HRS Bibliography

Bibliography Search
Export 1246 results:
Filters: First Letter Of Last Name is R  [Clear All Filters]

2019

Clouston SAP, Smith DM, Mukherjee S, et al. Education and cognitive decline: An integrative analysis of global longitudinal studies of cognitive aging. Journals of Gerontology, Series B: Psychological Sciences & Social Sciences. 2019. doi:10.1093/geronb/gbz053.
Hamad R, Nguyen TT, Bhattacharya J, M. Glymour M, Rehkopf D. 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
Patel PC, Rietveld CA. Effect of genetic propensity for obesity on income and wealth through educational attainment. Obesity (Silver Spring). 2019. doi:10.1002/oby.22528.
http://www.ncbi.nlm.nih.gov/pubmed/31199061?dopt=Abstract
Ornstein KA, Garrido MM, Siu AL, Bollens-Lund E, Rahman O-K, Kelley A. An examination of downstream effects of bereavement on healthcare utilization for surviving spouses in a national sample of older adults. Pharmacoeconomics. 2019;37(4):585-596. doi:10.1007/s40273-019-00787-4.
http://www.ncbi.nlm.nih.gov/pubmed/30864065?dopt=Abstract
Brazel DM, Jiang Y, Hughey JM, et al. Exome Chip Meta-analysis Fine Maps Causal Variants and Elucidates the Genetic Architecture of Rare Coding Variants in Smoking and Alcohol Use. Biological Psychiatry. 2019;85(11):946-955. doi:10.1016/j.biopsych.2018.11.024.
Brazel DM, Jiang Y, Hughey JM, et al. Exome Chip Meta-analysis Fine Maps Causal Variants and Elucidates the Genetic Architecture of Rare Coding Variants in Smoking and Alcohol Use. Biological Psychiatry. 2019;85(11):946-955. doi:10.1016/j.biopsych.2018.11.024.
Brazel DM, Jiang Y, Hughey JM, et al. Exome Chip Meta-analysis Fine Maps Causal Variants and Elucidates the Genetic Architecture of Rare Coding Variants in Smoking and Alcohol Use. Biological Psychiatry. 2019;85(11):946-955. doi:10.1016/j.biopsych.2018.11.024.
Haines L, Rahman O-K, Sanders JJ, Johnson KJ, Kelley A. Factors that impact family perception of goal-concordant care at the end of life. Journal of Palliative Medicine. 2019. doi:10.1089/jpm.2018.0508.
http://www.ncbi.nlm.nih.gov/pubmed/30758243?dopt=Abstract
Marshall GL, Bryson W, Ronstant O, Canham SL. Gender differences in the association between modifiable risk factors and financial hardship among middle-aged and older adults. Preventative Medicine Reports. 2019;16:100962. doi:10.1016/j.pmedr.2019.100962.
http://www.ncbi.nlm.nih.gov/pubmed/31453074?dopt=Abstract
McGrath RP, Robinson-Lane SG, Cook S, et al. Handgrip strength is associated with poorer cognitive functioning in aging Americans. Journal of Alzheimer's Disease. 2019. doi:10.3233/JAD-190042.
http://www.ncbi.nlm.nih.gov/pubmed/31322562?dopt=Abstract
Greenhalgh-Stanley N, C. Reynolds L. Housing Wealth, Bequests, and the Elderly . Pittsburgh, PA: American Economic Association; 2019.
Rutledge MS, Zulkarnain A, King SEllen. How Does Contingent Work Affect SSDI Benefits?. Center for Retirement Research at Boston College; 2019.
Armour P, Hurd MD, Rohwedder S. How Reliant are Older Americans on State and Local Government Pensions?.; 2019.PDF icon wp399.pdf (685.16 KB)
Bishop NJ, Zuniga KE, Ramirez CM. Latent profile analysis of dietary intake in a community-dwelling sample of older Americans. Public Health Nutrition. 2019. doi:10.1017/S1368980019001496.
http://www.ncbi.nlm.nih.gov/pubmed/31248470?dopt=Abstract
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
McGrath RP, Vincent B, Hackney KJ, Robinson-Lane SG, Downer B, Clark BC. The Longitudinal Associations of Handgrip Strength and Cognitive Function in Aging Americans. Journal of the American Medical Directors Association. 2019. doi:https://doi.org/10.1016/j.jamda.2019.08.032.
Baidwan NKaur, Gerberich SGoodwin, Kim H, Ryan AD, Church T, Capistrant BD. A longitudinal study of work-related psychosocial factors and injuries: Implications for the aging United States workforce. American Journal of Industrial Medicine. 2019;62(3):212-221. doi:10.1002/ajim.22945.
http://www.ncbi.nlm.nih.gov/pubmed/30675734?dopt=Abstract
Recksiedler C, Stawski RS. Marital Transitions and Depressive Symptoms among Older Adults: Examining Educational Differences. Gerontology. 2019. doi:10.1159/000493681.
http://www.ncbi.nlm.nih.gov/pubmed/30481757?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
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
Kilpeläinen TO, Bentley AR, Noordam R, et al. Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity. Nature Communications. 2019;10(1):376. doi:10.1038/s41467-018-08008-w.
Kilpeläinen TO, Bentley AR, Noordam R, et al. Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity. Nature Communications. 2019;10(1):376. doi:10.1038/s41467-018-08008-w.
Kilpeläinen TO, Bentley AR, Noordam R, et al. Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity. Nature Communications. 2019;10(1):376. doi:10.1038/s41467-018-08008-w.