HRS Bibliography

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Journal Article

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
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.
Sonnega A, Al-Hinai M, Chen Q, Helppie-McFall B, Smith J. Can Retrospective Reports Provide Accurate Job History Information? A Comparison with Concurrent Reports in a National Prospective Study of Older Adults. Innovation in Aging. Forthcoming. doi:10.1093/geroni/igae021.
M. Glymour M, Avendano M. Can self-reported strokes be used to study stroke incidence and risk factors?: evidence from the health and retirement study. Stroke. 2009;40(3):873-9. doi:10.1161/STROKEAHA.108.529479.
http://www.ncbi.nlm.nih.gov/pubmed/19150869?dopt=Abstract
Wu Q, Crimmins EM, Ailshire JA, Kim JK, Zhao E. Cardiometabolic Risk and Biomarker Trajectories Among Older Adults: Findings From the Health and Retirement Study. Innovation in Aging. 2020;4(Supplement_1):429 . doi:https://doi.org/10.1093/geroni/igaa057.1386.
Wu Q, Ailshire JA, Kim JK, Crimmins EM. Cardiometabolic Risk Trajectory among Older Americans: Findings from the Health and Retirement Study. The Journals of Gerontology, Series A. 2021;76(12):2265-2274. doi:10.1093/gerona/glab205.
Ribero VAponte, Alwan H, Efthimiou O, et al. Cardiovascular disease and type 2 diabetes in older adults: a combined protocol for an individual participant data analysis for risk prediction and a network meta-analysis of novel anti-diabetic drugs. medRxiv. 2023. doi:10.1101/2023.03.13.23287105.
Ribero VAponte, Alwan H, Efthimiou O, et al. Cardiovascular disease and type 2 diabetes in older adults: a combined protocol for an individual participant data analysis for risk prediction and a network meta-analysis of novel anti-diabetic drugs. medRxiv. 2023. doi:10.1101/2023.03.13.23287105.
Turvey CL, Schultz SK, Arndt S, Ellingrod V, Wallace RB, Herzog AR. Caregiver report of hallucinations and paranoid delusions in elders aged 70 or older. Int Psychogeriatr. 2001;13(2):241-9. doi:10.1017/s1041610201007621.
http://www.ncbi.nlm.nih.gov/pubmed/11495398?dopt=Abstract
Amirkhanyan AA, Wolf DA. Caregiver stress and noncaregiver stress: exploring the pathways of psychiatric morbidity. Gerontologist. 2003;43(6):817-27. doi:10.1093/geront/43.6.817.
http://www.ncbi.nlm.nih.gov/pubmed/14704381?dopt=Abstract
Ankuda CK, Levine DA, Langa KM, Ornstein KA, Kelley A. Caregiving, recovery, and death after incident ADL/IADL disability among older adults in the United States. Journal of Applied Gerontology. 2020;39(4). doi:10.1177/0733464819826842.
George CJ, Hall CB, Weiss EF, Verghese J, Neptune E, Abadir P. Centrally Acting ACE Inhibitor Use and Physical Performance in Older Adults. J Frailty Aging. 2023;12(2):103-108. doi:10.14283/jfa.2023.10.
Mitchell UA, Ailshire JA, Crimmins EM. Change in cardiometabolic risk among blacks, whites and Hispanics: findings from the Health and Retirement Study. The Journals of Gerontology: Series A. 2019;74(2):240-246. doi:10.1093/gerona/gly026.
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