HRS Bibliography

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A

Abeliansky ALucia, Erel D, Strulik H. Aging in the USA: Similarities and disparities across time and space. University of Goettingen (Gottingen); 2019. doi:https://dx.doi.org/10.2139/ssrn.3465597.
Ahn SN, Kim S, Zhang H. Changes in Depressive Symptoms among Older Adults with Multiple Chronic Conditions: Role of Positive and Negative Social Support. Int J Environ Res Public Health. 2016;14(1). doi:10.3390/ijerph14010016.
http://www.ncbi.nlm.nih.gov/pubmed/28035968?dopt=Abstract
Ailshire JA, Osuna M, Wilkens J, Lee J. Family caregiving and place of death: Insights from cross-national analysis of the Harmonized End of Life Data. The Journals of Gerontology: Series B . 2021;76(Supplement_1):S76-S85. doi:10.1093/geronb/gbaa225.
Ailshire JA, Beltrán-Sánchez H, Crimmins EM. Becoming centenarians: disease and functioning trajectories of older US Adults as they survive to 100. J Gerontol A Biol Sci Med Sci. 2015;70(2):193-201. doi:10.1093/gerona/glu124.
http://www.ncbi.nlm.nih.gov/pubmed/25136001?dopt=Abstract
Ailshire JA, Walsemann KM. Education Differences in the Adverse Impact of PM2.5 on Incident Cognitive Impairment Among U.S. Older Adults. Journal of Alzheimer's Disease. 2021;79(2):615-625. doi:10.3233/JAD-200765.
Ajmal A. Factors Associated with Advance Care Plans and End-of-life Care Choices Among Elderly Americans: An Analysis of Health and Retirement Study Data. Health Services and Policy Management. 2019;PhD:236.
Allin S, Masseria C, Mossialos E. Measuring socioeconomic differences in use of health care services by wealth versus by income. Am J Public Health. 2009;99(10):1849-55. doi:10.2105/AJPH.2008.141499.
http://www.ncbi.nlm.nih.gov/pubmed/19150899?dopt=Abstract
An R, Yan H. Body weight status and telomere length in U.S. middle-aged and older adults. Obes Res Clin Pract. 2017;11(1):51-62. doi:10.1016/j.orcp.2016.01.003.
http://www.ncbi.nlm.nih.gov/pubmed/26895795?dopt=Abstract
Aneshensel CS, Ko MJ, Chodosh J, Wight RG. The urban neighborhood and cognitive functioning in late middle age. J Health Soc Behav. 2011;52(2):163-79. doi:10.1177/0022146510393974.
http://www.ncbi.nlm.nih.gov/pubmed/21673145?dopt=Abstract
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.
Ayalon L, Palgi Y, Avidor S, Bodner E. Accelerated increase and decrease in subjective age as a function of changes in loneliness and objective social indicators over a four-year period: results from the health and retirement study. Aging Ment Health. 2016;20(7):743-51. doi:10.1080/13607863.2015.1035696.
http://www.ncbi.nlm.nih.gov/pubmed/25925282?dopt=Abstract
Ayalon L, King-Kallimanis BL. Trading years for perfect health: results from the health and retirement study. J Aging Health. 2010;22(8):1184-97. doi:10.1177/0898264310371980.
http://www.ncbi.nlm.nih.gov/pubmed/20660638?dopt=Abstract
Ayalon L, Shiovitz-Ezra S, Roziner I. A cross-lagged model of the reciprocal associations of loneliness and memory functioning. Psychol Aging. 2016;31(3):255-61. doi:10.1037/pag0000075.
http://www.ncbi.nlm.nih.gov/pubmed/26974589?dopt=Abstract

B

Bakulski KM, Vadari HS, Faul J, et al. Cumulative Genetic Risk and APOE ε4 Are Independently Associated With Dementia Status in a Multiethnic, Population-Based Cohort. Neurology Genetics. 2021;7(2):e576. doi:10.1212/NXG.0000000000000576.
Barban N, De Cao E, Oreffice S, Quintana-Domeque C. Assortative Mating on Education: A Genetic Assessment. Oxford: Department of Economics, University of Oxford; 2016:1-42.
Bartlett BJ. Well-being Across Changing Social Landscapes. Sociology. 2018;PhD:Duke.
Batsis JA, Germain CM, Vasquez E, Bartels SJ. Prevalence of weakness and its relationship with limitations based on the Foundations for the National Institutes for Health project: data from the Health and Retirement Study. Eur J Clin Nutr. 2016;70(10):1168-1173. doi:10.1038/ejcn.2016.90.
http://www.ncbi.nlm.nih.gov/pubmed/27245209?dopt=Abstract
Baughman R, Hurdelbrink J. Utilization of Long-Term Care by an Aging Population. University of New Hampshire ; 2018.
Baumel ZZ. Individual Predictors of Volunteering in Older Adults Using Structural Equation Modeling. Social Gerontology. 2018;PhD:263.
Beard JR, Officer A, de Carvalho IAraujo, et al. The World report on ageing and health: a policy framework for healthy ageing. The Lancet. 2016;387(10033):2145 - 2154. doi:10.1016/S0140-6736(15)00516-4.
Begley J, Chan S. Next to Kin: How Children Influence the Residential Mobility Decisions of Older Adults. The Journal of the Economics of Ageing. 2022;23:100394. doi:https://doi.org/10.1016/j.jeoa.2022.100394.
Bendayan R, Cooper R, Wloch EG, Hofer SM, Piccinin AM, Terrera GMuñiz. Hierarchy and Speed of Loss in Physical Functioning: A Comparison Across Older U.S. and English Men and Women. J Gerontol A Biol Sci Med Sci. 2017;72(8):1117-1122. doi:10.1093/gerona/glw209.
http://www.ncbi.nlm.nih.gov/pubmed/27753610?dopt=Abstract
Bengtson VL, Settersten, Jr. RA. Handbook of Theories of Aging. Third. (Kennedy BK, Morrow-Howell N, Smith J, eds.). New York City, NY: Springer Publishing Company; 2016:752.
Benjamins MReindl. Religion and functional health among the elderly: is there a relationship and is it constant?. J Aging Health. 2004;16(3):355-74. doi:10.1177/0898264304264204.
http://www.ncbi.nlm.nih.gov/pubmed/15155067?dopt=Abstract
Berger S, Porell F. The association between low vision and function. J Aging Health. 2008;20(5):504-25. doi:10.1177/0898264308317534.
http://www.ncbi.nlm.nih.gov/pubmed/18436856?dopt=Abstract