HRS Bibliography

Bibliography Search
Export 1706 results:
Filters: First Letter Of Last Name is K  [Clear All Filters]

B

Powell VD, Kumar N, Galecki AT, et al. Bad company: Loneliness longitudinally predicts the symptom cluster of pain, fatigue, and depression in older adults. Journal of the American Geriatrics Society. 2022;70(8):2225-2234. doi:10.1111/jgs.17796.
Powell VD, Kumar N, Galecki AT, et al. Bad company: Loneliness longitudinally predicts the symptom cluster of pain, fatigue, and depression in older adults. Journal of the American Geriatrics Society. 2022;70(8):2225-2234. doi:10.1111/jgs.17796.
Kedia P, Kundu D, Das K. A Bayesian variable selection approach to longitudinal quantile regression. Statistical Methods & Applications. Forthcoming. doi:10.1007/s10260-022-00645-2.
Kedia P, Kundu D, Das K. A Bayesian variable selection approach to longitudinal quantile regression. Statistical Methods & Applications. Forthcoming. doi:10.1007/s10260-022-00645-2.
Groneck M, Krehl F. Bequests and Informal Long-Term Care: Evidence from the HRS Exit Interviews. Cologne, Germany, University of Cologne; 2014.
Kunde D. The Best of Both Worlds. Chicago Tribune. 2000:1, Zone C.
Kerr EA, Heisler MM, Krein SL, et al. Beyond comorbidity counts: how do comorbidity type and severity influence diabetes patients' treatment priorities and self-management?. J Gen Intern Med. 2007;22(12):1635-40. doi:10.1007/s11606-007-0313-2.
http://www.ncbi.nlm.nih.gov/pubmed/17647065?dopt=Abstract
Kerr EA, Heisler MM, Krein SL, et al. Beyond comorbidity counts: how do comorbidity type and severity influence diabetes patients' treatment priorities and self-management?. J Gen Intern Med. 2007;22(12):1635-40. doi:10.1007/s11606-007-0313-2.
http://www.ncbi.nlm.nih.gov/pubmed/17647065?dopt=Abstract
Kerr EA, Heisler MM, Krein SL, et al. Beyond comorbidity counts: how do comorbidity type and severity influence diabetes patients' treatment priorities and self-management?. J Gen Intern Med. 2007;22(12):1635-40. doi:10.1007/s11606-007-0313-2.
http://www.ncbi.nlm.nih.gov/pubmed/17647065?dopt=Abstract
Dong L, Kalesnikava VA, Gonzalez R, Mezuk B. Beyond Depression: Estimating 12-Months Prevalence of Passive Suicidal Ideation in Mid- and Late-Life in the Health and Retirement Study. The American Journal of Geriatric Psychiatry. 2019:1-12. doi: https://doi.org/10.1016/j.jagp.2019.06.015.
Koss CS. Beyond the individual: The interdependence of advance directive completion by older married adults. Journal of the American Geriatric Society. 2017. doi:10.1111/jgs.14939.
http://www.ncbi.nlm.nih.gov/pubmed/28555717?dopt=Abstract
Sakib N, Sun X, Kong N, Meng H, Li M. Bi-level heterogeneity modeling of functional performance degradation for the aging population. IISE Transactions on Healthcare Systems Engineering. 2017;7(3):156-167. doi:10.1080/24725579.2017.1339147.
Canham SL, Kaufmann CN, Mauro PM, Mojtabai R, Spira AP. Binge drinking and insomnia in middle-aged and older adults: the Health and Retirement Study. International Journal of Geriatric Psychiatry. 2015;30(3):284-91. doi:10.1002/gps.4139.
Kim KSoo, Kwekkeboom KL, Roberts T, Ward E. Biopsychosocial characteristics associated with engagement in art making among older adults. Geriatric Nursing. 2021;42(3):727-733. doi:10.1016/j.gerinurse.2021.03.011.
Kim KSoo, Kwekkeboom KL, Roberts T, Ward E. Biopsychosocial characteristics associated with engagement in art making among older adults. Geriatric Nursing. 2021;42(3):727-733. doi:10.1016/j.gerinurse.2021.03.011.
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.
Kim JKi, Crimmins EM. Blood Pressure and Mortality: Joint Effect of Blood Pressure Measures. Journal of Clinical Cardiology and Cardiovascular Therapy. 2020;2(1.1009). doi:https://doi.org/10.31546/2633-7916.1009.
Kara-Yakoubian M. Boys and men experience more social isolation than girls and women, study finds.
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.
Schoenberg NE, Kim H, Edwards W, Fleming ST. Burden of common multiple-morbidity constellations on out-of-pocket medical expenditures among older adults. Gerontologist. 2007;47(4):423-37. doi:10.1093/geront/47.4.423.
http://www.ncbi.nlm.nih.gov/pubmed/17766664?dopt=Abstract
Kelley A, McGarry K, Gorges RJean, Skinner JS. The burden of health care costs for patients with dementia in the last 5 years of life. Ann Intern Med. 2015;163(10):729-36. doi:10.7326/M15-0381.
http://www.ncbi.nlm.nih.gov/pubmed/26502320?dopt=Abstract
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

Lahey KE, Kim D, Newman ML. Can I Retire? Benchmarks to Consider in Making the Retirement Decision. Journal of Financial Planning. 2004;17(12):62-70.
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.
Kahng SKyoung. Can racial disparity in health between black and white Americans be attributed to racial disparities in body weight and socioeconomic status?. Health Soc Work. 2010;35(4):257-66. doi:10.1093/hsw/35.4.257.
http://www.ncbi.nlm.nih.gov/pubmed/21171533?dopt=Abstract