PROJECT 2: The Meaning of Health in Social Surveys Little is known about the health of adults in low income settings. Household surveys are more representative than clinical studies (which typically involve small, selected samples), but survey methods for measuring health in developing countries are not well-developed. Moreover, it is not clear how the indicators most often collected should be interpreted. To fill this gap, we compare a battery of indicators that we are collecting in a panel survey of Indonesia. First, we examine the relationships among a rich array of health indicators, paying special attention to differences between objectively measured health indicators (for which measurement error is random) and self-reported indicators (which embody the respondent's perceptions and information about health status). Next, the relationships between socioeconomic status and health are described. Characteristics such as education and income are likely to have a direct impact on health. But, they may also be associated with access to information about health and thus affect self-reports but not objectively measured indicators. The implications for interpreting the relationships are drawn out. Third, we exploit the unique opportunities presented by three quasi-experiments. Between the first two survey rounds, a pilot project increased the price of public health services in some areas but not others. This (exogenous) price heterogeneity is exploited to examine its impact on health outcomes. Second, Indonesia currently faces its worst financial crisis in three decades. By conducting a small resurvey of households in 1998, we will assess the impact of this major economic shock on health and well-being of the poor and of the better off. Third, some of our respondents were exposed to very high levels of smoke from biomass burning in late 1997. The 1998 resurvey provides an unparalleled opportunity to understand the impact of poor air quality on health status. In addition, the results of these analyses will shed light on the meaning and interpretation of the health indicators.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Program Projects (P01)
Project #
2P01AG008291-09
Application #
6098176
Study Section
Project Start
1998-09-30
Project End
1999-08-31
Budget Start
1997-10-01
Budget End
1998-09-30
Support Year
9
Fiscal Year
1998
Total Cost
Indirect Cost
Name
Rand Corporation
Department
Type
DUNS #
City
Santa Monica
State
CA
Country
United States
Zip Code
90401
Heger, Dörte; Korfhage, Thorben (2018) Care choices in Europe: To Each According to His or Her Needs? Inquiry 55:46958018780848
Solé-Auró, Aïda; Jasilionis, Domantas; Li, Peng et al. (2018) Do women in Europe live longer and happier lives than men? Eur J Public Health 28:847-852
Lourenco, Joana; Serrano, Antonio; Santos-Silva, Alice et al. (2018) Cardiovascular Risk Factors Are Correlated with Low Cognitive Function among Older Adults Across Europe Based on The SHARE Database. Aging Dis 9:90-101
Cimas, M; Ayala, A; Sanz, B et al. (2018) Chronic musculoskeletal pain in European older adults: Cross-national and gender differences. Eur J Pain 22:333-345
Schwartz, Ella; Khalaila, Rabia; Litwin, Howard (2018) Contact frequency and cognitive health among older adults in Israel. Aging Ment Health :1-9
Sand, Gregor; Gruber, Stefan (2018) Differences in Subjective Well-being Between Older Migrants and Natives in Europe. J Immigr Minor Health 20:83-90
Reus-Pons, Matias; Mulder, Clara H; Kibele, Eva U B et al. (2018) Differences in the health transition patterns of migrants and non-migrants aged 50 and older in southern and western Europe (2004-2015). BMC Med 16:57
Henseke, Golo (2018) Good jobs, good pay, better health? The effects of job quality on health among older European workers. Eur J Health Econ 19:59-73
Foverskov, Else; Glymour, M Maria; Mortensen, Erik L et al. (2018) Education and Cognitive Aging: Accounting for Selection and Confounding in Linkage of Data From the Danish Registry and Survey of Health, Ageing and Retirement in Europe. Am J Epidemiol 187:2423-2430
Abeliansky, Ana Lucia; Strulik, Holger (2018) How We Fall Apart: Similarities of Human Aging in 10 European Countries. Demography 55:341-359

Showing the most recent 10 out of 309 publications