By 2050, 75% of Alzheimer?s disease and related dementias (ADRD) cases will occur in low- and middle-income regions, like rural South Africa, which are severely under-represented in ADRD research. There is a critical evidence gap on the role of socioeconomic status (SES) in ADRD etiology in low-income settings, and how SES can best be targeted by interventions to prevent and/or delay ADRD onset. Our long-term goal is to inform the design of gender-equitable SES interventions to prevent and/or delay ADRD onset in low-income settings. The objective of this proposal is to identify how SES affects ADRD risk, using longitudinal exposures (household assets, food security, and employment) and randomized and quasi-randomized cash transfer exposures accumulated over time in mid-to-later-life in rural South Africa. Our central hypothesis is that greater cumulative exposure to advantageous socioeconomic conditions will protect against ADRD, with differential effects for men and women for household-level SES resources that may not be equally allocated between genders. To test this central hypothesis, we will leverage a unique opportunity to create one of the first longitudinal data platforms to study ADRD risk in Africa: we will link high-quality memory and ADRD outcome data collected from 2015-21 in the population-representative ?Health and Aging in Africa: A Longitudinal Study of an INDEPTH Community in South Africa? (HAALSI; N=5059) to detailed SES exposure data collected since 2000 in the ?Agincourt Health and Sociodemographic Surveillance System? (AHDSS; a census with 100% population coverage) and the HPTN 068 randomized controlled trial of cash transfers to households from 2011-15 (N=863 households in both HPTN 068 and HAALSI). These three datasets can be linked because the AHDSS census is the sampling frame for HAALSI and HPTN 068; we have confirmed linkage feasibility in our preliminary data. Specifically, we aim to: 1) Determine the roles of mid-to-later life cumulative household assets, employment, and food security (2000-13; AHDSS) in memory decline and ADRD risk (2015-21; HAALSI); 2) Determine whether exposure to cash transfer interventions affect memory decline and ADRD by leveraging 2a) randomized cash transfers in HPTN 068; 2b) expansion of the South African Old Age Pension for men; 2c) expansion of the South African Child Support Grant for mothers; and 3) Determine how gender modifies the effects of household-level SES exposures in Aims 1 & 2a. This proposal is innovative because the study population of older, rural Black South African adults improves representation of understudied groups in ADRD research; our longitudinal assessments of SES exposures over 14 years improve upon the status quo of SES measured retrospectively or at single points in time; and our linkage of the HAALSI cohort to a randomized controlled cash transfer trial and data on national social protection policies allows causal inference about income and ADRD risk. This proposal is a major opportunity for life course research in a rapidly aging, low-income population that can provide insights into ADRD etiology and strategies to prevent and/or delay ADRD onset in global low-income settings, where there is little data outside this study.

Public Health Relevance

There is a critical evidence gap on the role of socioeconomic conditions in ADRD etiology in low-income settings. We will determine how cumulative, randomized, and quasi-randomized socioeconomic exposures in mid-to-later- life affect memory decline and ADRD risk in later-life, by linking three unique population data sources in South Africa that cover a 22-year period from 2000 to 2021. These contributions will provide robust evidence on ADRD etiology and will serve as sentinel findings for prevention strategies not only in sub-Saharan Africa, where there is currently little data outside of this study, but also for guiding interventions in ADRD prevention programs globally.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Project (R01)
Project #
1R01AG069128-01
Application #
10055292
Study Section
Social Sciences and Population Studies A Study Section (SSPA)
Program Officer
Bandiera, Frank
Project Start
2020-09-15
Project End
2024-05-31
Budget Start
2020-09-15
Budget End
2021-05-31
Support Year
1
Fiscal Year
2020
Total Cost
Indirect Cost
Name
Indiana University Bloomington
Department
Biostatistics & Other Math Sci
Type
Schools of Public Health
DUNS #
006046700
City
Bloomington
State
IN
Country
United States
Zip Code
47401