Exploring the Relationship Between Social Support and Sleep

The Role of Social Support and Sleep Quality in the Psychological Well-Being of Nurses and Doctors

Social support enhances the development of adaptive strategies to cope with difficulties, which may affect psychological well-being. Sleep quality has been highlighted as having a relevant role in psychological well-being. The present study aimed to analyse the role of social support and sleep quality in the psychological well-being of health professionals (nurses and doctors) compared to the general population. The sample comprised 466 adults aged between 18 and 75 (M = 43.4; SD = 10.8), of which 272 were the general population and 194 nurses and doctors. Data were collected through a Sociodemographic Questionnaire, the Multidimensional Scale of Perceived Social Support, the Pittsburgh Sleep Quality Index, and the Psychological Well-Being Manifestation Measure Scale. Nurses presented less balance (also doctors), sociability and happiness than other professionals. Less significant sociability was observed in nurses compared with doctors. The results also allowed us to observe the positive role of social support from significant others on social involvement and sociability and the positive role of the family in self-esteem. Social support from friends played a positive role in all dimensions of psychological well-being. Males had a higher prevalence of psychological well-being. Other professionals and sleep quality show high levels of psychological well-being in all dimensions. Data discussion highlights the role of social support, sleep, and sex and the implications of health professions (nurses and doctors) on psychological well-being.

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 Migrant-Local Difference in the Relationship Between Social Support, Sleep Disturbance, and Loneliness Among Older Adults in China: Cross-Sectional Study

BACKGROUND

Driven by the accelerated aging of the population of China, the number of older adults has increased rapidly in the country. Meanwhile, following children, migrant older adults (MOA) have emerged as a vulnerable group in the process of fast urbanization. Existed studies have illustrated the association between social support and loneliness and the relationship between sleep disturbance and loneliness; however, the underlying mechanisms and the migrant-local difference in the association between social support, sleep disturbance, and loneliness have not been identified.

OBJECTIVE

This study aimed to clarify the migrant-local difference in the relationship between social support, sleep disturbance, and loneliness in older adults in China.

METHODS

Multistage cluster random sampling was used to select participants: 1205 older adults (n=613, 50.9%, MOA and n=592, 49.1%, local older adults [LOA]) were selected in Weifang City, China, in August 2021. Loneliness was assessed with the 6-item short-form University of California, Los Angeles Loneliness Scale, social support was evaluated with the Social Support Rating Scale, and sleep disturbance was measured with the Pittsburgh Sleep Quality Index. The chi-square test, t test, and structural equation modeling (SEM) were adopted to explore the migrant-local difference between social support, sleep disturbance, and loneliness among the MOA and LOA.

RESULTS

The mean score of loneliness was 8.58 (SD 3.03) for the MOA and 8.00 (SD 2.79) for the LOA. SEM analysis showed that social support exerts a direct negative effect on both sleep disturbance (standardized coefficient=-0.24 in the MOA and -0.20 in the LOA) and loneliness (standardized coefficient=-0.44 in the MOA and -0.40 in the LOA), while sleep disturbance generates a direct positive effect on loneliness (standardized coefficient=0.13 in the MOA and 0.22 in the LOA).

CONCLUSIONS

Both MOA and LOA have a low level of loneliness, but the MOA show higher loneliness than the LOA. There is a negative correlation between social support and loneliness as well as between social support and sleep disturbance among the MOA and LOA (MOA>LOA), while loneliness is positively associated with sleep disturbance in both populations (MOA Collapse

Key Words

• loneliness
• migrant-local difference
• older adults
• sleep disturbance
• social support
• structural equation modeling

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MESH Headings

• Child
• Humans
• Aged
• Cross-Sectional Studies
• Loneliness
• Transients and Migrants
• China/epidemiology
• Sleep Wake Disorders/epidemiology
• Social Support
• Sleep

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Affiliation(s)

Mingli Pang Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China NHC Key Lab of Health Economics and Policy Research, Shandong University, Jinan, China Institute of Health and Elderly Care, Shandong University, Jinan, China
Jieru Wang Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China NHC Key Lab of Health Economics and Policy Research, Shandong University, Jinan, China Institute of Health and Elderly Care, Shandong University, Jinan, China
Mingyue Zhao Human Resource Department, The Second Hospital of Shandong University, Jinan, China
Rui Chen Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China NHC Key Lab of Health Economics and Policy Research, Shandong University, Jinan, China Institute of Health and Elderly Care, Shandong University, Jinan, China
Hui Liu Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China NHC Key Lab of Health Economics and Policy Research, Shandong University, Jinan, China Institute of Health and Elderly Care, Shandong University, Jinan, China
Xixing Xu Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China NHC Key Lab of Health Economics and Policy Research, Shandong University, Jinan, China Institute of Health and Elderly Care, Shandong University, Jinan, China
Shixue Li Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China NHC Key Lab of Health Economics and Policy Research, Shandong University, Jinan, China Institute of Health and Elderly Care, Shandong University, Jinan, China
Fanlei Kong Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China NHC Key Lab of Health Economics and Policy Research, Shandong University, Jinan, China Institute of Health and Elderly Care, Shandong University, Jinan, China

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Skating on thin ice? Mental health and well-being in women's ice hockey

Objectives

First, to map the prevalence of symptoms of positive mental health, anxiety, depression and sleep difficulties, along with the coexistence of these symptoms, among players in the Swedish Women's Hockey League (SDHL). Second, to investigate relationships between these mental health symptoms and demographic variables (ie, age, injuries, dual careers), social support and psychological flexibility.

Methods

Players from nine teams in SDHL (n=182; mean age 22.3±SD 4.8, range 16-35) participated in this cross-sectional study. An online survey, including validated self-assessment questionnaires, conducted data collection. The questionnaires were distributed just before the play-offs started in the 2022-2023 season. Mental health variables were presented as descriptive statistics, and associations were investigated through multivariate binary logistic regression analyses.

Results

The response rate was 91%. Moderate or severe symptoms were reported among 29.7% for sleep difficulties, 20.9% for anxiety and 18.1% for depression. Nineteen per cent reported comorbidities. Sixty percent reported flourishing mental health. Lower psychological flexibility was associated with lower odds of flourishing mental health and higher odds of symptoms of anxiety, depression and sleep difficulties. Social support was associated with higher odds of flourishing mental health and lower odds of sleep difficulties.

Conclusion

6 of every 10 players reported not reaching the ideal state of mental health (ie, flourishing mental health without mental illness). Mental health symptoms were statistically significantly associated with psychological flexibility and social support, suggesting that these factors will be beneficial to consider when preventing mental illness and promoting mental health in this population.

Association Between Family Context and Sleep Trajectory in Middle-Aged and Elderly Chinese Adults

Objective

The study aims to reveal the association between family context and sleep trajectories in middle-aged and elderly Chinese adults.

Methods

Subjects (n=7777) aged between 40 and 65 years were selected from the China Family Panel Studies (CFPS). Latent class analysis and the multi-trajectory method were used to identify the family context and sleep trajectories from 2010 to 2018. Multinomial (polytomous) logistic regression was performed to explore the relationship between family context and sleep trajectories.

Results

Five family context classes were identified according to family demographic characteristics. Simultaneously, four sleep trajectories were determined based on three sleep-related indexes. Subjects from family that had only sons or multiple-child are liable to shorten or prolong sleep duration and increase midday nap ratios compare with subjects who from family that had one or more daughters, and in future public health prevention and control, more attention could be paid to such families.

Conclusion

The study found that family context is associated with sleep trajectories among middle and old Chinese adults. Subjects from families with only girls seemed to have more stable sleep trajectories, while those with one or more boys' families had unstable sleep trajectories. Further interventions would be carried out for sleep disorders, it is necessary to pay more attention to the family context, especially the number and gender of children.

The associations between academic stress and depression among college students: A moderated chain mediation model of negative affect, sleep quality, and social support

BACKGROUND

Growing competition in tight job market and academic excellence as a social norm in Asian culture have made Chinese college students burdened with immense academic stress.

OBJECTIVES

This study aimed to explore the associations between academic stress and depression, and the mediating roles of negative affect and sleep quality, as well as the moderating role of social support in the relationship between negative affect and sleep quality.

METHODOLOGY

A convenience sample of 221 male and 479 female college students aged between 17 and 25 completed questionnaires on academic stress, depression, negative affect, sleep quality and social support.

RESULTS

Results indicated that academic stress could not only directly affect depression (b = 0.31, p < 001), but also affect depression through the mediation role of negative affect and sleep quality. The chain mediating effects includes three paths, namely, the mediating role of negative affect (indirect effect = 0.21, percentage of total effect = 69.58 %), the mediating role of sleep quality (indirect effect = 0.06, percentage of total effect = 21.03 %), and the chain mediating role of negative affect and sleep quality (indirect effect = 0.06, percentage of total effect = 19.86 %). Social support moderated the adverse influence of negative affect on sleep quality. Social support decreases the impact of negative affect on sleep quality. Specifically, the association between negative affect and sleep quality was stronger for college students with low (bsimple = 0.44, p < 0.001) social support than those with high (bsimple = 0.32, p < 0.001) social support.

IMPLICATIONS

The results advanced our understanding of how academic stress affects college students' depression. These findings provide implications on the cultivation of stress coping strategies, promotion of emotion regulation skills, exaltation of sleep quality, and improvement of the social support level aiming for future depression preventions and interventions. Specific measures include setting up psychological health courses, teaching emotion management strategies, and establishing web-based programme steming from acceptance and commitment therapy. It should be noted that the cross-sectional design means the causal associations among the variables could not be determined.

Discrimination and Sleep: Differential Effects by Type and Coping Strategy

BACKGROUND

Discrimination has been posited as a contributor of sleep disparities for Latinxs. The strategy used to cope with discrimination may reduce or exacerbate its effects on sleep. This study examined whether different types of discrimination (everyday and major lifetime discrimination) were associated with sleep indices (quality, disturbances, efficiency) and whether coping strategy used moderated associations.

METHOD

Data of Latinx adults (N = 602; 51% women, 65% Dominican, Mage = 46.72 years) come from the Latino Health and Well-being Project, a community-based, cross-sectional study of Latinxs in Lawrence, MA. Multiple linear regressions were estimated separately for each sleep outcome.

RESULTS

Everyday discrimination was significantly associated with poorer sleep quality and greater disturbances; major lifetime discrimination was significantly associated with worse sleep across the three sleep indices. Coping strategy moderated associations between discrimination and sleep. Compared with Latinxs who used passive coping, those who used passive-active coping strategies had poorer sleep quality the more they experienced everyday discrimination. Latinxs who used any active coping strategy, compared with passive coping, had greater sleep disturbances the more frequently they experienced major lifetime discrimination.

CONCLUSIONS

Findings show that everyday discrimination and major lifetime discrimination are associated with different dimensions of sleep and suggest that coping with discrimination may require the use of different strategies depending on the type of discrimination experienced.

Racial/Ethnic and Sex/Gender Differences in Sleep Duration Trajectories From Adolescence to Adulthood in a US National Sample

Racial/ethnic and sex/gender disparities in sleep duration have been documented in adolescence and adulthood. Identifying racial/ethnic and sex/gender differences in sleep duration trajectories from adolescence to adulthood can inform interventions on the developmental periods individuals are most at risk for short sleep duration. We examined racial/ethnic and sex/gender differences in self-reported sleep duration trajectories from adolescence to adulthood using data from waves I, III, IV, and V of the National Longitudinal Study of Adolescent to Adult Health (1994-2018; n = 12,593). Multigroup growth mixture modeling was used to enumerate sleep duration trajectories from adolescence to adulthood. There were 3 common trajectory types across race/ethnicity and sex/gender groups: 1) consistent increasing short sleepers (i.e., increasing probability of short sleep into adulthood) (67.3%); 2) late-onset short sleepers (i.e., no probability of short sleep duration in adolescence until adulthood) (20.2%); and 3) early-onset short sleepers (i.e., declining probability of short sleep duration from adolescence into adulthood) (12.5%). The prevalence of the consistent-increasing trajectory was highest among Black male respondents, while late onset was highest among White female respondents and early onset greatest among Latinx male respondents. Findings underscore the need to intervene in early adolescence to prevent short sleep duration in adulthood.

Associations between sedentary behavior and negative emotions in adolescents during home confinement: Mediating role of social support and sleep quality

Background

Prolonged periods of sedentary behaviour, for instance, engendered by home confinement in Shenzhen city, has led to negative mental health consequences, especially in adolescents. Previous research suggests, in general, that sedentary behavior can increase negative emotions. However, the specific mechanism driving the relationship between sedentary behavior and negative emotions is still relatively unclear. Social support and sleep quality might partly explain the effect of sedentary behavior on negative emotions. Thus, the current study aimed to examine the associations between sedentary behavior and negative emotions, and to investigate if social support and sleep quality mediate such a relationship.

Method

During home confinement due to the COVID-19 Omicron variant outbreak, 1179 middle and high school students in Shenzhen were invited to voluntarily complete an e-questionnaire, including the 21-item Depression Anxiety Stress Scale (DASS-21), the short form of the International Physical Activity Questionnaire (IPAQ-SF), the Social Support Rating Scale (SSRS) and the Pittsburgh Sleep Quality Index (PSQI). Data from 1065 participants were included in the analysis.

Results

We observed significant sex-related and demografic-related differences in emotional (e.g., anxiety, stress and social support) and other outcome variables (e.g., sitting duration and PSQI score). Furthermore, sedentary behavior, social support, and sleep quality were associated with negative emotions (p < .01), even after controlling for sex, age, only-child case, body mass index, and metabolic equivalent level. In addition, social support and sleep quality partially mediated the association between sedentary behavior and negative emotions.

Conclusion

The findings of the current study suggest that social support and sleep quality partially mediate the relationship between sedentary behavior and negative emotions in middle and high school students during home confinement in Shenzhen city.

The mediating role of perceived social support in the relationship between morningness-eveningness and subjective well-being

Studies show that morningness preference and subjective well-being are positively related. However, little is known about potential factors that may underpin this association. In the present study, we explored the mediational role of general social support and its facets (family, friends, and significant other) in the relationship between morningness-eveningness and subjective well-being. The present study was conducted with a sample of 1,067 adults (51% women), with a mean (SD, range) age of 36.41 (9.95, 18-55) years. Our results corroborated earlier findings that morningness was positively associated with both subjective well-being and social support. Controlling for age and gender, we obtained significant mediation effects, showing that the association between morningness-eveningness and subjective well-being might stem, at least in part, from the higher levels of social support received by morning-oriented individuals. This may lead to the conclusion that social support is an important antecedent of the greater well-being reported by morning-oriented individuals.