Contribution of Food from Market Purchases and Home Production to Child Nutrient Intake: Evidence from the EFFECTS Study Baseline Data.

BACKGROUND: Child undernutrition is prevalent in Tanzania, and households rely primarily on local markets and home production as food sources. However, little is known about the contribution of food market purchases to nutrient intakes among children consuming complementary foods. OBJECTIVES: To quantify the relationships between diversity of foods purchased and produced by households and adequate child nutrient intake in Mara, Tanzania. METHODS: Cross-sectional baseline dietary and household food source data from the Engaging Fathers for Effective Child Nutrition and Development in Tanzania study were collected from mothers of 586 children aged 9-23 mo clustered in 80 villages in Mara, Tanzania. We conducted mixed effects linear regressions to quantify the association between the diversity of foods consumed at home, from market purchases and home production, and nutrient intake adequacy (based on 24-h food recalls). RESULTS: Children had inadequate diets, with fewer than half of children consuming adequate amounts of vitamin A, vitamin B1 (thiamine), vitamin B2 (riboflavin), vitamin B9 (folate), calcium, iron, and zinc. Breastfeeding was associated with higher overall mean adequacy (b = 0.15-0.19 across models, P < 0.001). Diversity of foods purchased was positively associated with the intake of vitamin B12 and calcium (both P < 0.001); this effect was attenuated among breastfed children. Among nonbreastfed children, production diversity was positively associated with vitamin A intake (b=0.04; P < .05) but not with intake of other nutrients. CONCLUSIONS: Both household food purchase and food production diversities were positively associated with children's nutrient intake in rural Mara, Tanzania. Nutrition programming should consider the role of food markets in addition to home food production to improve child diets. This trial was registered at clinicaltrials.gov as NCT03759821, https://clinicaltrials.gov/study/NCT03759821.

Effective nutrition governance is correlated with better nutrition outcomes in Nepal.

BACKGROUND: The public health burden of undernutrition remains heavy and widespread, especially in low-income countries like Nepal. While predictors of undernutrition are well documented, few studies have examined the effects of political will and quality of policy or program implementation on child growth. METHODS: Data were collected from two nationwide studies in Nepal to determine the relationship between a metric of nutrition 'governance' (the Nutrition Governance Index), derived from interviews with 520 government and non-government officials responsible for policy implementation and anthropometry measured for 6815 children in 5556 households. We employed Generalized Estimating Equation (GEE) and multilevel regression models. RESULTS: A higher NGI (more effective nutrition governance) is positively associated with height-for-age as well as weight-for-height in children over 2 years of age compared to younger children (HAZ; ß = 0.02, p < 0.004, WHZ; ß = 0.01, p < 0.37). Results from the hierarchical model show that a one-point increase in the NGI is significantly associated with a 12% increase in HAZ and a 4% increase in WHZ in older children (> 24 months old). Mothers' education, child's age, BMI and no fever in the past 30 days were also protective of stunting and wasting. Seven percent and 17% of the overall variance in HAZ and WHZ, respectively, are accounted for by variations across the 21 district locations in which sampled households were located. Mean HAZ differs considerably across districts (intercept = 0.116, p < 0.001). CONCLUSIONS: These results highlight the importance of effective management of policy-based programming and resource use to bring about nutrition gains on the ground. The NGI explained a non-negligible amount of variation in HAZ and WHZ, which underscores the fundamental role that good governance plays in promoting child nutrition and growth, and the value of seeking to measure it to assist governments in moving policies from paper to practice.

Dietary Diversity in Nepal: A Latent Class Approach.

BACKGROUND: Nutritional status has important implications for labor productivity, lifetime earnings, and country-wide economic development. Dietary diversity is an important contributor to nutrition. OBJECTIVE: To identify how patterns of food consumption are related to dietary diversity and to measure the potential for policy interventions to influence diet complexity. METHODS: Household dietary diversity scores were constructed using data from 11 809 rural and urban households surveyed in Nepal between 2013 and 2016. Diversity scores were based on 7-day recall information on food purchases and food consumed directly from agricultural production. Reported consumption from 14 food groups was mapped into 4 distinct dietary patterns via latent class analysis. Ordered probit regressions were used to identify factors associated with observed diet patterns. RESULTS: Diets are heterogeneous and map into 4 clusters along a continuum of complexity. Three identified diets are vegetarian and 1 is nonvegetarian. Diet complexity is associated with geography and socioeconomic features of the sample. On average, poor and agricultural households have less complex diets and households receiving remittances have more complex and higher quality diets. Road density is positively correlated with diet complexity. We find evidence of modest reductions in diet quality over the sample period. CONCLUSIONS: Results confirm heterogeneous dietary behavior of Nepalese households. The identified patterns could be used to more effectively target policies directed at nutrition education or efforts to improve health by diversifying and improving the nutritional quality of household diets, for example, through supplemental feeding programs, home garden promotion, or targeted food assistance programs.

Aflatoxin exposure and child nutrition: measuring anthropometric and long-bone growth over time in Nepal.

BACKGROUND: Naturally occurring aflatoxins may contribute to poor growth and nutritional statuses in children. OBJECTIVES: We analyzed the relationship between contemporary and lagged aflatoxin exposure and 1) length-for-age z-score (LAZ); and 2) length, knee-heel length, stunting, weight-for-age z-score (WAZ), and weight-for-length z-score (WLZ). METHODS: We conducted a longitudinal birth cohort study involving 1675 mother-infant dyads in rural Nepal. Participants were repeatedly visited from pregnancy to 2 years of age (2015-2019). One blood sample was collected during pregnancy and 4 samples were collected from the children at 3, 6, 12, and 18-22 months of age to measure concentrations of aflatoxin B1 (AFB1)-lysine adduct. Multivariate linear fixed-effects and logistic models with generalized estimating equations were used to identify associations between child growth and aflatoxin exposure. RESULTS: AFB1-lysine adducts were detected in the majority of children (at 3 months, 80.5%; at 6 months, 75.3%; at 12 months, 81.1%; and at 18-22 months, 85.1%) and in 94.3% of pregnant women. Changes in contemporary ln child AFB1-lysine adduct concentrations were significantly associated with changes in LAZ (ß, -0.05; 95% CI, -0.09 to -0.02; P = 0.003), length (ß, -0.19; 95% CI, -0.29 to -0.10; P < 0.001), knee-heel length (ß, -0.09; 95% CI, -0.13 to -0.05; P < 0.001), and WAZ (ß, -0.04; 95% CI, -0.07 to -0.005; P = 0.022). Serum aflatoxin concentrations were associated with stunting (OR, 1.18; 95% CI, 1.05-1.32; P = 0.005). Similar results were found in the models using changes in contemporary ln AFB1 adjusted for changes in child weight, with significant associations with changes in WLZ (ß, -0.07; 95% CI, -0.10 to -0.03; P < 0.001). Changes in time-lagged ln AFB1 (unadjusted and adjusted for changes in child weight) were associated with changes in length and knee-heel length. CONCLUSIONS: Our results add to the growing body of evidence confirming chronic aflatoxin exposure and suggest that exposure is significantly correlated with various negative growth outcomes, which may vary by child weight status. This trial was registered at clinicaltrials.gov as NCT03312049.

Informal food environment is associated with household vegetable purchase patterns and dietary intake in the DECIDE study: Empirical evidence from food vendor mapping in peri-urban Dar es Salaam, Tanzania.

We study the relationship between the food environment (FE) and the food purchase patterns, dietary intakes, and nutritional status of individuals in peri-urban Tanzania. In Africa, the prevailing high density of informal vendors creates challenges to characterizing the FE. We present a protocol and tool developed as part of the Diet, Environment, and Choices of positive living (DECIDE) study to measure characteristics of the FE. We mapped 6627 food vendors in a peri-urban settlement of Dar es Salaam, of which over 60% were semi-formal and informal (mobile) vendors. We compute and compare four FE metrics inspired by landscape ecology-density, dispersion, diversity, and dominance-to better understand how the informal food environment relates to food purchase patterns, diets, and nutritional status among households with persons living with human immunodeficiency virus (PLHIV).

Rainfall and child weight in Uganda.

We combine data from the 2006 and 2011 Uganda Demographic and Health Surveys (UDHS) with rainfall data and two waves of the Ugandan National Household Survey (UNHS) to study patterns in child weight, as measured by weight-for-height z scores (WHZ), among 3492 rural children below age 5 in Uganda. We focus on rainfall as a nutrition driver along agriculture and disease pathways. We find a positive and significant association between crop yield and WHZ, but the magnitude of this association diminishes as we control for covariates, especially the use of productivity-enhancing agricultural inputs. We find diarrheal disease to have a negative and significant association with WHZ, and modifying effects of social and environmental factors along the disease pathway. Contemporaneous rainfall is associated with a lower likelihood of diarrheal disease in areas with excess rainfall and a higher likelihood of diarrheal disease in rainfall deficit areas. Our findings reinforce calls for targeted and situation-sensitive policies to promote child nutrition.

Dietary determinants of aflatoxin B1-lysine adduct in pregnant women consuming a rice-dominated diet in Nepal.

BACKGROUND: Aflatoxins are found in diverse foods widely consumed worldwide. This study investigated the association between aflatoxin exposure and (a) consumption of specific foods, (b) dietary diversity (DD), and (c) seasonality. METHODS: Women enrolled in the AflaCohort Study in Banke, Nepal (n = 1648) were asked how often they ate certain food items in the past 7 days and 24 h. Serum aflatoxin B1-lysine (AFB1-lys) adduct levels, measured during pregnancy, were determined using high-performance liquid chromatography. Multivariable ordinary least squares and quantile regression models were used to examine incremental increases in AFB1-lys adduct levels per frequency of food consumption and the relationship between DD, seasonality, and increases in AFB1-lys adduct. RESULTS: Roughly 94% of women were exposed to aflatoxin (geometric mean 1.37 pg/mg). Women in the 30th, 50th, and 70th quantiles of aflatoxin exposure who reported one more occasion of maize consumption in the past week showed increases in AFB1-lys adduct levels: 0.094, 0.112, and 0.109 pg/mg (p < 0.05, all). Women in the 30th, 50th, 70th, and 90th quantiles of exposure who reported one more occasion of groundnut consumption in the past week also showed increases in AFB1-lys adduct levels: 0.058 (p < 0.001), 0.085 (p < 0.01), 0.133 (p < 0.001), and 0.133 (p < 0.001) pg/mg. Winter month recruitment was positively associated with AFB1-lys adduct levels at all quantiles of aflatoxin exposure (range: 0.313-1.101 pg/mg, p < 0.001). DD was not predictive of aflatoxin exposure. CONCLUSIONS: Our findings justify integrated approaches to aflatoxin reduction, including regulatory, agricultural, and food safety interventions across the value chain and at the household level.

Relatively Low Maternal Aflatoxin Exposure Is Associated with Small-for-Gestational-Age but Not with Other Birth Outcomes in a Prospective Birth Cohort Study of Nepalese Infants.

BACKGROUND: Exposure to aflatoxin has garnered increased attention as a possible contributor to adverse birth outcomes. OBJECTIVE: The objective of this study was to investigate the relation of maternal aflatoxin exposure with adverse birth outcomes such as birth weight, birth length, anthropometric z scores, low birth weight (LBW), small-for-gestational-age (SGA), stunting, and preterm birth (PTB). METHODS: This study used maternal and newborn data from the AflaCohort Study, an ongoing birth cohort study in Banke, Nepal (n = 1621). Data on aflatoxin B1 (AFB1)-lysine adducts in maternal serum were collected once during pregnancy (at mean ± SD: 136 ± 43 d of gestation). Maternal serum AFB1-lysine adduct concentration was measured via HPLC. Linear and logistic regression analyses were used to determine if maternal aflatoxin exposure was associated with 1) birth weight and length (primary outcomes) and 2) anthropometric z scores, LBW (weight <2.5 kg), SGA (weight <10th percentile for gestational age and sex), stunting at birth (length-for-age z score less than -2), or PTB (born <37 weeks of gestation) (secondary outcomes). RESULTS: The geometric mean of maternal serum AFB1-lysine adduct concentration was 1.37 pg/mg albumin (95% CI: 1.30, 1.44 pg/mg albumin). Twenty percent of infants were of LBW and 32% were SGA. Sixteen percent of infants were stunted at birth. In addition, 13% of infants were born preterm. In logistic multivariate regression models, mean maternal serum AFB1-lysine adduct concentrations were significantly associated with SGA (OR: 1.13; 95% CI: 1.00, 1.27; P < 0.05). CONCLUSIONS: Findings from this study suggest a small but significant association between serum AFB1-lysine adduct concentrations in pregnant women and SGA. Maternal aflatoxin exposure was not associated with other birth outcomes. These results highlight the need for future research on a threshold level of aflatoxin exposure needed to produce detectable adverse birth outcomes. This trial was registered at clinicaltrials.gov as NCT03312049.

Multilevel analysis of individual, household, and community factors influencing child growth in Nepal.

BACKGROUND: Childhood malnutrition and growth faltering is a serious concern in Nepal. Studies of child growth typically focus on child and mother characteristics as key factors, largely because Demographic and Health Surveys (DHS) collect data at these levels. To control for and measure the importance of higher-level factors this study supplements 2006 and 2011 DHS data for Nepal with data from coincident rounds of the Nepal Living Standards Surveys (NLSS). NLSS information is summarized at the district level and matched to children using district identifiers available in the DHS. METHODS: The sample consists of 7533 children aged 0 to 59 months with complete anthropometric measurements from the 2006 and 2011 NDHS. These growth metrics, specifically height-for-age and weight-for-height, are used in multilevel regression models, with different group designations as upper-level denominations and different observed characteristics as upper-level predictors. RESULTS: Characteristics of children and households explain most of the variance in height-for-age and weight-for-height, with statistically significant but relatively smaller overall contributions from community-level factors. Approximately 6% of total variance and 22% of explained variance in height-for-age z-scores occurs between districts. For weight-for-height, approximately 5% of total variance, and 35% of explained variance occurs between districts. CONCLUSIONS: The most important district-level factors for explaining variance in linear growth and weight gain are the percentage of the population belonging to marginalized groups and the distance to the nearest hospital. Traditional determinants of child growth maintain their statistical power in the hierarchical models, underscoring their overall importance for policy attention.

Does improved storage technology promote modern input use and food security? Evidence from a randomized trial in Uganda.

We use panel data from a randomized controlled trial (RCT) administered among 1200 smallholders in Uganda to evaluate input use and food security impacts of an improved maize storage technology. After two seasons, households who received the technology were 10 percentage points more likely to plant hybrid maize varieties that are more susceptible to insect pests in storage than traditional lower-yielding varieties. Treated smallholders also stored maize for a longer period, reported a substantial drop in storage losses, and were less likely to use storage chemicals than untreated cohorts. Our results indicate that policies to promote soft kernel high-yielding hybrid maize varieties in sub-Saharan Africa should consider an improvement in post-harvest storage as a complementary intervention to increase adoption of these varieties.

Infrastructure mitigates the sensitivity of child growth to local agriculture and rainfall in Nepal and Uganda.

This paper investigates linear growth and weight gain among 11,946 children below the age of 5 y in Nepal and Uganda, testing the hypothesis that child growth is sensitive to precipitation during key periods in a child's early life. The paper also tests the importance of the economic and physical environments in which children reside. Outcomes are not completely explained by agricultural performance or the observed characteristics of children or their households. Associations between height-for-age z-score (HAZ) and weight-for-height z-score (WHZ) and rainfall are generally positive, but patterns are heterogeneous. At the mean, an increase of 1 SD in agricultural season rainfall is associated with a 0.05- to 0.25-point higher z-score, which translates into increases of roughly 4-13% for HAZ and 1-7% for WHZ. Nutrition sensitivity to rainfall is greater in Nepal, where rainfall is lower on average and wider ranging, than in Uganda. Health and transport infrastructure help to buffer children from the deleterious nutritional effects of precipitation shortfalls, underscoring the role of broadly based economic development in promoting child nutrition.

Disaster risk, social vulnerability, and economic development.

This paper examines the extent to which economic development decreases a country's risk of experiencing climate-related disasters as well as the societal impacts of those events. The paper proceeds from the underlying assumption that disasters are not inherently natural, but arise from the intersection of naturally-occurring hazards within fragile environments. It uses data from the International Disaster Database (EM-DAT), representing country-year-level observations over the period 1980-2007. The study finds that low-income countries are significantly more at risk of climate-related disasters, even after controlling for exposure to climate hazards and other factors that may confound disaster reporting. Following the occurrence of a disaster, higher income generally diminishes a country's social vulnerability to such happenings, resulting in lower levels of mortality and morbidity. This implies that continued economic development may be a powerful tool for lessening social vulnerability to climate change.

Climatic conditions and child height: Sex-specific vulnerability and the protective effects of sanitation and food markets in Nepal.

Environmental conditions in early life are known to have impacts on later health outcomes, but causal mechanisms and potential remedies have been difficult to discern. This paper uses the Nepal Demographic and Health Surveys of 2006 and 2011, combined with earlier NASA satellite observations of variation in the Normalized Difference Vegetation Index (NDVI) at each child's location and time of birth to identify the trimesters of gestation and periods of infancy when climate variation is linked to attained height later in life. We find significant differences by sex: males are most affected by conditions in their second trimester of gestation, and females in the first three months after birth. Each 100-point difference in NDVI at those times is associated with a difference in height-for-age z-score (HAZ) measured at age 12-59 months of 0.088 for boys and 0.054 for girls, an effect size similar to that of moving within the distribution of household wealth by close to one quintile for boys and one decile for girls. The entire seasonal change in NDVI from peak to trough is approximately 200-300 points during the 2000-2011 study period, implying a seasonal effect on HAZ similar to one to three quintiles of household wealth. This effect is observed only in households without toilets; in households with toilets, there is no seasonal fluctuation, implying protection against climatic conditions that facilitate disease transmission. We also use data from the Nepal Living Standards Surveys on district-level agricultural production and marketing, and find a climate effect on child growth only in districts where households' food consumption derives primarily from their own production. Robustness tests find no evidence of selection effects, and placebo regression results reveal no significant artefactual correlations. The timing and sex-specificity of climatic effects are consistent with previous studies, while the protective effects of household sanitation and food markets are novel indications of mechanisms by which households can gain resilience against adverse climatic conditions.

Environmental variability and child growth in Nepal.

Data from the 2011 Nepal Demographic Health Survey are combined with satellite remotely sensed Normalized Difference Vegetation Index (NDVI) data to evaluate whether interannual variability in weather is associated with child health. For stunting, we focus on children older than 24 months of age. NDVI anomaly averages during cropping months are evaluated during the year before birth, the year of birth, and the second year after birth. For wasting, we assess children under 59 months of age and relate growth to NDVI averages for the current and most recent growing periods. Correlations between short-run indicators of child growth and intensity of green vegetation are generally positive. Regressions that control for a range of child-, mother- and household-specific characteristics produce mixed evidence regarding the role of NDVI anomalies during critical periods in a child's early life and the subsequent probability of stunting and wasting. Overall findings suggest that the relationship between environmental conditions and child growth are heterogeneous across the landscape in Nepal and, in many cases, highly non-linear and sensitive to departures from normality.

Taxes and Bribes in Uganda.

Using data from 433 firms operating along Uganda's charcoal and timber supply chains we investigate patterns of bribe payment and tax collection between supply chain actors and government officials responsible for collecting taxes and fees. We examine the factors associated with the presence and magnitude of bribe and tax payments using a series of bivariate probit and Tobit regression models. We find empirical support for a number of hypotheses related to payments, highlighting the role of queuing, capital-at-risk, favouritism, networks, and role in the supply chain. We also find that taxes crowd-in bribery in the charcoal market.

Using satellite remote sensing and household survey data to assess human health and nutrition response to environmental change.

Climate change and degradation of ecosystem services functioning may threaten the ability of current agricultural systems to keep up with demand for adequate and inexpensive food and for clean water, waste disposal and other broader ecosystem services. Human health is likely to be affected by changes occurring across multiple geographic and time scales. Impacts range from increasing transmissibility and the range of vectorborne diseases, such as malaria and yellow fever, to undermining nutrition through deleterious impacts on food production and concomitant increases in food prices. This paper uses case studies to describe methods that make use of satellite remote sensing and Demographic and Health Survey data to better understand individual-level human health and nutrition outcomes. By bringing these diverse datasets together, the connection between environmental change and human health outcomes can be described through new research and analysis.

Land Use Change, Fuel Use and Respiratory Health in Uganda.

This paper examines how biomass supply and consumption are affected by land use change in Uganda. We find that between 2007 and 2012 there was a 22% reduction in fuelwood sourced from proximate forests, and an 18% increase in fuelwood sourced from fallows and other areas with lower biomass availability and quality. We estimate a series of panel regression models and find that deforestation has a negative effect on total fuel consumed. We also find that access to forests, whether through ownership or proximity, plays a large role in determining fuel use. We then explore whether patterns of biomass fuel consumption are related to the incidence of acute respiratory infection using a cross-sectional data set of 1209 women and 598 children. We find a positive and significant relationship between ARI and the quantity of fuelwood from non-forest areas; a 100 kilogram increase in fuelwood sourced from a non-forest area results in a 2.4% increase in the incidence of ARI for children. We find the inverse effect of increased reliance on crop residues. As deforestation reduces the availability of high quality fuelwood, rural households may experience higher incidence of health problems associated with exposure to biomass burning.