Rumination and Sleep Quality Among Older Adults: Examining the Role of Social Support

Socially-supported sleep in older adults aged 50 and older: a concept analysis

Introduction

The population of older adults is growing disproportionately, constituting 13% of the global population in 2022, and is expected to double by 2050. One of public health's priorities is healthy aging, the maintenance of functional ability aligned with well-being. As many as 50% of older adults report poor sleep quality, leading to an increased risk of morbidity and mortality. The quality and quantity of social relationships may broadly benefit sleep in older adults. However, the concept of socially-supported sleep is underdeveloped as a basis for intervention.

Methods

Existing literature was searched without time restriction in PubMed, CINAHL, PsycINFO, and Scopus ending in August 2022. Thematic analysis was used to determine the defining attributes, antecedents, and consequences of socially-supported sleep guided by Rodgers' evolutionary concept analysis.

Results

Twenty-nine articles written in English, peer-reviewed, and examined social support and sleep in participants aged ≥50 were included. The defining attributes reflect dimensions of sleep quality. The antecedents are safe and secure, belonging and connection, and warmth and comfort. The consequences of socially-supported sleep include improved regulatory capabilities, physical and emotional well-being, and quality of life.

Conclusion

Socially-supported sleep has the potential to inform interventions that promote sleep in older adults. Ongoing research is needed to address the antecedents and mechanisms through which socially-supported sleep may promote sleep quality for healthy aging.

The relationship between social support and sleep quality in older adults: A review of the evidence

OBJECTIVES

Sleep quality is crucial for the health and well-being of older adults, and social support has been consistently shown to be related to sleep quality. However, there is a need for research to understand the mechanisms through which these two factors are linked. The purpose of this review is to synthesize scientific literature on the relationship between social support and sleep quality in older adults.

METHODS

Using an integrative review method, this review was conducted for a period from January 2012 to November 2022 using a combination of keywords related to social support and sleep quality in older adults.

RESULTS

A total of 21 studies that met the inclusion criteria were included. Social support was found to have a positive relationship with subjective and objective sleep quality. It may act as both a mediator between insomnia and hopelessness and a moderator buffering the influence of rumination and negative emotions on sleep quality.

CONCLUSION

This review provides evidence for the positive relationship between social support and sleep quality in older adults. Based on the findings of this review, healthcare professionals should prioritize incorporating assessments of social support and implementing interventions aimed at enhancing social support in older adults to improve their sleep quality.

The chain mediation model of social support and life satisfaction among migrant older adults with children: The role of mental health and sleep quality

INTRODUCTION

Few studies have examined the life satisfaction of migrant older adults with children (MOAC), who emerged due to rapid urbanization and population aging in China. This study aimed to explore the chain mediating effect of mental health and sleep quality on the association between social support and life satisfaction among MOAC in Weifang, China.

METHODS

A cross-sectional study was conducted using multi-stage cluster random sampling, and 613 participants were included. The Social Support Rating Scale, Depression Anxiety Stress Scale, Pittsburgh Sleep Quality Index, and Scale with Life Satisfaction were used to measure the social support, mental health, sleep quality, and life satisfaction of MOAC, respectively. Descriptive statistics, t-tests, and ANOVA were used to explore the relationship between sociodemographic variables and life satisfaction. Pearson's correlation analysis and structural equation modeling (SEM) were conducted to investigate the association between social support, mental health, sleep quality, and life satisfaction.

RESULTS

The mean total SWLS score was 27.87±5.58. SEM analysis demonstrated that social support had a positive effect on life satisfaction (β= 0.197). Mental health and sleep quality partially mediated the association between social support and life satisfaction (95% CI: 0.083-0.193), and the mediating effect accounted for 39.198% of the total effect.

CONCLUSION

Life satisfaction was relatively high, and mental health and sleep quality partially mediated the association between social support and life satisfaction. Policy suggestions were provided based on these results.

Cyclical Links Between Daily Partner Interactions and Sleep Quality in Older Adult Couples: The Mediating Role of Perceived Partner Responsiveness and Negative Affect

Researchers have found significant associations between romantic relationship experiences and sleep quality. However, most existing studies are cross-sectional, few have focused on the aging population, and few have considered mechanisms underlying such associations. To address these gaps, 238 older adult couples completed 7-day daily diaries, reporting on their daily relationship, emotional, and sleep experiences. Multilevel structural equation modeling revealed that husbands' higher negative partner interactions and lower positive partner interactions were indirectly associated with their own and their wives' decreased sleep quality that night via lower perceived partner responsiveness and increased negative affect. Moreover, decreased sleep quality was associated with participants' and their partners' increased negative partner interactions and participants' decreased positive partner interactions the next day, with no significant gender differences. This research provides a foundation for future research on cyclical associations between romantic relationship experiences and sleep quality, with implications for relationship-based interventions to improve sleep quality.

The sleep patterns and their associations with mental health among nursing home residents: a latent profile approach

BACKGROUND

Nursing home residents commonly experience poor sleep conditions. However, few studies have explored the potential sleep patterns among nursing home residents. This study aimed to identify the sleep patterns in nursing home residents, compare residents' characteristics across sleep patterns, and examine the relationships between sleep patterns and residents' mental health (i.e., depressive and anxiety symptoms).

METHODS

This cross-sectional study was conducted in 27 nursing homes in Jinan, China, from March to June 2018. In total, 353 participants were recruited via convenience sampling, and of which, 326 completed the survey. A latent profile analysis was performed to identify sleep patterns based on the seven dimensions of the Pittsburgh Sleep Quality Index. Bivariate analyses were conducted to compare residents' characteristics among the sleep patterns. Mixed-effects logistic regression analyses were adopted to investigate the relationships between sleep patterns and residents' mental health.

RESULTS

Three sleep patterns were identified, including 'good sleepers', 'poor sleepers without hypnotic use', and 'poor sleepers with hypnotic use'. Residents' gender, education, pain, instrumental activities of daily living, and number of chronic conditions were significantly differentiated across the sleep patterns. Compared with 'good sleepers', 'poor sleepers without hypnotic use' were significantly associated with more depressive symptoms (OR = 3.73, 95% CI = 2.09, 6.65, p < 0.001), but not with anxiety symptoms (OR = 2.04, 95% CI = 0.97, 4.29, p = 0.062); whereas 'poor sleepers with hypnotic use' had significantly more depressive (OR = 5.24, 95% CI = 2.54, 10.79, p < 0.001) and anxiety symptoms (OR = 5.02, 95% CI = 2.13, 11.83, p < 0.001).

CONCLUSIONS

This study reveals three distinct sleep patterns in nursing home residents and their significant associations with residents' mental health. These findings can inform future research to develop appropriate and tailored intervention strategies for improving sleep and promoting mental health for nursing home residents.

Low mental health literacy and its association with depression, anxiety and poor sleep quality in Chinese elderly

BACKGROUND

Mental health literacy (MHL) is rarely reported in the Chinese elderly. This study explored the pattern of MHL in the Chinese elderly in relation to depression, anxiety and poor sleep quality.

METHODS

A cross-sectional study was conducted among older adults in Guangzhou, south China. Participants were investigated face-to-face using the Chinese National Mental Health Literacy Scale, the Patient Health Questionnaire-9 item (PHQ-9), the 7-item Generalized Anxiety Disorder (GAD-7) and the Pittsburgh Sleep Quality Index (PSQI). Mental Health Literacy Scale contains three dimensions: mental health knowledge, mental health skills (such as social support, cognitive reappraisal and attentional distraction) and mental health awareness. Multivariate logistic regression was used for examining the association between MHL and mental health.

RESULTS

A total of 506 older adults were recruited. The percentage of depression, anxiety, and poor sleep quality were 16.6%, 7.9% and 40.9%, respectively. MHL dimensions independently associated with depression included cognitive reappraisal (OR = 1.95, p < .001), attentional distraction (OR = 0.61, p = 0.044) and awareness (OR = 0.56, p = 0.027). MHL dimensions independently associated with anxiety symptoms included cognitive reappraisal (OR = 1.90, p = 0.011) and attentional distraction (OR = 0.44, p = 0.016). MHL dimensions independently associated with poor sleep quality included social support (OR = 0.75, p = 0.022), cognitive reappraisal (OR = 1.55, p = 0.003) and attentional distraction (OR = 0.65, p = 0.016).

CONCLUSION

Given the low MHL and its association with poor mental health in the Chinese elderly, policymakers and health professionals should improve the older adults' MHL, which could be conducive to the prevention and control of their mental health problems.

Emotion regulation strategies and difficulties in older adults: A systematic review

OBJECTIVES

The purpose of this systematic review was to assess the types of emotion regulation (ER) strategies used and difficulties in emotion regulation experienced by older adults, within the theoretical frameworks proposed by Gross, and by Gratz and Roemer, respectively.

METHODS

A systematic search was conducted using principal electronic scientific databases (PubMed, Scopus, and Web of Science). The systematic review was performed according to the Preferred Reporting Items for Systematic Reviews and Meta Analyses guidelines.

RESULTS

The final number of articles included was 44. Older adults reported a higher use of adaptive ER strategies, as well as fewer difficulties in ER, compared with younger adults. Findings from this review also suggest that the use of maladaptive ER strategies can also expose older adults to psychological distress, and may affect their adaptation to negative disease-related outcomes more common in later life.

CONCLUSIONS

Older adults generally showed a greater emotional control compared with younger subjects. Adaptive control strategies, rather than maladaptive control strategies, were correlated with more positive outcomes for psychological distress and adaptation to chronic diseases.

CLINICAL IMPLICATIONS

Understanding the nature of ER processes in older adults may contribute to implement tailored interventions aimed at reinforcing adaptive ER processes.

Sleep Deficiency in the Elderly

With aging, there are normative changes to sleep physiology and circadian rhythmicity that may predispose older adults to sleep deficiency, whereas many health-related and psychosocial/behavioral factors may precipitate sleep deficiency. In this article, we describe age-related changes to sleep and describe how the health-related and psychosocial/behavioral factors typical of aging may converge in older adults to increase the risk for sleep deficiency. Next, we review the consequences of sleep deficiency in older adults, focusing specifically on important age-related outcomes, including mortality, cognition, depression, and physical function. Finally, we review treatments for sleep deficiency, highlighting safe and effective nonpharmacologic interventions.

Association of social support with negative emotions among Chinese adolescents during Omicron-related lockdown of Shenzhen City: The roles of rumination and sleep quality

OBJECTIVE

Adolescents are likely to suffer from negative emotions such as depression and anxiety due to the rapid development of biological, cognitive and social changes. Previous studies have indicated possible risk (rumination) and protective (good social support and high sleep quality) factors for depression and anxiety among this age group. The present study is the first to investigate the association between social support and negative emotions during the Outbreak of Omicron variant, on this basis, to further determine the mediating role of rumination and sleep quality on this link.

METHOD

A total of 1,065 Chinese middle- and high-school students (51.5% female, M _age = 13.80, SD = 1.20) completed a psychosocial battery, including the Social Support Rating Scale (SSRS), the Pittsburgh Sleep Quality Index (PSQI), the Ruminative Responses Scale (RRS), the Depression Anxiety Stress Scale (DASS). Serial multiple mediation analysis was conducted using PROCESS macro based on SPSS.

RESULTS

Social support, rumination, and sleep quality were significantly negatively correlated with negative emotional states (Ps < 0.05). Further, rumination and sleep quality were found to partially mediate the relationship between social support and negative emotional states.

CONCLUSIONS

For early detection and prevention of depression and anxiety, providing sufficient social support is necessary for adolescents, because rumination and sleep problems are reported during stressful periods, such as the COVID-19 pandemic.

Psychological Wellbeing, Worry, and Resilience-Based Coping during COVID-19 in Relation to Sleep Quality

The current study evaluated the impact of psychological wellbeing on sleep quality during the onset of the COVID-19 pandemic. A novel empirical model tested variables that mediate and moderate this impact. First, a relationship was established between psychological wellbeing during the COVID-19 pandemic and sleep quality. Second, resilience-based coping associated with the COVID-19 pandemic was tested as a mediator of the impact of psychological wellbeing on sleep quality. Third, dispositional rumination, mindfulness, and worry were compared as moderators of the impact of psychological wellbeing on sleep quality. Fourth, a moderated mediated model was tested for each moderator. Online survey data was collected from 153 adults in the United States. Results demonstrated that coping with the COVID-19 pandemic partially mediated the impact of psychological wellbeing on sleep quality. Worry, but not rumination or mindfulness, moderated the impact. A moderated mediation model failed to demonstrate significance, indicating that the data are best represented by distinct mediation and moderation models. Thus, interventions aimed at improving sleep quality should prioritize concurrent reduction in worry and increase in resilience-based coping strategies. This study provides practical and theoretical contribution to the literature by demonstrating relationships between key variables and contextualizing how the model can be used for assessments and interventions during widespread crises.