Magnitude of psychological distress and associated factors among war survivor women in Northern, Ethiopia, 2022: a community-based cross-sectional survey.

BACKGROUND: Civilian war and internal conflicts increase the incidences of mental health conditions among war survivors. It is crucial to assess war-related psychological consequences in war-affected areas in Ethiopia to intervene in the future. Thus, this study aimed to determine the magnitude of psychological distress and associated factors of psychological distress among war survivor women in Northern, Ethiopia. METHODS: A community-based cross-sectional survey was conducted, and 1596 war survivor women were recruited to participate using a face-to-face interviews with a census sampling technique from May 1-30, 2022. The psychological distress was assessed using a Kessler psychological distress scale (K10). Bi-variable and multi-variable logistic regression analyses were used, and variables with a p-value less than 0.05 in the multivariable analyses were considered statistically significant. RESULT: In this study, the response rate was 100% and the prevalence of psychological distress was 44.90% at a 95% CI: (42.40, 47.40). Psychological distress was significantly associated with the education of ability to read and write (AOR = 2.92; 95% CI: 2.12, 4.01), primary education and above (AOR = 3.08; 95% CI: 2.09, 4.54), housewife (AOR = 5.07; 95%CI: 2.64, 9.74), farmer (AOR = 8.92; 95%CI: 4.03, 19.70), emotional violence (AOR = 1.52; 95%CI: 1.05, 2.18), physical violence (AOR = 3.85; 95%CI: 2.37, 6.26) and sexual violence (AOR = 3.25; 95%CI: 1.98, 5.33) whereas being separate was protective for psychological distress (AOR = 0.38; 95%CI: 0.16, 0.92). CONCLUSION: The prevalence of psychological distress was found to be high. Therefore, women who are housewives, married, farmers, educated, and who have experienced violence must be the focus of governmental and private collaborative interventions to prevent war-related psychological morbidity and mortality.

Determinants of Malnutrition and its associated factors among pregnant and lactating women under armed conflict areas in North Gondar Zone, Northwest Ethiopia: a community-based study.

INTRODUCTION: Maternal malnutrition remains a major public health problem, particularly in low and middle-income countries and war-affected areas like Ethiopia. Malnourished pregnant and lactating women with low nutrient stores have babies with poor mental and physical development, increasing the risk of poor birth outcomes. Despite the fact that the majority of Ethiopian mothers are malnourished, there is little evidence in war-affected areas. Therefore, the objective of this study was to assess the prevalence of undernutrition and associated factors among pregnant and lactating mothers in the war affected area of North Gondar Zone, northwest Ethiopia. METHODS: A community-based cross-sectional study was conducted from April 10 to May 25, 2022. A multistage random sampling technique was used to select 1560 pregnant and lactating mothers. MUAC was to ascertain the outcome variable. Data was entered and analyzed by using EPI INFO version 3.5.3 and SPSS version 24, respectively. A multivariable logistic regression analysis was employed to identify the factors associated with acute malnutrition. An adjusted odds ratio (AOR) with a 95% confidence interval was used to show the strength of the association, while a P-value of 0.05 was used to declare the significance of the association. RESULTS: The prevalence of acute malnutrition among pregnant and lactating women was 34.3% at the 95% CI (31.9-36.8). The age of the mothers (AOR = 0.73; 95% CI: 0.54, 0.99), family size 6-8 (AOR = 1.21; 95% CI: 1.03, 1.82), and greater than or equal to 9 family sizes (AOR = 0.44; 95% CI: 0.19, 0.97), were significantly associated with acute malnutrition. CONCLUSIONS: In the current study, the prevalence of acute malnutrition among pregnant and lactating mothers is high in the study area. Mother's age and family size were factors associated with acute malnutrition in war-affected areas. As a result, mothers with large families will require special assistance to reduce the impact of malnutrition.