Evidence map›Paper›PMID 41316213›Full record

ArticleBMC public health2025

Analysis of obesity prevalence and trend prediction among professional women in a hospital from 2010 to 2024: a weight management perspective.

Mei Liu, Yanfeng Shi, Chunyun Shao, Wenchang Jia, Xiaopan Li, Jianguang Tian, Xiaohui Zhou

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Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

Mei LiuShanghai Health and Medical Center, Wuxi, Jiangsu Province, China.
Yanfeng ShiShanghai Health and Medical Center, Wuxi, Jiangsu Province, China.
Chunyun ShaoShanghai Health and Medical Center, Wuxi, Jiangsu Province, China.
Wenchang JiaSchool of Public Health, Fudan University, Shanghai, China.
Xiaopan LiHealth Management Center, Zhongshan Hospital Affiliated to Fudan University, Shanghai, China.
Jianguang TianShanghai Health and Medical Center, Wuxi, Jiangsu Province, China.
Xiaohui ZhouShanghai Health and Medical Center, Wuxi, Jiangsu Province, China. doczxh@126.com.

Funding

the Key Disciplines of the Three-Year Action Plan for Strengthening the Construction of the Public Health System in Shanghai 2023-2025 GWVI-11.1-28
6 · The paper itself

Abstract

backgroundTo analyze the prevalence of overweight, obesity, and central obesity among 248,147 professional women in Shanghai from 2010 to 2024 and predict their trends up to 2035, providing a data support for the local implementation of the Weight Management Annual Plan.

methodsWe collated physical examination data from 248,147 female participants aged 20-59 years who underwent examinations at the Shanghai Health and Medical Center between 2010 and 2024. Overweight and obesity were determined based on body mass index (BMI), while central obesity was diagnosed using waist circumference (WC), waist-hip ratio (WHR), and waist-height ratio (WHtR) as reference values. The JoinPoint regression model was employed to calculate the average annual percent change (AAPC) and its 95% confidence interval (CI). The Bayesian age-period-cohort (BAPC) model was used to predict the development trends of these indicators from 2025 to 2035.

resultsAmong the 248,147 female examinees, the prevalence of overweight was 22.58% (56,027 cases), obesity was 5.34% (13,257 cases), and central obesity was 27.16% (67,387 cases). From 2010 to 2024, the prevalence of overweight (AAPC = 0.79; 95%CI: 0.06 to 1.54; P < 0.05)) and obesity (AAPC = 4.63%; 95%CI: 4.05 to 5.37; P < 0.05) increased annually; the prevalence of central obesity peaked at 29.94% in 2013 and exhibited a fluctuating trend (AAPC = -2.02; 95%CI: -15.38 to 1.83; P > 0.05). Comparative analysis among age subgroups revealed a highly significant upward trend in the rates of overweight, obesity, and central obesity with increasing age (all P < 0.05). The forecast results indicated that the prevalence of obesity would increase by 2.69% annually, reaching 9.14%(95% CI: 7.12 to 11.16; P < 0.05) by 2035.

conclusionProfessional women should strengthen weight management, with employers facilitating health education, providing preferential medical insurance policies, improving the monitoring system, and implementing targeted interventions to control the obesity trend.

Indexed as

ObesityWomen, WorkingAdultBody Mass IndexChinaFemaleForecastingHumansMiddle AgedObesity, AbdominalOverweightPrevalenceYoung AdultCentral obesityObesityOverweightTrend analysisTrend forecast

Identifiers

PMID41316213
PMCPMC12664200

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