HRS Bibliography

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Muramatsu N, Campbell RT, Hoyem RL, Jacob MA, Ross C, yin H. Family Care, Nursing Home Transitions, and States' Long-Term Care Policies. University of Illinois-Chicago; 2004.
Ramanan VK, Nho K, Shen L, et al. FASTKD2 is associated with memory and hippocampal structure in older adults. Mol Psychiatry. 2015;20(10):1197-204. doi:10.1038/mp.2014.142.
http://www.ncbi.nlm.nih.gov/pubmed/25385369?dopt=Abstract
Liu H, Wang Z, Zou L, et al. Favourable Lifestyle Protects Cognitive Function in Older Adults With High Genetic Risk of Obesity: A Prospective Cohort Study. Frontiers in Molecular Neuroscience. 2022;15:808209. doi:10.3389/fnmol.2022.808209.
Xu Y, Yao R. Financial Decision-Making Responsibility and Household Wealth Accumulation Among Older Adults: A Comparative Advantage Perspective. Journal of Financial Counseling and Planning. 2022;33(1):3-23. doi:10.1891/JFCP-19-00075.
Shimizutani S, Yamada H. Financial literacy of middle-aged and older Individuals: Comparison of Japan and the United States. The Journal of the Economics of Ageing. 2019:100214. doi:doi.org/10.1016/j.jeoa.2019.100214.
Yang S, Ripoll M. FINANCIAL TRANSFERS FROM PARENTS TO ADULT CHILDREN.; 2022.
M. Islam A, Chowdhury RI. First and Higher Order Transition Models with Covariate Dependence. In: Yang F, ed. Progress in Applied Mathematical Modeling. Progress in Applied Mathematical Modeling. USA: Nova Science Publishers; 2008:153-96.
Yang J. Formal Volunteering Buffers the Negative Impact of Unemployment among Older Workers: A Longitudinal Analysis. Journal of Gerontological Social Work. 2020:1-20. doi:10.1080/01634372.2020.1744057.
Nothelle S, Yee C, Bollens-Lund E, Covinsky K, Kelley A. Frequency and Implications of Co-occurring Serious Illness in Older Adults (S544). Journal of Pain and Symptom Management. 2022;63(5):930. doi:https://doi.org/10.1016/j.jpainsymman.2022.02.167.
Muramatsu N, yin H, Hedeker D. Functional declines, social support, and mental health in the elderly: does living in a state supportive of home and community-based services make a difference?. Soc Sci Med. 2010;70(7):1050-8. doi:10.1016/j.socscimed.2009.12.005.
http://www.ncbi.nlm.nih.gov/pubmed/20117865?dopt=Abstract
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.

G

Sloan FA, Yashkin AP, Chen Y. Gaps in Receipt of Regular Eye Examinations among Medicare Beneficiaries Diagnosed with Diabetes or Chronic Eye Diseases. Ophthalmology. 2014;121(12):2452-2460. doi:10.1016/j.ophtha.2014.07.020.
Liang J, Bennett JM, Shaw BA, et al. Gender differences in functional status in middle and older age: are there any age variations?. J Gerontol B Psychol Sci Soc Sci. 2008;63(5):S282-92. doi:10.1093/geronb/63.5.s282.
http://www.ncbi.nlm.nih.gov/pubmed/18818448?dopt=Abstract
Yuan J, Sang S, Pham J, Kong W-J. Gender Modifies the Association of Cognition With Age-Related Hearing Impairment in the Health and Retirement Study. Frontiers in Public Health. 2021;9:751828. doi:10.3389/fpubh.2021.751828.
Yuan J, Sang S, Pham J, Kong W-J. Gender Modifies the Association of Cognition With Age-Related Hearing Impairment in the Health and Retirement Study. Frontiers in Public Health. 2021;9:2072. doi:10.3389/fpubh.2021.751828.
Hu M, Yu H, Zhang Y, Xiang B, Wang Q. Gender-specific association of the accumulation of chronic conditions and disability in activities of daily living with depressive symptoms. Archives of Gerontology and Geriatrics. Forthcoming;118:105287. doi:10.1016/j.archger.2023.105287.
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
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.