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Hawaii Aging with HIV Cardiovascular Study, 2009-2014 (ICPSR 36389)

Released/updated on: 2016-03-10
Geographic coverage: United States, Hawaii
Time period: 2009-01-01--2014-09-01

This collection has not been processed by NACDA or ICPSR, and data are released in the format provided by the principal investigators. Please report any data errors or problems to user support, and we will work with you to resolve any data-related issues.

Hawaii Aging with HIV Cardiovascular Study (HAHCS) enrolled HIV-infected volunteer adults age 40 and over, recruited from the state of Hawaii. A natural history longitudinal study, HAHCS followed a cohort of 150 HIV positive subjects for five years. The study is based on observations that, while HIV-infected individuals now live longer because of the availability of highly active antiretroviral therapy, these individuals may be at increased risk of cardiovascular (CV) morbidity and mortality. Rates of well-accepted traditional CV risk factors such as diabetes/hyperglycemia, body morphology changes and smoking are high in the HIV population. Furthermore, there is growing concern that HIV per se may also contribute to CV risk.

HAHCS evaluated the cross-sectional and longitudinal impact of oxidative stress and inflammation on the development of subclinical atherosclerosis. Researchers assessed subclinical atherosclerosis functionally by brachial artery flow mediated vasodilatation (FMD) and structurally by intima-media thickness (IMT) as well as coronary artery calcium score obtained by dual source CT. Data include behavioral health indicators, medical history information, and medical test results. Demographic data include age, sex, and race.

Curated
Simple Crosstabs

Health and Aging in Africa: A Longitudinal Study of an INDEPTH Community in South Africa [HAALSI]: Agincourt, South Africa, 2015-2022 (ICPSR 36633)

Released/updated on: 2023-03-13
Geographic coverage: Africa, South Africa, Global
Time period: 2014-01-01--2015-01-01, 2018-01-01--2019-01-01, 2021-01-01--2022-01-01

The Health and Aging in Africa: A Longitudinal Study of an INDEPTH Community in South Africa (HAALSI) study is a population-based survey that aims to examine and characterize a population of older men and women in rural South Africa with respect to health, physical and cognitive function, aging, and well-being, in harmonization with other Health and Retirement Studies.

The baseline survey was conducted among 5,059 men and women aged 40 years or older, who were sampled from within the existing framework of the Agincourt health and socio-demographic surveillance system (AHDSS), in rural Mpumalanga province, South Africa. Survey data were collected on cognitive and physical functioning, social networks, cardiometabolic disease and risk factors, HIV and HIV risk, and economic well-being. The survey also included anthropometric measures and point-of-care blood tests for hemoglobin, glucose and lipids. Dried bloodspots (DBS) were collected at the survey and later tested for HIV, HIV viral load, glucose and CRP. A sub-sample had more extensive laboratory follow-up testing, which will be available in future data releases. A second wave of the survey was administered in 2018 through 2019, and a third wave of the survey was administered in 2021 through 2022.

Demographic information includes age, sex, income, education, marital status, number of children, and employment.

Harvard dataverse hosts an additional restricted-use dataset which compliments this collection, the HAALSI Baseline HIV Biomarker Data; users interested in obtaining these data must request access based on the terms outlined in the data use agreement.

Curated
Simple Crosstabs

Research on Early Life and Aging Trends and Effects (RELATE): A Cross-National Study (ICPSR 34241)

Released/updated on: 2015-05-07
Geographic coverage: Argentina, Puerto Rico, United States, Uruguay, China (Peoples Republic), England, Ghana, India, Russia, Costa Rica, Cuba, Netherlands, Bangladesh, Barbados, Taiwan, Brazil, South Africa, Mexico, Chile, Indonesia
Time period: 1996-01-01--2008-01-01

The Research on Early Life and Aging Trends and Effects (RELATE) study compiles cross-national data that contain information that can be used to examine the effects of early life conditions on older adult health conditions, including heart disease, diabetes, obesity, functionality, mortality, and self-reported health. The complete cross sectional/longitudinal dataset (n=147,278) was compiled from major studies of older adults or households across the world that in most instances are representative of the older adult population either nationally, in major urban centers, or in provinces. It includes over 180 variables with information on demographic and geographic variables along with information about early life conditions and life course events for older adults in low, middle and high income countries. Selected variables were harmonized to facilitate cross national comparisons.

In this first public release of the RELATE data, a subset of the data (n=88,273) is being released. The subset includes harmonized data of older adults from the following regions of the world: Africa (Ghana and South Africa), Asia (China, India), Latin America (Costa Rica, major cities in Latin America), and the United States (Puerto Rico, Wisconsin). This first release of the data collection is composed of 19 downloadable parts: Part 1 includes the harmonized cross-national RELATE dataset, which harmonizes data from parts 2 through 19. Specifically, parts 2 through 19 include data from Costa Rica (Part 2), Puerto Rico (Part 3), the United States (Wisconsin) (Part 4), Argentina (Part 5), Barbados (Part 6), Brazil (Part 7), Chile (Part 8), Cuba (Part 9), Mexico (Parts 10 and 15), Uruguay (Part 11), China (Parts 12, 18, and 19), Ghana (Part 13), India (Part 14), Russia (Part 16), and South Africa (Part 17).

The Health and Retirement Study (HRS) was also used in the compilation of the larger RELATE data set (HRS) (N=12,527), and these data are now available for public release on the HRS data products page. To access the HRS data that are part of the RELATE data set, please see the collection notes below.