Identifying depressive symptom trajectory groups among Korean adults and psychosocial factors as group determinants

Association between family conflict resolution methods and depressive symptoms in South Korea: a longitudinal study

We investigated the relationship between family conflict resolution and depression, focusing on each component of family conflict resolution to determine which factors have stronger associations with depression. We used data from 2008 to 2015 of the Korea Welfare Panel Study. Our final sample included 3565 participants. For each participant, we included at least 2-8 years of follow-up data with a mean follow-up time of 4.05 ± 2.52 years. To identify the relationship between new-onset depressive symptoms and participants' family conflict resolution styles, we performed generalized estimating equation analysis with autoregressive working correlations to estimate adjusted odds ratios for new-onset depressive symptoms adjusted for covariates. Compared with positive family conflict resolution, negative family conflict resolution had a higher odds ratio for depressive symptoms (aOR 1.80, 95% CI 1.42-2.29). This relationship was strongly founded on participants who were women (aOR 2.35, 95% CI 1.55-3.94) with experience of verbal aggression (aOR 1.84, 95% CI 1.42-2.37) and threatening behaviors (aOR 1.89, 95% CI 1.25-2.85). Negative family conflict resolution has long-term associations with an elevated risk of depressive symptoms. In particular, we observed higher risks of depression with verbal and psychological conflict than with physical conflict. Health care providers and health policymakers should support the management and development of methods for dealing with family conflict to improve mental health at a family level, as well as an individual level.

Co-occurrence of depressive, anxiety, and somatic symptoms: trajectories from adolescence to midlife using group-based joint trajectory analysis

BACKGROUND

Co-occurrence of mental and somatic symptoms is common, and recent longitudinal studies have identified single trajectories of these symptoms, but it is poorly known whether the symptom trajectories can also co-occur and change across the lifespan. We aimed to examine co-occurring symptoms and their joint trajectories from adolescence to midlife.

METHODS

Longitudinal data were derived from Northern Sweden, where 506 girls and 577 boys aged 16 years participated at baseline in 1981 (99.7% of those initially invited), and have been followed up in four waves until the age of 43. Survey data were collected about depressive, anxiety, and somatic symptoms. Potential joint development of this three-component symptom set was examined with multiple response trajectory analysis, a method that has not been previously used to study co-occurrence of these symptoms.

RESULTS

We identified a five trajectory solution as the best: "very low" (19%), "low" (31%), "high" (22%), "late sharply increasing" (16%) and a "very high increasing" (12%). In the "late sharply increasing" and "very high increasing" groups the scores tended to increase with age, while in the other groups the levels were more stable. Overall, the results indicated that depressive, anxiety, and somatic symptoms co-exist from adolescence to midlife.

CONCLUSIONS

The multiple response trajectory analysis confirmed high stability in the co-occurrence of depressive, anxiety, and somatic symptoms from adolescence to midlife. Clinicians should consider these findings to detect symptoms in their earliest phase in order to prevent the development of co-occurring high levels of symptoms.

Modeling Health Disparities and Outcomes in Disenfranchised Populations

The Health Disparities and Outcomes (HDO) model originally created to explain the complexity of obtaining healthcare in rural settings has been revised and updated using emerging theoretical models of adversity and inequity and two decades of empirical work by the authors. With a strong orientation to explaining population-based health inequities, the HDO is applied to individuals with Serious Mental Illness (SMI), to explain their high rates of morbidity and mortality compared to the general population. Individual-, community-, and system-level factors that reflect an understanding of life-long risk, accrued hazards associated with multiple and intersecting disadvantages, and difficulty obtaining healthcare that meets accepted standards are described. The revised HDO can be applied to populations with disproportionate health challenges to identify multi-level factors that affect illness trajectory and overall health outcomes.