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Pregnancy termination is considered to have adverse effects on women's health and to have created financial, economic, and social problems in their lives. This study aimed to identify factors associated with pregnancy termination in Sri Lanka. The study used 2016 Sri Lanka Demographic and Health Survey (DHS) data of 16,323 ever-married women aged 15–49, who were clustered in selected enumerated areas. A binary logistic random intercept multilevel model was fitted to find the association between pregnancy termination and the predictor variables in this study. The overall pregnancy termination rate among Sri Lankan women was 16.14%. Increasing age of women was found to be associated with increasing odds of pregnancy termination. Women who were overweight or obese had higher odds of pregnancy termination, with 14% and 36%, respectively, compared to women with a normal weight. With increasing parity, the likelihood of pregnancy termination decreased. Women who used contraceptives had a 24% higher likelihood of pregnancy termination than those who refrained from using them. Cohabiting women had a 57% higher chance of pregnancy termination. Working women had 15% higher odds than unemployed women. Women who experienced domestic violence had a 14% higher odds of pregnancy termination than those who did not. Women from the Northern, Eastern, and North Central provinces had a lower likelihood of pregnancy termination compared to those from the Western province. Women in the urban sector were more likely to terminate their pregnancy than those in the estate sector. Further, women residing in households where indoor smoking was permitted had a 13% greater chance of ending their pregnancy compared to non-smoking households. The study highlights the importance of restructuring education related to health and well-being, family planning, and work-life balancing for both women and their partners, and developing and implementing or strengthening policies and laws related to mitigating pregnancy termination including domestic violence for women. [ABSTRACT FROM AUTHOR]

Under-five mortality (U5M) is considered a major public health issue directly impacts a country's development. This study analyzed the prognostic factors of U5M in Sri Lanka using data from the 2016 Demographic and Health Survey (DHS) of 8123 children. The study employed both a binary logistic regression model (BLRM) and a binary logistic random intercept multilevel model (BLRIMM) and compared the accuracy of each model's prediction percentage. The results showed that the BLRIMM had a higher correct prediction percentage (98.67%) compared to the BLRM (98.31%). The study found that children who were not breastfed (Odds Ratio (OR) = 116.74, 95% Confidence Interval (CI) = 62.97–216.41), were part of multiple births (OR = 3.73, 95% CI = 1.21–11.51), did not have a normal delivery (OR = 1.86, 95% CI = 1.11–3.12), were born to mothers who had experienced previous miscarriages or child loss (OR = 2.27, 95% CI = 1.26–4.11), and were born to mothers with a higher Body Mass Index (BMI) (OR = 1.05, 95% CI = 1.003–1.10) had higher odds of U5M. The odds of U5M were found to be lower among Buddhists (OR = 0.06, 95% CI = 0.01–0.50), Hindus (OR = 0.05, 95% CI = 0.01–0.46), and Roman Catholics (OR = 0.032, 95% CI = 0.003–0.307) compared to the "Other Religions" category in the dataset. The estimated covariance parameter of the random intercept (0.8231, p-value = 0.0405) indicated significant unobserved cluster-level variation in U5M. The study's results emphasize the importance of addressing religion related differences of U5M and improving maternal education regarding healthy lifestyle, proper food intake, the significance of breastfeeding, safe delivery methods, safety measures during pregnancy and childbirth in cases of multiple births, and proper child care after birth. [ABSTRACT FROM AUTHOR]