HRS Bibliography

Bibliography Search
Export 1833 results:
Filters: First Letter Of Last Name is K  [Clear All Filters]

Journal Article

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. 2023;32:149–168. 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. 2023;32:149–168. doi:10.1007/s10260-022-00645-2.
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 JK, 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.
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.
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.
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
Vable AM, Canning D, M. Glymour M, Kawachi I, Jimenez MP, Subramanian SV. Can social policy influence socioeconomic disparities? Korean War GI Bill eligibility and markers of depression. Ann Epidemiol. 2016;26(2):129-135.e3. doi:10.1016/j.annepidem.2015.12.003.
http://www.ncbi.nlm.nih.gov/pubmed/26778285?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.
Szymonifka J, Conderino S, Cigolle CT, et al. Cardiovascular disease risk prediction for people with type 2 diabetes in a population-based cohort and in electronic health record data. Jamia Open. 2020. doi:https://doi.org/10.1093/jamiaopen/ooaa059.