Sleep quality, internet addiction and depressive symptoms among undergraduate students in Nepal

Background: Excessive internet usage is a worldwide problematic issue among young adults and college students. Previous studies showed that Saudi young adults are involved in this problem. Objectives: To determine the prevalence of Internet Addiction (IA), and to find out its relation with depressive symptoms, sleep quality, and demographic variables. Methods: This study used a cross-sectional design. Data were collected from 341 nursing students in Saudi Arabia using three scales: Young’s Internet Addiction Test, Central Epidemiologic Scale for Depression and Pittsburgh Sleep Quality Index. Results: The results showed that 35.1% of students were suffering from frequent problems and 0.9% were suffering from significant problems due to heavy internet usage. The correlation results found a positive moderate correlation between IA and depression (r = 0.401, p < 0.001) and a positive weak correlation with sleep quality (r = 0. 196, p = 0.002). Sleeping and depression were weakly correlated (r = 0.274, p < 0.001). Regression analysis revealed that IA was associated with: smoking status, high family income, duration of usage (3-6 hours and >6 hours), and depressive symptoms. The depressive level was associated with duration of usage (>6 hours), students’ grading point average (GPA), IA, and sleep quality. Sleep quality was found to be associated with duration of usage (>6 hours) and having depressive symptoms. Conclusion: The findings illustrate the need for proper management of internet usage, as well as developing plans to avoid the negative consequences of internet addiction on psychological wellbeing by incorporating nursing education programs about appropriate internet usage.

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Assessment of Prevalence of Internet Addiction and its Relation to Sleep Quality among Undergraduate Students of Saveetha Medical College, Chennai

Indian Journal of Public Health Research & Development ◽

10.37506/ijphrd.v11i5.9283 ◽

2020 ◽

Keyword(s):

Sleep Quality ◽

Undergraduate Students ◽

Internet Addiction ◽

Medical College

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Coping Style as a Mediator of the Relationship Between Depressive Symptoms and Deliberate Self-Harm

Crisis ◽

10.1027/0227-5910/a000083 ◽

2011 ◽

Vol 32 (5) ◽

pp. 272-279 ◽

Cited By ~ 9

Author(s):

Allison S. Christian ◽

Kristen M. McCabe

Keyword(s):

Depressive Symptoms ◽

Undergraduate Students ◽

Cross Sectional Study ◽

Self Report ◽

Hierarchical Regression ◽

Cross Sectional ◽

Deliberate Self Harm ◽

Self Blame ◽

Self Harm ◽

The Relationship

Background: Deliberate self-harm (DSH) occurs with high frequency among clinical and nonclinical youth populations. Although depression has been consistently linked with the behavior, not all depressed individuals engage in DSH. Aims: The current study examined maladaptive coping strategies (i.e., self-blame, distancing, and self-isolation) as mediators between depression and DSH among undergraduate students. Methods: 202 students from undergraduate psychology courses at a private university in Southern California (77.7% women) completed anonymous self-report measures. Results: A hierarchical regression model found no differences in DSH history across demographic variables. Among coping variables, self-isolation alone was significantly related to DSH. A full meditational model was supported: Depressive symptoms were significantly related to DSH, but adding self-isolation to the model rendered the relationship nonsignificant. Limitations: The cross-sectional study design prevents determination of whether a casual relation exists between self-isolation and DSH, and obscures the direction of that relationship. Conclusions: Results suggest targeting self-isolation as a means of DSH prevention and intervention among nonclinical, youth populations.

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Paradoxical Relations Between Depressive Symptoms and Sleep Quality During and After Treatment for Breast Cancer: The Role of Self-Presentation

PsycEXTRA Dataset ◽

10.1037/e705562011-001 ◽

2011 ◽

Author(s):

Christine A. Hovanitz ◽

Jenny Rademacher ◽

Laura Roush ◽

Elyse Lower

Keyword(s):

Breast Cancer ◽

Depressive Symptoms ◽

Sleep Quality ◽

Self Presentation

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Association of severity of depressive symptoms with sleep quality, social support and stress among Pakistani medical and dental students: A cross-sectional study

Global Psychiatry ◽

10.2478/gp-2019-0019 ◽

2019 ◽

Vol 2 (2) ◽

pp. 211-220

Author(s):

Ahmed Waqas ◽

Aqsa Iftikhar ◽

Zahra Malik ◽

Kapil Kiran Aedma ◽

Hafsa Meraj ◽

...

Keyword(s):

Social Support ◽

Depressive Symptoms ◽

Medical Students ◽

Sleep Quality ◽

Severe Depression ◽

Dental Students ◽

Poor Sleep ◽

Poor Sleep Quality ◽

Cross Sectional ◽

Medical And Dental Students

AbstractObjectivesThis study has been designed to elucidate the prevalence of stress, depression and poor sleep among medical students in a Pakistani medical school. There is a paucity of data on social support among medical students in Pakistan; an important predictor of depressive symptoms. Therefore, this study was also aimed to demonstrate the direct and indirect impact of social support in alleviating depressive symptoms in the study sample.MethodsThis observational cross-sectional study was conducted in Lahore, Pakistan, where a total of 400 students at a medical school were approached between 1st January to 31st March 2018 to participate in the study. The study sample comprised of medical and dental students enrolled at a privately financed Pakistani medical and dental school. The participants responded to a self-administered survey comprising of five parts: a) demographics, b) Pittsburgh Sleep Quality Index (PSQI), c) Patient Health Questionnaire-9 (PHQ-9), d) Multidimensional Scale of Perceived Social Support (MSPSS) and e) Perceived Stress Scale-4 (PSS-4). All data were analysed using SPSS v. 20. Linear regression analysis was used to reveal the predictors of depression.ResultsIn total, 353 medical students participated, yielding a response rate of 88.25%. Overall, poor sleep quality was experienced by 205 (58.1%) students. Mild to severe depression was reported by 83% of the respondents: mild depression by 104 (29.5%), moderate depression by 104 (29.5%), moderately severe depression by 54 (15.3%) and severe depression by 31 (8.8%) respondents. Subjective sleep quality, sleep latency, daytime dysfunction and stress levels were significantly associated with depression symptoms. Social support was not significantly associated with depressive symptoms in the regression model (Beta = -0.08, P < 0.09); however, it acted as a significant mediator, reducing the strength of the relationship between depressive symptoms and sleep quality and stress.ConclusionsAccording to our study, a large proportion of healthcare (medical and dental) students were found to be suffering from mild to moderate depression and experienced poor sleep quality. It is concluded that social support is an important variable in predicting depressive symptomatology by ameliorating the effects of poor sleep quality and high stress levels.

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The prevalence and risk factors for depressive symptoms in frontline nurses under COVID-19 pandemic based on a large cross-sectional study using the propensity score-matched method

BMC Psychiatry ◽

10.1186/s12888-021-03143-z ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Hongyan Wang ◽

Xiaoling Dai ◽

Zichuan Yao ◽

Xianqing Zhu ◽

Yunzhong Jiang ◽

...

Keyword(s):

Risk Factors ◽

Depressive Symptoms ◽

Sleep Quality ◽

Psychological Capital ◽

Cross Sectional Study ◽

Poor Sleep ◽

Sectional Study ◽

Poor Sleep Quality ◽

Related Factors ◽

Cross Sectional

Abstract Introduction To explore the prevalence of depressive symptoms and the associated risk factors in frontline nurses under COVID-19 pandemic. Methods This cross-sectional study was conducted from February 20, 2020 to March 20, 2020 and involved 562 frontline nurses. The effective response rate was 87.68%. After propensity score matched, there were 498 participants left. Extensive characteristics, including demographics, dietary habits, life-related factors, work-related factors, and psychological factors were collected based on a self-reported questionnaire. Specific scales measured the levels of sleep quality, physical activity, depressive symptoms, perceived organization support and psychological capital. Adjusted odds ratios and 95% confidence intervals were determined by binary paired logistic regression. Results Of the nurses enrolled in the study, 50.90% had depressive symptoms. Three independent risk factors were identified: poor sleep quality (OR = 1.608, 95% CI: 1.384–1.896), lower optimism of psychological capital (OR = 0.879, 95% CI: 0.805–0.960) and no visiting friend constantly (OR = 0.513, 95% CI: 0.286–0.920). Conclusions This study revealed a considerable high prevalence of depressive symptoms in frontline nurses during the COVID-19 outbreak, and identified three risk factors, which were poor sleep quality, lower optimism of psychological capital, and no visiting friend constantly. Protecting mental health of nurses is important for COVID-19 pandemic control and their wellbeing. These findings enrich the existing theoretical model of depression and demonstrated a critical need for additional strategies that could address the mental health in frontline nurses for policymakers.

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Association between socioeconomic status and longitudinal sleep quality patterns mediated by depressive symptoms

SLEEP ◽

10.1093/sleep/zsab044 ◽

2021 ◽

Author(s):

Ga Bin Lee ◽

Hyeon Chang Kim ◽

Ye Jin Jeon ◽

Sun Jae Jung

Keyword(s):

Socioeconomic Status ◽

Depressive Symptoms ◽

Sleep Quality ◽

Household Income ◽

Pittsburgh Sleep Quality Index ◽

Multinomial Logistic Regression ◽

Mental Healthcare ◽

Mediation Effect ◽

Multinomial Logistic Regression Model ◽

Mediating Role

Abstract Study Objectives We aimed to examine whether associations between socioeconomic status (SES) and longitudinal sleep quality patterns are mediated by depressive symptoms. Methods We utilized data on 3347 participants in the Korean Genome and Epidemiology Study aged 40–69 years at baseline from 2001 to 2002 who were followed up for 16 years. A group-based modeling approach was used to identify sleep quality trajectories using the Pittsburgh Sleep Quality Index (years 2, 6, 8, 10, and 12). Educational attainment (college graduated or less), monthly household income (≥$2500 or less), and occupation (unemployed, manual labor, and professional labor) at baseline (year 0) were used for analyses. Depressive symptoms were assessed using Beck’s Depression Inventory at year 4. Associations between SES and sleep quality patterns were examined using a multinomial logistic regression model. The mediation effect of depressive symptoms was further examined using PROC CAUSALMED. Results We identified five distinct sleep quality trajectories: “normal-stable” (n = 1697), “moderate-stable” (n = 1157), “poor-stable” (n = 320), “developing to poor” (n = 84), and “severely poor-stable” (n = 89). Overall, associations between SES levels and longitudinal sleep patterns were not apparent after full adjustment for sociodemographic and lifestyle factors measured at baseline. Depressive symptoms, however, tended to fully mediate associations between SES levels and sleep quality patterns (odds ratio range for indirect effects of depressive symptoms: for education, 1.05-1.17; for income, 1.05-1.15). Conclusion A significant mediating role for depressive symptoms between SES levels and longitudinal sleep quality warrants consideration among mental healthcare professionals.

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An Explanatory Model of Problematic Internet Use of Southern Spanish University Students

Social Science Computer Review ◽

10.1177/0894439321998650 ◽

2021 ◽

pp. 089443932199865

Author(s):

José-María Romero-Rodríguez ◽

José-Antonio Marín-Marín ◽

Francisco-Javier Hinojo-Lucena ◽

Gerardo Gómez-García

Keyword(s):

University Students ◽

Undergraduate Students ◽

Internet Addiction ◽

Structural Equation ◽

Internet Use ◽

Sociodemographic Factors ◽

Equation Model ◽

Problematic Internet Use ◽

Moderate Degree ◽

Cross Sectional

The problematic Internet use (PIU) has become a topic of special relevance since it is a problem that affects the whole world. It has been detected that the population at greatest risk is university students along with adolescents. At the same time, Spain is one of the countries with the highest PIU rate. The purposes of this article were to analyze the presence and degree of Internet addiction among university students and to check the sociodemographic factors that influence the PIU. To this end, 13 hypotheses were put forward and contrasted using a structural equation model. The study adopted a cross-sectional approach by applying the Internet addiction test to a sample of undergraduate students in southern Spain ( n = 1,013). The results indicated a prevalence of PIU among students of almost 12.5% and with a moderate degree of addiction. In turn, the following hypotheses that had a significant effect on the PIU were supported: gender; field of knowledge; living in the parents’ home; Internet daily use for leisure; Internet daily use for academic purposes; number of social networks; sexual orientation; marital status. Finally, the main findings of the study were reviewed, and the main recommendations and implications for mitigating the negative effects of technology and enhancing the positive ones were established.

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