Socioeconomic inequality as a predictor of unmet health needs in the older adult population of Serbia.

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.

The impact of sociodemographic and health aspects on cognitive performance in the older adult population in the republic of Serbia.

The aim of this study was to investigate how sociodemographic and health factors contribute cognitive abilities in the older population of the Republic of Serbia, using data from the 2019 national health survey. The study included 3,743 participants, of whom 2,061 (55.1%) were women and 1,682 (44.9%) were men. The median age of all participants was 72 (10) years. Study used logistic regression on cross-sectional data to analyze how education, social support, and healthcare access affect cognitive abilities, while adjusting for demographic variables. The results revealed negative associations between higher levels of education and lower odds of experiencing memory and concentration problems, while recent visits to specialists were positively associated with increased risk for the same. The highest percentage of participants (22.6%) reporting major difficulties in memory and concentration were in the age group of 85-89 years (p < 0.001). A statistically significant relationship was found between social support and issues related to memory and concentration (p < 0.001). Social support emerged as a significant factor in preserving cognitive abilities. The discussion underscores the need for a comprehensive approach in promoting cognitive health, taking into account education, social integration, and access to healthcare as key factors. The study acknowledges its limitations, including its cross-sectional nature and potential subjective biases in self-assessment of cognitive abilities. Future research should incorporate longitudinal studies and more objective measures of cognitive abilities.

Psychological resilience and suicidality in the general population: A cross-sectional study based on data from the National Mental Health Survey of Korea 2021.

BACKGROUND: The relationship between suicidality and resilience is underexplored among the general population. This study aimed to explore the relationship between lifetime, one-year, and one-month prevalence of suicidality (ideation, plan, attempt) and resilience in the general population. METHODS: Data on suicidality, resilience, prevalence of major mental disorders, and other key psychological factors were collected from the National Mental Health Survey of Korea 2021. Interviewees comprised 5511 South Koreans aged 18-79 years. The contribution of resilience to suicidality was evaluated using Rao-Scot logistic regression, adjusting for possible confounders such as mental disorder prevalence and demographic and psychological characteristics. RESULTS: Significantly lower resilience levels were noted among participants who reported lifetime, one-year, and one-month suicidal ideation, plan, or attempts. High resilience levels predicted no suicidal ideation, plans, and attempts in the lifetime, and no suicidal ideation and plans in the one-year and one-month time frames. LIMITATIONS: First, this study's cross-sectional design has limitations for ascertaining a causal relationship between resilience and suicidality. Second, because the number of participants who had attempted suicide in the past year and reported suicidal thoughts/attempts in the past month was small, there were limitations in the analysis of suicidality in these time frames. Third, it was difficult to rule out the mediating effects of personality and temperament on the relationship between resilience and suicidality. CONCLUSIONS: High resilience levels predicted lower lifetime and current suicidal ideation and suicidal planning in the general population. This study shows that psychological resilience is an important factor in evaluating an individual's current suicidality.

Prevalence and factors associated with unskilled childbirth attendance in Guinea: Analysis of the 2018 Demographic and Health Survey.

This study aimed to analyze the prevalence and factors associated with the unassisted delivery by qualified health personnel in the Republic of Guinea, based on data from the 2018 demographic and health survey. Multivariate logistic regression was used to identify the associated factors. The prevalence of unassisted delivery was 40.8%; it was 38.4% in rural areas and 2.3% in urban areas. Factors associated with this type of delivery included the performance of no ANC (ORa = 6.19 IC95%: [4.86 - 7.87], p<0.001) and those who had performed one to three ANC (ORa =1.75 IC95%: [1.49 - 2.05], p<0.001) the perception of the distance to the health institution as a problem (ORa =1.28 IC95%: [1.10 - 1.48], p<0.001), belonging to the poor wealth index (ORa = 2.77 IC 95%: [2.19 - 3.50], p<0.001) and average (ORa = 2.01 IC95%: [1.57 - 2.57], p<0.001), the fact of residing in the region of Faranah (ORa = 2.24 IC95%: [1.37 - 3.65], p<0.001) and rural areas (ORa = 4.15 IC95%: [3.10 - 5.56], p<0.001). Strengthening community awareness, making functional ambulances available to rural health centers and making prenatal care inputs available in health institutions would help to reduce the scale of unassisted deliveries in the Republic of Guinea.

Cette étude visait à analyser la prévalence et les facteurs associés à l'accouchement non assisté par un personnel de santé qualifié en Guinée, partant des données de l'enquête démographique et de santé de 2018. La régression logistique multivariée a servi à identifier les facteurs associés. La fréquence de l'accouchement non assisté était de 40.8% ; elle était de 38.4% en milieu rural et 2.3% en milieu urbain. Les facteurs associés à ce type d'accouchement comprenaient la réalisation d'aucune CPN (ORa =6.19 IC95% : [4.86 - 7.87], p<0.001) et celles qui avaient réalisées une à trois CPN (ORa =1.75 IC95% : [1.49 - 2.05], p<0.001) la perception de la distance pour la structure de santé comme un problème (ORa =1.28 IC95% : [1.10 - 1.48], p<0.001), l'appartenance à l'indice de richesse pauvre (ORa =2.77 IC95% : [2.19 - 3.50], p<0.001) et moyenne (ORa =2.01 IC 95% : [1.57 - 2.57], p<0.001), le fait de résider dans la région de Faranah (ORa =2.24 IC95% : [1.37 - 3.65], p<0.001) et rurale (ORa =4,15 IC 95% : [3,10 - 5,56], p<0,001). Le renforcement de la sensibilisation communautaire, la mise d'ambulances fonctionnelles à la disposition des centres de santé ruraux et rendre disponible les intrants de soins prénatals dans les structures sanitaires contribueraient serte à réduire l'ampleur des accouchements non assistés en Guinée.

Spatial distribution and factors associated with high completed fertility among women aged 40-49 years in Ghana: evidence from the 2022 Ghana Demographic Health Survey.

BACKGROUND: High completed fertility among married and cohabiting women has profound consequences, including straining resources, increasing healthcare challenges, and contributing to educational and gender inequalities. This study examined the factors associated with high completed fertility among married and cohabiting women aged 40-49 years in Ghana. METHODS: Data for the study was sourced from the 2022 Ghana Demographic and Health Survey (GDHS). A spatial map was used to present the women's geographic variations in high completed fertility. A mixed-effect multilevel binary logistic regression analysis was performed to identify the factors associated with high completed fertility. The findings were presented as adjusted odds ratios (aOR) with a 95% confidence interval (CI). RESULTS: The national proportion of high completed fertility among married and cohabiting women aged 40-49 years in Ghana was 52.0% [48.8, 55.2]. Women who were Ga/Dangme/Ewe by tribe [aOR = 2.32, 95% CI = 1.06, 5.08] had higher odds of high completed fertility than Akans. Women who indicated 6 + as their ideal number of children had a higher [aOR = 5.60, 95% CI = 2.90, 10.82] likelihood of high completed fertility compared to those whose ideal number of children was 0-3. Those who were using contraceptives at the time of the survey had a higher [aOR = 2.31, 95% CI = 1.17, 4.55] likelihood of high completed fertility compared to those who were not using contraceptives. Women with secondary/higher education [aOR = 0.32, 95% CI = 0.17, 0.58] had lower odds of high completed fertility than those without no formal education. Women with females as household heads [aOR = 0.56, 95% CI = 0.33, 0.95] had lower odds of high completed fertility than males. Women in Volta, Western North, Ahafo, and Bono regions had lower odds of high completed fertility compared to those living in the Northeast region, with the lowest odds among those living in the Volta region [aOR = 0.08, 95% CI = 0.02, 0.40]. CONCLUSION: High completed fertility is prevalent in Ghana, with more than half of married and cohabiting women having at least five or more children. The government and policymakers in Ghana should promote education for women, increase culturally sensitive family planning programs, increase access to family planning resources, address ideal family size preferences, and improve understanding of contraceptive use.

Determinants of pneumococcal vaccination dropout among children aged 12-23 months in Ethiopia: a secondary analysis from the 2019 mini demographic and health survey.

Background: Vaccination is a cost-effective public health program that helps reduce significant morbidity and mortality in children under the age of five. Worldwide, the number of vaccine-preventable causes of child death has significantly decreased since the Expanded Program of Immunization (EPI) was introduced. However, for a variety of reasons, 23 million children did not have adequate access to vaccines in 2020. Therefore, this study aimed to evaluate the determinants of pneumonia conjugate vaccine (PCV) dropout among children aged 12-23 months in Ethiopia. Methods: The study analyzed cross-sectional data obtained from the 2019 mini Ethiopian demographic and health survey. Multilevel binary logistic regression analysis was utilized, and the best fit model was chosen using the Akaike Information Criteria. The study comprised a weighted sample of 989 children aged 12 to 23 months. The study presented the Adjusted Odds Ratio (AOR) along with a 95% Confidence Interval (CI) to identify the significant factors influencing PCV dropout. Results: The PCV dropout rate was reported at 20.2% in this study. In the multilevel analysis, possession of a health card (AOR = 0.076, 95% CI: 0.019, 0.04), vaccination for PCV 2 (AOR =0.002, 95% CI: 0.023, 0.263), and region 7 (AOR = 6.98, 95% CI: 10.1, 48.31) were significantly associated with children's PCV dropout. Conclusion: Having a health card, having received the PCV 2 vaccinations, and region were significant predictors of PCV dropout. Consequently, health education on immunization for all mothers and region-specific, customized public health interventions are needed to reduce the vaccination dropout rate.

Association between depression and ultra-processed food consumption: a population-based study (Vigitel, 2023).

OBJECTIVES: To evaluate the association of ultra-processed food (UPF) consumption with depression among Brazilian adults (≥18 years). STUDY DESIGN: Cross-sectional study. METHODS: Data were obtained from a population-based survey conducted in 2023 (n = 21,690). UPF consumption was investigated using a questionnaire regarding the consumption on the previous day of 13 subgroups of UPF selected from those most consumed in Brazil according to a previous national survey (cutoff score ≥5 subgroups). The medical diagnosis of depression was self-reported. Logistic regression models were used to estimate the adjusted (by sex, age, education, presence of partner/spouse, and overweight) Odds Ratio (aOR) of UPF consumption according to the presence of depression. Analyses were conducted for the total population and stratified by sex. RESULTS: Medical diagnosis of depression was reported by 12.3%. The prevalence of high UPF consumption (≥5 subgroups) was 17.7%, being higher in men (22.0%) and those with depression (19.3%). Depression increased the chance of presenting a high UPF consumption among the total population (aOR 1.35; CI 95% 1.08-1.68) and women (aOR 1.35; CI 95% 1.03-1.77), with no association among men. CONCLUSION: The presence of depression was associated with greater consumption of UPF among Brazilian adults, especially among the female population. Public health actions to reduce UPF consumption could benefit from targeting this population group.

Genetic Ancestry and Self-Reported "Skin Color/Race" in the Urban Admixed Population of São Paulo City, Brazil.

Epidemiological studies frequently classify groups based on phenotypes like self-reported skin color/race, which inaccurately represent genetic ancestry and may lead to misclassification, particularly among individuals of multiracial backgrounds. This study aimed to characterize both global and local genome-wide genetic ancestries and to assess their relationship with self-reported skin color/race in an admixed population of Sao Paulo city. We analyzed 226,346 single-nucleotide polymorphisms from 841 individuals participating in the population-based ISA-Nutrition study. Our findings confirmed the admixed nature of the population, demonstrating substantial European, significant Sub-Saharan African, and minor Native American ancestries, irrespective of skin color. A correlation was observed between global genetic ancestry and self-reported color-race, which was more evident in the extreme proportions of African and European ancestries. Individuals with higher African ancestry tended to identify as Black, those with higher European ancestry tended to identify as White, and individuals with higher Native American ancestry were more likely to self-identify as Mixed, a group with diverse ancestral compositions. However, at the individual level, this correlation was notably weak, and no deviations were observed for specific regions throughout the individual's genome. Our findings emphasize the significance of accurately defining and thoroughly analyzing race and ancestry, especially within admixed populations.

Application of psychological intervention in intensive care unit nursing for patients with severe acute pancreatitis.

BACKGROUND: Severe acute pancreatitis (SAP) is a familiar critical disease in the intensive care unit (ICU) patients. Nursing staff are important spiritual pillars during the treatment of patients, and in addition to routine nursing, more attention needs be paid to the patient's psychological changes. AIM: To investigate the effects of psychological intervention in ICU patients with SAP. METHODS: One hundred ICU patients with SAP were hospitalized in the authors' hospital between 2020 and 2023 were selected, and divided into observation and control groups per the hospitalization order. The control and observation groups received routine nursing and psychological interventions, respectively. Two groups are being compared, using the Self-rating Anxiety Scale (SAS), Self-Determination Scale (SDS), Acute Physiology and Chronic Health Evaluation (APACHE) II, and 36-item Short Form Health Survey (SF-36) scores; nursing satisfaction of patients; ICU care duration; length of stay; hospitalization expenses; and the incidence of complications. RESULTS: After nursing, the SDS, SAS, and APACHE II scores in the experimental group were significantly lower than in the control group (P < 0.05). The SF-36 scores in the observation group were significantly higher than those in the control group (P < 0.05). The nursing satisfaction of patients in the experimental group was 94.5%, considerably higher than that of 75.6% in the control group (P < 0.05). The ICU care duration, length of stay, and hospitalization expenses in the observation group were significantly lower than those in the control group, and the incidence of complications was lower (P < 0.05). CONCLUSION: For patients with SAP, the implementation of standardized psychological intervention measures can effectively alleviate adverse psychological conditions.

Factors of acute respiratory infection among under-five children across sub-Saharan African countries using machine learning approaches.

Symptoms of Acute Respiratory infections (ARIs) among under-five children are a global health challenge. We aimed to train and evaluate ten machine learning (ML) classification approaches in predicting symptoms of ARIs reported by mothers among children younger than 5 years in sub-Saharan African (sSA) countries. We used the most recent (2012-2022) nationally representative Demographic and Health Surveys data of 33 sSA countries. The air pollution covariates such as global annual surface particulate matter (PM 2.5) and the nitrogen dioxide available in the form of raster images were obtained from the National Aeronautics and Space Administration (NASA). The MLA was used for predicting the symptoms of ARIs among under-five children. We randomly split the dataset into two, 80% was used to train the model, and the remaining 20% was used to test the trained model. Model performance was evaluated using sensitivity, specificity, accuracy, and the area under the receiver operating characteristic curve. A total of 327,507 under-five children were included in the study. About 7.10, 4.19, 20.61, and 21.02% of children reported symptoms of ARI, Severe ARI, cough, and fever in the 2 weeks preceding the survey years respectively. The prevalence of ARI was highest in Mozambique (15.3%), Uganda (15.05%), Togo (14.27%), and Namibia (13.65%,), whereas Uganda (40.10%), Burundi (38.18%), Zimbabwe (36.95%), and Namibia (31.2%) had the highest prevalence of cough. The results of the random forest plot revealed that spatial locations (longitude, latitude), particulate matter, land surface temperature, nitrogen dioxide, and the number of cattle in the houses are the most important features in predicting the diagnosis of symptoms of ARIs among under-five children in sSA. The RF algorithm was selected as the best ML model (AUC = 0.77, Accuracy = 0.72) to predict the symptoms of ARIs among children under five. The MLA performed well in predicting the symptoms of ARIs and associated predictors among under-five children across the sSA countries. Random forest MLA was identified as the best classifier to be employed for the prediction of the symptoms of ARI among under-five children.

Health impact evaluation of Aspirational Districts Program in India: Evidence from National Family Health Survey.

The Aspirational District Program (ADP) is a unique initiative of Government of India launched in 2018 that aims to reduce inter-district multidimensional inequality. ADP aims to bring the least developed districts to catch up with the rest of the other districts in the country. The program is comprehensive in its scope as it targets improvement of several key development indicators spanning health and nutrition, education, agriculture and water resources, financial inclusion and skill development and basic infrastructure indicators. Aspirational districts (ADs) are eligible for enhanced funding and priority allocation of various initiatives undertaken by the central and the state governments. Our research estimates the causal impact of ADP on the targeted health and nutrition indicators using a combination of propensity score matching and difference-in-differences (PSM-DID). We use the fourth and fifth rounds of National Family Health Survey (NFHS) data collected in 2015-16 and 2019-21 respectively which serve as the pre and post-treatment data for our analysis. Moreover, we take advantage of the transparent mechanism outlined for the identification of ADs under ADP, which we use for propensity score matching for our PSM-DID. While we observe negative impact of ADP on early initiation of breastfeeding, we believe that the impact is confounded with the effects of Covid-19 since part of NFHS-5 data was collected during the pandemic. However, the negative impact of ADP on early initiation of breastfeeding disappears when we only use pre-covid data (i.e. data for districts from states surveyed before the pandemic). Additionally, using pre-covid data we find a reduction in the prevalence of underweight children younger than 5 years to an extent of 2 to 4 percentage points in ADs as an impact of ADP, which is robust across multiple specification. We do not find evidence of a positive or a negative impact of ADP on any other health and nutrition indicators. Future research efforts should be made towards impact evaluation of all the targeted indicators in order to get a comprehensive unbiased evaluation of ADP.

Mortality of neonates born to mothers of extreme reproductive age in Ethiopia; multilevel mixed effect analysis of Ethiopian demographic and health survey data of 2016.

Introduction: Neonatal mortality is still a major public health problem in middle- and low-income countries like Ethiopia. Despite strategies and efforts made to reduce neonatal death, the mortality rate declines at a slower pace in the country. Though there are studies conducted on neonatal mortality and its determinants, our searches of the literature have found no study on the extent of mortality of neonates born to mothers of extreme reproductive age in the study area. Therefore, this study aimed to assess the magnitude and factors associated with the mortality of neonates born to mothers of extreme reproductive age in Ethiopia. Methods: Secondary data analysis was conducted using 2016 Ethiopian Demographic and Health Survey data. The final study contained an overall weighted sample of 2,269 live births. To determine the significant factors in newborn deaths, a multilevel binary logistic regression was fitted. For measuring the clustering impact, the intra-cluster correlation coefficient, median odds ratio, proportional change in variance, and deviation were employed for model comparison. The adjusted odds ratio with a 95% confidence interval was presented in the multivariable multilevel logistic regression analysis to identify statistically significant factors in neonatal mortality. A P-value of less than 0.05 was declared statistically significant. Results: The neonatal mortality rate of babies born to extreme aged reproductive women in Ethiopia was 34 (95% Cl, 22.2%-42.23%) per 1,000 live birth. Being twin pregnancy (AOR = 10; 95% Cl: 8.61-20.21), being from pastoralist region (AOR = 3.9; 95% Cl: 1.71-8.09), having larger baby size (AOR = 2.93; 95% Cl: 1.4-9.12) increase the odds of neonatal mortality. On the other hand, individual level media exposure (AOR = 0.3; 95% Cl: 0.09-0.91) and community level media exposure (AOR = 0.24; 95% Cl: 0.07-0.83), being term gestation (AOR = 0.14; 95% Cl: 0.01-0.81) decreases the odds of neonatal mortality born to mothers of extreme reproductive age. Conclusion: Ethiopia had a greater rate of neonatal death among babies born at the extremes of reproductive age than overall reproductive life. Multiple pregnancies, larger baby sizes, emerging regions, term gestation, and media exposure were found to be significant factors associated with the mortality of neonates born to mothers of extreme reproductive age. Therefore, the concerned bodies should give emphasis to mothers giving birth before the age of 20 and above 35, access to media, healthy pregnancy, and special attention to pastoralists to reduce the burden of neonatal mortality.

Fertility patterns in Pakistan: a comparative analysis of family planning trends across different geographic regions.

INTRODUCTION: Family planning includes a wide range of services, such as counseling, contraception, and support to couples. Evidence shows that developing countries have a high degree of inequality in contraception use and prevalence. Reasons for these inequalities include cultural barriers such as traditional preferences and a desire for larger families and lineage, especially in rural areas. The primary objective of this research was to examine the updated contraceptive method preferences of couples in rural and urban regions of Pakistan and how these translate to family planning practices among the different provinces. METHODS: A secondary survey analysis using the Pakistan Demographic and Health Survey 2019 survey data was conducted. The dataset included 15 143 women sampled proportionally from the provinces, including Gilgit Baltistan and Azad Jammu and Kashmir. The unit of analysis was 'women' from the individual survey dataset. Age, type of residence (rural, urban), division, education level, and language were used to evaluate access to family planning and contraception services. The c2 test assessed the relationship between dependent and independent variables. Multivariate logistic regression analysis was then performed to see the likelihood of contraceptive use among women. RESULTS: Of the women in the sample, 55% were from rural areas and 50% were without formal education; 51.7% of these women were using or practicing any form of contraception method. The most common method used was condoms (9.2%), followed by injectables (6.2%). Regression analysis showed that women aged 15-19 years were less likely (odds ratio (OR)=0.71, 95% confidence interval (CI)=0.51-1.01) to use contraception when compared to the reference group. The likelihood of contraceptive use was higher in urban areas (OR=1.53, 95%Cl=1.39-1.69). Noticeably, contraceptive use was less likely in uneducated women (OR=0.62, 95%Cl=0.56-070). Punjab province had the highest contraceptive prevalence (34.3%), whereas Baluchistan had the lowest (6.9%). The use of contraception in urban and rural populations was similar in all provinces except Sindh and Gilgit Baltistan. In urban and rural areas, women in the age group 30-35 years who use contraception show a prevalence of 21% and 22% respectively. CONCLUSION: The study highlights suboptimal use of contraceptives and the existence of high levels of inequalities among the regions. There is a need for the implementation of focused educational initiatives and counseling interventions along with prioritization of accessibility and affordability of contraceptive methods among women in lower socioeconomic regions.

Socioeconomic inequality in child health outcomes in India: analyzing trends between 1993 and 2021.

BACKGROUND: The health of India's children has improved over the past thirty years. Rates of morbidity and anthropometric failure have decreased. What remains unknown, however, is how those patterns have changed when examined by socioeconomic status. We examine changes in 11 indicators of child health by household wealth and maternal education between 1993 and 2021 to fill this critical gap in knowledge. Doing so could lead to policies that better target the most vulnerable children. METHODS: We used data from five rounds of India's National Family Health Survey conducted in 1993, 1999, 2006, 2016, and 2021 for this repeated cross-sectional analysis. We studied mother-reported cases of acute respiratory illness and diarrhea, hemoglobin measurements for anemia, and height and weight measurements for anthropometric failure. We examined how the prevalence rates of each outcome changed between 1993 and 2021 by household wealth and maternal education. We repeated this analysis for urban and rural communities.  RESULTS: The socioeconomic gradient in 11 indicators of child health flattened between 1993 and 2021. This was in large part due to large reductions in the prevalence among children in the lowest socioeconomic groups. For most outcomes, the largest reductions occurred before 2016. Yet as of 2021, except for mild anemia, outcome prevalence remained the highest among children in the lowest socioeconomic groups. Furthermore, we show that increases in the prevalence of stunting and wasting between 2016 and 2021 are largely driven by increases in the severe forms of these outcomes among children in the highest socioeconomic groups. This finding underscores the importance of examining child health outcomes by severity. CONCLUSIONS: Despite substantial reductions in the socioeconomic gradient in 11 indicators of child health between 1993 and 2021, outcome prevalence remained the highest among children in the lowest socioeconomic groups in most cases. Thus, our findings emphasize the need for a continued focus on India's most vulnerable children.

The association between intimate partner violence and breastfeeding practices in Cameroon: An analysis from demographic and health survey of 2018.

Intimate partner violence is a major public health concern around the world. While its degrading effects on maternal health are well documented, it is not clear establishing a link with child health outcomes, especially on breastfeeding practices. Therefore, this paper aims to analyze the association between Intimate partner violence and breastfeeding practices in Cameroon using data from the 2018 demographic and health survey. Intimate partner violence is apprehended from its three dimensions (physical, emotional and sexual violence), and the two key breastfeeding practices are considered: early initiation to breastfeeding within an hour of delivery for children under 24 months of age, and exclusive breastfeeding during 24 h preceding the mother's interview for children under 6 months. The results of descriptive statistics suggest that 51.91 % (n = 1704) of mothers whose infants between 0 and 23 months of age who acquired early initiation to breastfeeding and 39.61 % (n = 484) of mothers whose infants between 0 and 5 months of age practiced exclusive breastfeeding. The estimated results of the logistic regression model suggest that emotional violence and sexual violence were significantly associated with low chances of early initiation to breastfeeding (OR: 0.675; 95 % CI: 0.528, 0.864; p < 0.05; OR: 0.741; 95 % CI: 0.525, 1.046; p < 0.1), which is not the case with physical violence which has no significant association. No dimension of Intimate partner violence was associated with exclusive breastfeeding, independently or with control for infant, maternal and household characteristics. We further performed robustness analysis, and the findings suggest that the associations are robust to consider another measure of Intimate partner violence and the duration of maternity leave. Thus, to improve breastfeeding practices, in particular early initiation to breastfeeding, public decision-makers should strengthen the fight against domestic violence by emphasizing sexual and emotional violence. This paper provides a benchmark for several future investigations that could discuss other breastfeeding practices and the policy challenges towards the length of maternity leave.

Sociodemographic Factors Associated with Breast Cancer Screening among Women in Serbia, National Health Survey.

Background: Approximately 2.3 million female breast cancer cases were identified globally in 2020, resulting in 685,000 fatalities among women. Serbia too experiences a high breast cancer burden. Effective reduction of breast cancer incidence and mortality necessitates strategic measures encompassing the implementation of cost-effective screening technology. However, various impediments to screening implementation persist. We aimed to estimate the impact of socioeconomic factors on breast cancer screening in Serbia. Methods: Data from the 2019 National Health Survey of the population of Serbia was. The research was a descriptive, cross-sectional analytical study by design, on a representative sample of the population of Serbia. Data from women aged 15+ yr were used to examine the demographic and socioeconomic factors associated with breast cancer screening inequalities. Results: In Serbia the age group of women who predominantly participated in organized breast cancer screening (39.5%) were the ones aged 65+ yr. Women with a secondary education were 2.1x more likely to undergo a screening exam voluntarily (57.5%), compared to women with a higher education background (26.6%). When considering marital and financial circumstances, married/unmarried women from an affluent financial category exhibited a notably higher frequency of self-initiating a mammography (73% and 48.5%) in comparison to those financially struggling (27.6%). Conclusion: Strong support is imperative for countries to establish prevention and early detection programs for cancer.

Association between high-risk fertility behaviors and neonatal mortality in Ethiopia: A multilevel mixed-effects logit models from 2019 Ethiopian mini demographic and health survey.

Objectives: This study aimed to explore the association between high-risk fertility behaviors and neonatal mortality in Ethiopia. Study design: A community-based cross-sectional study was conducted using data from the 2019 Ethiopian Mini-Demographic and Health Survey. Methods: Mixed-effects logit regression models were fitted to 5527 children nested within 305 clusters. The definition of high-risk fertility behavior was adopted from the 2019 EMDHS. The fixed effects (the association between the outcome variable and the explanatory variables) were expressed as adjusted odds ratios (ORs) with 95 % confidence intervals and measures of variation explained by intra-class correlation coefficients, median odds ratio, and proportional change invariance. Results: The presence of births with any multiple high-risk fertility behaviors was associated with a 70 % higher risk of neonatal mortality (AOR = 1.7, (95 % CI: 1.2, 2.3) than those with no high-risk fertility behavior. From the combined risks of high-risk fertility behaviors, the combination of preceding birth interval <24 months and birth order four or higher had an 80 % increased risk of neonatal mortality (AOR = 1.8, (95 % CI, 1.2, 2.7) as compared to those who did not have either of the two. The 3-way risks (combination of preceding birth interval <24 months, birth order 4+, and mother's age at birth 34+) were associated with approximately four times increased odds of neonatal mortality (AOR (95 % CI:3.9 (2.1, 7.4)]. Conclusions: High-risk fertility behavior is a critical predictor of neonatal mortality in Ethiopia, with three-way high-risk fertility behaviors increasing the risk of neonatal mortality fourfold. In addition, antenatal follow-up was the only non-high fertility behavioral factor significantly associated with the risk of neonatal mortality in Ethiopia.

The Assessment of Nutritional Status of Adolescents Aged 15-18 Years Using BMI Cutoffs and BMI Z Scores: A Secondary Analysis of National Family Health Survey-5 (2019-21) Data.

BACKGROUND: Appropriate assessment of nutritional status of adolescents as a population group is an important area of focus, considering the age of culminating growth, the size of the age group, the changing nutrition patterns, and as a window of opportunity for corrections before adulthood sets in. Nutritional status is now recognized to be a prime indicator of the health of individuals. The World Health Organization (WHO) emphasizes the importance of employing age- and sex-specific reference values (body mass index-for-age Z scores {BAZ} scores) for nutritional assessment in this age group. However, the National Family Health Survey (NFHS), the major source of data in India for the policymakers, reports the nutritional status of adolescents based on adult body mass index (BMI) cutoffs, which might not be as appropriate as compared to body mass index-for-age Z scores (BAZ) scores. Misclassification of nutrition status has impacts on public health policies, intervention programs, and long-term health outcomes for adolescents. METHODS: This secondary analysis of NFHS-5 data was performed with the objective of estimating the degree of agreement between BMI and BAZ cutoffs in classifying the nutritional status among Indian adolescents. The NFHS-5 data were collected from over 636,000 households across the country. Height and weight were measured for adolescents using standardized instruments. BMI and BAZ scores were derived to assess nutritional status. World Health Organization's classifications were used to categorize nutritional status based on BMI and BAZ scores. The final analysis included data from 109,340 adolescents (13,040 males and 96,300 females) after excluding subjects having BAZ outliers and those whose age was 179 months or less. RESULTS: Substantial discrepancies emerged between the two methods. BMI classifications underestimated nutritional status in almost 30% of adolescents compared to BAZ. Over one-third of normal-weight individuals by BAZ are classified as thin by BMI. Conversely, nearly 78% of obese adolescents by BMI are classified as overweight by BAZ. The agreements between the classifications improved with age and were better among males. CONCLUSION: This analysis highlights the limitations of BMI for assessing adolescent nutritional status and suggests that BAZ offers a more accurate and age-appropriate alternative.

Factors for Minimum Acceptable Diet Practice among 6-23-Month-Old Children in Rural and Urban Areas of Indonesia.

Background: Malnutrition is common among children under 5 years of age in Indonesia, with the rates varying between urban and rural areas. The minimum acceptable diet (MAD) assesses nutrient quality and quantity. This study aimed to identify the potential variables for MAD in 6-23-month-old children in both urban and rural Indonesia. Methods: We used the data from the 2017 Indonesia Demographic and Health Survey to conduct this nationally representative study. A total of 4,688 children aged 6-23 months were included in the study. MAD was classified using the 2017 World Health Organization global nutrition monitoring framework. The determinants of MAD were analyzed using multiple logistic regression. Results: Overall, 45% of children aged 6-23 months received the required MAD, with 47.4% receiving the MAD in urban areas and 35.7% in rural areas. Children's age, fathers' age, parents' education level, mothers' employment, and wealth index were strongly linked to MAD in both rural and urban homes. The factor specifically related to MAD in urban areas was mother living with her husband. For rural households, mothers' involvement in decisionmaking and a minimum of four antenatal care (ANC) visits significantly increased the likelihood of their children's MAD status. Conclusion: MAD status was determined by increased child age, higher parent education, younger father, working mother, and higher wealth index in children aged 6-23 months in both urban and rural settings. Mothers living with a spouse determined the MAD status only in urban areas. More frequent ANC visits and mother participation in household decisions were other factors related to MAD status in rural areas.

Multilevel analysis of intimate partner violence and associated factors among reproductive-age women: Kenya demographic and health survey 2022 data.

INTRODUCTION: Intimate partner violence is a human rights violation that often involves violence against women, which appears to be the most prevalent type of abuse. Intimate partner violence is a major global public health issue that includes physical, emotional, and sexual violence. The prevalence of intimate partner violence in Africa is high. The burden of intimate partner violence among reproductive-age women is high in Kenya. Therefore, the main aim of this study is to determine the associated factors of intimate partner violence among reproductive-age women at the individual and community level from the recent Demographic and Health Survey (DHS) 2022 data of Kenya. METHODS: The Kenya National Demographic and Health Survey data of 2022 was used for this study. The overall sample size for this study was 14,612, which focused on women aged 15 to 49 years who had ever been partnered and responded to the domestic violence module. Multilevel logistic regression models to determine the prevalence and associated factors at the individual and community level with intimate partner violence with a 95% Confidence Interval (CI) and Adjusted Odds Ratio (AOR). RESULT: The overall prevalence of intimate partner violence was 41.1% with a 95% CI (40.07%, 42.60. Male-headed households, poorest and middle wealth status, partner alcohol use, separated/widowed current marital status, and low education of women were statistically significantly associated with intimate partner violence at the individual level variables in this study. CONCLUSIONS: The prevalence of intimate partner violence was high. Educating women, reducing partner alcohol use, and improving the economic status of women, were crucial in mitigating the burden of intimate partner violence. The intimate partners are supposed to respect the rights of women.