HRS Bibliography

Bibliography Search
Export 12 results:
Filters: Author is David H. Rehkopf  [Clear All Filters]

A

Rehkopf DH, Jencks C, Glymour MM. The association of earnings with health in middle age: Do self-reported earnings for the previous year tell the whole story?. Social Science and Medicine. 2010;71(3):431-439. doi:10.1016/j.socscimed.2010.03.045.

C

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.
Yank V, Agarwal S, Loftus P, Asch S, Rehkopf DH. Crowdsourced health data: Comparability to a US national survey, 2013–2015. American Journal of Public Health. 2017;107(8):1283-1289. doi:10.2105/AJPH.2017.303824.

D

Walter S, Marden JR, Kubzansky LD, et al. Diabetic Phenotypes and Late-Life Dementia Risk: A Mechanism-specific Mendelian Randomization Study. Alzheimer disease and associated disorders. 2016;30(1):15-20. doi:10.1097/WAD.0000000000000128.
Vable AM, Nguyen TT, Rehkopf DH, Glymour MM, Hamad R. Differential associations between state-level educational quality and cardiovascular health by race: Early-life exposures and late-life health. SSM Population Health. 2019;8:100418. doi:10.1016/j.ssmph.2019.100418.
http://www.ncbi.nlm.nih.gov/pubmed/31249857?dopt=Abstract

E

Hamad R, Nguyen TT, Bhattacharya J, Glymour MM, Rehkopf DH. Educational attainment and cardiovascular disease in the United States: A quasi-experimental instrumental variables analysis. PLoS Medicine. 2019;16(6):e1002834. doi:10.1371/journal.pmed.1002834.
http://www.ncbi.nlm.nih.gov/pubmed/31237869?dopt=Abstract

G

Liu SY, Walter S, Marden JR, et al. Genetic vulnerability to diabetes and obesity: does education offset the risk?. Social Science & Medicine. 2015;127:150-8. doi:10.1016/j.socscimed.2014.09.009.

I

Rehkopf DH, Adler NE, Rowe J. The impact of health and education on future labour force participation among individuals aged 55–74 in the United States of America: the MacArthur Foundation Research Network on an Aging Society. Ageing and Society. 2017;37(07):1313-1337. doi:10.1017/S0144686X16000295.

M

Seligman B, Tuljapurkar S, Rehkopf DH. Machine learning approaches to the social determinants of health in the Health and Retirement study. SSM Popul Health. 2018;4:95-99. doi:10.1016/j.ssmph.2017.11.008.
http://www.ncbi.nlm.nih.gov/pubmed/29349278?dopt=Abstract

P

Bernstein SFae, Rehkopf DH, Tuljapurkar S, Horvitz CC. Poverty dynamics, poverty thresholds and mortality: An age-stage Markovian model. Komarova NL, ed. PLOS ONE. 2018;13(5):e0195734. doi:10.1371/journal.pone.0195734.

R

Hamad R, Tuljapurkar S, Rehkopf DH. Racial and Socioeconomic Variation in Genetic Markers of Telomere Length: A Cross-Sectional Study of U.S. Older Adults. EBioMedicine. 2016:296-301. doi:10.1016/j.ebiom.2016.08.015.

T

Hamad R, Walter S, Rehkopf DH. Telomere length and health outcomes: A two-sample genetic instrumental variables analysis. Experimental gerontology. 2016;82:88-94. doi:10.1016/j.exger.2016.06.005.