Poorest Wealth Quintile Research Articles

Socio-demographic and economic factors associated with the consumption of processed foods in South Africa – Evidence from Demographic and Health Survey VII

ObjectiveThe primary objective of this study was to examine the socio-demographic and economic factors associated with the consumption of processed foods in South Africa. Study designThis is an empirical study where secondary data analysis was performed from the South African Demographic and Health Survey VII. MethodsA nationally representative sample of 10,336 participants (aged ≥15 years) was included in the analysis. Using regression models, we studied the association between socio-demographic and economic predictors and the intake of processed foods. ResultsThe regression models found that the odds of consumption of any type of processed foods were significantly high in all South African provinces but specifically higher in urban settings, those with any level of education, and young adults. The odds of processed meat consumption were significantly higher among the coloured population, while that of fried food, fast food, and salty snacks was significant in the white population. The odds of consumption increased irrespective of marital status and were higher among males, specifically among those in the poorer and poorest wealth quintiles. ConclusionThese findings warrant advocacy and action for healthy food choices in the population. The role of industry, ethnic vulnerability, and gender stereotypes in food preparation are areas that need priority attention.

Spatial variation and predictors of missing birth preparedness and complication readiness (BPCR) messages in Ethiopia

Background The Birth Preparedness and Complication Readiness (BPCR) message is one of the prenatal care packages targeted at reducing maternal and neonatal mortality by avoiding unnecessary delays during labor and delivery. There is limited evidence in Ethiopia that has looked at the spatial variation of missing BPCR messages and potential predictors. Hence, this study aimed to identify spatial predictors missing BPCR messages at the national level. Methods The study was based on analysis of 2016 Ethiopia Demographic Health Survey data, using a weighted sample of 4771 women. Arc-GIS version 10.7 and SaTScan version 9.6 statistical software were used for the spatial analysis. To explore spatial variation and locate spatial clusters of missing BPCR messages, the Global Moran’s I statistic and Bernoulli-based spatial scan (SaTScan) analysis were carried out, respectively. Hotspot (Getis-OrdGi*) analysis was conducted to identify Hotspots and Cold spotsof missing BPCR messages. Finally, spatial regression were carried out via ordinary least squares and geographically weighted regression to identify predictors of hotspots for missing BPCR messages. Results The overall prevalence of missing BPCR messages in Ethiopia was found to be 44.0% (95%CI: 42.6, 45.4%), with significant spatial variation across regions (Moran’s I = 0.218, p-value<0.001) and seven most likely significant SaTScan clusters. The vast majority of Somali, central Afar, and Gambella regions were identified as statistically significant hotspots. Living in the poorest wealth quintile, having only one ANC visit, lack of access to listening to the radio, facing difficulty in accessing money, not having a mobile phone, and being not covered by health insurance were identified as significant spatial predictors of missing BPCR messages. Conclusion The level of missing BPCR messages during pregnancy was found to be high in Ethiopia, with significant local variation. As a result, policymakers at the national level and local planners should develop strategies and initiatives that enhance women’s economic capacities, health-seeking behavior, and media exposure. Furthermore, the regional authorities should focus on strategies that promote universal health coverage through enrolling citizens in health insurance schemes.

Examining the disparities: A cross-sectional study of socio-economic factors and food insecurity in Togo.

Despite many interventions, Togo continues to have one of the highest rates of poverty and food insecurity in the sub-Saharan African region. Currently there is no systematic analysis of the factors associated with household food-insecurity in this country. This study aimed at exploring the factors associated with food insecurity in Togo. This was a cross-sectional study that used data from five waves (2014 to 2018) of the Gallup World Poll (GWP) for Togo. Sample size included 4754 participants, aged 15 and above. Food insecurity was measured using the Food Insecurity Experience Scale (FIES) questionnaire as per the Food and Agricultural Organization (FAO) guidelines. Our outcome variable was food insecurity, categorized as: 1) food secure (FIES score = 0-3), moderately food insecure (FIES score = 4-6), and severely food insecure (FIES score = 7-8). We did descriptive and multinomial regressions to analyze data using Stata version 16. Between 2014 and 2018, the percentage of severe food insecurity fluctuated-42.81% in 2014, 37.79% in 2015, 38.98% in 2016, 45.41% in 2017, and 33.84% in 2018. Whereas that of moderate food insecurity increased from 23.55% to 27.33% except for 2016 and 2017 where the percentage increased to 32.33% and 27.46% respectively. In the logistic regression analysis, we found that respondents with lower than elementary education had a higher relative risk ratio of moderate (RRR = 1.45,95%CI = 1.22-1.72) and severe (RRR = 1.72, 95%CI = 1.46-2.02) food insecurity compared to those with secondary and higher education. Rural respondents had higher RRR of severe food insecurity (RRR = 1.37, 95%CI = 1.16-1.62) compared to those who lived in the urban areas. Compared with those in the richest wealth quintile, respondents in the poorest wealth quintile had 2.21 times higher RRR of moderate (RRR = 2.21, 95%CI = 1.69-2.87) and 3.58 times higher RRR of severe (RRR = 3.58, 95%CI = 2.81-4.55) food insecurity. About two-thirds of participants experienced some level of food insecurity in 2018. Lower levels of education, rural residency and poorer household wealth index areas were associated with a higher risk of food insecurity. National food security programs should focus on promoting education and improving socioeconomic condition of people especially in rural areas.

Social Determinants and the Prevalence of Paan Masala Use among Adults in India: Results from Global Adult Tobacco Survey, 2016-17.

Gutkha or Paan masala with tobacco is commonly used smokeless tobacco product in India. Given the restrictions on advertisement and promotion of Gutkha and the necessity of warning labels on tobacco products, the tobacco industry has popularised paan masala without tobacco as a surrogate product. Paan masala itself is harmful for health but remains beyond scope of current tobacco control policies. It was important to understand prevalence and determinants of its use (with or without tobacco). Data from the Global Adult Tobacco Survey (GATS)-2, India was used to estimate prevalence of paan masala use (with or without tobacco) in India. Multi-nominal regression and logistic regression were used to calculate risk ratios and odds ratios. The prevalence of any form of paan masala was 12.1% among adults in India. Prevalence was higher among males (17.8%) than females (6.0%), aged 25-44 years (14.5%) than those aged 65 years or above (9.0%). Relative risk ratio (RRR) for Paan masala with tobacco was significantly high among those with no formal schooling (RRR:2.00) and among those in poorest wealth quintiles (RRR:1.26). While, RRR were lower for Paan masala use without tobacco among those with no formal schooling (RRR:0.95) and among poorest wealth quintiles (RRR:0.78). Region-wise AOR were highest for North-East (AOR:4.80) and Central regions (AOR:4.76) compared to South India. The prevalence of paan masala use is high in India. Persons belonging to lower socioeconomic status or having no formal schooling have higher risk of consuming paan masala with tobacco. However, persons from higher wealth quintiles or having formal schooling had higher risk of use of paan masala without tobacco. These findings need careful attention of policy makers and law enforcers as it indicates different marketing strategies might have adopted by industry to target these two mutually exclusive population groups.

Household food insecurity during the COVID-19 pandemic and associated socioeconomic demographic factors in Papua New Guinea: evidence from the Comprehensive Health and Epidemiological Surveillance System

IntroductionThe COVID-19 pandemic had an unprecedented impact on global food security, but little is known about the impact on food security at the household level. We examined the prevalence and...

Vaccination dropout and wealth related inequality among children aged 12-35 months in remote and underserved settings of Ethiopia: a cross-sectional evaluation survey.

Vaccination is one of the most cost-effective public health interventions that prevents millions of deaths. Although immunization coverage is increasing globally, many children in low- and middle-income countries drop out of the vaccination continuum. This study aimed at determining vaccination dropout rates and predictors in children aged 12-35 months in remote and underserved areas of Ethiopia. This study was part of a cross-sectional evaluation survey that was conducted in 2022 in Ethiopia. The study settings include pastoralist, developing & newly established regions, conflict affected areas, urban slums, internally displaced populations and refugees. A sample of 3,646 children aged 12-35 months were selected using a cluster sampling approach. Vaccination dropout was estimated as the proportion of children who did not get the subsequent vaccine among those who received the first vaccine. A generalized estimating equation was used to assess determinants of the dropout rate and findings were presented using an adjusted odds ratio with 95% confidence interval. Concentration curve and index were used to estimate wealth related inequality of vaccination dropout. A total of 3,646 caregivers of children participated in the study with a response rate of 97.7%. The BCG to Penta-3 (52.5%), BCG to MCV-2 (57.4%), and Penta-1 to Penta-3 (43.9%) dropouts were all high. The highest Penta-1 to Penta-3 dropout rate was found in developing regions (60.1%) and the lowest was in urban slums (11.2%). Caregivers who were working outside their homes [AOR (95% CI) = 3.67 (1.24-10.86)], who had no postnatal care follow-up visits [AOR (95%CI) = 1.66 (1.15-2.39)], who did not receive a service from a skilled birth attendant [AOR (95%CI) = 1.64 (1.21-2.27)], who were older than 45 years [AOR (95% CI) = 12.49 (3.87-40.33)], and who were less gender empowered [AOR (95%CI) = 1.63 (1.24-2.15)] had increased odds of Penta-1 to Penta-3 dropout. The odds of dropout for children from poor caregivers was nearly two times higher compared to their wealthy counterparts [AOR (95%CI) = 1.87 (1.38-2.52)]. Vaccination dropout estimates were high among children residing in remote and underserved settings. Poor wealth quintile, advanced maternal age, low women empowerment, and limited utilization of maternity care services contributed to vaccination dropout.

Depressive Symptoms among People Living with HIV Attending ART Centers of Lumbini Province, Nepal: A Cross-Sectional Study.

Depression is a common mental disorder and is a leading cause of disability globally. Depressive symptoms among people living with HIV can be a significant barrier to ART initiation and thus lead to poor ART adherence. Global studies have found the prevalence of depressive symptoms among people living with HIV ranges from 12 to 63%. The real scenario of Nepal still needs to be explored. Thus, this study aimed to identify the prevalence and predictors of depression in individuals with HIV. An institutional-based cross-sectional study was carried out from August to December 2020 among 406 people living with HIV attending ART centers in Lumbini province. Participants were selected using a systematic random sampling technique and surveyed with a structured questionnaire consisting of sociodemographic variables, HIV AIDS-related variables, and 21 items Beck Depression Inventory tool. The odds ratio was used as the ultimate measure of association, with a 95% confidence interval computed to establish statistical significance. A multivariate regression analysis was carried out to identify the final predictors of depressive symptoms. The study found that 26.8% of the respondents had depressive symptoms. Those who were literate (AOR = 0.24, 95% CI: 0.10-0.61), in the poorest wealth quintile (AOR = 7.28, 95% CI: 2.22-23.87), initiated ART within 12 months (AOR = 1.88, 95% CI: 1.03-3.42), had CD4 cell counts below 200 (AOR = 2.50, 95% CI: 1.54-4.06), and had a time difference of 3 months or less between HIV diagnosis and ART initiation (AOR = 0.50, 95% CI: 0.29-0.86) were independently associated with depressive symptoms. Routine screening for depressive symptoms should be integrated into national HIV prevention and control programs for people living with HIV. An enabling environment should be created to facilitate the rapid enrollment of individuals newly diagnosed with HIV in ART services, thereby reducing the time gap between HIV diagnosis and ART initiation.

High-risk pregnancy in India: Prevalence and contributing risk factors - a national survey-based analysis.

High-risk pregnancies (HRP) place women and their offspring at the highest risk for morbidity and mortality. Maternal and medical risks increase pregnancy risk and complications during pregnancy and childbirth. Here, we reported the current prevalence of high-risk pregnancies among Indian women, which is defined through various factors such as maternal, lifestyle, medical, current health risk and adverse birth outcomes. This is a cross-sectional study based on secondary data from India's National Family Health Survey-5 (NFHS-5). A total of 23 853 currently pregnant women were considered for analysis after considering the inclusion and exclusion criteria. The prevalence and contributing factors of high-risk pregnancies were estimated using descriptive statistics and logistic regression, respectively. The prevalence of high-risk pregnancies among Indian women was 49.4%, with 33% of women having a single high-risk, and 16.4% having multiple high-risk pregnancies. Notably, pregnant women from Meghalaya and Manipur states had 67.8% and 66.7% with one or more high-risk factors, respectively. About 31.1% of women had short birth spacing, and 19.5% of women had adverse birth outcomes during the last birth. Logistic regression analysis showed that women with no education (adjusted odds ratio (AOR) = 2.02; 95% confidence interval (CI) = 1.84-2.22) and the poorest wealth quintile (AOR = 1.33; 95% CI = 1.04-1.29) had significantly higher odds of having HRP than those with higher education and the highest wealth quintile, respectively. Nearly half of all pregnancies in India have one or more high-risk factors, which is a matter of concern, and the risks were higher among the vulnerable population such as no educated, poorest groups etc. The leading high-risk factors such as short-birth spacing, adverse birth outcomes, and caesarean deliveries should be addressed through the health policy and programmes.

Women empowerment domains and unmet need for contraception among married and cohabiting fecund women in Sub-Saharan Africa: A multilevel analysis based on gender role framework.

Low women empowerment, is a known contributing factor to unmet needs for contraception by limiting access to health services through negative cultural beliefs and practices. However, little is known about the association between unmet needs and domains of women empowerment in Sub-Saharan African (SSA) countries. Hence, this study aimed at assessing the influence of women empowerment domains on the unmet need for contraception in the region using the most recent Demographic and Health Survey (DHS) data (2016-2021). The data for the study was derived from the appended women's (IR) file of eighteen SSA countries. A weighted sample of 128,939 married women was analyzed by STATA version 16. The Harvard Institute's Gender Roles Framework, which comprised of influencer, resource, and decision-making domains was employed to identify and categorize the covariates across three levels. The effects of each predictor on the unmet need for spacing and limiting were examined using a multivariable multilevel mixed-effect multinomial logistic regression analysis. Adjusted relative risk ratio (aRRR) with its corresponding 95% confidence interval was used to declare the statistical significance of the independent variables. The pooled prevalence of unmet needs for contraception was 26.36% (95% CI: 24.83-30.40) in the region, with unmet needs for spacing and limiting being 16.74% (95% CI: 16.55, 17.02) and 9.62% (95% CI: 9.45, 12.78), respectively. Among variables in the influencer domain, educational level, family size of more than five, parity, number of children, attitude towards wife beating, and media exposure were substantially linked with an unmet need for spacing and limiting. Being in the poorest wealth quintile and enrollment in health insurance schemes, on the other hand, were the two variables in the resource domain that had a significant influence on unmet needs. The overall decision-making capacity of women was found to be the sole significant predictor of unmet needs among the covariates in the decision-making domain. Unmet needs for contraception in SSA countries were found to be high. Reproductive health program planners and contraceptive service providers should place due emphasis on women who lack formal education, are from low-income families, and have large family sizes. Governments should collaborate with insurance providers to increase health insurance coverage alongside incorporating family planning within the service package to minimize out-of-pocket costs. NGOs, government bodies, and program planners should collaborate across sectors to pool resources, advocate for policies, share best practices, and coordinate initiatives to maximize the capacity of women's decision-making autonomy.

Exploring health insurance and knowledge of the ovulatory cycle: evidence from Demographic and Health Surveys of 29 countries in Sub-Saharan Africa

BackgroundUnplanned pregnancy continues to be a major public health concern in Sub-Saharan Africa (SSA). Understanding the ovulatory cycle can help women avoid unplanned pregnancy. Though a wide range of factors for ovulatory cycle knowledge in SSA countries has not been well assessed, the influence of health insurance on ovulatory cycle knowledge is largely unknown. As a result, we set out to investigate the relationship between health insurance enrollment and knowledge of the ovulatory cycle among women of childbearing age. This study aims to investigate the relationship between health insurance enrollment and knowledge of the ovulatory cycle among women of childbearing age in sub-Saharan Africa (SSA).MethodsDemographic and Health Surveys (DHSs) data from 29 SSA countries were analyzed. The association between health insurance and ovulatory cycle knowledge was investigated using bivariate and multivariate multilevel logistic regression models among 372,692 women of reproductive age (15–49). The findings were presented as adjusted odds ratios (AOR) with 95% confidence intervals (CI). A p-value of 0.05 was considered statistically significant.ResultsThe pooled result shows that the prevalence of knowledge of ovulatory cycle in the studied 29 SSA countries was 25.5% (95% CI; 24.4%-26.6%). Findings suggest higher odds of ovulatory cycle knowledge among women covered by health insurance (AOR = 1.27, 95% CI; 1.02–1.57), with higher education (higher-AOR = 2.83, 95% CI; 1.95–4.09), from the richest wealth quintile (richest-AOR = 1.39, 95% CI; 1.04–1.87), and from female headed households (AOR = 1.16, 95% CI; 1.01–1.33) compared to women who had no formal education, were from the poorest wealth quintile and belonged to male headed households, respectively. We found lower odds of ovulatory cycle knowledge among women who had 2–4 parity history (AOR = 0.80, 95% CI; 0.65–0.99) compared to those with history of one parity.ConclusionsThe findings indicate that the knowledge of the ovulatory cycle is lacking in SSA. Improving health insurance enrollment should be considered to increase ovulatory cycle knowledge as an approach to reduce the region's unplanned pregnancy rate. Strategies for improving opportunities that contribute to women’s empowerment and autonomy as well as sexual and reproductive health approaches targeting women who are in poorest quintiles, not formally educated, belonging to male headed households, and having high parity should be considered.

Disparities, distribution, and determinants in appropriate timely initiation, number, and quality of antenatal care in Bangladesh: Evidence from Demographic and Health Survey 2017-18.

Like many other low- and middle-income countries, Bangladesh experiences a disproportionately higher number of maternal and neonatal deaths compared to high-income countries. Despite this, a majority of pregnant women in Bangladesh do not receive appropriate antenatal care (ANC). We investigated the disparities, distribution, and determinants of the timing, number, and quality of ANC in this country. This cross-sectional study analyzed Bangladesh Demographic and Health Survey (BDHS) 2017-18 data on ever-married reproductive-age (i.e., 15-49-year-olds) women. After describing the study sample and proportions, multilevel logistic regression was applied to study determinants. The prevalence and odds of the studied outcomes were higher among women with higher parity, a higher education level, more highly educated husbands, urban residence, and residence in some administrative divisions (p<0.05). For instance, among women in the poorest, poorer, middle, richer, and richest wealth quintiles, the proportions of those who initiated ANC during the first trimester were 22.2% (95% confidence interval (CI): 19.6-25.0), 30.1% (95% CI: 27.1-33.2), 35.1% (95% CI: 31.7-38.6), 38.5% (95% CI: 35.2-42.0), and 61.0% (95% CI: 57.5-64.3). Then, compared to women in the poorest wealth quintile, the adjusted odds ratio (AOR) for ANC initiation was higher among those in the poorer (AOR: 1.3, 95% CI: 1.1-1.7), middle (AOR: 1.5, 95% CI: 1.2-1.9), richer (AOR: 1.4, 95% CI: 1.1-1.8), and richest (AOR: 2.7, 95% CI: 2.1-3.5) household wealth quintiles. Given the importance of appropriate ANC, it is crucial to increase awareness and coverage among women with low socioeconomic status and rural residence, among other factors studied.

Utilization of Maternal Healthcare Services Among Tribal Women in Empowered Action Group States in India

Maternal and Child Health (MCH) care services mainly focus on the utilization among tribal women in Empowered Action Group (EAG) states in India. For this study, the NFHS-4 (2015–2016) data were used. Analysis was performed on 54,448 women aged between 15–49, who have a child below 5 years of age, by using bivariate logistics regression, chi-squared test and the Moran-I (Univariate) statistical techniques. Results show that only 11% of tribal women accessed full Antenatal Care (ANC), and 54% of women received Postnatal Care (PNC) in EAG states. More than one-third (34%) of tribal women delivered in their homes compared to institutional delivery (66%). Women with higher education are significantly more likely to utilize ANC and have institutional delivery compared to the women with no-education. Also, mothers from the most abundant wealth status are significantly more likely to receive ANC and PNC and have institutional delivery compared to women with poorest wealth quintile. Considering the inter-EAG states comparison, state like Bihar, Jharkhand, Madhya Pradesh, Rajasthan, Uttar Pradesh and Uttarakhand are performing poorly. Hence, out of all EAG states districts almost 3–7 districts from (low–high) and 8–11 districts from (high–low) groups show negative autocorrelation or outliers to received MCH care services. Despite continuous and improving efforts of the government, the utilization of MCH services is very low among tribal women in the EAG states of India.

Geographic and socioeconomic inequities in cesarean delivery rates at the district level in Madhya Pradesh, India: A secondary analysis of the national family health survey-5

ABSTRACT Background In India, caesarean delivery (CD) accounts for 17% of the births, of which 41% occur in private facilities. However, areas to CD in rural areas are limited, particularly for the poor populations. Little information is available on state-wise district-level CD rates by geography and the population wealth quintiles, especially in Madhya Pradesh (MP), the fifth most populous and third poorest state. Objective Investigate geographic and socioeconomic inequities of CD across the 51 districts in MP and compare the contribution of public and private healthcare facilities to the overall state CD rate. Methods This cross-sectional study utilised the summary fact sheets of the National Family Health Survey (NFHS)-5 performed from January 2019 to April 2021. Women aged 15 to 49 years, with live births two years preceding the survey were included. District-level CD rates in MP were used to determine the inequalities in accessing CD in the poorer and poorest wealth quintiles. CD rates were stratified as <10%, 10–20% and >20% to measure equity of access. A linear regression model was used to examine the correlation between the fractions of the population in the two bottom wealth quintiles and CD rates. Results Eighteen districts had a CD rate below 10%, 32 districts were within the 10%–20% threshold and four had a rate of 20% or higher. Districts with a higher proportion of poorer population and were at a distance from the capital city Bhopal were associated with lower CD rates. However, this decline was steeper for private healthcare facilities (R2 = 0.382) revealing a possible dependency of the poor populations on public healthcare facilities (R2 = 0.009) for accessing CD. Conclusion Although CD rates have increased across MP, inequities within districts and wealth quintiles exist, warranting closer attention to the outreach of government policies and the need to incentivise CDs where underuse is significant.

Determinants of Female Genital Mutilation Among Under Five-Year Children in Motta Town, Northwest Ethiopia, 2022: Unmatched Case Control Study.

Female genital mutilation is the removal of a woman's external genitalia in whole or in part for a non-obvious medical reason. Female genital mutilation causes short- and long-term complications like bleeding, pain, infection and exposes girls to sexually transmitted diseases. The determinants of female genital mutilation among children under the age of five have received less attention. As a result, the purpose of this study was to determine the factors that influence female genital mutilation in children under the age of five. A community-based unmatched case control study design was used. The study participants were chosen using computer-generated simple random sampling technique. With a ratio of 1:4 between cases and controls, 323 participants were recruited. Data were collected using an interviewer-administered questionnaire. The association between each independent variable and the dependent variable was determined using binary logistic regression. In a multivariable analysis, variables were considered statistically significant if they had a P-value of less than 0.05 at a 95% confidence interval. In this study, mothers' circumcision status (AOR = 4.6; 95% CI: 2.29-9.25), mothers who had an unfavorable attitude (AOR = 4.15; 95% CI: 1.96-8.82), households in the poorest wealth quintile (AOR = 3.65; 95% CI: 1.2-11.54), mothers who had inadequate knowledge (AOR = 3.31; 95% CI: 1.51-7.25) and antenatal care visit of mothers (AOR = 2.46; 95% CI: 1.03-5.83) were found to be determinant factors of female genital mutilation. Mothers' circumcision status, mother's attitude, wealth quintile, knowledge of mothers, and number of antenatal care visits were factors associated with female genital mutilation. Regular awareness-building on the impacts of the practice and special attention to the mother's attitude are important to eliminate female genital mutilation.

Inequalities in Immunization against Maternal and Neonatal Tetanus: A Cross-Sectional Analysis of Protection at Birth Coverage Using Household Health Survey Data from 76 Countries.

Substantial progress in maternal and neonatal tetanus elimination has been made in the past 40 years, with dramatic reductions in neonatal tetanus incidence and mortality. However, twelve countries have still not achieved maternal and neonatal tetanus elimination, and many countries that have achieved elimination do not meet key sustainability thresholds to ensure long-lasting elimination. As maternal and neonatal tetanus is a vaccine-preventable disease (with coverage of the infant conferred by maternal immunization during and prior to pregnancy), maternal tetanus immunization coverage is a key metric for monitoring progress towards, equity in, and sustainability of tetanus elimination. In this study, we examine inequalities in tetanus protection at birth, a measure of maternal immunization coverage, across 76 countries and four dimensions of inequality via disaggregated data and summary measures of inequality. We find that substantial inequalities in coverage exist for wealth (with lower coverage among poorer wealth quintiles), maternal age (with lower coverage among younger mothers), maternal education (with lower coverage among less educated mothers), and place of residence (with lower coverage in rural areas). Inequalities existed for all dimensions across low- and lower-middle-income countries, and across maternal education and place of residence across upper-middle-income countries. Though global coverage changed little over the time period 2001-2020, this obscured substantial heterogeneity across countries. Notably, several countries had substantial increases in coverage accompanied by decreases in inequality, highlighting the need for equity considerations in maternal and neonatal tetanus elimination and sustainability efforts.

The path between socioeconomic inequality and cognitive function: A mediation analysis based on the HAALSI cohort in rural South Africa.

Socioeconomic position (SEP) strongly predicts late-life cognitive health, yet the pathways between SEP and cognitive function remain unclear. This study assessed whether and to what extent the association between SEP and cognitive function in the adult population in rural South Africa is mediated by some health conditions, behavioral factors, and social capital factors. In this cross-sectional study, we used data from the 2014-15 "Health and Aging Africa: A Longitudinal Study of an INDEPTH Community in South Africa" (HAALSI) cohort, including 5,059 adults aged 40+ years from the Agincourt sub-district in Mpumalanga Province, South Africa. SEP, the independent variable, was measured based on ownership of household goods. Cognitive function, the dependent variable, was assessed using questions related to time orientation and immediate and delayed word recall. We used the multiple-mediation analysis on 4125 individuals with complete values on all variables to assess the mediating roles of health conditions (hypertension, diabetes, obesity, and disability), behavioral factors (leisure physical activity, alcohol consumption, and tobacco smoking), and social capital factors (community's willingness to help, trust, sense of safety, and social network contact) in the association between SEP and cognitive function. Compared to adults in the poorest wealth quintile, those in the richest wealth quintile had better cognition (β = 0.903, p < 0.001). The mediation analysis revealed that health conditions mediated 20.7% of the total effect of SEP on cognitive function. In comparison, 3.3% was mediated by behavioral factors and only 0.7% by social capital factors. In the multiple-mediator model, 17.9% of the effect of SEP on cognitive function was jointly mediated by health conditions, behavioral factors, and social capital factors. Low socioeconomic position is a significant factor associated with poor cognitive function among adults aged 40 years and above in South Africa. Health conditions mainly mediate the effects between SEP and cognitive function. Therefore, actions to prevent and control chronic health conditions can serve as the entry point for intervention to prevent poor cognitive function among people with low socioeconomic status.

Sleep and physical activity patterns among Tanzanian, South African, and Côte d’Ivoire primary schoolchildren. Findings from the KaziAfya study

Introduction Sleep and physical activity habits during childhood are influenced by developmental, cultural and environmental factors. Poor sleep is associated with lower immune function, physical activity levels, and psychological functioning, thus contributing to a vicious cycle of increased vulnerability during this developmental period. Regular physical activity, in turn, is associated with better sleep, improved immune function, and higher psychological well-being. There is, however, a lack of research on sleep and physical activity patterns in Sub-Saharan Africa, especially among children from marginalized areas. Therefore, the present study has two objectives: First, it aims to fill a gap in the literature by reporting sleep and physical activity patterns among primary schoolchildren aged 6-12 years from Tanzania (Ifakara: N = 845), South Africa (Gqeberha: N = 1,287), and Côte d’Ivoire (Taabo: N = 1,027). Second, to investigate the relationship between habitual physical activity (7-day actigraphy) and sleep (parental and self-reported). Methods Thousand three-hundred and twenty children aged 5-12 years from each country were recruited. Sleep. Parents were asked to complete a few sleep-related questions regarding their child`s bed- and rise times. To assess sleep quality, children completed questions from the Pittsburgh Sleep Quality Index (Buysse et al., 1989). To screen for sleep disturbances, children also answered three items of the Insomnia Severity Index (Morin et al., 2011), addressing difficulty falling asleep, staying asleep and waking up too early in the morning. Physical Activity. Objective physical activity was assessed with an accelerometry (Actigraph wGT3x-BT, Shalimar, FL, USA) worn around the hip. The device was worn for 7 consecutive days to assess a full weekly period, with a sampling epoch of 15 sec (Rowlands, 2007). Time per day spent in MPA (&gt;3 MET [metabolic equivalents of task]) and VPA (&gt;6 MET) is determined based on the raw accelerometry counts and the ActiLife computer software, with cut-off values derived from Freedson et al. (1998). The ActiGraph accelerometrys have been validated with children (Crouter et al., 2013; Hänggi et al., 2013). Results Children assessed in Côte d’Ivoire and Tanzania showed higher levels of daily physical activity (MVPA) than those assessed in South Africa. Yet, mean group levels still exceeded the recommended amount of 60 min MVPA/day. Across all three countries, boys generally had higher MVPA levels than their female peers, and children from the poorest wealth quintile were also more active than their peers from the least poor quintile. Composite sleep health was significantly different between countries, with the highest scores reported in Tanzania, followed by Côte d’Ivoire and South Africa. After controlling for sex, it was found that MVPA significantly predicted composite sleep health among children in Tanzania (ß = 5.83, p = .002) and Côte d’Ivoire (ß = 3.41, p = .072), but not in South Africa (ß = 0.67, p &gt; .05). Discussion/Conclusion Adequate sleep and physical activity is crucial for children’s physical and mental development. Most of our understanding of the relationship between daily physical activity and sleep patterns is based on research conducted in Western high income countries. Currently, little is known about this association in children from Sub-Saharan African, specifically primary schoolchildren living in marginalized areas in Tanzania, South Africa, and Côte d’Ivoire. Results will reveal whether research from high-income countries is generalizable to low- or middle-income countries, and inform health policy makers on points for prevention and intervention in school-based settings.

Death registration coverage 2019–2021, India

To investigate coverage and factors associated with death registration in India. We used data from the Indian National Family Health Survey 2019-2021. Based on responses of eligible household members, we estimated death registration in 84 390 deaths in all age groups across the country. We used multilevel logistic regression analysis to determine sociodemographic variables associated with death registration at state, district and individual levels. Nationally, 70.8% (59 748/84 390) of deaths were registered. Of 707 districts in our study period, 122 and 53 districts had death registration levels less than 40% in females and males, respectively. The likelihood of death registration was significantly lower for females than males (adjusted odds ratios, aOR: 0.61; 95% confidence interval, CI: 0.59-0.64). Death registration increased significantly with age of the deceased person, with the highest odds in 35-49-year-olds (aOR: 5.05; 95% CI: 4.58-5.57) compared with 0-4-year-olds. Death registration was less likely among rural households, disadvantaged castes, the poorest wealth quintile, Muslims and households without a below poverty level card. Higher education was associated with higher death registration with the greatest likelihood of registration in households with a member with post-secondary school education (aOR: 1.54; 95% CI: 1.42-1.66). District-level factors were not significantly associated with death registration. Sociodemographic characteristics of the deceased person were significantly associated with death registration. Strategies to raise awareness of death registration procedures among disadvantaged population groups and the introduction of a mobile telephone application for death registration are recommended to improve death registration in India.

Escherichia coli Contamination of Water for Human Consumption and Its Associated Factors in Peru: A Cross-Sectional Study.

The objective of the study was to determine the factors associated with the presence of Escherichia coli contamination in water supplies for human consumption in Peru. A secondary analysis of the Food and Nutrition Surveillance by Life Stages survey (VIANEV) of 2017-2018 was performed. The presence of E. coli contamination in the water samples for human consumption of the households evaluated was defined as a dependent variable. A supply was considered contaminated when there was at least 1 colony-forming unit of E. coli in 100 mL of water for human consumption. Data from 886 participants were analyzed. It was found that 25.2% of household water supply sources for human consumption had E. coli at the time of sampling. Water reservoirs such as buckets or other containers (adjusted prevalence ratio [aPR]: 1.15; 95% confidence interval [CI]: 1.18-1.93), households belonging to a poor wealth quintile (aPR: 1.82; 95% CI: 1.01-3.25), residing in a rural area (aPR: 1.36; 95% CI: 1.01-1.83), and having a low human development index (aPR: 2.12; 95% CI: 1.15-3.91) were more likely to contain E. coli in water supplies for human consumption. However, households with chlorine concentrations of 0.5 mg/L or more in water (aPR: 0.20; 95% CI: 0.11-0.33) and with household members with a higher education (aPR: 0.67; 95% CI: 0.45-0.99) were less likely to contain E. coli in drinking-water supplies. From 2017 to 2018, one in four Peruvians had contamination by E. coli in the water supply to their homes, which was associated with sociodemographic factors, management, and water treatment.

Burden of Anaemia, Hypertension and Diabetes among pregnant women in India.

Non-communicable Diseases such as anaemia, hypertension and diabetes and their treatment may upsurge the risk of childbirth-related complications for both women and their babies. The present study is an attempt to assess the level and determinants of Anaemia, Hypertension and Diabetes among pregnant women using the fourth round of National Family Health Survey-4 (2015-16) data. Bivariate and logistic regression techniques have been used for data analysis. Study findings suggest that the prevalence of anaemia among pregnant women was found to be 25.9%, whereas the corresponding figure for hypertension and diabetes were 4.4% and 2.4%, respectively. Further, substantial socio-economic differentials have been observed in the prevalence of Anaemia, Hypertension and Diabetes among pregnant women. Results of regression analysis suggest that anaemia and hypertension were significantly higher among women in their third trimester [(OR = 2.10; p < 0.001) and (OR = 1.63; p < 0.001)], respectively, compared to women in the first trimester. Similarly, pregnant women in the age group 35-49 were at an elevated risk of hypertension (OR = 2.78; p < 0.001)) and diabetes (OR = 2.50; p < 0.001)) compared to women aged 15-24. Further, the risk of anaemia was found to be significantly lower among pregnant women from the richest quintile (OR = 0.71; p < 0.001) and women with higher educational level (OR = 0.72; p < 0.001) when compared to women from the poorest wealth quintile and women with no formal education respectively. Similarly, pregnant women from the richest quintile (OR = 1.68; p < 0.001) and women from other religion (OR = 1.75; p < 0.001) are significantly more likely to develop diabetes compared to women from the poorest quintile and women from the Hindu religion, respectively. In conclusion, early screening for predicting the risk of gestational anaemia, gestational diabetes, and gestational hypertension is critical in minimizing maternal and reproductive outcomes. The existing guidelines for Screening and Management of Gestational Diabetes, Gestational Hypertension need to be contextualized and modified according to a local need for effective treatment.