HRS Bibliography

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Journal Article

Espeland MA, Crimmins EM, Grossardt BR, et al. Clinical Trials Targeting Aging and Age-Related Multimorbidity. The Journals of Gerontology Series A: Biological Sciences and Medical Sciences. 2017;72(3):355-361. doi:10.1093/gerona/glw220.
Espeland MA, Crimmins EM, Grossardt BR, et al. Clinical Trials Targeting Aging and Age-Related Multimorbidity. The Journals of Gerontology Series A: Biological Sciences and Medical Sciences. 2017;72(3):355-361. doi:10.1093/gerona/glw220.
Tang N. Cognitive abilities, self-efficacy, and financial behavior. Journal of Economic Psychology. 2021;87:102447. doi:10.1016/j.joep.2021.102447.
Lee JHyun, Luchetti M, Aschwanden D, et al. Cognitive Impairment and the Trajectory of Loneliness in Older Adulthood: Evidence from the Health and Retirement Study. Journal of Aging and Health. 2022;34(1):3-13. doi:10.1177/08982643211019500.
Kaufmann CN, Bondi MW, Thompson WK, Spira AP, Ancoli-Israel S, Malhotra AK. Cognitive Performance Trajectories Before and After Sleep Treatment Initiation in Middle-Aged and Older Adults: Results from the Health and Retirement Study. The Journals of Gerontology: Series A . 2022;77(3):570-578. doi:10.1093/gerona/glab164.
Sanchez-Niubo A, Egea-Cortés L, Olaya B, et al. Cohort Profile: The Ageing Trajectories of Health - Longitudinal Opportunities and Synergies (ATHLOS) project. International Journal of Epidemiology. 2019;48(4):1052-1053i. doi:10.1093/ije/dyz077.
Sanchez-Niubo A, Egea-Cortés L, Olaya B, et al. Cohort Profile: The Ageing Trajectories of Health - Longitudinal Opportunities and Synergies (ATHLOS) project. International Journal of Epidemiology. 2019;48(4):1052-1053i. doi:10.1093/ije/dyz077.
Vivek S, Thyagarajan B, Nelson HHammond, Prizment A, Crimmins EM, Faul J. COMBINED EFFECT OF CMV SEROPOSITIVITY AND SYSTEMIC INFLAMMATION ON DEMENTIA PREVALENCE IN CANCER SURVIVORS. Innovation in Aging. 2019;3:S461-S461. doi:10.1093/geroni/igz038.1724.
Wang H, Nandakumar P, Tekola-Ayele F, et al. Combined linkage and association analysis identifies rare and low frequency variants for blood pressure at 1q31. European Journal of Human Genetics. 2019;27(2):269-277. doi:10.1038/s41431-018-0277-1.
Wang H, Nandakumar P, Tekola-Ayele F, et al. Combined linkage and association analysis identifies rare and low frequency variants for blood pressure at 1q31. European Journal of Human Genetics. 2019;27(2):269-277. doi:10.1038/s41431-018-0277-1.
Wu B, Tchetgen EJTchetgen, Osypuk TL, White K, Mujahid M, M. Glymour M. Combining direct and proxy assessments to reduce attrition bias in a longitudinal study. Alzheimer Dis Assoc Disord. 2013;27(3):207-12. doi:10.1097/WAD.0b013e31826cfe90.
http://www.ncbi.nlm.nih.gov/pubmed/22992720?dopt=Abstract
Cummings JR, Mason AE, Puterman E, A Tomiyama J. Comfort Eating and All-Cause Mortality in the US Health and Retirement Study. International Journal of Behavioral Medicine. 2018;25(4):473-478. doi:10.1007/s12529-017-9706-8.
http://www.ncbi.nlm.nih.gov/pubmed/29243156?dopt=Abstract
Rietveld CA, Esko T, Davies G, et al. Common genetic variants associated with cognitive performance identified using the proxy-phenotype method. Proc Natl Acad Sci U S A. 2014;111(38):13790-4. doi:10.1073/pnas.1404623111.
http://www.ncbi.nlm.nih.gov/pubmed/25201988?dopt=Abstract
Rietveld CA, Esko T, Davies G, et al. Common genetic variants associated with cognitive performance identified using the proxy-phenotype method. Proc Natl Acad Sci U S A. 2014;111(38):13790-4. doi:10.1073/pnas.1404623111.
http://www.ncbi.nlm.nih.gov/pubmed/25201988?dopt=Abstract
Rietveld CA, Esko T, Davies G, et al. Common genetic variants associated with cognitive performance identified using the proxy-phenotype method. Proc Natl Acad Sci U S A. 2014;111(38):13790-4. doi:10.1073/pnas.1404623111.
http://www.ncbi.nlm.nih.gov/pubmed/25201988?dopt=Abstract
Rietveld CA, Esko T, Davies G, et al. Common genetic variants associated with cognitive performance identified using the proxy-phenotype method. Proc Natl Acad Sci U S A. 2014;111(38):13790-4. doi:10.1073/pnas.1404623111.
http://www.ncbi.nlm.nih.gov/pubmed/25201988?dopt=Abstract
Nguyen TT, Tchetgen Tchetgen EJ, Kawachi I, Gilman SE, Walter S, M. Glymour M. Comparing Alternative Effect Decomposition Methods: The Role of Literacy in Mediating Educational Effects on Mortality. Epidemiology. 2016;27(5):670-6. doi:10.1097/EDE.0000000000000517.
http://www.ncbi.nlm.nih.gov/pubmed/27280331?dopt=Abstract
Cigolle CT, Ofstedal MBeth, Tian Z, Blaum CS. Comparing models of frailty: the Health and Retirement Study. J Am Geriatr Soc. 2009;57(5):830-9. doi:10.1111/j.1532-5415.2009.02225.x.
http://www.ncbi.nlm.nih.gov/pubmed/19453306?dopt=Abstract
Clark DO, Stump TE, Tu W, Miller DK. A comparison and cross-validation of models to predict basic activity of daily living dependency in older adults. Medical Care. 2012;50(6):534-9. doi:10.1097/MLR.0b013e318245a50c.
http://www.ncbi.nlm.nih.gov/pubmed/22581013?dopt=Abstract
Gotanda H, Nuckols TK, Lauzon M, Tsugawa Y. Comparison of Advance Care Planning and End-of-Life Care Intensity Between Dementia Versus Cancer Patients. Journal of General Internal Medicine. Forthcoming. doi:10.1007/s11606-021-07330-2.
Hernandez B, Voll S, Lewis NA, et al. Comparisons of disease cluster patterns, prevalence and health factors in the USA, Canada, England and Ireland. BMC Public Health. 2021;21(1):1674. doi:10.1186/s12889-021-11706-8.
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
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