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BACKGROUND: Eating disorder (ED) research has embraced a network perspective of psychopathology, which proposes that psychiatric disorders can be conceptualized as a complex system of interacting symptoms. However, existing intervention studies using the network perspective have failed to find that symptom reductions coincide with reductions in strength of associations among these symptoms. We propose that this may reflect failure of alignment between network theory and study design and analysis. We offer hypotheses for specific symptom associations expected to be disrupted by an app-based intervention, and test sensitivity of a range of statistical metrics for identifying this intervention-induced disruption. METHODS: Data were analyzed from individuals with recurrent binge eating who participated in a randomized controlled trial of a cognitive-behavioral smartphone application. Participants were categorized into one of three groups: waitlist (n = 155), intervention responder (n = 49), and intervention non-responder (n = 77). Several statistical tests (bivariate associations, network-derived strength statistics, network invariance tests) were compared in ability to identify change in network structure. RESULTS: Hypothesized disruption to specific symptom associations was observed through change in bivariate correlations from baseline to post-intervention among the responder group but were not evident from symptom and whole-of-network based network analysis statistics. Effects were masked when the intervention group was assessed together, ignoring heterogeneity in treatment responsiveness. CONCLUSION: Findings are consistent with our contention that study design and analytic approach influence the ability to test network theory predictions with fidelity. We conclude by offering key recommendations for future network theory-driven interventional studies.
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BACKGROUND: We examine precursors of child emotional distress during the COVID-19 pandemic in a prospective intergenerational Australian cohort study. METHODS: Parents (N = 549, 60% mothers) of 934 1-9-year-old children completed a COVID-19 specific module in 2020 and/or 2021. Decades prior, a broad range of individual, relational and contextual factors were assessed during parents' own childhood, adolescence and young adulthood (7-8 to 27-28 years old; 1990-2010) and again when their children were 1 year old (2012-2019). RESULTS: After controlling for pre-pandemic socio-emotional behaviour problems, COVID-19 child emotional distress was associated with a range of pre-pandemic parental life course factors including internalising difficulties, lower conscientiousness, social skills problems, poorer relational health and lower trust and tolerance. Additionally, in the postpartum period, pre-pandemic parental internalising difficulties, lower parental warmth, lower cooperation and fewer behavioural competencies predicted child COVID-19 emotional distress. CONCLUSIONS: Findings highlight the importance of taking a larger, intergenerational perspective to better equip young populations for future adversities. This involves not only investing in child, adolescent, and young adult emotional and relational health, but also in parents raising young families.
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PURPOSE: Maternal perinatal social support is theorised to promote offspring social-emotional development, yet few studies have prospectively examined this relationship. Findings may inform preventative intervention efforts, to support a healthy start to emotional life. METHODS: This study examined whether maternal social support perinatally predicts infant social-emotional development at 12 months of age in two longitudinal cohort studies: The Australian Temperament Project (ATP) (n = 1,052 mother-infant dyads [653 mothers, M age_at_birth = 32.03, 88% Australian-born; 1,052 infants, 52% girls]) and The Triple B Pregnancy Cohort Study (Triple B) (n = 1,537 dyads [1,498 mothers, M age_at_birth = 32.53, 56% Australian-born; 1,537 infants, 49% girls]). Social support was assessed at pregnancy (third trimester) and eight-weeks post-birth. Infant social-emotional competencies (ATP: Brief Infant and Toddler Social and Emotional Assessment (BITSEA), Competencies Scale; Triple B: Bayley Scales of Infant and Toddler Development-Social Emotional Scale) and problems (ATP: BITSEA, Problems Scale; Triple B: Ages and Stages Questionnaires: Social-Emotional Scale), were assessed at 12-months of age. RESULTS: In ATP, social support was associated with lower offspring problems (pregnancy: ß = -0.15; post-birth: ß = -0.12) and greater competencies (pregnancy: ß = 0.12; post-birth: ß = 0.16) at 12 months. In Triple B, social support also predicted lower offspring problems (pregnancy: ß = -0.11; post-birth: ß = -0.07) and greater competencies (pregnancy: ß = 0.07) at 12 months. Findings did not indicate an association between support at eight-weeks post-birth and subsequent competencies (ß = 0.06). CONCLUSIONS: Evidence suggests that perinatal social support promotes healthy infant social and emotional development. These results underscore the critical importance of social support for mothers transitioning into parenthood.
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INTRODUCTION: Helplines are often the first contact with the alcohol and other drug (AOD) treatment system. We examined call data from an AOD helpline in Victoria, Australia, to explore the association between COVID-19 lockdown measures and frequency of calls. METHODS: This was a retrospective analysis of AOD helpline data collected between January 2018 and September 2020, for alcohol, methamphetamine and cannabis use concerns. Linear and logistic regression analyses examined differences in pre-COVID-19 (January 2018 to March 2020) and during COVID-19 (March 2020 to September 2020) caller characteristics, and interrupted time-series analyses examined changes in frequency of calls relative to lockdown measures. RESULTS: There were 14,340 calls for alcohol (n = 10,196, 71.10%), methamphetamine (n = 2522, 17.59%) and cannabis (n = 1622, 11.31%). Relative to pre-COVID-19, during COVID-19 there was an increase in the rate of change over time in number of alcohol calls (b = 0.39), increase in first-time alcohol callers (OR = 1.29), and reduction in first-time methamphetamine callers (OR = 0.80). During COVID-19, alcohol callers had lower Socio-Economic Indicators for Areas scores (b = -3.06) and cannabis callers were younger (b = -2.07). During COVID-19, there were reductions in alcohol calls involving counselling/support (OR = 0.87) and information provision (OR = 0.87), cannabis calls involving information provision (OR = 0.71) and methamphetamine calls involving referral (OR = 0.80). DISCUSSION AND CONCLUSIONS: In the first 6 months of the pandemic, frequency of alcohol-related calls increased over time, and first-time alcohol-related callers increased. The number of calls for cannabis and methamphetamine remained stable. Results suggest the helpline was not used to its full capacity, suggesting a role for further promotion during times of crises.
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Causal inference is often the goal of psychological research. However, most researchers refrain from drawing causal conclusions based on non-experimental evidence. Despite the challenges associated with producing causal evidence from non-experimental data, it is crucial to address causal questions directly rather than avoiding them. Here we provide a clear, non-technical overview of the fundamental concepts (including the counterfactual framework and related assumptions) and tools that permit causal inference in non-experimental data, intended as a starting point for readers unfamiliar with the literature. Certain tools, such as the target trial framework and causal diagrams, have been developed to assist with the identification and reduction of potential biases in study design and analysis and the interpretation of findings. We apply these concepts and tools to a motivating example from the body image field. We assert that more precise and detailed elucidation of the barriers to causal inference within one's study is arguably a key first step in the enhancement of non-experimental research and future intervention development and evaluation.
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Imagen Corporal , Humanos , Imagen Corporal/psicología , Proyectos de Investigación , CausalidadRESUMEN
BACKGROUND: Feelings of shame are linked to increased risk for depression. Little is known about protective factors that may buffer this effect, particularly in men. Using prospective data from a community sample of Australian men, we examine the extent to which shame is associated with depressive symptoms, and the protective role of psychological wellbeing, specifically environmental mastery and purpose in life. METHODS: Participants (n = 448) were from the longitudinal Men and Parenting Pathways (MAPP) Study. Measures were the Event Related Shame and Guilt Scale for shame, the DASS-21 for depressive symptoms and Ryff's Scales of Psychological Well-Being for environmental mastery and purpose in life. Linear regressions were used to test associations between shame and depressive symptoms concurrently and 1-year later, and the moderating effects of mastery and purpose in life. RESULTS: Shame was strongly associated with concurrent depressive symptoms (ßunadj = .76, p < .001; ßadj = .63, p < .001). This effect was weaker in men with high compared to low environmental mastery (ß+1SD = .46, p < .001; ß-1SD = .55, p < .001) and purpose in life (ß+1SD = .48, p < .001; ß-1SD = .62, p < .001). Shame also predicted subsequent depressive symptoms after adjustment for prior depressive symptoms (ßunadj = .59, p = .001; ßadj = .34, p = .004), although environmental mastery or purpose in life did not moderate these associations. CONCLUSIONS: Our findings suggest that promoting a sense of psychological wellbeing in men may confer protective proximal effects in the context of shame, potentially attenuating depression severity. The current study aligns with calls for strength-based approaches to reducing mental health problems in men.
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Objectives: This study aimed to compare talent development athletes to community-level athletes in Australian Rules Football across various markers of healthy youth development. Methods: Survey data were collected from 363 youth athletes (126 women, 232 men, 5 not reported; Mage=18.69 years, SDage=2.62 years, age range 16-25 years) playing Australian Rules Football at a talent development (recruited from Australian Football League Talent Pathway, n=220) or community (n=143) level. Measures included markers of physical health (eg, general health, risk-taking behaviours), psychological and emotional well-being (eg, mental health symptoms, life satisfaction), family and social relationships (eg, social support, relationship status), educational and occupational attainment/engagement (eg, career satisfaction, education), ethical behaviour (eg, moral self-image), civic engagement, life skills (eg, self-mastery, coping), and demographics. Results: Based on regression models, relative to community-level athletes, talent development athletes reported better physical health (d=0.51), lower injury rates (OR=0.50) and less problematic drug use (d=-0.46). Talent development athletes also reported better psychological and emotional well-being, evidenced by lower stress (d=-0.30), higher life satisfaction (d=0.47) and less problematic gambling (d=-0.34). Additionally, talent development athletes reported higher family support (d=0.49), lower likelihood of poor educational outcomes (less than expected educational stage; OR=0.37), lower intention to complete less than year 12 education (OR=0.18), higher career satisfaction (d=0.42), higher self-mastery (d=0.37) and higher perfectionistic striving (d=0.59). Conclusion: Findings demonstrate markers of healthier development within talent development athletes relative to community athlete peers. Investment in community-level sports may be warranted to improve healthy development. However, further causal evidence is required.