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Objective: To assess the effect of food insecurity on perinatal depression in rural Ethiopia. Design: We used a prospective cohort in which food insecurity was considered as primary exposure and perinatal depression as an outcome. Food insecurity at baseline (in the period of 8–24 weeks of pregnancy) was measured using the Household Food Insecurity Access Scale (HFIAS), and perinatal depression at follow-up (in 32–36 weeks of pregnancy) was measured using a Patient Health Questionnaire (PHQ-9). We used multivariable regression to assess the effect of food insecurity on the prevalence of perinatal depression. We explored food insecurity's direct and indirect impacts on perinatal depression using structural equation modelling (SEM). Setting: This paper used data from the Butajira Nutrition, Mental Health and Pregnancy (BUNMAP) cohort established under the Butajira Health and Demographic Surveillance Site (BHDSS). Participants: Seven hundred and fifty-five pregnant women. Results: Among the study participants, 50 % were food-insecure, and about one-third were depressed at 32–36 follow-up. In SEM, higher values of baseline food insecurity, depressive symptoms and state–trait anxiety (STA) were positively and significantly associated with perinatal depression. The direct impact of food insecurity on perinatal depression accounts for 42 % of the total effect, and the rest accounted for the indirect effect through baseline depression (42 %) and STA (16 %). Conclusion: The significant effect of food insecurity at baseline on perinatal depression and the indirect effect of baseline food insecurity through baseline anxiety and depression in the current study implies the importance of tailored interventions for pregnant women that consider food insecurity and psychosocial problems. [ABSTRACT FROM AUTHOR]

Human-induced land degradation and impairment of ecosystem services (ES) are among the serious problems in Ethiopia due to excessive pressure on land and water resources. Thus, various land management (LM) practices have been done to enhance ES and environmental sustainability. However, very little is known about the influence of efficacious LM practices on multiple ES. This study aims at assessing the implication of LM practices on crop yield, soil carbon stock, soil fertility, soil moisture, runoff, soil loss, nutrient loss, and cultural/societal services. A systematic review and synthesis methods were employed. Predefined criteria were used to screen relevant articles; thereby, 572 observations from 94 studies were extracted and synthesized. The results showed that agronomic practices increased grain yields, soil carbon stock, soil fertility, and soil moisture on average by 28, 29, 43 and 14%, respectively. Biological practices regulated runoff, soil loss, and nutrient loss on average by 46, 59 and 94%, respectively. Overall, LM practices were efficacious to enhance delivery of ES bundles but soil bund and fanyaa juu reduced the grain yield on average by 24 and 22%, respectively. This indicates that there are trade-offs between provisioning and other services like regulating, supporting and cultural under physical structures. However, landscape-level collective impact of different LM practices exhibited without any ES trade-offs. The integration of properly designed physical structures with agronomic and biological practices is imperative to enhance ES and balance the trade-offs in the agricultural landscapes. Further, it is important to find out alternative combinations of agricultural LM practices and evaluate for ES delivery. [ABSTRACT FROM AUTHOR]