Analysis of the current status and influencing factors of cognitive function and sleep quality of elderly people in Shanghai community
ObjectiveTo analyze the cognitive function and sleep quality of the elderly in Shanghai community, and explore the related influencing factors. MethodsA stratified cluster random sampling method was used to select 8 community health centers in Shanghai for a questionnaire survey, including 3 677 eld...
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Shanghai Chinese Clinical Medicine Press Co., Ltd.
2025-02-01
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| Series: | Zhongguo Linchuang Yixue |
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| Online Access: | https://www.c-jcm.com/article/doi/10.12025/j.issn.1008-6358.2025.20241373 |
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| author | Yanli ZHANG Meng WANG Xuechun WANG Shanshan HUANG Jiaoqi REN Houguang ZHOU |
| author_facet | Yanli ZHANG Meng WANG Xuechun WANG Shanshan HUANG Jiaoqi REN Houguang ZHOU |
| author_sort | Yanli ZHANG |
| collection | DOAJ |
| description | ObjectiveTo analyze the cognitive function and sleep quality of the elderly in Shanghai community, and explore the related influencing factors. MethodsA stratified cluster random sampling method was used to select 8 community health centers in Shanghai for a questionnaire survey, including 3 677 elderly individuals who completed the “Comprehensive Health Status Survey of Elderly Residents in Shanghai” from September 2023 to November 2023. Basic information of the elderly was collected, including age, gender, education level, smoking, drinking, mahjong playing behavior, and exercise habits. The Pittsburgh sleep quality index (PSQI) was used to assess the sleep quality of the elderly, subjective cognitive decline (SCD) self-assessment questionnaire and Mini-Mental State Examination (MMSE) were used to evaluate cognitive function, while the Hamilton Anxiety Scale (HAMA) and patient health questionnaire-9 (PHQ-9) were used to assess anxiety and depression levels, and the mini nutritional assessment (MNA) was used to evaluate nutritional status. According to the MMSE scores, the elderly were divided into three groups: no cognitive impairment (MMSE ≥ 27), mild cognitive impairment (MMSE 21-26), and moderate to severe cognitive impairment (MMSE ≤ 20). The general data, lifestyle habits, and scale scores of the three groups were compared. Ordered logistic regression was used to analyze the influencing factors of sleep quality. ResultsThere were statistically significant differences in age, gender, waist circumference, body mass index (BMI), education level, pet ownership, smoking, drinking, mahjong playing behavior, exercise habits, and scale scores among the three groups (P＜0.05). Logistic regression analysis showed that age, waist circumference, gender, drinking habits, mahjong playing behavior, and chronic comorbidities are influencing factors for the PSQI grading in the elderly (P＜0.05). The MMSE score (OR＝1.037, P＝0.001), SCD score (OR＝1.123, P＜0.001), HAMA score (OR＝1.183, P＜0.001), PHQ-9 score (OR＝1.249, P＜0.001) are positive influencing factors for PSQI grading, while the MNA score is a negative influencing factor (OR＝0.960, P＝0.037). ConclusionsAdvanced age, female gender, low education level, no pet ownership, no mahjong playing behavior, no exercise habits, and poor sleep quality are risk factors for cognitive impairment in the elderly. Advanced age, female gender, no mahjong playing behavior and poor nutritional status are influencing factors for poor sleep quality in the elderly, and severe comorbidities, anxiety, depression, and subjective decline in cognitive function all affect sleep quality. |
| format | Article |
| id | doaj-art-787dae93821f4dfeba65e6b9e9fe735f |
| institution | OA Journals |
| issn | 1008-6358 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Shanghai Chinese Clinical Medicine Press Co., Ltd. |
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| series | Zhongguo Linchuang Yixue |
| spelling | doaj-art-787dae93821f4dfeba65e6b9e9fe735f2025-08-20T02:18:14ZengShanghai Chinese Clinical Medicine Press Co., Ltd.Zhongguo Linchuang Yixue1008-63582025-02-01321586410.12025/j.issn.1008-6358.2025.2024137320241373Analysis of the current status and influencing factors of cognitive function and sleep quality of elderly people in Shanghai communityYanli ZHANG0Meng WANG1Xuechun WANG2Shanshan HUANG3Jiaoqi REN4Houguang ZHOU5Department of Geriatrics, National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai 200040, ChinaDepartment of Geriatrics, National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai 200040, ChinaDepartment of Geriatrics, National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai 200040, ChinaDepartment of Geriatrics, National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai 200040, ChinaDepartment of Geriatrics, National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai 200040, ChinaDepartment of Geriatrics, National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai 200040, ChinaObjectiveTo analyze the cognitive function and sleep quality of the elderly in Shanghai community, and explore the related influencing factors. MethodsA stratified cluster random sampling method was used to select 8 community health centers in Shanghai for a questionnaire survey, including 3 677 elderly individuals who completed the “Comprehensive Health Status Survey of Elderly Residents in Shanghai” from September 2023 to November 2023. Basic information of the elderly was collected, including age, gender, education level, smoking, drinking, mahjong playing behavior, and exercise habits. The Pittsburgh sleep quality index (PSQI) was used to assess the sleep quality of the elderly, subjective cognitive decline (SCD) self-assessment questionnaire and Mini-Mental State Examination (MMSE) were used to evaluate cognitive function, while the Hamilton Anxiety Scale (HAMA) and patient health questionnaire-9 (PHQ-9) were used to assess anxiety and depression levels, and the mini nutritional assessment (MNA) was used to evaluate nutritional status. According to the MMSE scores, the elderly were divided into three groups: no cognitive impairment (MMSE ≥ 27), mild cognitive impairment (MMSE 21-26), and moderate to severe cognitive impairment (MMSE ≤ 20). The general data, lifestyle habits, and scale scores of the three groups were compared. Ordered logistic regression was used to analyze the influencing factors of sleep quality. ResultsThere were statistically significant differences in age, gender, waist circumference, body mass index (BMI), education level, pet ownership, smoking, drinking, mahjong playing behavior, exercise habits, and scale scores among the three groups (P＜0.05). Logistic regression analysis showed that age, waist circumference, gender, drinking habits, mahjong playing behavior, and chronic comorbidities are influencing factors for the PSQI grading in the elderly (P＜0.05). The MMSE score (OR＝1.037, P＝0.001), SCD score (OR＝1.123, P＜0.001), HAMA score (OR＝1.183, P＜0.001), PHQ-9 score (OR＝1.249, P＜0.001) are positive influencing factors for PSQI grading, while the MNA score is a negative influencing factor (OR＝0.960, P＝0.037). ConclusionsAdvanced age, female gender, low education level, no pet ownership, no mahjong playing behavior, no exercise habits, and poor sleep quality are risk factors for cognitive impairment in the elderly. Advanced age, female gender, no mahjong playing behavior and poor nutritional status are influencing factors for poor sleep quality in the elderly, and severe comorbidities, anxiety, depression, and subjective decline in cognitive function all affect sleep quality.https://www.c-jcm.com/article/doi/10.12025/j.issn.1008-6358.2025.20241373elderlysleep qualitycognitive functionpittsburgh sleep quality indexepidemiology |
| spellingShingle | Yanli ZHANG Meng WANG Xuechun WANG Shanshan HUANG Jiaoqi REN Houguang ZHOU Analysis of the current status and influencing factors of cognitive function and sleep quality of elderly people in Shanghai community Zhongguo Linchuang Yixue elderly sleep quality cognitive function pittsburgh sleep quality index epidemiology |
| title | Analysis of the current status and influencing factors of cognitive function and sleep quality of elderly people in Shanghai community |
| title_full | Analysis of the current status and influencing factors of cognitive function and sleep quality of elderly people in Shanghai community |
| title_fullStr | Analysis of the current status and influencing factors of cognitive function and sleep quality of elderly people in Shanghai community |
| title_full_unstemmed | Analysis of the current status and influencing factors of cognitive function and sleep quality of elderly people in Shanghai community |
| title_short | Analysis of the current status and influencing factors of cognitive function and sleep quality of elderly people in Shanghai community |
| title_sort | analysis of the current status and influencing factors of cognitive function and sleep quality of elderly people in shanghai community |
| topic | elderly sleep quality cognitive function pittsburgh sleep quality index epidemiology |
| url | https://www.c-jcm.com/article/doi/10.12025/j.issn.1008-6358.2025.20241373 |
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