Different forms of household wealth are associated with opposing risks for HIV infection in East Africa

Hadley, Craig; Maxfield, Amanda; Hruschka, Daniel J.

doi:10.1016/j.worlddev.2018.09.015

Cited by 14 publications

(16 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Broadly, this adds to the prior study by Hadley et al (2019), showing that multidimensional assessments of household assets differentially explain how deprivation can shape health and human biology. Their study focused on infectious disease risk, and here we show that the same general finding applies to risk of common mental disorder symptoms.…”

Section: Discussionmentioning

confidence: 58%

“…Peri-urban and even urban households owning even just a few animals or small plots of cultivatable land can produce small but valuable amounts of consumable or sellable food (Ayenew, Wurzinger, Tegegne, & Zollitsch, 2011). For these reasons, agricultural assets could provide a straightforward buffer against nutrition-related disease at the very least (Ali, Bowen, Deininger, & Duponchel, 2016;Dangour et al, 2012;Ferguson, 1992;Hadley et al, 2019;Hruschka et al, 2017;Lawson et al, 2014;Little, Mcpeak, Barrett, & Kristjanson, 2008;Popkin, 2014).…”

Section: Assessing Poverty As Predictive Of Mental Healthmentioning

confidence: 99%

“…In spite of the potential for agricultural assets to buffer health risks, few empirical studies have considered these alternative dimensions of wealth in assessing the relationship between poverty and wellbeing in low‐income countries (Hadley et al, ; Hruschka et al, ). Based on these multiple proposed mechanisms by which agricultural wealth might buffer vulnerabilities, we should also expect that greater household agricultural wealth could have a protective effect in relation to mental wellbeing (Weaver & Hadley, ).…”

Section: Introductionmentioning

confidence: 99%

“…Recently, a study by Hadley, Maxfield, and Hruschka (), clarified that a dimension of agricultural wealth independent from cash economy wealth can show very different associations with human biological outcomes compared to those based on the cash economy. They found in a study of households in several sub‐Saharan African countries that success in the cash economy was associated with increased risk of HIV infection, while success in agricultural activities often proved protective against that risk.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

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

Lachaud

Hruschka

Kaiser

et al. 2019

American J Hum Biol

View full text Add to dashboard Cite

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.

show abstract

Section: Discussionmentioning

confidence: 58%

Section: Assessing Poverty As Predictive Of Mental Healthmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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

Lachaud

Hruschka

Kaiser

et al. 2019

American J Hum Biol

View full text Add to dashboard Cite

show abstract

“…The World Health Organization, World Bank, national governments, NGOs, and development agencies rely on these data to develop and evaluate targeted programs improving equity in health, nutrition, education, and reproductive services (Carr 2004;Chakraborty et al 2016;Ergo et al 2016;Ravallion 2007;WHO 2014). Additionally, these indices provide crucial data to researchers for testing theories about fundamental causes of health inequalities around the world (Hadley, Maxfield, and Hruschka 2019;Hohmann and Garenee 2011;Houweling et al 2007;Victora et al 2018). Similar wealth indices have now been adopted for general use in a broad range of health monitoring surveys including UNICEF's Multiple Indicator Cluster Survey (MICS), the AIDS Indicator Surveys, and Malaria Indicator Surveys (Rutstein 2008;Rutstein and Johnson 2004).…”

Section: Introductionmentioning

confidence: 99%

An Agricultural Wealth Index for Multidimensional Wealth Assessments

Hackman¹,

Hruschka²,

Vizireanu³

2020

Population & Development Rev

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Secondary data analysis to answer questions in human biology

Rosinger

Ice

2019

American J Hum Biol

View full text Add to dashboard Cite

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.

show abstract

Different forms of household wealth are associated with opposing risks for HIV infection in East Africa

Cited by 14 publications

References 36 publications

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

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

An Agricultural Wealth Index for Multidimensional Wealth Assessments

Secondary data analysis to answer questions in human biology

Contact Info

Product

Resources

About