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
Abstract: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 t… Show more
“…In addition to disparities in growth and nutrition, the AWI index may be useful in understanding other important demographic and health differences (Hadley, Maxfield, and Hruschka 2019; Lachaud et al. 2019). For example, the AWI may provide insights into the patterns of fertility change in many low‐ and middle‐income countries.…”
Section: Discussionmentioning
confidence: 99%
“…Wealth indices that prioritize assets accrued through cash-based transactions can mask important sources of economic capacity and neglect crucial distinctions between individuals and households engaged in livelihoods outside of the cash economy. For example, a recent study of mental health in Haiti showed that a wealth index capturing agricultural success showed stronger associations with reduced anxiety and depressive symptoms than did a wealth index that captured success in the cash economy (Lachaud et al 2019).…”
Section: Introductionmentioning
confidence: 99%
“…In contrast to the unidimensional models of wealth that underlie the most commonly used asset-based indices, a multidimensional model of wealth assumes households have multiple pathways for accumulating economic resources (Ayenew et al 2007;Guyer 1997;Lachaud et al 2019;Little et al 2008;Manger 2000). Assuming multiple pathways for accessing resources opens new ways to approach the asset data used in constructing indices.…”
Section: Introductionmentioning
confidence: 99%
“…While such asset‐based wealth indices have grown in popularity, an emerging literature has raised concerns that many indices rely on assets that privilege only certain forms of economic activity (Garenne 2015; Howe, Hargreaves, and Huttly 2008; Hruschka, Hadley, and Hackman 2017; Kaiser, Hruschka, and Hadley 2017; Lachaud et al. 2019; Rutstein 2008). For example, the DHS wealth index frequently reflects possession of goods that are obtained primarily through cash‐based transactions (e.g., TV, refrigerator, phone) or public services that may not be available to households who are only marginally engaged in cash economies (Bingenheimer 2007; Ferguson 1992; Guyer 1997; Manger 2000).…”
Section: Introductionmentioning
confidence: 99%
“…For example, a recent study of mental health in Haiti showed that a wealth index capturing agricultural success showed stronger associations with reduced anxiety and depressive symptoms than did a wealth index that captured success in the cash economy (Lachaud et al. 2019).…”
Social scientists have increasingly used asset-based wealth scores, like the Demographic and Health Survey (DHS) wealth index, to assess economic disparities. However, current indices primarily capture wealth in globalized market economies, thus ignoring other forms of prosperity, such as success in agricultural activities. Using a simple extension to the standard estimation of the DHS wealth index, we describe procedures for estimating an agricultural wealth index (AWI) that complements marketbased wealth indices by capturing household success in agricultural activities. We apply this procedure to household data from 129 DHS surveys from over 40 countries with sufficient land and livestock data to estimate a reliable and consistent AWI. We assess the construct validity of the AWI using benchmarks of growth in both adults and children. This alternative measure of wealth provides new opportunities for understanding the causes and consequences of wealth inequality, and how success along different dimensions of wealth creates different social opportunities and constraints for health and well-being.
“…In addition to disparities in growth and nutrition, the AWI index may be useful in understanding other important demographic and health differences (Hadley, Maxfield, and Hruschka 2019; Lachaud et al. 2019). For example, the AWI may provide insights into the patterns of fertility change in many low‐ and middle‐income countries.…”
Section: Discussionmentioning
confidence: 99%
“…Wealth indices that prioritize assets accrued through cash-based transactions can mask important sources of economic capacity and neglect crucial distinctions between individuals and households engaged in livelihoods outside of the cash economy. For example, a recent study of mental health in Haiti showed that a wealth index capturing agricultural success showed stronger associations with reduced anxiety and depressive symptoms than did a wealth index that captured success in the cash economy (Lachaud et al 2019).…”
Section: Introductionmentioning
confidence: 99%
“…In contrast to the unidimensional models of wealth that underlie the most commonly used asset-based indices, a multidimensional model of wealth assumes households have multiple pathways for accumulating economic resources (Ayenew et al 2007;Guyer 1997;Lachaud et al 2019;Little et al 2008;Manger 2000). Assuming multiple pathways for accessing resources opens new ways to approach the asset data used in constructing indices.…”
Section: Introductionmentioning
confidence: 99%
“…While such asset‐based wealth indices have grown in popularity, an emerging literature has raised concerns that many indices rely on assets that privilege only certain forms of economic activity (Garenne 2015; Howe, Hargreaves, and Huttly 2008; Hruschka, Hadley, and Hackman 2017; Kaiser, Hruschka, and Hadley 2017; Lachaud et al. 2019; Rutstein 2008). For example, the DHS wealth index frequently reflects possession of goods that are obtained primarily through cash‐based transactions (e.g., TV, refrigerator, phone) or public services that may not be available to households who are only marginally engaged in cash economies (Bingenheimer 2007; Ferguson 1992; Guyer 1997; Manger 2000).…”
Section: Introductionmentioning
confidence: 99%
“…For example, a recent study of mental health in Haiti showed that a wealth index capturing agricultural success showed stronger associations with reduced anxiety and depressive symptoms than did a wealth index that captured success in the cash economy (Lachaud et al. 2019).…”
Social scientists have increasingly used asset-based wealth scores, like the Demographic and Health Survey (DHS) wealth index, to assess economic disparities. However, current indices primarily capture wealth in globalized market economies, thus ignoring other forms of prosperity, such as success in agricultural activities. Using a simple extension to the standard estimation of the DHS wealth index, we describe procedures for estimating an agricultural wealth index (AWI) that complements marketbased wealth indices by capturing household success in agricultural activities. We apply this procedure to household data from 129 DHS surveys from over 40 countries with sufficient land and livestock data to estimate a reliable and consistent AWI. We assess the construct validity of the AWI using benchmarks of growth in both adults and children. This alternative measure of wealth provides new opportunities for understanding the causes and consequences of wealth inequality, and how success along different dimensions of wealth creates different social opportunities and constraints for health and well-being.
ObjectivesChronic malnutrition remains a persistent global health issue. This mixed methods investigation in rural Peru examines the role of home food production (HFP) in reducing child malnutrition by testing the following hypotheses: (a) higher HFP will be associated with higher infant z‐scores than those with less HFP and (b) infants with higher HFP will exhibit improved longitudinal growth outcomes across 6 months.MethodsEthnographic methods include semi‐structured interviews and participant observation. A household survey and anthropometric data were collected twice, from 86 infants under of 24 months old. A HFP index (HFI) was generated based on reports of animals for meat consumption, eggs, milk, and agricultural products for home consumption. Kruskal‐Wallis tests were used to examine patterns of HFI and infant anthropometrics. Multivariate regressions were used to examine the relationships between HFP and infant height for age (HAZ), weight for age (WAZ), and triceps skinfold for age (TSAZ) in both rounds and 6‐month change between rounds (6MΔ).ResultsThere were no relationships between HFI and infant z‐scores in round one, however, HFI was significantly positively related to HAZ (B = 0.091,P < .039) in round two and with 6MΔin HAZ (B = 0.09,P < .047). HFI did not predict WAZ or TSAZ in either round.ConclusionsHFP represents an important influence of infant growth in Nuñoa, likely through nutritional improvement due to increased availability of animal‐sourced foods and through contribution to household economy and maternal empowerment.
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