Changes in asset-based wealth across the life course in birth cohorts from five low- and middle-income countries. (December 2021)

• Record Type: Journal Article
• Authors: Varghese, Jithin Sam; Adair, Linda S.; Patel, Shivani A.; Bechayda, Sonny Agustin; Bhargava, Santosh K.; Carba, Delia B.; Horta, Bernardo L.; Lima, Natalia P.; Martorell, Reynaldo; Menezes, Ana M.B.; Norris, Shane A.; Richter, Linda M.; Ramirez-Zea, Manuel; Sachdev, Harshpal Singh; Wehrmeister, Fernando C.; Stein, Aryeh D.
• Is Part Of: SSM - population health. Volume 16(2021)
• Publication Date: 2021-12
• Subjects: CLHNS Cebu Longitudinal Health and Nutrition Survey -- COHORTS Consortium On Health Orientated Research in Transitioning Societies -- EFA Exploratory Factor Analysis -- INCAP Institute of Nutrition for Central America and Panama -- LMIC Low- and middle-income countries -- MCA Multiple Correspondence Analysis -- NDBC New Delhi Birth Cohort -- PCA Principal Component Analysis -- SD standard deviation -- SEP Socio-economic position; Wealth index -- Life course epidemiology -- Social mobility; Social medicine -- Periodicals; Medical anthropology -- Periodicals; Public health -- Periodicals; Psychology -- Periodicals; Medicine -- Periodicals; 362.105
• DOI: 10.1016/j.ssmph.2021.100976
• Languages: English
• ISSNs: 2352-8273

Abstract

Abstract: Background: Temporally-harmonized asset-based measures of wealth can be used to study the association of life-course wealth exposures in the same scale with health outcomes in low- and middle-income countries (LMICs). The within-individual longitudinal stability of asset-based indices of wealth in LMICs is poorly understood. Methods: Using data from five birth cohorts from three continents, we developed temporally-harmonized asset indices over the life course through polychoric principal component analysis of a common set of assets collected consistently over time (18 years in Brazil to 50 years in Guatemala). For each cohort, we compared the harmonized index to cross-sectional indices created using more comprehensive asset measures using rank correlations. We evaluated the rank correlation of the harmonized index in early life and adulthood with maternal schooling and own attained schooling, respectively. Results: Temporally-harmonized asset indices developed from a consistently-collected set of assets (range: 10 in South Africa to 30 in Philippines) suggested that mean wealth improved over time for all birth cohorts. Cross-sectional indices created separately for each study wave were correlated with the harmonized index for all cohorts (Brazil: r = 0.78 to 0.96; Guatemala: r = 0.81 to 0.95; India: 0.75 to 0.93; Philippines: r = 0.92 to 0.99; South Africa: r = 0.84 to 0.96). Maternal schooling (r = 0.15 to 0.56) and attained schooling (r = 0.23 to 0.53) were positively correlated with the harmonized asset index in childhood and adulthood respectively. Conclusions: Temporally-harmonized asset indices displayed coherence with cross-sectional indices as well as construct validity with schooling. Highlights: Temporally-harmonized asset indices are useful to assess relative importance of wealth at different life stages with health on the same scale. Harmonized indices using a subset of assets were correlated with cross-sectional asset indices using all available assets in five LMIC birth cohorts. Harmonized indices displayed construct validity, as demonstrated by its correlation with schooling. Harmonized indices were robust to alternate specifications such as shorter lists of assets, study years, and factor extraction procedures.