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Analysis on the current situation and influencing factors of overweight and obesity among the elderly in China based on the theory of health ecology
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Xian-qi ZHANG, Xiao-ju LI, Li ZHAO, Rong FAN, Jia-xin DONG, Xiao-ying SHEN, Yi-yao LI
Modern Preventive Medicine | 2024, 51(5) : 803 - 810
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Modern Preventive Medicine | 2024, 51(5): 803-810
Epidemiology and Statistical Methods
Analysis on the current situation and influencing factors of overweight and obesity among the elderly in China based on the theory of health ecology
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Xian-qi ZHANG, Xiao-ju LI, Li ZHAO, Rong FAN, Jia-xin DONG, Xiao-ying SHEN, Yi-yao LI
Affiliations
  • Department of Preventive Medicine, School of Medicine, Shihezi University, Shihezi, Xinjiang 832000, China
Published: 2024-03-10 doi: 10.20043/j.cnki.MPM.202308485
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Objective

To understand the current situation, influencing factors, and urban-rural heterogeneity of overweight/obesity among the elderly in China, so as to provide basis for formulating corresponding intervention measures.

Methods

The data of people age ≥ 60 years old in China Family Panel Studies (CFPS) database in 2020 were used. Unconditional binary logistic regression was used to analyze the influencing factors of overweight/obesity in the elderly.

Results

A total of 4 870 eligible samples were included in this study, of which 1 903 were overweight/obese, and the overweight/obesity rate was 39.08%(33.10% in rural areas and 36.56% in urban areas). People aged 60-69 (OR = 2.145, 95%CI: 1.559-2.951), 70-79 years old (OR = 1.752, 95%CI: 1.270-2.416), suffering from chronic diseases (OR = 1.215, 95%CI: 1.061-1.392), smoking (OR = 0.651,95%CI: 0.556-0.763), living in the central China (OR = 1.255, 95%CI: 1.052-1.498), eastern China (OR = 1.378, 95%CI:1.169-1.623), living in town (OR = 1.366, 95%CI: 1.193-1.565), with primary school education (OR = 1.214, 95%CI: 1.034-1.427), retirement pension (OR = 1.342, 95%CI: 1.126-1.599), and endowment insurance (OR = 0.841, 95%CI: 0.739-0.956) were the influencing factors of overweight/obesity in the elderly. People aged 60- 69 (OR = 2.333, 95%CI: 1.561-3.487), 70-79 years old (OR = 2.057, 95%CI: 1.372-3.084), suffering from chronic diseases (OR = 1.364, 95%CI: 1.132-1.645), smoking (OR = 0.705, 95%CI: 0.563-0.881), living in the eastern region (OR = 1.278, 95%CI: 1.006-1.623). with primary school education (OR = 1.397, 95%CI: 1.104-1.768), and retirement pension (OR = 1.284, 95%CI: 1.046-1.577) were the influencing factors of overweight/obesity of the urban elderly. People aged 60-69 years old (OR = 1.779, 95%CI: 1.048-3.021), smoking (OR =0.594, 95%CI: 0.473-0.747), living in central China (OR = 1.28, 95%CI: 1.010-1.647), eastern China (OR = 1.481, 95%CI:1.176-1.867), retirement pension (OR = 1.424, 95%CI: 1.003-2.022), and new rural cooperative medical system (NCMS) (OR =0.475, 95%CI: 0.261-0.862) and health insurance for urban/rural residents (OR = 0.615, 95%CI: 0.380-0.995) were the influencing factors of overweight/obesity of the rural elderly.

Conclusion

The influencing factors of overweight/obesity in the elderly are multi-level and multi-dimensional and vary between urban and rural areas. Timely and targeted preventive strategies and preventive measures should be taken from individual to macro dimensions, based on the current situation of urban-rural differences in China.

Overweight/obesity  /  Elderly  /  Theory of health ecology  /  Analysis of influencing factors
Xian-qi ZHANG, Xiao-ju LI, Li ZHAO, Rong FAN, Jia-xin DONG, Xiao-ying SHEN, Yi-yao LI. Analysis on the current situation and influencing factors of overweight and obesity among the elderly in China based on the theory of health ecology[J]. Modern Preventive Medicine, 2024 , 51 (5) : 803 -810 . DOI: 10.20043/j.cnki.MPM.202308485
Year 2024 volume 51 Issue 5
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doi: 10.20043/j.cnki.MPM.202308485
  • Receive Date:2023-08-25
  • Online Date:2026-03-19
  • Published:2024-03-10
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  • Received:2023-08-25
Affiliations
    Department of Preventive Medicine, School of Medicine, Shihezi University, Shihezi, Xinjiang 832000, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
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占总种数比例
Percentage of
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Number of
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Percentage of total
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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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