Dataset Information

Mental health trajectories after juridical divorce: Does personality matter?

ABSTRACT:

Introduction

This study investigated whether the Big Five personality dimensions were associated with mental health trajectories and/or intervention effects of a digital divorce intervention from juridical divorce to 12 months following juridical divorce. The study utilized a randomized controlled trial study design (N = 676) and measured mental health outcomes (anxiety, depression, somatization, and stress) at study inclusion (i.e., at juridical divorce) and 3-, 6-, and 12 months after juridical divorce. Big Five personality dimensions were measured 1 month post study inclusion.

Results

The study found that neuroticism is the personality dimension most predictive of post-divorce mental health outcomes. Specifically, divorcees with higher neuroticism scores indicated worse mental health immediately following divorce, but their symptom levels decreased more rapidly over a 12 months period after juridical divorce compared with lower neuroticism divorcees. It is also notable that their mean scores for the mental health outcomes remained higher at all time points (3, 6, and 12 months post baseline), relative to those lower in neuroticism.

Conclusion

Findings are discussed in light of divorce-adjustment-theory and the stress-buffering model.

SUBMITTER: Hald GM

PROVIDER: S-EPMC10083938 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature

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Publications

Mental health trajectories after juridical divorce: Does personality matter?

Hald Gert Martin GM Wimmelmann Cathrine Lawaetz CL Øverup Camilla S CS Cipric Ana A Sander Søren S Strizzi Jenna Marie JM

Journal of personality 20220622 2

<h4>Introduction</h4>This study investigated whether the Big Five personality dimensions were associated with mental health trajectories and/or intervention effects of a digital divorce intervention from juridical divorce to 12 months following juridical divorce. The study utilized a randomized controlled trial study design (N = 676) and measured mental health outcomes (anxiety, depression, somatization, and stress) at study inclusion (i.e., at juridical divorce) and 3-, 6-, and 12 months after ...[more]

PMID: 35656740

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Project description:ObjectivesAn individual's quality of employment over time has been highlighted as a potential determinant of mental health. With mental ill-health greatly contributing to work incapacities and disabilities in Belgium, the present study aims to explore whether mental health, as indicated by registered mental health-related disability, is structured along the lines of employment quality, whereby employment quality is assessed over time as part of individuals' labour market trajectories.MethodsUsing administrative data from the Belgian Crossroads Bank for Social Security over 16 quarters between 2006 and 2009, transitions between waged jobs of varying quality (based on dimensions of income, working time, employment stability and multiple jobholding), self-employment, and unemployment are considered among individuals in the labour force aged 30-40 at baseline (n = 41,065 women and 45,667 men). With Multichannel Sequence Analysis and clustering, we constructed ideal types of employment trajectories. Fitting Cox regressions, we then evaluated individuals' hazard of experiencing a disability from a mental disorder between 2010 and 2016.ResultsOur analysis highlights various gender-specific trajectories. Among both genders, individuals exposed to near-constant unemployment over the initial 4 years showed the highest hazard of subsequent mental health-related disability compared to a group characterised by stable full-time employment, single jobholding, and above-median income. Trajectories involving a higher probability of subsidised and non-standard employment and (potential) spells of unemployment and lower relative income were also strong predictors of cause-specific disabilities. Health selection and confounding might, however, be contributing factors.ConclusionsOur study shows a gradient of mental disorders resulting in a disability along trajectory types. Our findings highlight the predictive power of labour market trajectories and their employment quality for subsequent mental disorder-related disability. Future research should examine the mechanisms, including selection effects in this association.

Project description:Prevalence rates for mental health problems are higher when an individual's socioeconomic status (SES) is low, but the underlying mechanisms are not clearly understood. We investigated associations between education as indicator for SES and depressive symptoms as well as positive mental health (PMH). Moreover, we hypothesized that low education is associated with a lack of psychosocial resources and more daily hassles, which in turn mediate the relationships between education and mental health. In a German representative sample (N = 7937), we cross-sectionally first examined whether a person's educational level was associated with depressive symptoms and PMH. Educational level was defined as the highest academic qualification achieved. Second, we investigated whether also sense of control, resilience, delay of gratification, cultural activity and daily hassles followed gradients along the educational level. Third, we investigated whether they mediated the relationship between education and mental health. Results showed that depressive symptoms measured by items from the DASS-42 depression subscale were more prevalent for persons with a low educational level, PMH operationalized by the Positive Mental Health Scale was equally distributed, and all psychosocial characteristics followed the gradient of educational level. In addition, the group with a high school diploma was particularly burdened. Structural equation modeling indicated that the associations between education and mental health were mediated by all psychosocial characteristics and daily hassles, apart from the delay of gratification. In the group with the lowest educational level the model fit indices for depressive symptoms and PMH were acceptable (χ2 = 10007.243 (627), CFI = 0.869, RMSEA = 0.04 (90% CI [0.04, 0.04], SRMR = 0.05; and χ2 = 12779.968 (741), CFI = 0.86, RMSEA = 0.05 (90% CI [0.05, 0.05], SRMR = 0.05), respectively). The effect size Pm refers to the proportion of the total effect that is mediated by one or more variables ("M"), and the effect size of all indirect effects in the model for depressive symptoms was Pm = .80 and for PMH it was Pm = .68. The results support our hypotheses that low education is associated with less psychosocial resources, which in turn serve together with daily hassles as pathways between education and depressive symptoms as well as PMH. Building on these findings, longitudinal studies are necessary to investigate causality.

Dataset Information

Mental health trajectories after juridical divorce: Does personality matter?

Introduction

Results

Conclusion

Publications

Mental health trajectories after juridical divorce: Does personality matter?

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