Multilevel analysis exploring the links between stress, depression, and sleep problems among two-year college students

Wallace, Deshira D.; Boynton, Marcella H.; Lytle, Leslie A.

doi:10.1080/07448481.2016.1269111

Cited by 90 publications

(67 citation statements)

References 52 publications

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“…In studies of undergraduate students, those who reported poorer sleep quality or reduced sleep quantity also endorsed elevated rates of depression and/or anxiety [10,13], and those who met criteria for insomnia reported increased rates of stress, fatigue, mental health, hypnotic and stimulant use, and decreased quality of life [12]. A recent longitudinal study found that chronic stress, as well as symptoms of depression, were predictive of sleep onset insomnia and hypersomnia among second-year college students [14], another longitudinal study of college students found that stress and sleep problems were bidirectional [15], and multiple studies have demonstrated that mood disorder diagnoses are often preceded by and predicted by poor sleep [16,17]. The association between stress, disrupted sleep and mental health deserves further research attention in college populations.…”

Section: The Role Of Sleep In Maintaining Mental Healthmentioning

confidence: 99%

Sleep in the Social World of College Students: Bridging Interpersonal Stress and Fear of Missing Out with Mental Health

Adams

Murdock

Daly-Cano

et al. 2020

Behavioral Sciences

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Introduction: The college years are characterized by psychosocial and biological phenomena that may impact mental health, such as heightened sensitivity to social stressors and compromises in sleep quantity and quality. The current study uses a biopsychosocial approach to examine the associations among interpersonal stress, Fear of Missing Out (FoMO), insomnia, and mental health. Methods: Survey data were collected from 283 undergraduate students (90% female) with a mean age of 21.4 years. A path analysis was utilized to test a mediational model linking interpersonal stress and FoMO with mental health through a mediator of insomnia. We hypothesized that higher levels of interpersonal stress and FoMO would be associated with higher levels of insomnia symptoms, which would in turn be associated with poorer mental health. Results: As predicted, insomnia partially mediated significant associations of interpersonal stress and FoMO with mental health. The association of interpersonal stress with insomnia and mental health was more robust than the association of FoMO with these variables. Conclusions: The pathway from interpersonal stress and/or FoMO, through insomnia, to compromises in mental health may be modifiable through behavioral interventions focusing on coping skills, sleep hygiene, and even technology-related habit changes. Recommendations to help disrupt this pathway, particularly among college students, are discussed.

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Section: The Role Of Sleep In Maintaining Mental Healthmentioning

confidence: 99%

Sleep in the Social World of College Students: Bridging Interpersonal Stress and Fear of Missing Out with Mental Health

Adams

Murdock

Daly-Cano

et al. 2020

Behavioral Sciences

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“…The rst and therefore strongest predictor selected into the submodel was sleep quality -how refreshed a participant felt after waking up, on their average day. Sleep quality has been consistently shown to be one of the strongest predictors of well-being, especially in young adults, with poor sleep quality being strongly linked to poor mental health outcomes including symptoms of depression (Pilcher et al, 1997;Ridner et al, 2016;Wallace et al, 2017;Wilson et al, 2014). Further, it is important to note that while sleep quality is often shown to be an important predictor of well-being, sleep quantity is not (Pilcher et al, 1997;Wallace et al, 2017).…”

Section: Discussionmentioning

confidence: 99%

“…Sleep quality has been consistently shown to be one of the strongest predictors of well-being, especially in young adults, with poor sleep quality being strongly linked to poor mental health outcomes including symptoms of depression (Pilcher et al, 1997;Ridner et al, 2016;Wallace et al, 2017;Wilson et al, 2014). Further, it is important to note that while sleep quality is often shown to be an important predictor of well-being, sleep quantity is not (Pilcher et al, 1997;Wallace et al, 2017). Likewise, in our study, while sleep quality was entered into the submodels early along the feature selection trajectory, re ecting its predictive strength, sleep quantity was only entered long after any improvement in predictive accuracy was shown.…”

Section: Discussionmentioning

confidence: 99%

Sleep quality, ability to concentrate, and fruit consumption suffice to predict young adult well-being: Findings from Bayesian predictive projection

Bartonicek¹,

Wickham²,

Pornpattananangkul³

et al. 2020

Preprint

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Background The search for reliable lifestyle predictors of psychological well-being is a key research pursuit in psychology and public health. Researchers often gather data on many candidate predictors and then are faced with the difficult task of variable selection – selecting only few “relevant” predictors from the large set of candidates. Many statistical methods that are currently being used for variable selection suffer from known shortfalls. Fortunately, there are newer methods available. The aim of the study is to illustrate the use of predictive projection – a novel Bayesian method for variable selection with many attractive properties – and identify the predictors of psychological well-being in a sample of young adults. Methods The sample consisted of 791 young adults (ages 18 to 25, 27.4% men) from New Zealand who had taken part in the Dunedin Daily Life Study in 2013–2014. For 13 days, participants completed an online daily diary assessment of their well-being and a range of modifiable lifestyle variables. Demographic characteristics were also measured. Participants’ diary data was averaged across days and analyzed cross-sectionally to identify predictors of average differences in flourishing. Predictive projection was used to select as few predictors as necessary to approximate the predictive accuracy of a large reference model with 28 predictors. Lastly, predictive projection was compared with other standard methods of variable selection. Results Three predictors were sufficient to make average daily flourishing to approximate the predictions of the reference model: higher sleep quality, less trouble concentrating, and more servings of fruit. Demographic factors were not selected into the model. The projected submodel performed adequately on the test data. Compared to other variable selection methods, projection had either slightly worse or matching predictive performance, but led to much more parsimonious inference. Conclusion Predictive projection was used to quickly arrive at a parsimonious submodel that approximated the predictive accuracy of the reference model. The variables selected into the submodel – felt refreshed after waking up, had less trouble concentrating, and ate more servings of fruit – were all theoretically meaningful. Our findings have broad implications for well-being research and public policy.

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“…The present study had two main limitations. First, depressive symptoms are influenced by a range of different factors, such as sleep quality (Chiu et al, 2005) and life stress (Wallace, Boynton, & Lytle, 2017). These factors were not addressed in the present analyses.…”

Section: Discussionmentioning

confidence: 99%

Loneliness and depression among Chinese drug users: Mediating effect of resilience and moderating effect of gender

Cao

Liu

2019

Journal Community Psychology

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This study aims to explore potential correlations between gender, loneliness, resilience, and depression simultaneously among Chinese drug users; and especially to investigate the mediating effect of resilience and the moderating effect of gender on the correlation between loneliness and depression. Participants of this study included 513 drug users (399 men and 114 women) who were under treatment in two compulsory drug treatment institutions in one Eastern Chinese city. All participants completed the UCLA (University of California, Los Angeles) loneliness scale, the Zung self‐rating depression scale, and the Connor–Davidson resilience scale. A correlation matrix was constructed to analyze correlations between these three characteristics. Path analyses were performed in the PROCESS for SPSS in order to test the mediating effect of resilience on the association between loneliness and depression; while a series of hierarchical multiple regressions were conducted in SPSS 22.0 to test the moderating effect of gender on the association between loneliness and depression. Compared to male drug users, female ones reported higher average scores on loneliness and depression, which indicated that female drug users suffered severer loneliness and depression. Resilience partially mediates the link between loneliness and depression and gender acts as a moderator for the relationship between loneliness and depression.

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Multilevel analysis exploring the links between stress, depression, and sleep problems among two-year college students

Cited by 90 publications

References 52 publications

Sleep in the Social World of College Students: Bridging Interpersonal Stress and Fear of Missing Out with Mental Health

Sleep in the Social World of College Students: Bridging Interpersonal Stress and Fear of Missing Out with Mental Health

Sleep quality, ability to concentrate, and fruit consumption suffice to predict young adult well-being: Findings from Bayesian predictive projection

Loneliness and depression among Chinese drug users: Mediating effect of resilience and moderating effect of gender

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