Geospatial inequalities and determinants of nutritional status among women and children in Afghanistan: an observational study

Cross-sectional study of determinants of undernutrition among children aged 6-36 months in Kabul, Afghanistan

OBJECTIVES

The current study aimed to find the distribution and factors associated with undernutrition among children aged 6-36 months in Kabul.

DESIGN

Cross-sectional study.

SETTING

Public Ataturk Children's Hospital, Kabul.

PARTICIPANTS

385.

METHODS

A structured questionnaire was used to collect data on sociodemographic conditions and anthropometry of children. Logistic regression was used to find determinants of undernutrition.

RESULTS

The distribution of stunting, wasting and underweight was 38.7%, 11.9% and 30.6%, respectively. Among the children studied, 54% did not receive breast milk within the first hour of birth, 53.2% were not exclusively breastfed, 21% received complementary feeding before the age of 6 months, 22.1% lacked access to safe water and 44.7% did not practise hand washing with soap. The odds of stunting were lower (p<0.05) in girls (AOR 5.511, 95% CI 3.028 to 10.030), children of educated fathers (OR 0.288, 95% CI 0.106 to 0.782), those from nuclear families (OR 0.280, 95% CI 0.117 to 1.258), those exclusively breastfed (OR 0.499, 95% CI 0.222 to 1.51) and those practising good hygienic practices (OR 0.440, 95% CI 0.229 to 0.847). Boys had high odd of girls (OR 6.824, 95% CI 3.543 to 13.143) while children of educated fathers (OR 0.340, 95% CI 0.119 to 0.973), those receiving complementary food at 6 months (OR 0.368, 95% CI 0.148 to 1.393) and those practising good hygiene (OR 0.310, 95% CI 0.153 to 0.631) had lower odds (p<0.05) of being underweight. Boys (OR 3.702, 95% CI 1.537 to 8.916) had higher odds of being wasted, whereas children of educated mothers (OR 0.480, 95% CI 0.319 to 4.660), those from nuclear families (OR 0.356, 95% CI 0.113 to 1.117), those receiving early breast feeding (OR 0.435, 95% CI 0.210 to 1.341) and those practising hand washing (OR 0.290, 95% CI 0.112 to 0.750) had lower odds (p<0.05) of being wasted.

CONCLUSION

This study demonstrated the sex of the child, illiteracy of fathers, not practising hand washing and not observing hygiene, late initiation of breast milk, complementary feeding timings, and lack of proper exclusive breast feeding as contributing factors to the under-nutrition of the children in the study population.

Prevalence of stunting and its correlates among children under 5 in Afghanistan: the potential impact of basic and full vaccination

BACKGROUND

Child stunting is prevalent in low and middle-income countries (LMICs), but an information gap remains regarding its current prevalence, correlates, and the impact of vaccination against this condition in Afghanistan. This study aimed to determine the prevalence and correlates of moderate and severe stunting and the potential impact of basic and full vaccination among children under five in Afghanistan.

METHODS

This is a secondary analysis of the 2022-23 Afghanistan Multiple Indicators Cluster Survey (MICS) including 32,989 children under 5. Descriptive statistics were employed to describe the distribution of independent variables and the prevalence of stunting across them. Chi-square analysis was used to examine the association between each independent variable with stunting. Multinomial logistic regression was used to examine the risk of stunting across different independent variables.

RESULTS

A total of 32,989 children under 5 years old were included in this study. Of those 44.7% were stunted with 21.74% being severely stunted. Children aged 24-35 and 36-47 months faced the highest risk as compared to those aged 1-5 months. The prevalence was lower in female children and they were less likely to experience severe stunting. Stunting was more prevalent in rural areas, with children there 1.16 to 1.23 times more likely to be affected than urban counterparts. Lower wealth correlated with higher stunting. Younger maternal age at birth (≤ 18) correlated with increased stunting risks, particularly in severe cases. Parental education was inversely related to stunting; higher education levels in parents, especially fathers, were associated with lower stunting rates. Households with more than seven children showed a 25% and 44% higher risk of moderate and severe stunting, respectively, compared to families with 1-4 children. Improved sanitation, but not drinking water sources, was linked to reduced stunting in the adjusted model. Vaccination had a protective effect; in the adjusted analysis, basic and full vaccinations significantly lowered the risk of severe stunting by 46% and 41%, respectively.

CONCLUSION

In this nationally representative study, the prevalence of stunting was substantial (44.7%) in Afghan children. Additionally, the findings emphasize the critical factors associated with child stunting and underscore the protective role of vaccination against this condition, which provides policymakers with directions for policy efforts and intervention strategies to reduce child stunting in Afghanistan.

Adolescent pregnancy is associated with child undernutrition: Systematic review and meta-analysis

Adolescent pregnancy is associated with poor fetal growth and development which, in turn, increases the risk of childhood wasting and underweight. However, evidence on how young maternal age affects childhood anthropometry beyond the neonatal period is limited. This systematic review and meta-analysis examined associations between adolescent pregnancy and child wasting and underweight and explored potential underlying social and biological factors. Peer-reviewed literature published in English since 1990 was systematically searched. Eligible studies presented data on wasting and/or underweight in children (≤59 months) born to adolescent mothers (10-19, or ≤24 years where applicable) from low- and middle-income countries. Data extraction used a predefined extraction sheet. Both meta-analysis and qualitative synthesis were performed. Of 92 identified studies, 57 were included in the meta-analysis. The meta-analysis showed that children born to adolescent versus adult mothers were at a higher risk of moderate (odds ratio [OR]: 1.12, 95% confidence interval [CI]: 1.00-1.26 p = 0.04) and severe underweight (OR: 1.21, 95% CI: 1.08-1.35 p < 0.01). Associated risk of wasting was not statistically significant: (OR: 1.05, 95% CI: 0.98-1.12 p = 0.17); severe wasting (OR: 1.16, 95% CI: 0.68-1.96 p = 0.59). These findings were supported by the qualitative synthesis. Evidence on the potential role of biological/social factors was limited, but suggested an intermediary role of maternal nutritional status which warrants further exploration. Particularly in contexts where adolescent pregnancy remains common, interventions to both delay adolescent pregnancy and improve adolescent nutritional status could help reduce the risk of undernutrition in children and contribute to breaking the intergenerational cycle of malnutrition.

Community Clustering of Food Insecurity and Malnutrition Associated With Systemic Drivers in Chad

BACKGROUND

Chad suffers from protracted hunger, facing high food insecurity (Integrated Food Security Phase Classification 3 and above), and acute malnutrition levels that surpass the emergency threshold (15% global acute malnutrition) yearly. The Food Security Sector, with European Union support, leads an inclusive effort to increase synergy between humanitarian, development, and peace-building actors to understand and address drivers of hunger.

OBJECTIVE

To understand the spatial distribution of child wasting and household food insecurity and systemic drivers (conflict, livelihoods, vegetation, cultural norms) as well as better understand the relationship between child wasting and household food insecurity in Kanem and Bahr el Ghazal (BeG) region, Chad, with the goal of improving nexus programming and targeting.

METHODS

A cross-sectional randomized cluster survey was conducted in August 2021 in Kanem and BeG across 86 villages, reaching 7002 households and 6136 children. Data were collected on child anthropometry, household food security, and livelihoods. Using mixed methods, primary data were triangulated with secondary geospatial data on vegetation index and conflicts as well as qualitative interviews with local actors. Analysis was conducted using comparison tests, linear and logistic crude, and adjusted models, as well as looking at the design effect as a measure of clustering of outcomes at the community level.

RESULTS

The geospatial distribution of hunger indicators shows child wasting and food insecurity are highly clustered. However, communities with a high prevalence of child wasting were not those with the highest levels of food insecurity, indicating different pathways. Clustering of food insecurity and child wasting is due to basic drivers of conflict, health, and seasonal access to natural resources.

CONCLUSIONS

The high levels of food insecurity and child wasting are each concentrated in specific survey clusters and are not necessarily connected. They result from different causal pathways at the community level linked to the systemic drivers of the rule of access to natural resources, environmental seasonality, and livelihoods. This suggests a greater need for an integrated humanitarian, development, and peace-building interventions to address the persistent high prevalence of food insecurity and child wasting. It also suggests that these community-level and systemic drivers require greater consideration from the start in research design and data collection.

Double burden of malnutrition among women in reproductive Age (15-49 years) in Sierra Leone: a secondary data analysis of the demographic health survey 2019 (SLDHS-2019)

BACKGROUND

The double burden of malnutrition (DBM) is rising globally, particularly in sub-Saharan Africa. In Sierra Leone, the incidence of overweight, obesity (OWOB), and overnutrition among women has sharply increased. This finding accompanies the high incidence of undernutrition, which has been prevalent for decades. This study aimed to determine the prevalence of different malnutrition categories (underweight, overweight, obesity, and overnutrition) and associated factors among women of reproductive age (15-49 years) in Sierra Leone using secondary data analysis of the Sierra Leone Demographic Health Survey of 2019 (SLDHS-2019).

METHODS

We conducted secondary data analysis of the SLDHS-2019 of 7,514 women aged 15-49 years. We excluded pregnant, post-natal, lactating, and post-menopausal women. Data was collected using validated questionnaires, and respondents were selected through a multistage stratified sampling approach. A multivariable logistic regression analysis was used to determine factors associated with malnutrition among 15-49-year-old women in Sierra Leone.

RESULTS

Among 15-49-year-old women in Sierra Leone, the prevalence of underweight was 6.7% (95%CI: 4.5-8.9%); overweight at 19.7% (95%CI: 17.7-21.7%); obesity was 7.4% (95% CI: 5.2-9.6%); and overnutrition, 27.1% (95%CI: 25.2-29.0%). Women aged 25-34 years were more likely to be underweight (adjusted Odds Ratios, aOR = 1.670, 95%CI: 1.254-2.224; p < 0.001) than those aged 15-24 years; women who were not married were less likely to be underweight (aOR = 0.594, 95%CI: 0.467-0.755; p < 0.001) than married women. Women from the North were less likely to be underweight (aOR = 0.734, 95%CI: 0.559-0.963; p = 0.026) than the East, and those who did not listen to the radio were less likely to be underweight (aOR = 0.673; 95%CI: 0.549-0.826; p < 0.001) than those who did. Overweight was less likely among 25-34 years (aOR = 0.609, 95%CI: 0.514-0.722; p < 0.001) and 35-49 years (aOR = 0.480, 95%CI: 0.403-0.571; p < 0.001) age-groups than 15-24 years; more likely among not married women (aOR = 1.470, 95%CI:1.249-1.730; p < 0.001) than married; less likely among working-class (aOR = 0.840, 95%CI: 0.720-0.980; p = 0.026) than not working-class; most likely in women from the North (aOR = 1.325, 95%CI:1.096-1.602; p = 0.004), and less likely among women from the South (aOR = 0.755, 95%CI: 0.631-0.903; p = 0.002) than the East; less likely among women of middle-wealth-index (aOR = 0.656, 95%CI: 0.535-0.804; p < 0.001), richer-wealth-index (aOR = 0.400, 95%CI: 0.309-0.517; p < 0.001), and richest-wealth-index (aOR = 0.317, 95%CI: 0.234-0.431; p < 0.001) than the poorest-wealth-index; and more likely among women who did not listen to radios (aOR = 1.149; 95%CI:1.002-1.317; p = 0.047) than those who did. The predictors of overweight among women 15-49 years are the same as obesity and overnutrition, except overnutrition and obesity were less likely in female-headed households (aOR = 0.717,95%CI: 0.578-0.889; p < 0.001).

CONCLUSION

The prevalence of all categories of malnutrition among women of reproductive age in Sierra Leone is high, affirming a double burden of malnutrition in this study population. Underweight was more likely among the 25-34-year age group than 15-24-year. The predictors of overweight, obesity, and overnutrition were being unmarried/single, residing in the North, and not listening to the radio. There is an urgent need for policymakers in Sierra Leone to design comprehensive educational programs for women of reproductive age on healthy lifestyles and the dangers of being underweight or over-nourished.

Strikes and Gutters: Biomarkers and anthropometric measures for predicting diagnosed diabetes mellitus in adults in low- and middle-income countries

The management of diabetes necessitates the requirement of reliable health indices, specifically biomarkers and anthropometric measures, to detect the presence or absence of the disease. Nevertheless, limited robust empirical evidence exists regarding the optimal metrics for predicting diabetes in adults, particularly within low- and middle-income countries. This study investigates objective and subjective indices for screening diabetes in these countries.

METHODS

Data for this study was sourced from surveys conducted among adults (aged 18 years and above) in seventeen (17) countries. Self-reported diabetes status, fifty-four biomarkers, and twenty-six core and twenty-eight estimated anthropometric indices, including weight, waist circumference, body mass index, glycaemic triglycerides, and fasting blood glucose, were utilised to construct lasso regression models.

RESULTS

The study revealed variances in diabetes prediction outcomes across different countries. Central adiposity measures, fasting plasma glucose and glycaemic triglycerides demonstrated superior predictive capabilities for diabetes when compared to body mass index. Furthermore, fasting plasma or blood glucose, serving as a biomarker, emerged as the most accurate predictor of diabetes.

CONCLUSIONS

These findings offer critical insights into both general and context-specific tools for diabetes screening. The study proposes that fasting plasma glucose and central adiposity indices should be considered as routine screening tools for diabetes, both in policy interventions and clinical practice. By identifying adults with or at higher risk of developing diabetes and implementing appropriate interventions, these screening tools possess the potential to mitigate diabetes-related complications in low- and middle-income countries.

Lessons from the development process of the Afghanistan integrated package of essential health services

In 2017, in the middle of the armed conflict with the Taliban, the Ministry of Public Health decided that the Afghan health system needed a well-defined priority package of health services taking into account the increasing burden of non-communicable diseases and injuries and benefiting from the latest evidence published by DCP3. This leads to a 2-year process involving data analysis, modelling and national consultations, which produce this Integrated Package of Essential health Services (IPEHS). The IPEHS was finalised just before the takeover by the Taliban and could not be implemented. The Afghanistan experience has highlighted the need to address not only the content of a more comprehensive benefit package, but also its implementation and financing. The IPEHS could be used as a basis to help professionals and the new authorities to define their priorities.

Nutritional and health status of Afghan refugee women living in Punjab: A cross-sectional study

Afghan refugees are the world's densely populated community, with 2.6 million registered Afghan refugees living globally, of whom about 2.2 million are in Iran and Pakistan. Pakistan is a densely populated country, and due to its low socioeconomic status, food insecurity, unhygienic conditions, and inadequate access to health care, the Afghan refugees have high chances of being malnourished; the chances of death for these Afghans are 25 times more every year from undernourishment and poverty than those from violence. This study aimed to assess anthropometric and biochemical analyses, their health complications, and the socioeconomic status of Afghan refugee women living in Islamabad Punjab as women are the most vulnerable and highly malnourished group in any community. This cross-sectional study involved 150 Afghan women aged 15-30 years; they were assessed for their nutritional status using Anthropometric, Biochemical, Clinical and Diet (ABCD). The results indicate the prevalence of underweight, normal weight, and overweight at 74.7%, 16.7%, and 8.7%, respectively. Majority of the women have extremely low hemoglobin (Hb) level, which indicates iron deficiency as well as low body mass index for their age. As the results indicate that there are high chances of severe malnutrition among this most vulnerable segment of the population, this situation must be addressed immediately; the main aim of this study is to highlight the current situation of these Afghan refugees in Pakistan. More research is needed to determine how normal body weight women with low hemoglobin levels are compared to women with ideal body mass index ratios.

Nutritional inequalities among under-five children: a geospatial analysis of hotspots and cold spots in 73 low- and middle-income countries

BACKGROUND

Child undernutrition is a severe health problem in the developing world, which affects children's development in the long term. This study analyses the extent and patterns of under-five child undernutrition using Demographic and Health Surveys (DHS) for 73 low- and middle-income countries (LMICs).

METHODS

First, we mapped the prevalence of undernutrition in the developing world. Second, using the LISA (a local indicator of spatial association) technique, we analyzed the geographical patterns in undernutrition to highlight the localized hotspots (regions with high undernutrition prevalence surrounded by similar other regions), cold spots (regions with low undernutrition prevalence surrounded by similar other regions), and outliers (regions with high undernutrition surrounded by low undernutrition and vice versa). Third, we used Moran's I to find global patterns in child undernutrition.

RESULTS

We find that South Asia has the highest under-five child undernutrition rates. The intra-country nutritional inequalities are highest in Burundi (stunting), Kenya (wasting), and Madagascar (underweight). The local indicator of spatial association (LISA) analysis suggests that South Asia, Middle East and North Africa (MENA) region, and Sub-Saharan Africa are undernutrition hotspots and Europe and Central Asia and Latin America, and the Caribbean are undernutrition cold spots (regions with low undernutrition surrounded by similar other regions). Getis Ord-Gi* estimates generally support LISA analysis. Moran's I and Geary's C gave similar results about the global patterns of undernutrition. Geographically weighted regressions suggest that several socioeconomic indicators significantly explain child undernutrition.

CONCLUSIONS

We found a significant within and across country variation in stunting, wasting and underweight rates among the under-five children's population. The geospatial analysis also suggested that stunting, wasting, and underweight patterns exhibit clear regional patterns, underscoring the need for coordinated interventions at the regional level.

Geographical and socioeconomic inequalities in the double burden of malnutrition among women in Southeast Asia: A population-based study

Background

Countries in the South and Southeast Asia region grapple with significant challenges due to the double burden of malnutrition (DBM) in women. An understanding of the country specific DBM geographical and socioeconomic distribution in South and Southeast Asian countries will enable targeting of DBM interventions towards high-risk populations in the region. This study aimed to analyse anthropometric indicators for women's nutrition at national and subnational levels in seven South and Southeast Asian countries and assess the association between nutritional status and socioeconomic factors.

Methods

We used population-representative cross-sectional data from the Demographic and Health Surveys conducted between 2000 and 2017, for seven South and Southeast Asian countries (Bangladesh, Cambodia, India, Myanmar, Nepal, Pakistan, and Timor-Leste) and estimated national and subnational prevalence of women underweight and overweight. Using a concentration index (CI), we measured relative and absolute inequality across underweight and overweight in urban and rural areas in these countries. In addition, we estimated the health achievement index, integrating mean coverage of nutritional status and the distribution of coverage by rural and urban populations.

Findings

The prevalence of underweight women ranged from 7.0% (95% CI: 7.0-8.0%) in Pakistan in 2017 to 44.0% (95% CI: 42-45%) in Bangladesh in 2000 and overweight from 11.0% (95% CI: 10-12%) in Bangladesh in 2000 to 67.0% (95% CI: 66-68%) in Pakistan in 2017. In most countries, underweight disproportionately affected the poorest. The concentration indices for underweight were significant in all countries and ranged from -0.04 in Cambodia in 2014 to -0.38 in Pakistan in 2017. In contrast, overweight disproportionately affected the richest, with concentration indices for overweight significant in all countries, ranging from 0.16 in Cambodia in 2010 to 0.45 in Bangladesh in 2007. In most of the countries an absolute measure of inequality decreased overtime, whereas relative measures increased. Disachievement of underweight is more pronounced in rural populations compared to the urban ones.

Interpretations

We noted large geographical and socioeconomic disparities in women DBM in South and Southeast Asian countries, at national and subnational levels. Planning, implementation, and evaluation of existing intervention programmes for food and nutrition should be based on subnational level needs and outcomes.

Funding

This research is partially funded by the Australian Government through the Australian Research Council's Centre of Excellence for Children and Families over the Life Course (Project ID CE200100025).

Review of Humanitarian Guidelines to Ensure the Health and Well-being of Afghan Refugees on U.S. Military Bases

INTRODUCTION

The U.S. military has a 50-year history of managing resettlement or refugee camps on bases. In July and August 2021, more than 124,000 persons were evacuated from Afghanistan, with 55,000 Afghans temporarily housed at U.S. military bases around the world during Operation Allies Welcome (OAW) at its peak.

METHODS

PubMed was searched for papers published in English between January 1, 1980, and February 1, 2021, using "Afghanistan" and "health" (including "public health," "maternal health," and "child health"), "maternal, newborn, and child health," and "health situation" as search terms and specific topics of interest. Where scholarly work was unavailable, reports of the United States Agency for International Development, implementing partners, gray literature, donor reports, Afghanistan Ministry of Health documents, national health plans, policies, and strategies, DoD after-action reviews (AARs), and guidance from previous refugee airlifts were also included in the search.

RESULTS

Although AARs may provide some helpful guidance for these refugee settings, a review of open-source AARs and had little to no health guidance, focused primarily on administrative issues, and do not follow humanitarian guidelines. DoD guidance for refugee settings is dated and requires updating to be useful. There is a well-developed body of literature of international standards, guidelines, and best practices for refugee settings. Using the standardized Needs Assessment for Refugee Emergencies checklist as a guide, this review provides a standardized refugee health assessment framework for ensuring the health and well-being of Afghan refugees on U.S. military bases is based on humanitarian response guidelines and best practices to ensure their care meets international standards. All groups, especially minority ethnic groups (e.g., Hazaras), sexual and gender minorities, elderly, disabled, or mentally ill persons, need equal access to protection to ensure they are not targeted. Water, sanitation, and hygiene must be gender-sensitive and inclusive which includes well-lit separate facilities for males and females to decrease vulnerability to violence. The displaced population must be involved in the management of the camp through community participation and representation. All providers in OAW should be briefed on the food security and nutrition context of those in their care. Medical providers are most effective if they have significant experience with the refugee population health context. Understanding refugee medicine, the ability to work with illiterate and uneducated populations and translators are important skills. Abiding by international standards of care and being up-to-date with current guidelines for refugee care is important. Reproductive health must be a core component of the overall health response to decrease mortality, morbidity, and disability among reproductive-age women in crisis situations. Immediate and exclusive breastfeeding and international standards for breastfeeding must be adhered to, especially among nutritionally at-risk Afghans who are part of OAW. Education implementors familiar with education in refugee settings are an important contributor to establish formal, informal, non-formal, accelerated, and essence-based education programs.

CONCLUSIONS

Partners and providers involved in any refugee setting should become familiar with updated guidelines, standards, and best practices and apply them to any operation to ensure a rights-based approach to protection, care, and the health and well-being of refugees.

Quality of automatic geocoding tools: a study using addresses from hospital record files in Temuco, Chile

Abstract: Automatic geocoding methods have become popular in recent years, facilitating the study of the association between health outcomes and the place of living. However, rather few studies have evaluated geocoding quality, with most of them being performed in the US and Europe. This article aims to compare the quality of three automatic online geocoding tools against a reference method. A subsample of 300 handwritten addresses from hospital records was geocoded using Bing, Google Earth, and Google Maps. Match rates were higher (> 80%) for Google Maps and Google Earth compared with Bing. However, the accuracy of the addresses was better for Bing with a larger proportion (> 70%) of addresses with positional errors below 20m. Generally, performance did not vary for each method for different socioeconomic status. Overall, the methods showed an acceptable, but heterogeneous performance, which may be a warning against the use of automatic methods without assessing quality in other municipalities, particularly in Chile and Latin America.

Spatial Statistical Models: An Overview under the Bayesian Approach

Spatial documentation is exponentially increasing given the availability of Big Data in the Internet of Things, enabled by device miniaturization and data storage capacity. Bayesian spatial statistics is a useful statistical tool to determine the dependence structure and hidden patterns in space through prior knowledge and data likelihood. However, this class of modeling is not yet well explored when compared to adopting classification and regression in machine-learning models, in which the assumption of the spatiotemporal independence of the data is often made, that is an inexistent or very weak dependence. Thus, this systematic review aims to address the main models presented in the literature over the past 20 years, identifying the gaps and research opportunities. Elements such as random fields, spatial domains, prior specification, the covariance function, and numerical approximations are discussed. This work explores the two subclasses of spatial smoothing: global and local.

Determinants of nutritional status during the first 1000 days of life in Lebanon: Sex of the child matters

BACKGROUND

The first 1000 days of life support child growth and long-term health, but few studies address this period in Lebanon and the Eastern Mediterranean Region.

OBJECTIVE

To examine the determinants of nutritional status among Lebanese children ≤2 years old by child's sex.

METHODS

We analysed data from a nationally representative cross-sectional survey of 466 mother-child dyads. We classified socio-economic, maternal, and child characteristics using a hierarchical conceptual framework into distal, intermediate, and proximal levels, respectively. Sex-stratified weighted multiple linear regression was computed to identify the determinants of length-for-age z-scores (LAZ) and weight-for-length z-scores (WLZ).

RESULTS

The mean (standard deviation) of LAZ and WLZ was -0.3 (1.6) and 0.5 (1.5) among boys and -0.1 (1.4) and 0.5 (1.0) among girls, respectively. At the distal level, maternal intermediate or high school education was associated with higher boys' LAZ (β 1.0, 95% confidence interval (CI) 0.2, 1.8), and less crowded households were associated with higher girls' LAZ (β 0.8, 95% CI 0.3, 1.4). At the intermediate level, maternal obesity was associated with lower girls' LAZ (β -0.9, 95% CI -1.4, -0.4). At the proximal level, birth length directly (β 0.1, 95% CI 0.0, 0.2) and breast-feeding duration inversely (β -0.1, 95% CI -0.1, -0.0) associated with girls' LAZ. For WLZ, paternal attainment of university degree or technical diploma was associated with lower boys' WLZ (β -0.9, 95% CI -1.8, -0.1). Among the proximal determinants, birthweight was directly associated with boys' WLZ (β 1.2, 95% CI 0.6, 1.8), while being a third or later child was associated with lower girls' WLZ (β -0.5, 95% CI -0.8, -0.2). Child age was directly associated with WLZ among boys and girls (β 0.1, 95% CI 0.0, 0.1).

CONCLUSIONS

Nutritional status determinants differed by child's sex in Lebanon. These findings may help inform interventions to improve child growth.

Double burden of underweight and overweight among Indian adults: spatial patterns and social determinants

OBJECTIVE

The current study explores the spatial patterns of underweight and overweight among adult men and women in districts of India and identifies the micro-geographical locations where the risks of underweight and overweight are simultaneously prevalent, after accounting for demographic and socio-economic factors.

DESIGN

We relied on BMI (weight (kg)/height squared (m2)), a measure of nutritional status among adult individuals, from the 2015-2016 National Family and Health Survey. Underweight was defined as <18·5 kg/m2 and overweight as ≥25·0 kg/m2.

SETTING

We adopted Bayesian structured additive quantile regression to model the underlying spatial structure in underweight and overweight burden.

PARTICIPANTS

Men aged 15-54 years (sample size: 108 092) and women aged 15-49 years (sample size: 642 002).

RESULTS

About 19·7 % of men and 22·9 % of women were underweight, and 19·6 % of men and 20·6 % of women were overweight. Results indicate that malnutrition burden in adults exhibits geographical divides across the country. Districts located in the central, western and eastern regions show higher risks of underweight. There is evidence of substantial spatial clustering of districts with higher risk of overweight in southern and northern India. While finding a little evidence on double burden of malnutrition among population groups, we identified a total of sixty-six double burden districts.

CONCLUSIONS

The current study demonstrates that the geographical burden of overweight in Indian adults is yet to surpass that of underweight, but the coexistence of double burden of underweight and overweight in selected regions presents a new challenge for improving nutritional status and necessitates specialised policy initiatives.

Underweight and overweight/obesity among adults in Afghanistan: prevalence and correlates from a national survey in 2018

BACKGROUND

The study aimed to estimate the prevalence and correlates of underweight and overweight/obesity among adults in Afghanistan.

METHODS

National cross-sectional survey data of 3779 persons aged 18-69 years were analysed. Multinomial logistic regression was used to estimate factors associated with underweight and overweight/obesity relative to normal weight.

RESULTS

In all, 7.8% of the study sample was underweight (BMI < 18.5 kg/m²), 49.5% had normal weight (BMI 18.5-24.9 kg/m²), 25.5% overweight (25.0-29.9 kg/m²), and 17.2% obesity. In adjusted multinomial logistic regression, factors negatively associated with underweight were male sex (adjusted relative risk ratio (ARRR): 0.30, 95% confidence interval (CI): 0.15-0.58) and hypertension (ARRR: 0.51, 95% CI: 0.27-0.95) and factors positively associated with underweight were sedentary behaviour (ARRR: 1.85, 95% CI: 1.11-3.10) and current tobacco use (ARRR: 2.58, 95% CI: 1.08-6.16). Factors positively associated with overweight/obesity were aged 30-44 years (ARRR: 2.00, CI: 1.51-2.66) and aged 45-69 years (ARRR: 1.58, CI: 1.09-2.31) (compared to 18-29 years) (ARRR: 1.28, CI: 1.14-2.18), hypertension (ARRR: 2.74, CI: 1.89-3.96), and type 2 diabetes (ARRR: 1.82, CI: 1.13-2.94), and high physical activity (ARRR: 0.70, CI: 0.50-0.98) was negatively associated with overweight/obesity.

CONCLUSION

Almost one in ten adult respondents were underweight and more than two in five were overweight/obese, confirming a dual burden of malnutrition in Afghanistan.

Vitamin D for Growth and Rickets in Stunted Children: A Randomized Trial

BACKGROUND AND OBJECTIVES

Vitamin D is essential for healthy development of bones, but little is known about the effects of supplementation in young stunted children. Our objective was to assess the effect of vitamin D supplementation on risk of rickets and linear growth among Afghan children.

METHODS

In this double-blind, placebo-controlled trial, 3046 children ages 1 to 11 months from inner-city Kabul were randomly assigned to receive oral vitamin D₃ (100 000 IU) or placebo every 3 months for 18 months. Rickets Severity Score was calculated by using wrist and knee radiographs for 631 randomly selected infants at 18 months, and rickets was defined as a score >1.5. Weight and length were measured at baseline and 18 months by using standard techniques, and z scores were calculated.

RESULTS

Mean (95% confidence interval [CI]) serum 25-hydroxyvitamin D (seasonally corrected) and dietary calcium intake were insufficient at 37 (35-39) nmol/L and 372 (327-418) mg/day, respectively. Prevalence of rickets was 5.5% (placebo) and 5.3% (vitamin D): odds ratio 0.96 (95% CI: 0.48 to 1.92); P = .9. The mean difference in height-for-age z score was 0.05 (95% CI: -0.05 to 0.15), P = .3, although the effect of vitamin D was greater for those consuming >300 mg/day of dietary calcium (0.14 [95% CI: 0 to 0.29]; P = .05). There were no between-group differences in weight-for-age or weight-for-height z scores.

CONCLUSIONS

Except in those with higher calcium intake, vitamin D supplementation had no effect on rickets or growth.

Factors associated with undernutrition among 20 to 49 year old women in Uganda: a secondary analysis of the Uganda demographic health survey 2016

BACKGROUND

Women are at risk of undernutrition due to biological, socio-economic, and cultural factors. Undernourished women have higher risk of poor obstetric outcomes. We aimed to determine the prevalence and factors associated with undernutrition among women of reproductive age in Uganda.

METHODS

We used Uganda Demographic and Health Survey (UDHS) 2016 data of 4640 women aged 20 to 49 years excluding pregnant and post-menopausal women. Multistage stratified sampling was used to select study participants and data were collected using validated questionnaires. We used multivariable logistic regression to determine factors associated with underweight and stunting among 20 to 49 year old women in Uganda.

RESULTS

The prevalence of underweight and stunting were 6.9% (318/4640) and 1.3% (58/4640) respectively. Women who belonged to the poorest wealth quintile (Adjusted Odds Ratio (AOR) 3.60, 95% CI 1.85-7.00) were more likely to be underweight compared to those who belonged to the richest wealth quintile. Women residing in rural areas were less likely to be underweight (AOR 0.63, 95%CI 0.41-0.96) compared to women in urban areas. Women in Western (AOR 0.30, 95% CI 0.20-0.44), Eastern (AOR 0.42, 95% CI 0.28-0.63) and Central regions (AOR 0.42, 95% CI 0.25-0.72) were less likely to be underweight compared to those in the Northern region. Women belonging to Central (AOR 4.37, 95% CI 1.44-13.20) and Western (AOR 4.77, 95% CI 1.28-17.78) regions were more likely to be stunted compared to those in the Northern region.

CONCLUSION

The present study showed wealth index, place of residence and region to be associated with undernutrition among 20 to 49 year old women in Uganda. There is need to address socio-economic determinants of maternal undernutrition mainly poverty and regional inequalities.

Geospatial estimation of reproductive, maternal, newborn and child health indicators: a systematic review of methodological aspects of studies based on household surveys

BACKGROUND

Geospatial approaches are increasingly used to produce fine spatial scale estimates of reproductive, maternal, newborn and child health (RMNCH) indicators in low- and middle-income countries (LMICs). This study aims to describe important methodological aspects and specificities of geospatial approaches applied to RMNCH coverage and impact outcomes and enable non-specialist readers to critically evaluate and interpret these studies.

METHODS

Two independent searches were carried out using Medline, Web of Science, Scopus, SCIELO and LILACS electronic databases. Studies based on survey data using geospatial approaches on RMNCH in LMICs were considered eligible. Studies whose outcomes were not measures of occurrence were excluded.

RESULTS

We identified 82 studies focused on over 30 different RMNCH outcomes. Bayesian hierarchical models were the predominant modeling approach found in 62 studies. 5 × 5 km estimates were the most common resolution and the main source of information was Demographic and Health Surveys. Model validation was under reported, with the out-of-sample method being reported in only 56% of the studies and 13% of the studies did not present a single validation metric. Uncertainty assessment and reporting lacked standardization, and more than a quarter of the studies failed to report any uncertainty measure.

CONCLUSIONS

The field of geospatial estimation focused on RMNCH outcomes is clearly expanding. However, despite the adoption of a standardized conceptual modeling framework for generating finer spatial scale estimates, methodological aspects such as model validation and uncertainty demand further attention as they are both essential in assisting the reader to evaluate the estimates that are being presented.

Proximal and contextual correlates of childhood stunting in India: A geo-spatial analysis

BACKGROUND

Globally, India is home to every third child affected by stunting. While numerous studies have examined the correlates of childhood stunting (CS) in India, most of these studies have focused on examining the role of proximal factors, and the role of contextual factors is much less studied. This study presents a comprehensive picture of both proximal and contextual determinants of CS in India, expanding the current evidence base. The present study is guided by the WHO conceptual framework, which outlines the context, causes, and consequences of CS.

DATA AND METHODS

The study used exploratory spatial data analysis tools to analyse the spatial pattern and correlates of CS, using data from the fourth round (2015-16) of the National Family Health Survey (NFHS-4) and the 2011 Census of India.

RESULTS

The study findings reiterate that CS continues to be high in India, with several hot spot states and districts, and that children from the central and eastern region of the nation, namely, Bihar, Jharkhand, Madhya Pradesh, and Uttar Pradesh are particularly vulnerable. Our analysis has identified six risk factors-maternal short stature, large household size, closely spaced births, prevalence of hypertension among women, household poverty, open defecation, and extreme temperature-and four protective factors-female education, access to improved drinking water, dietary diversity among children, and iron and folic acid (IFA) supplementation during pregnancy.

CONCLUSIONS

The study highlights the need for investing in pre-conception care, addressing both demand- and supply-side barriers to increase the coverage of nutrition-specific interventions, implementing programmes to promote the intake of healthy foods from an early age, providing contraceptive counselling and services to unmarried and married adolescents and young women and men, and universalizing quality primary and secondary education that is inclusive and equitable to avert the burden of childhood stunting in India.

Geographical disparities and determinants of childhood diarrheal illness in Ethiopia: further analysis of 2016 Ethiopian Demographic and Health Survey

Background

Childhood diarrheal illness is the second leading cause of child mortality in sub-Saharan Africa, including Ethiopia. Epidemiology of diarrhea has long-term implications with respect to medical, social, and economic consequences. Studies hypothesize that there have been regional differences, and this study aimed to examine the spatial variations and identify the determinants of childhood diarrhea in Ethiopia.

Methods

Data from the 2016 Demographic and Health Survey of Ethiopia (EDHS), which included 10,337 aged under 5 years were analyzed. The survey was conducted using a two-stage stratified sampling design. The study attempted to detect and test the clustering of diarrhea cases using global Moran’s I and LISA. Descriptive statistics followed by mixed-effect logistic regressions were used to identify factors related to the prevalence of diarrhea.

Results

Overall, 11.87% of the children experienced childhood diarrheal illness. The study showed that the risk was high in the southern and central parts and low in the eastern and western regions of the country. Children aged 6–12 (AOR = 2.66, [95% CI 2.01, 3.52]), 12–23 (AOR = 2.45, [95% CI 1.89, 3.17]), and 24–35 (AOR = 1.53, [95% CI 1.17, 2.01]) months were more likely to suffer from childhood diarrhea than those aged less than 6 months. Children in Tigray (AOR = 1.69 [95% CI 1.01, 2.83]), Amhara (AOR = 1.80, [95% CI 1.06, 3.06]), SNNPR (AOR = 2.04, [95% CI 1.22, 3.42]), and Gambella (AOR = 2.05, [95% CI 1.22, 3.42]) were at higher risk than those in Addis Ababa. The odds of getting diarrhea decreased by 24% among households with ≥ 3 under-five children compared to those with only one under-five child (AOR = 0.76 [95% CI 0.61, 0.94]). The odds of getting diarrheal illness for the children of employed mothers increased by 19% compared to those children of non-employed mothers (AOR = 1.19 [95% CI 1.03, 1.38]).

Conclusions

Childhood diarrheal disease is prevalent among under-five children, particularly in the regions of SNNP, Gambella, Oromia, and Benishangul Gumuz, while the regions are generally making progress in reducing childhood illness. Capacity building programs with the best experience sharing and better home environments can be effective in reducing the incidence of childhood diarrhea in Ethiopia.

Multisector nutrition gains amidst evidence scarcity: scoping review of policies, data and interventions to reduce child stunting in Afghanistan

Background

Child health indicators have substantially improved across the last decade, yet Afghanistan has among the highest child stunting and malnutrition rates in Asia. Multisectoral approaches were recently introduced but evidence for this approach to improve support for and implementation of child nutrition programmes is limited compared to other countries.

Methods

We reviewed policy and programme data to identify best practices and gaps surrounding child malnutrition in Afghanistan. We conducted a scoping review using broad search categories and approaches, including database and website searches, reference hand-searches, purposive policy and programme document request, and key informant interviews. Inclusion and exclusion criteria were developed iteratively, with abstracts and documents assessed against the final criteria. We abstracted documents systematically and summarised and synthesised content to generate the main findings.

Results

We included 18 policies and strategies, 45 data sources and reports, and 20 intervention evaluations. Movement towards multisectoral efforts to address malnutrition at the policy level has started; however, integrated nutrition-specific and nutrition-sensitive interventions are not yet uniformly delivered at the community level. Many data sources capturing nutrition, food security and WASH (water, sanitation and hygiene) indicators are available but indicator definitions are not standardised and there are few longitudinal nutrition surveys. Political will to improve household nutrition status has shown increased government and donor investments in nutrition-sensitive and nutrition-specific programmes through combined small- and large-scale interventions between 2004 and 2013; however, evidence for interventions that effectively decrease stunting prevalence is limited.

Conclusions

This review shows a breadth of nutrition programme, policy and data in Afghanistan. Multisector approaches faced challenges of reaching sufficient coverage as they often included a package of food security, livelihoods and health interventions but were each implemented independently. Further implementation evidence is needed to aid policy and programmes on effective integration of nutrition, food security and WASH in Afghanistan.

Review of policies, data, and interventions to improve maternal nutrition in Afghanistan

Malnutrition contributes to direct and indirect causes of maternal mortality, which is particularly high in Afghanistan. Women's nutritional status before, during, and after pregnancy affects their own well‐being and mortality risk and their children's health outcomes. Though maternal nutrition interventions have documented positive impact on select child health outcomes, there are limited data regarding the effects of maternal nutrition interventions on maternal health outcomes globally. This scoping review maps policies, data, and interventions aiming to address poor maternal nutrition outcomes in Afghanistan. We used broad search categories and approaches including database and website searches, hand searches of reference lists from relevant articles, policy and programme document requests, and key informant interviews. Inclusion and exclusion criteria were developed by type of source document, such as studies with measures related to maternal nutrition, relevant policies and strategies, and programmatic research or evaluation by a third party with explicit interventions targeting maternal nutrition. We abstracted documents systematically, summarized content, and synthesized data. We included 20 policies and strategies, 29 data reports, and nine intervention evaluations. The availability of maternal nutrition intervention data and the inclusion of nutrition indicators, such as minimum dietary diversity, have increased substantially since 2013, yet few nutrition evaluations and population surveys include maternal outcomes as primary or even secondary outcomes. There is little evidence on the effectiveness of interventions that target maternal nutrition in Afghanistan. Policies and strategies more recently have shifted towards multisectoral efforts and specifically target nutrition needs of adolescent girls and women of reproductive age. This scoping review presents evidence from more than 10 years of efforts to improve the maternal nutrition status of Afghan women. We recommend a combination of investments in measuring maternal nutrition indicators and improving maternal nutrition knowledge and behaviours.

Impact of Feed the Future initiative on nutrition in children aged less than 5 years in sub-Saharan Africa: difference-in-differences analysis

OBJECTIVE

To evaluate the impact of the US government's Feed the Future initiative on nutrition outcomes in children younger than 5 years in sub-Saharan Africa.

DESIGN

Difference-in-differences quasi-experimental approach.

SETTING

Households in 33 low and lower middle income countries in sub-Saharan Africa.

POPULATION

883 309 children aged less than 5 years with weight, height, and age recorded in 118 surveys conducted in 33 countries between 2000 and 2017: 388 052 children were from Feed the Future countries and 495 257 were from non-Feed the Future countries.

MAIN OUTCOME MEASURES

A difference-in-differences approach was used to compare outcomes among children in intervention countries after implementation of the initiative with children before its introduction and children in non-intervention countries, controlling for relevant covariates, time invariant national differences, and time trends. The primary outcome was stunting (height for age >2 standard deviations below a reference median), a key indicator of undernutrition in children. Secondary outcomes were wasting (low weight for height) and underweight (low weight for age).

RESULTS

Across all years and countries, 38.3% of children in the study sample were stunted, 8.9% showed wasting, and 21.3% were underweight. In the first six years of Feed the Future's implementation, children in 12 countries with the initiative exhibited a 3.9 percentage point (95% confidence interval 2.4 to 5.5) greater decline in stunting, a 1.1 percentage point (0.1 to 2.1) greater decline in wasting, and a 2.8 percentage point (1.6 to 4.0) greater decline in underweight levels compared with children in 21 countries without the initiative and compared with trends in undernutrition before Feed the Future was launched. These decreases translate to around two million fewer stunted and underweight children aged less than 5 years and around a half million fewer children with wasting. For context, about 22 million children were stunted, 11 million children were underweight, and four million children were wasted in the Feed the Future countries at baseline.

CONCLUSIONS

Feed the Future's activities were closely linked to notable improvements in stunting and underweight levels and moderate improvements in wasting in children younger than 5 years. These findings highlight the effectiveness of this large, country tailored initiative focused on agriculture and food security and have important implications for the future of this and other nutrition interventions worldwide.

The burden of child and maternal malnutrition and trends in its indicators in the states of India: the Global Burden of Disease Study 1990-2017

BACKGROUND

Malnutrition is a major contributor to disease burden in India. To inform subnational action, we aimed to assess the disease burden due to malnutrition and the trends in its indicators in every state of India in relation to Indian and global nutrition targets.

METHODS

We analysed the disease burden attributable to child and maternal malnutrition, and the trends in the malnutrition indicators from 1990 to 2017 in every state of India using all accessible data from multiple sources, as part of Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017. The states were categorised into three groups using their Socio-demographic Index (SDI) calculated by GBD on the basis of per capita income, mean education, and fertility rate in women younger than 25 years. We projected the prevalence of malnutrition indicators for the states of India up to 2030 on the basis of the 1990-2017 trends for comparison with India National Nutrition Mission (NNM) 2022 and WHO and UNICEF 2030 targets.

FINDINGS

Malnutrition was the predominant risk factor for death in children younger than 5 years of age in every state of India in 2017, accounting for 68·2% (95% UI 65·8-70·7) of the total under-5 deaths, and the leading risk factor for health loss for all ages, responsible for 17·3% (16·3-18·2) of the total disability-adjusted life years (DALYs). The malnutrition DALY rate was much higher in the low SDI than in the middle SDI and high SDI state groups. This rate varied 6·8 times between the states in 2017, and was highest in the states of Uttar Pradesh, Bihar, Assam, and Rajasthan. The prevalence of low birthweight in India in 2017 was 21·4% (20·8-21·9), child stunting 39·3% (38·7-40·1), child wasting 15·7% (15·6-15·9), child underweight 32·7% (32·3-33·1), anaemia in children 59·7% (56·2-63·8), anaemia in women 15-49 years of age 54·4% (53·7-55·2), exclusive breastfeeding 53·3% (51·5-54·9), and child overweight 11·5% (8·5-14·9). If the trends estimated up to 2017 for the indicators in the NNM 2022 continue in India, there would be 8·9% excess prevalence for low birthweight, 9·6% for stunting, 4·8% for underweight, 11·7% for anaemia in children, and 13·8% for anaemia in women relative to the 2022 targets. For the additional indicators in the WHO and UNICEF 2030 targets, the trends up to 2017 would lead to 10·4% excess prevalence for wasting, 14·5% excess prevalence for overweight, and 10·7% less exclusive breastfeeding in 2030. The prevalence of malnutrition indicators, their rates of improvement, and the gaps between projected prevalence and targets vary substantially between the states.

INTERPRETATION

Malnutrition continues to be the leading risk factor for disease burden in India. It is encouraging that India has set ambitious targets to reduce malnutrition through NNM. The trends up to 2017 indicate that substantially higher rates of improvement will be needed for all malnutrition indicators in most states to achieve the Indian 2022 and the global 2030 targets. The state-specific findings in this report indicate the effort needed in each state, which will be useful in tracking and motivating further progress. Similar subnational analyses might be useful for other low-income and middle-income countries.

FUNDING

Bill & Melinda Gates Foundation; Indian Council of Medical Research, Department of Health Research, Ministry of Health and Family Welfare, Government of India.

Association of Exposure to Civil Conflict With Maternal Resilience and Maternal and Child Health and Health System Performance in Afghanistan

IMPORTANCE

Current studies examining the effects of Afghanistan's conflict transition on the performance of health systems, health service delivery, and health outcomes are outdated and small in scale and do not span all essential reproductive, maternal, newborn, and child health interventions.

OBJECTIVE

To evaluate associations of conflict severity with improvement of health system performance, use of health services, and child nutrition outcomes in Afghanistan during the 2003 to 2018 reconstruction period.

DESIGN, SETTING, AND PARTICIPANTS

This population-based survey study included a sequential cross-sectional analysis of individual-level panel data across 2 periods (2003-2010 and 2010-2018) and a difference-in-differences design. Surveys included the 2003 to 2004 and 2010 to 2011 Multiple Indicator Cluster Surveys and the 2018 Afghanistan Health Survey. Afghanistan's 2013 National Nutrition Survey was used to assess nutritional outcomes, and the annual Balanced Scorecard data sets were used to evaluate health system performance. Participants included girls and women aged 12 to 49 years and children younger than 5 years who completed nationally representative household surveys. All analyses were conducted from January 1 through April 30, 2019.

EXPOSURES

Provinces were categorized as experiencing minimal-, moderate-, and severe-intensity conflict using battle-related death data from the Uppsala Conflict Data Program.

MAIN OUTCOMES AND MEASURES

Health intervention coverage was examined using 10 standard indicators: contraceptive method (any or modern); antenatal care by a skilled health care professional; facility delivery; skilled birth attendance (SBA); bacille Calmette-Guérin vaccination (BCG); diphtheria, pertussis, and tetanus vaccination (DPT3) or DPT3 plus hepatitis B and poliomyelitis (penta); measles vaccination; care-seeking for acute respiratory infection; oral rehydration therapy for diarrhea; and the Composite Coverage Index. The health system performance was analyzed using the following standard Balanced Scorecard composite domains: client and community, human resources, physical capacity, quality of service provision, management systems, and overall mission. Child stunting, wasting, underweight, and co-occurrence of stunting and wasting were estimated using World Health Organization growth reference cutoffs.

RESULTS

Responses from 64 815 women (mean [SD] age, 31.0 [8.5] years) were analyzed. Provinces with minimal-intensity conflict had greater gains in contraceptive use (mean annual percentage point change [MAPC], 1.3% vs 0.5%; P < .001), SBA (MAPC, 2.7% vs 1.5%; P = .005), BCG vaccination (MAPC, 3.3% vs -0.5%; P = .002), measles vaccination (MAPC, 1.9% vs -1.0%; P = .01), and DPT3/penta vaccination (MAPC, 1.0% vs -2.0%; P < .001) compared with provinces with moderate- to severe-intensity conflict after controlling for confounders. Provinces with severe-intensity conflict fared significantly worse than those with minimal-intensity conflict in functioning infrastructure (MAPC, -1.6% [95% CI, -2.4% to -0.8%]) and the client background and physical assessment index (MAPC, -1.0% [95% CI, -0.8% to 2.7%]) after adjusting for confounders. Child wasting was significantly worse in districts with greater conflict severity (full adjusted β for association between logarithm of battle-related deaths and wasting, 0.33 [95% CI, 0.01-0.66]; P = .04).

CONCLUSIONS AND RELEVANCE

Associations between conflict and maternal and child health in Afghanistan differed by health care intervention and delivery domain, with several key indicators lagging behind in areas with higher-intensity conflict. These findings may be helpful for planning and prioritizing efforts to reach the United Nations' Sustainable Development Goals in Afghanistan.

Poliovirus immunity among children under five years-old in accessible areas of Afghanistan, 2013

BACKGROUND

Afghanistan remains among the three countries with endemic wild poliovirus transmission, and high population immunity levels are required to interrupt transmission and prevent outbreaks. Surveillance and vaccination of children in Afghanistan have been challenging due to security issues limiting accessibility in certain areas.

METHODS

A serosurvey was conducted in 2013 within accessible enumeration areas (EAs) among children aged <5 years using samples collected for a national micronutrient assessment survey to assess poliovirus immunity in Afghanistan. Of 21194 total EAs in Afghanistan, 107 were inaccessible and therefore were excluded from the sampling frame.

RESULTS

Population immunity was high overall but varied for the poliovirus serotypes, and was lowest for type 3 (95% [95% CI: 93%, 96%]) compared to type 1 (99% [95% CI:97%, 99%]) and type 2 (98% [95% CI:96%, 99%]). The proportion of the population immune to all three types was 93% (95% CI: 91%, 95%), and the proportion seronegative for all three types was 0.5% (95% CI: 0.2%, 1.7%).

CONCLUSION

Except for regional differences in immunity to type 3 virus, there were no other apparent differences in seroprevalence by region or by any of the demographic or nutritional characteristics assessed in this study. The study was not powered to provide provincial level seroprevalence estimates, but Paktika Province, in the South region, had the largest proportion of seronegative specimens for type 1 (4 seronegative of 17 serum specimens compared to 14 seronegative of 673 for the remainder of the areas). Among accessible children in Afghanistan, seroprevalence of antibodies to poliovirus was high, with most seroprevalence reported at 95% or greater. Despite high seroprevalence in areas assessed in this study, the continued detection of poliovirus cases in the South and East regions indicate that overall regional vaccination coverage and performance is not sufficient to stop polio transmission.

Research on the horizontal equity of inpatient benefits among NCMS enrollees in China: evidence from Shaanxi Province

Background

Equity is an important goal for countries in formulating relevant health policies, and research on the equity of health services is more important for China, where the gap between the rich and poor is widening. The aims of this study are to explore to what extent the benefit equity of New Rural Cooperative Medical System enrollees has been achieved and to determine the geographical disparities in Shaanxi province and thus provide suggestions for future policy formulations.

Methods

Data were obtained from the fifth Health Service Survey of Shaanxi province in 2013. A two-step mode was used to analyse the influencing factors of the inpatient benefit rate and inpatient compensation fee. Concentration indexes and concentration curves were applied to measure the inequity of the inpatient benefit rate and inpatient compensation fee. The decomposition method was employed to explore the source of inequity and horizontal inequity.

Results

Based on a sample of 38,032 enrollees, our results showed that there were pro-rich inequities in the inpatient benefit rate and compensation fee. The concentration index of the inpatient benefit rate and compensation fee in 2013 were 0.064 and 0.174, respectively. The economic level (224.62%), self-evaluated health status (− 25.89%) and occupation status (− 12.32%) were the primary three contributors to the inequity of the inpatient benefit rate, and the economic level (106.16%) and age (− 2.88%) were the first two contributors to the inequity of the compensation fee. There were regional differences in the sources of inequities. Moreover, pro-rich horizontal inequity remained after standardizing health care needs.

Conclusions

Our results indicated that there were pro-rich inequities in the inpatient benefit rate and compensation fee in the New Rural Cooperative Medical System. The economic levels of enrollees accounted for most of the existing inequity, followed by self-evaluated health scores and age. Efforts should be made to strengthen policies and programmes in the New Rural Cooperative Medical System to achieve basic health services equity, such as implementing hierarchical medical treatments and reducing extra inpatient benefits for the rich.

Household Food Insecurity and Mental Health Among Teenage Girls Living in Urban Slums in Varanasi, India: A Cross-Sectional Study

This study was undertaken to investigate the relation between household food insecurity and mental health problems in teenage girls living in urban slums. This community-based cross-sectional study was conducted in 5 urban slums in Varanasi, India, between September 2016 and July 2017. A probability proportion to size (PPS) method was employed to select 5 of 210 urban slums at a first stage, and in the second stage, 418 teenage girls were chosen randomly from selected households. The Household Food Insecurity Access Scale (HFIAS) and mental health inventory tools were employed to assess food insecurity and mental health status. Multivariable logistic regression analysis with at a 95% confidence interval (CI) was used to assess the association between household food insecurity and mental health status. Of 418 respondents, 47.6% were food insecure; 64.1%, 57.7%, and 58.4% had high levels of anxiety, depression, or psychological distress, respectively; and 57.2% exhibited a medium level of loss of behavioral control. Furthermore, teenage girls from food insecure households were more likely to have high levels of anxiety, depression, loss of behavioral control and psychological distress than those living in food secure households. This study shows food insecurity is independently associated with mental health problems among teenage girls. Food insecurity in Indian slums should be addressed by specific public health intervention programs that provide access to sufficient safe, nutritious food.