HRS Bibliography

Bibliography Search
Export 1131 results:
Filters: First Letter Of Last Name is A  [Clear All Filters]

P

Turcot V, Lu Y, Highland HM, et al. 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
Turcot V, Lu Y, Highland HM, et al. 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
Shaw BA, Agahi N. 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
Filshtein T, Li X, Zimmerman SC, Ackley SF, M. Glymour M, Power MC. 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.
Ansah JP, Chiu C-T. 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.
Prescott CA, Achorn DLyter, Kaiser A, Mitchell L, McArdle JJ, Lapham SJ. 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
Noone JH, Stephens C, Alpass FM. 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
Jun H, Aguila E. 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.
Hu FY, Wang Y, Abbas M, et al. 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.
Stover E, Andrew S, Batesole J, et al. Prevalence and Trends of Slow Gait Speed in the United States. Geriatrics (Basel, Switzerland). 2023;8(5). doi:10.3390/geriatrics8050095.
Currow DC, Abernethy AP, Johnson MJ, Miao Y, W Boscardin J, Ritchie CS. 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
Turvey CL, Schultz K, Arndt S, Wallace RB, Herzog AR. 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
Ayyagari P. 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
Noone JH, Stephens C, Alpass FM. Preretirement Planning and Well-Being in Later Life: A Prospective Study. Research on Aging. 2009;31(3):295.
Al-rousan TM, Rubenstein LM, Wallace RB. 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
Al-rousan TM, Rubenstein LM, Wallace RB. 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.
Hoffman GJ, Tinetti M, Ha J, Alexander NB, Min LC. Prehospital and Posthospital Fall Injuries in Older US Adults. JAMA Network Open. 2020;3(8). doi:https://doi.org/10.1001/jamanetworkopen.2020.13243.
Leggett AN, Pepin R, Sonnega A, Assari S. 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.
Beydoun HA, Beydoun MA, Weiss J, et al. 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.
Badolato L, Decter-Frain A, Irons NJ, et al. Predicting individual-level longevity with statistical and machine learning methods. Max Planck Institute; 2023. doi:10.4054/MPIDR-WP-2023-008.
Aschwanden D, Aichele S, Ghisletta P, et al. 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.
Aschwanden D, Aichele S, Ghisletta P, et al. 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.
Aschwanden D, Aichele S, Ghisletta P, et al. 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.
Ayanian JZ, Meara E, McWilliams JM. 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.
Asebedo SD, Seay MC. Positive Psychological Attributes and Retirement Satisfaction. Journal of Financial Counseling and Planning. 2014;25(2):161-173.