HRS Bibliography
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Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. Nat Genet. 2018;50(1):26-41. doi:10.1038/s41588-017-0011-x.
http://www.ncbi.nlm.nih.gov/pubmed/29273807?dopt=Abstract
Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. Nat Genet. 2018;50(1):26-41. doi:10.1038/s41588-017-0011-x.
http://www.ncbi.nlm.nih.gov/pubmed/29273807?dopt=Abstract
A prospective cohort study of health behavior profiles after age 50 and mortality risk. BMC Public Health. 2012;12:803. doi:10.1186/1471-2458-12-803.
. http://www.ncbi.nlm.nih.gov/pubmed/22989155?dopt=Abstract
Proof of concept example for use of simulation to allow data pooling despite privacy restrictions. Epidemiology. 2021;32(5):638-647. doi:10.1097/EDE.0000000000001373.
. Projecting the chronic disease burden among the adult population in the United States using a multi-state population model. Front Public Health. 2022;10:1082183. doi:10.3389/fpubh.2022.1082183.
. The Project TALENT Twin and Sibling Study. Twin Research and Human Genetics. 2013;16(1):437-448. doi:10.1017/thg.2012.71.
. http://www.ncbi.nlm.nih.gov/pubmed/23101474?dopt=Abstract
The Process of Retirement Planning Scale (PRePS): development and validation. Psychol Assess. 2010;22(3):520-31. doi:10.1037/a0019512.
. http://www.ncbi.nlm.nih.gov/pubmed/20822264?dopt=Abstract
Private Insurance and Mental Health among Older Adults with Multiple Chronic Conditions: A Longitudinal Analysis by Race and Ethnicity. International Journal of Environmental Research and Public Health. 2021;18(5):1-15. doi:10.3390/ijerph18052615.
. Prevalence of unpaid caregiving, pain, and depression in older seriously ill patients undergoing elective surgery. J Am Geriatr Soc. 2023. doi:10.1111/jgs.18316.
Prevalence and Trends of Slow Gait Speed in the United States. Geriatrics (Basel, Switzerland). 2023;8(5). doi:10.3390/geriatrics8050095.
Prevalence and Outcomes of Breathlessness in Older Adults: A National Population Study. J Am Geriatr Soc. 2016;64(10):2035-2041. doi:10.1111/jgs.14313.
. http://www.ncbi.nlm.nih.gov/pubmed/27603500?dopt=Abstract
Prevalence and correlates of depressive symptoms in a community sample of people suffering from heart failure. J Am Geriatr Soc. 2002;50(12):2003-8. doi:10.1046/j.1532-5415.2002.50612.x.
. http://www.ncbi.nlm.nih.gov/pubmed/12473012?dopt=Abstract
Prescription drug coverage and chronic pain. Int J Health Econ Manag. 2016;16(2):189-200. doi:10.1007/s10754-016-9185-5.
. http://www.ncbi.nlm.nih.gov/pubmed/27878715?dopt=Abstract
Preretirement Planning and Well-Being in Later Life: A Prospective Study. Research on Aging. 2009;31(3):295.
. Preparedness for natural disasters among older US adults: a nationwide survey. Am J Public Health. 2014;104(3):506-11. doi:10.2105/AJPH.2013.301559.
. http://www.ncbi.nlm.nih.gov/pubmed/24432877?dopt=Abstract
Preparaci n de los adultos mayores en los Estados Unidos para hacer frente a los desastres naturales: encuesta a escala nacional. American Journal of Public Health. 2015;105(S4):S614. doi:10.2105/AJPH.2013.301559s.
. Prehospital and Posthospital Fall Injuries in Older US Adults. JAMA Network Open. 2020;3(8). doi:https://doi.org/10.1001/jamanetworkopen.2020.13243.
. Predictors of New Onset Sleep Medication and Treatment Utilization Among Older Adults in the United States. The Journals of Gerontology Series A: Biological Sciences and Medical Sciences. 2016;71(7):954-960. doi:10.1093/gerona/glv227.
. Predictors of Covid-19 level of concern among older adults from the health and retirement study. Scientific Reports. 2022;12(1):4396. doi:10.1038/s41598-022-08332-8.
Predicting individual-level longevity with statistical and machine learning methods. Max Planck Institute; 2023. doi:10.4054/MPIDR-WP-2023-008.
Predicting Cognitive Impairment and Dementia: A Machine Learning Approach. Journal of Alzheimer's disease : JAD. 2020;75(3):717-728. doi:10.3233/JAD-190967.
Predicting Cognitive Impairment and Dementia: A Machine Learning Approach. Journal of Alzheimer's disease : JAD. 2020;75(3):717-728. doi:10.3233/JAD-190967.
Predicting Cognitive Impairment and Dementia: A Machine Learning Approach. Journal of Alzheimer's disease : JAD. 2020;75(3):717-728. doi:10.3233/JAD-190967.
Potential Enhancements to Data on Health Insurance, Health Services, and Medicare in the Health and Retirement Study. Forum for Health Economics and Policy. 2011;14(3):Article 3. doi:10.2202/1558-9544.1262.
. Positive Psychological Attributes and Retirement Satisfaction. Journal of Financial Counseling and Planning. 2014;25(2):161-173.
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