Material wealth in 3D: Mapping multiple paths to prosperity in low- and middle- income countries

Interpersonal violence-related physical injury in low- and middle-income countries and its association with markers of socioeconomic status: a systematic review

BACKGROUND

Interpersonal violence-related physical injury (IPVRPI) is a leading cause of death in low- and middle-income countries (LMICs), yet reliable data relating socioeconomic status (SES) and IPVRPI in these settings are lacking. We analyzed existing literature on associations between SES and IPVRPI in LMICs to understand how SES is measured in these contexts and synthesize data relating markers of SES to IPVRPI at the individual-level in order to inform future hospital-based IPVRPI prevention efforts.

METHODS

We searched Ovid MEDLINE, EMBASE, and Global Health databases in January 2022 for analytical studies from LMICs that explored individual-level associations between IPVRPI and markers of SES. Studies about intimate partner violence, suicide, or children < 12 years old were excluded, as were population-level studies. Markers of SES considered were educational attainment, employment, and household wealth. Collated data relating these SES indicators with IPVRPI were presented in forest plots.

RESULTS

A total of 34 studies from 20 LMICs were included. Brazil, Mexico, and South Africa were the most represented countries. Studies were mostly cross-sectional (n = 23), and data were typically from patient hospital records (n = 17) or population surveys (n = 12). Included studies explored associations between IPVRPI and education (n = 26), employment (n = 26), and household wealth (n = 19). Categorizations, particularly for employment and wealth, were highly variable between studies. Among the studies that performed multivariable analyses, IPVRPI was found to be significantly associated with lower educational attainment (n = 6), unemployment (n = 4), and lower household wealth (n = 6).

CONCLUSIONS

Numerous studies have explored individual-level associations between IPVRPI and markers of SES among LMIC populations. Across a variety of LMIC contexts, we found that IPVRPI tended to be associated with markers of lower SES. Further conclusions were limited by the heterogeneity of SES measure categorizations, varied IPVRPI case definitions, and lack of adjusted analyses. Future research should ensure SES measures utilized in LMICs are comprehensive and comparable, focus more specifically on IPVRPI from community violence, and consider hospital-based interventions to reduce risk of IPVRPI in LMIC settings.

Shaping childhood obesity: behavioral and environmental risk factors associated with body mass index trajectories between 2 and 9 years in Samoan children

BACKGROUND/OBJECTIVE

Pacific children are at high obesity risk, yet the behavioral and environmental factors that contribute to obesity development in this setting remain poorly understood. We assessed associations between childhood risk factors for obesity with body mass index (BMI) trajectories between ages 2-9 years in Samoa.

SUBJECTS/METHODS

In a prospective cohort of 485 children from 'Upolu, we measured weight and height at ages 2-4 (2015), 3.5-8 (2017-18), and 5.5-11 years (2019-20). Modern dietary pattern adherence was assessed using factor analysis of primary caregiver-reported food frequency questionnaire data. Physical activity was estimated with the Netherlands Physical Activity Questionnaire. Socioeconomic resources were assessed using an 18-item household asset score. Urbanicity was based on village residence. Associations of these risk factors with predicted weight, height, and BMI (at 1-year intervals and velocity) were assessed using multilevel cubic spline regressions.

RESULTS

Females had greater adjusted weight velocity with high modern dietary pattern adherence compared to low (p-value for interaction with age spline term 1 = 0.028 and age spline term 2 = 0.007). Starting at age 3 years, children with higher physical activity had higher BMI, but this association was not meaningful up to age 9 (all p-value > 0.05). Males with very high compared to low household assets had higher BMI from age 2 to 4 years (95% CI: 0.26-1.53 kg/m2, p = 0.006) and greater BMI velocity (p-value for interaction with age spline term 2 = 0.001). Males in the urban region had the greatest BMI gain after age 5 compared to the rural region (p-value for interaction with age spline term 2 = 0.014).

CONCLUSIONS

High, centile-crossing BMI trajectories suggest that obesity prevention and intervention are needed among Samoan children before age 9 years. Positive associations between high modern dietary pattern adherence, greater asset ownership, and urbanization offer initial insights into who, and which behavioral risk factors, should be prioritized in implementing public health solutions.

The relationship between mental well-being and wealth varies by wealth type, place and sex/gender: Evidence from Namibia

This paper explores the impact of livelihood strategies and place on mental well-being. Identifying different socioeconomic factors that impact mental well-being across contexts is pressing given the global rise in mental health disorders. Numerous studies in the population and social sciences have emphasized the protective role of material wealth on human health and well-being; however, scholars frequently assess wealth as a one-dimensional variable, which may fail to capture diverse forms of wealth. Acknowledging different forms of wealth may be particularly important in settings where agricultural economies coexist with cash economies. Using data from the 2013 Namibia Demographic Health Survey (n = 13 377), we use a newly developed measure of success in agricultural activities, an agricultural wealth index, or AWI, generated by Hackman et al., (2021). To examine the role of different forms of wealth on mental health symptoms. We find mental well-being, assessed through three survey questions, is lower among urban dwellers and females and shows varied associations with wealth type and sex/gender. In general, success in agricultural activities is associated with better mental well-being, while the association with market success is null or and conditional upon sex/gender and place. This study adds to recent work on the value of using multidimensional measures of wealth and raises important questions about why wealth type and sex/gender differentially impact mental well-being.

Subjective social status and mental health among adolescents in Ethiopia: Evidence from a panel study

Numerous studies have found that a relationship between subjective status and measures of human health persists even after controlling for objective measures, including income, education, and assets. However, few studies have probed how status shapes health among adolescents, particularly those in low-and-middle-income settings. This study examines the relative effects of subjective and objective status on mental health among Ethiopian adolescents. Using data from two waves of the Jimma Longitudinal Family Survey of Youth (N = 1,045), this study uses a combination of linear regression and linear mixed-effects models to examine the relationships between objective social status, subjective social status, and mental well-being among adolescents in Ethiopia. Three measures of objective status, including household income, adolescent education, and a multidimensional measure of material wealth, were assessed. Social network and support variables were constructed using factor analysis. A community version of the 10-rung McArthur ladder was used to assess the subjective socioeconomic status of adolescents. The self-reporting questionnaire was used to assess mental well-being during both waves of the study. The significant effect of higher subjective status on reports of fewer non-specific psychological distress (-0.28; 95% CI: -0.43 to -0.14) was not mediated by objective status, material deprivation, or social support covariates. The observed relationship between status and mental well-being was consistent across successive study waves. Among a cohort of adolescents in Jimma, Ethiopia, several measures of objective status are associated with subjective status. However, akin to research among adults, the findings of our study suggest that the relationship between adolescent subjective social status and mental health persists above and beyond the effects of objective status. Future research is needed on the factors, environments, and experiences that inform adolescent perceptions of status and well-being over time.

Rural infrastructure and poverty in China

The study develops a theoretical framework of how irrigation and drainage infrastructure and rural transportation infrastructure influence poverty. Using panel data on 31 provinces in China from 2002 to 2017, this paper estimates basic and continuous difference-in-differences (DID) models to investigate the preliminary impact of irrigation and drainage infrastructure and rural transportation infrastructure on poverty and further explores the influence mechanisms of these rural infrastructures on poverty by using the mediating effect model. The results show that irrigation and drainage facilities infrastructure can directly reduce poverty. On the one hand, rural transportation infrastructure directly leads to rural hollowing out and aggravates rural poverty; on the other hand, it indirectly promotes poverty reduction by stimulating economic growth. Overall, the positive and negative effects of rural transportation infrastructure on poverty offset each other.

Assessing comparative asset-based measures of material wealth as predictors of physical growth and mortality

Social scientists and policymakers have increasingly relied on asset-based indices of household wealth to assess social disparities and to identify economically vulnerable populations in low- and middle-income countries. In the last decade, researchers have proposed a number of asset-based measures that permit global comparisons of household wealth across populations in different countries and over time. Each of these measures relies on different assumptions and indicators, and little is known about the relative performance of these measures in assessing disparities. In this study, we assess four comparative, asset-based measures of wealth-the Absolute Wealth Estimate (AWE), the International Wealth Index (IWI), the Comparative Wealth Index (CWI), and the "Standard of Living" portion of the Multi-Dimensional Poverty Index (MPI), along with a variable measuring television ownership-and compare how well each predicts health related variables such as women's BMI, children's height-for-age Z scores, and infant mortality at the household and survey level. Analyzing data from over 300 Demographic and Health surveys in 84 countries (n = 2,304,928 households), we found that AWE, IWI, CWI, MPI are all highly correlated (r = 0.7 to 0.9). However, IWI which is based on a common set of universally weighted indicators, typically best accounts for variation in all three health measures. We discuss the implications of these findings for choosing and interpreting these measures of wealth for different purposes.

Wealth index and other behavioral and sociodemographic characteristics associated with body mass index in Ethiopia

BACKGROUND

Nowadays, the burden of non-communicable diseases including obesity has been an increasing public health concern. This menace can be monitored using indexing method like body mass index. Studies indicate that socioeconomic indicators such as income, biology, behavior, and demographic factors associated with body mass index. In Ethiopia, few studies associate wealth index with body mass index in people of ages between 15 and 49. This study was aimed to assess the association of body mass index with wealth index, and behavioral and sociodemographic population characteristics.

METHODS

A cross-sectional population-based study was conducted using the 2016 Ethiopian Demographic and Health Survey population of ages 15-49. A total of 10,245 individuals were considered to detect the effect of socioeconomic, biological, behavioral, and demographic factors on body mass index using logistic regression.

RESULTS

The prevalence of underweight, overweight, and obesity among men are 23.8%, 6.6%, and 2.0%, respectively, which is lower than that of women (underweight 25.3%, overweight 9.1%, and obesity 2.9%). The poorest men had higher odds of being underweight (adjusted odds ratio = 2.395%; 95% confidence interval = 2.020-3.544) as compared to the richest men. Merchants and government employees have lower odds (adjusted odds ratio = 0.744; 95% confidence interval = 0.588-0.899) compared to men whose occupation is farming and labor, indicating that merchants and government employees are more likely to become overweight and obese compared to men who are farmers and laborers.

CONCLUSION

It is concluded that wealth index is an important socioeconomic determinant of body mass index among men and women of age 15-49 in Ethiopia. A high prevalence of underweight, and overweight, and obesity is observed, which increases instances of non-communicable diseases. Effects of socioeconomic, biological, behavioral, and demographic indicators on body mass index differed according to sex.

Population Estimates of GFR and Risk Factors for CKD in Guatemala

INTRODUCTION

Chronic kidney disease (CKD) is an emerging public health priority in Central America. However, data on the prevalence of CKD in Guatemala, Central America's most populous country, are limited, especially for rural communities.

METHODS

We conducted a population-representative survey of 2 rural agricultural municipalities in Guatemala. We collected anthropometric data, blood pressure, serum and urine creatinine, glycosylated hemoglobin, and urine albumin. Sociodemographic, health, and exposure data were self-reported.

RESULTS

We enrolled 807 individuals (63% of all eligible, 35% male, mean age 39.5 years). An estimated 4.0% (95% confidence interval [CI] 2.4-6.6) had CKD, defined as an estimated glomerular filtration rate (eGFR) less than 60 ml/min per 1.73 m2. Most individuals with an eGFR below 60 ml/min per 1.73 m2 had diabetes or hypertension. In multivariable analysis, the important factors associated with risk for an eGFR less than 60 ml/min per 1.73 m2 included a history of diabetes or hypertension (adjusted odds ratio [aOR] 11.21; 95% CI 3.28-38.24), underweight (body mass index [BMI] <18.5) (aOR 21.09; 95% CI 2.05-217.0), and an interaction between sugar cane agriculture and poverty (aOR 1.10; 95% CI 1.01-1.19).

CONCLUSIONS

In this population-based survey, most observed CKD was associated with diabetes and hypertension. These results emphasize the urgent public health need to address the emerging epidemic of diabetes, hypertension, and CKD in rural Guatemala. In addition, the association between CKD and sugar cane in individuals living in poverty provides some circumstantial evidence for existence of CKD of unknown etiology in the study communities, which requires further investigation.

Socioeconomic status effects on health vary between rural and urban Turkana

Background and objectives

Understanding the social determinants of health is a major goal in evolutionary biology and human health research. Low socioeconomic status (often operationalized as absolute material wealth) is consistently associated with chronic stress, poor health and premature death in high-income countries. However, the degree to which wealth gradients in health are universal—or are instead made even steeper under contemporary, post-industrial conditions—remains poorly understood.

Methodology

We quantified absolute material wealth and several health outcomes among a population of traditional pastoralists, the Turkana of northwest Kenya, who are currently transitioning toward a more urban, market-integrated lifestyle. We assessed whether wealth associations with health differed in subsistence-level versus urban contexts. We also explored the causes and consequences of wealth-health associations by measuring serum cortisol, potential sociobehavioral mediators in early life and adulthood, and adult reproductive success (number of surviving offspring).

Results

Higher socioeconomic status and greater material wealth predicts better self-reported health and more offspring in traditional pastoralist Turkana, but worse cardiometabolic health and fewer offspring in urban Turkana. We do not find robust evidence for either direct biological mediators (cortisol) or indirect sociobehavioral mediators (e.g. adult diet or health behaviors, early life experiences) of wealth–health relationships in either context.

Conclusions and implications

While social gradients in health are well-established in humans and animals across a variety of socioecological contexts, we show that the relationship between wealth and health can vary within a single population. Our findings emphasize that changes in economic and societal circumstances may directly alter how, why and under what conditions socioeconomic status predicts health.

Lay Summary

High socioeconomic status predicts better health and more offspring in traditional Turkana pastoralists, but worse health and fewer offspring in individuals of the same group living in urban areas. Together, our study shows that under different economic and societal circumstances, wealth effects on health may manifest in very different ways.

Malnutrition, illness, poverty, and infant growth: A test of a syndemic hypothesis in Nuñoa, Peru

The concept of syndemics provides an important framework for understanding the complex interactions of biological and social conditions. Its use in public health and epidemiological research has increased substantially in the past ten years. Many syndemic analyses rely on the use of a sum score and subsequently fail to demonstrate biological interaction, leading some scholars to question the utility of the syndemic approach. Here, we utilize data from 86 mother/infant pairs from the rural district of Nuñoa, Peru to test a potential syndemic relationship among infection, malnutrition and infant growth. Between 2014 and 2015, surveys were conducted to assess household wealth, sanitation, dietary diversity, and reported illness, while anthropometric measures of mothers and infants were conducted to assess nutritional status via height-for-age and weight-for-height z-scores. Ethnographic insight was used in the selection of key economic variables including the development of an agricultural wealth index. We then assessed whether this constellation of health outcomes met the criteria for a syndemic by performing a quantitative analysis in which we tested for (1) an association between economic marginalization and high-risk environments; (2) the concentration of malnutrition, poor growth, and infection; and (3) biological interaction among these health outcomes. We found that economic measures were associated with pathogenic and nutritional risk, and that these in turn were associated with infectious disease, nutritional status, and growth. However, we did not find evidence that the proposed syndemic met criteria (2) or (3). We conclude that, despite being both socially and biologically plausible, a syndemic of malnutrition, poor growth, and infection did not exist in this context. This analysis moves syndemic research forward by demonstrating that such hypotheses are falsifiable, thus presenting a process by which they may be tested and lending support to the use of syndemic theory as an effective analytic framework.

Disentangling wealth effects on fertility in 64 low- and middle-income countries

Studies have shown mixed associations between wealth and fertility, a finding that has posed ongoing puzzles for evolutionary theories of human reproduction. However, measures of wealth do not simply capture economic capacity, which is expected to increase fertility. They can also serve as a proxy for market opportunities available to a household, which may reduce fertility. The multifaceted meaning of many wealth measures obscures our ability to draw inferences about the relationship between wealth and fertility. Here, we disentangle economic capacity and market opportunities using wealth measures that do not carry the same market-oriented biases as commonly used asset-based measures. Using measures of agricultural and market-based wealth for 562,324 women across 111,724 sampling clusters from 151 DHS surveys in 64 countries, we employ a latent variable structural equation model to estimate (a) latent variables capturing economic capacity and market opportunity and (b) their effects on completed fertility. Market opportunities had a consistent negative effect on fertility, while economic capacity had a weaker but generally positive effect on fertility. The results show that the confusion between operational measures of wealth and the concepts of economic capacity can impede our understanding of how material resources and market contexts shape reproduction.

Syndemics theory must take local context seriously: An example of measures for poverty, mental health, and food insecurity

Syndemics theory has provided insight into the ways that disease states and social adversity interact in marginalized populations to further disempower these groups. Yet, until recently, scholars have not identified how we might actually recognize and measure a syndemic, as opposed to a situation where there are multiple but non-interacting diseases present in a population. As researchers like those included in this special issue develop new methods for assessing syndemic interactions in diverse global populations, this short communication argues for the value of locally relevant measures. Poverty, mental health, food insecurity, and type 2 diabetes are used to illustrate the assessment of a potential syndemic from a locally grounded perspective. The discussion emphasizes the insights locally adapted measures can add and what information would be lost without their use.

Associations between socioeconomic resources and adiposity traits in adults: Evidence from Samoa

In low- and middle-income countries, earlier in economic development, obesity tends to be more prevalent in high socioeconomic resource groups compared to low. Later in development, the distribution of obesity tends to show the opposite pattern, becoming more prevalent in those with low socioeconomic resources. This shift in obesity prevalence tends to occur between a gross national income per capita (GNI) of US$1,000 to $4,000 dollars. Whether a similar pattern occurs in Pacific Island countries has not been well documented. In Samoa, the GNI rose to US$3,200 dollars in 2010 at which time over 80% of adults were overweight or obese. We aimed to understand the association of socioeconomic resources, assessed by household assets, with adult body mass index (BMI) and abdominal circumference (AC) in Samoa. Data were from a genome-wide association study for obesity among 3,370 Samoans aged 24.5-<65 years in 2010. Household asset scores were calculated based on ownership of consumer durables, housing construction, and access to basic services. Sex-stratified multivariate linear regressions were used to assess adiposity trait differences by household asset ownership, after controlling for age, education, and household urbanicity. Higher asset ownership was associated with higher BMI and AC and the positive relationship remained robust after controlling for potential confounders. Despite significant economic growth preceding the year 2010 in Samoa, the obesity burden had not shifted to low socioeconomic groups in a similar way that has been observed in countries further along in the economic transition. The mechanism by which socioeconomic resources influence adiposity is complex and may be particularly complicated in Samoa by migrant remittances received both as cash and household assets. Social and physical environments may constrain the positive health behavior change necessary to reduce obesity even in the context of high socioeconomic position, a situation that requires further investigation.

Agricultural wealth better predicts mental wellbeing than market wealth among highly vulnerable households in Haiti: Evidence for the benefits of a multidimensional approach to poverty

OBJECTIVES

Lack of wealth (poverty) impacts almost every aspect of human biology. Accordingly, many studies include its assessment. In almost all cases, approaches to assessing poverty are based on lack of success within cash economies (eg, lack of income, employment). However, this operationalization deflects attention from alternative forms of poverty that may have the most substantial influence on human wellbeing. We test how a multidimensional measure of poverty that considers agricultural assets expands the explanatory power of the construct of household poverty by associating it with one key aspect of wellbeing: symptoms of mental health.

METHODS

We used the case of three highly vulnerable but distinctive communities in Haiti-urban, town with a rural hinterland, and rural. Based on survey responses from adults in 4055 geographically sampled households, linear regression models were used to predict depression and anxiety symptom levels controlling for a wide range of covariates related to detailed measures of material poverty, including cash-economy and agricultural assets, income, financial stress, and food insecurity.

RESULTS

Household assets related to the cash economy were significantly associated with lower (ie, better) depression scores (-0.7, [95% CI: -1.2 to, -0.1]) but unrelated to anxiety scores (-0.3 [95% CI: -0.8 to 0.3]). Agricultural wealth was significantly-and more strongly-associated with both reductions in depression symptoms (-1.4 [95% CI: -2.2 to -0.7]) and anxiety symptoms (-1.8 [95% CI: -2.6 to -1.0]). These associations were consistent across the three sites, except in the fully urban site in Port-au-Prince where level of depression symptoms was not significantly associated with household agricultural wealth.

CONCLUSIONS

Standard measures of poverty based on success in the cash economy can mask important associations between poverty and wellbeing, in this case related to household-level subsistence capacity and crucial food-producing household assets.

Machine-learned patterns suggest that diversification drives economic development

We combine a sequence of machine-learning techniques, together called Principal Smooth-Dynamics Analysis (PriSDA), to identify patterns in the dynamics of complex systems. Here, we deploy this method on the task of automating the development of new theory of economic growth. Traditionally, economic growth is modelled with a few aggregate quantities derived from simplified theoretical models. PriSDA, by contrast, identifies important quantities. Applied to 55 years of data on countries' exports, PriSDA finds that what most distinguishes countries' export baskets is their diversity, with extra weight assigned to more sophisticated products. The weights are consistent with previous measures of product complexity. The second dimension of variation is proficiency in machinery relative to agriculture. PriSDA then infers the dynamics of these two quantities and of per capita income. The inferred model predicts that diversification drives growth in income, that diversified middle-income countries will grow the fastest, and that countries will converge onto intermediate levels of income and specialization. PriSDA is generalizable and may illuminate dynamics of elusive quantities such as diversity and complexity in other natural and social systems.

Household water insecurity may influence common mental disorders directly and indirectly through multiple pathways: Evidence from Haiti

Living in poverty significantly elevates risk of common mental disorders, but the underlying mechanisms are poorly specified. The stress of coping with household food insecurity is posed as one fundamental driver. While much less tested, the stress of failing to meet household water needs may also matter. We test (a) a hypothesized direct influence of household water insecurity (as household access to water sources and quality/quantity of water available in the household) on anxiety and depression symptoms. We also test (b) if there are indirect (mediated) effects of these aspects of water insecurity on common mental disorder symptom levels via household food insecurity, and (c) via their association with sanitation insecurity (lack of toilet). Data were collected in Haiti in June-July 2016 from 4,055 geographically-sampled households representing three distinct low-resource communities, purposefully differentiated as urban, town, and rural. We confirm that household water insecurity exerts a direct, strong independent effect on anxiety and depression levels, even once food insecurity and household assets are taken into account. Additionally, household water insecurity appears to have an indirect effect on anxiety and depression levels through its influence on household food insecurity. In the rural community sample, there is also support for the proposition of additional influence of household water on anxiety through its association with lack of sanitation. This Haitian case supports theories posing a central, influential role for household water insecurity as a potential driver of common mental illness in low-resource households via direct and indirect (food insecurity, sanitation) pathways.

Secondary data analysis to answer questions in human biology

Despite a growing number of publicly available datasets, the use of these datasets for secondary analyses in human biology is less common compared with other fields. Secondary analysis of existing data offers an opportunity for human biologists to ask unique questions through an evolutionary and biocultural lens, allowing for an analysis of cultural and structural nuances that affect health. Leveraging publicly available datasets for human biology research is a way for students and established researchers to complement their data collection, use existing data for master's and doctoral theses, pilot test questions, and use existing data to answer interesting new questions or explore questions at the population level. Here we describe where publicly available data are stored, highlighting some data repositories and how to access them. We then discuss how to decide which dataset is right, depending on the research question. Next, we describe steps to construct datasets, analytical considerations and methodological challenges, best practices, and limitations depending on the structure of the study. We close by highlighting a number of publicly available datasets that have been used by human biologists and other datasets that may be of interest to the community, including research that has been conducted on some example datasets.

Associations between contraception and stunting in Guatemala: secondary analysis of the 2014-2015 Demographic and Health Survey

BACKGROUND

There has been limited research on the relationship between contraception and child growth in low-income and middle-income countries (LMICs). This study examines the association between contraception and child linear growth in Guatemala, an LMIC with a very high prevalence of child stunting. We hypothesise that contraceptive use is associated with better child linear growth and less stunting in Guatemala.

METHODS

Using representative national data on 12 440 children 0-59 months of age from the 2014-2015 Demographic and Health Survey in Guatemala, we constructed multivariable linear and Poisson regression models to assess whether child linear growth and stunting were associated with contraception variables. All models were adjusted for a comprehensive set of prespecified confounding variables.

RESULTS

Contraceptive use was generally associated with modest, statistically significant greater height-for-age z-score. Current use of a modern method for at least 15 months was associated with a prevalence ratio of stunting of 0.87 (95% CI 0.81 to 0.94; p<0.001), and prior use of a modern method was associated with a prevalence ratio of stunting of 0.93 (95% CI 0.87 to 0.98; p<0.05). The severe stunting models found generally similar associations with modern contraceptive use as the stunting models. There was no significant association between use of a modern method for less than 15 months and the prevalence ratio of stunting or severe stunting.

CONCLUSIONS

Contraceptive use was associated with better child linear growth and less child stunting in Guatemala. In addition to the human rights imperative to expand contraceptive access and choice, family planning merits further study as a strategy to improve child growth in Guatemala and other countries with high prevalence of stunting.