HRS Bibliography

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Journal Article

Zhao H, Andreyeva T, Sun X. Food Security and Health Outcomes following Gray Divorce. Nutrients. 2024;16(5). doi:10.3390/nu16050633.
Mahmood A, Kedia S, Dillon P, kim H, Arshad H, Ray M. Food security status and breast cancer screening among women in the United States: Evidence from Health and Retirement Study and Health Care and Nutrition Study. Research Square. 2023. doi:10.21203/rs.3.rs-176608/v1.
Mekli K, Stevens A, Marshall A, et al. Frailty Index associates with GRIN2B in two representative samples from the United States and the United Kingdom. PLoS One. 2018;13(11):e0207824. doi:10.1371/journal.pone.0207824.
Azar A, Staudinger UM, Slachevsky A, Madero-Cabib I, Calvo E. From Snapshots to Movies: The Association Between Retirement Sequences and Aging Trajectories in Limitations to Perform Activities of Daily Living. Journal of Aging and Health. 2019;31(2):293-321. doi:10.1177/0898264318782096.
http://www.ncbi.nlm.nih.gov/pubmed/29952242?dopt=Abstract
Suwanabol PA, Li Y, Abrahamse P, et al. Functional and Cognitive Decline Among Older Adults After High-risk Surgery. Annals of Surgery. 2022;275(1):e132-e139. doi:10.1097/SLA.0000000000003950.
S. Greysen R, Cenzer I, Auerbach AD, Covinsky KE. Functional impairment and hospital readmission in Medicare seniors. JAMA Intern Med. 2015;175(4):559-65. doi:10.1001/jamainternmed.2014.7756.
http://www.ncbi.nlm.nih.gov/pubmed/25642907?dopt=Abstract
Burns SD, Ailshire JA, Crimmins EM. Functional limitation among middle age and older adults: Exploring cross-national gender disparities. Archives of Gerontology Geriatrics. Forthcoming;123:105410. doi:10.1016/j.archger.2024.105410.
J. Andrews S, Desai U, Kirson NY, et al. Functional limitations and health care resource utilization for individuals with cognitive impairment without dementia: Findings from a United States population-based survey. Alzheimer's & Dementia. 2017;6:65-74. doi:10.1016/j.dadm.2016.11.005.
Steinman BA, Allen SM, Chen J, Pynoos J. Functional Limitations as Potential Mediators of the Effects of Self-Reported Vision Status on Fall Risk of Older Adults. Journal of Aging and Health. 2015;27(1):158-76. doi:10.1177/0898264314543473.
Assari S, Dejman M. Gender, depressive symptoms, chronic medical conditions, and time to first psychiatric diagnosis among American older adults. International Journal of Preventive Medicine. 2019;10. doi:10.4103/ijpvm.IJPVM_333_15.
Casanova M, Aguila E. Gender Differences in Cognitive Function among Older Mexican Immigrants. The Journal of the Economics of Ageing. 2020;16. doi:https://doi.org/10.1016/j.jeoa.2019.100226.
Mudrazija S, Thomeer MBeth, Angel JL. Gender Differences in Institutional Long-Term Care Transitions. Womens Health Issues. 2015;25(5):441-9. doi:10.1016/j.whi.2015.04.010.
http://www.ncbi.nlm.nih.gov/pubmed/26123639?dopt=Abstract
Lee JJ, Wedow R, Okbay A, et al. Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals. Nature Genetics. 2018;50(8):1112-1121. doi:10.1038/s41588-018-0147-3.
http://www.ncbi.nlm.nih.gov/pubmed/30038396?dopt=Abstract
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
Fuentes Lde Las, Sung YJu, Noordam R, et al. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol Psychiatry. 2021;26(6):2111-2125. doi:10.1038/s41380-020-0719-3.
Fuentes Lde Las, Sung YJu, Noordam R, et al. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol Psychiatry. 2021;26(6):2111-2125. doi:10.1038/s41380-020-0719-3.
Fuentes Lde Las, Sung YJu, Noordam R, et al. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol Psychiatry. 2021;26(6):2111-2125. doi:10.1038/s41380-020-0719-3.
Fuentes Lde Las, Sung YJu, Noordam R, et al. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol Psychiatry. 2021;26(6):2111-2125. doi:10.1038/s41380-020-0719-3.
Fuentes Lde Las, Sung YJu, Noordam R, et al. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol Psychiatry. 2021;26(6):2111-2125. doi:10.1038/s41380-020-0719-3.
M. Islam A, Alzaid AA, Chowdhury RI, Sultan KS. A generalized bivariate Bernoulli model with covariate dependence. Journal of Applied Statistics. 2013;40:1064-1075. doi:10.1080/02664763.2013.780156.
Ejima K, Pavela G, Li P, Allison DB. Generalized lambda distribution for flexibly testing differences beyond the mean in the distribution of a dependent variable such as body mass index. International Journal of Obesity. 2018;42(4):930-933. doi:10.1038/ijo.2017.262.
Kulminski AM, Shu L, Loika Y, et al. Genetic and regulatory architecture of Alzheimer's disease in the APOE region. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring. 2020;12:e12008. doi:https://doi.org/10.1002/dad2.12008.
Pattaro C, Teumer A, Gorski M, et al. Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function. Nat Commun. 2016;7:10023. doi:10.1038/ncomms10023.
http://www.ncbi.nlm.nih.gov/pubmed/26831199?dopt=Abstract
Pattaro C, Teumer A, Gorski M, et al. Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function. Nat Commun. 2016;7:10023. doi:10.1038/ncomms10023.
http://www.ncbi.nlm.nih.gov/pubmed/26831199?dopt=Abstract
Pattaro C, Teumer A, Gorski M, et al. Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function. Nat Commun. 2016;7:10023. doi:10.1038/ncomms10023.
http://www.ncbi.nlm.nih.gov/pubmed/26831199?dopt=Abstract