HRS Bibliography

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B

Blue L, Gill L, Faul JD, Bradway K, Stapleton DC. Predicting Receipt of Social Security Administration Disability Benefits Using Biomarkers and Other Physiological Measures: Evidence From the Health and Retirement Study. Journal of Aging and Health. 2019;31(4):555-579. doi:10.1177/0898264317737893.
http://www.ncbi.nlm.nih.gov/pubmed/29254420?dopt=Abstract
Brown L, Zhang Y, Mitchell CM, Ailshire JA. Does Telomere Length Indicate Biological, Physical and Cognitive Health Among Older Adults? Evidence from the Health and Retirement Study. Journals of Gerontology Series A: Biological Sciences and Medical Sciences. 2018;73(7):905-905. doi:10.1093/gerona/gly001.
http://www.ncbi.nlm.nih.gov/pubmed/29346517?dopt=Abstract

C

Chatterji P, Joo H, Lahiri K. Beware of being unaware: racial/ethnic disparities in chronic illness in the USA. Health Econ. 2012;21(9):1040-60. doi:10.1002/hec.2856.
http://www.ncbi.nlm.nih.gov/pubmed/22764038?dopt=Abstract
Chiu C-J, Du Y-F. Longitudinal investigation of the reciprocal relationship between depressive symptoms and glycemic control: The moderation effects of sex and perceived support. Journal of Diabetes Investigation. 2019;10(3):801-808. doi:10.1111/jdi.12969.
http://www.ncbi.nlm.nih.gov/pubmed/30390387?dopt=Abstract
Crimmins EM, Faul JD, Kim JKi, Weir DR. Documentation of Biomarkers in the 2010 and 2012 Health and Retirement Study. Ann Arbor, Michigan: Survey Research Center, University of Michigan; 2015:15.PDF icon Download PDF (198.27 KB)

D

Das A. Chronic ongoing stressors and C-reactive protein: A within-person study. Journal of Aging and Health. Forthcoming. doi:10.1177/0898264319862419.
http://www.ncbi.nlm.nih.gov/pubmed/31315485?dopt=Abstract

F

Fletcher JM. Spousal concordance in telomere length: New evidence from older adults in the US. PLoS One. 2018;13(11):e0202388. doi:10.1371/journal.pone.0202388.
http://www.ncbi.nlm.nih.gov/pubmed/30383762?dopt=Abstract

G

García C, Ailshire JA. Biological risk profiles among Latino subgroups in the Health and Retirement Study. Innovation in Aging. 2019;3(2):igz017. doi:10.1093/geroni/igz017.
http://www.ncbi.nlm.nih.gov/pubmed/31276052?dopt=Abstract
Goldman N, Turra CM, Rosero-Bixby L, Weir D, Crimmins E. Do biological measures mediate the relationship between education and health: A comparative study. Soc Sci Med. 2011;72(2):307-15. doi:10.1016/j.socscimed.2010.11.004.
http://www.ncbi.nlm.nih.gov/pubmed/21159415?dopt=Abstract

H

Hafez D, Heisler M, Choi H, Ankuda CK, Winkelman T, Kullgren JT. Association Between Purpose in Life and Glucose Control Among Older Adults. Annals of Behavioral Medicine. 2018;52(4):309-318. doi:10.1093/abm/kax012.
http://www.ncbi.nlm.nih.gov/pubmed/30084896?dopt=Abstract

L

Levy BR, Bavishi A. Survival Advantage Mechanism: Inflammation as a Mediator of Positive Self-Perceptions of Aging on Longevity. J Gerontol B Psychol Sci Soc Sci. 2018;73(3):409-412. doi:10.1093/geronb/gbw035.
http://www.ncbi.nlm.nih.gov/pubmed/27032428?dopt=Abstract
Li F-R, Zhang X-R, Zhong W-F, et al. Glycated hemoglobin and all-cause and cause-specific mortality among adults with and without diabetes. Journal of Clinical Endocrinology and Metabolism. Forthcoming. doi:10.1210/jc.2018-02536.
http://www.ncbi.nlm.nih.gov/pubmed/30896760?dopt=Abstract
Luchetti M, Barkley JM, Stephan Y, Terracciano A, Sutin AR. Five-factor model personality traits and inflammatory markers: new data and a meta-analysis. Psychoneuroendocrinology. 2014;50:181-93. doi:10.1016/j.psyneuen.2014.08.014.
http://www.ncbi.nlm.nih.gov/pubmed/25233337?dopt=Abstract
Rehkopf DH, Rosero-Bixby L, Dow WH. A cross-national comparison of 12 biomarkers finds no universal biomarkers of aging among individuals aged 60 and older. Lutz W, ed. Vienna Yearbook of Population Research. 2017;1:255-277. doi:10.1553/populationyearbook10.1553/populationyearbook201610.1553/populationyearbook2016s255.

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McDade TW, Williams S, J Snodgrass J. What a drop can do: dried blood spots as a minimally invasive method for integrating biomarkers into population-based research. Demography. 2007;44(4):899-925. doi:10.1353/dem.2007.0038.
http://www.ncbi.nlm.nih.gov/pubmed/18232218?dopt=Abstract
Michaud P-C, Crimmins EM, Hurd MD. The effect of job loss on health: Evidence from biomarkers. Labour Economics. 2016;41:194 - 203. doi:10.1016/j.labeco.2016.05.014.
Mitchell UA, Ailshire JA, Crimmins EM. Change in cardiometabolic risk among blacks, whites and Hispanics: findings from the Health and Retirement Study. The Journals of Gerontology: Series A. 2019;74(2):240-246. doi:10.1093/gerona/gly026.
Mitchell UA, Aneshensel CS. Social Inequalities in Inflammation: Age Variations in Older Persons. J Aging Health. 2017;29(5):769-787. doi:10.1177/0898264316645546.
http://www.ncbi.nlm.nih.gov/pubmed/27117593?dopt=Abstract
Mutambudzi M, Díaz-Venegas C, Menon S. Association between baseline glycemic markers (HbA1c) and 8-year trajectories of functional disability. Journals of Gerontology, Series A: Biological Sciences & Medical Sciences. 2019. doi:10.1093/gerona/glz089.
http://www.ncbi.nlm.nih.gov/pubmed/30958520?dopt=Abstract

N

Nguyen TT, Vable AM, Glymour MM, Allen AM. Discrimination in health care and biomarkers of cardiometabolic risk in U.S. adults. SSM - Population Health. Forthcoming. doi:10.1016/j.ssmph.2018.10.006.
Nicholas LHersch. Can Food Stamps help to reduce Medicare spending on diabetes?. Econ Hum Biol. 2011;9(1):1-13. doi:10.1016/j.ehb.2010.10.003.
http://www.ncbi.nlm.nih.gov/pubmed/21112260?dopt=Abstract