HRS Bibliography

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Assari S. Baseline body mass predicts average depressive symptoms over the next two decades for white but not black older adults. Geriatrics (Basel). 2019;4(1). doi:10.3390/geriatrics4010014.
http://www.ncbi.nlm.nih.gov/pubmed/31023982?dopt=Abstract
Lankarani MM, Assari S. Baseline Depressive Symptoms Predict Subsequent Heart Disease; A 20-Year Cohort. International Cardiovascular Research Journal. 2016;10(1):29-34. doi:10.17795/icrj-10(1)29.
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
Apicella G, De Giorgi EG. A behavioural gap in survival beliefs.; 2021. doi:10.2139/ssrn.3821595.
Andrea SB, Eisenberg-Guyot J, Oddo VM, Peckham T, Jacoby D, Hajat A. Beyond Hours Worked and Dollars Earned: Multidimensional EQ, Retirement Trajectories and Health in Later Life. Work Aging and Retirement. 2022;8(1):51-73. doi:10.1093/workar/waab012.
Lee G, Arieli R, Ryou YJi, Martin P. The bidirectional relationship between depressive symptoms and functional limitations among centenarian survivors in their 80s: Testing bivariate latent change score models. Aging Ment Health. 2023:1-9. doi:10.1080/13607863.2023.2177830.
Lorenz R, Auerbach S, Chang Y-P. Binge Drinking, Depressive Symptoms, and Sleep Health in Middle-Aged and Older Adults. Innovation in Aging. 2020;4:425-425. doi:10.1093/geroni/igaa057.1373.
Sathyan S, Ayers E, Adhikari D, et al. Biological Age Acceleration and Motoric Cognitive Risk Syndrome. Ann Neurol. 2023. doi:10.1002/ana.26624.
Sathyan S, Ayers E, Adhikari D, et al. Biological Age Acceleration and Motoric Cognitive Risk Syndrome. Ann Neurol. 2023. doi:10.1002/ana.26624.
Noppert GA, Duchowny KA, Stebbins R, Aiello AE, Dowd JB, Clarke P. Biological expressions of early life trauma in the immune system of older adults. PLoS One. 2023;18(6):e0286141. doi:10.1371/journal.pone.0286141.
http://www.ncbi.nlm.nih.gov/pubmed/37343002?dopt=Abstract
García C, Ailshire JA. Biological risk profiles among Latino subgroups in the Health and Retirement Study. Innovation in Aging. 2019;3(2):igz017. doi:10.1093/geroni/igz017.
http://www.ncbi.nlm.nih.gov/pubmed/31276052?dopt=Abstract
Assari S. Black Americans' Diminished Health Returns of Professional Occupations: A Thirty-Year Follow-Up Study of Middle-Aged and Older Adults. Journal of Racial and Ethnic Health Disparities. Forthcoming. doi:10.1007/s40615-024-02034-9.
Avellar SA. Black-White Mental and Physical Well-Being Following Divorce. 2004.
Walsemann KM, Kerr EM, Ailshire JA, Herd P. Black-White variation in the relationship between early educational experiences and trajectories of cognitive function among US-born older adults. SSM - Population Health. 2022;19:101184. doi:10.1016/j.ssmph.2022.101184.
Walsemann KM, Ailshire JA. BMI Trajectories During the Transition to Older Adulthood: Persistent, Widening, or Diminishing Disparities by Ethnicity and Education?. Res Aging. 2011;33(3):286-311. doi:10.1177/0164027511399104.
http://www.ncbi.nlm.nih.gov/pubmed/30089935?dopt=Abstract
Zajacova A, Ailshire JA. Body Mass Trajectories and Mortality Among Older Adults: A Joint Growth MixtureDiscrete-Time Survival Analysis. Gerontologist. 2014;54(2):221-231. doi:10.1093/geront/gns164.
Xiang X, An R. Body weight status and onset of cognitive impairment among US middle-aged and older adults. Archives of Gerontology and Geriatrics. 2015;60(3):394-400. doi:10.1016/j.archger.2015.02.008.
An R, Shi Y. Body weight status and onset of functional limitations in U.S. middle-aged and older adults. Disability and Health Journal. 2015;8(3):336-344. doi:10.1016/j.dhjo.2015.02.003.
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
Degenholtz HB, Rhee YJ, Arnold RM. Brief communication: the relationship between having a living will and dying in place. Ann Intern Med. 2004;141(2):113-7. doi:10.7326/0003-4819-141-2-200407200-00009.
http://www.ncbi.nlm.nih.gov/pubmed/15262666?dopt=Abstract
Brown RT, Komaiko KD, Shi Y, et al. Bringing functional status into a big data world: Validation of national Veterans Affairs functional status data. Hernandez-Boussard T, ed. PLoS One. 2017;12(6):e0178726. doi:10.1371/journal.pone.0178726 Free full text.
Abbas M, Reich AJane, Wang Y, et al. The burden of pre-admission pain, depression, and caregiving on palliative care needs for seriously ill trauma patients. J Am Geriatr Soc. 2023. doi:10.1111/jgs.18289.

C

Angrisani M. Can Internet Match High-quality Traditional Surveys? Comparing the Health and Retirement Study and its Online Version. In: Brian F, ed. The Econometrics of Complex Survey Data. Vol. 39. The Econometrics of Complex Survey Data. Emerald Publishing Limited; 2019:3 - 33.