Survey of Midlife in Japan (MIDJA 2): Biomarker Project, 2013-2014

Résumé 0

In 2008, with funding from the National Institute on Aging (NIA), baseline survey data were collected from a probability sample of Japanese adults (N=1,027) aged 30 to 79 from the Tokyo metropolitan area, resulting in the Survey of Midlife in Japan (MIDJA) [ICPSR 30822]. In 2009-2010, biomarker data was obtained from a subset (n=382) of these cases (MIDJA Biomarker) [ICPSR 34969]. The survey and biomarker measures obtained, parallel those in a national longitudinal sample of Americans known as Midlife in the United States (MIDUS) [ICPSR 4652: MIDUS 2 and ICPSR 2760: MIDUS 1]. 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 conducted resulting in a second wave (N=657) of survey data (MIDJA 2) [ICPSR 36427]. This collection reflects data from 2013-2014, when a second wave of biomarker data was obtained from a sub-sample (n=328) of those who completed the MIDJA 2 survey. Among this group, about 75 percent (n=243) also completed the first wave of biomarker assessments. Participants traveled to a clinic on the University of Tokyo campus where biomarker data (vital signs, morphometric assessments, blood assays, and medication data) were obtained. Participants also provided daily saliva samples for cortisol assessment and completed a self-administered medical history questionnaire, as well as a time preference questionnaire. The medical history questionnaire included assessments of conditions and symptoms, major health and life events, nutrition/diet, and additional psychosocial measures (anxiety, depression, relationship quality, control, etc.). The time preference questionnaire was used to collect respondents' opinions on management of money and assets given hypothetical scenarios. Demographic variables include age, gender, and marital status.