HRS Bibliography

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2020

Hu P, Lee J, Beaumaster S, et al. Cognitive Function and Cardiometabolic-Inflammatory Risk Factors Among Older Indians and Americans. Journal of the American Geriatrics Society. 2020;68 (Suppl 3):S36-S44. doi:10.1111/jgs.16734.

2019

Langa KM, Ryan LH, McCammon RJ, et al. The Health and Retirement Study Harmonized Cognitive Assessment Protocol Project: Study Design and Methods. Neuroepidemiology. 2019. doi:10.1159/000503004.
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
Jadhav A, Weir DR. Widowhood and Depression in a Cross-National Perspective: Evidence from the United States, Europe, Korea, and China. Journals of Gerontology, Series B. Psychological Sciences and Social Sciences. 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.

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
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)
Domingue BW, Belsky DW, Harrati A, Conley DC, Weir DR, Boardman JD. Mortality selection in a genetic sample and implications for association studies. International Journal of Epidemiolpgy. 2017;46(4). doi:10.1093/ije/dyx041.
Chang VW, Langa KM, Weir DR, Iwashyna TJ. The obesity paradox and incident cardiovascular disease: A population-based study. PLoS One. 2017;12(12):e0188636. doi:10.1371/journal.pone.0188636.
http://www.ncbi.nlm.nih.gov/pubmed/29216243?dopt=Abstract
Crimmins EM, Faul JD, Thyagarajan B, Weir DR. Venous Blood Collection and Assay Protocol in the 2016 Health and Retirement Study. Ann Arbor, Michigan: Survey Research Center, Institute for Social Research, University of Michigan; 2017.PDF icon Download PDF (1.55 MB)

2016

Weir DR, Langa KM, Ryan LH. 2016 Harmonized Cognitive Assessment Protocol (HCAP) Study Protocol Summary. Ann Arbor, MI: Health and Retirement Study, Survey Research Center, Institute for Social Research, University of Michigan; 2016:1-15.PDF icon Download PDF (441.6 KB)
Fang C, Brown C, Weir DR. Cohort Changes in Social Security Benefits and Pension Wealth. Ann Arbor, MI: University of Michigan; 2016.
Weir DR, Ofstedal MBeth. Evaluating Strategies for Reducing Field Costs in a Longitudinal Study. Ann Arbor, MI: Institute for Social Research, University of Michigan; 2016:1-8.PDF icon Download PDF (284.93 KB)
Okbay A, Baselmans BML, De Neve J-E, et al. Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses. Nat Genet. 2016;48(6):624-33. doi:10.1038/ng.3552.
http://www.ncbi.nlm.nih.gov/pubmed/27089181?dopt=Abstract
Barban N, Jansen R, de Vlaming R, et al. Genome-wide analysis identifies 12 loci influencing human reproductive behavior. Nat Genet. 2016;48(12):1462-1472. doi:10.1038/ng.3698.
http://www.ncbi.nlm.nih.gov/pubmed/27798627?dopt=Abstract
Dunn EC, Wiste A, Radmanesh F, et al. GENOME-WIDE ASSOCIATION STUDY (GWAS) AND GENOME-WIDE BY ENVIRONMENT INTERACTION STUDY (GWEIS) OF DEPRESSIVE SYMPTOMS IN AFRICAN AMERICAN AND HISPANIC/LATINA WOMEN. Depress Anxiety. 2016;33(4):265-80. doi:10.1002/da.22484.
http://www.ncbi.nlm.nih.gov/pubmed/27038408?dopt=Abstract
Okbay A, Beauchamp JP, Fontana MAlan, et al. Genome-wide association study identifies 74 loci associated with educational attainment. Nature. 2016;533(7604):539-42. doi:10.1038/nature17671.
http://www.ncbi.nlm.nih.gov/pubmed/27225129?dopt=Abstract