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Change trajectory of body mass index and its influencing factors in Chinese adults based on group-based trajectory model
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Ting HUANG, Yi-fei CAO, Feng-jiao GUO, Jing-yi ZHANG, Wen-qiang YIN, Jin-wei HU, Zhong-ming CHEN, Hong-wei GUO
Modern Preventive Medicine | 2026, 53(3) : 411 - 416
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Modern Preventive Medicine | 2026, 53(3): 411-416
• Epidemiology and Statistical Methods •
Change trajectory of body mass index and its influencing factors in Chinese adults based on group-based trajectory model
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Ting HUANG, Yi-fei CAO, Feng-jiao GUO, Jing-yi ZHANG, Wen-qiang YIN, Jin-wei HU, Zhong-ming CHEN, Hong-wei GUO
Affiliations
  • School of Management, Shandong Second Medical University, Weifang, Shandong 261053, China
Published: 2026-02-10 doi: 10.20043/j.cnki.MPM.202509115
Outline
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Objective

To identify the long-term trajectories of body mass index (BMI) among Chinese adults and analyze their influencing factors, providing a scientific basis for developing precision weight management strategies.

Methods

Using longitudinal data from seven waves (2010—2022) of the China Family Panel Studies (CFPS), we included 6 134 adults aged ≥18 years. We used the group-based trajectory model (GBTM) to fit BMI change trajectories and multinomial logistic regression to analyze the influencing factors of each trajectory group.

Results

The GBTM identified four distinct BMI trajectories: stable normal weight (25.29%), progressive overweight (39.73%), persistent overweight (27.47%), and fluctuating obesity (7.52%).Multinomial logistic regression analysis revealed that age 30-44 (RRR=1.476, 95% CI: 1.205-1.807) and 45-59 (RRR=1.478,95% CI: 1.199-1.822), urban residence (RRR=1.252, 95% CI: 1.086-1.443), and physical exercise (RRR=1.292, 95% CI:1.101-1.517) were risk factors for the progressive overweight group, while self-rated unhealthy (RRR=0.593, 95% CI: 0.480-0.733) was a protective factor for this group. For the persistent overweight group, male (RRR=1.202, 95% CI: 1.032-1.401), age 30-44 (RRR=1.649, 95% CI: 1.315-2.067) and 45-59 (RRR=1.527, 95% CI: 1.209-1.929), urban residence (RRR=1.361,95% CI: 1.167-1.587), being married (RRR=1.634, 95% CI: 1.273-2.098), high household income per capita (RRR=1.346,95% CI: 1.113-1.628), physical exercise (RRR=1.359, 95% CI: 1.144-1.614), and having chronic disease(s) (RRR=1.317, 95% CI: 1.059-1.638) were risk factors, whereas self-rated unhealthy (RRR=0.670, 95% CI: 0.532-0.843) was a protective factor.Risk factors for the fluctuating obesity group included urban residence (RRR=1.861, 95% CI: 1.481-2.339), being married(RRR=1.671, 95% CI: 1.136-2.458), alcohol consumption (RRR=1.467, 95% CI: 1.095-1.966), physical exercise (RRR=1.316, 95% CI: 1.024-1.691), and having chronic disease(s) (RRR=1.837, 95% CI: 1.359-2.483).

Conclusion

Chinese adults exhibit significant heterogeneity in BMI trajectories, necessitating focused interventions for the progressive overweight and persistent overweight groups, with targeted strategies for high-risk populations including urban residents, married individuals, physically active adults, middle-aged groups, and chronic disease patients.

Adults  /  Body mass index  /  Trajectory  /  Group-based trajectory model
黄婷, 曹翼飞, 郭凤娇, 张景怡, 尹文强, 胡金伟, 陈钟鸣, 郭洪伟. 基于组基轨迹模型的中国成年人身体质量指数变化轨迹及影响因素研究. 现代预防医学, 2026 , 53 (3) : 411 -416 . DOI: 10.20043/j.cnki.MPM.202509115
Ting HUANG, Yi-fei CAO, Feng-jiao GUO, Jing-yi ZHANG, Wen-qiang YIN, Jin-wei HU, Zhong-ming CHEN, Hong-wei GUO. Change trajectory of body mass index and its influencing factors in Chinese adults based on group-based trajectory model[J]. Modern Preventive Medicine, 2026 , 53 (3) : 411 -416 . DOI: 10.20043/j.cnki.MPM.202509115
Year 2026 volume 53 Issue 3
26
14
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doi: 10.20043/j.cnki.MPM.202509115
  • Receive Date:2025-09-10
  • Online Date:2026-11-02
  • Published:2026-02-10
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  • Received:2025-09-10
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    School of Management, Shandong Second Medical University, Weifang, Shandong 261053, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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