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Cognitive function and depression symptom trajectories in middle-aged and older adults and their influencing factors
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Ke-rui WANG, Xiao-yi JI, Yi-nuo ZHOU, Shao-hui SU, Rui MA, Si-ran CHEN, Meng-qi ZHOU, Yan-fang YANG
Modern Preventive Medicine | 2025, 52(7) : 1306 - 1310
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Modern Preventive Medicine | 2025, 52(7): 1306-1310
Health and Social Behavior
Cognitive function and depression symptom trajectories in middle-aged and older adults and their influencing factors
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Ke-rui WANG, Xiao-yi JI, Yi-nuo ZHOU, Shao-hui SU, Rui MA, Si-ran CHEN, Meng-qi ZHOU, Yan-fang YANG
Affiliations
  • Department of Epidemiology and Health Statistics, West China School of Public Health, Sichuan University / West China Fourth Hospital, Chengdu, Sichuan 610041, China
Published: 2025-04-10 doi: 10.20043/j.cnki.MPM.202412556
Outline
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Objective

To explore the trends in cognitive function and depression symptoms over time among middle-aged and older adults in China, and to identify populations with differing trajectories of cognitive function and depression symptoms, thereby providing a scientific basis for formulating targeted prevention and control measures.

Methods

A total of 11 863 individuals aged 45 and above from the China Health and Retirement Longitudinal Study (CHARLS) were included. The Group-based Dual Trajectory Model (GBDTM) was employed to identify the developmental trajectories of cognitive function and depression symptoms, and multinomial logistic regression analysis was utilized to examine the influencing factors of different trajectories.

Results

The GBDTM identified four trajectory groups: “Poor cognitive function but mild depression symptoms” (Group 1, 32.9%),“Poor cognitive function and severe depression symptoms” (Group 2, 10.8%), “Good cognitive function and mild depression symptoms” (Group 3, 40.5%), and “Moderate cognitive function and moderate depression symptoms” (Group 4, 15.7%). Factors associated with a higher likelihood of being classified in the“Poor cognitive function and severe depression symptoms” group included being female (OR=4.70, 95%CI: 3.82-5.78), unmarried (OR=2.09, 95%CI: 1.67-2.60), residing in rural areas (OR=4.26,95%CI: 3.59-5.07), smoking (OR=1.26, 95%CI: 1.02-1.56), having activities of daily living (ADL) disabilities (OR=1.92, 95%CI:1.39-2.65), and having instrumental activities of daily living (IADL) disabilities (OR=7.43, 95%CI: 5.90-9.35).

Conclusion

There is a partially “joint development” trajectory relationship between cognitive function and depression symptoms in middle-aged and older adults. Early intervention targeting the influencing factors of different trajectory groups is crucial.

Cognitive function  /  Depression symptoms  /  Group-based dual trajectory model  /  Logistic regression
Ke-rui WANG, Xiao-yi JI, Yi-nuo ZHOU, Shao-hui SU, Rui MA, Si-ran CHEN, Meng-qi ZHOU, Yan-fang YANG. Cognitive function and depression symptom trajectories in middle-aged and older adults and their influencing factors[J]. Modern Preventive Medicine, 2025 , 52 (7) : 1306 -1310 . DOI: 10.20043/j.cnki.MPM.202412556
Year 2025 volume 52 Issue 7
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Article Info
doi: 10.20043/j.cnki.MPM.202412556
  • Receive Date:2024-12-28
  • Online Date:2026-03-18
  • Published:2025-04-10
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  • Received:2024-12-28
Affiliations
    Department of Epidemiology and Health Statistics, West China School of Public Health, Sichuan University / West China Fourth Hospital, Chengdu, Sichuan 610041, China
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表12种不同金属材料的力学参数

Family
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Number of
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种数
Number of
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Percentage 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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