Taiwan - Biodemography of Health, Social Factors, and Life Challenge

SEBAS - (Social Environment and Biomarkers of Aging Study)

Overview

Demographic processes, the social environment, and life challenge are intimately interlocked with functional status and illness. The social environment, encompassing position in social hierarchies as well as linkages within social networks and support systems, interacts with exposure to challenge to influence physical and mental wellbeing.

The Social Environment and Biomarkers of Aging Study (SEBAS) in Taiwan was initially developed to explore how understanding the relationships among life challenge, the social environment, and health can be enhanced by incorporating biological markers of health and stress. Specific aims of the initial study included:
  1. Investigating the extent to which biological markers of stress and chronic illness are related to reports of life events;
  2. Examining the extent to which biological markers help to explain variation in health across social hierarchies and networks; and
  3. Exploring the associations among the biological markers, data from physicians' examinations, and self-reported health status, and their links to survival.
With the addition of longitudinal data, the goals of the project have expanded to understanding the antecedents, correlates, and consequences of levels and changes in biological measures, health and survival. (Cornman et al., 2014, click here to view a PDF of the Cohort Profile in the International Journal of Epidemiology).

SEBAS comprises a nationally representative longitudinal survey of Taiwanese adults age 54 and over.

It adds the collection of biomarkers and performance assessments to the Taiwan Longitudinal Study of Aging (TLSA), a nationally representative study of adults age 60 and over, including the institutionalized population. The TLSA began in 1989 with follow-ups approximately every three 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 exam. In addition to a 12-hour (7pm-7am) urine specimen collected the night before the exam and a fasting blood specimen during the exam, trained staff measured blood pressure, height, weight, waist, and hip circumference. 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. (Cornman et al., 2014)

The interlocking architecture of the TLSA and SEBAS surveys is shown in Figure 1. "Both waves of SEBAS also included measures of health status (physical, emotional, cognitive), health behaviors, social relationships, and exposure to stressors. The SEBAS data, which are publicly available from the ICPSR, allow researchers to explore the relationships among life challenge, the social environment, and health and to examine the antecedents, correlates, and consequences of change in biological measures and health (Cornman et al., 2014)."

First Wave (SEBAS 2000)

"The first wave of SEBAS, based on a sub-sample of respondents from the 1999 TLSA, was conducted in 2000" and represented a national sample of Taiwanese adults aged 54 and older. Like TLSA, it included an in-home interview, but was supplemented by collection of biomarkers. "A total of 1023 respondents completed both a face-to-face home interview and, several weeks later, a hospital-based physical exam." (Cornman et al., 2014)

Second Wave (SEBAS 2006)

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...The targeted sample included the 1023 respondents who had completed both the home interview and the health exam in 2000 as well as a refresher cohort of 660 respondents aged 53-60 in 2006 who were first interviewed in the 2003 TLSA. Thus, the 2006 SEBAS comprised a representative cross-section of the Taiwanese population aged 53 and older. The 2006 in-home interview was completed by 1284 respondents, 1036 of whom also participated in the physical exam. (Cornman et al., 2014)

Measures

Table 1 lists selected measures collected in TLSA and SEBAS. "Both waves of SEBAS included measures of health status (physical, emotional, cognitive), health behaviors, social relationships, and exposure to stressors" (Cornman et al., 2014) based on the in-home interview. Data from the hospital visit include anthropometry, blood pressure, and laboratory assays of fasting blood and 12 hr overnight urine specimens. "Comparisons of the laboratory assay results for duplicate specimens sent to the lab in Taiwan (Union Clinical Laboratory) indicate high intra-lab correlations (>= 0.9) for most markers tested, with a few notable exceptions (e.g., IGF-1, sICAM-1). Based on comparisons with results from a lab in the U.S. (Quest Diagnostics), inter-lab correlations were also generally high (>= 0.9). For details, see Table 2.2 in the "SEBAS User Guide." (Cornman et al., 2014) The DNA specimens have already been assayed for APOE, 5-HTTLPR, and telomere length. An additional 169 targeted genes and single nucleotide polymorphisms (SNPs) are currently being processed. See Table 2 for a full list.

Strengths

Perhaps the most notable strength of the data is the detail and breadth of the available indicators related to health, the social environment, and life challenges. First, the data contain an unusually large array of biological markers, including several genetic markers. Current work includes assays for additional genes and SNPs; the public use data file will be updated for these markers when the work is complete. Second, self-reported measures cover multiple dimensions of health status (physical, emotional, and cognitive); several health-related behaviors; and use of biomedical and traditional health-care facilities and providers. Third, interviewer-administered health assessments offer yet another method for evaluating the respondent’s health. Fourth, the data include high quality information for determining survival status. Finally, SEBAS includes indicators of both objective and subjective socioeconomic status, social relationships, and exposure to stressors ranging from daily hassles to trauma. Other strengths include a relatively large, nationally-representative sample; an age range that includes persons as young as 53; high participation rates; and longitudinal follow-up with low loss to follow-up. Nonetheless, the data also have limitations. As with any study of an older population, those who died at relatively early ages are not represented; yet, the proportion of the Taiwanese population dying before age 53 is small: 7.5% in 2006 (HMD, accessed April 2, 2014). (Cornman et al., 2014)

How to Obtain Access to the Data

A public use dataset and full documentation for the biomarker study are available from the ICPSR (persistent URL: doi.org/10.3886/ICPSR03792.v7). "The dataset includes information from the: a) 2000 SEBAS for the N = 1023 respondents who completed the home interview and the physical exam; and b) 2006 SEBAS for the N = 1284 respondents who completed the home interview (including clinical data for those who also participated in the exam: N = 1036). Users interested in obtaining and using these data must complete a Data Use Agreement form available by contacting ICPSR User Support (734-647-2200) or by downloading the form at the website noted above. Upon receipt of the data use agreement and supporting documents, a copy of the data will be sent to the primary user." (Cornman et al., 2014)

Reference

Cornman, J.C., D.A. Glei, N. Goldman, M-C. Chang, H-S. Lin, Y-L. Chuang, B-S. Hurng, Y-H. Lin, S-H. Lin, I-W. Liu, H-Y. Liu, M. Weinstein. (2014). Cohort Profile: The Social Environment and Biomarkers of Aging Study (SEBAS) in Taiwan. International Journal of Epidemiology. [PDF]

PUBLICATIONS BASED ON SEBAS

  1. Weinstein, M., R. Willis. 2000. Stretching Social Surveys to Include Bioindicators: Possibilities for the Health and Retirement Study, Experience from the Taiwan Study of the Elderly. In Cells and Surveys, C. Finch, J. Vaupel, K. Kinsella (editors). National Research Council, National Academy Press, Washington, DC.
  2. Goldman, N., I.-F. Lin, M. Weinstein, and Y.-H. Lin. 2003. Evaluating the Quality of Self-Reports of Hypertension and Diabetes. Journal of Clinical Epidemiology 56:148-154.
  3. Weinstein, M., N. Goldman, A. Hedley, Y.-H. Lin, and T. Seeman. 2003. Social Linkages to Biological Markers of Health Among the Elderly. Journal of Biosocial Science 35:433-453.
  4. Glei, D, N. Goldman, M. Weinstein, and I.-W. Liu. 2004. Dehydroepiandrosterone Sulfate (DHEAS) and Health: Does the Relationship Differ by Sex? Experimental Gerontology 39:321-331.
  5. Goldman, N., Glei, D. A., Chang, M.-C. 2004. The Role of Clinical Risk Factors in Understanding Self-Rated Health. Annals of Epidemiology 14:49-57.
  6. Goldman, N., M. Weinstein, J. Cornman, B. Singer, T. Seeman, and M.-C. Chang. 2004. Sex Differentials in Biological Risk Factors for Chronic Disease: Estimates from Population-Based Surveys. Journal of Women’s Health 13:393-403.
  7. Seeman, T., D. Glei, N. Goldman, M. Weinstein, B. Singer, and Y.-H. Lin. 2004. Social Relationships and Allostatic Load in Taiwanese Elderly and Near Elderly. Social Science and Medicine 59:2245-2257.
  8. Seplaki, C.L., N. Goldman, M. Weinstein, Y.-H. Lin. 2004. How are Biomarkers Related to Physical and Mental Well-Being? The Journals of Gerontology Series A: Biological Sciences and Medical Sciences 59:201-217.
  9. Gersten O. 2005. Bridging the biological and social worlds: neuroendocrine biomarkers, social relations, and the costs of cumulative stress in Taiwan [dissertation]. Berkeley, CA: University of California, Berkeley.
  10. Goldman, N. D. Glei, C. Seplaki, I.-W. Liu, M. Weinstein. 2005. Perceived Stress and Physiological Dysregulation. Stress 8: 95-105.
  11. Hu, P., N.E. Adler, N. Goldman, M. Weinstein, T.E. Seeman. 2005. Relationship between Subjective Social Status and Measures of Health in Older Taiwanese Persons. Journal of the American Geriatrics Society 53: 483-488.
  12. Seplaki, C., N. Goldman, D. Glei, and M. Weinstein. 2005. A Comparative Analysis of Measurement Approaches for Physiological Dysregulation in an Older Population. Experimental Gerontology 40:438-449.
  13. Turra, C.M., N. Goldman, C.L. Seplaki, M. Weinstein, D.A. Glei, Y.-H. Lin. 2005. Determinants of Mortality at Older Ages: The Role of Biological Markers of Chronic Disease. Population and Development Review 31: 677-701.
  14. Chiu, Tzu-I., and Gale A. Spencer. 2006. The Effect of Social Control and Personal Control on the Functional Health Status of Older Adults in Rural and Urban Taiwan [dissertation]. State University of New York at Binghamton, Decker School of Nursing.
  15. Dowd, J.B., and N. Goldman. 2006. Do Biomarkers of Stress Mediate the Relationship Between Socioeconomic Status and Health? Journal of Epidemiology and Community Health 60:633-639.
  16. Glei, D., M.-C. Chang, Y.-L. Chuang, Y.-H. Lin, H.-S. Lin, N. Goldman, and M. Weinstein. 2006. Results from the Social Environment and Biomarkers of Aging Study (SEBAS) 2000: Report to the Taiwan Department of Health (in English and Chinese). Taiwan Aging Study Series No. 9, May.
  17. Glei, D., N. Goldman. 2006. Dehydroepiandrosterone Sulfate (DHEAS) and Risk of Mortality Among Older Taiwanese. Annals of Epidemiology 16:510-515.
  18. Goldman, N., Cornman, J. and M.-C. Chang. 2006. Measuring Subjective Social Status: A Case Study of Older Taiwanese. Journal of Cross-Cultural Gerontology 21: 1-89.
  19. Goldman, N., C.M. Turra, D.A. Glei, Y.-H. Lin, and M. Weinstein. 2006. Physiological Dysregulation and Changes in Health in an Older Population. Experimental Gerontology 41:862-870.
  20. Goldman, Noreen, Cassio M. Turra, Dana A. Glei, Christopher L. Seplaki, Yu-Hsuan Lin, and Maxine Weinstein. 2006. "Predicting mortality from clinical and nonclinical biomarkers." The Journals of Gerontology Series A: Biological Sciences and Medical Sciences 61(10):1070-1074.
  21. Seplaki, C.L., N. Goldman, M. Weinstein, Y.-H. Lin. 2006. Before and After the 1999 Chi-Chi Earthquake: Traumatic Events and Depressive Symptoms Among an Older Population. Social Science and Medicine 62:3121-3132.
  22. Seplaki, C.L., N. Goldman, M. Weinstein, Y.-H. Lin. 2006. Measurement of Cumulative Physiological Dysregulation in an Older Population. Demography 43:165-183.
  23. Yeager D.M., Glei, D.A., Au, M., Lin, H.S., Sloan, R.P., and Weinstein, M. 2006. Religious Involvement and Health Outcomes Among Older Persons in Taiwan. Social Science and Medicine 63:2228-2241.
  24. Chang, Ming-Cheng, Dana Glei, Noreen Goldman, and Maxine Weinstein. National Research Council. 2007. The Taiwan Biomarker Project. Chapter 3 in Biosocial Surveys, Committee on Advances in Collecting and Utilizing Biological Indicators and Genetic Information in Social Science Surveys. Maxine Weinstein, James W. Vaupel, and Kenneth W. Wachter, Eds. Committee on Population, Division of Behavioral and Social Sciences and Education. Washington, DC: The National Academies Press.
  25. Ewbank, Douglas C. 2007. Differences in the association between apolipoprotein E genotype and mortality across populations. The Journals of Gerontology Series A: Biological Sciences and Medical Sciences 62(8):899-907.
  26. Glei, D.A., N. Goldman, Y.-L. Chuang and M. Weinstein. 2007. Do Chronic Stressors Lead to Physiological Dysregulation? Testing the Theory of Allostatic Load. Psychosomatic Medicine 69:769-776.
  27. Goldman, N., D.A. Glei. 2007. Sex Differences in the Relationship between DHEAS and Health. Experimental Gerontology 42:979-987.
  28. Hu, P., N. Wagle, N. Goldman, M. Weinstein, and T. Seeman. 2007. The Associations between Socioeconomic Status, Allostatic Load, and Measures of Health in Older Taiwanese Persons: Taiwan Social Environment and Biomarkers of Aging Study. Journal of Biosocial Science 39:545-556.
  29. Cole SW. 2008. Social regulation of leukocyte homeostasis: the role of glucocorticoid sensitivity. Brain Behav Immun 22(7):1049-55.
  30. Collins, A.L. and N. Goldman. 2008. Perceived Social Position and Health in Older Adults. Social Science and Medicine 66: 769-776. PMCID: PMC2696262
  31. Gersten O. 2008. Neuroendocrine biomarkers, social relations, and the cumulative costs of stress in Taiwan. Soc Sci Med 66(3):507,19; discussion 520-35.
  32. Zhang F, Lewis M, Yang G, Iriondo-Perez J, Zeng Y, Liu J. 2008. Apolipoprotein E polymorphism, life stress and self-reported health among older adults. J Epidemiol Community Health 62(4):e3.
  33. Goldman, N., D. Glei, Y.-H. Lin, M. Weinstein. 2009. Improving Mortality Prediction using Biosocial Surveys. American Journal of Epidemiology, 169:769-779. PMID: 19147742; PMCID: PMC2732975.
  34. Lan TY, Chang WC, Lan TH, Hurng BS. 2009. Apolipoprotein E genotype and risk of developing physical limitations in elderly people. J Am Geriatr Soc. 57(7):1308-9.
  35. Chen, Y. C., H. H. Chang, C. J. Wen, W. Y. Lin, C. Y. Chen, B. S. Hong, and K. C. Huang. 2010. "Elevated serum dehydroepiandrosterone sulphate level correlates with increased risk for metabolic syndrome in the elderly men." European journal of clinical investigation 40(3):220-225.
  36. Chiu TI, Spencer GA. 2010. Functional health status among rural and urban older adults in Taiwan: the effect of personal control and social control. Int J Older People Nurs 5(3):202-10.
  37. Chou, Kee-Lee. 2010. Moderating effect of apolipoprotein genotype on loneliness leading to depressive symptoms in Chinese older adults. The American Journal of Geriatric Psychiatry 18(4):313-322.
  38. Goldman, N., D. Glei, Y.-H. Lin, M. Weinstein. 2010. The Serotonin Transporter Polymorphism (5-HTTLPR): Allelic Variation and Links with Depressive Symptoms. Depression and Anxiety 27: 260-269. PMID: 20196101; PMCID: PMC2841212.
  39. Wu, C.H., C.Y. Chen, Y.C. Wu, L.J. Weng, B.-S. Hurng. 2010. Diabetes Mellitus and Functional Impairment in Taiwanese Older Men and Women. Archives of Gerontology and Geriatrics 50(Suppl 1):S6-S10. doi: 10.1016/S0167-4943(20)70004-2
  40. Chuang KJ, Yan YH, Chiu SY, Cheng TJ. 2011. Long-term air pollution exposure and risk factors for cardiovascular diseases among the elderly in Taiwan. Occup Environ Med 68(1):64-8.
  41. Cornman, J.C., D.A. Glei, G. Rodríguez, N. Goldman, B-.S. Hurng. M. Weinstein. 2011. Demographic and Socioeconomic Status Differences in Perceptions of Difficulty with Mobility in Late Life. Journal of Gerontology: Series B: Psychological Sciences and Social Sciences 66B: 237-248. PMCID: PMC3107021.
  42. Daly M, MacLachlan M. 2011. Heredity links natural hazards and human health: Apolipoprotein E gene moderates the health of earthquake survivors. Health Psychol. 30(2):228-35. doi: 10.1037/a0022377. PubMed PMID: 21401257.
  43. Dowd, J.B., N. Goldman, M. Weinstein. 2011. Sleep Duration, Sleep Quality, and Biomarkers of Inflammation in a Taiwanese Population. Annals of Epidemiology 21:799-806. PMCID: PMC3204862.
  44. Glei, D.A., N. Goldman, Y.-H. Lin, M. Weinstein. 2011. Age-Related Changes in Biomarkers: Longitudinal Data from a Population-Based Sample. Research on Aging 33(3):312-326. doi: 10.1177/0164027511399105. PMCID: PMC3109912.
  45. Goldman, N., C. Turra, L Rosero-Bixby, D. Weir, E. Crimmins. 2011. Do Biological Measures Mediate the Relationship Between Education and Health: A Comparative Study. Social Science and Medicine 72: 307-315. PMCID: PMC3039215.
  46. Huang YW, Chen CY, Weng LJ, Wu YC. 2011. Is the metabolic syndrome associated with cardiovascular disease, diabetes mellitus, and increased physical limitations in an elderly population if multiple chronic illnesses are taken into consideration? International Journal of Gerontology 5(3):146-149.
  47. Smith, K., N. Goldman. 2011. Measuring Health Status: An Examination of Self-, Interviewer-, and Physician-reports of Overall Health. Journal of Aging and Health 23:242-266. PMID: 21041293. PMCID: PMC3727648.
  48. Vasunilashorn, S., D.A. Glei, C.Y. Lan, R. Brookmeyer, M. Weinstein, N. Goldman. 2011. Apolipoprotein E is associated with blood lipids and inflammation in Taiwanese older adults. Atherosclerosis 219:349-354. doi: 10.1016/j.atherosclerosis.2011.07.100. PMID: 21840004. PMCID: PMC3225086.
  49. Cornman, Jennifer C., Noreen Goldman, Amy Love Collins, Dana A. Glei, Baai-Shyun Hurng, and Maxine Weinstein. 2012. "Do adults adjust their socio-economic status identity in later life." Ageing and society 32(4): 616. PMCID: PMC3745029.
  50. Zeng Y, Hughes CL, Lewis MA, Li J, Zhang F. 2011. Interactions between life stress factors and carrying the APOE4 allele adversely impact self-reported health in old adults. J Gerontol A Biol Sci Med Sci 66(10):1054-61.
  51. Glei, D.A., N. Goldman, Y.H. Lin, M. Weinstein. 2012. Relaxation Practice and Physiological Regulation in a National Sample of Older Taiwanese. Journal of Alternative and Complementary Medicine 18(7):653-661. doi: 10.1089/acm.2010.0598. PMID: 22775201. PMC3405452.
  52. Glei, D.A., N. Goldman, C.D. Ryff, Y.H. Lin, M. Weinstein. 2012. Social Relationships and Inflammatory Markers: An Analysis of Taiwan and the U.S. Social Science and Medicine 74:1891-1899. doi: 10.1016/j.socscimed.2012.02.020. PMID: 22483707. PMCID: PMC3348237.
  53. Shun, Yi Yu. 2012. Analysis of pre-diabetes-related factors in the elderly in Taiwan. Department of Healthcare Administration/Long-term Care Division, Asia University.
  54. Tsai AC, Chang TL. 2012. Quality issues of self-report of hypertension: analysis of a population representative sample of older adults in Taiwan. Arch Gerontol Geriatr 55(2):338-42.
  55. Tsai AC, Tsai HJ. 2012. Functional impairment but not metabolic syndrome is associated with depression in older Taiwanese: results from the Social Environment and Biomarkers of Aging Study. The journal of nutrition, health & aging 16(5):492-6.
  56. Chen, M. M., and Alan C. Tsai. 2013. "The effectiveness of IDF and ATP-III in identifying metabolic syndrome and the usefulness of these tools for health-promotion in older Taiwanese." The journal of nutrition, health & aging 17(4): 413-416.
  57. Culverhouse RC, Bowes L, Breslau N, Nurnberger JI Jr, Burmeister M, Fergusson DM, Munafò M, Saccone NL, Bierut LJ; 5-HTTLPR, Stress, and Depression Consortium. 2013. Protocol for a collaborative meta-analysis of 5-HTTLPR, stress, and depression. BMC Psychiatry 13:304. doi: 10.1186/1471-244X-13-304. PMID: 24219410; PMCID: PMC3840571.
  58. Glei, D.A., N. Goldman, V.M. Shkolnikov, D. Jdanov, M. Shkolnikova, J.W. Vaupel, M. Weinstein. 2013. Perceived Stress and Biological Risk: Is the Link Stronger in Russians than in Taiwanese and Americans? Stress 16:411-420. PMCID: PMC3686890
  59. Glei, D.A., N. Goldman, C.-H. Wu, M. Weinstein. 2013. Does Exposure to Stressors Predict Changes in Physiological Dysregulation? Annals of Behavioral Medicine 46:121-126. PMCID: PMC3708988
  60. Li YP, Chen YM, Chen CH. 2013. Volunteer transitions and physical and psychological health among older adults in Taiwan. J Gerontol B Psychol Sci Soc Sci. 68(6):997-1008.
  61. McEniry, Mary. 2013. “Cross-National Comparisons of Health Disparities among Aging Populations in Latin America, the Carribean, Asia, and Africa.” Population Studies Center Research Report 13-792. Ann Arbor, MI: University of Michigan.
  62. Swann, J.R., M. Lewis, K. Spagou, J. Nicholson, D.A. Glei, T.E. Seeman, C.L. Coe, N. Goldman, C.D. Ryff, M. Weinstein, E. Holmes. 2013. Microbial-Mammalian Co-Metabolites Dominate the Age-Associated Urinary Metabolic Phenotype in Taiwanese and American Populations. Journal of Proteome Research 12: 3166-3180. PMCID: PMC3835364
  63. Todd, M., N. Goldman. 2013. Do Interviewer Health Ratings Predict Mortality?: A comparison with Self-Rated Health. Epidemiology 24:913-20. DOI: 10.1097/EDE.0b013e3182a713a8. PMID: 24045721.
  64. Vasunilashorn, S., D.A. Glei, Y.H. Lin, N. Goldman. 2013. Apolipoprotein E and Measured Physical and Pulmonary Function in Older Taiwanese Adults. Biodemography and Social Biology 59:57-67. PMCID: PMC3704952
  65. Vasunilashorn S, Kim JK, Crimmins EM. 2013. International differences in the links between obesity and physiological dysregulation: the United States, England, and Taiwan. J Obesity, 618056. DOI: 10.1155/2013/618056.
  66. Cornman, Jennifer C., Dana A. Glei, Noreen Goldman, Ming-Cheng Chang, Hui-Sheng Lin, Yi-Li Chuang, Baai-Shyun Hurng, Yu-Hsuan Lin, Shu-Hui Lin, I-Wen Liu, Hsia-Yuan Liu and Maxine Weinstein. 2014. Cohort Profile: The Social Environment and Biomarkers of Aging Study (SEBAS) in Taiwan. International Journal of Epidemiology. DOI: 10.1093/ije/dyu179. PMID: 25205853 [PDF]
  67. Cornman, Jennifer C., Dana A. Glei, Noreen Goldman, Carol Ryff and Maxine Weinstein. 2014. Socioeconomic Status and Biological Markers of Health: An Examination of Adults in the United States and Taiwan. Journal of Aging & Health. DOI: 10.1177/0898264314538661. PMID: 24972822
  68. Glei, Dana A., Noreen Goldman, Germán Rodríguez and Maxine Weinstein. 2014. Beyond Self Reports: Changes in Biomarkers as Predictors of Mortality. Population and Development Review 40(2):331-360. [Supplementary Material] PMID: 25089065.
  69. Goldman, Noreen, Dana A. Glei, Luis Rosero-Bixby, Shu-Ti Chiou, and Maxine Weinstein. 2014. Self-Reported versus Performance-Based Measures of Physical Function: Prognostic Value for Survival. Demographic Research 30(7):227-252.
  70. Hwang, A.-C., Peng, L.-N., Wen, Y.-W., Tsai, Y.-W., Chang, L.-C., Chiou, S.-T., Chen, L.-K. 2014. Predicting all-cause and cause-specific mortality by static and dynamic measurements of allostatic load: A 10-year population-based cohort study in Taiwan. Journal of the American Medical Directors Association 15( 7):490-496. DOI: 10.1016/j.jamda.2014.02.001. PMID: 24631353.
  71. Lee, Chioun, Germán Rodríguez, Dana A. Glei, Maxine Weinstein, and Noreen Goldman. 2014. Increases in Blood Glucose in Older Adults: The Effects of Spousal Health. Journal of Aging and Health 26(6):952-968. DOI: 10.1177/0898264314534894. PMID: 24891563
  72. Glei, Dana A., Noreen Goldman and Maxine Weinstein. Forthcoming. Health as Reflected by Biomarkers in Older Populations. Chapter in: Demographic Studies on Survival and Health. Springer-Max Planck Series. Heidelberg: Springer Dordrecht.
  73. Glei, Dana A., Noreen Goldman, Maxine Weinstein and Rosa Ana Risques. Forthcoming. Shorter Ends, Faster End: Leukocyte Telomere Length and Mortality Among Older Taiwanese. Journal of Gerontology: Biological Sciences.
  74. Vasunilashorn, Sarinnapha, and Alan A. Cohen. Forthcoming. Stress Responsive Biochemical Anabolic/Catabolic Ratio and Telomere Length in Older Adults. Biodemography and Social Biology.
  75. Weinstein, Maxine, Dana Glei and Noreen Goldman. Forthcoming. The Loyal Opposition: A Commentary on "Opportunities and Challenges in the Study of Biosocial Dynamics in Healthy Aging" Chapter 7 in Perspectives on the Future of the Sociology of Aging. National Academy of Sciences.
  76. Blue, L. Submitted. Body weight, weight change, and mortality risk.
  77. Cornman, Jennifer C., Dana A. Glei, Noreen Goldman and Maxine Weinstein. Submitted. Physiological Dysregulation, Frailty and Risk of Mortality.
  78. Vasunilashorn, Sarinnapha. Submitted. Socioeconomic Status and Subjective Social Status are Associated with Physical and Pulmonary Function in Older Taiwanese Adults.

PUBLICATIONS BASED ON TLSA

(Taiwan Longitudinal Study of Aging)

  1. Beckett, Megan, Maxine Weinstein, Noreen Goldman and Yu-Hsuan Lin. 2000. Do Health Interview Surveys Yield Reliable Data on Chronic Illness Among Older Respondents? American Journal of Epidemiology 151:315-323.
  2. Beckett, M., N. Goldman, M. Weinstein, I-F. Lin, and Y.-L. Chuang. 2002. Social Environment, Life Challenge, and Health Among the Elderly in Taiwan. Social Science and Medicine 55:191-209.
  3. Cornman, J. C., N. Goldman, M. Weinstein, D. Glei, and M.C. Chang. 2003. Social Ties and Perceived Support: Two Dimensions of Social Relationships and Health Among the Elderly in Taiwan. Journal of Aging and Health 15:616-644.
  4. Lin, I-F., N. Goldman, M. Weinstein, Y.-H. Lin, T. Gorrindo, and T. Seeman. 2003. Gender Differences in Adult Children’s Provision of Support to their Elderly Parents in Taiwan. Journal of Marriage and the Family 65(1):184-200.
  5. Cornman, J.C., S.M. Lynch, N. Goldman, M. Weinstein, and H.-S. Lin. 2004. Stability and Change in the Perceived Support of Older Taiwanese Adults. Journal of Gerontology: Social Sciences 59:S350-S357.
  6. Weinstein, M., D. Glei, A. Yamazaki, and M.-C. Chang. 2004. The Role of Intergenerational Relations in the Association between Life Stressors and Psychological Distress Among the Taiwanese Elderly. Research on Aging 26:511-530.
  7. Glei, D., D.A. Landau, N. Goldman, Y.-L. Chuang, G. Rodriguez, and M. Weinstein. 2005. Participating in Social Activities Helps Preserve Cognitive Function: An Analysis of a Longitudinal, Population-Based Study of the Elderly. International Journal of Epidemiology 34: 864-871.
  8. Tractenberg, R., P. Aisen, and Y.-L. Chuang. 2005. One-trial 10-item Free-recall Performance in Taiwanese Elderly and Near-elderly: A Potential Screen for Cognitive Decline. American Journal of Alzheimer’s Disease and Other Dementias 20:216-224.
  9. Tractenberg, R., M. Weinstein, M. Weiner, P. Aisen, J.-L. Fuh, N. Goldman and Y.-L. Chuang. 2005. Benchmarking a Test of Temporal Orientation with Data from American and Taiwanese Persons with Alzheimer’s Disease and American Normal Elderly. Neuroepidemiology 24:110-116.
  10. Lin, I-F., N. Goldman, M. Weinstein, Y.-H. Lin. 2006. Stability and Change in Patterns of Intergenerational Transfers in Taiwan. pp.63-87 in A.H. Gauthier, C.Y. Chu, and S. Tuljapurkar (eds.) Allocating Public and Private Resources across Generations: Riding the Age Waves – Volume 2. International Studies in Population, Vol 3. The Netherlands: Springer.
  11. Tractenberg, R., M. Weiner, and Y.-L. Chuang. 2007. CES-D Symptoms and DSM Criteria: A Method for Classifying Levels of Self-reported Depressive Symptoms in the Elderly. Journal of Chinese Clinical Medicine 2(1):1-10.
  12. Collins, A.L., N. Goldman, G. Rodríguez. 2008. Is Positive Well-Being Protective of Mobility Limitations Among Older Adults? Journals of Gerontology: Series B:Psychological Sciences and Social Sciences 63B:P321-P327. PMID: 19092034. PMCID: PMC3610529
  13. Chiao C, Weng LJ, Botticello A. 2009. Do older adults become more depressed with age in Taiwan? The role of social position and birth cohort. J Epidemiol Community Health. 63(8):625-32. doi: 10.1136/jech.2008.082230. Epub 2009 Apr 12. PubMed PMID: 19364761.
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(last updated: September 2014)