Literature DB >> 25205853

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

Jennifer C Cornman1, Dana A Glei2, Noreen Goldman3, Ming-Cheng Chang4, Hui-Sheng Lin4, Yi-Li Chuang4, Baai-Shyun Hurng4, Yu-Hsuan Lin4, Shu-Hui Lin4, I-Wen Liu4, Hsia-Yuan Liu4, Maxine Weinstein2.   

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.
© The Author 2014; all rights reserved. Published by Oxford University Press on behalf of the International Epidemiological Association.

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Year:  2014        PMID: 25205853      PMCID: PMC4795557          DOI: 10.1093/ije/dyu179

Source DB:  PubMed          Journal:  Int J Epidemiol        ISSN: 0300-5771            Impact factor:   7.196


  28 in total

1.  Predicting mortality from clinical and nonclinical biomarkers.

Authors:  Noreen Goldman; Cassio M Turra; Dana A Glei; Christopher L Seplaki; Yu-Hsuan Lin; Maxine Weinstein
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2.  The associations between socioeconomic status, allostatic load and measures of health in older Taiwanese persons: Taiwan social environment and biomarkers of aging study.

Authors:  Peifeng Hu; Naveed Wagle; Noreen Goldman; Maxine Weinstein; Teresa E Seeman
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Journal:  J Pain Symptom Manage       Date:  2002-03       Impact factor: 3.612

4.  Perceived stress and physiological dysregulation in older adults.

Authors:  Noreen Goldman; Dana A Glei; Christopher Seplaki; I-Wen Liu; Maxine Weinstein
Journal:  Stress       Date:  2005-06       Impact factor: 3.493

5.  The stress process.

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Journal:  J Health Soc Behav       Date:  1981-12

6.  Relationship between subjective social status and measures of health in older Taiwanese persons.

Authors:  Peifeng Hu; Nancy E Adler; Noreen Goldman; Maxine Weinstein; Teresa E Seeman
Journal:  J Am Geriatr Soc       Date:  2005-03       Impact factor: 5.562

7.  To what extent do biomarkers account for the large social disparities in health in Moscow?

Authors:  Dana A Glei; Noreen Goldman; Vladimir M Shkolnikov; Dmitri Jdanov; Svetlana Shalnova; Maria Shkolnikova; Maxine Weinstein
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8.  Perceived stress and biological risk: is the link stronger in Russians than in Taiwanese and Americans?

Authors:  Dana A Glei; Noreen Goldman; Vladimir M Shkolnikov; Dmitri Jdanov; Maria Shkolnikova; James W Vaupel; Maxine Weinstein
Journal:  Stress       Date:  2013-05-03       Impact factor: 3.493

9.  Social linkages to biological markers of health among the elderly.

Authors:  Maxine Weinstein; Noreen Goldman; Allison Hedley; Lin Yu-Hsuan; Teresa Seeman
Journal:  J Biosoc Sci       Date:  2003-07

10.  Beyond Self-Reports: Changes in Biomarkers as Predictors of Mortality.

Authors:  Dana A Glei; Noreen Goldman; Germán Rodríguez; Maxine Weinstein
Journal:  Popul Dev Rev       Date:  2014-06-01
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  24 in total

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2.  Testing Proposed Quantifications of Biological Aging in Taiwanese Older Adults.

Authors:  Lauren Gaydosh; Daniel W Belsky; Dana A Glei; Noreen Goldman
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3.  Electronic data collection in epidemiological research. The use of REDCap in the Pelotas birth cohorts.

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4.  Prospective associations of social isolation and loneliness with poor sleep quality in older adults.

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Journal:  Qual Life Res       Date:  2017-11-30       Impact factor: 4.147

5.  Prospective associations of exercise and depressive symptoms in older adults: the role of apolipoprotein E4.

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Journal:  Qual Life Res       Date:  2017-03-03       Impact factor: 4.147

6.  "Went Along With": Acquiescence During First Sexual Experience and Late-Life Health.

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7.  Effect of Body Weight, Waist Circumference and Their Changes on Mortality: a 10-Year Population-based Study.

Authors:  W-J Lee; L-N Peng; C-H Loh; L-K Chen
Journal:  J Nutr Health Aging       Date:  2018       Impact factor: 4.075

8.  Quantifying the value of biomarkers for predicting mortality.

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Journal:  Ann Epidemiol       Date:  2015-08-29       Impact factor: 3.797

9.  The Co-Occurrence Of Frailty (Accumulation Of Functional Deficits) And Depressive Symptoms, And Its Effect On Mortality In Older Adults: A Longitudinal Study.

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10.  Early-life education may help bolster declarative memory in old age, especially for women.

Authors:  Jana Reifegerste; João Veríssimo; Michael D Rugg; Mariel Y Pullman; Laura Babcock; Dana A Glei; Maxine Weinstein; Noreen Goldman; Michael T Ullman
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