trends by weight status. Methods PubMed, Embase, Web of Science, and Cochrane Library were searched until 8 December 2021. Prospective cohort studies reporting diabetes incidence by baseline body mass index (BMI) categories in adults were included. The median year of data collection was used to assess the temporal trends. Subgroup analyses and meta-regression were also performed. Results We included 94 studies involving 3.4 million adults from 22 countries. The pooled diabetes incidence in underweight, normal-weight, and overweight/obese adults was 4.5 (95% confidence interval (CI) = 2.8-7.3), 2.7 (95% CI = 2.2-3.3), and 10.5 (95% CI = 9.3-11.8) per 1000 person-years, respectively. The diabetes incidence in low- and middle-income countries (LMICs) was higher than in high-income countries among normal-weight (5.8 vs 2.0 per 1000 person-years) or overweight/obese (15.9 vs 8.9 per 1000 person-years) adults. European and American regions had a higher diabetes incidence than the non-Western areas, regardless of weight status. Underweight diabetes incidence decreased significantly from 1995-2000 to 2005-2010. Diabetes incidence in normal-weight populations has increased continuously since 1985 by an estimated 36% every five years. In overweight/obese adults, diabetes incidence increased between 1985-1990 and 1995-2000, stabilised between 2000 and 2010, and spiked suddenly after 2010. Conclusions Diabetes incidence and its temporal trends differed by weight status. The continuous upward trend of diabetes incidence among overweight/obese individuals requires urgent attention, particularly in LMICs. Furthermore, diabetes among normal-weight individuals is becoming a significant public health problem. Registration PROSPERO (CRD42020215957).
Collapse
Affiliation(s)
- Hong-jie Yu
- School of Nursing, University of Hong Kong, Hong Kong SAR, China
| | - Mandy Ho
- School of Nursing, University of Hong Kong, Hong Kong SAR, China
| | - Xiangxiang Liu
- National Clinical Research Center for Infectious Diseases, The Third People’s Hospital of Shenzhen, Shenzhen, China
| | - Jundi Yang
- School of Nursing, University of Hong Kong, Hong Kong SAR, China
| | - Pui Hing Chau
- School of Nursing, University of Hong Kong, Hong Kong SAR, China
| | | |
Collapse
|
16
|
Fan H, Zhang X. Association between the age at onset of overweight and obesity and the subsequent risk of hypertension in Chinese adults. BMC Cardiovasc Disord 2023; 23:333. [PMID: 37391689 PMCID: PMC10311763 DOI: 10.1186/s12872-023-03347-z] [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: 07/14/2022] [Accepted: 06/13/2023] [Indexed: 07/02/2023] Open
Abstract
BACKGROUND Data on the impact of age at onset of overweight/obesity on the risk of hypertension are limited. We aimed to investigate the above-mentioned association in Chinese population. METHODS 6700 adults who participated in at least three survey waves and were free of overweight/obesity and hypertension on first survey were included using China Health and Nutrition Survey. The age of participants at the onset of overweight/obesity (body mass index ≥ 24 kg/m2) and subsequent hypertension occurrence (blood pressure ≥ 140/90 mmHg or use of antihypertensive medication) were identified. We used the covariate-adjusted Poisson model with robust standard error to calculate the relative risk (RR) and 95% confidence interval (95%CI) to examine the relationship between the age at onset of overweight/obesity and hypertension. RESULTS There were 2,284 new-onset overweight/obesity cases and 2,268 incident cases of hypertension during an average 13.8-year follow-up period. Compared with the population without overweight/obesity, the RR (95% CI) of hypertension was 1.45 (1.28-1.65), 1.35 (1.21-1.52) and 1.16 (1.06-1.28) for overweight/obesity onset in participants aged < 38 years, 38-47 years, and ≥ 47 years, respectively. The risk of hypertension increased linearly with a decrease in age at onset of overweight/obesity (P < 0.001 for trend). The sensitivity analyses results were similar after excluding the participants taking antihypertensive medications or those with new-onset obesity or using waist circumference to define overweight/obesity. CONCLUSIONS Our results emphasize the importance of assessing age at onset of overweight/obesity to prevent hypertension.
Collapse
Affiliation(s)
- Hui Fan
- Department of Epidemiology and Health Statistics, School of Public Health, North Sichuan Medical College, Nanchong, Sichuan China
| | - Xingyu Zhang
- Thomas E.Starzl Transplantation Institute, University of Pittsburgh Medical Center, Pittsburgh, USA
| |
Collapse
|
17
|
Li DL, Liang G, Yin ZJ, Li YZ, Zheng YJ, Qin Y, Zhang YJ, Pan CW. Associations between sleep characteristics, chronotype and body mass index among Chinese college freshmen. Chronobiol Int 2023; 40:803-811. [PMID: 37154043 DOI: 10.1080/07420528.2023.2210667] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Revised: 03/08/2023] [Accepted: 05/01/2023] [Indexed: 05/10/2023]
Abstract
Research indicates that sleep problem is a behavioral risk factor of obesity. However, few research have applied a multi-dimensional approach to investigate the relationship between sleep health and adiposity. Therefore, the current study aimed to examine the associations of sleep characteristics (duration, quality) and chronotype with overweight/obesity as measured by body mass index. Data were obtained from 2014 college students from the Dali University in the Yunnan province of China in the year 2021. Sleep characteristics and chronotype were measured using self-reported questionnaires. The presence of overweight/obesity was assessed by anthropometric measurements. Multiple logistic regression models and restricted cubic spline hazard models were established to examine associations between sleep characteristics, chronotype and adiposity. After adjusting for demographic characteristics and other obesity-related behavioral risk factors, evening type was positively associated with overweight/obesity, and an L-shaped dose-effect relationship was observed between chronotype scores and the presence of overweight/obesity. However, sleep duration and quality were not associated with the presence of overweight/obesity in the logistic regression models and restrictive cubic splines models. This study indicated that Chinese college students who had the evening chronotype were more likely to be affected by overweight/obesity. Chronotype as an important dimension of sleep health should be incorporated in obesity intervention programs.
Collapse
Affiliation(s)
- Dan-Lin Li
- School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Gang Liang
- Department of Ophthalmology, The Affiliated Hospital of Yunnan University, Kunming, China
- Department of Ophthalmology, The Second People's Hospital of Yunnan Province, Kunming, China
| | - Zhi-Jian Yin
- Department of Ophthalmology, The First Affiliated Hospital of Dali University, Dali, China
| | - Yue-Zu Li
- Department of Ophthalmology, The Affiliated Hospital of Yunnan University, Kunming, China
- Department of Ophthalmology, The Second People's Hospital of Yunnan Province, Kunming, China
| | - Ya-Jie Zheng
- Department of Ophthalmology, The Affiliated Hospital of Yunnan University, Kunming, China
- Department of Ophthalmology, The Second People's Hospital of Yunnan Province, Kunming, China
| | - Yu Qin
- Department of Ophthalmology, The Affiliated Hospital of Yunnan University, Kunming, China
- Department of Ophthalmology, The Second People's Hospital of Yunnan Province, Kunming, China
| | - You-Jie Zhang
- School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Chen-Wei Pan
- School of Public Health, Medical College of Soochow University, Suzhou, China
| |
Collapse
|
18
|
Guo S, Hua L, Liu W, Liu H, Chen Q, Li Y, Li X, Zhao L, Li R, Zhang Z, Zhang C, Zhu L, Sun H, Zhao H. Multiple metal exposure and metabolic syndrome in elderly individuals: A case-control study in an active mining district, Northwest China. CHEMOSPHERE 2023; 326:138494. [PMID: 36966925 DOI: 10.1016/j.chemosphere.2023.138494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 03/19/2023] [Accepted: 03/21/2023] [Indexed: 06/18/2023]
Abstract
The prevalence of metabolic syndrome (MetS) is increasing at an alarming rate worldwide, particularly among elderly individuals. Exposure to various metals has been linked to the development of MetS. However, limited studies have focused attention on the elderly population living in active mining districts. Participants with MetS (N = 292) were matched for age (±2 years old) and sex with a healthy subject (N = 292). We measured the serum levels of 14 metals in older people aged 65-85 years. Conditional logistic regression, restricted cubic spline model, multiple linear regression, and Bayesian Kernel Machine Regression (BKMR) were applied to estimate potential associations between multiple metals and the risk of MetS. Serum levels of Sb and Fe were significantly higher than the controls (0.58 μg/L vs 0.46 μg/L, 2167 μg/L vs 2042 μg/L, p < 0.05), while Mg was significantly lower (20035 μg/L vs 20,394 μg/L, p < 0.05). An increased risk of MetS was associated with higher serum Sb levels (adjusted odds ratio (OR) = 1.61 for the highest tertile vs. the lowest tertile, 95% CI = 1.08-2.40, p-trend = 0.018) and serum Fe levels (adjusted OR = 1.55 for the highest tertile, 95% CI = 1.04-2.33, p-trend = 0.032). Higher Mg levels in serum may have potential protective effects on the development of MetS (adjusted OR = 0.61 for the highest tertile, 95% CI = 0.41-0.91, p-trend = 0.013). A joint exposure analysis by the BKMR model revealed that the mixture of 12 metals (except Tl and Cd) was associated with increased risk of MetS. Our results indicated that exposure to Sb and Fe might increase the risk of MetS in an elderly population living in mining-intensive areas. Further work is needed to confirm the protective effect of Mg on MetS.
Collapse
Affiliation(s)
- Sai Guo
- MOE Key Laboratory of Pollution Processes and Environmental Criteria, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Liting Hua
- MOE Key Laboratory of Pollution Processes and Environmental Criteria, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Wu Liu
- Jingyuan County Center for Disease Control and Prevention, Baiyin, Gansu, 730699, China
| | - Hongxiu Liu
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430000, Hubei, China
| | - Qiusheng Chen
- Institute of Agro-product Safety and Nutrition, Tianjin Academy of Agricultural Sciences, Tianjin, 300381, China
| | - Yongcheng Li
- MOE Key Laboratory of Pollution Processes and Environmental Criteria, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Xiaoxiao Li
- MOE Key Laboratory of Pollution Processes and Environmental Criteria, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Leicheng Zhao
- MOE Key Laboratory of Pollution Processes and Environmental Criteria, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Ruoqi Li
- MOE Key Laboratory of Pollution Processes and Environmental Criteria, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Zining Zhang
- MOE Key Laboratory of Pollution Processes and Environmental Criteria, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Chong Zhang
- MOE Key Laboratory of Pollution Processes and Environmental Criteria, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Lin Zhu
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hong Kong, China
| | - Hongwen Sun
- MOE Key Laboratory of Pollution Processes and Environmental Criteria, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Hongzhi Zhao
- MOE Key Laboratory of Pollution Processes and Environmental Criteria, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China.
| |
Collapse
|
19
|
van den Hout WJ, Mook-Kanamori DO, van Peet PG, Büchner FL, Elzinga BM, Rosendaal FR, de Mutsert R, Numans ME. Association of mental health and negative life events with weight change in patients with overweight: A cohort study. J Affect Disord 2023; 334:325-331. [PMID: 37160236 DOI: 10.1016/j.jad.2023.05.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 04/25/2023] [Accepted: 05/02/2023] [Indexed: 05/11/2023]
Abstract
BACKGROUND It is unclear to what extent mental health and negative life events (NLEs) contribute to weight change in patients with overweight. This study aimed to evaluate the association of anxiety, depression, NLEs and quality of life (QoL) with weight change over ten years in middle-aged individuals with overweight. METHODS Population-based cohort study of 2889 middle-aged men and women with a body mass index ≥27 kg/m2. Relative weight change over ten years was defined as weight loss (≤- 5 %), stable weight (between >- 5 % and <5 %) or weight gain (≥5 %). At baseline, participants reported anxiety symptoms, depressive symptoms, recent (last year) and distant (lifetime) NLEs, and a mental component summary of QoL. With multinomial logistic regression adjusting for potential confounding, we examined the association of mental health and NLEs with weight change after a median (25th, 75th percentiles) follow-up of 9.7 (9.0-10.5) years. RESULTS In 51 % participants weight was stable, 33 % participants lost weight and 17 % gained weight. Mild (odds ratio 1.36; 95 % confidence interval 1.05-1.75), and moderate to very severe depressive symptoms (1.43; 0.97-2.12) and four or more distant NLEs (1.35; 1.10-1.67) were associated with weight gain. Anxiety symptoms, the mental component summary of QoL were not associated with either weight gain or weight loss. LIMITATIONS Due to the observational design residual confounding cannot be excluded. CONCLUSION Our study suggests that depressive symptoms or having experienced distant NLEs are associated with weight gain over time in middle-aged individuals with overweight. These subgroups might benefit from proactive attention from their health care providers.
Collapse
Affiliation(s)
- Willemijn J van den Hout
- Department of Public Health and Primary Care, Leiden University Medical Center, the Netherlands.
| | - Dennis O Mook-Kanamori
- Department of Public Health and Primary Care, Leiden University Medical Center, the Netherlands; Department of Clinical Epidemiology, Leiden University Medical Center, the Netherlands
| | - Petra G van Peet
- Department of Public Health and Primary Care, Leiden University Medical Center, the Netherlands
| | - Frederike L Büchner
- Department of Public Health and Primary Care, Leiden University Medical Center, the Netherlands
| | - Bernet M Elzinga
- Section of Clinical and Health Psychology, University of Leiden, the Netherlands
| | - Frits R Rosendaal
- Department of Clinical Epidemiology, Leiden University Medical Center, the Netherlands
| | - Renée de Mutsert
- Department of Clinical Epidemiology, Leiden University Medical Center, the Netherlands
| | - Mattijs E Numans
- Department of Public Health and Primary Care, Leiden University Medical Center, the Netherlands
| |
Collapse
|
20
|
Li YY, Yang YM, Zhu S, Cheng H, Hernandez J, Huang W, Wang HHX, Li YT. Changes in body weight and cardiovascular risk factors in a Chinese population with type 2 diabetes mellitus: a longitudinal study. Front Endocrinol (Lausanne) 2023; 14:1112855. [PMID: 37124734 PMCID: PMC10130380 DOI: 10.3389/fendo.2023.1112855] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Accepted: 03/03/2023] [Indexed: 05/02/2023] Open
Abstract
Introduction The primary care management of blood glucose, blood pressure, lipid profiles, and body weight is important among patients with type 2 diabetes mellitus (T2DM) to prevent disease progression. Information on how weight changes would improve or deteriorate cardiovascular (CV) risk factors is warranted for making primary care recommendations. We aimed to investigate the changes in body weight and CV risk factors and to analyse their association in a Chinese population with T2DM. Methods We retrieved longitudinal data between 2020 and 2021 from 1,758 adult primary care patients enrolled in a diabetic retinopathy (DR) screening programme. Linear associations of changes in body weight with CV risk factors were explored. Multivariable logistic regression analysis was performed to examine associations between different weight change categories and the worsening of CV risk factors. Results The mean age of all the participants was 63.71 years, and over half of participants were females. During a one-year follow-up period, 24.7% of patients had a weight loss of ≥3%, while 22.2% of patients had a weight gain of ≥3%. Patients who had a weight loss of ≥3% were more likely to prevent the worsening of haemoglobin A1c (HbA1c) and triglycerides, while those who had a weight gain of ≥3% tended to have worsened HbA1c, lipid profiles, and blood pressure. Conclusion Results from this real-world investigation suggested the concurrent need for weight loss intervention among patients who are overweight or obese and weight gain prevention among patients whose body weight falls within the normal range in the context of community-based diabetes management.
Collapse
Affiliation(s)
- Yun-Yi Li
- School of Public Health, Sun Yat-Sen University, Guangzhou, China
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangzhou, China
| | - Yu-Meng Yang
- School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Sufen Zhu
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Hui Cheng
- School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Jose Hernandez
- Faculty of Medicine and Health, EDU, Digital Education Holdings Ltd., Kalkara, Malta
- Green Templeton College, University of Oxford, Oxford, United Kingdom
| | - Wenyong Huang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangzhou, China
| | - Harry H. X. Wang
- School of Public Health, Sun Yat-Sen University, Guangzhou, China
- JC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China
- Usher Institute, Deanery of Molecular, Genetic & Population Health Sciences, The University of Edinburgh, Scotland, United Kingdom
| | - Yu Ting Li
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangzhou, China
| |
Collapse
|
21
|
Kwon SY, Kim G, Lee J, Park J, Lee YB, Jin SM, Hur KY, Kim JH. Association of body weight change with all-cause and cause-specific mortality: A nationwide population-based study. Diabetes Res Clin Pract 2023; 199:110666. [PMID: 37031890 DOI: 10.1016/j.diabres.2023.110666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Revised: 03/09/2023] [Accepted: 04/04/2023] [Indexed: 04/11/2023]
Abstract
AIMS Weight gain and loss increase the risk of all-cause mortality. This study explored the association of short-term weight change with all-cause and cause-specific mortality in middle-aged to older people. METHODS This was a 8.4-year retrospective cohort study of 645,260 adults aged 40 to 80 who underwent health checkups twice within a 2-year interval between January 2009 and December 2012. Cox analyses were used to analyze the association between short-term weight change and all-cause and cause-specific mortality. RESULTS Weight gain and loss were associated with an increased risk of all-cause mortality: the hazard ratios were 2.05 (95% confidence interval [CI], 1.93-2.16), 1.21 (95% CI, 1.16-1.25), 1.12 (95% CI 1.08-1.17), and 1.60 (95% CI, 1.49-1.70) for the severe weight loss, moderate weight loss, moderate weight gain, and severe weight gain groups, respectively. This U-shaped association was also seen between weight change and cause-specific mortality. Within the weight loss group, those who regained weight after two years had a reduced mortality risk. CONCLUSIONS In a middle-aged and elderly population, weight gain or loss of more than 3% during a 2-year interval was related to an elevated risk of all-cause and cause-specific mortality.
Collapse
Affiliation(s)
- So Yoon Kwon
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Gangnam‑gu, Seoul, Korea
| | - Gyuri Kim
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Gangnam‑gu, Seoul, Korea
| | - Jungkuk Lee
- Data Science Team, Hanmi Pharm. Co., Ltd., Seoul, Korea
| | - Jiyun Park
- Division of Endocrine and Metabolism, Department of Internal Medicine, CHA Bundang Medical Center, CHA University School of Medicine, Bundang-gu, Seongnam, Gyeonggi-do, Korea
| | - You-Bin Lee
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Gangnam‑gu, Seoul, Korea
| | - Sang-Man Jin
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Gangnam‑gu, Seoul, Korea
| | - Kyu Yeon Hur
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Gangnam‑gu, Seoul, Korea
| | - Jae Hyeon Kim
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Gangnam‑gu, Seoul, Korea; Department of Clinical Research Design and Evaluation, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University School of Medicine, Gangnam-gu, Seoul, Korea.
| |
Collapse
|
22
|
Huang Y, Sparks PJ. Longitudinal exposure to neighborhood poverty and obesity risk in emerging adulthood. SOCIAL SCIENCE RESEARCH 2023; 111:102796. [PMID: 36898786 PMCID: PMC10009773 DOI: 10.1016/j.ssresearch.2022.102796] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 08/31/2022] [Accepted: 09/02/2022] [Indexed: 06/18/2023]
Abstract
This study uses data from the longitudinal Panel Study of Income Dynamics data and its Transition to Adulthood (TA) Study (2005-2017), in conjunction with decades of neighborhood-level data from the U.S. decennial census and American Community Survey, to examine the relationship between individuals' neighborhood poverty exposure trajectories in childhood and the likelihood of obesity in emerging adulthood. Latent growth mixture models reveal that exposure to neighborhood poverty differs considerably for white and nonwhite individuals over their childhood life course. Durable exposure to neighborhood poverty confers greater subsequent obesity risks in emerging adulthood than transitory experiences of neighborhood poverty. Racial differences in the changing and persistent trajectories of neighborhood poverty help explain part of the racial differences in obesity risks. Among nonwhites, and compared to consistent nonpoor neighborhood conditions, both durable and transitory neighborhood poverty exposures are significantly associated with higher obesity risks. This study suggests that a theoretical framework that integrates key elements of the life-course perspective is helpful to uncover the individual and structural pathways through which neighborhood histories in poverty shape population health in general.
Collapse
Affiliation(s)
- Ying Huang
- Department of Demography, University of Texas at San Antonio, San Antonio, TX 78207, USA.
| | - P Johnelle Sparks
- Department of Demography, University of Texas at San Antonio, San Antonio, TX 78207, USA.
| |
Collapse
|
23
|
Ushula TW, Mamun A, Darssan D, Wang WYS, Williams GM, Whiting SJ, Najman JM. Dietary patterns and young adult body mass change: A 9-year longitudinal study. Eur J Nutr 2023; 62:1657-1666. [PMID: 36763149 DOI: 10.1007/s00394-023-03101-3] [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: 05/20/2022] [Accepted: 01/23/2023] [Indexed: 02/11/2023]
Abstract
PURPOSE While excessive weight gain is highest during young adulthood, the extent to which specific dietary patterns are associated with changes in measures of body mass in this course of life remains unknown. We aimed to examine the associations of dietary patterns at 21 years with changes in body weight and body mass index (BMI) between 21 and 30 years. METHODS We used data on young adults from a long-running birth cohort in Australia. Western and prudent dietary patterns were identified applying principal component analysis to 33 food groups obtained by a food frequency questionnaire at 21 years. Body weight and height were measured at 21 and 30 years. Multivariable regression models, using generalized estimating equations, were adjusted for concurrent changes in sociodemographic and lifestyle variables in evaluating the effect of identified dietary patterns on changes in weight and BMI over time. RESULTS In the fully adjusted model, young adults in the highest tertile of the Western pattern had a mean weight gain of 9.9 (95% CI 8.5, 11.3) kg compared to those in the lowest that had a mean weight gain of 7.1 (95% CI 5.6, 8.5) kg, P-for linear trend = 0.0015. The corresponding values for mean gains in BMI were 3.1 (95% CI 2.7, 3.6) kg/m2 for young adults in the highest tertile compared to 2.4 (95% CI 1.9, 2.9) kg/m2 for those in lowest, P-for linear trend = 0.0164. There was no evidence of a significant association between the prudent pattern and mean changes in each outcome over time in this study. CONCLUSIONS The findings of the current study show that greater adherence to the Western diet at 21 years was positively associated with increases in body weight and BMI from 21 to 30 years of age, whereas the prudent diet had no significant association with these outcomes. The findings provide evidence that the adverse effects of the Western diet on weight gain in young adulthood could partly be prevented through optimising diet in the early course of life.
Collapse
Affiliation(s)
- Tolassa W Ushula
- School of Public Health, Faculty of Medicine, The University of Queensland, 266 Herston Rd, Herston, QLD, 4006, Australia.
- Nutrition and Dietetics Department, Faculty of Public Health, Jimma University, Jimma, Ethiopia.
| | - Abdullah Mamun
- UQ Poche Centre for Indigenous Health, Faculty of Health and Behavioural Sciences, The University of Queensland, 74 High Street, Toowong, QLD, 4066, Australia
- The ARC Centre of Excellence for Children and Families Over the Life Course, The University of Queensland, 80 Meiers Road, Indooroopilly, QLD, 4068, Australia
| | - Darsy Darssan
- School of Public Health, Faculty of Medicine, The University of Queensland, 266 Herston Rd, Herston, QLD, 4006, Australia
| | - William Y S Wang
- Faculty of Medicine, The University of Queensland, Princess Alexandra Hospital, Brisbane, QLD, Australia
| | - Gail M Williams
- School of Public Health, Faculty of Medicine, The University of Queensland, 266 Herston Rd, Herston, QLD, 4006, Australia
| | - Susan J Whiting
- College of Pharmacy and Nutrition, University of Saskatchewan, 107 Wiggins Rd, Saskatoon, SK, Canada
| | - Jake M Najman
- School of Public Health, Faculty of Medicine, The University of Queensland, 266 Herston Rd, Herston, QLD, 4006, Australia
| |
Collapse
|
24
|
Khoshnoudi-Rad B, Hosseinpour-Niazi S, Javadi M, Mirmiran P, Azizi F. Relation of dietary insulin index and dietary insulin load to metabolic syndrome depending on the lifestyle factors: Tehran lipid and glucose study. Diabetol Metab Syndr 2022; 14:198. [PMID: 36585722 PMCID: PMC9801646 DOI: 10.1186/s13098-022-00968-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 12/15/2022] [Indexed: 12/31/2022] Open
Abstract
AIM The hypothesis of the effect of the insulinogenic effects of diet on the development of cardiovascular diseases has been proposed, but the findings of previous studies are very contradictory. We investigated the association between dietary insulin index (DII) and dietary insulin load (DIL), and metabolic syndrome (MetS) risk. Another objective was to examine the extent to which lifestyle (physical activity, smoking status, and weight change) and sex influence the relationship between DII, DIL, and MetS risk. MATERIALS AND METHODS We followed 1915 participants in the Tehran Lipid and Glucose Study. DIL and DII were calculated based on a validated food frequency questionnaire. Weight change was measured, and participants were categorized into > 3% weight loss, weight stable (± 3%), and > 3% weight gain. By joint classification, the association between DII and DIL (< median and ≥ median) and risk of MetS was assessed according to weight change, sex, physical activity levels, and smoking status. Cox proportional hazards models were used to estimate the HRs (95% CI), adjusting for potential confounders. RESULTS During 8.9 years of follow-up, among 1915 participants, we documented 591 new cases of MetS. DII and DIL were not associated with MetS risk in the crude and adjusted models. However, DIL and DII were associated with weight gain (≥ 3%). In the crude model, DIL and DII were associated with a higher risk of weight gain [HR: 1.74: 95% CI 1.50-2.03, and 1.70 (1.46-1.98), respectively]. These associations remained significant after further adjustment for confounders. The HRs were 1.61 (1.35-1.92) for DIL and 1.64 (1.39-1.93) for DII. Among men, women, participants with low physical activity levels, and smokers, the risk of MetS, independent of DIL and DII, only increased in a participant with weight gain. In women with weight stability, DIL and DII, higher than the median, were positively associated with MetS risk. CONCLUSION Our findings suggest that the association between MetS risk and a hyperinsulinemic diet depended on weight change.
Collapse
Affiliation(s)
- Bayyeneh Khoshnoudi-Rad
- Children Growth Research Center, Research Institute for Prevention of Non-Communicable Diseases, Qazvin University of Medical Sciences, Bahonar Blvd, P.O. Box: 34185-754, Qazvin, Iran
| | - Somayeh Hosseinpour-Niazi
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, No. 24, A'rabi St., Yeman Av., Velenjak, P.O. Box: 19395-4763, Tehran, Iran.
| | - Maryam Javadi
- Children Growth Research Center, Research Institute for Prevention of Non-Communicable Diseases, Qazvin University of Medical Sciences, Bahonar Blvd, P.O. Box: 34185-754, Qazvin, Iran.
| | - Parvin Mirmiran
- Department of Clinical Nutrition and Dietetics, Faculty of Nutrition Sciences and Food Technology, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| |
Collapse
|
25
|
Mohamed T, Souiy Z, Achour L, Hamden K. Anti-obesity, anti-hyperglycaemic, anti-antipyretic and analgesic activities of Globularia alypum extracts. Arch Physiol Biochem 2022; 128:1453-1460. [PMID: 32536285 DOI: 10.1080/13813455.2020.1773865] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
OBJECTIVES The aim of this study is to evaluate the anti-obesity, anti-hyperglycaemic, analgesic and antipyretic activities of Globularia alypum (GA). MATERIALS AND METHODS GA methanol and water extracts (GAME, GAWE) were administered to high-fat-high-glucose diet (HFFD) rats. RESULTS This study showed that GAME exhibited the highest antioxidant, anti-α-amylase and anti-lipase activities, with half inhibitory concentration (IC50) values 0.067, 1.05 and 2.97 mg/ml respectively. In HFFD rats, the administration of GAME inhibited lipase activity by 36, 37 and 30% in the intestine, pancreas and serum, respectively, reduced body weight by 17.7% and modulated lipid profile. In addition, administration of GAME to HFFD-rats decreased α-amylase activity, improved glucose level and protected liver function. Furthermore, the administration of GA extracts to rats revealed antipyretic (reduction in writhing by 64%) and analgesic (decrease of temperature by 1.11 °C) activities. CONCLUSION This study showed that GA extracts exhibited an anti-obesity, anti-hyperglycaemia, anti-pyretic and analgesic activities.
Collapse
Affiliation(s)
- Tiss Mohamed
- Laboratory of Bioresources: Integrative Biology and Exploiting, Higher Institute of Biotechnology of Monastir, University of Monastir, Monastir, Tunisia
| | - Zoubeida Souiy
- Higher Institute of Technological Studies, Monastir, Tunisia
| | - Lotfi Achour
- Laboratory of Bioresources: Integrative Biology and Exploiting, Higher Institute of Biotechnology of Monastir, University of Monastir, Monastir, Tunisia
| | - Khaled Hamden
- Laboratory of Bioresources: Integrative Biology and Exploiting, Higher Institute of Biotechnology of Monastir, University of Monastir, Monastir, Tunisia
| |
Collapse
|
26
|
Orces CH. The Association of Obesity and the Antiaging Humoral Factor Klotho in Middle-Aged and Older Adults. ScientificWorldJournal 2022; 2022:7274858. [PMID: 36061981 PMCID: PMC9433301 DOI: 10.1155/2022/7274858] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Revised: 05/30/2022] [Accepted: 07/23/2022] [Indexed: 11/17/2022] Open
Abstract
Objectives Previous studies have reported conflicting results regarding the relationship between obesity and the antiaging humoral factor klotho. Thus, the present study aimed to examine the association of anthropometric measurements, weight history change, and vitamin D status with serum klotho levels. Methods The National Health and Nutrition Examination Survey data were used to compare sex-specific logarithm transformed serum klotho levels across standardized anthropometric measurements and weight change history in subjects aged 40-79 years. The baseline measured height, and self-reported weight were used to calculate the body mass index (BMI) at two-time intervals: age 25 and ten years before the measured BMI. Subjects were then categorized as never obese, obese to nonobese, nonobese to obese, and always obese. Results Of 4,971 participants, the prevalence of general obesity was 41%, and abdominal obesity (waist circumference ≥88 cm) was present in 75% of women. Overall, lower serum klotho levels were seen in older adults, men, nonsmokers, alcohol users, and those with an estimated glomerular filtration rate (eGFR) < 60 ml/min. Multivariate models demonstrated that general and abdominal obesity in women was inversely associated with serum klotho levels. Moreover, women who developed obesity from age 25 and ten years before the baseline BMI had significantly lower mean klotho levels at 765.0 and 757.4 pg/ml compared with 820.5 pg/ml (p < 0.05) among those that were never obese, respectively. In contrast, serum klotho levels did not significantly differ among men, irrespective of their weight history. In a subanalysis, higher klotho levels were seen in participants with an adequate vitamin D status (≥50 nmol/L) than their overweight and obese counterparts (p < 0.05). Conclusions Obesity among women was significantly and inversely associated with serum klotho levels. Similarly, women who developed obesity during their lifetime had consistently lower klotho levels than their never-obese counterparts.
Collapse
Affiliation(s)
- Carlos H Orces
- Laredo Medical Center, 1700 E Saunders St. Laredo, Laredo 78041, TX, USA
| |
Collapse
|
27
|
Banack HR, Chang J, Stefanick ML, Arnold M, Anton-Culver H, Jiang L. Relationship between BMI trajectories and cardiometabolic outcomes in postmenopausal women: a growth mixture modeling approach. Ann Epidemiol 2022; 72:9-17. [PMID: 35469929 DOI: 10.1016/j.annepidem.2022.04.004] [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: 01/11/2022] [Revised: 04/08/2022] [Accepted: 04/10/2022] [Indexed: 11/22/2022]
Abstract
PURPOSE The objective of this manuscript is to identify longitudinal trajectories of change in body mass index (BMI) after menopause and investigate the association of BMI trajectories with risk of diabetes and cardiovascular disease (CVD) among postmenopausal women. METHODS Using data from 54,073 participants in the Women's Health Initiative (WHI) clinical trials, we used growth mixture modeling (GMM) to develop BMI trajectories. Cox proportional hazards models were used to examine the relationship between BMI trajectories with incident diabetes and CVD. Further, we stratified by hormone therapy trial arm and time since menopause. RESULTS Using GMM, we identified five BMI trajectories. We did not find evidence of substantial change in BMI over time; the trajectories were stable over the study follow-up period in this sample of postmenopausal women. Risk of diabetes and CVD increased by BMI trajectory; risk was greater for women in moderate-high, high, and very high BMI trajectories compared to those in the lowest trajectory group. CONCLUSIONS Despite minimal change in BMI over the follow-up period, our results demonstrate a strong association of high BMI with diabetes and CVD. These results highlight the importance of further longitudinal research focused on adverse health effects of BMI in older women.
Collapse
Affiliation(s)
- Hailey R Banack
- Dalla Lana School of Public Health, University of Toronto, 155 College Street, Health Sciences Building 6th Floor, Suite 600, Toronto, ON, M5T 3M7, Canada
| | - Jenny Chang
- Department of Medicine, University of California Irvine, Irvine, CA
| | | | - Melina Arnold
- Section of Cancer Surveillance, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | | | - Luohua Jiang
- Department of Epidemiology and Biostatistics, University of California Irvine, Irvine, CA.
| |
Collapse
|
28
|
Tang Q, Assali DR, Güler AD, Steele AD. Dopamine systems and biological rhythms: Let's get a move on. Front Integr Neurosci 2022; 16:957193. [PMID: 35965599 PMCID: PMC9364481 DOI: 10.3389/fnint.2022.957193] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Accepted: 07/06/2022] [Indexed: 02/05/2023] Open
Abstract
How dopamine signaling regulates biological rhythms is an area of emerging interest. Here we review experiments focused on delineating dopamine signaling in the suprachiasmatic nucleus, nucleus accumbens, and dorsal striatum to mediate a range of biological rhythms including photoentrainment, activity cycles, rest phase eating of palatable food, diet-induced obesity, and food anticipatory activity. Enthusiasm for causal roles for dopamine in the regulation of circadian rhythms, particularly those associated with food and other rewarding events, is warranted. However, determining that there is rhythmic gene expression in dopamine neurons and target structures does not mean that they are bona fide circadian pacemakers. Given that dopamine has such a profound role in promoting voluntary movements, interpretation of circadian phenotypes associated with locomotor activity must be differentiated at the molecular and behavioral levels. Here we review our current understanding of dopamine signaling in relation to biological rhythms and suggest future experiments that are aimed at teasing apart the roles of dopamine subpopulations and dopamine receptor expressing neurons in causally mediating biological rhythms, particularly in relation to feeding, reward, and activity.
Collapse
Affiliation(s)
- Qijun Tang
- Department of Biology, University of Virginia, Charlottesville, VA, United States
| | - Dina R. Assali
- Department of Biological Sciences, California State Polytechnic University Pomona, Pomona, CA, United States
| | - Ali D. Güler
- Department of Biology, University of Virginia, Charlottesville, VA, United States
- Program in Fundamental Neuroscience, University of Virginia, Charlottesville, VA, United States
- Department of Neuroscience, School of Medicine, University of Virginia, Charlottesville, VA, United States
| | - Andrew D. Steele
- Department of Biological Sciences, California State Polytechnic University Pomona, Pomona, CA, United States
| |
Collapse
|
29
|
Aalaa M, Amini MR, Delavari S, Mohajeri Tehrani MR, Adibi H, Shahbazi S, Shayeganmehr Z, Larijani B, Mehrdad N, Sanjari M. Diabetic foot workshop: A strategy for improving the knowledge of diabetic foot care providers. Diabetes Metab Syndr 2022; 16:102543. [PMID: 35753291 DOI: 10.1016/j.dsx.2022.102543] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2021] [Revised: 06/08/2022] [Accepted: 06/10/2022] [Indexed: 01/13/2023]
Abstract
BACKGROUND AND AIMS Prevention and management of diabetic foot ulcer have essential effects on the quality of life of patients. Accordingly training the care providers can play an essential role in reducing complications foot ulcers and lead to an increase in the effectiveness and efficiency of patient health cares. We conducted a study to survey the impact of the diabetic foot workshop on the knowledge of nurses and physicians about diagnosis and managing diabetic foot. METHODS The present study is a quasi-experimental which compare the knowledge of non-randomized group of nurses and physicians about diabetic foot care. The leaning objectives, agenda, contents and evaluation methods of the diabetic foot care workshop was designed by a multidisciplinary team members in form of 2 days workshop. Each topic of the workshop presented theoretically and practically using educational cases and real patient with diabetic foot ulcer. A valid and reliable questionnaire with 20 Multiple Choice Questions used for the evaluation of workshopin form of the pretest and posttest. RESULTS In this study, 396 registered nurses and physicians participates in the diabetic foot workshop series. The results of this study showed that this increase in the level of knowledge was meaningful after the educational intervention since the mean of the posttest score increased more than 20% comparing with pretest. CONCLUSION The promotion of knowledge of health care providers as shown in the study may almost be due to training by real patient, team-working, and using educational movies for the education of diabetic foot diagnosis, management and rehabilitation.
Collapse
Affiliation(s)
- Maryam Aalaa
- Diabetes Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
| | - Mohammad Reza Amini
- Diabetes Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
| | - Somayeh Delavari
- Center for Educational Research in Medical Sciences (CERMS), Department of Medical Education, School of Medicine, Iran University of Medical Sciences (IUMS), Tehran, Iran.
| | - Mohammad Reza Mohajeri Tehrani
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
| | - Hossein Adibi
- Diabetes Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
| | - Samimeh Shahbazi
- Diabetes Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
| | - Zahra Shayeganmehr
- Diabetes Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
| | - Bagher Larijani
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
| | - Neda Mehrdad
- Elderly Health Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
| | - Mahnaz Sanjari
- Osteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
| |
Collapse
|
30
|
Yalçın T, Oğuz SH, Bayraktar M, Rakıcıoğlu N. Anthropometric measurements and serum TNF-α, IL-6 and adiponectin in type 2 diabetes. Diabetol Int 2022; 13:396-406. [PMID: 35463864 PMCID: PMC8980124 DOI: 10.1007/s13340-021-00553-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Accepted: 10/14/2021] [Indexed: 01/22/2023]
Abstract
Objective To investigate the effect of anthropometric measurements on serum adiponectin and inflammatory markers in Type 2 diabetes mellitus (T2DM). Methods This study was conducted with 46 subjects newly diagnosed with T2DM and 30 healthy volunteers free from pre-existing inflammatory disease, cancer, Type 1 diabetes and using any medications. Demographic, clinical and anthropometric data were collected. The anthropometric measurements and insulin resistance components (fasting plasma glucose (FPG), HbA1c, fasting insulin, HOMA-IR) were analyzed. HOMA-β values were calculated to measure pancreatic beta cell functions. Serum C-reactive protein (CRP), tumor necrosis factor-α (TNF-α) and interleukin-6 (IL-6) levels were measured to determine the presence of inflammation and serum adiponectin levels were assessed. Results Individuals with T2DM showed higher body mass index (BMI), body fat percentage, waist circumference (WC), waist-to-hip ratio and waist-to-height ratio values. Serum cytokine levels were higher but adiponectin levels were lower in diabetic patients. Serum concentrations of CRP were found to be significantly correlated with WC and body fat mass (kg and %); TNF-α was significantly associated with WC and waist-to-hip ratio in individuals with T2DM. Adiponectin was negatively correlated with WC and waist-to-hip ratio in healthy subjects. Conclusions Prevention of obesity and central adiposity is an important factor to prevent elevations in inflammatory cytokine levels in diabetic patients.
Collapse
Affiliation(s)
- Tuba Yalçın
- Department of Nutrition and Dietetics, Faculty of Health Sciences, Izmir Katip Çelebi University, 35620 İzmir, Turkey
| | - Seda Hanife Oğuz
- Department of Endocrinology, Division of Endocrinology and Metabolism, Hacettepe University, 06100 Ankara, Turkey
| | - Miyase Bayraktar
- Department of Endocrinology, Division of Endocrinology and Metabolism, Hacettepe University, 06100 Ankara, Turkey
| | - Neslişah Rakıcıoğlu
- Department of Nutrition and Dietetics, Faculty of Health Sciences, Hacettepe University, 06100 Ankara, Turkey
| |
Collapse
|
31
|
Liang L, Li C, Liu X, Zhou L, Chu S, Zhang R, Mai J, Westbrook A, Li J, Zhang D, Zhao L, Wu Y. Lifelong smoking status, weight gain, and subsequent risk of major adverse cardiovascular events: Long-term follow-up of a middle-aged Chinese population. Obesity (Silver Spring) 2022; 30:762-769. [PMID: 35146944 DOI: 10.1002/oby.23375] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2021] [Revised: 11/18/2021] [Accepted: 12/12/2021] [Indexed: 11/09/2022]
Abstract
OBJECTIVE The aim of this study was to explore the association of lifelong smoking status with risk of major adverse cardiovascular events (MACE) accounting for weight change in a Chinese cohort. METHODS The cohort of the People's Republic of China-United States of America (PRC-USA) Collaborative Study of Cardiovascular and Cardiopulmonary Epidemiology was established in 1983 to 1984, resurveyed during 1987 to 1988 and 1993 to 1994, and followed up to 2005. A total of 5,849 participants who survived in 1993 to 1994 were classified into never smokers, long-term quitters, short-term quitters, short-term relapsers and new smokers, long-term relapsers and new smokers, and persistent smokers according to the information on lifelong smoking status collected in all three surveys. The associations of lifelong smoking status with MACE in the subsequent 10 years were explored with Cox proportional hazards models. RESULTS During a median follow-up of 10.2 years, 694 participants had MACE. Compared with persistent smokers, the multivariable-adjusted hazard ratio of developing MACE was 0.83 (95% CI: 0.61-1.12) for short-term quitters, 0.75 (95% CI: 0.54-1.02) for long-term quitters, and 0.68 (95% CI: 0.54-0.85) for never smokers (ptrend = 0.001). In comparison, the hazard ratio was 1.03 (95% CI: 0.77-1.35) for long-term relapsers and new smokers and 0.78 (95% CI: 0.46-1.22) for short-term relapsers and new smokers (ptrend = 0.018). These associations were not significantly altered by further adjusting for weight change in the past 10 years. CONCLUSIONS Lifelong smoking status is significantly associated with risk of MACE. As time duration increased, health benefit to quitters would become close to that of never smokers, and harms to relapsers and new smokers would become close to that of persistent smokers.
Collapse
Affiliation(s)
- Lirong Liang
- Department of Clinical Epidemiology & Tobacco Dependence Treatment Research, Beijing Institute of Respiratory Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Changwei Li
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana, USA
| | - Xiaoqing Liu
- Department of Epidemiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of South China Structural Heart Disease, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Long Zhou
- Department of Cardiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Shuilian Chu
- Department of Clinical Epidemiology & Tobacco Dependence Treatment Research, Beijing Institute of Respiratory Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Ruiyuan Zhang
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana, USA
| | - Jinzhuang Mai
- Department of Epidemiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of South China Structural Heart Disease, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Adrianna Westbrook
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana, USA
| | - Jiachen Li
- Department of Clinical Epidemiology & Tobacco Dependence Treatment Research, Beijing Institute of Respiratory Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Di Zhang
- Department of Clinical Epidemiology & Tobacco Dependence Treatment Research, Beijing Institute of Respiratory Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Liancheng Zhao
- Division of Prevention and Community Health, National Center for Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yangfeng Wu
- Peking University Clinical Research Institute, Beijing, China
- Peking University School of Public Health, Beijing, China
- The Ministry of Education Key Laboratory in Cardiovascular Disease Molecular Biology Research, Peking University Health Science Center, Beijing, China
| |
Collapse
|
32
|
Yu HJ, Ho M, Liu X, Yang J, Chau PH, Fong DYT. Association of weight status and the risks of diabetes in adults: a systematic review and meta-analysis of prospective cohort studies. Int J Obes (Lond) 2022; 46:1101-1113. [PMID: 35197569 DOI: 10.1038/s41366-022-01096-1] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Revised: 02/04/2022] [Accepted: 02/07/2022] [Indexed: 12/30/2022]
Abstract
Obesity is a known risk factor for type 2 diabetes mellitus (T2DM); however, the associations between underweight and T2DM and between weight status and prediabetes have not been systematically reviewed. We aimed to estimate the relative risks (RRs) of prediabetes/T2DM in underweight/overweight/obesity relative to normal weight. PubMed, Embase, Web of Science, and Cochrane Library were searched from inception to December 8, 2021. Prospective cohort studies with a minimum 12-month follow-up period reporting the association between baseline body mass index (BMI) categories and risk of prediabetes/T2DM in adults were included. Study quality was assessed using the Newcastle-Ottawa Scale. The main analyses of T2DM risk were performed using the ethnic-specific (Asian/non-Asian) BMI classification and additional analyses of prediabetes/T2DM risk by including all eligible studies. Random-effects models with inverse variance weighting were used. Subgroup analyses and meta-regression were conducted to explore the potential effects of pre-specified modifiers. The study protocol was registered with PROSPERO (CRD42020215957). Eighty-four articles involving over 2.69 million participants from 20 countries were included. The pooled RR of prediabetes risk was 1.24 (95% CI: 1.19-1.28, I2 = 9.7%, n = 5 studies) for overweight/obesity vs. normal weight. The pooled RRs of T2DM based on the ethnic-specific BMI categories were 0.93 (95% CI: 0.75-1.15, I2 = 55.5%, n = 12) for underweight, 2.24 (95% CI: 1.95-2.56, I2 = 92.0%, n = 47) for overweight, 4.56 (95% CI: 3.69-5.64, I2 = 96%, n = 43) for obesity, and 22.97 (95% CI: 13.58-38.86, I2 = 92.1%, n = 6) for severe obesity vs. normal weight. Subgroup analyses indicated that underweight is a protective factor against T2DM in non-Asians (RR = 0.68, 95% CI: 0.40-0.99, I2 = 56.1%, n = 6). The magnitude of the RR of T2DM in overweight/obesity decreased with age and varied by region and the assessment methods for weight and T2DM. Overweight/obesity was associated with an increased prediabetes/T2DM risk. Further studies are required to confirm the association between underweight and prediabetes/T2DM, particularly in Asian populations.
Collapse
Affiliation(s)
- Hong-Jie Yu
- School of Nursing, the University of Hong Kong, Hong Kong, SAR, China
| | - Mandy Ho
- School of Nursing, the University of Hong Kong, Hong Kong, SAR, China.
| | | | - Jundi Yang
- School of Nursing, the University of Hong Kong, Hong Kong, SAR, China
| | - Pui Hing Chau
- School of Nursing, the University of Hong Kong, Hong Kong, SAR, China
| | | |
Collapse
|
33
|
Xu M, Qi Y, Chen G, Qin Y, Wu S, Wang T, Zhao Z, Xu Y, Li M, Chen L, Chen L, Chen Y, Deng H, Gao Z, Huo Y, Li Q, Liu C, Luo Z, Mu Y, Qin G, Shen F, Shi L, Su Q, Wan Q, Wang G, Wang S, Wang Y, Hu R, Xu Y, Yan L, Yang T, Yu X, Zhang Y, Zeng T, Tang X, Ye Z, Zhao J, Bi Y, Ning G, Lu J, Wang W. The Relative Body Weight Gain From Early to Middle Life Adulthood Associated With Later Life Risk of Diabetes: A Nationwide Cohort Study. Front Endocrinol (Lausanne) 2022; 13:927067. [PMID: 35928888 PMCID: PMC9343618 DOI: 10.3389/fendo.2022.927067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2022] [Accepted: 06/15/2022] [Indexed: 11/13/2022] Open
Abstract
AIM To determine the effect of decade-based body weight gain from 20 to 50 years of age on later life diabetes risk. METHODS 35,611 non-diabetic participants aged ≥ 50 years from a well-defined nationwide cohort were followed up for average of 3.6 years, with cardiovascular diseases and cancers at baseline were excluded. Body weight at 20, 30, 40, and 50 years was reported. The overall 30 years and each 10-year weight gain were calculated from the early and middle life. Cox regression models were used to estimate risks of incident diabetes. RESULTS After 127,745.26 person-years of follow-up, 2,789 incident diabetes were identified (incidence rate, 2.18%) in 25,289 women (mean weight gain 20-50 years, 7.60 kg) and 10,322 men (7.93 kg). Each 10-kg weight gain over the 30 years was significantly associated with a 39.7% increased risk of incident diabetes (95% confidence interval [CI], 1.33-1.47); weight gain from 20-30 years showed a more prominent effect on the risk of developing diabetes before 60 years than that of after 60 years (Hazard ratio, HR = 1.084, 95% CI [1.049-1.121], P <0.0001 vs. 1.015 [0.975-1.056], P = 0.4643; PInteraction=0.0293). It showed a stable effect of the three 10-year intervals weight gain on risk of diabetes after 60 years (HR=1.055, 1.038, 1.043, respectively, all P < 0.0036). CONCLUSIONS The early life weight gain showed a more prominent effect on developing diabetes before 60 years than after 60 years; however, each-decade weight gain from 20 to 50 years showed a similar effect on risk developing diabetes after 60 years.
Collapse
Affiliation(s)
- Min Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yan Qi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Gang Chen
- Department of Endocrinology, Fujian Provincial Hospital, Fujian Medical University, Fuzhou, China
| | - Yingfen Qin
- Department of Endocrinology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Shengli Wu
- Department of Endocrinology, Karamay Municipal People’s Hospital, Xinjiang, China
| | - Tiange Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhiyun Zhao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yu Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Mian Li
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Li Chen
- Department of Endocrinology, Qilu Hospital of Shandong University, Jinan, China
| | - Lulu Chen
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yuhong Chen
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Huacong Deng
- Department of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Zhengnan Gao
- Department of Endocrinology, Dalian Municipal Central Hospital, Dalian, China
| | - Yanan Huo
- Department of Endocrinology, Jiangxi Provincial People’s Hospital Affiliated to Nanchang University, Nanchang, China
| | - Qiang Li
- Department of Endocrinology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Chao Liu
- Department of Endocrinology, Jiangsu Province Hospital on Integration of Chinese and Western Medicine, Nanjing, China
| | - Zuojie Luo
- Department of Endocrinology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Yiming Mu
- Department of Endocrinology, Chinese People’s Liberation Army General Hospital, Beijing, China
| | - Guijun Qin
- Department of Endocrinology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Feixia Shen
- Department of Endocrinology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Lixin Shi
- Department of Endocrinology, Affiliated Hospital of Guiyang Medical College, Guiyang, China
| | - Qing Su
- Department of Endocrinology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University, School of Medicine, Shanghai, China
| | - Qin Wan
- Department of Endocrinology, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Guixia Wang
- Department of Endocrinology, The First Hospital of Jilin University, Changchun, China
| | - Shuangyuan Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Youmin Wang
- Department of Endocrinology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Ruying Hu
- Institute of Chronic Diseases, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Yiping Xu
- Clinical Trials Center, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Li Yan
- Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Tao Yang
- Department of Endocrinology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Xuefeng Yu
- Department of Endocrinology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yinfei Zhang
- Department of Endocrinology, Central Hospital of Shanghai Jiading District, Shanghai, China
| | - Tianshu Zeng
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xulei Tang
- Department of Endocrinology, The First Hospital of Lanzhou University, Lanzhou, China
| | - Zhen Ye
- Institute of Chronic Diseases, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Jiajun Zhao
- Department of Endocrinology, Shandong Provincial Hospital, Jinan, China
| | - Yufang Bi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Guang Ning
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- *Correspondence: Weiqing Wang, ; Jieli Lu, ; Guang Ning,
| | - Jieli Lu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- *Correspondence: Weiqing Wang, ; Jieli Lu, ; Guang Ning,
| | - Weiqing Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- *Correspondence: Weiqing Wang, ; Jieli Lu, ; Guang Ning,
| |
Collapse
|
34
|
Verkouter I, Noordam R, Loh NY, van Dijk KW, Zock PL, Mook-Kanamori DO, le Cessie S, Rosendaal FR, Karpe F, Christodoulides C, de Mutsert R. The Relation Between Adult Weight Gain, Adipocyte Volume, and the Metabolic Profile at Middle Age. J Clin Endocrinol Metab 2021; 106:e4438-e4447. [PMID: 34181708 PMCID: PMC8530710 DOI: 10.1210/clinem/dgab477] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Indexed: 12/02/2022]
Abstract
CONTEXT Weight gain during adulthood increases cardiometabolic disease risk, possibly through adipocyte hypertrophy. OBJECTIVE We aimed to study the specific metabolomic profile of adult weight gain, and to examine its association with adipocyte volume. METHODS Nuclear magnetic resonance-based metabolomics were measured in the Netherlands Epidemiology of Obesity (NEO) study (n = 6347, discovery) and Oxford Biobank (n = 6317, replication). Adult weight gain was calculated as the absolute difference between body mass index (BMI) at middle age and recalled BMI at age 20 years. We performed linear regression analyses with both exposures BMI at age 20 years and weight gain, and separately with BMI at middle age in relation to 149 serum metabolomic measures, adjusted for age, sex, and multiple testing. Additionally, subcutaneous abdominal adipocyte biopsies were collected in a subset of the Oxford Biobank (n = 114) to estimate adipocyte volume. RESULTS Mean (SD) weight gain was 4.5 (3.7) kg/m2 in the NEO study and 3.6 (3.7) kg/m2 in the Oxford Biobank. Weight gain, and not BMI at age 20 nor middle age, was associated with concentrations of 7 metabolomic measures after successful replication, which included polyunsaturated fatty acids, small to medium low-density lipoproteins, and total intermediate-density lipoprotein. One SD weight gain was associated with 386 μm3 (95% CI, 143-629) higher median adipocyte volume. Adipocyte volume was associated with lipoprotein particles specific for adult weight gain. CONCLUSION Adult weight gain is associated with specific metabolomic alterations of which the higher lipoprotein concentrations were likely contributed by larger adipocyte volumes, presumably linking weight gain to cardiometabolic disease.
Collapse
Affiliation(s)
- Inge Verkouter
- Department of Clinical Epidemiology, Leiden University Medical Center, 2300RC Leiden, the Netherlands
| | - Raymond Noordam
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, 2300 RC Leiden, the Netherlands
| | - Nellie Y Loh
- Radcliffe Department of Medicine, Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, OX3 7LE, UK
| | - Ko Willems van Dijk
- Department of Human Genetics, Leiden University Medical Center, 2300RC Leiden, the Netherlands
- Department of Internal Medicine, Division of Endocrinology, Leiden University Medical Center, 2300RC Leiden, the Netherlands
| | - Peter L Zock
- Department of Human Nutrition and Health, Wageningen University, Wageningen, the Netherlands
| | - Dennis O Mook-Kanamori
- Department of Clinical Epidemiology, Leiden University Medical Center, 2300RC Leiden, the Netherlands
| | - Saskia le Cessie
- Department of Clinical Epidemiology, Leiden University Medical Center, 2300RC Leiden, the Netherlands
- Department of Biomedical Data Sciences, Leiden University Medical Center, 2300RC Leiden, the Netherlands
| | - Frits R Rosendaal
- Department of Clinical Epidemiology, Leiden University Medical Center, 2300RC Leiden, the Netherlands
| | - Fredrik Karpe
- Radcliffe Department of Medicine, Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, OX3 7LE, UK
- National Institute for Health Research, Oxford Biomedical Research Centre, Oxford, OX4 2PG, UK
- Oxford University Hospitals Foundation Trust, Oxford, OX4 4XN, UK
| | - Costantinos Christodoulides
- Radcliffe Department of Medicine, Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, OX3 7LE, UK
- Oxford University Hospitals Foundation Trust, Oxford, OX4 4XN, UK
| | - Renée de Mutsert
- Department of Clinical Epidemiology, Leiden University Medical Center, 2300RC Leiden, the Netherlands
| |
Collapse
|
35
|
Ducraux P, Waeber G, Marques-Vidal P. Do Weight trajectories influence diabetes control? A prospective study in Switzerland (CoLaus study). Prev Med Rep 2021; 23:101473. [PMID: 34258179 PMCID: PMC8259406 DOI: 10.1016/j.pmedr.2021.101473] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Revised: 04/13/2021] [Accepted: 06/23/2021] [Indexed: 01/01/2023] Open
Abstract
OBJECTIVE Identify anthropometric trajectories among subjects with type 2 diabetes mellitus (T2DM), and associate them with glycaemic control. METHODS Prospective study including 268 community-dwelling participants with T2DM (34% women, mean age 68.7 ± 8.9 years) followed for 10.7 years (range: 8.8-13.6 years). T2DM control was considered for 1) fasting plasma glucose (FPG) < 7.0 mmol/L, or 2) HbA1c < 7.0% (53 nmol/mol). Changes in weight or waist and weight variability were considered. RESULTS One half (FPG) and one third (HbA1c) of participants presented with uncontrolled T2DM. Half of the participants presented with obesity and 75% with abdominal obesity. During follow-up, half of the participants maintained their weight, 25% gained > 5 kg, and 25% lost < 5 kg; almost half increased their waist by > 5 cm. Using FPG as criterion, participants who lost > 5 cm waist were more likely to be controlled: multivariable-adjusted odds ratio (OR) and 95% confidence interval (CI): 3.10 (1.23-7.78). Participants with controlled T2DM also presented with a higher weight variability: multivariable adjusted mean ± standard error 4.8 ± 0.3 vs. 3.9 ± 0.3 kg, p = 0.028. Using HbA1c as criterion, participants who lost > 5 kg were less likely to be controlled: OR and (95% CI): 0.35 (0.18-0.66). Similar findings were obtained when restricting the analysis to participants who were diabetic throughout the whole study period. CONCLUSION In a Swiss community-based sample of participants with T2DM, T2DM control rates could be implemented. Neither weight nor waist variability was significantly and consistently associated with T2DM control.
Collapse
Affiliation(s)
- Pauline Ducraux
- Department of Medicine, Internal Medicine, Lausanne University Hospital and University of Lausanne, 46 rue du Bugnon, 1011 Lausanne, Switzerland
| | - Gérard Waeber
- Department of Medicine, Internal Medicine, Lausanne University Hospital and University of Lausanne, 46 rue du Bugnon, 1011 Lausanne, Switzerland
| | - Pedro Marques-Vidal
- Department of Medicine, Internal Medicine, Lausanne University Hospital and University of Lausanne, 46 rue du Bugnon, 1011 Lausanne, Switzerland
| |
Collapse
|
36
|
Cai Z, Wu W, Chen Z, Fang W, Li W, Chen G, Chen Z, Wu S, Chen Y. Long-Term Body Mass Index Variability, Weight Change Slope, and Risk of Cardiovascular Outcomes: 7-Year Prospective Study in Chinese Hypertensive Subjects. Obes Facts 2021; 14:442-449. [PMID: 34461617 PMCID: PMC8546438 DOI: 10.1159/000512317] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2020] [Accepted: 10/14/2020] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND The relationship between long-term body mass index (BMI) variability, weight change slope, and risk of cardiovascular outcomes in Chinese hypertensive patients has not been fully elucidated. METHODS A total of 20,737 patients with hypertension and three BMI measurements between 2006 and 2011 were included. Average real variability (ARV) was used to evaluate variability, and the subjects were divided into three groups: tertile 1 with BMI_ARV ≤0.86; tertile 2 with 0.86 < BMI_ARV ≤ 1.60; and tertile 3 with BMI_ARV >1.60. Cox proportional-hazards models were used to analyze the risk of cardiovascular and cerebrovascular diseases (CVD) in each group. RESULTS There were 1,352 cases of CVD during an average follow-up of 6.62 years. The 7-year cumulative incidence rates of CVD, stroke, and myocardial infarction (MI) in tertile 3 were 7.53, 6.13, and 1.56%, respectively. After adjustment for average BMI, weight change slope, and other traditional risk factors, the hazard ratio (HR) values for CVD, stroke, and MI in the highest tertile were 1.21 (95% CI 1.05-1.39), 1.21 (95% CI 1.04-1.38), and 1.20 (95% CI 0.88-1.62), respectively. Subgroup analysis showed that the HR values for CVD in tertile 3 were 1.71 (95% CI 1.06-2.75) and 0.98 (95% CI 0.61-1.58) in the positive and the negative weight change subjects, respectively. CONCLUSIONS Higher BMI variability was associated with increased risk of CVD in hypertensive subjects with weight gain but not in those with weight loss, independent of traditional cardiovascular risk factors.
Collapse
Affiliation(s)
- Zefeng Cai
- Shantou University Medical College, Shantou, China
| | - Weiqiang Wu
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Zekai Chen
- Shantou University Medical College, Shantou, China
| | - Wei Fang
- Shantou University Medical College, Shantou, China
| | - Weijian Li
- Shantou University Medical College, Shantou, China
| | | | - Zhichao Chen
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Shouling Wu
- Department of Cardiology, Kailuan General Hospital, Tangshan, China
| | - Youren Chen
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, China
| |
Collapse
|
37
|
Longitudinal Associations of Marital, Parenting, and Employment Transitions with Weight Gain in a Multi-Ethnic Asian Population Aged 21 Years and Above. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18158115. [PMID: 34360408 PMCID: PMC8345590 DOI: 10.3390/ijerph18158115] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Revised: 07/24/2021] [Accepted: 07/27/2021] [Indexed: 11/17/2022]
Abstract
Identifying when most weight gain occurs throughout the life course can inform targeted public health interventions. We evaluated the association of childbirth, marriage, and employment changes with weight changes in a multi-ethnic Asian cohort. Singapore Multi-Ethnic Cohort participants ≥21 years (n = 9655) who identified as ethnic Chinese, Malay, or Indian were weighed and interviewed about marital status, employment, and number of children at baseline and after about four years. We used multivariable regression to evaluate life transitions in relation to weight change and major gain (≥5 kg), and adjusted for socio-demographic covariates. Weight gain was 3.55 kg (95% CI 3.17, 3.94) higher in young adults (21-30 years) compared with participants older than 60 years at baseline. Getting married was associated with weight gain in women, but not men (p interaction < 0.01). Women who got married gained 1.63 kg (95% CI 0.88, 2.38) more weight and were more likely to gain ≥5 kg (OR 1.99, 95% CI 1.35, 2.93) than those remaining unmarried. Having children was not associated with weight gain. Only among ethnic Indians, remaining a homemaker was associated with less weight gain than remaining employed. In this multi-ethnic Asian population, obesity prevention efforts should target young adulthood and, in women, the transition into marriage.
Collapse
|
38
|
Willmott TJ, Pang B, Rundle-Thiele S. Capability, opportunity, and motivation: an across contexts empirical examination of the COM-B model. BMC Public Health 2021; 21:1014. [PMID: 34051788 PMCID: PMC8164288 DOI: 10.1186/s12889-021-11019-w] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2020] [Accepted: 05/09/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND There is limited evidence for successful weight gain prevention interventions targeting young adults. Developing effective interventions necessitates a theoretical model that can identify barriers and enablers for healthy eating and physical activity among young adults to support weight management. This study empirically examines the utility of the COM-B model as a framework for intervention planning across two behavioural contexts: eating and physical activity. METHODS A cross-sectional survey research design was employed to empirically test the COM-B model in the contexts of young adult's eating and physical activity behaviours. Informed by the Theoretical Domains Framework, pre-validated measures appropriate for capturing the latency of the COM (Capability, Opportunity, and Motivation) constructs were sourced. Both surveys (eating and physical activity) were administered online to two independent samples of young adults aged 18-35 years. Models were specified and tested using structural equation modelling. RESULTS A total of 582 (mean age = 22.8 years; 80.3% female) and 455 (mean age = 24.9 years; 80.8% female) participants were included in the physical activity and eating analyses, respectively. The COM-B model explained 31% of variance in physical activity behaviour and 23% of variance in eating behaviour. In the physical activity model (N = 582), capability and opportunity were found to be associated with behaviour through the mediating effect of motivation. In the eating model (N = 455), capability was found to be associated with behaviour through the mediating effect of motivation. Capability was also found to mediate the association between opportunity and motivation. Consistencies and variations were observed across both models in terms of COM indicators. CONCLUSIONS Findings support the COM-B model's explanatory potential in the context of young adult's physical activity and eating behaviours. Barriers and enablers underlying young adult's physical activity and eating behaviours were identified that represent potential targets for future intervention design. Further research is needed to validate present study findings across different populations and settings.
Collapse
Affiliation(s)
- Taylor Jade Willmott
- Social Marketing @ Griffith, Griffith University, 170 Kessels Road, Nathan, QLD, 4111, Australia.
| | - Bo Pang
- Social Marketing @ Griffith, Griffith University, 170 Kessels Road, Nathan, QLD, 4111, Australia
| | - Sharyn Rundle-Thiele
- Social Marketing @ Griffith, Griffith University, 170 Kessels Road, Nathan, QLD, 4111, Australia
| |
Collapse
|
39
|
Zhu Y, Zheng R, Hu C, Qin G, Wang B, Wang T, Yu X, Tang X, Hu R, Su Q, Zhang J, Zhang Y, Zhao Z, Xu Y, Li M, Chen Y, Wang S, Shi L, Wan Q, Chen G, Dai M, Zhang D, Gao Z, Wang G, Shen F, Luo Z, Qin Y, Chen L, Huo Y, Li Q, Ye Z, Zhang Y, Liu C, Wang Y, Wu S, Yang T, Deng H, Chen L, Zhao J, Mu Y, Yan L, Wang W, Ning G, Bi Y, Lu J, Xu M. Association of early adulthood weight and subsequent weight change with cardiovascular diseases: Findings from REACTION study. Int J Cardiol 2021; 332:209-215. [PMID: 33667580 DOI: 10.1016/j.ijcard.2021.02.086] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Revised: 02/07/2021] [Accepted: 02/26/2021] [Indexed: 02/06/2023]
Abstract
BACKGROUND Excessive adiposity in adulthood is positively associated with the risk of cardiovascular disease (CVD). However, it is less studied how the risk is separately explained by early adulthood weight and later weight change, especially in Asian ancestries. METHODS This study included 121160 participants in a large population-based cohort in China. Body weight at 20 and 40 years of age wase self-reported. Information on CVD history was obtained through standard questionnaires. RESULTS The odds ratios (ORs) were 1.20 (95% CI, 1.10-1.31) for coronary heart disease (CHD), 1.74 (95% CI, 1.36-2.22) for myocardial infarction (MI), 1.14 (95% CI, 0.99-1.32) for stroke and 1.21 (95% CI, 1.12-1.31) for total CVD among individuals with early overweight, and became more prominent for early obesity. Meanwhile, A moderate weight gain of 2.5 kg between early adulthood and midlife significantly increased the risk of CHD (OR: 1.18, 95% CI: 1.05-1.32), stroke (OR: 1.19, 95% CI: 1.03-1.38) and total CVD (OR: 1.15, 95% CI: 1.04-1.27), and the risk escalated with higher amounts of weight gain. Conversely, a weight loss of 2.5 kg conferred lower risk of CVD compared with a stable weight. In further cross-analysis, participants with early adulthood overweight or obesity and significant weight gain afterwards exhibited the greatest risk of CVD. CONCLUSIONS High early adulthood BMI and subsequent weight gain had both independent and combined effect on the risk of CVD after midlife. Therefore, weight management should start before early adulthood, and emphasized throughout adulthood for CVD prevention.
Collapse
Affiliation(s)
- Yuanyue Zhu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; 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 National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ruizhi Zheng
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; 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 National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chunyan Hu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; 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 National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Guijun Qin
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Bin Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; 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 National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tiange Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; 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 National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xuefeng Yu
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xulei Tang
- The First Hospital of Lanzhou University, Lanzhou, China
| | - Ruying Hu
- Zhejiang Provincial Center for Disease Control and Prevention, China
| | - Qing Su
- Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Jie Zhang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; 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 National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yi Zhang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; 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 National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhiyun Zhao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; 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 National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yu Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; 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 National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Mian Li
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; 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 National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuhong Chen
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; 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 National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shuangyuan Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; 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 National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lixin Shi
- Affiliated Hospital of Guiyang Medical College, Guiyang, China
| | - Qin Wan
- The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Gang Chen
- Fujian Provincial Hospital, Fujian Medical University, Fuzhou, China
| | - Meng Dai
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; 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 National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Di Zhang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; 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 National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhengnan Gao
- Dalian Municipal Central Hospital, Dalian, China
| | - Guixia Wang
- The First Hospital of Jilin University, Changchun, China
| | - Feixia Shen
- The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Zuojie Luo
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Yingfen Qin
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Li Chen
- Qilu Hospital of Shandong University, Jinan, China
| | - Yanan Huo
- Jiangxi Provincial People's Hospital, Nanchang University, Nanchang, China
| | - Qiang Li
- The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Zhen Ye
- Zhejiang Provincial Center for Disease Control and Prevention, China
| | - Yinfei Zhang
- Central Hospital of Shanghai Jiading District, Shanghai, China
| | - Chao Liu
- Jiangsu Province Hospital on Integration of Chinese and Western Medicine, Nanjing, China
| | - Youmin Wang
- The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Shengli Wu
- Karamay Municipal People's Hospital, Xinjiang, China
| | - Tao Yang
- The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Huacong Deng
- The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Lulu Chen
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jiajun Zhao
- Shandong Provincial Hospital, Shandong University, Jinan, China
| | - Yiming Mu
- Chinese People's Liberation Army General Hospital, Beijing, China
| | - Li Yan
- Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Weiqing Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; 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 National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Guang Ning
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; 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 National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yufang Bi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; 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 National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Jieli Lu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; 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 National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Min Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; 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 National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| |
Collapse
|
40
|
Liu M, Zhang Z, Zhou C, He P, Zhang Y, Li H, Li Q, Liu C, Wang B, Li J, Zhang Y, Xu X, Wang X, Xu X, Huo Y, Hou FF, Qin X. Relationship of Weight Change Patterns From Young to Middle Adulthood With Incident Cardiovascular Diseases. J Clin Endocrinol Metab 2021; 106:e812-e823. [PMID: 33180946 DOI: 10.1210/clinem/dgaa823] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Indexed: 11/19/2022]
Abstract
CONTEXT The effect of weight change patterns on cardiovascular diseases (CVD) remains uncertain. OBJECTIVE We aim to examine the relation of weight change patterns and absolute weight change from young adulthood to midlife with incident CVD. DESIGN Retrospective cohort study. SETTING National Health and Nutrition Examination Survey 1999-2016. PARTICIPANTS A total of 20 715 US adults aged 40 through 79 with recalled weight at young adulthood (25 years) and midlife (10 years before baseline). MAIN OUTCOME MEASURE CVD status was determined by self-report of a prior diagnosis, and age at diagnosis was used to establish time of CVD onset. CVD events was defined as the first occurrence of a congestive heart failure, coronary heart disease, angina pectoris, heart attack, or stroke. RESULTS After 9.76 years of follow-up, compared with participants who remained at normal weight, those in maximum overweight, changing from nonobese to obese, changing from obese to nonobese, maintaining obesity between young and middle adulthood had a 39% (hazard ratio [HR], 1.39; 95% confidence interval [CI], 1.19-1.62), 93% (HR, 1.93; 95% CI, 1.64-2.28), 125% (HR, 2.25; 95% CI, 1.29-3.94), and 132% (HR, 2.32; 95% CI, 1.68-3.20) higher risk of CVD, respectively. In addition, compared with weight change within 2.5 kg, weight gain ≥ 10.0 kg was associated with higher risk of CVD. CONCLUSIONS Both nonobese to obese, obese to nonobese, and stable obese from young to middle adulthood were associated with increased risks of CVD. The findings emphasize the importance of maintaining normal weight throughout the adulthood for preventing CVD in later life.
Collapse
Affiliation(s)
- Mengyi Liu
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China
| | - Zhuxian Zhang
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China
| | - Chun Zhou
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China
| | - Panpan He
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China
| | - Yuanyuan Zhang
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China
| | - Huan Li
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China
| | - Qinqin Li
- Institute of Biomedicine, Anhui Medical University, Hefei, China
| | - Chengzhang Liu
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China
- Institute of Biomedicine, Anhui Medical University, Hefei, China
| | - Binyan Wang
- Institute of Biomedicine, Anhui Medical University, Hefei, China
| | - Jianping Li
- Department of Cardiology, Peking University First Hospital, Beijing, China
| | - Yan Zhang
- Department of Cardiology, Peking University First Hospital, Beijing, China
| | - Xin Xu
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China
| | - Xiaobin Wang
- Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Xiping Xu
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China
| | - Yong Huo
- Department of Cardiology, Peking University First Hospital, Beijing, China
| | - Fan Fan Hou
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China
| | - Xianhui Qin
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China
| |
Collapse
|
41
|
Cozzolino M, García-Velasco JA, Meseguer M, Pellicer A, Bellver J. Female obesity increases the risk of miscarriage of euploid embryos. Fertil Steril 2020; 115:1495-1502. [PMID: 33267960 DOI: 10.1016/j.fertnstert.2020.09.139] [Citation(s) in RCA: 45] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Revised: 08/07/2020] [Accepted: 09/15/2020] [Indexed: 12/19/2022]
Abstract
OBJECTIVE To determine whether female body mass index (BMI) is associated with an increased risk of miscarriage after euploid embryo transfer. DESIGN A retrospective, observational, multicenter cohort study. SETTING University-affiliated in vitro fertilization center. PATIENT(S) In this study, 3,480 cycles of in vitro fertilization with preimplantation genetic testing for aneuploidy (PGT-A) in the blastocyst stage and euploid embryo transfer were divided into four groups according to patient BMI. INTERVENTION(S) In vitro fertilization with PGT-A. MAIN OUTCOME MEASURE(S) The primary outcome was the miscarriage rate, which included both biochemical and clinical miscarriages. Secondary outcomes were implantation, pregnancy, clinical pregnancy, and live birth rates. RESULT(S) Cycles were divided into four groups according to BMI (kg/m2): underweight (<18.5; n = 155), normal weight (18.5-24.9; n = 2,549), overweight (25-29.9; n = 591), and obese (≥30; n = 185). The number of PGT-A cycles per patient was similar in the four groups. Fertilization rate, day of embryo biopsy, technique of chromosomal analysis, number of euploid embryos, number of transferred embryos, and method of endometrial preparation for embryo transfer were similar in the four BMI groups. Miscarriage rates were significantly higher in women with obesity compared to women with normal weight, mainly due to a significant increase in the clinical miscarriage rates. Live birth rates also were lower in women with obesity. Obesity in women and day 6 trophectoderm biopsy were found to influence the reduced live birth rate. CONCLUSION(S) Women with obesity experience a higher rate of miscarriage after euploid embryo transfer than women with a normal weight, suggesting that other mechanisms than aneuploidy are responsible for this outcome.
Collapse
Affiliation(s)
- Mauro Cozzolino
- IVI-RMA, IVI Foundation, Valencia, Spain; Department of Obstetrics, Gynecology and Reproductive Sciences, Yale School of Medicine, New Haven, Connecticut; Rey Juan Carlos University, Madrid, Spain.
| | | | - Marcos Meseguer
- IVI-RMA, IVI Foundation, Valencia, Spain; IVI-RMA Valencia, Valencia, Spain
| | - Antonio Pellicer
- IVI-RMA, IVI Foundation, Valencia, Spain; IVI-RMA Roma, Rome, Italy; Department of Pediatrics, Obstetrics and Gynecology, Faculty of Medicine, University of Valencia, Valencia, Spain
| | - Jose Bellver
- IVI-RMA, IVI Foundation, Valencia, Spain; IVI-RMA Valencia, Valencia, Spain; Department of Pediatrics, Obstetrics and Gynecology, Faculty of Medicine, University of Valencia, Valencia, Spain
| |
Collapse
|
42
|
Ford ND, Martorell R, Mehta NK, Perrine CG, Ramirez-Zea M, Stein AD. Lifecourse body mass index trajectories and cardio-metabolic disease risk in Guatemalan adults. PLoS One 2020; 15:e0240904. [PMID: 33091024 PMCID: PMC7580923 DOI: 10.1371/journal.pone.0240904] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Accepted: 10/01/2020] [Indexed: 11/22/2022] Open
Abstract
Little is known about body size over the life-course and non-communicable disease risk in low- and middle-income country populations. Our study explored the role of body mass index (BMI) trajectories from infancy through mid-adulthood on cardio-metabolic disease (CMD) risk factors in a prospective cohort of Guatemalan adults. Study participants were born in Guatemala from 1962-77 and have been followed prospectively since participating in a nutrition supplementation trial as children. Sex-specific BMI latent class trajectories were derived using latent class growth modeling from up to 22 possible BMI values from age 1 month to 42 years measured between 1969 and 2004. CMD risk factors were assessed in 2015-17 (at age 37-54 years) using anthropometry, blood glucose and lipids, and blood pressure. We used logistic regression to assess the role of BMI trajectory on CMD risk factors in 510 women and 346 men (N = 856). We identified two BMI latent classes for women (low [n = 287, 56.3%] and high [n = 223, 43.7%]) and three classes for men (low [n = 141, 40.8%], medium [n = 160, 46.2%], and high [n = 45, 13.0%]). Given the small percentage of men in the high BMI latent class, we collapsed the medium and high BMI latent classes for men (n = 205, 59.1%). Among the most prevalent CMD risk factors at ages 37-54 years were abdominal obesity defined by waist-height ratio (99.6% of women and 87.3% of men), obesity defined by percent body fat (96.6% of women and 75.9% of men), low HDL-c (87.5% of women and 74.5% of men), and elevated triglycerides (78.3% of women and 73.6% of men). Except for obesity defined by BMI, we found no associations between BMI latent class and CMD risk factors in women. Among men, BMI latent class was not associated with CMD risk factors after controlling for current BMI. For the CMD risk factors we analyzed, the role of early life BMI on adult CMD appeared to be mediated by adult BMI among men-highlighting the need to establish and maintain healthy body weight over the life course.
Collapse
Affiliation(s)
- Nicole D. Ford
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, United States of America
| | - Reynaldo Martorell
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, United States of America
| | - Neil K. Mehta
- Department of Health Management and Policy, School of Public Health, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Cria G. Perrine
- Division of Nutrition, Physical Activity, and Obesity, U.S. Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Manuel Ramirez-Zea
- INCAP Research Center for the Prevention of Chronic Diseases (CIIPEC), Institute of Nutrition of Central America and Panama, Guatemala City, Guatemala
| | - Aryeh D. Stein
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, United States of America
| |
Collapse
|
43
|
Lifestyle Changes and Weight Gain: A 2-Year Follow-up Study of Japanese Workers. J Occup Environ Med 2020; 62:e318-e327. [PMID: 32730035 DOI: 10.1097/jom.0000000000001888] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
OBJECTIVE To examine age-dependent trends in weight and lifestyle changes in Japanese workers. METHODS Using annual health examination data, 60,143 eligible Japanese workers aged 20 to 59 years were examined for their 2-year changes in weight and smoking, eating, exercise, drinking, and sleep habits. RESULTS Young male workers aged 20 to 24 years showed the greatest weight gain and the highest incidence of unhealthy lifestyle habits. Multivariate analyses indicated that quitting "exercise less than two times/week," "walking less than 60 min/d," and "smoking everyday" contributed to weight gain to a considerable extent except in young female workers aged 20 to 24 years. CONCLUSIONS Greater weight gain associated with unhealthy lifestyle changes tended to occur in early rather than middle-to-old adulthood. It is important to deliver health promotion programs targeting young male workers.
Collapse
|
44
|
Twig G, Zucker I, Afek A, Cukierman-Yaffe T, Bendor CD, Derazne E, Lutski M, Shohat T, Mosenzon O, Tzur D, Pinhas-Hamiel O, Tiosano S, Raz I, Gerstein HC, Tirosh A. Adolescent Obesity and Early-Onset Type 2 Diabetes. Diabetes Care 2020; 43:1487-1495. [PMID: 32321731 DOI: 10.2337/dc19-1988] [Citation(s) in RCA: 91] [Impact Index Per Article: 22.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2019] [Accepted: 04/01/2020] [Indexed: 02/05/2023]
Abstract
OBJECTIVE Type 2 diabetes (T2D) is increasingly diagnosed at younger ages. We investigated the association of adolescent obesity with incident T2D at early adulthood. RESEARCH DESIGN AND METHODS A nationwide, population-based study evaluated 1,462,362 adolescents (59% men, mean age 17.4 years) during 1996-2016. Data were linked to the Israeli National Diabetes Registry. Weight and height were measured at study entry. Cox proportional models were applied. RESULTS During 15,810,751 person-years, 2,177 people (69% men) developed T2D (mean age at diagnosis 27 years). There was an interaction among BMI, sex, and incident T2D (P interaction = 0.023). In a model adjusted for sociodemographic variables, the hazard ratios for diabetes diagnosis were 1.7 (95% CI 1.4-2.0), 2.8 (2.3-3.5), 5.8 (4.9-6.9), 13.4 (11.5-15.7), and 25.8 (21.0-31.6) among men in the 50th-74th percentile, 75th-84th percentile, overweight, mild obesity, and severe obesity groups, respectively, and 2.2 (1.6-2.9), 3.4 (2.5-4.6), 10.6 (8.3-13.6), 21.1 (16.0-27.8), and 44.7 (32.4-61.5), respectively, in women. An inverse graded relationship was observed between baseline BMI and mean age of T2D diagnosis: 27.8 and 25.9 years among men and women with severe obesity, respectively, and 29.5 and 28.5 years among low-normal BMI (5th-49th percentile; reference), respectively. The projected fractions of adult-onset T2D that were attributed to high BMI (≥85th percentile) at adolescence were 56.9% (53.8-59.9%) and 61.1% (56.8-65.2%) in men and women, respectively. CONCLUSIONS Severe obesity significantly increases the risk for incidence of T2D in early adulthood in both sexes. The rise in adolescent severe obesity is likely to increase diabetes incidence in young adults in coming decades.
Collapse
Affiliation(s)
- Gilad Twig
- Department of Military Medicine, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel, and the Israel Defense Forces Medical Corps, Tel Hashomer, Ramat Gan, Israel
| | - Inbar Zucker
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,The Israel Center for Disease Control, Ministry of Health, Tel Hashomer, Ramat Gan, Israel
| | - Arnon Afek
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Central Management, Sheba Medical Center, Tel Hashomer, Ramat Gan, Israel
| | - Tali Cukierman-Yaffe
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Division of Endocrinology, Diabetes and Metabolism, Sheba Medical Center, Tel Hashomer, Ramat Gan, Israel
| | - Cole D Bendor
- Department of Military Medicine, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel, and the Israel Defense Forces Medical Corps, Tel Hashomer, Ramat Gan, Israel
| | - Estela Derazne
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Miri Lutski
- The Israel Center for Disease Control, Ministry of Health, Tel Hashomer, Ramat Gan, Israel
| | - Tammy Shohat
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Ofri Mosenzon
- The Diabetes Unit, Department of Internal Medicine, Hadassah Hebrew University Hospital, Jerusalem, Israel
| | - Dorit Tzur
- Department of Military Medicine, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel, and the Israel Defense Forces Medical Corps, Tel Hashomer, Ramat Gan, Israel
| | - Orit Pinhas-Hamiel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Pediatric Endocrine and Diabetes Unit, Edmond and Lily Safra Children's Hospital, Sheba Medical Center, Tel Hashomer, Ramat Gan, Israel
| | - Shmuel Tiosano
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Department of Medicine, Sheba Medical Center, Tel Hashomer, Ramat Gan, Israel
| | - Itamar Raz
- The Diabetes Unit, Department of Internal Medicine, Hadassah Hebrew University Hospital, Jerusalem, Israel
| | | | - Amir Tirosh
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Division of Endocrinology, Diabetes and Metabolism, Sheba Medical Center, Tel Hashomer, Ramat Gan, Israel
| |
Collapse
|
45
|
Bendor CD, Bardugo A, Pinhas-Hamiel O, Afek A, Twig G. Cardiovascular morbidity, diabetes and cancer risk among children and adolescents with severe obesity. Cardiovasc Diabetol 2020; 19:79. [PMID: 32534575 PMCID: PMC7293793 DOI: 10.1186/s12933-020-01052-1] [Citation(s) in RCA: 132] [Impact Index Per Article: 33.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Accepted: 06/08/2020] [Indexed: 02/08/2023] Open
Abstract
Severe obesity among children and adolescents is a significant global public health concern. The prevalence has markedly increased over the last decades, becoming common in many countries. Overwhelming rates of obesity among youth have prompted efforts to identify an evidence-based immediate- and long-term cardiometabolic risk factor profile in childhood-onset severe obesity, and to highlight gaps that require further investigation. The PubMed database was systematically searched in accordance with PRISMA guidelines. The search yielded 831 results, of which 60 fulfilled stringent criteria and were summarized in this review. The definition of severe obesity was variable, with only one half the publications using the definition BMI > 120% of the 95th percentile. Point estimates of the prevalence of at least one cardiometabolic risk factor in children with severe obesity reportedly range from 67 to 86%. Cross-sectional studies indicate that children and adolescents with severe obesity are at greater risk than those with mild obesity for type 2 diabetes, hypertension, fatty liver disease and dyslipidemia, already at childhood and adolescence. Robust epidemiological data on the long-term risk and actual point estimates in adulthood are lacking for these diseases as well as for other diseases (coronary heart disease, stroke, chronic kidney disease and cancer). Recent longitudinal studies indicate an increased risk for cardiomyopathy, heart failure, cardiovascular mortality and all-cause mortality in adulthood for adolescents with severe obesity compared to those with mild obesity. Given the alarming increase in the prevalence of severe obesity, the persistence of adiposity from childhood to adulthood and the precarious course of young adults with chronic comorbidities, the economic and clinical services burden on the healthcare system is expected to rise.
Collapse
Affiliation(s)
- Cole D Bendor
- Department of Military Medicine, Hebrew University of Jerusalem, Faculty of Medicine, Jerusalem, Israel
- Academy and Research Division, Surgeon General Headquarters, Israel Defense Forces, Medical Corps, Ramat Gan, Israel
| | - Aya Bardugo
- Department of Military Medicine, Hebrew University of Jerusalem, Faculty of Medicine, Jerusalem, Israel
- Academy and Research Division, Surgeon General Headquarters, Israel Defense Forces, Medical Corps, Ramat Gan, Israel
| | - Orit Pinhas-Hamiel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Institute of Endocrinology, Sheba Medical Center, Tel Hashomer, Ramat Gan, Israel
| | - Arnon Afek
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Central Management, Sheba Medical Center, Tel Hashomer, Ramat Gan, Israel
| | - Gilad Twig
- Department of Military Medicine, Hebrew University of Jerusalem, Faculty of Medicine, Jerusalem, Israel.
- Academy and Research Division, Surgeon General Headquarters, Israel Defense Forces, Medical Corps, Ramat Gan, Israel.
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
- Institute of Endocrinology, Sheba Medical Center, Tel Hashomer, Ramat Gan, Israel.
| |
Collapse
|
46
|
Lamichhane AP, Couper D, Jenkins GP, Stevens J. Longitudinal Associations Between Body Mass Index During Young Adulthood, Subsequent Weight Change, and Incident Diabetes During Mid- and Older-Adulthood in Non-Hispanic White and African American Populations: The Atherosclerosis Risk in Communities Study. Metab Syndr Relat Disord 2020; 18:313-320. [PMID: 32522113 DOI: 10.1089/met.2020.0005] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
Background: Excess body mass index (BMI) and weight gain are well-known risk factors for diabetes. Nevertheless, the associations of BMI and weight gain in young adulthood with subsequent diabetes in African Americans, and the standardized effects of these weight variables have not been well studied. Methods: We studied 12,672 white and African American men and women 45-64 years of age (i.e., during mid-adulthood) who participated in the Atherosclerosis Risk in Communities Study visit 1 (1987-1989), and were reexamined at three follow-up examinations. Associations between recalled BMI at age 25 (i.e., during young adulthood) and subsequent weight change with incident diabetes at ages 45 and above (i.e., during mid-adulthood to older adulthood) were examined using Cox proportional hazard models. Results: Over the 9-year follow-up, we identified 1,501 cases of incident diabetes. The incidence rates were higher among African Americans (men: 24.5 and women: 26.3 per 1,000 person-years) compared to whites (men: 16.3 and women: 10.5 per 1,000 person years). Compared to normal-weight individuals at age 25, those who were overweight or obese and those who gained more weight after age 25 had a higher risk of developing diabetes later in all four race-sex groups with the highest risk in African Americans. In the race-sex groups combined, the mutually adjusted hazard ratio for BMI at age 25 and percent weight change were 1.97 (1.79-2.17) and 2.89 (2.59-3.11), respectively, comparing the 85th to the 15th percentiles of the exposures. Conclusions: African Americans were at higher risk of diabetes than whites. Both higher BMI at age 25 and subsequent weight gain were independently associated with higher risk for diabetes in all the race-sex groups; however, overall weight gain was more potent than BMI.
Collapse
Affiliation(s)
- Archana P Lamichhane
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - David Couper
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Gabrielle P Jenkins
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - June Stevens
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.,Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| |
Collapse
|
47
|
Lv J, Fan B, Wei M, Zhou G, Dayimu A, Wu Z, Su C, Zhang T. Trajectories of early to mid-life adulthood BMI and incident diabetes: the China Health and Nutrition Survey. BMJ Open Diabetes Res Care 2020; 8:8/1/e000972. [PMID: 32327441 PMCID: PMC7202728 DOI: 10.1136/bmjdrc-2019-000972] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2019] [Revised: 03/11/2020] [Accepted: 03/24/2020] [Indexed: 12/15/2022] Open
Abstract
INTRODUCTION This longitudinal study aims to characterize distinct body mass index (BMI) trajectories during early to mid-life adulthood and to explore the association between BMI change from young adulthood to midlife and incident diabetes. RESEARCH DESIGN AND METHODS This study included 7289 adults who had repeatedly measured BMI 3-9 times during 1989-2011 and information on incident diabetes. Latent class growth mixed model (LCGMM) was used to identify different BMI trajectories. Cox proportional hazard models were used to investigate the association between the trajectory group membership and incident hyperglycemia, adjusting for covariates. The hyperglycemia group included individuals with prediabetes or diabetes. The model-estimated BMI levels and slopes were calculated at each age point in 1-year intervals according to the model parameters and their first derivatives, respectively. Logistic regression analyses were used to examine the association of model-estimated levels and slopes of BMI at each age point with incident hyperglycemia. The area under the curve (AUC) was computed from longitudinal growth curve models during the follow-up for each individual. Prior to the logistic regression analyses, quartiles of total, baseline, and incremental AUC values were calculated. RESULTS Three distinct trajectories were characterized by LCGMM, comprising of low-increasing group (n=5136), medium-increasing group (n=1914), and high-increasing group (n=239). Compared with the low-increasing group, adjusted HRs and 95% CIs were 1.21 (0.99 to 1.48) and 1.56 (1.06 to 2.30) for the medium-increasing and the high-increasing group, respectively. The adjusted standardized ORs of model-estimated BMI levels increased among 20-50 years, ranging from 0.98 (0.87 to 1.10) to 1.19 (1.08 to 1.32). The standardized ORs of level-adjusted linear slopes increased gradually from 1.30 (1.16 to 1.45) to 1.42 (1.21 to 1.67) during 20-29 years, then decreased from 1.41 (1.20 to 1.66) to 1.20 (1.08 to 1.33) during 30-43 years, and finally increased to 1.20 (1.04 to 1.38) until 50 years. The fourth quartile of incremental AUC (OR=1.31, 95% CI 1.03 to 1.66) was significant compared with the first quartile, after adjustment for covariates. CONCLUSIONS These findings indicate that the BMI trajectories during early adulthood were significantly associated with later-life diabetes. Young adulthood is a crucial period for the development of diabetes, which has implications for early prevention.
Collapse
Affiliation(s)
- Jiali Lv
- Biostatistics, Shandong University, Jinan, China
| | - Bingbing Fan
- Biostatistics, Shandong University, Jinan, China
| | - Mengke Wei
- Biostatistics, Shandong University, Jinan, China
| | | | - Alim Dayimu
- Biostatistics, Shandong University, Jinan, China
| | - Zhenyu Wu
- Biostatistics, Fudan University, Shanghai, China
| | - Chang Su
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Tao Zhang
- Biostatistics, Shandong University, Jinan, China
| |
Collapse
|
48
|
Bohn L, McFall GP, Wiebe SA, Dixon RA. Body mass index predicts cognitive aging trajectories selectively for females: Evidence from the Victoria Longitudinal Study. Neuropsychology 2020; 34:388-403. [PMID: 31999164 DOI: 10.1037/neu0000617] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
OBJECTIVE Elevated body weight in midlife is an established risk factor for accelerated cognitive decline, impairment, and dementia. Research examining the impact of later-life body mass index (BMI) on normal cognitive aging has produced mixed results. There is a need for longitudinal designs, replication across multiple cognitive domains, and consideration of BMI effects in the context of important moderators. The present research examined (a) BMI prediction of neuropsychological performance and decline in executive function (EF), neurocognitive speed, and memory and (b) sex stratification of BMI effects. METHOD Participants (n = 869; 573 females; M age = 71.75, range = 53-85 years) were older adults from the Victoria Longitudinal Study. Latent growth modeling was used to examine BMI as a predictor of level and change in three latent variables of cognition. The data were then stratified by sex to test whether BMI effects differed for females and males. We adjusted for selected medical, psychosocial, and demographic characteristics. RESULTS Higher BMI predicted less decline in EF, neurocognitive speed, and memory. Interestingly, when the data were stratified by sex, higher BMI predicted less neuropsychological decline across domains for females only. BMI was unrelated to cognitive aging trajectories for males. CONCLUSIONS We found that elevated BMI was a risk-reducing factor for cognitive decline only for females. Results may be used to enhance the precision with which intervention protocols may target specific subgroups of older adults. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
Collapse
|
49
|
Chadid S, Kreger BE, Singer MR, Loring Bradlee M, Moore LL. Anthropometric measures of body fat and obesity-related cancer risk: sex-specific differences in Framingham Offspring Study adults. Int J Obes (Lond) 2020; 44:601-608. [PMID: 31974408 PMCID: PMC8744404 DOI: 10.1038/s41366-020-0519-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2018] [Revised: 11/15/2019] [Accepted: 01/03/2020] [Indexed: 12/25/2022]
Abstract
BACKGROUND/OBJECTIVE Obesity has been associated with the risk of developing certain cancers. A limited number of studies have examined effects of various anthropometric measures of body composition on cancer risk. The aim of this study was to estimate the sex-specific effects of various anthropometric measures on risk of obesity-related cancers (ObCa). SUBJECTS/METHODS Data on body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR), and hip circumference (HC) among 3818 45-69-year olds in the Framingham Offspring Study were included. Cox proportional hazards models were used to estimate adjusted risks of 16 obesity-related cancers, with the most common being postmenopausal breast, endometrial, and colon cancers. RESULTS Obesity as measured by BMI in both men and women was a predictor of ObCa; those in the highest quintile (Q5) of BMI (>30.07 in women; >30.80 kg/m2 in men) had more than twice the risk of ObCa (HR = 2.07; 95% CI: 1.06-4.07 (women) and HR = 2.25; 95% CI: 1.08-4.69 (men)). Waist-related measures (WC, WHtR) were stronger predictors of ObCa in men than in women, and HC confounded the relations between waist size and cancer risk. After adjusting for HC, men in Q5 of WC had more than a threefold increased risk of ObCa (HR: = 3.22; 95% CI: 1.39-7.45). Comparable effects in women were weak and non-statistically significant. Results were similar for WHtR. Finally, an inverse J-shaped relation was found between HC and ObCa after adjusting for WC among men but not in women. CONCLUSIONS These results suggest that obesity as measured by BMI is a predictor of obesity-related cancer risk in men and women. They also suggest that waist and hip circumference measures are interrelated and confound the independent effects of each measure. Among men, a large waist size and a small hip size are independent predictors of cancer risk.
Collapse
Affiliation(s)
- Susan Chadid
- Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, Boston, MA, 02118, USA.,Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA
| | - Bernard E Kreger
- General Internal Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA, 02118, USA
| | - Martha R Singer
- Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, Boston, MA, 02118, USA
| | - M Loring Bradlee
- Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, Boston, MA, 02118, USA
| | - Lynn L Moore
- Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, Boston, MA, 02118, USA.
| |
Collapse
|
50
|
Dopamine Signaling in the Suprachiasmatic Nucleus Enables Weight Gain Associated with Hedonic Feeding. Curr Biol 2020; 30:196-208.e8. [PMID: 31902720 DOI: 10.1016/j.cub.2019.11.029] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2019] [Revised: 10/08/2019] [Accepted: 11/07/2019] [Indexed: 12/30/2022]
Abstract
The widespread availability of energy-dense, rewarding foods is correlated with the increased incidence of obesity across the globe. Overeating during mealtimes and unscheduled snacking disrupts timed metabolic processes, which further contribute to weight gain. The neuronal mechanism by which the consumption of energy-dense food restructures the timing of feeding is poorly understood. Here, we demonstrate that dopaminergic signaling within the suprachiasmatic nucleus (SCN), the central circadian pacemaker, disrupts the timing of feeding, resulting in overconsumption of food. D1 dopamine receptor (Drd1)-null mice are resistant to diet-induced obesity, metabolic disease, and circadian disruption associated with energy-dense diets. Conversely, genetic rescue of Drd1 expression within the SCN restores diet-induced overconsumption, weight gain, and obesogenic symptoms. Access to rewarding food increases SCN dopamine turnover, and elevated Drd1-signaling decreases SCN neuronal activity, which we posit disinhibits downstream orexigenic responses. These findings define a connection between the reward and circadian pathways in the regulation of pathological calorie consumption.
Collapse
|