Objective: Postpartum depression is a common mental illness that affects lactating women. This not only makes daily activities difficult for them, but it also affects child’s future lives. There is little evidence of about postpartum depression and its factors in East African countries, which piqued the authors’ interest in conducting a study on this matter for future decision- and policy-making. Methods: The protocol for Preferred Reporting Items for Systematic Reviews and Meta-Analyses was followed. To identify published articles, all major databases such as PubMed/MEDLINE, WHOLIS, Cochrane Library, Embase, PsycINFO, ScienceDirect, Web of Science, and reference lists were used. In addition, shelves, author contact, Google and Google Scholar were also used to identify unpublished studies. Joanna Briggs Institute—Meta-Analysis of Statistical Assessment and Review Instrument was used for critical appraisal of studies. STATA software version 14 was used for the analysis. The random-effect model was used to estimate postpartum depression with 95% confidence interval, while subgroup analysis and meta-regression were used to identify potential sources of heterogeneity and associated factors, respectively. Furthermore, Egger’s test and trim-and-fill analysis were used to check for publication bias. Results: Postpartum depression was found in 24% of lactating women in East African countries (95% confidence interval: 17.79–30.20). Postpartum depression was associated with being married (odds ratio = 2; 95% confidence interval: 1.05–3.81), domestic violence (odds ratio = 6.34; 95% confidence interval: 4:11–9.78), a lack of support (odds ratio = 6.59; 95% confidence interval: 1.98–21.89), and a lack of empowerment (odds ratio = 2.79; 95% confidence interval: 1.12–6.92). Conclusion: In East Africa, the prevalence of postpartum depression among lactating women is high and rising, as per global postpartum depression estimates. Therefore, the primary focus should be on women’s domestic violence prevention mechanisms. Existing national policies and development agendas must prioritize strategies for women’s support and empowerment. Future research into the relationship between marriage and postpartum depression is required.
Introduction: Currently, nutritional rickets has become a concern of many nutrition experts in many countries. Sunlight is the best and most reliable Source of vitamin D. Since, there is scarce information regarding infant sunlight exposure practice and the determinant factors. Hence, this study aimed to assess mothers’ infant sunlight exposure, practice level, and associated factors. Methods: A community-based cross-sectional study was conducted on 884 mothers from March 20 to April 4, 2017. Through the multi-stage simple random sampling method, the study areas had selected. The data were collected using a structured and pre-tested questionnaire and were entered into Epidata version 3.1 and exported to SPSS version 20 for analysis. The strength of association was measured using binary logistic regression at a 95% CI odds ratio. Finally, P < .05% was declared statistically significant. Results: From 884 infant coupled mothers, 866 were recruited in the study with a response rate of 97.9%. Only 44% of mothers had good practice of infant sunlight exposure. In multivariate analyses; Knowledge status (AOR = 1.4, 95% CI: 1.0-1.9), Attitude status (AOR = 1.4, 95% CI: 1.1-1.9), mothers age group (AOR = 8.6, 95% CI: 5.1-14.4), mothers educational status (AOR = 5.2, 95% CI: 1.6-16.9), delivery at health facility (AOR = 1.5, 95% CI: 1.0-2.1), and friend influence (AOR = 1.6, 95% CI: 1.2-2.1) were significantly associated with maternal exposure status of their infants to sunlight. Conclusion: This finding showed that the majority of the mothers did not expose their infants to sunlight appropriately. The mother’s knowledge, attitude, educational status, institutional delivery, and friend influence were the significant factors and needs to work on these.
Introduction: Currently, nutritional rickets has become a concern of many nutrition experts in many countries. Sunlight is the best and most reliable Source of vitamin D. since there is scarce information regarding infant sunlight exposure practice and the determinant factors. The study assessed mothers’ infant sunlight exposure, practice level, and associated factors. Methods: a community-based cross-sectional study was conducted on 884 mothers from March 20 to April 04/2017. Through the multi-stage simple random sampling method, the study areas had selected. The data were collected using a structured and pre-tested questionnaire and were entered into Epidata version 3.1 and exported to SPSS version 20 for analysis. The strength of association was measured using binary logistic regression at a 95% CI odds ratio. Finally, P-value < 0.05% was declared statistically significant.Results: Out of the study participants, 866 (97.9%) were interviewed. Only 44% of mothers had good practice of infant sunlight exposure. In multivariate analyses; Knowledge status [AOR=1.4, 95% CI: (1.0-1.9)], Attitude status [AOR=1.4, 95% CI: (1.1-1.9)] , mothers age group [AOR= 8.6, 95% CI:(5.1-14.4)] ,mothers educational status [AOR= 5.2, 95% CI: (1.6-16.9), delivery at health facility [AOR= 1.5, 95% CI: (1.0-2.1)], and friend influence [AOR= 1.6, 95% CI: (1.2-2.1)] were significantly associatiated with the practice level of infant sunlight exposure. Conclusion: This finding showed that the majority of the mothers did not expose their infants to sunlight appropriately. The mother's knowledge, attitude, educational status, institutional delivery, and friend influence were the significant factors and needs to work on these.
Introduction: Community-based management of acute malnutrition is implementing in Ethiopia. But there is scarce information in our study set up regarding the time to recovery and its predictors of SAM among 6-59 months children, so this study aimed to assess the time to recovery and its predictors of uncomplicated SAM among 6-59children managed at the OTP in north Shewa zone, Ethiopia.Methods: A health post-based prospective follow-up study had conducted on 6-59months children from November 20/2020 – February 20/2021. A total of 423 children had included in the study. A structured interviewer-administered questionnaire had used. The median time to recovery had calculated using the Kaplan Meier (KM) curve. The predictors of time to recovery were determined using both bi-variable and multi-variable Cox regression models with a 95% confidence interval (CI). Finally, the variable that had a p-value < 0.05 in the multi-variable analysis was declared as the predictors of time to recovery. Proportional hazard assumption was checked graphically and using Schoenfeld residual test.Result: From the total 423 Children, 327 (77.3%) recovered. The median time to recovery was 42 + IQR of 14 days. Children from food secure households; AHR= 9.6 with 95% CI (8.1-18.5), mild food insecure; AHR= 6.5 with 95% CI (3.1, 13.8), moderate food insecure; AHR= 2.5 with 95% CI (1.2-5.3). Mothers who traveled less than 2 hours walking distance to the health post; AHR=2.6 with 95% CI (1.8-18.7). Children who received the correct dose of the RUTF AHR=1.6 with 95% CI (1.1-2.3), children who measured their weight weekly AHR= 1.5 with 95% CI (1.1-2.0), and children treated by health extension worker who took the Nutrition-related training AHR= 2.1 with 95% CI (1.0-4.5) were predictors of time to recovery. Conclusion and recommendation: The median time to recovery was within the acceptable range of the Ethiopian protocol for the management of uncomplicated SAM in the Outpatient setup. Household food security status, the distance between home and health posts, the correct dose of RUTF, weekly weight measurement per protocol, and HEWs nutrition-related training status were the significant predictors of time to recovery. It is advisable to improve the household food security status, and the Health extension worker's (HEWs) nutrition-related training.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.