Gender differences in self-reported sleep problems among older adults in six middle-income countries: a cross-sectional study

Rani, Ritu; Arokiasamy, Perianayagam; Selvamani, Y.; Sikarwar, Ankit

doi:10.1080/08952841.2021.1965425

Cited by 7 publications

(8 citation statements)

References 48 publications

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“…Women’s sleep quality is significantly worse than men’s. Rani ( 32 ) reported that higher odds of sleep problems among women in China. Same to resent studies ( 33 , 34 ), we found women’s worse sleep mainly manifested as worse subjective sleep quality, long time sleep latency and short sleep duration.…”

Section: Discussionmentioning

confidence: 99%

“…This 20item scale can be categorized into 5 dimensions: Comprehensive fatigue, physical fatigue, activity reduction, physical decline and mental fatigue. Total fatigue scores can range from 0 to 100 and are interpreted as no fatigue (0-20), minor fatigue (21)(22)(23)(24)(25)(26)(27)(28)(29)(30)(31)(32)(33)(34)(35)(36)(37)(38)(39), serious fatigue (40-59), severe fatigue (60-79) and extremely severe fatigue (80-100) (15). This scale was used to measure fatigue in Chinese population with a good validity and reliability (16).…”

Section: Fatigue Assessmentmentioning

confidence: 99%

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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

et al. 2022

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BackgroundA 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.ObjectiveThis 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.MethodsA 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.ResultsThe 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.ConclusionIn 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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Section: Discussionmentioning

confidence: 99%

Section: Fatigue Assessmentmentioning

confidence: 99%

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

et al. 2022

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“…Moreover, although the relationship between self-surveillance and body shame emerged for men as it has in other research (McKinley, 2011; Tiggemann & Kuring, 2004); nonetheless, the relationships of these variables to self-rated health may be too weak to detect in such a small sample, and future research should test this model using larger samples. Moreover, future research should test whether this model also explains the gender difference in self-rated health found in younger adolescents (Jerdén et al, 2011; Yoo & Jang, 2023) and middle-aged to older adults (McCullough, & Laurenceau, 2004; Rani et al, 2022).…”

Section: Discussionmentioning

confidence: 99%

“…That is, while their lives may be longer, women may be more likely to experience poorer health during them. This gender difference in self-rated health has been identified in adolescence and young adulthood (Chen & Lucock, 2022;Jerdén et al, 2011;Vaez & Laflamme, 2003;Yoo & Jang, 2023) and has been shown to persist into late middle age (McCullough & Laurenceau, 2004;Rani et al, 2022). It has been identified across many countries, races, and ethnicities (Cummings & Braboy Jackson, 2008;Oksuzyan et al, 2009;Tabler & Painter, 2023).…”

mentioning

confidence: 98%

The Association Between Self-Surveillance and Self-Rated Health in College Women: A Mechanistic Approach

Lamont

2024

Journal of Prevention and Health Promotion

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Although women outlive men, women report poorer self-rated physical health over much of the lifespan. Objectification theory may offer insight into this gender difference. Objectifying culture promotes self-surveillance, which encourages prioritizing the body’s appearance over its physical functioning and well-being. As women may engage in self-surveillance more so than men, this sequence of events may help explain this gender difference in self-rated health. However, the few studies examining this idea show an inconsistent relationship between self-surveillance and self-rated health. Nonetheless, self-surveillance may promote body shame and diminished awareness of internal bodily states. As these factors are associated with poor self-rated health, self-surveillance may predict poor self-rated health via these mechanisms. In study 1 ( N = 166 undergraduate women), self-surveillance was unrelated to self-rated health. However, body shame and low interoceptive awareness mediated this relationship. In study 2 ( N = 347 undergraduate women and men), self-surveillance correlated negatively with self-rated health for female participants but not male participants. Female participants reported poorer self-rated health, and this effect was serially mediated by self-surveillance, body shame, and low body responsiveness. These studies suggest a potential avenue by which self-surveillance may explain the gender difference in self-rated health in college samples, providing an important basis for future longitudinal investigations in more diverse samples. Moreover, these results suggest that interventions targeting body shame and low internal awareness may be used to promote good self-rated health as well as to prevent disease and poor health behaviors related to self-rated health.

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“…Neurobiological factors alone cannot explain the gender disparity in insomnia [ 72 ]. For example, perpetuating factors of insomnia differ by gender: men are more likely to hold false beliefs about the origin and management of insomnia, cope with poor health behaviors (e.g., smoking), and nap during the day; women reported higher pre-sleep arousal, higher perception of severity, more emotional dysregulation, and more use of sleep hygiene strategies [ 52 •, 66 , 67 ]).…”

Section: Insomniamentioning

confidence: 99%

Socio-Ecological Context of Sleep: Gender Differences and Couples’ Relationships as Exemplars

Decker

Fischer

Gunn

2022

Curr Psychiatry Rep

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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. Summary 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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Gender differences in self-reported sleep problems among older adults in six middle-income countries: a cross-sectional study

Cited by 7 publications

References 48 publications

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

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

The Association Between Self-Surveillance and Self-Rated Health in College Women: A Mechanistic Approach

Socio-Ecological Context of Sleep: Gender Differences and Couples’ Relationships as Exemplars

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