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Rodrigues PMF, Silva PGS, Voss G, Martinez-Pecino R, Delerue-Matos A. Pandemic policies and sleeping problems in older adults. J Sleep Res 2024:e14268. [PMID: 38924266 DOI: 10.1111/jsr.14268] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Revised: 04/29/2024] [Accepted: 05/28/2024] [Indexed: 06/28/2024]
Abstract
Sleep quality is fundamental to physical and mental health. Recent research shows that the COVID-19 pandemic has affected individuals' sleep quality. This study aims to investigate whether the containment and health policies (Oxford Coronavirus Government Response Tracker indexes) adopted by European countries and Israel during the pandemic are related to sleep problems in people aged 50 and over. A cross-sectional study was conducted using a logistic regression analysis based on data from the Survey of Health, Ageing and Retirement in Europe, collected in 27 European countries and Israel, in 2021. The results show that containment and health policies affect older adults' sleep, once we neutralise the influence of the sociodemographic, economic, and health characteristics of the individuals and close contact with COVID-19. In fact, the more containment and health policies, the fewer chances of sleep problems. A possible explanation for this is that these policies give people over 50 a sense of safety and security in relation to COVID-19, which may reduce sleep problems.
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Affiliation(s)
| | | | - Gina Voss
- Communication and Society Research Centre, University of Minho, Braga, Portugal
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Yang H, Xu L, Qin W, Hu F, Li L, Chen C, Tang W. Gender differences in the modifying effect of living arrangements on the association of sleep quality with cognitive function among community-dwelling older adults: a cross-sectional study. Front Public Health 2023; 11:1142362. [PMID: 37213633 PMCID: PMC10196399 DOI: 10.3389/fpubh.2023.1142362] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Accepted: 03/28/2023] [Indexed: 05/23/2023] Open
Abstract
Background Sleep quality is considered to be associated with cognitive function for older adults, but little is known about whether living with others can buffer mild cognitive impairment in older adults with poor sleep quality. The objective of this study was to examine the role of living arrangements in sleep quality and cognitive function among older adults aged 65 and over. Methods 2,859 older adults over 65 years old were selected by using multi-stage stratified sampling method. Cognitive function and sleep quality were measured using Mini-Mental State Examination (MMSE) and Pittsburgh Sleep Quality Index (PSQI). Binary logistic regression was performed to examine the relationship between sleep quality and mild cognitive impairment, and the interaction effects of sleep quality and living arrangements on mild cognitive impairment stratified by gender. Results Poor sleep quality was associated with mild cognitive impairment among men and women regardless of living arrangements. The significantly protective role of living with others in reducing the incidence of mild cognitive impairment was found in men with poor sleep quality, but not in women. Conclusion Targeted support for older adults with poor sleep quality may be effective in preventing mild cognitive impairment, and gender differences should be taken into account when promoting cohabitations.
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Affiliation(s)
- Haifeng Yang
- Center for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- NHC Key Lab of Health Economics and Policy Research, Shandong University, Jinan, Shandong, China
- Center for Health Economics Experiment and Public Policy Research, Shandong University, Jinan, Shandong, China
| | - Lingzhong Xu
- Center for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- NHC Key Lab of Health Economics and Policy Research, Shandong University, Jinan, Shandong, China
- Center for Health Economics Experiment and Public Policy Research, Shandong University, Jinan, Shandong, China
- *Correspondence: Lingzhong Xu,
| | - Wenzhe Qin
- Center for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- NHC Key Lab of Health Economics and Policy Research, Shandong University, Jinan, Shandong, China
- Center for Health Economics Experiment and Public Policy Research, Shandong University, Jinan, Shandong, China
| | - Fangfang Hu
- Center for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- NHC Key Lab of Health Economics and Policy Research, Shandong University, Jinan, Shandong, China
- Center for Health Economics Experiment and Public Policy Research, Shandong University, Jinan, Shandong, China
| | - Lei Li
- Center for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- NHC Key Lab of Health Economics and Policy Research, Shandong University, Jinan, Shandong, China
- Center for Health Economics Experiment and Public Policy Research, Shandong University, Jinan, Shandong, China
| | - Chenhui Chen
- Center for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- NHC Key Lab of Health Economics and Policy Research, Shandong University, Jinan, Shandong, China
- Center for Health Economics Experiment and Public Policy Research, Shandong University, Jinan, Shandong, China
| | - Wenlong Tang
- Center for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- NHC Key Lab of Health Economics and Policy Research, Shandong University, Jinan, Shandong, China
- Center for Health Economics Experiment and Public Policy Research, Shandong University, Jinan, Shandong, China
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Decker AN, Fischer AR, Gunn HE. Socio-Ecological Context of Sleep: Gender Differences and Couples' Relationships as Exemplars. Curr Psychiatry Rep 2022; 24:831-840. [PMID: 36401678 PMCID: PMC9676909 DOI: 10.1007/s11920-022-01393-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/28/2022] [Indexed: 11/21/2022]
Abstract
PURPOSE OF REVIEW We summarized recent findings on insufficient sleep and insomnia, two prominent sleep issues that impact public health. We demonstrate the socio-ecologial impact of sleep health with findings on gender and couples' relationships as exemplars. RECENT FINDINGS Robust gender differences in sleep duration and insomnia are due to biological and socio-ecological factors. Gender differences in insufficient sleep vary by country of origin and age whereas gender differences in insomnia reflect minoritized identities (e.g., sexual, gender). Co-sleeping with a partner is associated with longer sleep and more awakenings. Gender differences and couples' sleep were affected by intersecting social and societal influences, which supports a socio-ecological approach to sleep. Recent and seminal contributions to sleep health highlight the importance of observing individual sleep outcomes in a socio-ecological context. Novel methodology, such as global measures of sleep health, can inform efforts to improve sleep and, ultimately, public health.
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Affiliation(s)
- Andrea N. Decker
- Department of Psychology, The University of Alabama, 505 Hackberry Lane, Tuscaloosa, AL 35401 USA
| | - Alexandra R. Fischer
- Department of Psychology, The University of Alabama, 505 Hackberry Lane, Tuscaloosa, AL 35401 USA
| | - Heather E. Gunn
- Department of Psychology, The University of Alabama, 505 Hackberry Lane, Tuscaloosa, AL 35401 USA
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Liu Y, Xian JS, Wang R, Ma K, Li F, Wang FL, Yang X, Mu N, Xu K, Quan YL, Wang S, Lai Y, Yang CY, Li T, Zhang Y, Tan B, Feng H, Chen TN, Wang LH. Factoring and correlation in sleep, fatigue and mental workload of clinical first-line nurses in the post-pandemic era of COVID-19: A multi-center cross-sectional study. Front Psychiatry 2022; 13:963419. [PMID: 36090368 PMCID: PMC9452657 DOI: 10.3389/fpsyt.2022.963419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Accepted: 08/02/2022] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND A better understanding of the factors and their correlation with clinical first-line nurses' sleep, fatigue and mental workload is of great significance to personnel scheduling strategies and rapid responses to anti-pandemic tasks in the post-COVID-19 pandemic era. OBJECTIVE This multicenter and cross-sectional study aimed to investigate the nurses' sleep, fatigue and mental workload and contributing factors to each, and to determine the correlation among them. METHODS A total of 1,004 eligible nurses (46 males, 958 females) from three tertiary hospitals participated in this cluster sampling survey. The Questionnaire Star online tool was used to collect the sociodemographic and study target data: Sleep quality, fatigue, and mental workload. Multi-statistical methods were used for data analysis using SPSS 25.0 and Amos 21.0. RESULTS The average sleep quality score was 10.545 ± 3.399 (insomnia prevalence: 80.2%); the average fatigue score was 55.81 ± 10.405 (fatigue prevalence: 100%); and the weighted mental workload score was 56.772 ± 17.26. Poor sleep was associated with mental workload (r = 0.303, P < 0.05) and fatigue (r = 0.727, P < 0.01). Fatigue was associated with mental workload (r = 0.321, P < 0.05). COVID-19 has caused both fatigue and mental workload. As 49% of nurses claimed their mental workload has been severely affected by COVID-19, while it has done slight harm to 68.9% of nurses' sleep quality. CONCLUSION In the post-COVID-19 pandemic era, the high prevalence of sleep disorders and fatigue emphasizes the importance of paying enough attention to the mental health of nurses in first-class tertiary hospitals. Efficient nursing strategies should focus on the interaction of sleep, fatigue and mental workload in clinical nurses. In that case, further research on solutions to the phenomenon stated above proves to be of great significance and necessity. CLINICAL TRIAL REGISTRATION [https://clinicaltrials.gov/], identifier [ChiCTR2100053133].
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Affiliation(s)
- Yan Liu
- Southwest Hospital, Administrative Office, Army Medical University, Chongqing, China
| | - Ji Shu Xian
- Department of Neurosurgery, Southwest Hospital, Army Medical University, Chongqing, China
| | - Rui Wang
- Department of Neurosurgery, Southwest Hospital, Army Medical University, Chongqing, China
| | - Kang Ma
- Department of Neurosurgery, Southwest Hospital, Army Medical University, Chongqing, China
| | - Fei Li
- Department of Neurosurgery, Southwest Hospital, Army Medical University, Chongqing, China
| | - Fei Long Wang
- Department of Neurosurgery, Southwest Hospital, Army Medical University, Chongqing, China
| | - Xue Yang
- Department of Neurosurgery, Southwest Hospital, Army Medical University, Chongqing, China
| | - Ning Mu
- Department of Neurosurgery, Southwest Hospital, Army Medical University, Chongqing, China
| | - Kai Xu
- Southwest Hospital, Army Aviation Medicine Teaching and Research Office, Army Medical University, Chongqing, China
| | - Yu Lian Quan
- Department of Neurosurgery, Southwest Hospital, Army Medical University, Chongqing, China
| | - Shi Wang
- Department of Neurosurgery, Southwest Hospital, Army Medical University, Chongqing, China
| | - Ying Lai
- Department of Neurosurgery, Southwest Hospital, Army Medical University, Chongqing, China
| | - Chuan Yan Yang
- Department of Neurosurgery, Southwest Hospital, Army Medical University, Chongqing, China
| | - Teng Li
- Southwest Hospital, Administrative Office, Army Medical University, Chongqing, China
| | - Yanchun Zhang
- Department of Neurosurgery, Southwest Hospital, Army Medical University, Chongqing, China
| | - Binbin Tan
- Department of Neurosurgery, Southwest Hospital, Army Medical University, Chongqing, China
| | - Hua Feng
- Department of Neurosurgery, Southwest Hospital, Army Medical University, Chongqing, China
| | - Tu Nan Chen
- Southwest Hospital, Army Aviation Medicine Teaching and Research Office, Army Medical University, Chongqing, China
| | - Li Hua Wang
- Southwest Hospital, Administrative Office, Army Medical University, Chongqing, China
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