HRS Bibliography

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Prescott HC, Iwashyna TJ. Reply: End-of-Life Treatment Preferences in the Health and Retirement Study. Annals of the American Thoracic Society. 2019;16(4):523. doi:10.1513/AnnalsATS.201810-739LE.
http://www.ncbi.nlm.nih.gov/pubmed/30495969?dopt=Abstract
Prescott HC, Langa KM, Liu V, Escobar GJ, Iwashyna TJ. Increased 1-year healthcare use in survivors of severe sepsis. Am J Respir Crit Care Med. 2014;190(1):62-9. doi:10.1164/rccm.201403-0471OC.
http://www.ncbi.nlm.nih.gov/pubmed/24872085?dopt=Abstract
Prescott HC, Chang VW. Overweight or obese BMI is associated with earlier, but not later survival after common acute illnesses. BMC Geriatrics. 2018;18(1). doi:10.1186/s12877-018-0726-2.
Prescott HC, Sjoding MW, Langa KM, Iwashyna TJ, McAuley DF. Late mortality after acute hypoxic respiratory failure. Thorax. 2017. doi:10.1136/thoraxjnl-2017-210109.
http://www.ncbi.nlm.nih.gov/pubmed/28780503?dopt=Abstract
Prescott HC, Carmichael AG, Langa KM, Gonzalez R, Iwashyna TJ. Paths into sepsis: Trajectories of presepsis healthcare use. Annals of the American Thoracic Society. 2019;16(1):116-123. doi:10.1513/AnnalsATS.201806-391OC.
http://www.ncbi.nlm.nih.gov/pubmed/30212640?dopt=Abstract
Prescott HC, Dickson RP, Rogers MAM, Langa KM, Lwashyna TJ. Hospitalization Type and Subsequent Severe Sepsis. Am J Respir Crit Care Med. 2015;192(5):581-8. doi:10.1164/rccm.201503-0483OC.
http://www.ncbi.nlm.nih.gov/pubmed/26016947?dopt=Abstract
Prescott HC, Osterholzer JJ, Langa KM, Angus DC, Iwashyna TJ. Late mortality after sepsis: propensity matched cohort study. BMJ. 2016;353:i2375. doi:10.1136/bmj.i2375.
http://www.ncbi.nlm.nih.gov/pubmed/27189000?dopt=Abstract
Primes G, Fieder M. Real-life prosocial attitudes in North America: A genome-wide association approach. 2016.
Primes G, Fieder M. Real-life helping behaviours in North America: A genome-wide association approach. PLoS One. 2018;13(1):e0190950. doi:10.1371/journal.pone.0190950.
http://www.ncbi.nlm.nih.gov/pubmed/29324852?dopt=Abstract
Poverty report links wealth to life expectancy. Prince George Citizen. https://proxy.lib.umich.edu/login?url=https://search.proquest.com/docview/2292028778?accountid=14667. Published 2019.PDF icon ProQuestDocuments-2019-09-30.pdf (208.67 KB)
Prindle JJ, McArdle JJ. How Representative Is the ACTIVE Sample? A Statistical Comparison of the ACTIVE Sample and the HRS Sample. Journal of Aging and Health. 2013;25(8):85S-102S.
Prindle JJ. A functional use of response time data in cognitive assessment. 2012;3513831:244.
Pringle KElmendorf. TREAT 'EM: Triangulation, Risk, and the Economics of Alcoholism and Treatment among Elders in Medicare. College of Health and Human Development . 2004;Doctor of Philosophy.
Pudrovska T. Cancer, Body, and Mastery at the Intersection of Gender and Race. Society and Mental Health. 2018;8(1):50-68. doi:10.1177/2156869317719484.
Pudrovska T, Anishkin A. Personal Mastery and the Medical, Financial, and Physical Cancer Burden: Gender and Race Differences Among Older Adults. Journal of Aging and Health. 2020. doi:10.1177/0898264320912611.
Puterman E, Weiss J, Hives BA, et al. Predicting mortality from 57 economic, behavioral, social, and psychological factors. Proceedings of the National Academy of Sciences. 2020. doi:10.1073/pnas.1918455117.
Puterman E, Gemmill A, Karasek D, et al. Lifespan adversity and later adulthood telomere length in the nationally representative US Health and Retirement Study. Proc Natl Acad Sci U S A. 2016;113(42):E6335-E6342. doi:10.1073/pnas.1525602113.
http://www.ncbi.nlm.nih.gov/pubmed/27698131?dopt=Abstract
Putnam M, Molton IR, Truitt AR, Smith AE, Jensen MP. Measures of aging with disability in U.S. secondary data sets: Results of a scoping review. Disability and Health Journal. 2016;9(1):5-10. doi:10.1016/j.dhjo.2015.07.002.