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Analysis of Changes in Weight, Waist Circumference, or Both, and All-Cause Mortality in Chinese Adults.
Yuan, Yu; Liu, Kang; Zheng, Mengyi; Chen, Shuohua; Wang, Hao; Jiang, Qin; Xiao, Yang; Zhou, Lue; Liu, Xuezhen; Yu, Yanqiu; Wu, Jiachen; Ding, Xiong; Yang, Handong; Li, Xiulou; Min, Xinwen; Zhang, Ce; Zhang, Xiaomin; He, Meian; Zheng, Yan; Sun, Dianjianyi; Qi, Lu; Hemler, Elena C; Wu, Shouling; Wu, Tangchun; Pan, An.
Afiliación
  • Yuan Y; Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Liu K; Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Zheng M; School of Public Health, Guangzhou Medical University, Guangzhou, China.
  • Chen S; Graduate School of North China University of Science and Technology, Tangshan, China.
  • Wang H; Health Department of Kailuan Group, Tangshan, China.
  • Jiang Q; Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Xiao Y; Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Zhou L; Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Liu X; Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Yu Y; Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Wu J; Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Ding X; Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Yang H; Graduate School of North China University of Science and Technology, Tangshan, China.
  • Li X; Department of Cardiovascular Diseases, Sinopharm Dongfeng General Hospital, Hubei University of Medicine, Shiyan, China.
  • Min X; Department of Cardiovascular Diseases, Sinopharm Dongfeng General Hospital, Hubei University of Medicine, Shiyan, China.
  • Zhang C; Department of Cardiovascular Diseases, Sinopharm Dongfeng General Hospital, Hubei University of Medicine, Shiyan, China.
  • Zhang X; Department of Cardiovascular Diseases, Sinopharm Dongfeng General Hospital, Hubei University of Medicine, Shiyan, China.
  • He M; Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Zheng Y; Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Sun D; State Key Laboratory of Genetic Engineering, Human Phenome Institute and School of Life Sciences, Fudan University, Shanghai, China.
  • Qi L; Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China.
  • Hemler EC; Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, Louisiana.
  • Wu S; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
  • Wu T; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
  • Pan A; Department of Cardiology, Kailuan General Hospital, North China University of Science and Technology, Tangshan, China.
JAMA Netw Open ; 5(8): e2225876, 2022 08 01.
Article en En | MEDLINE | ID: mdl-35939299
ABSTRACT
Importance Although numerous studies have separately investigated the associations of changes in weight or waist circumference with mortality risk, few studies have examined the associations of concurrent changes in these 2 anthropometric parameters with all-cause mortality.

Objective:

To assess the associations of changes in body weight, waist circumference, or both, combined with all-cause mortality. Design, Setting, and

Participants:

This cohort study used data from 2 longitudinal cohort studies in Dongfeng-Tongji and Kailuan, China. Participants included 58 132 adults (aged 40 years and older) with measures of weight and waist circumference at baseline and follow-up visit. Statistical analysis was performed from June 2020 to September 2021. Exposures Changes in weight and waist circumference between 2 visits (2008-2010 to 2013 in the Dongfeng-Tongji cohort, and 2006-2007 to 2010-2011 in the Kailuan study). Stable weight was defined as change in weight within 2.5 kg between the 2 visits and stable waist circumference was defined as changes within 3.0 cm. Changes were categorized as loss, stable, or gain for weight and waist circumference separately, and created a 9-category variable to represent the joint changes. Main Outcomes and

Measures:

All-cause mortality from follow-up visit (2013 in Dongfeng-Tongji cohort and 2010-2011 in Kailuan study) until December 31, 2018. Cox proportional hazard regression models were used to estimate the associations with adjustment for potential confounders. Results were obtained in the 2 cohorts separately and pooled via fixed-effect meta-analysis.

Results:

A total of 10 951 participants in the Dongfeng-Tongji cohort (median [IQR] age, 62 [56-66] years; 4203 [38.4%] men) and 47 181 participants in the Kailuan study (median [IQR] age, 51 [46-58] years; 36 663 [77.7%] men) were included in the analysis. During 426 072 person-years of follow-up, 4028 deaths (523 in the Dongfeng-Tongji cohort and 3505 in the Kailuan study) were documented. When changes in weight and waist circumference were examined separately, U-shape associations were found both gain and loss in weight (weight loss pooled hazard ratio [HR], 1.33; 95% CI, 1.23-1.43; weight gain HR, 1.10; 95% CI, 1.02-1.19) or waist circumference (waist circumference loss HR, 1.14; 95% CI, 1.05-1.24; waist circumference gain HR, 1.11; 95% CI, 1.03-1.21) were associated with higher mortality risk compared with stable weight or waist group. When changes in weight and waist circumference were jointly assessed, compared with participants with stable weight and waist circumference (16.9% of the total population [9828 of 58 132] with 508 deaths), participants with different combinations of weight and waist circumference change all had higher mortality risks except for those with stable weight but significant loss in waist. Notably, those who lost weight but gained waist circumference (6.4% of the total population [3698 of 58 132] with 308 deaths) had the highest risk of all-cause mortality (HR, 1.69; 95% CI, 1.46-1.96; absolute rate difference per 100 000 person-years in the Dongfeng-Tongji cohort 414; 95% CI, 116-819; and in the Kailuan study 333; 95% CI, 195-492) among the joint subgroups. Conclusions and Relevance In this cohort study, weight loss with concurrent waist circumference gain was associated with a higher mortality risk in middle-aged and older Chinese adults. This study's findings suggest the importance of evaluating the changes in both body weight and waist circumference when assessing their associations with mortality.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Pérdida de Peso Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Límite: Adult / Aged / Female / Humans / Male / Middle aged País/Región como asunto: Asia Idioma: En Revista: JAMA Netw Open Año: 2022 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Pérdida de Peso Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Límite: Adult / Aged / Female / Humans / Male / Middle aged País/Región como asunto: Asia Idioma: En Revista: JAMA Netw Open Año: 2022 Tipo del documento: Article País de afiliación: China
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