Seasonal variation in the proximal determinants of undernutrition during the first 1000 days of life in rural South Asia: A comprehensive review

Seasonal changes in body composition in children from Maya agriculturalists in central Yucatán, Mexico

INTRODUCTION

Development policies have aimed to substitute subsistence agriculture for cash crops or other cash generating activities to encourage local farmers to depend on store-bought groceries available year-round instead of seasonal subsistence crops. In this paper, we test the hypothesis that increased dependence on store bought foods has decreased seasonal changes in nutritional status and fat mass in Maya Children from Yucatan, Mexico.

METHODS

Weight for age (W/A), body mass index (BMI), and tricipital Skinfold z scores in children under the age of 10 years from 14 Maya rural towns with different degrees of development were compared longitudinally between scarcity and abundance seasons using a repeated measures analysis of variance. Height for age (H/A) z scores were also estimated.

RESULTS

Origin of food consumed corresponded to the town's degree of development. Nutritional status (W/Az) and adiposity, BMI, and tricipital z scores were significantly lower during the scarcity season in every community. W/Az, tricipital skinfold z, and H/Az scores were significantly higher in developed than in traditional towns, yet in both types of town W/Az and H/Az scores were below the WHO standard mean. Tricipital skinfold z score was only below the WHO standard amongst traditional towns during the scarcity season.

CONCLUSIONS

Increased dependence on store foods failed to eliminate significant losses in body fat during the scarcity season. This failure may be affecting linear growth and promoting a thrifty phenotype that is seen in short and stocky individuals with a tendency to accumulate fat during abundance seasons.

Peak timing of slowest growth velocity among young children coincides with highest ambient temperatures in Burkina Faso: a longitudinal study

BACKGROUND

Seasonal cycles in climatic factors affect drivers of child growth and contribute to seasonal fluctuations in undernutrition. Current growth seasonality models are limited by categorical definitions of seasons that rely on assumptions about their timing and fail to consider their magnitude.

OBJECTIVE

We disentangle the relationship between climatic factors and growth indicators, using harmonic regression to determine how child growth is related to peaks in temperature, precipitation, and vegetation.

METHODS

Longitudinal anthropometric data collected between August 2014 and December 2016 from 5039 Burkinabè children measured monthly from age 6 to 28 mo (108,580 observations) were linked with remotely sensed daily precipitation, vegetation, and maximum air temperature. Our models parsimoniously extract a cyclic signal with multiple potential peaks, to compare the magnitude and timing of seasonal peaks in climatic factors and morbidity with that of nadirs in growth velocity (cm/mo, kg/mo).

RESULTS

Length and weight velocity were slowest twice a year, coinciding both times with the highest temperatures, and peak fever incidence. Length velocity is slowest 13 d after the first temperature peak in April, and 5 d after the second. Similarly, weight velocity is slowest 13 d before the first temperature peak, and 11 d before the second. The statistical relationship between temperature and anthropometry shows that when the current temperature is higher, weight velocity is lower (β = -0.0048; 95% CI: -0.0059, -0.0038), and length velocity is higher (β = 0.0088; 95% CI: 0.0070, 0.0105).

CONCLUSIONS

Results suggest that child health and development are more affected by high temperatures than by other aspects of climatic seasonality such as rainfall. Emerging shifts in climatic conditions will pose challenges to optimal growth, highlighting the importance of changes that optimize the timing of nutrition interventions and address environmental growth-limiting conditions.

CLINICAL TRIAL REGISTRY

Clinicaltrials.gov: NCT02071563.

Seasonal variation in the association between household food insecurity and child undernutrition in Bangladesh: Mediating role of child dietary diversity

Household food insecurity (HFI) and child dietary diversity (CDD) are variable across seasons. We examined seasonal variation in HFI and child undernutrition association and tested how CDD mediates this association. We analyzed data for 26,353 children aged 6-59 months drawn from nationally representative cross-sectional Food Security and Nutrition Surveillance Project data collected during 2012-2014 in Bangladesh across three seasons annually: Post-Aman harvest (January-April); Monsoon (May-August); and Post-Aus harvest (September-December). Multivariable logistic regression analysis adjusted for individual, maternal, household and geographical characteristics reveals that children of food-insecure households were more likely than food-secure households to be stunted (adjusted odds ratio, AOR: 1.12; 95% confidence interval, CI: 1.02-1.23; p < 0.05), wasted (AOR: 1.21; 95% CI: 1.05-1.39; p < 0.01) and underweight (AOR: 1.16; 95% CI: 1.04-1.3; p < 0.01). CDD mediated 6.1% of the total effect of HFI on underweight. These findings varied across seasons. HFI was associated with greater odds of underweight during Monsoon (AOR: 1.32; 95% CI: 1.08-1.62; p < 0.01) and Post-Aus (AOR: 1.21; 95% CI: 1.06-1.37; p < 0.01) while wasting during Post-Aus (AOR: 1.65; 95% CI: 1.35-2.01; p < 0.001). CDD largely mediated the total effect of HFI on underweight during the Post-Aman in 2012-2014 (23.2%). CDD largely mediated the total effect of HFI on wasting (39.7%) during Post-Aman season in 2014 and on underweight (13.7%) during the same season in 2012. These findings demonstrate that HFI is seasonally associated with child undernutrition and mediated by CDD as well in Bangladesh and seasonality and diversity should be considered while designing appropriate population-level food-based interventions to resolve child undernutrition.

Prevalence of Zero-Food among infants and young children in India: patterns of change across the States and Union Territories of India, 1993-2021

Background

The extent of food deprivation and insecurity among infants and young children-a critical phase for children's current and future health and well-being-in India is unknown. We estimate the prevalence of food deprivation among infants and young children in India and describe its evolution over time at sub-national levels.

Methods

Data from five National Family Health Surveys (NFHS) conducted in 1993, 1999, 2006, 2016 and 2021 for the 36 states/Union Territories (UTs) of India were used. The study population consisted of the most recent children (6-23 months) born to mothers (aged 15-49 years), who were alive and living with the mother at the time of survey (n = 175,614 after excluding observations that had no responses to the food question). Food deprivation was defined based on the mother's reporting of the child having not eaten any food of substantial calorific content (i.e., any solid/semi-solid/soft/mushy food types, infant formula and powdered/tinned/fresh milk) in the past 24 hours (h), which we labelled as "Zero-Food". In this study, we analyzed Zero-Food in terms of percent prevalence as well as population headcount burden. We calculated the Absolute Change (AC) to quantify the change in the percentage points of Zero-Food across time periods for all-India and by states/UTs.

Findings

The prevalence of Zero-Food in India marginally declined from 20.0% (95% CI: 19.3%-20.7%) in 1993 to 17.8% (95% CI: 17.5%-18.1%) in 2021. There were considerable differences in the trajectories of change in the prevalence of Zero-Food across states. Chhattisgarh, Mizoram, and Jammu and Kashmir experienced high increase in the prevalence of Zero-Food over this time period, while Nagaland, Odisha, Rajasthan and Madhya Pradesh witnessed a significant decline. In 2021, Uttar Pradesh (27.4%), Chhattisgarh (24.6%), Jharkhand (21%), Rajasthan (19.8%) and Assam (19.4%) were states with the highest prevalence of Zero-Food. As of 2021, the estimated number of Zero-Food children in India was 5,998,138, with the states of Uttar Pradesh (28.4%), Bihar (14.2%), Maharashtra (7.1%), Rajasthan (6.5%), and Madhya Pradesh (6%) accounting for nearly two-thirds of the total Zero-Food children in India. Zero-Food in 2021 was concerningly high among children aged 6-11 months (30.6%) and substantial even among children aged 18-23 months (8.5%). Overall, socioeconomically advantaged groups had lower prevalence of Zero-Food than disadvantaged groups.

Interpretation

Concerted efforts at the national and state levels are required to further strengthen existing policies, and design and develop new ones to provide affordable food to children in a timely and equitable manner to ensure food security among infants and young children.

Funding

This study was supported by a grant from the Bill & Melinda Gates Foundation INV-002992.

S, Jana S, Subramanian SV, Unisa S. Role of seasonality variation in prevalence and trend of childhood wasting in India: An empirical analysis using National Family Health Surveys, 2005-2021

Background

Wasting develops over a short period and can be reversed with short-term interventions. The prevalence of wasting typically varies from season to season-becoming higher during the monsoon (June to September) season as compared to the winter (October to January) and summer (February to May) seasons every year in a cyclical fashion. However, to the best of our knowledge, using nationally representative demographic surveys to extensively study the impact of the timing of the survey on the results and trends around wasting has not been done so far.

Objectives

The goal of this study is to ascertain whether seasonality has an impact on the trend and levels of wasting between NFHS-3 (2005-2006) and NFHS-5 (2019-2021).

Methods

The analysis was based on data on 51,555, 259,627, and 232,920 children under 5 years included in NFHS-3, NFHS-4, and NFHS-5 respectively. Multivariable logistic regression analysis and the predicted probabilities approach were employed to examine the effect of the months of interview on the prevalence of wasting. The analysis was conducted for 9 states of India which had data for comparable months to compute wasting levels.

Results

We found that at the national level, wasting increased in India by one per cent from NFHS-3 to NFHS-4 but declined by 2% from NFHS-4 to NFHS-5. The results show that seasonality significantly influenced the prevalence of wasting. It was observed that compared to January, the odds of wasting were particularly higher in summer and monsoon seasons, especially in the month of August across all three rounds, indicating the influence of seasonality in the prevalence of wasting in the country.

Discussion

The prevalence of wasting in India needs to be interpreted across seasonal changes as seasonality affects many of the variables intrinsically related to child health and nutritional status.

Total trade, cereals trade and undernourishment: new empirical evidence for developing countries

While trade policies are considered strategic to shape national food systems and promote food security, the ultimate impact of trade openness on hunger is still highly debated. Using a sample of 81 developing over the period 2001–2016 and principally focusing on the prevalence of undernourishment, this study provides new empirical evidence. Firstly, it estimates the impact of total trade differentiating the effects that pass through changes in real per capita income—i.e. on the economic access to food—from the residual effects that it directly has on the other dimensions of food security. Subsequently, it concentrates on cereals trade, that usually is the most affected by trade restrictions and the most correlated to undernourishment. Finally, it explores the different effects of cereals trade in terms of imports and exports. Three main conclusions emerge: (a) trade openness contributes to lower the prevalence of undernourishment in developing countries and most of this effect is not income-mediated but, rather, passes through the impacts that it directly has on the other dimensions of food security; (b) such impacts are mostly driven by the trade openness of the cereals sector where (c) its import component turns out to play the main role.

Seasonality and nutrition-sensitive farming in rural Northern Ghana

In rural sub-Saharan Africa, where malnutrition in all its forms is rife, the greatest gap between the availability of foods and the foods needed for a nutritious diet are faced during the ‘hunger season’. We investigated what rural households in Northern Ghana would need to grow to ensure year-round availability of a nutrient adequate diet or the income required to fulfil their dietary needs. We applied linear programming to model different scenarios and interventions. Our results provide three major insights. First, considering seasonality is crucial in nutrition-sensitive farming. Ensuring a nutritious diet year-round requires enhanced availability of vegetables and fruits throughout the year. Second, although staple crops do not provide the full range of essential nutrients, increasing their yields allows for a reduction of field size, freeing up space for the production of other foods belonging to a nutritious diet, such as vegetables. Third, small farms are unable to produce sufficient food to cover their needs. They depend on income both from agriculture and other sources, and the availability of types of foods on markets to meet their dietary needs. Our study shows the value of modelling the range of dietary effects from agricultural interventions in a specific context, using a local feasible nutritious diet as a starting point and taking seasonality into account.

Exploring alternative protein sources: Evidence from patents and articles focusing on food markets

This review considers alternative protein sources through the analysis of food science literature and patents. Data collection was performed from scientific literature and patent documents using the Scopus and National Institute of Industrial Property databases, with a term combination "alternative protein source" and "source* AND protein* AND alternative*". A total of 945 documents were analyzed. The scientific prospection showed that agricultural and biological science was the main application area. The food industry area had the highest number of filed patents. The annual evaluation of published documents demonstrated that this area had been investigated since the 1970s, and the number of articles was twice than that of filled patents. Although protein products are available for sale, animal and vegetable sources replace conventional protein products. Presently, alternative protein sources are already a worldwide trend in the food industry, enabling the development of new products to facilitate their insertion into the consumer market.

Children born during the hunger season are at a higher risk of severe acute malnutrition: Findings from a Guinea Sahelian ecological zone in Northern Ghana

Heightened food insecurity in the hunger season increases the risk of severe acute malnutrition (SAM) in childhood. This study examined the association of season of birth with SAM in a Guinean Sahelian ecological zone. We analyzed routine health and sociodemographic surveillance data from the Navrongo Health and Socio-demographic Surveillance System collected between 2011 and 2018. January-June, the period of highest food insecurity, was defined as the hunger season. We defined moderate acute malnutrition as child mid-upper arm circumference (MUAC) between 115 mm and 135 mm and SAM as MAUC ≤ 115 mm. We used adjusted logistic regression to quantify the association between the season of birth and SAM in children aged 6-35 months. From the 29,452 children studied, 24% had moderate acute malnutrition. Overall, 1.4% had SAM, with a higher prevalence (1.8%) in the hunger season of birth. Compared with those born October-December, adjusted odds ratios (aOR) and 95% confidence interval (95% CI) for SAM were increased for children born in the hunger season: January-March (1.77 [1.31-2.39]) and April-June (1.92 [1.44-2.56]). Low birth weight, age at an assessment of nutritional status, and ethno-linguistic group were also significantly associated with SAM in adjusted analyses. Our study established that being born in the hunger season is associated with a higher risk of severe acute malnutrition. The result implies improvement in the food supply to pregnant and lactating mothers through sustainable agriculture or food system change targeting the hunger season may reduce the burden of severe acute malnutrition.

Methods for assessing seasonal and annual trends in wasting in Indian surveys (NFHS-3, 4, RSOC & CNNS)

Wasting in children under-five is a form of acute malnutrition, a predictor of under-five child mortality and of increased risk of future episodes of stunting and/or wasting. In India, national estimates of wasting are high compared to international standards with one in five children found to be wasted. National surveys are complex logistical operations and most often not planned or implemented in a manner to control for seasonality. Collection of survey data across differing months across states introduces seasonal bias. Cross-sectional surveys are not designed to collect data on seasonality, thus special methods are needed to analyse the effect of data collection by month. We developed regression models to estimate the mean weight for height (WHZ), prevalence of wasting for every month of the year for an average year and an overall weighted survey estimates controlling for the socio-demographic variation of data collection across states and populations over time. National level analyses show the mean WHZ starts at its highest in January, falls to the lowest in June/August and returns towards peak at year end. The prevalence of wasting is lowest in January and doubles by June/August. After accounting for seasonal patterns in data collection across surveys, the trends are significantly different and indicate a stagnant period followed by a decline in wasting. To avoid biased estimates, direct comparisons of acute malnutrition across surveys should not be made unless seasonality bias is appropriately addressed in planning, implementation or analysis. Eliminating the seasonal variation in wasting would reduce the prevalence by half and provide guidance towards further reduction in acute malnutrition.

The future of human malnutrition: rebalancing agency for better nutritional health

The major threat to human societies posed by undernutrition has been recognised for millennia. Despite substantial economic development and scientific innovation, however, progress in addressing this global challenge has been inadequate. Paradoxically, the last half-century also saw the rapid emergence of obesity, first in high-income countries but now also in low- and middle-income countries. Traditionally, these problems were approached separately, but there is increasing recognition that they have common drivers and need integrated responses. The new nutrition reality comprises a global ‘double burden’ of malnutrition, where the challenges of food insecurity, nutritional deficiencies and undernutrition coexist and interact with obesity, sedentary behaviour, unhealthy diets and environments that foster unhealthy behaviour. Beyond immediate efforts to prevent and treat malnutrition, what must change in order to reduce the future burden? Here, we present a conceptual framework that focuses on the deeper structural drivers of malnutrition embedded in society, and their interaction with biological mechanisms of appetite regulation and physiological homeostasis. Building on a review of malnutrition in past societies, our framework brings to the fore the power dynamics that characterise contemporary human food systems at many levels. We focus on the concept of agency, the ability of individuals or organisations to pursue their goals. In globalized food systems, the agency of individuals is directly confronted by the agency of several other types of actor, including corporations, governments and supranational institutions. The intakes of energy and nutrients by individuals are powerfully shaped by this ‘competition of agency’, and we therefore argue that the greatest opportunities to reduce malnutrition lie in rebalancing agency across the competing actors. The effect of the COVID-19 pandemic on food systems and individuals illustrates our conceptual framework. Efforts to improve agency must both drive and respond to complementary efforts to promote and maintain equitable societies and planetary health.

Comprehensive analysis of the association of seasonal variability with maternal and neonatal nutrition in lowland Nepal

OBJECTIVE

To provide a comprehensive seasonal analysis of pregnant mothers' eating behaviour and maternal/newborn nutritional status in an undernourished population from lowland rural Nepal, where weather patterns, agricultural labour, food availability and disease prevalence vary seasonally.

DESIGN

Secondary analysis of cluster-randomised Low Birth Weight South Asia Trial data, applying cosinor analysis to predict seasonal patterns.

OUTCOMES

Maternal mid-upper arm circumference (MUAC), BMI, dietary diversity, meals per day, eating down and food aversion in pregnancy (≥31 weeks' gestation) and neonatal z-scores of length-for-age (LAZ), weight-for-age (WAZ) and head circumference-for-age (HCAZ) and weight-for-length (WLZ).

SETTING

Rural areas of Dhanusha and Mahottari districts in plains of Nepal.

PARTICIPANTS

2831 mothers aged 13-50 and 3330 neonates.

RESULTS

We found seasonal patterns in newborn anthropometry and pregnant mothers' anthropometry, meal frequency, dietary diversity, food aversion and eating down. Seasonality in intake varied by food group. Offspring anthropometry broadly tracked mothers'. Annual amplitudes in mothers' MUAC and BMI were 0·27 kg/m2 and 0·22 cm, with peaks post-harvest and nadirs in October when food insecurity peaked. Annual LAZ, WAZ and WLZ amplitudes were 0·125, 0·159 and 0·411 z-scores, respectively. Neonates were the shortest but least thin (higher WLZ) in winter (December/January). In the hot season, WLZ was the lowest (May/June) while LAZ was the highest (March and August). HCAZ did not vary significantly. Food aversion and eating down peaked pre-monsoon (April/May).

CONCLUSIONS

Our analyses revealed complex seasonal patterns in maternal nutrition and neonatal size. Seasonality should be accounted for when designing and evaluating public heath nutrition interventions.

Season of Data Collection of Child Dietary Diversity Indicators May Affect Conclusions About Longer-Term Trends in Peru, Senegal, and Nepal

BACKGROUND

The WHO-UNICEF minimum dietary diversity (MDD) indicator for children aged 6-23 mo is a global monitoring indicator used to track multi-year population-level changes in dietary quality, but the influence of seasonality on MDD estimates remains unclear.

OBJECTIVES

To examine how seasonality of data collection may influence population-level MDD estimates and inferences about MDD changes over multiple survey years.

METHODS

We selected countries with 3 or more consecutive years of MDD data collection, including continuous national Demographic Health Surveys in Senegal (2012-2017; n = 12,183) and Peru (2005-2016; n = 35,272) and the Policy and Science for Health, Agriculture, and Nutrition sentinel site seasonal surveys (covering 3 seasons/y) in Nepal (2013-2016; n  = 1309). The MDD prevalence (≥5 of 8 food groups) and an 8-item continuous Food Group Score (FGS) and 95% CIs were estimated by month and compared for lean and non-lean seasons using ordinary least squares regression with dummy variables for year.

RESULTS

The national prevalence of MDD was higher in Peru (75.4%) than in Nepal (39.1%) or in Senegal (15.7%). Children in Peru were 1.8% (coefficient, -0.0179; 95% CI, -0.033 to -0.002) less likely to achieve MDD during the lean season. Similar seasonal magnitudes were observed in Senegal (coefficient, -0.0347; 95% CI, -0.058 to -0.011) and Nepal (coefficient, -0.0133; 95% CI, -0.107 to 0.081). The FGS was about 0.1 item lower during the lean season in all 3 countries. In comparison, MDD increased by an average rate of only 4.2 and 4.4 percentage points per 5 y in Peru and Senegal, respectively. Intakes of specific food groups were stable across months in all countries, with the provitamin A-rich food group exhibiting the most seasonality.

CONCLUSIONS

The magnitude of seasonal variation in MDD prevalence was smaller than expected but large relative to longer-term changes. If large-scale surveys are not conducted in the same season, biased conclusions about trends are possible.

Seasonal trends and maternal characteristics as predictors of maternal undernutrition and low birthweight in Eastern Maharashtra, India

Few studies have assessed whether women and infants in rural and peri-urban communities in South Asia experience seasonal fluctuations in nutritional status; however, a handful of studies have documented seasonal variability in risk factors for undernutrition including food availability, physical activity and infections. We used data from the Maternal and Newborn Health (MNH) registry, a population-based pregnancy and birth registry in Eastern Maharashtra, India, to analyse seasonal trends in birthweight and maternal nutritional status-body mass index (BMI) and haemoglobin-in the first trimester of pregnancy. We plotted monthly and seasonal trends in birthweight, and maternal BMI and haemoglobin, and used multivariable regression models to identify seasonal and maternal characteristics that predicted each outcome. Between October 2014 and January 2018, MNH included 29,253 livebirths with recorded birthweight. BMI was assessed in 15,252 women less than 12 weeks of gestation and haemoglobin in 18,278 women less than 13 weeks of gestation. Maternal characteristics (age, education, parity and height) were significantly associated with nutritional status; however, there were minimal seasonal fluctuations in birthweight or maternal nutrition. There were significant secular trends in maternal haemoglobin; between 2014 and 2018, the prevalence of maternal anaemia decreased from 91% to 79% and moderate or severe anaemia from 53% to 37%. The prevalence of maternal underweight (45.3%) and overweight (9.8%) and low birthweight (19.1%) remained relatively constant over the study period. Our findings highlight that in some rural and peri-urban areas in South Asia, tackling systemic drivers of malnutrition may be more effective than targeted interventions based on season.

Preschool Child Nutritional Status in Nepal in 2016: A National Profile and 40-Year Comparative Trend

BACKGROUND

Preschool child anthropometric status has been assessed nationally in Nepal since 1975, with semi-decadal surveys since 1996, plus several recent, short-interval surveys to track progress toward achieving a World Health Assembly (WHA) goal to reduce stunting to 24% by 2025.

OBJECTIVE

We report prevalence of preschool child stunting and wasting from a national survey in 2016 and place findings into the context of national trends and alignment for Nepal to attain its WHA 2025 goal.

METHODS

A representative, midyear Policy and Science for Health, Agriculture and Nutrition (PoSHAN) survey was conducted in 2016 on 5479 children <60 months in 4051 households in 21 village development committees. Child weight and height were measured, and sociodemographic factors were assessed. Data from previous surveys (Nepal Demographic Health Surveys, PoSHAN) were also acquired, and rates of stunting (<-2 height-for-age z score) and wasting (<-2 weight-for-height z score) were compared to current World Health Organization standards. Trends were expressed as average annual rates of reduction (AARR).

RESULTS

Nationally, in 2016, 34.1% of preschoolers were stunted and 13.7% wasted. Stunting was highest in the Mountains (40.6%) and wasting highest in the Tarai (18.9%). Trend analysis revealed a steady decline (3.8% AARR) in stunting from 2001 to 2013, with virtually no decline from 2013 to 2016. Wasting has been continually high and variable, at ≥8%, since 1975.

CONCLUSIONS

Following a steady decline in prevalence, preschool child stunting has plateaued at ∼35% in Nepal, while wasting has changed little over time, offering the opportunity to inform, reassess, and adjust, as needed, efforts to reach WHA 2025 goals.