The Cross-Sectional Association Between Multimorbidity and Sleep Quality and Duration Among the Elderly Community Dwellers in Northwest China

Qiaolifanayi Nuermaimaiti; Mulalibieke Heizhati; Qin Luo; Nanfang Li; Lin Gan; Ling Yao; Wenbo Yang; Mei Li; Xiufang Li; Xiayire Aierken; Jing Hong; Hui Wang; Miaomiao Liu; Adalaiti Maitituersun; Aketilieke Nusufujiang; Li Cai

doi:10.2147/NSS.S497036

The Cross-Sectional Association Between Multimorbidity and Sleep Quality and Duration Among the Elderly Community Dwellers in Northwest China

Nat Sci Sleep. 2024 Dec 25:16:2217-2230. doi: 10.2147/NSS.S497036. eCollection 2024.

Authors

Qiaolifanayi Nuermaimaiti^#^{1

2

3

4

5

6}, Mulalibieke Heizhati^#^{1

2

3

4

5

6}, Qin Luo^{1

2

3

4

5

6}, Nanfang Li^{1

2

3

4

5

6}, Lin Gan^{1

2

3

4

5

6}, Ling Yao^{1

2

3

4

5

6}, Wenbo Yang^{1

2

3

4

5

6}, Mei Li^{1

2

3

4

5

6}, Xiufang Li^{1

2

3

4

5

6}, Xiayire Aierken^{1

2

3

4

5

6}, Jing Hong^{1

2

3

4

5

6}, Hui Wang^{1

2

3

4

5

6}, Miaomiao Liu^{1

2

3

4

5

6}, Adalaiti Maitituersun^{1

2

3

4

5

6}, Aketilieke Nusufujiang^{1

2

3

4

5

6}, Li Cai^{1

2

3

4

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6}

Affiliations

¹ Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, 830001, People's Republic of China.
² Xinjiang Hypertension Institute, Urumqi, Xinjiang, 830001, People's Republic of China.
³ NHC Key Laboratory of Hypertension Clinical Research, Urumqi, Xinjiang, 830001, People's Republic of China.
⁴ Key Laboratory of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, 830001, People's Republic of China.
⁵ Hypertension Research Laboratory, Urumqi, Xinjiang, 830001, People's Republic of China.
⁶ Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, 830001, People's Republic of China.

^# Contributed equally.

Abstract

Background: Multimorbidity, defined as the coexistence of two or more chronic diseases, is highly prevalent among the elderly population and is associated with adverse outcomes. However, little is known about its relationship with sleep issues, particularly in this demographic. Therefore, this study aimed to investigate its association with sleep quality and duration among the elderly.

Methods: This cross-sectional study was conducted in Emin County, Xinjiang, China, which included a population aged 60 years and above. We employed the Pittsburgh Sleep Quality Index (PSQI) score to assess sleep quality and duration. Multimorbidity was determined through self-reports, physical examination, blood tests, and imaging. Logistic regression analyses were used to explore the association between multimorbidity and sleep patterns, adjusting for confounders.

Results: A total of 8205 elderly participants were included, of whom 66.8% suffered from multimorbidity. Participants with multimorbidity exhibited higher total PSQI scores [6 (3,9)], and a higher percentage of poor sleep quality (50.6%), compared to those without multimorbidity. Multimorbidity was significantly associated with the presence of poor sleep quality (OR = 1.27, 95% CI: 1.14-1.41, P < 0.001) before and after adjusting for confounders. The risk of having poor sleep quality significantly increased as the number of multimorbidities increased. The OR (95% CI) values were 1.16 (1.02,1.32) for two diseases, 1.54 (1.26,1.90) for ≥5 diseases. In the adjusted model for total participants, having four diseases (OR = 1.26, 95% CI: 1.05-1.51, p = 0.013) and five or more diseases (OR = 1.29, 95% CI: 1.03-1.61, p = 0.029) were associated with shorter sleep duration. Furthermore, those with five or more diseases associated with longer sleep duration (OR = 1.40, 95% CI: 1.00-1.95, p = 0.057).

Conclusion: There is a significant association between multimorbidity and poor sleep quality in older community dwellers, which may provide clues for disease prevention.

Keywords: elderly; multimorbidity; sleep duration; sleep quality.

Grants and funding

This study was funded by Key Research and Development Project of Xinjiang Uygur Autonomous Region (Research on key technologies for the epidemiology of age-related diseases based on population cohorts) (2022B03009-1).