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Background: Understanding gender disparities in adolescent health behaviors is crucial for developing targeted health promotion strategies. This study uses data from the Global School-based Student Health Survey (GSHS) across 17 MENA countries to analyze gender differences in adolescent health behaviors, aiming to provide a comprehensive overview for both boys and girls. Methods: This meta-analysis incorporates data from recent years of the GSHS, covering 17 MENA countries. The objective was to assess and compare health behaviors between adolescent girls and boys. A random-effects model was employed to calculate odds ratios for gender comparisons in these behaviors. Statistical analyses and modeling were performed using JAMOVI software. Results: In most MENA countries, boys consumed more vegetables compared to girls. Girls were less likely to frequent fast food establishments (OR = 0.82, 95% CI: 0.69-0.98) and generally exhibited better self-care behaviors. Boys reported a higher prevalence of physical altercations (OR = 2.18, 95% CI: 1.88-2.51) and were more involved in fights (OR = 3.00, 95% CI: 2.46-3.67). Girls were more likely to miss school without permission and were consistently described as kinder and more helpful across various income levels. However, in some countries such as Oman and Tunisia, boys missed school more frequently. There were no significant gender differences in parental oversight of homework or knowledge of students' activities, but girls were reported to have stronger parental relationships and better parental understanding of their problems and free time, with exceptions in Morocco and the Palestinian Territory-Gaza. Boys were more likely to engage in smoking (OR = 3.57, 95% CI: 2.69-4.76) and other substance use. Conversely, girls reported higher levels of physical inactivity and loneliness, but also demonstrated greater kindness and helpfulness in school settings and stronger parental relationships. Conclusion: Policymakers in the MENA region should develop and implement gender-specific interventions targeting key areas such as hygiene practices, physical activity, and substance use. By focusing on these targeted strategies, they can address the distinct health behaviors and needs of both boys and girls. Effective interventions in these areas are crucial for improving overall health outcomes and promoting healthier lifestyles, thereby enhancing adolescent health and well-being across the region.

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BACKGROUND: Understanding the factors contributing to mental well-being in youth is a public health priority. Self-reported enthusiasm for the future may be a useful indicator of well-being and has been shown to forecast social and educational success. Typically, cross-domain measures of ecological and health-related factors with relevance to public policy and programming are analyzed either in isolation or in targeted models assessing bivariate interactions. Here, we capitalize on a large provincial data set and machine learning to identify the sociodemographic, experiential, behavioral, and other health-related factors most strongly associated with levels of subjective enthusiasm for the future in a large sample of elementary and secondary school students. OBJECTIVE: The aim of this study was to identify the sociodemographic, experiential, behavioral, and other health-related factors associated with enthusiasm for the future in elementary and secondary school students using machine learning. METHODS: We analyzed data from 13,661 participants in the 2019 Ontario Student Drug Use and Health Survey (OSDUHS) (grades 7-12) with complete data for our primary outcome: self-reported levels of enthusiasm for the future. We used 50 variables as model predictors, including demographics, perception of school experience (i.e., school connectedness and academic performance), physical activity and quantity of sleep, substance use, and physical and mental health indicators. Models were built using a nonlinear decision tree-based machine learning algorithm called extreme gradient boosting to classify students as indicating either high or low levels of enthusiasm. Shapley additive explanations (SHAP) values were used to interpret the generated models, providing a ranking of feature importance and revealing any nonlinear or interactive effects of the input variables. RESULTS: The top 3 contributors to higher self-rated enthusiasm for the future were higher self-rated physical health (SHAP value=0.62), feeling that one is able to discuss problems or feelings with their parents (SHAP value=0.49), and school belonging (SHAP value=0.32). Additionally, subjective social status at school was a top feature and showed nonlinear effects, with benefits to predicted enthusiasm present in the mid-to-high range of values. CONCLUSIONS: Using machine learning, we identified key factors related to self-reported enthusiasm for the future in a large sample of young students: perceived physical health, subjective school social status and connectedness, and quality of relationship with parents. A focus on perceptions of physical health and school connectedness should be considered central to improving the well-being of youth at the population level.

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Biosocial surveys increasingly use interviewers to collect objective physical health measures (or "biomeasures") in respondents' homes. While interviewers play an important role, their high involvement can lead to unintended interviewer effects on the collected measurements. Such interviewer effects add uncertainty to population estimates and have the potential to lead to erroneous inferences. This study examines interviewer effects on the measurement of physical performance in a cross-national and longitudinal setting using data from the Survey of Health, Ageing and Retirement in Europe. The analyzed biomeasures exhibited moderate-to-large interviewer effects on the measurements, which varied across biomeasure types and across countries. Our findings demonstrate the necessity to better understand the origin of interviewer-related measurement errors in biomeasure collection and account for these errors in statistical analyses of biomeasure data.

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Pregnancy termination remains a complex and sensitive issue with approximately 45% of abortions worldwide being unsafe, and 97% of abortions occurring in developing countries. Unsafe pregnancy terminations have implications for women's reproductive health. This research aims to compare black box models in their prediction of pregnancy termination among reproductive-aged women and identify factors associated with pregnancy termination using explainable artificial intelligence (XAI) methods. We used comprehensive secondary data on reproductive-aged women's demographic and socioeconomic data from the Demographic Health Survey (DHS) from six countries in East Africa in the analysis. This study implemented five black box ML models, Bagging classifier, Random Forest, Extreme Gradient Boosting (XGB) Classifier, CatBoost Classifier, and Extra Trees Classifier on a dataset with 338,904 instances and 18 features. Additionally, SHAP, Eli5, and LIME XAI techniques were used to determine features associated with pregnancy termination and Statistical analysis were employed to understand the distribution of pregnancy termination. The results demonstrated that machine learning algorithms were able to predict pregnancy termination on DHS data with an overall accuracy ranging from 79.4 to 85.6%. The ML classifier random forest achieved the highest result, with an accuracy of 85.6%. Based on the results of the XAI tool, the most contributing factors for pregnancy termination are wealth index, current working experience, and source of drinking water, sex of household, education level, and marital status. The outcomes of this study using random forest is expected to significantly contribute to the field of reproductive healthcare in East Africa and can assist healthcare providers in identifying individuals' countries at greater risk of pregnancy termination, allowing for targeted interventions and support.

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Introduction: Inappropriate feeding practices are a major contributor to child malnutrition. To monitor the feeding practices of young children, current and frequent studies are required. However, as far as our searches are concerned, there is a scarcity of up-to-date information on attainment of the minimum acceptable diet and its predictors in the study area. Therefore, this study aimed to assess the magnitude of attainment of the minimum acceptable diet and its associated factors among children aged 6-23 in Ghana by using the most recent data. Methods: Secondary data analysis was conducted based on the demographic and health survey data conducted in Ghana in 2022. A total weighted sample of 2,621 children aged 6-23 months in the 5 years preceding the survey was included in this study. A multi-level logistic regression model was used to identify the determinants of the minimum acceptable diet. The adjusted odds ratio at 95% Cl was computed to assess the strength and significance of the association between explanatory and outcome variables. Factors with a p-value of <0.05 are declared statistically significant. Results: The national prevalence of the attainment of the minimum acceptable diet in Ghana was 26.40% (95% CI: 24.82-28.06). Child from mother with higher education (AOR = 1.96; 95% CI: 1.56-3.31) and father with higher education (AOR = 1.59; 95% CI: 1.04-2.41), Children having postnatal visit (AOR = 1.29; 95% CI: 1.03-1.62), being in the child age of 9-11 months (AOR = 2.09; 95% CI: 1.42-5.03) and 12-23 months (AOR = 3.62; 95% CI: 2.61-5.03), being in a middle (AOR = 1.66; 95% CI: 1.14-3.06), and rich wealth quintile (AOR = 2.06; 95% CI: 1.37-3.10), breastfed children (AOR = 3.30; 95% CI: 2.38-4.56), being in a high-community poverty (AOR = 0.65; 95% CI: 0.44-0.96), and being in the Savannah region (AOR = 0.32; 95% CI: 0.16-0.67) were factors significantly associated with the minimum acceptable diet use. Conclusion: Many children are still far behind in meeting the minimum acceptable diet in Ghana as per 90% of WHO-recommended coverage. Measures should be taken to optimize the minimum acceptable diet attainment in the country. Thus, policymakers, the government, and other relevant authorities should focus on the early initiation of complementary feeding, the Savannah region, further empowering women, and enhancing breast-feeding and household wealth status.

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BACKGROUND: The prevalence of tobacco and alcohol use among adolescents is alarming, and these substances are among the leading risk factors for current and future health among adolescents. Physical activity has the potential to help prevent substance use among adolescents. The objective of this study was to evaluate the association between physical activity, modes of transportation to or from school, and sitting time with tobacco and alcohol use among 222,495 adolescents. METHODS: This cross-sectional study used data from national surveys conducted in 66 countries, obtained through the Global School-based Student Health Survey, and included adolescents aged 11 to 17 years. Information on physical activity, transportation to or from school, sitting time, and tobacco and alcohol use was collected through self-report questionnaires. Generalized linear models were employed to estimate the associations between these variables. RESULTS: The analysis, adjusted for sex, age, and region, revealed that being physically active was associated with lower odds of smoking (OR: 0.86, 95%CI: 0.83-0.89), alcohol use (OR: 0.74, 95%CI: 0.72-0.76), binge drinking (OR: 0.66, 95%CI: 0.62-0.69), and drunkenness (OR: 0.85, 95%CI: 0.83-0.88) compared to inactivity. Insufficiently active participants also had lower odds of tobacco use (OR: 0.83, 95%CI: 0.80-0.85), alcohol use (OR: 0.77, 95%CI: 0.75-0.79), binge drinking (OR: 0.91, 95%CI: 0.87-0.96), and drunkenness (OR: 0.88, 95%CI: 0.85-0.90) compared to inactive participants. Additionally, active transportation to or from school was associated with lower odds of tobacco use (OR: 0.97, 95%CI: 0.95-0.99), alcohol use (OR: 0.94, 95%CI: 0.92-0.96), and binge drinking (OR: 0.78, 95%CI: 0.75-0.81) compared to those using passive transportation. Participants with acceptable sitting time, however, were more likely to use tobacco (OR: 1.48, 95%CI: 1.45-1.52), use alcohol (OR: 1.68, 95%CI: 1.64-1.72), binge drink (OR: 1.68, 95%CI: 1.62-1.75), and experience drunkenness (OR: 1.66, 95%CI: 1.62-1.69) compared to those with excessive sitting time. CONCLUSION: Being physically active, even at insufficient levels, may have beneficial effects on tobacco and alcohol use in adolescents. Acceptable sedentary time, on the other hand, was positively associated with tobacco and alcohol use.

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BACKGROUND: For safe drinking water, household water treatments (HWT) is important to reduce the risk of diarrhea in low-and-middle countries including Lao People's Democratic Republic (Lao PDR). However, the measurement of HWT relies chiefly on self-report in most nationwide surveys. Thus, the validity of self-reported measurement is of concern. The objective of this study was to determine the proportion of households with the presence of boiled water among households that report boiling practices in a rural area of the Lao PDR. METHODS: This study was conducted with randomly selected 108 households in the four villages in the catchment area of the two health centers, in Xepon district of the Savannakhet province, between September and October 2023. The inclusion criterion of the households was the households that report boiling as HWT. Surveyors conducted interviews with an adult household member and observations on boiled water through household visits, using a questionnaire. Descriptive statistics were conducted to summarize the collected information using the frequency with proportion for categorical variables and the median with interquartile range for continuous variables. Bivariate analyses were conducted to assess an association between each of the factors and the presence of boiled water, using Fisher's exact test. RESULTS: Among the 108 households that reported boiling practice, 91 households were able to show the surveyor self-reported boiled water. Thus, the proportion of households with the presence of boiled water was 90.1% (95% confidence interval: 82.5-95.1%). Households with a fixed schedule of boiling were significantly more likely to present boiled water, compared to households without (94.5% vs. 50.0%). Not all household members do not necessarily drink boiled water: approximately a quarter (25.7%) of the participants reported that some household members drink unboiled water. CONCLUSIONS: This study showed that among households that reported boiling drinking water, 90.1% were able to present a container with self-reported boiled water. It suggests that the self-reported measure of boiling practices can be valid in the study villages.

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BACKGROUND: Breast cancer is the second most commonly diagnosed cancer worldwide, with a high mortality rate in developing countries, including sub-Saharan Africa. Screening is one way to ensure early detection and management of breast cancer, and it is influenced by several factors. Education and socio-economic status may also affect the utilization of breast cancer screening services as these impact decision-making. This study aimed to investigate women's empowerment and its influence on the uptake of breast cancer screening among women in Tanzania. METHODS: This study utilized the 2022 Tanzania Demographic and Health Survey data, and included 4216 women aged 20 to 49 years. Women empowerment variables used include social independence, decision-making, ownership of assets, and attitude towards violence. Statistical Package for Social Sciences version 26 was used for data cleaning and analysis. Descriptive statistics and bivariate analysis were done, including a multivariate logistic regression to assess the level of association between independent variables with breast cancer screening. RESULTS: Findings indicate that the prevalence of breast cancer screening is 5.2%. Age, education level, literacy, ownership of assets, attitude towards violence, and decision making are associated with ever going for breast cancer screening. Women aged 45 to 49 years (AOR = 6.28, 95% CI = 6.27-6.28), those with secondary or higher education (AOR 1.1, 95% CI = 1.05-1.06), literate women (AOR = 1.13, 95% CI = 1.13-1.13), those who own a house (AOR = 3.08, 95% CI = 3.08-3.09), who jointly decide on their healthcare with partners on healthcare (AOR = 1.18, 95% CI = 1.18-1.19) had significantly higher odds of going for breast cancer screening. CONCLUSION: Women's empowerment is significantly associated with the likelihood of engaging in breast cancer screening. Empowered women are more likely to undergo screening. Focus should be on empowering women through education, businesses, and community involvement. Country-specific interventions and breast cancer screening awareness campaigns should include empowerment initiatives to promote screening uptake.

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OBJECTIVES: To estimate the prevalence and identify the factors associated with undiagnosed hypertension in India. STUDY DESIGN: A secondary data analysis using the National Family Health Survey (NFHS-5) covering the period 2019-2021. METHODS: Information on hypertension among individuals aged 15-49 years was extracted from the survey dataset. We estimated the prevalence of undiagnosed hypertension using physical measurements along with self-reported data from the survey. A log-binomial model with survey-adjusted Poisson regression was used to estimate the prevalence ratio between undiagnosed and diagnosed hypertension. Multinomial logistic regression analysis examined the factors associated with diagnosed hypertension (vs healthy) and undiagnosed hypertension (vs healthy). All the analyses were survey-weight adjusted and stratified by gender. RESULTS: The survey-adjusted prevalence of undiagnosed hypertension was 8.75% (8.62%-8.87%) and was higher among males [13.56% (13.03%-14.12%)] than in females [8.14% (8.03%-8.25%)]. The proportion of individuals with undiagnosed hypertension among total hypertension was 44.99% (44.44%-45.55%) and was higher in males [65.94% (64.25%-67.60%)] than in females [42.18% (41.66%-42.71%)]. CONCLUSIONS: Our findings revealed that age, higher body mass index, no access to health care, and having no comorbidities were risk factors for undiagnosed hypertension. One in twelve people had undiagnosed hypertension, and of those with hypertension, one in two were undiagnosed, with males being disproportionately affected. Targeted public health interventions are crucial to improve hypertension screening, particularly among middle-aged and obese individuals without comorbidities.

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Background: Antimicrobial use (AMU) is a known driver of antimicrobial resistance. Insight into prevalence and correlates of AMU can help identify health inequities and areas for targeted action. To better understand sociodemographic and medical dimensions of AMU in Canada, the Public Health Agency of Canada, in partnership with Statistics Canada, developed a Rapid Response Module questionnaire on self-reported oral antibiotic use, to be administered as part of the 2018 Canadian Community Health Survey (CCHS). Objective: To provide data on the proportion of people in Canada that self-report the use of antibiotics and sociodemographic and health factors associated with use. Methods: This cross-sectional study used data from the CCHS, a national survey of 24,176 people with a clustered multi-stage stratified random sampling design. In 2018, an antibiotic use module was administered to CCHS participants. Results: Among respondents 18 years and older, 26% reported receipt of at least one oral antibiotic over the past year. Several sociodemographic and health factors had higher adjusted odds of receiving an antibiotic prescription, including those aged 18 years compared to aged 48 years (mean), women compared to men, immigrants compared to non-immigrants (excluding Indigenous), current and former smokers compared to those who have never smoked, and those with comorbidities (asthma, chronic obstructive pulmonary disease, arthritis, heart disease, cancer, bowel disorder and urinary incontinence). Conclusion: Variations in AMU across different key populations and sociodemographic groups highlight the need to improve our understanding of different drivers of AMU and for tailored interventions to reduce inequitable risks of antimicrobial resistance.

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Background: Physical therapy has demonstrated efficacy in managing nonspecific low back pain (NLBP) among patients. Nevertheless, the prevalence of NLBP poses a challenge, as the existing medical infrastructure may be insufficient to care for the large patient population, particularly in geographically remote regions. Telerehabilitation emerges as a promising method to address this concern by offering a method to deliver superior medical care to a greater number of patients with NLBP. Objective: The purpose of this study is to demonstrate the physical and psychological effectiveness of a user-centered telerehabilitation program, consisting of a smartphone app and integrated sensors, for patients with NLBP. Methods: This was a single-center, prospective, randomized controlled trial for individuals with NLBP for a duration exceeding 3 months. All participants were assigned randomly to either the telerehabilitation-based exercise group (TBEG) or the outpatient-based exercise group (OBEG). All participants completed a 30-minute regimen of strength and stretching exercises 3 times per week, for a total of 8 weeks, and were required to complete assessment questionnaires at 0, 2, 4, and 8 weeks. The TBEG completed home-based exercises and questionnaires using a telerehabilitation program, while the OBEG completed them in outpatient rehabilitation. The Oswestry Disability Index (ODI) served as the primary outcome measure, assessing physical disability. Secondary outcomes included the Numeric Pain Rating Scale, Fear-Avoidance Beliefs Questionnaire, and 36-item Short-Form Health Survey. Results: In total, 54 of 129 eligible patients were enrolled and randomly assigned to the study. The completion of all the interventions and assessments in the TBEG and OBEG was 89% (24/27) and 81% (22/27). The findings indicate that no statistical significance was found in the difference of ODI scores between the TBEG and the OBEG at 2 weeks (mean difference -0.91; odds ratio [OR] 0.78, 95% CI -5.96 to 4.14; P=.72), 4 weeks (mean difference -3.80; OR 1.33, 95% CI -9.86 to -2.25; P=.21), and 8 weeks (mean difference -3.24; OR 0.92, 95% CI -8.65 to 2.17; P=.24). The improvement of the ODI in the TBEG (mean -16.42, SD 7.30) and OBEG (mean -13.18, SD 8.48) was higher than 10 after an 8-week intervention. No statistically significant differences were observed between the 2 groups at the 8-week mark regarding the Fear-Avoidance Beliefs Questionnaire (mean difference 8.88; OR 1.04, 95% CI -2.29 to 20.06; P=.12) and Numeric Pain Rating Scale (mean difference -0.39; OR 0.44, 95% CI -2.10 to 1.31; P=.64). In the subgroup analysis, there was no statistically significant difference in outcomes between the 2 groups. Conclusions: Telerehabilitation interventions demonstrate comparable therapeutic efficacy for individuals with NLBP when compared to conventional outpatient-based physical therapy, yielding comparable outcomes in pain reduction and improvement in functional limitations.

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PURPOSE: Both metabolic syndrome (MetS) and cognitive dysfunction impair health-related quality of life (HRQOL). This study aims to determine whether individuals experiencing both MetS and cognitive dysfunction have lower HRQOL. METHODS: This cross-sectional study enrolled 567 participants who attended outpatient clinics at a medical center in northern Taiwan. MetS was diagnosed according to the modified criteria for the Asian population. Cognitive function was categorized as normal, mild cognitive dysfunction, and advanced cognitive dysfunction according to the score of the Montreal Cognitive Assessment, Taiwanese version. HRQOL was assessed using the SF-36v2® Health Survey (SF-36v2). The associations of the comorbidity status of MetS and cognitive dysfunction with HRQOL were analyzed using linear regression models, adjusting for age, sex, marital status, education level, income groups, and activities of daily living. RESULTS: Out of 567 participants, 33 (5.8%) had MetS with mild cognitive dysfunction, and 34 (6.0%) had MetS with advanced cognitive dysfunction. Participants with both MetS and advanced cognitive dysfunction exhibited the lowest scores in the physical component summary and almost all scales of HRQOL. MetS exacerbated the inverse association between mild cognitive dysfunction and the mental component summary. For those with MetS, the scores on scales of role physical, bodily pain, vitality, and social functioning worsened as cognitive function deteriorated (all Ptrend<0.05). CONCLUSION: As the severity of comorbidity between MetS and cognitive dysfunction varies, patients exhibited poorer performance in different aspects of HRQOL. Future research is needed to find solutions to improve HRQOL for patients with both MetS and cognitive dysfunction.

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Ensuring adequate iodine nutrition during pregnancy is crucial for fetal brain development. Thus, the WHO recommend monitoring iodine nutrition in pregnant women. With changing dietary habits and declining iodine intake in coastal populations, iodine nutrition in pregnant Faroese women was a focus in newly established pregnancy cohorts. This study aimed to monitor the iodine status of pregnant women in the Faroe Islands by assessing urinary iodine concentration (UIC) and maternal iodine intake. For 2 years, all pregnant women were invited to participate in a nationwide study. Participants completed questionnaires addressing personal and lifestyle factors, supplement intake and dietary habits, Additionally, they provided spot urine samples for UIC measurements. Iodine was measured spectrophotometrically using the ceri/arsen method after alkaline-ashing. Among the 1030 invited, 654 participated and 647 provided a spot-urine sample. The average age was 30·4 years (18­47 years). The overall median UIC was 110 µg/l, declined from 117 to 101 µg/l over 2 years (P = 0·004). UIC was significantly impacted by diet. Women consuming fish and eggs had a higher median UIC compared with those whose primary iodine source was dairy: fish-dinner, 151 µg/l; dairy products, 112 µg/l (P < 0·001). Furthermore, there was a positive association between maternal age, reported intake of iodine-containing supplements and the UIC. This nationwide study of pregnant Faroese women found UIC below the WHO-recommended cut-off for pregnant women and decreasing with time. This decline highlights the importance of continuous monitoring to prompty identify shifts in iodine status, enabling timely intervention to address emerging deficiencies.

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OBJECTIVE: We investigated the prevalence and distribution of depressive symptoms in individuals aged 15 and older, as well as the relationship between depressive symptoms and sociodemographic characteristics, chronic diseases, health status and health behaviors. METHOD: The analysis of data collected from the Türkiye Health Surveys conducted by Turkish Statistical Institute (TURKSAT) in 2016 and 2019 involved using the Chi-Square independence test. Effect sizes were evaluated using Phi or Cramer's V coefficients. Patient Health Questionnaire-8 (PHQ-8) module was used to scan the depressive symptoms. RESULTS: The adult population's point of prevalence of depressive symptoms was 4.7%±0.24 in males and 8%±0.19 in females, with a population total of 6.3%±0.21. The yearly prevalence of depressive symptoms was 6.1%±0.45 in males, 13.2%±0.53 in females and a population total of 10%±0.49. Age, gender, income, education, social support, health status, disability, and chronic illnesses were found to be significant predictors of the incidence of depressive symptoms (p<0,05). The results indicated that the rate of people with depression getting help from psychologists, psychotherapists,and psychiatrists was low. CONCLUSION: Age, gender, income, education, marital status, self-rated health status, social support, number of chronic illnesses, and disability were the most important risk factors for depressive episodes. In addition to such self-reported research completed before the pandemic and Kahramanmaras earthquakes in Türkiye, further studies based on structured diagnostic interviews are required.

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BACKGROUND:  Violence against women has been one of the dreaded social evils that humanity is facing. There have been concerted efforts to eliminate this evil, and sustainable development goals goal 5.2.1 gave it a timeline. The current study was carried out to estimate the burden of domestic violence (DV) against women and to investigate the sociodemographic correlates of DV victims in India. METHODS:  Data were drawn from the fifth National Family Health Survey round. According to Demographic Health Survey guidelines, DV is measured using a 13-item questionnaire in the women's survey. Complex sample analysis was done using a primary sampling unit, sample weight, and stratification variables to estimate the weighted prevalence. Chi-square and multivariate logistic regression determine the unadjusted and adjusted odds ratio. The analysis is carried out using SPSS version 26 (IBM Corp., Armonk, NY). RESULTS:  The weighted prevalence of DV against women in India in 2019-2021 was 31.2%. Approximately 28.5%, 13.1%, and 5.7% of women reported experiences of physical, emotional, and sexual violence, respectively. Karnataka was the worst affected state, with 47.3% of women facing DV. Individual factors like education and occupation, household factors like husband's education, occupation, drinking habit, wealth index, and community-level factors like caste, religion, and place of residence were significant predictors of DV. Lower levels of education and lower socioeconomic status were essential predictors of DV. CONCLUSION:  The importance of education for both females and males has repeatedly been directly associated with DV, but the interventions have failed to improve the situation and warrant a new strategy. Awareness about the legal consequences of DV in lower socioeconomic classes also has the potential to cut down the numbers. Further research into the causality can improve the planning for better intervention modalities.

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INTRODUCTION: Between 2006 and 2017, antenatal care (ANC) coverage in Benin declined, potentially exacerbating inequalities and substantiating the need for health inequality monitoring. This study examines inequalities in ANC attendance in Benin, disaggregated by women's age, educational level, economic status, place of residence, region of residence, and the extent to which they have changed over time. METHODS: Three rounds of the Benin Demographic and Health Surveys (2006, 2011-12, and 2017-18) were analyzed to examine inequalities in ANC coverage. An exploratory descriptive approach was adopted for the analysis. Simple [difference (D) and ratio (R)] and complex [population attributable risk (PAR) and population attributable fraction (PAF)] measures of inequalities were computed using the World Health Organization's Health Equity Assessment Toolkit (WHO's HEAT) online platform. The measures were computed separately for each of the three surveys, and their estimates were compared. RESULTS: The findings revealed an 8.4% decline in at least four ANC visits between 2006 and 2017-18. The decline occurred irrespective of age, educational status, economic status, place of residence, and region. Region-related inequalities were the largest and increased slightly between 2006 (D = 54.6; R = 2.6; PAF = 47.8, PAR = 29.0) and 2017-18 (D = 55.8; R = 3.1; PAF = 57.2, PAR = 29.8). Education (2006: D = 31.3, R = 1.6, PAF = 40.5, PAR = 24.5; 2017-18: D = 25.2, R = 1.6, PAF = 34.9, PAR = 18.1) and rural-urban (2006: D = 16.8, R = 1.3, PAF = 17.8, PAR = 10.8; 2017-18: D = 11.2, R = 1.2, PAF = 13.1, PAR = 6.8) inequalities reduced while economic status inequalities did not improve (2006: D = 48, R = 2.2, PAF = 44.5, PAR = 26.9; 2017-18: D = 43.9, R = 2.4, PAF = 45.0, PAR = 23.4). Age inequalities were very minimal. CONCLUSION: ANC inequalities remain deeply ingrained in Benin. Addressing their varying levels requires comprehensive strategies that encompass both supply-and demand-side interventions, focusing on reaching uneducated women in the poorest households and those residing in rural areas and Atacora.

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Background: Although the prevalence of childhood illnesses has significantly decreased, acute respiratory infections continue to be the leading cause of death and disease among children in low- and middle-income countries. Seven percent of children under five experienced symptoms in the two weeks preceding the Ethiopian demographic and health survey. Hence, this study aimed to identify interpretable predicting factors of acute respiratory infection disease among under-five children in Ethiopia using machine learning analysis techniques. Methods: Secondary data analysis was performed using 2016 Ethiopian demographic and health survey data. Data were extracted using STATA and imported into Jupyter Notebook for further analysis. The presence of acute respiratory infection in a child under the age of 5 was the outcome variable, categorized as yes and no. Five ensemble boosting machine learning algorithms such as adaptive boosting (AdaBoost), extreme gradient boosting (XGBoost), Gradient Boost, CatBoost, and light gradient-boosting machine (LightGBM) were employed on a total sample of 10,641 children under the age of 5. The Shapley additive explanations technique was used to identify the important features and effects of each feature driving the prediction. Results: The XGBoost model achieved an accuracy of 79.3%, an F1 score of 78.4%, a recall of 78.3%, a precision of 81.7%, and a receiver operating curve area under the curve of 86.1% after model optimization. Child age (month), history of diarrhea, number of living children, duration of breastfeeding, and mother's occupation were the top predicting factors of acute respiratory infection among children under the age of 5 in Ethiopia. Conclusion: The XGBoost classifier was the best predictive model with improved performance, and predicting factors of acute respiratory infection were identified with the help of the Shapely additive explanation. The findings of this study can help policymakers and stakeholders understand the decision-making process for acute respiratory infection prevention among under-five children in Ethiopia.

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Background: Metabolic syndrome (MetS) is a combination of interconnected conditions, including insulin resistance, abdominal obesity, high blood pressure, and abnormal blood lipid levels. The objective of this research was to investigate the impact of MetS on the quality of life and clinical outcomes following total knee arthroplasty (TKA) in patients with osteoarthritis (OA). Methods: A retrospective descriptive study was conducted to enroll OA patients who underwent primary TKA at Zhongda Hospital, Southeast University from January 2015 to August 2019. A total of 83 OA patients who did and 144 (MetS group) who did not have MetS (non-MetS group) were included. An analysis was conducted on the patient's clinical data. Results: The two groups had similar results in terms of lengths of stay (P=0.93), hospital costs (P=0.24), and overall complication rates (P=0.99). There was no significant difference in the average erythrocyte sedimentation rate and C-reactive protein levels between the groups. However, the MetS group exhibited notably lower Hospital for Special Surgery knee scores and Short Form [36] health survey (SF-36) scores compared to the non-MetS group (both P>0.05) during the one-year follow-up period. Conclusions: OA patients who have MetS had significantly worse knee joint function and quality of life after TKA. There are certain constraints in the current research. First, it belongs to a single-center retrospective study. Further study will be necessary to determine the generality of this conclusion. Second, this study is retrospective, and the number of patients included is not large. Third, due to the diverse clinical groups in our hospital, it is challenging to comprehensively document all the clinical data of the patients involved in this study. Forth, this study did not compare the preoperative differences between the two groups, as well as analyze the postoperative improvement changes in depth. We will compare the preoperative and postoperative differences between the two groups in more depth in future large sample studies.

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Objectives: The aim of this paper is to assess the relationship between demographic and socioeconomic predictors and the unmet health needs of the older adult population in Serbia. Materials and methods: The study is part of the Population Health Survey of Serbia, which was conducted in the period from October to December 2019 by the Institute for Public Health of Serbia "Dr. Milan Jovanovic Batut" and the Ministry of Health of the Republic of Serbia. The research was conducted on a representative sample of Serbian residents in the form of a cross-sectional study. For the purposes of this research study, data on senior citizens, aged 65 and older, were used. Results: Multivariate regression analysis of demographic characteristics that showed statistical significance in the univariate model as a whole explains between 4.2% (Cox & Snell R Square) and 5.9% (Nagelkerke R Square) of the variance of unmet health needs and correctly classifies 66.3% cases. Statistically significant demographic predictors were the region where the respondents live, level of education, and material condition. The results of the research show that the most dominant predictors of the unmet health needs of the older adult population are related to socioeconomic inequalities, financial reasons, and predictors related to the inaccessibility of health care. Conclusion: The results suggest that individual socioeconomic predictors have a great influence on the emergence of unmet health needs of the older adult population in Serbia. Every third older adult resident did not receive the necessary health care, most often due to financial constraints.

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This study aimed to analyze factors associated with obstetric fistula care-seeking behavior in Guinea, based on data from the 2018 Demographic and Health Survey. Women aged 15-49 years who reported having obstetric fistula constituted the study population, statistical analysis was using Stata 16.0 software. Multivariate logistic regression was used to identify the factors associated with fistula care-seeking behavior. Among women with obstetric fistula, 78.9% sought care; 21.1% of those who sought care underwent repair. Factors associated with care-seeking behavior were being divorced (AOR =8.08; 95% CI:1.56-41.84), having a job (AOR =3.23; 95% CI: 1.11-9.44), being a member of a poor household (AOR =6.49; 95% CI:1.21-34.82) and whose fistula had appeared 6 days or more after the occurrence of the causal circumstance (AOR =3.63 95% CI: 1.28-10.28). This study suggests that the foundations on which fistula prevention and treatment programs are built should be reviewed, taking into account the factors highlighted by this study.

Cette étude visait à analyser les facteurs associés aux comportements de recherche de soins pour la fistule obstétricale en Guinée, partant des données de l'enquête démographique et de santé de 2018. Les femmes âgées de 15 à 49 ans ayant déclaré avoir une fistule obstétricale ont constitué la population d'étude, l'analyse statistique a été réalisée à l'aide du logiciel Stata 16.0. La régression logistique multivariée a été utilisée pour identifier les facteurs associés aux comportements de recherche de soins pour la fistule. Parmi les femmes atteintes de fistule obstétricale, 78,9 % ont eu recours à des soins ; 21,1 % de celles qui ont recouru ont subi une réparation. Les facteurs associés aux comportements de recherche de soins étaient le fait d'être divorcée (ORA=8.08 ; 95% IC :1.56-41.84), d'avoir un travail (ORA =3.23 ; 95% IC : 1.11-9.44), d'être membre d'un ménage pauvre (ORA =6.49 ; 95% IC :1.21-34.82) et dont la fistule était apparue 6 jours ou plus après la survenue de la circonstance causale (ORA =3.63 95% IC : 1.28-10.28). Cette étude suggère de revoir les bases sur lesquelles les programmes de prévention et de traitement de la fistule sont construits, tout en prenant en compte les facteurs mis en évidence par cette étude.

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