HRS Bibliography

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McGrath R, FitzSimmons S, Andrew S, et al. Prevalence and Trends of Weakness Among Middle-Aged and Older Adults in the United States. Journal of strength and conditioning research. 2023;37(12):2484-2490. doi:10.1519/JSC.0000000000004560.
McGrath R, FitzSimmons S, Andrew S, Black K. Prevalence and Trends of Weakness Among Middle-Aged and Older Adults in the United States. Journal of strength and conditioning research. 2023;37(12):2484-2490. doi:10.1519/JSC.0000000000004560.
Miller MJ, Cenzer I, Barnes DE, Ankuda CK, Covinsky KE. Prevalence of cognitive impairment in home health physical therapy. Journal of the American Geriatrics Society. Forthcoming. doi:10.1111/jgs.18715.
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.
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.
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
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
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.
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.
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
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
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
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
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
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.