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Study on the trajectory of cognitive function changes and influencing factors of elderly groups relocated to new areas: Based on the empirical analysis of four cities and eight counties in Shanxi Province
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Hong-yu XIA, Hang LI, Xin-jing CAO, Le YANG, Qi YU
Modern Preventive Medicine | 2026, 53(2) : 280 - 286
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Modern Preventive Medicine | 2026, 53(2): 280-286
• Primary Health Services •
Study on the trajectory of cognitive function changes and influencing factors of elderly groups relocated to new areas: Based on the empirical analysis of four cities and eight counties in Shanxi Province
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Hong-yu XIA, Hang LI, Xin-jing CAO, Le YANG, Qi YU
Affiliations
  • School of Management, Shanxi Medical University, Taiyuan, Shanxi 030001, China
Published: 2026-01-25 doi: 10.20043/j.cnki.MPM.202508287
Outline
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Objective

To investigate the dynamic trajectories of cognitive function and its influencing factors among elderly populations relocated through poverty alleviation resettlement programs.

Methods

A multistage stratified sampling approach was used to select 740 elderly individuals from 24 resettlement sites across four cities and eight counties in Shanxi Province for three rounds of follow-up surveys. Latent growth mixture models (LGMM) identified cognitive trajectory categories, and multivariable logistic regression analyzed influencing factors.

Results

The prevalence of cognitive impairment was 22.6%, with an overall upward trend in cognitive scores. LGMM identified two distinct trajectories: a “Peak-high cognitive function group” and a “Valley-low cognitive function group.” Advanced age (OR=2.914, 95% CI: 1.946-4.362), non-marital status (OR=2.551, 95% CI: 1.632-3.985), lack of regular physical exercise (OR=1.952, 95% CI: 1.327-2.873), and obesity (OR=2.652, 95% CI: 1.579-4.452) were significant risk factors for the low cognitive trajectory, while better basic functional ability was a protective factor (OR=0.723, 95% CI: 0.637-0.821).

Conclusion

While cognitive function showed overall improvement in the relocated elderly population, specific risk factors significantly increased the risk of cognitive decline. Recommendations include promoting early cognitive screening, expanding community sports facilities, and implementing family-based social support programs.

Relocation  /  Cognitive Function  /  Older adults  /  Trajectory recognition  /  Influencing factors
夏宏宇, 李航, 曹馨婧, 杨乐, 于琦. 易地搬迁老年群体认知功能变化轨迹与影响因素研究——基于山西省四市八县的实证分析. 现代预防医学, 2026 , 53 (2) : 280 -286 . DOI: 10.20043/j.cnki.MPM.202508287
Hong-yu XIA, Hang LI, Xin-jing CAO, Le YANG, Qi YU. Study on the trajectory of cognitive function changes and influencing factors of elderly groups relocated to new areas: Based on the empirical analysis of four cities and eight counties in Shanxi Province[J]. Modern Preventive Medicine, 2026 , 53 (2) : 280 -286 . DOI: 10.20043/j.cnki.MPM.202508287
Year 2026 volume 53 Issue 2
19
11
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Article Info
doi: 10.20043/j.cnki.MPM.202508287
  • Receive Date:2025-08-20
  • Online Date:2026-11-02
  • Published:2026-01-25
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  • Received:2025-08-20
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    School of Management, Shanxi Medical University, Taiyuan, Shanxi 030001, 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
total species (%)
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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