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Curated

Longer Term Effects of a Natural Disaster on Health and Socio-economic Status (ICPSR 35958)

Released/updated on: 2015-06-08

Geographic coverage: Indonesia

This project collects multi-wave longitudinal survey data on almost 50,000 individuals in tsunami-affected areas of Sumatra and nearby areas affected by the December 25, 2004 tsunami in Indonesia. The data include baseline data in February 2004 prior to the earthquake and five follow-up surveys to measure the long-term consequences of the disaster, the evolution of rehabilitation and recovery, and identify those who are most vulnerable to longer-term negative consequences of natural disasters.

Curated

Simple Crosstabs

Survey of Midlife in Japan (MIDJA 2), May-October 2012 (ICPSR 36427)

Released/updated on: 2018-02-19

Geographic coverage: Tokyo, Japan, Global

Time period: 2012-05-01--2012-10-01

In 2008, with funding from the National Institute on Aging (NIA), baseline survey data for the Survey of Midlife in Japan (MIDJA), April-September 2008 were collected from a probability sample of Japanese adults (N=1,027) aged 30 to 79 from the Tokyo metropolitan area (ICPSR 30822). In 2009-2010 biomarker data was obtained from a subset of these cases (ICPSR 34969).

The survey and biomarker measures obtained parallel those in a national longitudinal sample of Americans known as Midlife in the United States or MIDUS (ICPSR 2760: MIDUS 1 and ICPSR 4652: MIDUS 2). The central objective was to compare the Japanese sample (MIDJA) with the United States sample (MIDUS) to test hypotheses about the role of psychosocial factors in the health (broadly defined) of mid- and later-life adults in Japan and the United States.

In 2012, with additional support from NIA, a longitudinal follow-up of the MIDJA sample was completed. The data collection for this second wave (N=657) largely repeated the baseline assessments. The goal of the follow-up wave was to conduct comparisons of longitudinal data available from the Japanese sample (MIDJA) and the United States sample (MIDUS) to test the hypothesis about the role of psychosocial factors in predicting health changes (including biomarkers) in both cultural contexts. Cultural influences on age differences in health and well-being were also of interest.

Demographic and background information included gender, age, education, marital status, household composition, and income.