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Cohort Profile: The Social Environment and Biomarkers of Aging Study (SEBAS) in Taiwan

Overview
Journal Int J Epidemiol
Specialty Public Health
Date 2014 Sep 11
PMID 25205853
Citations 27
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Abstract

The Social Environment and Biomarkers of Aging Study (SEBAS) is a nationally representative longitudinal survey of Taiwanese middle-aged and older adults. It adds the collection of biomarkers and performance assessments to the Taiwan Longitudinal Study of Aging (TLSA), a nationally representative study of adults aged 60 and over, including the institutionalized population. The TLSA began in 1989, with follow-ups approximately every 3 years; younger refresher cohorts were added in 1996 and 2003. The first wave of SEBAS, based on a sub-sample of respondents from the 1999 TLSA, was conducted in 2000. A total of 1023 respondents completed both a face-to-face home interview and, several weeks later, a hospital-based physical examination. In addition to a 12-h (7 pm-7 am) urine specimen collected the night before and a fasting blood specimen collected during the examination, trained staff measured blood pressure, height, weight and waist and hip circumferences. A second wave of SEBAS was conducted in 2006 using a similar protocol to SEBAS 2000, but with the addition of performance assessments conducted by the interviewers at the end of the home interview. Both waves of SEBAS also included measures of health status (physical, emotional, cognitive), health behaviours, social relationships and exposure to stressors. The SEBAS data, which are publicly available at [http://www.icpsr.umich.edu/icpsrweb/NACDA/studies/3792/version/5], allow researchers to explore the relationships among life challenges, the social environment and health and to examine the antecedents, correlates and consequences of change in biological measures and health.

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References
1.
Goldman N, Glei D, Rosero-Bixby L, Chiou S, Weinstein M . Performance-based measures of physical function as mortality predictors: Incremental value beyond self-reports. Demogr Res. 2015; 30(7):227-252. PMC: 4392849. DOI: 10.4054/DemRes.2013.30.7. View

2.
Buysse D, Reynolds 3rd C, Monk T, BERMAN S, Kupfer D . The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Res. 1989; 28(2):193-213. DOI: 10.1016/0165-1781(89)90047-4. View

3.
Weinstein M, Goldman N, Hedley A, Yu-Hsuan L, Seeman T . Social linkages to biological markers of health among the elderly. J Biosoc Sci. 2003; 35(3):433-53. DOI: 10.1017/s0021932003004334. View

4.
Goldman N, Cornman J, Chang M . Measuring subjective social status: a case study of older Taiwanese. J Cross Cult Gerontol. 2006; 21(1-2):71-89. DOI: 10.1007/s10823-006-9020-4. View

5.
Yeager D, Glei D, Au M, Lin H, Sloan R, Weinstein M . Religious involvement and health outcomes among older persons in Taiwan. Soc Sci Med. 2006; 63(8):2228-41. DOI: 10.1016/j.socscimed.2006.05.007. View