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Impact of social participation patterns on cognitive function in older adults: a latent class analysis approach
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Yu-xin JIANG1, 3, 4, Qi JING1, 3, 4, Ru-xu GE1, 3, 4, Yi-qian WU2, 3, 4, Xiao-qing ZHAO2, 3, 4, Hai-yan LI1, 3, 4, Wen-gui ZHENG2, 3, 4
Modern Preventive Medicine | 2025, 52(22) : 4143 - 4149
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Modern Preventive Medicine | 2025, 52(22): 4143-4149
• Health and Social Behavior •
Impact of social participation patterns on cognitive function in older adults: a latent class analysis approach
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Yu-xin JIANG1, 3, 4, Qi JING1, 3, 4, Ru-xu GE1, 3, 4, Yi-qian WU2, 3, 4, Xiao-qing ZHAO2, 3, 4, Hai-yan LI1, 3, 4, Wen-gui ZHENG2, 3, 4
Affiliations
  • School of Management, Shandong Second Medical University, Weifang, Shandong 261053, China
Published: 2025-11-25 doi: 10.20043/j.cnki.MPM.202505075
Outline
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Objective

To explore the latent classes of social participation among older adults and their impact on cognitive function, providing a reference for improving cognitive function in the elderly.

Methods

Using 2018 CHARLS data, this study analyzed 3 577 adults aged ≥60. Cognitive function was assessed with MMSE. Latent class analysis was conducted in Mplus 8.3, and the BCH method was used to examine the effect of social participation patterns on cognition. Multivariate linear regression analyzed the association between participation categories and cognitive function.

Results

Older adults’ social participation was classified into four latent classes: work-oriented [1 507(42.13%)], comprehensively active [176(4.92%)], volunteer-oriented [334(9.34%)], and low-level-social/family [1 560(43.61%)]. These classes differed significantly in age, education, etc.(P<0.05). Cognitive function differed significantly across classes(χ2=158.689, P<0.05). Multivariate linear regression showed the comprehensively active type had a protective effect on cognition(P<0.05).

Conclusion

This study finds older adults’ social participation types are closely linked to cognitive function, with the comprehensively active group showing the highest levels. Types differ in demographic characteristics and significantly affect cognition. Policymakers and community workers should design and promote diverse, personalized activities based on older adults’ needs and conditions.

Social participation  /  Cognitive function  /  Older adults  /  Latent class analysis
蒋雨欣, 井淇, 葛汝旭, 吴怡倩, 赵晓晴, 李海燕, 郑文贵. 老年人社会参与模式对其认知功能的影响——基于潜在类别分析. 现代预防医学, 2025 , 52 (22) : 4143 -4149 . DOI: 10.20043/j.cnki.MPM.202505075
Yu-xin JIANG, Qi JING, Ru-xu GE, Yi-qian WU, Xiao-qing ZHAO, Hai-yan LI, Wen-gui ZHENG. Impact of social participation patterns on cognitive function in older adults: a latent class analysis approach[J]. Modern Preventive Medicine, 2025 , 52 (22) : 4143 -4149 . DOI: 10.20043/j.cnki.MPM.202505075
Year 2025 volume 52 Issue 22
79
38
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doi: 10.20043/j.cnki.MPM.202505075
  • Receive Date:2025-05-08
  • Online Date:2026-10-29
  • Published:2025-11-25
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  • Received:2025-05-08
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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
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Number of
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种数
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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