Genetic and environmental influences on interpersonal cognitions and associations with depressive symptoms in 8-year-old twins (original) (raw)
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Commentary: Socioeconomic Position and Common Mental Disorders: What Do We Need to Know?
International journal of epidemiology, 2007
Studies of the association between socioeconomic status and mental disorders have a long history and one early example is the 1939 Chicago study conducted by Faris and Dunham.1 These researchers used aggregate data and reported an association between admission for schizophrenia and living in a deprived neighbourhood. Later studies on the association between severe mental disorders and socioeconomic status generally confirmed these early observations.2 The controversy remained on the explanation of this finding with two competing explanations (social causation vs social selection/social drift). There are arguments in favour of both2, although recent epidemiological research has challenged the more traditional social drift hypothesis.3 Common mental disorders is a term mainly used in Britain to denote mild forms of neurotic disorder composed from symptoms of depression and anxiety.4 These are distinguished from the more severe mental disorders. The concept of common mental disorders has proved useful in epidemiological research and is often measured with simple self-reported questionnaires like the 12 item general health questionnaire (GHQ-12) or the mental health index of the short form health survey (SF-36). More specific psychiatric syndromes included in the concept of common mental disorders are major depression and specific anxiety disorders such as panic disorder, social phobia or obsessive compulsive disorder. Operational diagnostic criteria for these more specific diagnoses have been published from WHO (ICD-10) or the American Psychiatric Association (DSM-IV) and tested in various epidemiological surveys around the world.5,,6 Although there is a high correlation between general measures of psychological distress and more specific psychiatric syndromes, one should not assume that associations elicited with simple scales should apply to more specific syndromes or vice versa.... continued
Socio-economic position and common mental disorders
British Journal of Psychiatry, 2006
BackgroundIndividuals in lower socio-economic groups have an increased prevalence of common mental disorders.AimsTo investigate the longitudinal association between socio-economic position and common mental disorders in a general population sample in the UK.MethodParticipants (n=2406) were assessed at two time points 18 months apart with the Revised Clinical Interview Schedule. The sample was stratified into two cohorts according to mental health status at baseline.ResultsNone of the socio-economic indicators studied was significantly associated with an episode of common mental disorder at follow-up after adjusting for baseline psychiatric morbidity. The analysis of separate diagnostic categories showed that subjective financial difficulties at baseline were independently associated with depression at follow-up in both cohorts.ConclusionsThese findings support the view that apart from objective measures of socio-economic position, more subjective measures might be equally important ...
Social Psychiatry and Psychiatric Epidemiology
Purpose To investigate whether low parental socioeconomic position (SEP) at birth is associated only with earlyonset depressive symptoms in offspring. Methods This prospective cohort study used data on 9193 individuals (4768 females, 4425 males) from the Avon Longitudinal Study of Parents and Children. Depressive symptoms during three age periods (10-12, 12-16, 16-20 years) were assessed using the Short Mood and Feelings Questionnaire, and ICD-10 depression at age 18 was assessed using the Clinical Interview Schedule-Revised. Results Low SEP was associated with increased incidence rates of depressive symptoms in all age periods, with indicators of low standard of living showing the strongest associations. For instance, incidence rate ratios for material hardship were 1.75 (95% CI [1.42-2.15]) at 10-12 years, 1.36 (1.16-1.61) at 12-16 years and 1.39 (1.21-1.59) at 16-20 years. Low SEP was also associated with increased odds of ICD-10 depression at 18 years, ranging from OR = 1.20 (95% CI [0.94-1.52]) for manual social class to 1.74 (1.35-2.24) for material hardship. Conclusions There was no evidence that depressive symptoms can be ''subtyped'' by the age of onset, because the association with low SEP was evident for early-and later-onset symptoms. If socioeconomic inequalities in early life have long-term adverse impacts on mental health, policies addressing these inequalities could benefit the mental health of the population.
Social Science & Medicine, 2012
The existence of a direct effect of early socioeconomic position (SEP) on adult mental health outcomes net of adult SEP is still debated. This question demands the explicit modeling of pathways linking early SEP to adult SEP and mental health. In light of this background, we pursue two objectives in this study. First, we examine whether depressive symptoms in adulthood can be fit in a trajectory featuring both an intercept, or baseline range of depressive symptoms that varied between individuals, and a slope describing the average evolution of depressive symptoms over the years. Second, we estimate the direct and indirect pathways linking early SEP, respondents' education and adult household income, with a particular focus on whether early SEP retains a significant direct effect on the trajectory of depressive symptoms once adult SEP is entered into the pathway model. Drawing from 29 years of cohort data from the National Longitudinal Survey of Youth 1979, a survey that has been following a national probability sample of American civilian and military youth (Zagorsky and White, 1999), we used structural equation models to estimate the pathways between parents' education, respondent's education, and latent growth curves of household income and depressive symptoms. We found that the effect of parents' education was entirely mediated by respondent's education. In turn, the effect of respondent's education was largely mediated by household income. In conclusion, our findings showed that the socioeconomic attainment process that is rooted in parents' education and leads to respondent's education and then to household income is a crucial pathway for adult mental health. These results suggest that increasing educational opportunities may be an effective policy to break the intergenerational transmission of low socioeconomic status and poor mental health.
PLoS ONE, 2022
A substantial body of evidence suggests that young people, including those at the crucial transition points between 16 and 24, now face severe mental health challenges. In this article, we analyse data from 10 waves of a major UK longitudinal household cohort study, Understanding Society, to examine the relationship between income and anxiety and depression among 16-to 24-yearolds. Using random effects logistic regression (Model 1) allowing for whether the individual was depressed in the previous period as well as sex, age, ethnicity, whether the individual was born in the UK, region, rurality, highest qualification, marital status, employment status and attrition, we find a significant and inversely monotonic adjusted association between average net equivalised household income quintiles and clinical threshold levels of depressive symptoms SF-12 Mental Component Summary (MCS score ≤45.6). This means that being in a higher income group is associated with a reduced likelihood of clinically significant depressive symptoms, allowing for observable confounding variables. Using a 'within-between' model (Model 2), we find that apart from among those with the very highest incomes, increases in average net equivalised household income over the course of childhood and adolescence are significantly associated with reduced symptoms of anxiety and depression as measured by a higher SF-12 MCS score. Compared with previous reviews, the data presented here provides an estimate of the magnitude of effect that helps facilitate microsimulation modelling of impact on anxiety and depression from changes in socioeconomic circumstances. This enables a more detailed and complete understanding of the types of socioeconomic intervention that might begin to address some of the causes of youth mental health problems.
Negative socioeconomic changes and mental disorders: a longitudinal study
Journal of Epidemiology & Community Health, 2014
There is increasing interest on whether the current global economic uncertainties have an influence on the population's mental health. In this paper, we examined the association of negative socioeconomic changes, job loss and household income reductions with incident mental disorders. The moderating effect of gender was assessed. Data come from the Netherlands Mental Health Survey and Incidence Study-2 (NEMESIS-2), a representative population-based, longitudinal study. Individuals with a paid job and without a 12-month mental disorder at baseline were selected and reassessed 3 years later (2007-2009/2010-2012). Substantial household income reductions and not being at a paid job anymore were self-reported at follow-up. Multivariate logistic models were utilised to investigate the association between these negative socioeconomic changes and the incidence of mood, anxiety and substance use Diagnostic and Statistical Manual-IV disorders assessed by the Composite International Diagnostic Interview 3.0. After 3 years, 6% had lost their job, 11% had a substantial household income reduction and 12.2% had developed a mental disorder. Household income reductions increased the risk of any mental disorder (aOR=1.77), particularly the risk of mood (aOR=2.24). Job loss increased the risk of mood disorders (aOR=2.02). Gender modified the relationship: job loss increased the risk of any mental disorder among men (aOR=3.04) and household income reductions did so among women (aOR=2.32). Negative socioeconomic changes occurring within a short time period significantly increased the risk of incident mental disorders, particularly of mood disorders. Effective interventions to alleviate the public mental health impact of negative socioeconomic changes on men and women are needed.