Background: Physical activity (PA) surveillance, policy, and research efforts need to be periodically appraised to gain insight into national and global capacities for PA promotion. The aim of this paper was to assess the status and trends in PA surveillance, policy, and research in 164 countries. Methods: We used data from the Global Observatory for Physical Activity (GoPA!) 2015 and 2020 surveys. Comprehensive searches were performed for each country to determine the level of development of their PA surveillance, policy, and research, and the findings were verified by the GoPA! Country Contacts. Trends were analyzed based on the data available for both survey years. Results: The global 5-year progress in all 3 indicators was modest, with most countries either improving or staying at the same level. PA surveillance, policy, and research improved or remained at a high level in 48.1%, 40.6%, and 42.1% of the countries, respectively. PA surveillance, policy, and research scores decreased or remained at a low level in 8.3%, 15.8%, and 28.6% of the countries, respectively. The highest capacity for PA promotion was found in Europe, the lowest in Africa and low- and lower-middle-income countries. Although a large percentage of the world’s population benefit from at least some PA policy, surveillance, and research efforts in their countries, 49.6 million people are without PA surveillance, 629.4 million people are without PA policy, and 108.7 million live in countries without any PA research output. A total of 6.3 billion people or 88.2% of the world’s population live in countries where PA promotion capacity should be significantly improved. Conclusion: Despite PA is essential for health, there are large inequalities between countries and world regions in their capacity to promote PA. Coordinated efforts are needed to reduce the inequalities and improve the global capacity for PA promotion.

Background: Globally, Millions of people cannot use health services because of the fear of payment for the service at the time of service delivery. From the agenda of transformation and the current situation of urbanization as well as to ensure universal health coverage implementing this program to the urban resident is mandatory. The aim of this study is to assess the willingness of community-based health insurance (CBHI) uptake and associated factors among urban residents of Oromia regional state, Oromia, Ethiopia, 2018. Methods: A community-based cross-sectional study was conducted. From the total of eighteen towns; six towns which account for 33% of the total were selected randomly for the study. One population proportion formula was employed to get a total of 845 households. A pre-tested, semi-structured interviewer-administered questionnaire was used to collect the required data. Double-Bounded Dichotomous Choice Variant of the contingent valuation method was used to assess the maximum willingness to pay for the scheme, and a multiple logistic regression model was used to determine the effect of various factors on the willingness to join and willingness to pay for the households. Result: About 839 (99.3%) of the respondents participated. The mean ages of the respondents were 40.44(SD ± 11.12) years. 621 (74.1%) ever heard about CBHI with 473 (56.3%) knowing the benefits package. Out of 839, 724 (86.3%) were willing to uptake CBHI of which 704 (83.9%) were willing to pay if CBHI established in their town. Conclusion: If CBHI established about 86.3% of the households would enroll in the scheme. Having education, with a family size between 3 & 6, having difficulty in paying for health care and less than 20mins it took to reach the nearest health facility were the independent predictors of the willingness of CBHI uptake. The Oromia and Towns Health Bureau should consider the availability of health facilities near to the community and establishing CBHI in the urban towns.

Purpose: To assess survival patterns and predictors of mortality among patients admitted with COVID-19 to treatment centers in the Oromia region of Ethiopia from April 1 to August 31, 2021. Methods: A prospective cohort study design was employed, taking a sample of 854 patients selected from eight treatment centers in the region. The follow-up duration was the time interval from admission to the treatment center until the final disposition of patients at discharge (death, recovery, or failed to recover). Data were collected by computer tablet with an interviewer-administered questionnaire and checklist designed using CSPro 7.5 and exported to Stata 13 for analysis. Descriptive analysis was used to explore the characteristics of patients. The mortality rate was estimated by number of deaths per 1,000 person-days of observation. The survival duration was estimated by medians with IQR. The Kaplan–Meier method was used to compare the survival experiences of patients. To identify the predictors of time to death after hospitalization, a Cox proportional-hazard model was used. The magnitude of association was estimated using HRs with 95% CIs, and statistical significance was set at P< 0.05. Results: The mortality rate among hospitalized patients was 9.9 per 1,000 person-days of observation and the median survival time after admission was 9 (IQR 9– 10) days. Higher hazard of death was observed among patients who drank alcohol (AHR 2.0, 95% CI 1.2– 3.3), required anticoagulants (AHR 10, 95% CI 1.2– 91.5), glucocorticoids (AHR 1.7, 95% CI 1.1– 2.8), and oxygen (AHR 4.7, 95% CI 1.1– 22.0), those with acute respiratory distress syndrome (AHR 2.9, 95% CI 1.7– 5.1), and critical patients admitted to intensive care units (AHR 3.4, 95% CI 2.0– 5.9). Conclusion: The hazard of death is significantly predicted by alcohol use, requiring anticoagulants, glucocorticoids, or oxygen medication, acute respiratory distress syndrome complication, and being critical when admitted to intensive care units.

Background: Understanding the factors influencing 24-hour movement behaviors is important for designing appropriate health promotion strategies. We examined the multidimensional correlates of physical activity, sedentary behavior, screen time, and sleep among children under 5 years of age in Ethiopia. Methods: Cross-sectional study conducted in Adama and Lume district, Ethiopia. Children were recruited from urban kindergartens and rural villages. Physical activity, sedentary time, and sleep were assessed using accelerometry. Screen time and correlates were parent reported. Variables were selected a priori, using the social ecological model and considering country context. Linear mixed models were used to test associations between child-, family-, and community-level correlates and time spent in 24-hour movement behaviors, accounting for clustering effect. Results: Four hundred and thirty children participated (mean age 4.2 [0.6] y). Girls spent less time in total of physical activity (TPA) and moderate- to vigorous-intensity physical activity (MVPA) and more time sedentary than boys. Children who spent more time outdoors had higher TPA and MVPA, longer sleep duration, and shorter sedentary and screen time. Children of educated parents had lower TPA and MVPA and higher sedentary time than those with no formal education. Children of parents who reported using a screen device with their child for educational purposes spent less time in MVPA, had shorter sleep, and had more screen time than those who did not. Rural children had higher TPA and MVPA, longer sleep, and shorter sedentary and screen time than urban children. Conclusion: We identified key correlates of 24-hour movement behaviors in Ethiopian children. Designing tailored health promotion strategies to support healthy levels of movement behaviors, particularly in urban areas, is needed.

Underweight affects the overall clinical outcome and quality of life and increases the risk of mortalities in Human immunodeficiency virus and acquired immunodeficiency syndrome (HIV/AIDS) patients. Though studies have examined the various determinants of being underweight in people living with HIV/AIDS (PLHIV), scanty evidence exists about the influence of dietary diversity scores and dietary counseling on underweight HIV patients in Ethiopia. This study aimed to identify the determinants of being underweight among adult patients receiving antiretroviral therapy at Bishoftu General Hospital, central Ethiopia. An institution-based unmatched case-control study was conducted among 279 participants (93 cases and 186 controls) from April to May 2022. Cases were selected consecutively as they occur, and then two subsequent controls that visited the antiretroviral therapy(ART) clinic were interviewed until the sample size was attained. Data were collected using a pretested structured questionnaire and involved patient interviews and chart review. Bivariate and Multivariable logistic regression was used to identify determinants of underweight. The presence of statistically significant association was declared with p-value <0.05, and a 95% confidence interval was used to show the precision in the measure of the strength of association. The response rate of participants was 91.2% for each of the cases and controls. Monthly income of patients ≤2000 birr (AOR = 6.63, 95% CI: 2.96–14.85), absence of support giver (AOR = 3.22, 95% CI: 1.38–7.50), being having an eating problem (AOR = 14.48, 95% CI: 5.06–41.40), dietary diversity score of four to five (AOR = 2.36, 95% CI: 1.92, 6.08), not getting dietary counseling support and advice (AOR = 2.53, 95% CI: 1.11, 5.72) and chewing khat (AOR = 3.36, 95% CI: 1.99,11.33) were determinants of underweight in adult HIV patients. This study revealed that household dietary diversity, counseling and education on nutrition, monthly income, eating problems, support giver, and khat chewing were predictors of being underweight in HIV patients. This inquires an integrated nutritional intervention including income-generating activities, counseling and education on nutrition and bad habits, and regular monitoring of the nutritional status during clinic visits.