Chronotype and depressive symptoms in healthy subjects: the mediating role of hopelessness and subjective sleep quality

2020 ◽  
Vol 37 (8) ◽  
pp. 1173-1180
Author(s):  
Ahmet Üzer ◽  
Bengü Yücens
Author(s):  
María Pilar Salguero-Alcañiz ◽  
Ana Merchán-Clavellino ◽  
Jose Ramón Alameda-Bailén

In March of 2020, as a consequence of the health crisis caused by the SARS-CoV-2 (COVID-19) virus, the State of Alarm and home confinement of the entire population was imposed in Spain. It is foreseeable that this exceptional situation will have psychological effects on citizens. In this work, the impact of confinement on perceived sleep quality and depression is evaluated through questionnaires, as well as the mediating role of Emotional Intelligence (EI) in this relationship. Our results show, firstly, higher prevalence of depressive symptoms in women and young people associated with poorer perceived sleep quality, and secondly, that Emotional Intelligence intervenes as a mediator in this relationship through three different pathways. Worse perceived quality of sleep causes a greater number of depressive symptoms. In addition, this direct relationship may be enhanced by the mediating role of Emotional Intelligence, which we can express in three different ways: low perceived sleep quality and high emotional attention lead to greater depression; low perceived sleep quality and low emotional clarity increase greater symptoms of depression; and low perceived sleep quality together with low clarity and low emotional repair increase levels of depression. Therefore, we can conclude that improving the skills involved in Emotional Intelligence might increase perceived sleep quality, and thus reduce depressive symptoms, which in turn may improve the quality of life.


2018 ◽  
Author(s):  
Charlotte Mary Horne ◽  
Ray Norbury

Increasing evidence suggests that eveningness is associated with increased risk for depression. Eveningness, however, is also associated with poor sleep quality and the unique role of eveningness in depressive symptomatology remains to be elucidated. The goal of the current study, therefore, was to examine the inter-relationships between eveningness, subjective sleep quality and depressive symptoms in healthy participants free of current or previous depression and sleep disorder. Here, 167 healthy participants (mean age 24.16, 129/38 females/males) completed the reduced Morningness-Eveningness Questionnaire (rMEQ), the Pittsburgh Sleep Quality Index (PSQI) and the Centre for Epidemiological Studies Depression Scale (CES-D). Bootstrap mediation analysis for a simple mediation model including rMEQ, PSQI and CES-D was applied. Eveningness was associated with increased depressive symptoms and mediation analysis showed that this relationship was partly mediated by sleep quality. Our results suggest that indicators of depression observed in evening-type individuals cannot be attributed exclusively to disturbed sleep. We suggest that interventions that target both sleep quality and dysfunctionl cognitive styles would be optimal to promote well-being in evening-type individuals.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Teresa Arora ◽  
Mariapaola Barbato ◽  
Shaikha Al Hemeiri ◽  
Omar M. Omar ◽  
Maryam A. AlJassmi

Abstract Background Interoception is mental awareness, recognition and acknowledgement of physiological body signals. Understanding the role of sleep and interoception may provide a better understanding surrounding the sleep-health connection. Our primary objective was to examine the potential relationships between subjective sleep quality and multiple dimensions of interoceptive abilities in a large sample of young adults, a group who are vulnerable to sleep impairment and its widespread health consequences. Methods We conducted an online cross-sectional survey targeting young adults, aged 18–25 years. The Pittsburgh Sleep Quality Index (PSQI) was used to identify subjective sleep quality and the Multidimensional Assessment of Interoceptive Awareness Version 2 was used to assess eight domains of interoception. We conducted a series of Spearman’s bivariate correlations to assess the relationships between global sleep quality as well as the seven PSQI sub-components in relation to the eight interoception outcomes. We then conducted quantile regression to assess if global PSQI score was an independent predictor of interoception. Participants (n = 609) consented and provided data. Results After adjustment, the global PSQI was a significant predictor of ‘Non-Distracting’, ‘Emotional Awareness’ and ‘Trusting’, where β = − 0.10 (95% CI: − 0.14, − 0.07), β = 0.05 (0.01, 0.09), and β = − 0.10 (− 0.14, − 0.05), respectively. Conclusions Our findings reveal a small, significant relationship between sleep quality and interoceptive abilities amongst young adults. Sleep impairment may inhibit interoceptive skills, thus adding value to the mechanistic explanation of the sleep-health relationship. Experimental and prospective studies are needed to determine temporal associations.


2021 ◽  
Author(s):  
Min-Fang Hsu ◽  
Kang-Yun Lee ◽  
Tsung-Ching Lin ◽  
Wen-Te Liu ◽  
Shu-Chuan Ho

Abstract Background: As a complex phenomenon, sleep quality is difficult to objectively define and measure, and multiple factors related to sleep quality, such as age, lifestyle, physical activity, and physical fitness, feature prominently in older adult populations. The aim of the present study was to evaluate subjective sleep quality using the Pittsburgh Sleep Quality Index (PSQI) and to associate sleep quality with health-related physical fitness factors, depressive symptoms, and the number of chronic diseases in the middle-aged and elderly.Methods: We enrolled a total of 283 middle-aged and elderly participants from a rehabilitation clinic or health examination department. The PSQI was used to evaluate sleep quality. The health-related fitness assessment included anthropometric and physical fitness parameters. Depressive symptoms were measured with the Center for Epidemiologic Studies Depression Scale (CES-D) short form. Data were analyzed with SPSS 18.0, and descriptive statistics and logistic regression analysis were used for the analyses.Results: Overall, 27.9% of participants in this study demonstrated bad sleepers (with a PSQI score of >5), 10.2% of study participants frequently used sleep medication to help them fall asleep, and 6.0% reported having significant depressive symptoms (with a CES-D score of ≥10). There are two major findings: (1) depression symptoms, the number of chronic diseases, self-rated health, and arthritis were significantly associated with a poor sleep quality, and (2) the 2-min step test was associated with longer sleep latency. These results confirmed that the 2-min step was associated with a longer sleep latency among the health-related physical fitness items.Conclusions: Our study found that depressive syndrome, chronic disease numbers, a poor self-rated health status, and arthritis were the main risk factors that influenced subjective sleep quality.


2021 ◽  
Vol 12 ◽  
Author(s):  
Liqun Wang ◽  
Jiangping Li ◽  
Yuqi Dang ◽  
Haiyu Ma ◽  
Yang Niu

Objective: There are few studies about the relationship between social capital (SC) and depression among type 2 diabetes mellitus (T2DM) patients, and the mechanism explaining how SC leads to decreased depression is unclear. The current study aims to explore the relationship between SC and depressive symptoms among the T2DM patients in northwest China, with a particular focus on the mediating role of sleep quality.Methods: A cross-sectional study of 1,761 T2DM patients from Ningxia Province was conducted. The Center for Epidemiological Survey Depression Scale (CES-D) and self-report sleep quality questionnaire coupled with the SC scales were administered during the face-to-face survey. The Bootstrap methods PROCESS program is employed to test the mediation model.Results: The prevalence of depressive symptoms among T2DM patients was 24.8%. After controlling for covariates, the SC (r = −0.23, p < 0.001) was negatively correlated with CES-D score; the sleep quality was also negatively correlated with CES-D score (r = −0.31, p < 0.001); and the SC was positively correlated with sleep quality (r = 0.10, p < 0.001). Logistic regression analysis showed that SC was inversely related to the risk of depressive symptoms. Meanwhile, sleep quality was negatively associated with depressive symptoms. Sleep quality has mediated the relationship between SC and depressive symptoms among T2DM patients (explaining 12.6% of the total variance).Conclusions: We elucidated how SC interacted with depressive symptoms through the mediation pathway of sleep quality using a representative sample of the Chinese diabetes patients. The findings indicate that the improvement of SC and sleep quality may help in maintaining mental health among T2DM patients. Hence, clinicians can suggest that patients communicate more with others to improve the SC and, in turn, maintain their health.


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