HRS Bibliography

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Tavares LCamargo, Zheng T, Kwicklis M, et al. A pilot genome-wide association study meta-analysis of gastroparesis. United European Gastroenterol Journal. 2023;11(8):784-796. doi:10.1002/ueg2.12453.
Tavares LCamargo, Zheng T, Kwicklis M, et al. A pilot genome-wide association study meta-analysis of gastroparesis. United European Gastroenterol Journal. 2023;11(8):784-796. doi:10.1002/ueg2.12453.
Clark R, Hammond R, Khalaf C, Morrill M. Planning for retirement? The importance of time preferences. Cambridge, MA: National Bureau of Economic Research; 2017. doi:10.3386/w23501.
Kulminski AM, He L, Culminskaya I, et al. Pleiotropic Associations of Allelic Variants in a 2q22 Region with Risks of Major Human Diseases and Mortality. Barsh GS, ed. PLoS Genet. 2016;12(11):e1006314. doi:10.1371/journal.pgen.1006314.
http://www.ncbi.nlm.nih.gov/pubmed/27832070?dopt=Abstract
Kulminski AM, He L, Culminskaya I, et al. Pleiotropic Associations of Allelic Variants in a 2q22 Region with Risks of Major Human Diseases and Mortality. Barsh GS, ed. PLoS Genet. 2016;12(11):e1006314. doi:10.1371/journal.pgen.1006314.
http://www.ncbi.nlm.nih.gov/pubmed/27832070?dopt=Abstract
Kulminski AM, He L, Culminskaya I, et al. Pleiotropic Associations of Allelic Variants in a 2q22 Region with Risks of Major Human Diseases and Mortality. Barsh GS, ed. PLoS Genet. 2016;12(11):e1006314. doi:10.1371/journal.pgen.1006314.
http://www.ncbi.nlm.nih.gov/pubmed/27832070?dopt=Abstract
Kulminski AM, Kang C, Kolpakov SA, et al. Polygenic risk score for disability and insights into disability-related molecular mechanisms. GeroScience. 2019. doi:10.1007/s11357-019-00125-8.
Kulminski AM, Kang C, Kolpakov SA, et al. Polygenic risk score for disability and insights into disability-related molecular mechanisms. GeroScience. 2019. doi:10.1007/s11357-019-00125-8.
Kulminski AM, Kang C, Kolpakov SA, et al. Polygenic risk score for disability and insights into disability-related molecular mechanisms. GeroScience. 2019. doi:10.1007/s11357-019-00125-8.
Stephan Y, Sutin AR, Kornadt A, Terracciano A. Polygenic scores for education, health, and personality as predictors of subjective age among older individuals of European ancestry: Evidence from the Health and Retirement Study. Psychology and Aging. 2019;34(1):139-144. doi:10.1037/pag0000283.
http://www.ncbi.nlm.nih.gov/pubmed/30080057?dopt=Abstract
Kabuche D, Sherris M, Villegas AM, Ziveyi J. Pooling functional disability and mortality in long-term care insurance and care annuities: A matrix approach for multi-state pools. Insurance: Mathematics and Economics. 2024;116:165 – 188. doi:10.1016/j.insmatheco.2024.02.006.
Hong JH, Lachman ME, Charles ST, et al. The positive influence of sense of control on physical, behavioral, and psychosocial health in older adults: An outcome-wide approach. Preventative Medicine. 2021;149:106612. doi:10.1016/j.ypmed.2021.106612.
Sun JK, Kim ES, Smith J. Positive Self-Perceptions of Aging and Lower Rate of Overnight Hospitalization in the US Population Over Age 50. Psychosom Med. 2017;79(1):81-90. doi:10.1097/PSY.0000000000000364.
http://www.ncbi.nlm.nih.gov/pubmed/27359184?dopt=Abstract
Cho J, Kim BR, Park SJung, Jang J. Postretirement work and volunteering by poverty groups informed by role theory. Journal of Gerontological Social Work. 2018;61(3):243-260. doi:10.1080/01634372.2017.1416719.
http://www.ncbi.nlm.nih.gov/pubmed/29236613?dopt=Abstract
Zwar L, König H-H, Hajek A. The Potential of Informal Care for Self-Perceptions of Aging Among Older Community-Dwelling Adults: Longitudinal Findings From the Health and Retirement Study. Journal of Applied Gerontology, Series B, Psychological Sciences and social sciences. 2024;79(3). doi:10.1093/geronb/gbad189.
Gawronski KAB, Kim ES, Miller LE. Potentially traumatic events and serious life stressors are prospectively associated with frequency of doctor visits and overnight hospital visits. Journal of Psychosomatic Research. 2014;77(2):90-96. doi:10.1016/j.jpsychores.2014.05.009.
Bernstein SFae, Rehkopf D, Tuljapurkar S, Horvitz CC. Poverty dynamics, poverty thresholds and mortality: An age-stage Markovian model. Komarova NL, ed. PLOS ONE. 2018;13(5):e0195734. doi:10.1371/journal.pone.0195734.
Bobo JKay, Greek AA, Klepinger DH, Herting JR. Predicting 10-year alcohol use trajectories among men age 50 years and older. Am J Geriatr Psychiatry. 2013;21(2):204. doi:10.1097/JGP.0b013e3182423b4b.
Aschwanden D, Aichele S, Ghisletta P, et al. Predicting Cognitive Impairment and Dementia: A Machine Learning Approach. Journal of Alzheimer's disease : JAD. 2020;75(3):717-728. doi:10.3233/JAD-190967.
Puterman E, Weiss J, Hives BA, et al. Predicting mortality from 57 economic, behavioral, social, and psychological factors. Proceedings of the National Academy of Sciences. 2020. doi:10.1073/pnas.1918455117.
Banaszak-Holl J, A. Fendrick M, Foster NL, et al. Predicting Nursing Home Admission: Estimates from a seven-year follow-up of a nationally representative sample of older Americans. Alzheimer Disease and Associated Disorders. 2004;18(2):83-89.
Banaszak-Holl J, A. Fendrick M, Foster NL, et al. Predicting Nursing Home Admission: Estimates from a seven-year follow-up of a nationally representative sample of older Americans. Alzheimer Disease and Associated Disorders. 2004;18(2):83-89.
Kennedy S. Predictive Models Flag Need for Nursing Home Care in Dementia Patients.
Cooper Z, Mitchell SL, Gorges RJean, Rosenthal RA, Lipsitz SR, Kelley A. Predictors of Mortality Up to 1 Year After Emergency Major Abdominal Surgery in Older Adults. J Am Geriatr Soc. 2015;63(12):2572-2579. doi:10.1111/jgs.13785.
http://www.ncbi.nlm.nih.gov/pubmed/26661929?dopt=Abstract
Kang C. Predictors of Post-stroke Cognition Among Geriatric Patients: The Role of Demographics, Pre-stroke Cognition, and Trajectories of Depression. Frontiers in Psychology. 2021;12:717817. doi:10.3389/fpsyg.2021.717817.