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Analysis of physical pain characteristics and influencing factors among the elderly in China—Based on ordered logistic regression and random forest algorithm
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Yi-qian WU1, Zi-xuan ZHANG1, Wen-yu SU1, Yu-xin JIANG2, Lin-hong LI1, Hai-yan LI1, Li-hong JI1, Zhi-wei DONG2, Wen-gui ZHENG1, Qi JING2
Modern Preventive Medicine | 2025, 52(24) : 4424 - 4430
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Modern Preventive Medicine | 2025, 52(24): 4424-4430
• Epidemiology and Statistical Methods Advances •
Analysis of physical pain characteristics and influencing factors among the elderly in China—Based on ordered logistic regression and random forest algorithm
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Yi-qian WU1, Zi-xuan ZHANG1, Wen-yu SU1, Yu-xin JIANG2, Lin-hong LI1, Hai-yan LI1, Li-hong JI1, Zhi-wei DONG2, Wen-gui ZHENG1, Qi JING2
Affiliations
  • School of Public Health, Shandong Second Medical University, Weifang, Shandong 261053, China
Published: 2025-12-25 doi: 10.20043/j.cnki.MPM.202507229
Outline
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Objective

To analyze the prevalence and influencing factors of physical pain among Chinese elderly, providing evidence for pain identification and intervention.

Methods

Data from 6 191 elderly participants in the China Health and Retirement Longitudinal Study (CHARLS) were analyzed using ordinal logistic regression and random forest algorithms to assess the impact and importance of various factors on pain severity.

Results

59.13% of elderly individuals reported pain, with over 30% experiencing moderate or severe pain. The most common pain sites were the lower back, knees, and legs. Male gender (OR=0.695, 95% CI=0.614-0.787), higher education (OR=0.870, 95% CI=0.766-0.988), and retirement (OR=0.802, 95% CI=0.699-0.921) are protective factors. BADL disability (OR=2.071, 95% CI=1.832-2.340), IADL disability (OR=1.990, 95% CI=1.756-2.235), depressive symptoms (OR=1.548, 95% CI=1.378-1.739), poor sleep quality (OR=1.530, 95% CI=1.334-1.756), arthritis or rheumatism (OR=2.486, 95% CI=2.244-2.753), Parkinson’s disease (OR=1.679, 95% CI=1.160-2.428), digestive diseases (OR=1.642, 95% CI=1.478-1.824), cancer (OR=1.554, 95% CI=1.143-2.112), kidney disease (OR=1.543, 95% CI=1.331-1.788), heart disease (OR=1.457, 95% CI=1.299-1.636), and chronic lung diseases (OR=1.190, 95% CI=1.034-1.371) are risk factors. Random forest analysis showed that arthritis, BADL, IADL, depression, and sleep quality were key factors influencing pain severity.

Conclusion

The physical pain burden among elderly Chinese is significant and influenced by multiple factors. Pain management should focus on early identification and individualized interventions for high-risk groups to improve quality of life.

Elderly  /  Physical pain  /  Influencing factors  /  Ordered logistic regression  /  Random forest
吴怡倩, 张子璇, 苏文钰, 蒋雨欣, 李林虹, 李海燕, 嵇丽红, 董志伟, 郑文贵, 井淇. 中国老年人群躯体疼痛特征与影响因素分析. 现代预防医学, 2025 , 52 (24) : 4424 -4430 . DOI: 10.20043/j.cnki.MPM.202507229
Yi-qian WU, Zi-xuan ZHANG, Wen-yu SU, Yu-xin JIANG, Lin-hong LI, Hai-yan LI, Li-hong JI, Zhi-wei DONG, Wen-gui ZHENG, Qi JING. Analysis of physical pain characteristics and influencing factors among the elderly in China—Based on ordered logistic regression and random forest algorithm[J]. Modern Preventive Medicine, 2025 , 52 (24) : 4424 -4430 . DOI: 10.20043/j.cnki.MPM.202507229
Year 2025 volume 52 Issue 24
29
14
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doi: 10.20043/j.cnki.MPM.202507229
  • Receive Date:2025-07-15
  • Online Date:2026-11-02
  • Published:2025-12-25
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  • Received:2025-07-15
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    School of Public Health, 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
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Family
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Number of
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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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