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Research on the impact of body mass index on chronic disease prevalence among adult residents: based on propensity score matching method
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Ming-hui GENG1, 2, 3, Jia-ying SUN1, 2, 3, Jin-ping LUO1, 2, 3, Yi-fan MU1, 2, 3, Bao-xuan ZHANG1, 2, 3, Wen-qiang YIN1, 2, 3, Zhong-ming CHEN1, 2, 3, Dong-ping MA1, 2, 3
Modern Preventive Medicine | 2025, 52(13) : 2317 - 2322
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Modern Preventive Medicine | 2025, 52(13): 2317-2322
Epidemiology and Statistical Methods
Research on the impact of body mass index on chronic disease prevalence among adult residents: based on propensity score matching method
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Ming-hui GENG1, 2, 3, Jia-ying SUN1, 2, 3, Jin-ping LUO1, 2, 3, Yi-fan MU1, 2, 3, Bao-xuan ZHANG1, 2, 3, Wen-qiang YIN1, 2, 3, Zhong-ming CHEN1, 2, 3, Dong-ping MA1, 2, 3
Affiliations
  • School of Management, Shandong Second Medical University, Weifang, Shandong 261053, China
Published: 2025-07-10 doi: 10.20043/j.cnki.MPM.202406306
Outline
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Objective

To analyze the impact of BMI on the prevalence of chronic diseases among adult residents and provide theoretical reference for early prevention of chronic diseases.

Methods

A multi-stage stratified random sampling method was used to select residents in Shandong for questionnaire surveys. The questionnaire included basic information, quality of life, and chronic disease prevalence. The propensity score matching method was employed to examine the effect of BMI on chronic disease prevalence.

Results

A total of 2 451 adult residents in Shandong were surveyed. When BMI < 18.5 kg/m2, the impact of BMI on chronic disease prevalence was not statistically significant (P > 0.05). When BMI ≥ 24.0 kg/m2, the average treatment effects of BMI on chronic disease prevalence were -0.134, -0.110, and -0.113 (P < 0.05), increasing the probability of chronic diseases by 11.0%-13.4%. The balance test showed that the standard errors of all variables decreased, and no covariates were statistically significant after matching (P > 0.05). The common support test indicated that both the treatment and control groups were within the common range and relatively symmetric, with almost no systematic differences after matching, demonstrating good matching quality.

Conclusion

BMI ≥ 24.0 kg/m2 increases the probability of chronic diseases among residents. It is necessary to strengthen weight management and public awareness campaigns, expand coverage for key populations, clarify intergroup differences, and propose targeted health management strategies. The roles of the government, primary healthcare institutions, and family doctors should be fully utilized to improve chronic disease prevention and management, thereby enhancing residents’ quality of life.

Body mass index  /  Chronic diseases  /  Propensity score matching  /  Residents
Ming-hui GENG, Jia-ying SUN, Jin-ping LUO, Yi-fan MU, Bao-xuan ZHANG, Wen-qiang YIN, Zhong-ming CHEN, Dong-ping MA. Research on the impact of body mass index on chronic disease prevalence among adult residents: based on propensity score matching method[J]. Modern Preventive Medicine, 2025 , 52 (13) : 2317 -2322 . DOI: 10.20043/j.cnki.MPM.202406306
Year 2025 volume 52 Issue 13
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Article Info
doi: 10.20043/j.cnki.MPM.202406306
  • Receive Date:2024-06-17
  • Online Date:2026-03-19
  • Published:2025-07-10
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  • Received:2024-06-17
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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

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

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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