Resiliency in Young Adulthood and Associations among Retrospective Peer Victimization and Internalizing Problems

Fredrick, Stephanie S.; Jenkins, Lyndsay N.; Dexter, Cassandra M.

doi:10.1007/s40653-021-00342-4

Cited by 9 publications

(3 citation statements)

References 42 publications

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“…These results are similar to those of previous studies, the study of social ecological psychology aims to explore how specific features of social ecology lead to a state of mind, which can also affect people's emotions or behaviors [ 39 ]. Possible mechanisms underlying this have been explained by the diathesis-stress model [ 40 ] or comprehensive social-ecological diathesis-stress model [ 41 ].…”

Section: Discussionmentioning

confidence: 99%

Relationship between chronotype and mental behavioural health among adolescents: a cross-sectional study based on the social ecological system

Zhang

Jin

et al. 2023

BMC Psychiatry

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Background Health risk behaviors (HRBs) is a kind of phenomenon behavior that often occurs in adolescence, and also often appears in clusters. Previous studies suggested an association between social ecological risk factors (SERFs) and HRBs. This study explored 1) whether chronotype moderates the risk of HRBs associated with SERFs and 2) whether mental health is a mediator in this relationship. Methods Adolescents were recruited from 39 junior or senior schools (three cities, 13 schools per city) using a multistage cluster sampling method conducted between October, 2020 and June, 2021. The Social Ecological System, Morningness–Eveningness Questionnaire, Brief Instrument on Psychological Health Youths, and Youth Risk Behavior Surveillance questionnaires were used to measure the SERFs, chronotype, mental health and HRBs. Latent category analysis was used to explore the clustering mode of HRBs. The primary exposure was SERFs, and the primary outcome was HRBs; chronotype was a moderator, and mental health was a mediator. The multivariable logistic regression model was used to determine the relationship between SERFs and chronotype and mental behavioral health status. Mediation moderate analysis using the PROCESS method was used to explore the relationship between these variables. Sensitivity analysis was conducted to evaluate the robustness of the model. Results In total, 17,800 individuals were initially enrolled. After excluding 947 individuals with invalid questionnaires, 16,853 participants were finally included in the analysis. The mean age of participants was 15.33 ± 1.08 years. After adjusting for covariates, multivariable logistic regression found that high levels of SERFs (odds ratio [OR] = 10.10, 95% confidence interval [CI]: 8.88–11.43, P < 0.01), intermediate chronotype (OR = 5.24, 95% CI: 4.57–6.01, P < 0.01), and eveningness (OR = 1.83, 95% CI: 1.64–2.05, P < 0.01) were associated with higher HRBs frequency. This study also assessed the interaction between chronotype, SERFs and HRBs (OR = 27.84, 95% CI: 22.03–35.19, P < 0.01) and mental health (OR = 18.46, 95% CI: 13.16–25.88, P < 0.01). The moderated mediation analyses examined the relationship between chronotype, SERFs, mental health and HRBs. Conclusions SERFs may be important variables in measuring the effect of the adolescent psychosocial environment on HRBs; this effect is mediated by mental health and moderated by chronotype.

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Section: Discussionmentioning

confidence: 99%

Relationship between chronotype and mental behavioural health among adolescents: a cross-sectional study based on the social ecological system

Zhang

Jin

et al. 2023

BMC Psychiatry

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“…A recent study with Chinese undergraduate students during the COVID-19 pandemic also supports this, finding high levels of problematic smartphone use correlated with depression and anxiety (Jin et al, 2021). Given the impact that peer cyber-victimization has on already identified predictors of smartphone addiction (i.e., depression and anxiety; Fredrick et al, 2021;Martínez-Monteagudo et al, 2020), it is likely that peer cybervictimization may emerge as an independent risk factor for smartphone addiction. For example, Li et al (2019) found depression and anxiety to mediate the relation between peer victimization and internet addiction in their cross-sectional study with Chinese adolescents and Chen et al (2021) found depression to mediate the bidirectional association between peer victimization and smartphone addiction in Chinese adolescents in their longitudinal study.…”

Section: Indirect Effects Of Anxiety and Depressive Symptomsmentioning

confidence: 83%

Peer cyber-victimization and addictive phone use: Indirect effects of depression and anxiety among college students

2023

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While social media offer opportunities for young adults, including college students, to maintain relationships and seek social support, concerns have been raised about negative social interactions, such as cyber-victimization, and the role that cyber-victimization may play in exacerbating excessive or problematic phone use. The current study examined the association between peer cyber-victimization and addictive phone use, and the ways in which anxiety and depressive symptoms indirectly affect that relationship. To examine these relations, 540 undergraduate students from a Midwestern university in the United States (66% female, 82% White, 79% between 18 to 20-years-old) completed a computer-based survey that measured peer cyber-victimization, addictive phone use, depressive symptoms, and anxiety. The results showed a significant positive association between peer cyber-victimization and addictive phone use. Anxiety, but not depressive symptoms, had a significant indirect effect on the association between peer cyber-victimization and addictive phone use. The findings indicate that experiencing peer cyber-victimization may increase one’s likelihood to experience addictive phone use, potentially through experiencing anxiety. Longitudinal studies are needed to better understand directionality of the relations among these constructs.

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“…These results are similar to those of a previous study [ 52 ]. Possible mechanisms were explained “pub hypothesis” [ 53 ] and the diathesis-stress model [ 54 ] or the comprehensive social-ecological diathesis-stress model [ 55 ]. Similar research investigations have been conducted to examine the trajectory of multiple childhood adversity and their relationship to adolescent mental health outcomes, as well as the role of good parenting practices as a buffer [ 56 ].…”

Section: Discussionmentioning

confidence: 99%

Role of body mass index in the relationship between adverse childhood experiences, resilience, and mental health: a multivariate analysis

Zhang

Tian

et al. 2023

BMC Psychiatry

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Objectives Depression among adolescents is a global concern. Adverse childhood experiences (ACEs) have been correlated with negative physical and mental health such as obesity and depression; however, increasing evidence has suggested that their correlation might be moderated by BMI and resilience. In this study, we aim to explore (1) whether resilience moderate the risk of mental health by ACEs; (2) whether BMI is a moderator of this relationship. Study Design Adolescents were obtained from 4 grade college students by a multi-stage convenience sampling method in the period of May to Jun, 2022. Methods We use the Connor-Davidson Resilience scale, Depression, Anxiety and Stress Scale-21 Item (DASS-21) questionnaires to measure the ACEs, BMI, resilience and mental health. The primary exposure was ACEs and the primary outcome was mental health; while resilience and BMI were moderators. Multivariable linear regression model was used to establish the relationship of ACEs, resilience and BMI against mental health status. Moderate analysis was employed by PROCESS method to explore the relationship between these variables. Results A total of 3600 individuals were initially enrolled, after excluding 22 with invalid questionnaires, 3578 adolescents were finally included. The mean age was (20.53 ± 1.65) years old. After adjusted for covariates, multivariable linear regression suggest that the high level ACEs (, β =0.58, , 95%CI:0.54,0.62, P < 0.01), resilience (, β=-0.27, 95%CI: , 95%CI: -0.28,-0.26, P < 0.01) were associated with higher depression symptoms, and BMI (, β =0.073, 95%CI: 0.002–0.15, P < 0.05) was associated with higher depression symptoms. There is also the interaction between resilience, ACEs and mental health (depression, anxiety and stress symptoms). In the relationship between ACEs and mental health, resilience and BMI played a moderator role. Conclusions The moderate analysis also provided further evidence of a link between resilience, ACEs, BMI and mental health. The findings shed new light on potential mechanisms between ACEs and mental health, including the effects of the co-interaction of resilience and BMI, adding to previous literature. ACEs may be a profound variable to measure adolescents’ psychosocial environment to influence mental health, and resilience moderate this effect and is also moderated by BMI.

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Resiliency in Young Adulthood and Associations among Retrospective Peer Victimization and Internalizing Problems

Cited by 9 publications

References 42 publications

Relationship between chronotype and mental behavioural health among adolescents: a cross-sectional study based on the social ecological system

Relationship between chronotype and mental behavioural health among adolescents: a cross-sectional study based on the social ecological system

Peer cyber-victimization and addictive phone use: Indirect effects of depression and anxiety among college students

Role of body mass index in the relationship between adverse childhood experiences, resilience, and mental health: a multivariate analysis

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