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The impact of physical and cognitive activities on cognitive function improvement in elderly individuals with low socioeconomic status
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Dan SONG1, Qian-qian NIE1, Zhi-chao HE1, Gui-rong CHENG1, 2
Modern Preventive Medicine | 2024, 51(21) : 3917 - 3923
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Modern Preventive Medicine | 2024, 51(21): 3917-3923
Primary Health Services
The impact of physical and cognitive activities on cognitive function improvement in elderly individuals with low socioeconomic status
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Dan SONG1, Qian-qian NIE1, Zhi-chao HE1, Gui-rong CHENG1, 2
Affiliations
  • Wuhan University of Science and Technology, School of Medicine, Wuhan, Hubei 430065, China
Published: 2024-11-10 doi: 10.20043/j.cnki.MPM.202406272
Outline
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Objective

To investigate the relationship between physical and cognitive activities and cognitive function in different socioeconomic status (SES) populations, providing a basis for interventions targeting cognitive impairment in elderly individuals of varying SES.

Methods

Data were sourced from the Hubei Memory and Aging Cohort Study (HMACS), including physical examinations and cognitive assessments. SES was categorized into low, medium, and high groups based on education level, occupation, and income. Physical Activity (PA) and Cognitive Leisure Activity (CLA) were standardized through a comprehensive scoring system based on the type, duration, and frequency of activities. Chi-square tests or t-tests were used to analyze group differences, while multivariate logistic regression examined the association between SES and overall cognitive impairment as well as specific cognitive domains. General linear regression models analyzed the relationship between activity scores and cognitive function in elderly individuals across different SES groups.

Results

A total of 8 597 eligible participants aged ≥65 years were included in HMACS, with a mean age of 72.2 (±6.0) years, an average education level of 7.9 (±5.2) years, including 4 735 females (55.1%), 3 008 from rural areas (35.0%), and 2 155 currently unmarried individuals (25.2%). Among them, 1 553(18.1%) were classified as low SES, and 2 677 (31.1%) had cognitive impairment. The prevalence of cognitive impairment was 1.88 times (95%CI: 1.62-2.18) higher in the medium SES group and 3.61 times (95%CI: 2.92-4.46) higher in the low SESgroup compared to the high SES group. In the medium SES group, PA showed the strongest association with memory and attention functions (β=0.06, 95%CI: 0.02-0.11; β=0.08, 95%CI: 0.04-0.12, respectively). In the low SES group, CLA demonstrated the strongest associations with overall cognitive function, memory, language, attention, and processing speed compared to the high SES group, with respective β values of 0.20 (95%CI: 0.12-0.28) vs. 0.03 (95%CI: 0.01-0.05), 0.15 (95%CI: 0.06-0.24) vs.0.04 (95%CI: -0.01-0.10), 0.07 (95%CI: -0.03-0.16) vs. 0.02 (95%CI: -0.02-0.07), 0.15 (95%CI: 0.07-0.24) vs. 0.06(95%CI: 0.00-0.11), and 0.22 (95%CI: 0.08-0.36) vs. 0.04 (95%CI: -0.02-0.09). Additionally, the combination of PA and CLA in the low SES group showed the strongest associations with overall cognitive function, memory, language, attention, and processing speed compared to the high SES group, with β values of 0.29 (95%CI: 0.19 to 0.40) vs. 0.04 (95%CI: 0.00 to 0.07),0.14 (95%CI: 0.02 to 0.26) vs. 0.05 (95%CI: -0.03 to 0.13), 0.11 (95%CI: -0.01 to 0.23) vs. 0.05 (95%CI: -0.01 to 0.11), 0.17(95%CI: 0.07 to 0.28) vs. 0.09 (95%CI: 0.01 to 0.17), and 0.23 (95%CI: 0.04 to 0.41) vs. -0.02 (95%CI: -0.09 to 0.05).

Conclusion

Physical and cognitive activities have a more significant impact on improving cognitive function among elderly individuals with low socioeconomic status. Implementing CLA and combined PA with CLA in low SES populations shows promising cognitive improvement effects.

Socioeconomic status  /  Physical activity  /  Cognitive leisure activity  /  Cognitive function  /  Community elderly
Dan SONG, Qian-qian NIE, Zhi-chao HE, Gui-rong CHENG. The impact of physical and cognitive activities on cognitive function improvement in elderly individuals with low socioeconomic status[J]. Modern Preventive Medicine, 2024 , 51 (21) : 3917 -3923 . DOI: 10.20043/j.cnki.MPM.202406272
Year 2024 volume 51 Issue 21
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doi: 10.20043/j.cnki.MPM.202406272
  • Receive Date:2024-06-14
  • Online Date:2026-03-20
  • Published:2024-11-10
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  • Received:2024-06-14
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    Wuhan University of Science and Technology, School of Medicine, Wuhan, Hubei 430065, China
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表12种不同金属材料的力学参数

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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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