Depression is a leading source of morbidity and health loss in Australian women. This study investigates the determinants of antenatal depressive symptoms and postnatal depressive symptoms in an Australian population, including people from culturally and linguistically diverse (CALD) backgrounds. The study used a retrospective cohort of mothers of all live births in public health facilities in 2014 (N = 17,564) within South Western Sydney Local Health District and Sydney Local Health District in New South Wales, Australia. Prevalence of antenatal and postnatal depressive symptoms were estimated for the cohort. Multivariate logistic regression models were conducted to investigate the sociodemographic, psychological and health service determinants of antenatal and postnatal depressive symptoms, measured using the Edinburgh Postnatal Depression Scale (EPDS). The prevalence of antenatal and postnatal depressive symptoms was 6.2% and 3.3% of the cohort, respectively. Significant risk factors for maternal depressive symptoms during pregnancy were, a lack of partner support, history of intimate partner violence, being from the CALD population and low socioeconomic status. Self-reported antenatal depressive symptoms were strongly associated with postnatal depressive symptoms. Risk factors for postnatal depressive symptoms were similar to those for antenatal depressive symptoms, as well as assisted delivery. Factors relating to demographic and psychosocial disadvantage were associated with subsequent antenatal and postnatal depressive symptoms in New South Wales, Australia. Our study suggests that screening for probable depression and timely referral for expert assessment of at-risk mothers may be an effective strategy to improve maternal mental health outcomes.

Background: At the national level in Ethiopia, there is limited knowledge of trends and factors associated with early initiation of breastfeeding and exclusive breastfeeding (EBF), particularly during the Millenium Development Goal (MDG) era (2000–2015). The study aimed to examine the trends and determinants of early initiation of breastfeeding and EBF in Ethiopia between 2000 and 2016. Methods: Using the Ethiopia Demographic and Health Survey (EDHS) data for the years: 2000 (n = 3680), 2005 (n = 3528), 2011 (n = 4037) and 2016 (n = 3861), trends in early initiation of breastfeeding and EBF were estimated. Multivariate logistic regression models that adjusted for confounders, sampling weight, clustering and stratification were used to examine the association between socioeconomic, demographic, health service and community level factors with early initiation of breastfeeding and EBF from 2000 to 2016. Results: The prevalence of early initiation of breastfeeding increased from 48.8% in 2000 to 75.7% in 2016 in Ethiopia. Improvement in EBF prevalence was not statistically significant (from 54.5% in 2000 to 59.9% in 2016). Over the study period, informal maternal employment (Adjusted Odds Ratio [aOR] 0.75; 95% Confidence Interval [CI] 0.68, 0.83), frequent antenatal care visits (aOR 0.74; 95% CI 0.65, 0.85), and cesarean birthing (aOR 0.22; 95% CI 0.17, 0.30) were associated with delayed initiation of breastfeeding. Birthing in the health facility (aOR 1.35; 95% CI 1.05, 1.75) and residing in the metropolis region (aOR 1.95; 95% CI 1.65, 2.32) were associated with timely initiation of breastfeeding. In a similar period, informally employed mothers (aOR 1.37; 95% CI 1.15, 1.63) and those with six or more family size (aOR 1.46; 95% CI 1.10, 1.93) were more likely to exclusively breastfeed their babies. Conclusion: Early initiation of breastfeeding improved in Ethiopia during the MDG era but it is still below the national target; progress in EBF remained slow. To improve breastfeeding outcomes and meet the global breastfeeding targets in Ethiopia, infant feeding efforts should focus on improving key modifiable factors, including place and mode of birthing and socioeconomic status of mothers.

Despite recent declines, suicide remains a priority for China. Ease of availability of high-lethality suicide methods, such as pesticides and firearms, contributes to the overall incidence and is an important target for suicide prevention. This study investigates whether changes in the distribution of methods of suicide have contributed to the recent reduction in suicide in China. Suicide rates (2006-2013) were calculated using the Chinese Disease Surveillance Points system, stratified by gender, age group, and urban-rural residence, to investigate trends in suicide over the study period. Multilevel negative binomial regression models were used to investigate associations between socio-demographic factors and method-specific suicide. The most common method of suicide in China for both males and females was pesticide poisoning, followed by hanging. All methods declined over the study period, with the exception of suicide by jumping in males. Suicide rates for pesticide poisoning and for hanging increased exponentially with age in those aged over ≥45 years in both sexes. Pesticide poisoning declined from 55% to 49% of all suicides, while hanging increased from 27% to 31%. This was an ecological study of a time series of suicide rates, with risk factor adjustment being limited to population-level point estimates derived from a single census. Suicide by pesticide poisoning and hanging remain the leading methods of suicide in China. Changes to the safe use of pesticides and targeted prevention initiatives to restrict access, along with socio-economic development and urbanisation, are likely contributors to declines in suicide by pesticide poisoning.

Exclusive breastfeeding (EBF) has important benefits for both the mother and child. In India, no nationwide studies have examined patterns of EBF in the past decade to inform national and subnational breastfeeding programmes. The present study aimed to investigate the regional prevalence and determinants of EBF in India. This study used a total weighted sample of 21,352 from the 2015–2016 India National Family Health Survey. EBF was measured as the proportion of infants 0–5 months of age who received breast milk as the only source of nourishment, based on mother’s recall on feeds given to the infant 24 h before the survey. The prevalence of EBF and other breastfeeding patterns were estimated by region, and multivariable logistic regression that adjusted for clustering and sampling weights was used to investigate the association between the study factors (child, maternal, household, health service and community factors) and EBF by regional areas in India. This study indicated that wide differences in the prevalence of EBF and other childhood feeding practices exist across regions of India, where Southern India had the highest EBF prevalence (79.2%) and the North-East reported the lowest (68.0%). EBF prevalence decreased with infant age, dropping faster in the South (43.7% at 5 months) compared to the North-East region (54.0% at 5 months). Similarly, substantial variations in key determinants of EBF were evident by region, where higher birth order was the only common factor associated with non-EBF across all regions. Key modifiable determinants of non-EBF included higher maternal education in the South and belonging to rich households in Central India, while those for EBF were higher maternal education in the Central region and frequent antenatal care (≥ 4) visits in Northern India. This study demonstrates wide variations in regional prevalence and determinants of EBF in India. Improving EBF participation in India would require multifaceted national and subnational efforts that include dedicated funds and the establishment of appropriate policy and interventions that are consistently monitored and evaluated.

Globally, depressive disorders are one of the most common forms of mental illness. Using data from the most recent Global Burden of Disease, Injury, and Risk Factor Study 2016 (GBD 2016), we aimed to describe the burden of disease attributable to depressive disorders in terms of prevalence and disability-adjusted life years (DALYs) in South Asia countries (namely India, Pakistan, Bangladesh, Nepal and Bhutan). GBD 2016 used epidemiological data on depressive disorders (major depression and dysthymia) from South Asia and a Bayesian meta-regression tool (DisMod-MR 2.1) to model prevalence and DALYs of depressive disorders by age, sex, country and year. DALYs were calculated from the years lived with disability (YLDs), derived from the prevalence of depressive disorders and disability weights, obtained from a community and internet-based surveys. The analyses adjusted for comorbidity, data sources and multiple modelling, and estimates were presented with 95% uncertainty intervals (UI). In 2016, the age-standardised prevalence of depressive disorders in South Asia was 3.9% (95% UI: 3.6–4.2%), 4.4% (95% UI: 4.4–4.8%) in Bangladesh, 3.9% (95% UI: 3.6–4.2%) in India, 3.0% (95% UI: 2.8–3.3%) in Pakistan, 4.0% (95% UI: 3.7–4.3%) in Nepal and 3.7% (95% UI: 3.4–4.1%) in Bhutan. In South Asia, depressive disorders accounted for 9.8 million DALYs (95% UI: 6.8–13.2 million) or 577.8 (95% UI: 399.9–778.9) per 100,000 population in 2016. Of these, major depressive disorders (MDD) accounted for 7.8 million DALYs (95% UI: 5.3–10.5 million). India generated the largest numbers of DALYs due to depressive disorders and MDD, followed by Bangladesh and Pakistan. DALYs due to depressive disorders were highest in females and older adults (75–79 years) across all countries. Our findings show the substantial public health burden of depressive disorders in South Asian populations and healthcare systems. Given the scale of depressive disorders, improvement in overall population health is possible if South Asian countries prioritise the prevention and treatment of depressive disorders.