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Objective <p>To explore the current situation of sleep quality and its influencing factors among older adults with cognitive frailty, so as to provide a scientific basis for improving the sleep status of this group.</p> Methods <p>From October 2022 to October 2023, 1,104 participants were recruited via stratified random sampling. Surveys covered basic information. Frailty Phenotype (FP), Chinese Mini-Mental Status(CMMS), Pittsburgh Sleep Quality Index (PSQI), Geriatric Depression Scale-15 (GDS-15), and Self-Rating Anxiety Scale (SAS). Binary logistic regression analyzed sleep disorder factors.</p> Results <p>The median PSQI score was 9 (IQR 7–12), with 64.40% having sleep disorders (PSQI ≥ 7). Analysis by <i>χ</i><sup><i>2</i></sup> found that factors such as marital status, place of residence, average monthly household income per capita, smoking status, drinking status, types of chronic diseases, degree of anxiety, participation in social activities, and physical exercise showed significant differences in relation to sleep disorders among older adults with CF (<i>p</i> &lt; 0.05). Further analysis by binary logistic regression indicated that living in rural areas (OR = 0.706, 95% CI: 0.537–0.930, <i>p</i> = 0.013), drinking alcohol (OR = 0.584, 95% CI: 0.382–0.893, <i>p</i> = 0.013), an average monthly household income per capita of less than 2,000 yuan (OR = 1.413, 95% CI: 1.070–1.866, <i>p</i> = 0.015), participating in social activities daily (OR = 0.607, 95% CI: 0.381–0.967, <i>p</i> = 0.036), participating in social activities 1–3 times a week (OR = 0.507, 95% CI: 0.377–0.682, <i>p</i> &lt; 0.001), and the state of anxiety (OR = 2.393, 95% CI: 1.831–3.126, <i>p</i> &lt; 0.001) were all independent factors affecting the sleep quality of older adults with cognitive frailty (<i>p</i> &lt; 0.05).</p> Conclusion <p>sleep disorders are prevalent among the older adults with CF with a detection rate of 64.40%. Based on this, it is recommended that medical staff formulate stratified intervention strategies according to the above-mentioned independent influencing factors to effectively improve the sleep quality of older adults with CF.</p>

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Sleep quality in older adults with cognitive frailty: current status and influencing factors

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年8月2日

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  • Mei He,
  • XiaoLi Yuan,
  • XiaoLing Zhao,
  • Heting Liang,
  • Yuhong Long,
  • Yan Zhang,
  • Dan Meng,
  • Pan Cai

摘要

Objective

To explore the current situation of sleep quality and its influencing factors among older adults with cognitive frailty, so as to provide a scientific basis for improving the sleep status of this group.

Methods

From October 2022 to October 2023, 1,104 participants were recruited via stratified random sampling. Surveys covered basic information. Frailty Phenotype (FP), Chinese Mini-Mental Status(CMMS), Pittsburgh Sleep Quality Index (PSQI), Geriatric Depression Scale-15 (GDS-15), and Self-Rating Anxiety Scale (SAS). Binary logistic regression analyzed sleep disorder factors.

Results

The median PSQI score was 9 (IQR 7–12), with 64.40% having sleep disorders (PSQI ≥ 7). Analysis by χ2 found that factors such as marital status, place of residence, average monthly household income per capita, smoking status, drinking status, types of chronic diseases, degree of anxiety, participation in social activities, and physical exercise showed significant differences in relation to sleep disorders among older adults with CF (p < 0.05). Further analysis by binary logistic regression indicated that living in rural areas (OR = 0.706, 95% CI: 0.537–0.930, p = 0.013), drinking alcohol (OR = 0.584, 95% CI: 0.382–0.893, p = 0.013), an average monthly household income per capita of less than 2,000 yuan (OR = 1.413, 95% CI: 1.070–1.866, p = 0.015), participating in social activities daily (OR = 0.607, 95% CI: 0.381–0.967, p = 0.036), participating in social activities 1–3 times a week (OR = 0.507, 95% CI: 0.377–0.682, p < 0.001), and the state of anxiety (OR = 2.393, 95% CI: 1.831–3.126, p < 0.001) were all independent factors affecting the sleep quality of older adults with cognitive frailty (p < 0.05).

Conclusion

sleep disorders are prevalent among the older adults with CF with a detection rate of 64.40%. Based on this, it is recommended that medical staff formulate stratified intervention strategies according to the above-mentioned independent influencing factors to effectively improve the sleep quality of older adults with CF.