Dataset Information

Patterns of depressive disorders across 13 years and their determinants among midlife women: SWAN mental health study.

ABSTRACT: Little is known about the course of depression in midlife women. This study aims to identify factors that distinguish risk factors for persistent or recurrent depression from those of a milder course across 13-years of follow-up.297 Black and White premenopausal women aged 42-52 were enrolled at the Study of Women's Health Across the Nation Pittsburgh site. Psychiatric interviews obtained information on lifetime psychiatric diagnoses at baseline and occurrences of depression annually. We identified four depression patterns: 91(31%) had Persistent/recurrent major depressive disorder (MDD), 27(9%) Single Episode MDD, 35(12%) Minor Depression (minD) only, 144(48%) No Depression. We compared baseline risk factors for the Persistent/recurrent MDD group with each of the other three.A lifetime history of major or minor depression (p-values =.001-.08) and 2+ very upsetting life events in the previous year (p-values=.003-.04) were more likely to be reported by women in the Persistent/recurrent group than in the other three. The Persistent/recurrent group was more likely to report a family history of depression (p=.03) than the MinD group, and to report current sleep problems (p=.002) at baseline than the Single Episode MDD group.Small numbers of women with minD or a Single Episode MDD. Childhood maltreatment and family depression history were retrospectively reported.A Persistent/recurrent depression course is common during midlife. In addition to personal and family histories of depression, providers of midlife health care should recognize that current sleep problems and recent very upsetting events are strong risk factors for a pernicious depression course.

SUBMITTER: Bromberger JT

PROVIDER: S-EPMC5077630 | biostudies-other | 2016 Dec

REPOSITORIES: biostudies-other

ACCESS DATA

Publications

Patterns of depressive disorders across 13 years and their determinants among midlife women: SWAN mental health study.

Bromberger Joyce T JT Kravitz Howard M HM Youk Ada A Schott Laura L LL Joffe Hadine H

Journal of affective disorders 20160705

<h4>Background</h4>Little is known about the course of depression in midlife women. This study aims to identify factors that distinguish risk factors for persistent or recurrent depression from those of a milder course across 13-years of follow-up.<h4>Methods</h4>297 Black and White premenopausal women aged 42-52 were enrolled at the Study of Women's Health Across the Nation Pittsburgh site. Psychiatric interviews obtained information on lifetime psychiatric diagnoses at baseline and occurrences ...[more]

PMID: 27455356

Similar Datasets

Project description:ImportanceSocial determinants of health (SDOH) influence child health. However, most previous studies have used individual, small-set, or cherry-picked SDOH variables without examining unbiased computed SDOH patterns from high-dimensional SDOH factors to investigate associations with child mental health, cognition, and physical health.ObjectiveTo identify SDOH patterns and estimate their associations with children's mental, cognitive, and physical developmental outcomes.Design, setting, and participantsThis population-based cohort study included children aged 9 to 10 years at baseline and their caregivers enrolled in the Adolescent Brain Cognitive Development (ABCD) Study between 2016 and 2021. The ABCD Study includes 21 sites across 17 states.ExposuresEighty-four neighborhood-level, geocoded variables spanning 7 domains of SDOH, including bias, education, physical and health infrastructure, natural environment, socioeconomic status, social context, and crime and drugs, were studied. Hierarchical agglomerative clustering was used to identify SDOH patterns.Main outcomes and measuresAssociations of SDOH and child mental health (internalizing and externalizing behaviors) and suicidal behaviors, cognitive function (performance, reading skills), and physical health (body mass index, exercise, sleep disorder) were estimated using mixed-effects linear and logistic regression models.ResultsAmong 10 504 children (baseline median [SD] age, 9.9 [0.6] years; 5510 boys [52.5%] and 4994 girls [47.5%]; 229 Asian [2.2%], 1468 Black [14.0%], 2128 Hispanic [20.3%], 5565 White [53.0%], and 1108 multiracial [10.5%]), 4 SDOH patterns were identified: pattern 1, affluence (4078 children [38.8%]); pattern 2, high-stigma environment (2661 children [25.3%]); pattern 3, high socioeconomic deprivation (2653 children [25.3%]); and pattern 4, high crime and drug sales, low education, and high population density (1112 children [10.6%]). The SDOH patterns were distinctly associated with child health outcomes. Children exposed to socioeconomic deprivation (SDOH pattern 3) showed the worst health profiles, manifesting more internalizing (β = 0.75; 95% CI, 0.14-1.37) and externalizing (β = 1.43; 95% CI, 0.83-2.02) mental health problems, lower cognitive performance, and adverse physical health.ConclusionsThis study shows that an unbiased quantitative analysis of multidimensional SDOH can permit the determination of how SDOH patterns are associated with child developmental outcomes. Children exposed to socioeconomic deprivation showed the worst outcomes relative to other SDOH categories. These findings suggest the need to determine whether improvement in socioeconomic conditions can enhance child developmental outcomes.

Project description:AimsThere is limited longitudinal research that has looked at the longer term incidence of depressive symptoms, comparing women with a hysterectomy to women without a hysterectomy. We aimed to investigate the association between hysterectomy status and the 12-year incidence of depressive symptoms in a mid-aged cohort of Australian women, and whether these relationships were modified by use of exogenous hormones.MethodsWe used generalised estimating equation models for binary outcome data to assess the associations of the incidence of depressive symptoms (measured by the 10-item Centre for Epidemiologic Studies Depression Scale) across five surveys over a 12-year period, in women with a hysterectomy with ovarian conservation, or a hysterectomy with bilateral oophorectomy compared with women without a hysterectomy. We further stratified women with hysterectomy by their current use of menopausal hormone therapy (MHT). Women who reported prior treatment for depression were excluded from the analysis.ResultsCompared with women without a hysterectomy (n = 4002), both women with a hysterectomy with ovarian conservation (n = 884) and women with a hysterectomy and bilateral oophorectomy (n = 450) had a higher risk of depressive symptoms (relative risk (RR) 1.20; 95% confidence interval (CI) 1.06-1.36 and RR 1.44; 95% CI 1.22-1.68, respectively). There were differences in the strength of the risk for women with a hysterectomy with ovarian conservation, compared with those without, when we stratified by current MHT use. Compared with women without a hysterectomy who did not use MHT, women with a hysterectomy with ovarian conservation who were also MHT users had a higher risk of depressive symptoms (RR 1.57; 95% CI 1.31-1.88) than women with a hysterectomy with ovarian conservation but did not use MHT (RR 1.17; 95% CI 1.02-1.35). For women with a hysterectomy and bilateral oophorectomy, MHT use did not attenuate the risk. We could not rule out, however, that the higher risk seen among MHT users may be due to confounding by indication, i.e. MHT was prescribed to treat depressive symptoms, but their depressive symptoms persisted.ConclusionsWomen with a hysterectomy (with and without bilateral oophorectomy) have a higher risk of new incidence of depressive symptoms in the longer term that was not explained by lifestyle or socio-economic factors.

Project description:AimIn this study, we aimed to identify the determinants of four different forms of mental health service usage (general health services, school counselling, telephone, and online services), and the number of mental health services accessed (single and multiple) by Australian adolescents aged 13-17 years. We also measured socioeconomic inequality in mental health services' usage following the concentration index approach within the same sample.Subject and methodsThe data came from the nationwide cross-sectional survey, Young Minds Matter (YMM): the second Australian Child and Adolescent Survey of Mental Health and Wellbeing. Random effect models were used to identify the factors associated with four different mental health services and the number of services accessed. Further, the Erreygers' corrected concentration indices for binary variables were used to quantify the socioeconomic inequality in each mental health service. The four services were the general health service (GP, specialist, psychiatrist, psychologist, hospital including emergency), school services, telephone counselling and online services.ResultsOverall, 31.9% of the total analytical sample (n = 2268) aged 13-17 years old visited at least one service, with 21.9% accessing a single service and 10% accessing multiple services. The highest percentage of adolescents used online services (20.1%), followed by general mental health services (18.3%), while school services (2.4%) were the least used service. Age, gender, family type and family cohesion statistically significantly increased the use of general health and multiple mental health service usage (p < 0.05). Area of residence was also found to be a significant factor for online service use. The concentration indices (CIs) were -0.073 (p < 0.001) and -0.032 (p < 0.001) for health and telephone services, respectively, which implies pro-rich socio-economic inequality.ConclusionAdolescents from low-income families frequently used general mental health services and telephone services compared to those who belonged to high-income families. The study concluded that if we want to increase adolescents' usage of mental health services, we need to tailor our approaches to their socioeconomic backgrounds. In addition, from a policy standpoint, a multi-sectoral strategy is needed to address the factors related to mental health services to reduce inequity in service utilisation.

Dataset Information

Patterns of depressive disorders across 13 years and their determinants among midlife women: SWAN mental health study.

Publications

Patterns of depressive disorders across 13 years and their determinants among midlife women: SWAN mental health study.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets