Search Results (75)

Background: Dentinal hypersensitivity (DH) significantly impacts oral health-related quality of life. While global prevalence estimates range from 10–15%, region-specific data from Saudi Arabia remain limited. This study also aligns with Saudi Vision 2030’s mental health initiatives, as DH-associated anxiety impacts overall well-being. This study assessed DH prevalence and quality of life impact among Saudi adults. Methods: A cross-sectional online survey was conducted among 748 Saudi adults aged ≥ 18 years between April and May. Data were collected using a validated Arabic Dentinal Hypersensitivity Experience Questionnaire (DHEQ) alongside socio-demographic variables. Participants reporting DH symptoms within 12 months were included in impact analyses. Descriptive statistics and one-way ANOVA examined associations between DHEQ scores and participant characteristics. Results: Self-reported DH prevalence was 54.3% (n = 406), substantially exceeding global estimates. Among affected individuals, mean DHEQ score was 0.56 ± 0.19, indicating moderate-to-substantial quality-of-life impact. Functional limitations were most affected, particularly enjoyment of eating and drinking (0.72 ± 0.21). Significant associations were identified between higher DHEQ scores and age extremes (<18 and >35 years; p < 0.001), higher income levels (p = 0.032), fewer teeth (p = 0.040), and dental pain presence (p = 0.009). Sex, residence, education, and employment showed no significant associations. Conclusions: More than half of Saudi adults reported DH symptoms, representing a significant public health concern with substantial quality of life implications. Prevalence substantially exceeds global estimates, highlighting the need for targeted interventions. Age, income, tooth count, and pain presence emerged as key factors. These findings support developing population-specific prevention strategies, particularly targeting younger and older adults with tooth loss. Full article

Background: Adherence to iron supplementation is influenced by systemic barriers, including poor healthcare infrastructure, shortage of healthcare providers, and limited access to antenatal care (ANC) services. These challenges are more pronounced in rural areas. However, evidence on urban–rural disparities in non-adherence to iron supplementation remains limited, particularly in sub-Saharan Africa. This study examined these regional differences, stratified by income levels and national contexts. Method: This analysis utilised Demographic Health Survey (DHS) data conducted between 2015 and 2023 from 26 sub-Saharan African countries, including 287,642 women from urban (n = 91,566) and rural areas (n = 196,076). The outcome of this study was non-adherence to iron supplementation, defined as taking iron supplementation for less than 90 days during pregnancy. This study examines urban–rural differences in non-adherence stratified by country income levels based on World Bank 2022 income classifications and national context. A chi-square test was used to assess urban–rural differences, with a p-value of <0.05 considered statistically significant. Results: Non-adherence was significantly higher in rural areas (68.42%) than in urban areas (51.32%) (p < 0.001), with the disparity more pronounced in low-income countries (LICs). Ethiopia, Madagascar, Uganda, and Burundi were among the countries with the highest rural non-adherence, reflecting severe poverty and limited access to ANC. In contrast, Zimbabwe showed an inverse trend, where rural adherence was higher than urban. Conclusions: Rural sub-Saharan Africa has significantly higher non-adherence to iron supplementation, particularly in LICs, likely driven by systemic barriers such as poor infrastructure and limited access to healthcare. This non-adherence in rural areas undermines efforts to improve pregnancy and birth outcomes across the region. Targeted interventions, like those in Zimbabwe, can help address these inequities and improve maternal health outcomes. Full article

Background: Tetanus is a vaccine-preventable disease, and therefore vaccination of women of reproductive age or during pregnancy is recommended alongside childhood tetanus vaccination. Gender-related factors related to social empowerment have been established as determinants of health service utilization; however, these social determinants have not yet been explored directly with tetanus vaccination. In response, the aim of this study was to assess overall and country-specific gender-related barriers to maternal tetanus vaccine coverage. Methods: We used data from Demographic and Health Surveys (DHS) in 39 countries implemented between 2013 and 2022. Women’s empowerment was measured through three domains of the Survey-based Women’s emPowERment index (SWPER), as well as other gender-related variables. To assess the association between measures of women’s empowerment and gender-related factors and maternal tetanus immunization coverage, we used multilevel logistic models with pooled data from the 39 countries to analyze overall patterns, and we used multivariable logistic regression for each country-specific dataset to analyze country-level associations. Results: There were notable variations in the factors associated with tetanus vaccination across countries. Overall, we observed that higher levels of women’s empowerment, as measured through social independence and decision-making autonomy using the SWPER index, were associated with higher odds of maternal tetanus protection, with adjusted odds ratios of 1.23 (95%CI: 1.10–1.37) and 1.20 (95%CI: 1.02–1.40), respectively. However, women’s empowerment related to attitude to violence was not. Higher household wealth was also associated with higher odds of maternal tetanus protection overall. Conclusions: Women’s empowerment can improve the uptake of maternal tetanus vaccine. Addressing gender-related barriers may enhance vaccination coverage and contribute to the elimination of maternal and neonatal tetanus as a public health problem. However, these barriers vary from country to country, necessitating country-specific investigations to formulate tailored recommendations. Full article

Gender-based violence (GBV) is a profound and pervasive societal issue, disproportionately affecting women across diverse settings, including homes, workplaces, and public spaces. Despite its prevalence, significant challenges impede research on GBV, particularly regarding data collection, analysis, and ethical handling. This study investigates the complexities inherent in GBV research, focusing on the obstacles posed by under-reporting, ethical considerations, data quality, and the need for cross-comparative standards. Using a combination of police records, web scraping, news reports, and survey data from USAID’s Demographic and Health Surveys (DHS), our study examines strategies to work with sensitive GBV datasets, while maintaining data integrity. Our study advocates for improved demographic surveying and data integration methodologies that can enhance data accuracy and comparability. The findings suggest that while technological advancements, particularly generative AI and machine learning approaches, offer promising avenues for automating survey processes, reducing costs, and enhancing data collection efficiency, they present the limitations of secondary datasets, a lack of data disaggregation, and discrepancies in data coding systems, which highlight the necessity of refining global data standards. Full article

Background: Malnutrition among expectant mothers in underdeveloped areas is abundant and a serious public health concern. This study examines how maternal empowerment affects nutritional outcomes among under-five children in developing Asian nations. Objective: With an emphasis on nutritional outcomes, including stunting, wasting, and underweight, the main objective of this study is to investigate the connection between mother empowerment and child malnutrition and explore how better child health in developing Asian nations can be achieved through empowering mothers. Methods: Using Demographic and Health Survey (DHS) data of ten emerging Asian countries from three regions of Asia, this study evaluates maternal empowerment using the composite maternal empowerment index (CMEI) and examines how it relates to children’s nutritional health. For the assessment of the significance of the association between maternal empowerment and child health outcomes, statistical analysis was conducted. Results: Our results indicated that maternal empowerment and child health have a statistically significant relationship, especially regarding a reduction in the prevalence of stunting, wasting, and underweight conditions in children. At the same time, maternal education showed a significant role in reducing malnutrition in children in all three regions of Asia. Conclusion: In conclusion, developing Asian nations require empowering women. Also, it is essential to initiate nutrition programs, extension education, and synergistic working models that are especially suited to rural women. By strengthening mothers’ roles in promoting their children’s health, these initiatives can help solve the widespread problem of child malnutrition. Full article

Background: Exposure to household air pollution (HAP) is one of the primary risk factors for acute lower respiratory infection (ARI) morbidity and mortality among children in low-income settings. This study aimed to examine the relative contribution of residing in deprived neighbourhoods and exposure to HAP on the occurrence of ARI among children using data from the 2014–2015 Chad Demographic and Health Survey (DHS). Methods: We applied multilevel modelling techniques to survey data of 2882 children from 372 communities to compute the odds ratio (OR) for the occurrence of ARI between children of respondents exposed to clean fuels (e.g., electricity, liquid petroleum gas, natural gas, and biogas) and respondents exposed to polluting fuel (e.g., kerosene, coal/lignite, charcoal, wood, straw/shrubs/grass, and animal dung). Results: The results showed that children exposed to household polluting fuels in Chad were 215% more likely to develop ARI than those not exposed to household air pollution (OR = 3.15; 95% CI 2.41 to 4.13). Further analysis revealed that the odds of ARI were 185% higher (OR = 2.85; 95% CI 1.73 to 4.75) among children living in rural residents and those born to teenage mothers (OR = 2.75; 95% CI 1.48 to 5.15) who were exposed to household polluting fuels compared to their counterparts who were not exposed. In summary, the results of the study show that the risk of ARI is more common among children who live in homes where household air-polluting cooking fuel is widely used, those living in rural areas, those living in socioeconomically deprived neighbourhoods and from the least wealthy households, and those born to teenage mothers in Chad. Conclusions: In this study, an independent relative contribution of variables, such as HAP from cooking fuel, neighbourhood deprivation, living in rural areas, being from a low-income household, having a mother who is a manual labourer worker, and being given birth to by a teenage mother, to the risk of ARI among children is established. Full article

Background: Childhood malnutrition remains a significant global public health concern. The Demographic and Health Surveys (DHS) program provides specific data on child health across numerous countries. This meta-analysis aims to comprehensively assess machine learning (ML) applications in DHS data to predict malnutrition in children. Methods: A comprehensive search of the peer-reviewed literature in PubMed, Embase, and Scopus databases was conducted in January 2024. Studies employing ML algorithms on DHS data to predict malnutrition in children under 5 years were included. Using PROBAST (Prediction model Risk Of Bias Assessment Tool), the quality of the listed studies was evaluated. To conduct meta-analyses, Review Manager 5.4 was used. Results: A total of 11 out of 789 studies were included in this review. The studies were published between 2019 and 2023, with the major contribution from Bangladesh (n = 6, 55%). Of these, ten studies reported stunting, three reported wasting, and four reported underweight. A meta-analysis of ten studies reported a pooled accuracy of 68.92% (95% CI: 66.04, 71.80; I² = 100%) among ML models for predicting stunting in children. Three studies indicated a pooled accuracy of 84.39% (95% CI: 80.90, 87.87; I² = 100%) in predicting wasting. A meta-analysis of four studies indicated a pooled accuracy of 73.60% (95% CI: 70.01, 77.20; I² = 100%) for ML models predicting underweight status in children. Conclusions: This meta-analysis indicated that ML models were observed to have moderate to good performance metrics in predicting malnutrition using DHS data among children under five years. Full article

Introduction: Undernutrition in low- and middle-income countries (LMICs) remains a leading public health challenge. It accounts for one-third of the under-five mortality rate in sub-Saharan Africa (SSA). This study applied the composite index of anthropometric failure (CIAF) to assess the prevalence of various standalone and coexisting forms of undernutrition and identify associated risk factors. Methods: Nationally representative demographic health survey (DHS) data from 26 SSA countries were used. A multilevel multinomial logistic regression analysis was conducted considering the hierarchical nature of DHS data and more than two categories of outcome variable. Four models were fitted and the model with the highest log-likelihood and lowest deviance was chosen as the best-fitted model. The adjusted relative risk ratio (aRRR) with its corresponding 95% confidence interval (CI) was presented as a measure of the effect. Results: The overall prevalence of undernutrition among under-five children in SSA was 34.59% (95% CI: 34.35–34.82). Additionally, 20.49% (95% CI: 20.30–20.69) and 14.09% (95% CI: 13.92–14.26) of under-five children had standalone and coexisting undernutrition, respectively. The mother’s educational level and household wealth status were the most significant shared drivers for standalone and coexisting undernutrition. On the other hand, child and health service factors were differentiating factors between standalone and coexisting undernutrition. Age of the child, sex of the child, type of birth, birth weight, adherence to age-appropriate feeding, antenatal care visit (ANC), place of delivery, and maternal educational status were the most significant determinants of various undernutrition forms in 0–23-month-old children. For 24–59-month-old children, age of the child, sex of the child, type of birth, household wealth status, and maternal education were identified as the main determinants of different forms of undernutrition. Conclusions: Our analysis revealed that distal factors were shared risk factors among standalone and coexisting forms of undernutrition. However, proximal and intermediate factors varied in the type and strength of the association between standalone and coexisting undernutrition. This implies that holistic and category-specific strategies are needed to significantly reduce undernutrition among under-five children in SSA. Full article

Immunization through vaccines among children has contributed to improved childhood survival and health outcomes globally. However, vaccine coverage among children is unevenly distributed across settings and populations. The measurement of inequalities is essential for understanding gaps in vaccine coverage affecting certain sub-populations and monitoring progress towards achieving equity. Our study aimed to characterize the methods of reporting inequalities in childhood vaccine coverage, inclusive of the settings, data source types, analytical methods, and reporting modalities used to quantify and communicate inequality. We conducted a scoping review of publications in academic journals which included analyses of inequalities in vaccination among children. Literature searches were conducted in PubMed and Web of Science and included relevant articles published between 8 December 2013 and 7 December 2023. Overall, 242 publications were identified, including 204 assessing inequalities in a single country and 38 assessing inequalities across more than one country. We observed that analyses on inequalities in childhood vaccine coverage rely heavily on Demographic Health Survey (DHS) or Multiple Indicator Cluster Surveys (MICS) data (39.3%), and papers leveraging these data had increased in the last decade. Additionally, about half of the single-country studies were conducted in low- and middle-income countries. We found that few studies analyzed and reported inequalities using summary measures of health inequality and largely used the odds ratio resulting from logistic regression models for analyses. The most analyzed dimensions of inequality were economic status and maternal education, and the most common vaccine outcome indicator was full vaccination with the recommended vaccine schedule. However, the definition and construction of both dimensions of inequality and vaccine coverage measures varied across studies, and a variety of approaches were used to study inequalities in vaccine coverage across contexts. Overall, harmonizing methods for selecting and categorizing dimensions of inequalities as well as methods for analyzing and reporting inequalities can improve our ability to assess the magnitude and patterns of inequality in vaccine coverage and compare those inequalities across settings and time. Full article

The double burden of malnutrition (DBM) is escalating in low- and middle-income countries (LMICs), including in Rwanda, most notably in urbanizing areas. The 2019–2020 Rwanda Demographic Health Survey (DHS) revealed that 33% of children under 5 years old are stunted while 42% of women in urban areas are overweight or obese. This coexistence has contributed to a surge in non-communicable diseases (NCDs), particularly in secondary cities. Using the World Health Organization’s (WHOs) “double-duty action” (DDA) concept, this study aims to identify and evaluate interventions with double-duty potential in Rwanda’s Rusizi and Rubavu districts and generate key recommendations for their improvement. A desk review of national policies pinpointed four programs with the greatest DDA potential: early childhood development (ECD) centers, the school feeding program, farmer field schools (FFS), and the provision of nutrition-sensitive direct support. In-person interviews with key stakeholders assessed the implementation of each program and a Strengths, Weaknesses, Opportunities, and Threats (SWOT) analysis was used to generate context-specific recommendations for their improvement. The main finding of this research is that Rwanda’s potential to address the DBM can be improved across multiple sectors by implementing a few key changes: targeting beliefs surrounding nutrition, improving trainings for community educators, enhancing parent–particularly father–involvement, and engaging in close monitoring and follow-up. These findings offer actionable streps that governments and nutrition stakeholders can take to improve similar interventions in other rapidly urbanizing LMICs. Full article

In many developing countries, ensuring a stable and affordable supply of safe and nutritious food for urban dwellers, especially impoverished households, has become an urgent policy issue due to growing urban populations. Since urban and peri-urban agriculture (UPA) has emerged as a potential solution, research interest in UPA has increased. However, most studies have been conducted in specific African towns, and analyses in Asian countries are scarce. In addition, further research must be performed on urban and peri-urban livestock farming (UPLF), which may provide animal-based protein to the urban population. Therefore, this study aims to clarify who raises livestock in the urban and peri-urban areas of eight developing Asian countries using raw data from the Demographic and Health Survey (DHS). The aggregation results reveal that at least 10% of households keep livestock, with more than 30% of households in four of the eight Asian countries practicing UPLF. Poultry is the most common type of livestock, and the number of animals per household is usually limited. Logistic regression analysis reveals that poorer families are more likely to raise livestock, suggesting UPLF can enhance food and nutritional security for low-income households. Full article

A comprehensive knowledge of HIV and AIDS among men and women in Africa is reportedly low. To the best of our knowledge, no studies using any definition of comprehensive knowledge of HIV and AIDS have been conducted in Angola. To address this gap, we aimed to describe the comprehensive knowledge held by individuals aged between 15 and 49 years regarding HIV and AIDS and some associated factors, using the most recent Angolan demographic and health survey (DHS). Using an observational, cross-sectional design, we analyzed data collected from 19,785 individuals aged between 15 and 49 years for the 2016 DHS in Angola. We conducted a logistic regression analysis of descriptive and complex samples to examine the data and to unravel possible factors associated with having a comprehensive knowledge of HIV and AIDS. Almost half of the respondents (47.7%) had a general comprehensive knowledge of HIV and AIDS. Individuals who watched television (adjusted odds ratio [aOR]: 2.40; 95% CI: 2.11, 2.72) or read newspapers and magazines (aOR: 1.99; 95% CI: 1.72, 2.30) more than once a week had higher odds of having a comprehensive knowledge of HIV and AIDS compared to those who did not. Similarly, having completed primary education and above (aOR: 1.83; 95% CI: 1.67, 2.00) or living in urban areas (aOR: 1.51; 95% CI: 1.34, 1.71) increased the likelihood of individuals having a comprehensive knowledge of HIV and AIDS compared to their counterparts. These results reflect inequalities that require further attention at either a research or a political level. Nevertheless, we consider that these results can assist decision-makers in advocating for continuous investment in HIV health literacy and in adapting global solutions to local Angolan contexts. Full article

Ensuring access to adequate and equitable sanitation and ending open defecation by 2030 is the focus of Sustainable Development Goal 6.2 (SDG6.2). We evaluated Malawi’s progress towards SDG 6.2 (specifically the goal to end open defecation), presenting the results of a national survey of over 200,000 sanitary facilities and evaluating their management. Based on non-linear population dynamics, we used a linear model to evaluate the reduction in open defecation between 1992–2018, and to project whether Malawi can meet the SDG target to end open defecation by 2030 under multiple scenarios of population growth. Whilst Malawi has made considerable progress in providing sanitary provision for the population, we estimate that, at the current rate of the provision of sanitary facilities, Malawi will not reach SDG 6.2 by 2030 under any of the modelled socioeconomic scenarios. Furthermore, we compare the estimates of the extent of sanitary provision classed as improved from multiple surveys, including the USAID Demographic and Health (DHS) Surveys and Government of Malawi Census data. We conclude that some of the surveys (particularly the 2015/16 DHS) may be overestimating the level of improved sanitary provision, and we hypothesize that this is due to how pit-latrines with earth/sand slabs are classed. Furthermore, we examine the long-term sustainability of pit-latrine use, investigating the challenge of pit-latrine abandonment and identifying pit-latrine filling as a cause of the abandonment in 30.2% of cases. We estimate that between 2020–2070, 31.8 (range 2.8 to 3320) million pit-latrines will be filled and abandoned, representing a major challenge for the safe management of abandoned latrines, a potential for long-term impacts on the groundwater quality, and a significant loss of investment in sanitary infrastructure. For Malawi to reach SDG 6.2, improvements are needed in both the quantity and quality of its sanitary facilities. Full article

Adolescent pregnancy has important health and social implications. Despite the availability of nationally representative household survey data, there are limited studies that analyze factors associated with adolescent pregnancy across countries of South Asia. This study aimed to identify factors associated with adolescent pregnancy across South Asia. This study used the most recent Demographic and Health Survey (DHS) data from six countries in South Asia: Afghanistan, Bangladesh, India, the Maldives, Nepal, and Pakistan. Pooled individual record data from 20,828 ever-married women aged 15–19 years were used for the analysis. Multivariable logistic regression analysis, informed by the World Health Organization framework on social determinants of health, was performed to examine factors associated with adolescent pregnancy. Adolescent pregnancy was highest in Afghanistan compared to Bangladesh, Nepal, Pakistan, India, and the Maldives. Multivariable analyses confirmed that being from a poor household or male-headed household, increasing maternal age, having no access to newspapers, and having no knowledge of family planning were significantly associated with adolescent pregnancy. The use or intention to use contraceptives was protective against adolescent pregnancy. To reduce adolescent pregnancy in South Asia, interventions targeting adolescents from poor households with limited access to mass media should be considered, especially those from households with an existing patriarchal structure. Full article

Background: Africa is unlikely to end hunger and all forms of malnutrition by 2030 due to public health problems such as the double burden of malnutrition (DBM). Thus, the aim of this study is to determine the prevalence of DBM and degree of socio-economic inequality in double burden of malnutrition among children under 5 years in sub-Saharan Africa. Methods: This study used multi-country data collected by the Demographic and Health Surveys (DHS) Program. Data for this analysis were drawn from the DHS women’s questionnaire focusing on children under 5 years. The outcome variable for this study was the double burden of malnutrition (DBM). This variable was computed from four indicators: stunting, wasting, underweight and overweight. Inequalities in DBM among children under 5 years were measured using concentration indices (CI). Results: The total number of children included in this analysis was 55,285. DBM was highest in Burundi (26.74%) and lowest in Senegal (8.80%). The computed adjusted Erreygers Concentration Indices showed pro-poor socio-economic child health inequalities relative to the double burden of malnutrition. The DBM pro-poor inequalities were most intense in Zimbabwe (−0.0294) and least intense in Burundi (−0.2206). Conclusions: This study has shown that across SSA, among under-five children, the poor suffer more from the DBM relative to the wealthy. If we are not to leave any child behind, we must address these socio-economic inequalities in sub-Saharan Africa. Full article