HRS Bibliography

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A

Pavela G, Kim Y-I, Salvy S-J. Additive effects of obesity and loneliness on C-reactive protein. PLoS One. 2018;13(11):e0206092. doi:10.1371/journal.pone.0206092.
http://www.ncbi.nlm.nih.gov/pubmed/30439985?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
Kröger H, Hoffmann R. The association between CVD-related biomarkers and mortality in the Health and Retirement Survey. Demographic Research. 2018;38:1933-2002. doi:10.4054/DemRes.2018.38.62.
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

B

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
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
Weir DR. Biomarkers in Representative Population Surveys. In: The Palgrave Handbook of Survey Research. The Palgrave Handbook of Survey Research. Palgrave Macmillan, Cham; 2018:227-233. doi:https://doi.org/10.1007/978-3-319-54395-6.

C

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
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.
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
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.

D

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.
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
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)
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

F

Sutin AR, Stephan Y, Terracciano A. Facets of conscientiousness and objective markers of health status. Psychology & Health. 2018:1 - 16. doi:10.1080/08870446.2018.1464165.
Phillips AS, Guarnaccia CA. The five-factor model of personality and self-reported versus biomarker diabetic control. J Health Psychol. 2016;21(10):2328-38. doi:10.1177/1359105315576349.
http://www.ncbi.nlm.nih.gov/pubmed/25814165?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

G

Niles AN, Smirnova M, Lin JE, O'Donovan A. Gender differences in longitudinal relationships between depression and anxiety symptoms and inflammation in the Health and Retirement Study. Psychoneuroendocrinology. 2018;95:149-157. doi:10.1016/j.psyneuen.2018.05.035.
http://www.ncbi.nlm.nih.gov/pubmed/29864671?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

L

J. Snider T, Sullivan J, van Eijndhoven E, et al. Lifetime benefits of early detection and treatment of diabetic kidney disease. PLoS One. 2019;14(5):e0217487. doi:10.1371/journal.pone.0217487.
http://www.ncbi.nlm.nih.gov/pubmed/31150444?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