Adolescent psychopathology and psychological wellbeing: a network analysis approach

Campbell, Stephanie; Osborn, Tom L.

doi:10.1186/s12888-021-03331-x

Cited by 28 publications

(22 citation statements)

References 65 publications

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“…Second, self-assessment scales were used in our study, and the results were susceptible to socially desirable responses. Third, although the difference tests of edge weight, centrality and bridge centrality have been widely used in network analysis (93)(94)(95), according to Epskamp et al (32), the methods commonly used in correction for multiple comparison at present are not feasible in network analysis, and new method development is still a topic of future research. Fourth, considering the comorbidity of cognitive impairment, anxiety and depression among the functionally impaired elderly, network analysis including these three may be the direction of future research.…”

Section: Limitationsmentioning

confidence: 99%

Network analysis of anxiety and depression in the functionally impaired elderly

Yang

Guo

Cao

et al. 2022

Front. Public Health

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BackgroundEvidence from previous studies has confirmed that functionally impaired elderly individuals are susceptible to comorbid anxiety and depression. Network theory holds that the comorbidity emerges from interactions between anxiety and depression symptoms. This study aimed to investigate the fine-grained relationships among anxiety and depression symptoms in the functionally impaired elderly and identify central and bridge symptoms to provide potential targets for intervention of these two comorbid disorders.MethodsA total of 325 functionally impaired elderly individuals from five communities in Xi'an, China, were recruited for our investigation. The GAD-7 and PHQ-9 were used to measure anxiety and depression, respectively. SPSS 22.0 software was used for descriptive statistics, and R 4.1.1 software was used for network model construction, expected influence (EI) evaluation and bridge expected influence (BEI) evaluation.ResultsIn the network, there were 35 edges (indicating partial correlations between symptoms) across the communities of anxiety and depression, among which the strongest edge was A1 “Nervousness or anxiety”-D2 “Depressed or sad mood.” A2 “Uncontrollable worry” and D2 “Depressed or sad mood” had the highest EI values in the network, while A6 “Irritable” and D7 “Concentration difficulties” had the highest BEI values of their respective community. In the flow network, the strongest direct edge of D9 “Thoughts of death” was with D6 “Feeling of worthlessness.”ConclusionComplex fine-grained relationships exist between anxiety and depression in functionally impaired elderly individuals. “Uncontrollable worry,” “depressed or sad mood,” “irritable” and “concentration difficulties” are identified as the potential targets for intervention of anxiety and depression. Our study emphasizes the necessity of suicide prevention for functionally impaired elderly individuals, and the symptom “feeling of worthlessness” can be used as an effective target.

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Section: Limitationsmentioning

confidence: 99%

Network analysis of anxiety and depression in the functionally impaired elderly

Yang

Guo

Cao

et al. 2022

Front. Public Health

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“…PWB has been defined in terms of specific components of personal growth (including purpose in life, mastery, and self-acceptance) [ 14 ] and by the extent to which psychological needs, namely, autonomy, competence, and connectedness, have been met or thwarted (eg, by mental health symptoms) [ 15 ]. PWB also offers the advantage of being strongly correlated with psychopathology in youth but is also a distinct construct that may provide a basis for the prevention of mental health problems [ 16 ]. In addition, PWB has been identified as having strong transdiagnostic utility in predicting broad psychological outcomes across diverse populations [ 17 , 18 ].…”

Section: Introductionmentioning

confidence: 99%

Digital Interventions for Psychological Well-being in University Students: Systematic Review and Meta-analysis

Ferrari¹,

Allan²,

Arnold³

et al. 2022

J Med Internet Res

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Background Life at university provides important opportunities for personal growth; however, this developmental phase also coincides with the peak period of risk for the onset of mental health disorders. In addition, specific university lifestyle factors, including impaired sleep and academic and financial stress, are known to exacerbate psychological distress in students. As a result, university students have been identified as a vulnerable population who often experience significant barriers to accessing psychological treatment. Digital psychological interventions are emerging as a promising solution for this population, but their effectiveness remains unclear. Objective This systematic review and meta-analysis aimed to assess digital interventions targeting psychological well-being among university students. Methods Database searches were conducted on December 2, 2021, via Embase, MEDLINE, PsycINFO, and Web of Science. Results A total of 13 eligible studies were identified, 10 (77%) of which were included in the meta-analysis. Mean pre-post effect sizes indicated that such interventions led to small and significant improvement in psychological well-being (Hedges g=0.32, 95% CI 0.23-0.4; P<.001). These effects remained, albeit smaller, when studies that included a wait-list control group were excluded (Hedges g=0.22, 95% CI 0.08-0.35; P=.002). An analysis of acceptance and commitment therapy approaches revealed small and significant effects (k=6; Hedges g=0.35, 95% CI 0.25-0.45; P<.001). Conclusions Digital psychological interventions hold considerable promise for university students, although features that optimize service delivery and outcomes require further assessment. Trial Registration PROSPERO CRD42020196654; https:/www.crd.york.ac.uk/prospero/display_record.php?RecordID=196654

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“…Besides understanding the prevalence and sociodemographic correlates of youth mental health, understanding the association between youth depression and anxiety with psychological wellbeing factors is important because these factors can play a preventive and therapeutic role to circumvent the development of mental health problems (21,22). Because psychological wellbeing indices and youth mental health problems are inversely related, it may be possible to develop interventions that promote psychological wellbeing with the aim of preventing or reducing youth mental health problems (23). In line with this, one study found that the psychological wellbeing indices of social support, gratitude, happiness, and perceived control were negatively associated with both depression and anxiety symptoms (14).…”

Section: Depression and Anxiety Among Kenyan Adolescentsmentioning

confidence: 93%

Depression and Anxiety Symptoms Among Kenyan adolescents: Prevalence Rates and Associations with Socio-demographic and Psycho-social Factors During the COVID-19 Pandemic

Osborn¹,

Brenda²,

Johnson³

et al. 2022

Preprint

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Background: Research dedicated to youth mental health problems in low – resource countries is an urgent and critical global health priority. Prior to COVID-19, only a handful of studies had estimated the prevalence rates of youth depression and anxiety and identified the associations between these problems with socio-demographic and psychosocial variables. As COVID-19 has emerged as a stressor for youth mental health, new studies on youth mental health during and post COVID-19 may yield important research, policy, and practice implications. Here, we assessed the prevalence of depression and anxiety symptoms and their associations with psychosocial and sociodemographic variables in a large sample of school-going youths in Kenya. Method: Measures of depression (PHQ-8) and anxiety (GAD-7), social support, perseverance, optimism, perceived control, connectedness, happiness, purpose in life, and gratitude were administered to 1,498 Kenyan adolescents (55.47% male) aged 13-to-21 years (M age = 16.33) in mid-2021 when schools re-opened after the COVID–19 school closures. Results: Some 42.46% and 37.56% youths met the clinical cut-off for elevated depression and anxiety symptoms, respectively. Adolescents whose academic performance was not satisfactory endorsed higher depressive and anxiety symptoms. Female adolescents and those who lived with a single parent endorsed higher depressive and anxiety symptoms, respectively. Subjective wellbeing and perceived control were negatively associated with depressive symptoms.Conclusion: The prevalence of depression and anxiety symptoms among Kenyan adolescents has remained steady when compared to pre-pandemic studies. However, symptoms were high when compared to those of adolescents in other countries during COVID-19. This study also identified potential important risk and protective factors.

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Adolescent psychopathology and psychological wellbeing: a network analysis approach

Cited by 28 publications

References 65 publications

Network analysis of anxiety and depression in the functionally impaired elderly

Network analysis of anxiety and depression in the functionally impaired elderly

Digital Interventions for Psychological Well-being in University Students: Systematic Review and Meta-analysis

Depression and Anxiety Symptoms Among Kenyan adolescents: Prevalence Rates and Associations with Socio-demographic and Psycho-social Factors During the COVID-19 Pandemic

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