scholarly journals Roles of Psychosocial Factors on the Association Between Online Social Networking Use Intensity and Depressive Symptoms Among Adolescents: Prospective Cohort Study

10.2196/21316 ◽  
2021 ◽  
Vol 23 (9) ◽  
pp. e21316
Author(s):  
Ji-Bin Li ◽  
Li-Fen Feng ◽  
Anise M S Wu ◽  
Jin-Chen Mai ◽  
Yu-Xia Chen ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Social Networking ◽  
Family Support ◽  
Psychosocial Factors ◽  
Effect Size ◽  
Mediation Effect ◽  
Online Social Networking ◽  
Friend Support ◽  
Adolescent Conflict ◽  
Suppression Effects

Background The potential mechanisms underlying the association between online social networking use intensity and depressive symptoms are unclear and underresearched. Objective We aimed to investigate the potential roles of interpersonal psychosocial factors on the association between online social networking use intensity and depressive symptoms among early adolescents. Methods A total of 4237 adolescents from a 9-month longitudinal study were included. Score changes (indicated as △) for the social function use intensity (SFUI) and entertainment function use intensity (EFUI) subscales of the Online Social Networking Activity Intensity Scale and for friendship quality, perceived family support, perceived friend support, parent–adolescent conflict, social nonconfidence, and depressive symptoms were analyzed. The potential mediation effects of unfavorable psychosocial factors and suppression effects of favorable psychosocial factors on the association of △SFUI with △CES-D and the association of △EFUI with △CES-D were tested using hierarchical regression models. Results The association between △SFUI and △CES-D was partially mediated by △mother–adolescent conflict (mediation effect size 5.11%, P=.02) and △social nonconfidence (mediation effect size 20.97%, P<.001) but partially suppressed by △friendship quality, △perceived family support, and △perceived friend support, with suppression effects of –0.011 (P=.003), –0.009 (P=.003), and –0.022 (P<.001), respectively. The association between △EFUI and △CES-D was partially mediated by △social nonconfidence (mediation effect size 30.65%, P<.001) but partially suppressed by △perceived family support and △perceived friend support, with suppression effects of –0.036 (P<.001) and –0.039 (P<.001), respectively. Conclusions The association between online social networking use intensity and depressive symptoms was partially mediated through the indirect increase in social nonconfidence and mother–adolescent conflict; however, better perceived social support and friendship quality would partially compensate for the harmful impact of online social networking use intensity on depressive symptoms among early adolescents.

scholarly journals Roles of Psychosocial Factors on the Association Between Online Social Networking Use Intensity and Depressive Symptoms Among Adolescents: Prospective Cohort Study (Preprint)

2020 ◽  
Author(s):  
Ji-Bin Li ◽  
Li-Fen Feng ◽  
Anise M S Wu ◽  
Jin-Chen Mai ◽  
Yu-Xia Chen ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Social Networking ◽  
Family Support ◽  
Psychosocial Factors ◽  
Effect Size ◽  
Mediation Effect ◽  
Online Social Networking ◽  
Friend Support ◽  
Adolescent Conflict ◽  
Suppression Effects

BACKGROUND The potential mechanisms underlying the association between online social networking use intensity and depressive symptoms are unclear and underresearched. OBJECTIVE We aimed to investigate the potential roles of interpersonal psychosocial factors on the association between online social networking use intensity and depressive symptoms among early adolescents. METHODS A total of 4237 adolescents from a 9-month longitudinal study were included. Score changes (indicated as △) for the social function use intensity (SFUI) and entertainment function use intensity (EFUI) subscales of the Online Social Networking Activity Intensity Scale and for friendship quality, perceived family support, perceived friend support, parent–adolescent conflict, social nonconfidence, and depressive symptoms were analyzed. The potential mediation effects of unfavorable psychosocial factors and suppression effects of favorable psychosocial factors on the association of △SFUI with △CES-D and the association of △EFUI with △CES-D were tested using hierarchical regression models. RESULTS The association between △SFUI and △CES-D was partially mediated by △mother–adolescent conflict (mediation effect size 5.11%, <i>P</i>=.02) and △social nonconfidence (mediation effect size 20.97%, <i>P</i>&lt;.001) but partially suppressed by △friendship quality, △perceived family support, and △perceived friend support, with suppression effects of –0.011 (<i>P</i>=.003), –0.009 (<i>P</i>=.003), and –0.022 (<i>P</i>&lt;.001), respectively. The association between △EFUI and △CES-D was partially mediated by △social nonconfidence (mediation effect size 30.65%, <i>P</i>&lt;.001) but partially suppressed by △perceived family support and △perceived friend support, with suppression effects of –0.036 (<i>P</i>&lt;.001) and –0.039 (<i>P</i>&lt;.001), respectively. CONCLUSIONS The association between online social networking use intensity and depressive symptoms was partially mediated through the indirect increase in social nonconfidence and mother–adolescent conflict; however, better perceived social support and friendship quality would partially compensate for the harmful impact of online social networking use intensity on depressive symptoms among early adolescents.

The Longitudinal Association Between Passive Social Networking Site Usage and Depressive Symptoms: The Mediating Role of Envy and Moderating Role of Life Satisfaction

2019 ◽  
Vol 38 (3) ◽  
pp. 181-199
Author(s):  
Hai-Zhen Wang ◽  
Ting-Ting Yang ◽  
James Gaskin ◽  
Jin-Liang Wang
Keyword(s):  
Mental Health ◽  
Life Satisfaction ◽  
Depressive Symptoms ◽  
Social Networking ◽  
Social Networking Site ◽  
Mediation Effect ◽  
Mediating Role ◽  
Indirect Relationship ◽  
The Relationship

Introduction: The relationship between Social Networking Site (SNS) usage and depressive symptoms is a growing concern among mental health researchers and practitioners. The purpose of this study was to better understand the mechanism and context under which SNS use affects depressive symptoms. Method: We did this by examining envy as a mediator of the relationship between passive SNS usage and depression over time, with life satisfaction as a moderator of this mediation effect. The sample included 266 college students, who completed the surveys in two waves. Results: The results showed that envy fully mediated the association between passive SNS usage and depression. This indirect relationship was moderated by level of life satisfaction. Specifically, and unexpectedly, among individuals with higher levels of life satisfaction, more frequent passive SNS use was related to increased envy, which, in turn, was associated with increased depressive symptoms. However, this indirect relationship was non-significant for those with lower levels of life satisfaction. Discussion: Thus, the potential of passive SNS use to increase depressive symptoms through envy among individuals with high life satisfaction should be considered when mental health practitioners design interventions.

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

SLEEP ◽  
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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