Changes in asset-based wealth across the life course in birth cohorts from five low- and middle-income countries

被引:10
作者
Varghese, Jithin Sam [1 ]
Adair, Linda S. [2 ]
Patel, Shivani A. [3 ]
Bechayda, Sonny Agustin [4 ,5 ]
Bhargava, Santosh K. [6 ]
Carba, Delia B. [4 ]
Horta, Bernardo L. [7 ]
Lima, Natalia P. [8 ]
Martorell, Reynaldo [1 ,3 ]
Menezes, Ana M. B. [7 ]
Norris, Shane A. [9 ]
Richter, Linda M. [10 ]
Ramirez-Zea, Manuel [11 ]
Sachdev, Harshpal Singh [12 ]
Wehrmeister, Fernando C. [7 ]
Stein, Aryeh D. [1 ,3 ]
机构
[1] Emory Univ, Laney Grad Sch, Nutr & Hlth Sci Program, Atlanta, GA 30322 USA
[2] Univ N Carolina, Gillings Sch Global Publ Hlth, Dept Nutr, Chapel Hill, NC 27515 USA
[3] Emory Univ, Rollins Sch Publ Hlth, Hubert Dept Global Hlth, Atlanta, GA 30322 USA
[4] Univ San Carlos, USC Off Populat Studies Fdn Inc, Cebu, Philippines
[5] Univ San Carlos, Dept Anthropol Sociol & Hist, Cebu, Philippines
[6] New Delhi Birth Cohort, New Delhi, India
[7] Univ Fed Pelotas, Postgrad Program Epidemiol, Pelotas, RS, Brazil
[8] Univ Catolica Pelotas, Postgrad Program Hlth & Behav, Pelotas, RS, Brazil
[9] Univ Witwatersrand, SAMRC Dev Pathways Hlth Res Unit, Johannesburg, South Africa
[10] Univ Witwatersrand, DSI NRF Ctr Excellence Human Dev, Johannesburg, South Africa
[11] Inst Nutr Cent Amer & Panama INCAP, INCAP Res Ctr Prevent Chron Dis CIIPEC, Guatemala City, Guatemala
[12] Sitaram Bhartia Inst Sci & Res, New Delhi, India
基金
英国惠康基金; 英国医学研究理事会;
关键词
Wealth index; Life course epidemiology; Social mobility; SOCIOECONOMIC-STATUS; HEALTH; PROFILE; INDEXES; INEQUALITY; CHILDREN; POVERTY; HEIGHT; TRENDS; IMPACT;
D O I
10.1016/j.ssmph.2021.100976
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
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.
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页数:9
相关论文
共 48 条
[1]   Cohort Profile: The Cebu Longitudinal Health and Nutrition Survey [J].
Adair, Linda S. ;
Popkin, Barry M. ;
Akin, John S. ;
Guilkey, David K. ;
Gultiano, Socorro ;
Borja, Judith ;
Perez, Lorna ;
Kuzawa, Christopher W. ;
McDade, Thomas ;
Hindin, Michelle J. .
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 2011, 40 (03) :619-625
[2]   Using health and demographic surveillance system (HDSS) data to analyze geographical distribution of socio-economic status; an experience from KEMRI/CDC HDSS [J].
Amek, Nyaguara ;
Vounatsou, Penelope ;
Obonyo, Benson ;
Hamel, Mary ;
Odhiambo, Frank ;
Slutsker, Laurence ;
Laserson, Kayla .
ACTA TROPICA, 2015, 144 :24-30
[3]   Comparison of two approaches for measuring household wealth via an asset-based index in rural and peri-urban settings of Hunan province, China [J].
Balen J. ;
McManus D.P. ;
Li Y.-S. ;
Zhao Z.-Y. ;
Yuan L.-P. ;
Utzinger J. ;
Williams G.M. ;
Li Y. ;
Ren M.-Y. ;
Liu Z.-C. ;
Zhou J. ;
Raso G. .
Emerging Themes in Epidemiology, 7 (1)
[4]   Wealth, wealth indices and HIV risk in East Africa [J].
Bingenheimer, Jeffrey B. .
INTERNATIONAL FAMILY PLANNING PERSPECTIVES, 2007, 33 (02) :83-84
[5]   Using an asset index to assess trends in poverty in seven Sub-Saharan African countries [J].
Booysen, Frikkie ;
van der Berg, Servaas ;
Burger, Ronelle ;
von Maltitz, Michael ;
du Rand, Gideon .
WORLD DEVELOPMENT, 2008, 36 (06) :1113-1130
[6]   Measuring wealth in rural communities: Lessons from the Sanitation, Hygiene, Infant Nutrition Efficacy (SHINE) trial [J].
Chasekwa, Bernard ;
Maluccio, John A. ;
Ntozini, Robert ;
Moulton, Lawrence H. ;
Wu, Fan ;
Smith, Laura E. ;
Matare, Cynthia R. ;
Stoltzfus, Rebecca J. ;
Mbuya, Mduduzi N. N. ;
Tielsch, James M. ;
Martin, Stephanie L. ;
Jones, Andrew D. ;
Humphrey, Jean H. ;
Fielding, Katherine .
PLOS ONE, 2018, 13 (06)
[7]   Estimating inequalities in ownership of insecticide treated nets: does the choice of socio-economic status measure matter [J].
Chuma, Jane ;
Molyneux, Catherine .
HEALTH POLICY AND PLANNING, 2009, 24 (02) :83-93
[8]  
datacatalog, World Development Indicators
[9]   The global impact of income inequality on health by age: an observational study [J].
Dorling, Danny ;
Mitchell, Richard ;
Pearce, Jamie .
BMJ-BRITISH MEDICAL JOURNAL, 2007, 335 (7625) :873-875
[10]  
Ezzati M, 2017, LANCET, V390, P2627, DOI [10.1016/S0140-6736(17)32129-3, 10.1016/s0140-6736(17)32129-3]