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PurposeLatent modelling was used to identify trajectories of depressive symptoms among low-income perinatal women in South Africa. Predictors of trajectories and the association of trajectories with child outcomes were assessed.MethodsThis is a secondary analysis of data collected among women living in Cape Town settlements (N = 446). Participants were eligible if pregnant and 18 years or older, and included in the analysis if allocated to the control arm (routine perinatal care). Participants were excluded in case of non-singleton birth and baby death. Follow-up assessments were at 2 weeks, 6-, 18-, and 36-month postpartum. Trajectories of depressive symptoms were based on the Edinburgh Postnatal Depression Scale scores until 18-month postpartum, using latent class growth analysis. Child physical, cognitive, socio-emotional, and behavioural outcomes were assessed at 18 and/or 36 months. Univariate and multivariate regressions were used to identify predictors of trajectories and differences in child outcomes.ResultsFour trajectories were identified: chronic low (71.1%), late postpartum (10.1%), early postpartum (14.4%), and chronic high (4.5%). Low social support, unwanted pregnancy, and risky drinking were associated with the chronic high trajectory; unemployment and HIV-positive status with the early postpartum trajectory; and intimate partner violence with the late postpartum trajectory. Weight-to-length and weight-for-age z-scores at 18 months, and weight-for-age z-scores, length-for-age z-scores, emotional symptom, and peer problem scores at 36 months differed across trajectories.ConclusionsSevere depressive symptoms in postpartum period have a lasting effect on child physical and socio-emotional outcomes. Multiple screening throughout pregnancy and 1-year postpartum is essential.

The aim of this study was to investigate the prevalence of depressive symptoms in secondary school students in Kampala, Uganda, and assess associations with demographic characteristics and living arrangements. In this cross-sectional study, 14- to 17-year-olds were recruited from six randomly selected schools in Kampala. Participants completed a questionnaire, covering demographic questions and the affective problems subscale of the Youth Self-Report (YSR) – a depression screening tool for minors. Scores range from 0 to 26; a minimum score of 9 and 8 for female and male participants, respectively, suggests depressive symptoms in the clinical range, according to standard (non-local) norms. Unadjusted logistic regressions were used to assess demographic (e.g., age, gender, religion, parental education) and family-related characteristics (e.g., living arrangements, household size) associated with symptoms of depression in the clinical range. In total, 503 participants were recruited, of which 26.6% had depressive symptoms in the clinical range (female: 32.5%, male: 18.1%; risk ratio [RR] = 1.79, 95% confidence interval [CI] [1.28, 2.51]). Those who reported living with only one parent (RR = 1.62, 95% CI [1.14, 2.30]) or another family member/friend (RR = 1.98, 95% CI [1.14, 2.30]) were at increased risk of depressive symptoms above clinical threshold compared with participants living with both parents. A quarter of urban low-risk school-going adolescents had depressive symptoms in the clinical range in Kampala; girls and adolescents not living with their parents were particularly vulnerable. It recommended that school staff be equipped with skills to identify students who may be at risk for depression and make appropriate referrals. [ABSTRACT FROM AUTHOR]