HRS Bibliography

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2019

McCammon RJ, Fisher GG, Hassan H, Faul JD, Rogers W, Weir DR. Health and Retirement Study Imputation of Cognitive Functioning Measures: 1992-2016. Ann Arbor, Michigan: Survey Research Center, University of Michigan; 2019.PDF icon COGIMP9216_dd.pdf (513.01 KB)
Deelen J, Evans DS, Arking DE, et al. A meta-analysis of genome-wide association studies identifies multiple longevity genes. Nature Communications. 2019;10(1):3669. doi:10.1038/s41467-019-11558-2.
http://www.ncbi.nlm.nih.gov/pubmed/31413261?dopt=Abstract
Deelen J, Evans DS, Arking DE, et al. A meta-analysis of genome-wide association studies identifies multiple longevity genes. Nature Communications. 2019;10(1):3669. doi:10.1038/s41467-019-11558-2.
http://www.ncbi.nlm.nih.gov/pubmed/31413261?dopt=Abstract
Deelen J, Evans DS, Arking DE, et al. A meta-analysis of genome-wide association studies identifies multiple longevity genes. Nature Communications. 2019;10(1):3669. doi:10.1038/s41467-019-11558-2.
http://www.ncbi.nlm.nih.gov/pubmed/31413261?dopt=Abstract
Jadhav A, Weir DR. Widowhood and Depression in a Cross-National Perspective: Evidence from the United States, Europe, Korea, and China. The Journals of Gerontology: Series B. 2019;73(8):e143-e153. doi:10.1093/geronb/gbx021.

2018

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.
Weir DR, Waite LJ, Wong R, Freedman VA. New Measures and New Designs in Demography of Aging Research. In: Future Directions for the Demography of Aging: Proceedings of a Workshop . Future Directions for the Demography of Aging: Proceedings of a Workshop . Washington, DC: The National Academies Press; 2018:371-396. doi:https://doi.org/10.17226/25064.
Weir DR, Waite LJ, Wong R, Freedman VA. New Measures and New Designs in Demography of Aging Research. In: Future Directions for the Demography of Aging: Proceedings of a Workshop . Future Directions for the Demography of Aging: Proceedings of a Workshop . Washington, DC: The National Academies Press; 2018:371-396. doi:https://doi.org/10.17226/25064.
Weir DR, Waite LJ, Wong R, Freedman VA. New Measures and New Designs in Demography of Aging Research. In: Future Directions for the Demography of Aging: Proceedings of a Workshop . Future Directions for the Demography of Aging: Proceedings of a Workshop . Washington, DC: The National Academies Press; 2018:371-396. doi:https://doi.org/10.17226/25064.

2017

Langa KM, Larson EB, Crimmins EM, et al. A Comparison of the Prevalence of Dementia in the United States in 2000 and 2012. JAMA Intern Med. 2017;177(1):51-58. doi:10.1001/jamainternmed.2016.6807.
http://www.ncbi.nlm.nih.gov/pubmed/27893041?dopt=Abstract
Ben-Avraham D, Karasik D, Verghese J, et al. The complex genetics of gait speed: genome-wide meta-analysis approach. Aging (Albany NY). 2017;9(1):209-246. doi:10.18632/aging.101151.
http://www.ncbi.nlm.nih.gov/pubmed/28077804?dopt=Abstract
Ben-Avraham D, Karasik D, Verghese J, et al. The complex genetics of gait speed: genome-wide meta-analysis approach. Aging (Albany NY). 2017;9(1):209-246. doi:10.18632/aging.101151.
http://www.ncbi.nlm.nih.gov/pubmed/28077804?dopt=Abstract
Ben-Avraham D, Karasik D, Verghese J, et al. The complex genetics of gait speed: genome-wide meta-analysis approach. Aging (Albany NY). 2017;9(1):209-246. doi:10.18632/aging.101151.
http://www.ncbi.nlm.nih.gov/pubmed/28077804?dopt=Abstract
Levine ME, Crimmins EM, Weir DR, Cole SW. Contemporaneous Social Environment and the Architecture of Late-Life Gene Expression Profiles. American Journal of Epidemiology. 2017;186(5):503-509. doi:10.1093/aje/kwx147.
http://www.ncbi.nlm.nih.gov/pubmed/28911009?dopt=Abstract
Crimmins EM, Faul JD, Kim JKi, Weir DR. Documentation of Blood-Based Biomarkers in the 2014 Health and Retirement Study. Ann Arbor, MI: Survey Research Center, Institute for Social Research, University of Michigan; 2017.PDF icon Download PDF (247.04 KB)
Zhao W, Yasutake K, August C, et al. Gene-by-Psychosocial Factor Interactions Influence Diastolic Blood Pressure in European and African Ancestry Populations: Meta-Analysis of Four Cohort Studies. Int J Environ Res Public Health. 2017;14(12). doi:10.3390/ijerph14121596.
http://www.ncbi.nlm.nih.gov/pubmed/29258278?dopt=Abstract
Weir DR. HRS Institutional Review Board Information. Ann Arbor, MI: Survey Research Center, Institute for Social Research, University of Michigan; 2017.PDF icon PDF Download (87.78 KB)
Smith J, Ryan LH, Fisher GG, Sonnega A, Weir DR. HRS Psychosocial and Lifestyle Questionnaire 2006-2016. Ann Arbor, Michigan: Survey Research Center, Institute for Social Research, University of Michigan; 2017.
Please note that this replaces an earlier version of this report.
PDF icon Download PDF (638.16 KB)