HRS Bibliography

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R

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
Bengtson VL, Idler E. Religion and health in the US context of secularization and aging. In: New Dimensions in Spirituality, Religion, and Aging. 1st ed. New Dimensions in Spirituality, Religion, and Aging. Abington: Routledge; 2018:113-133. doi:10.4324/9780429463891.
Idler E. Religion and Aging in a Context of Secularization. Innovation in Aging. 2020;4(Suppl 1):657. doi:10.1093/geroni/igaa057.2267.
Idler E, Blevins J, Kiser M, Hogue C. Religion, a social determinant of mortality? A 10-year follow-up of the Health and Retirement Study. Anglewicz P, ed. PLOS ONE. 2017;12(12):e0189134. doi:10.1371/journal.pone.0189134.
Kwak M, Ingersoll-Dayton B. Relationships between negative exchanges and depressive symptoms in older couples: The moderating roles of care and gender. Journal of Social and Personal Relationships. 2019.
Chowdhury RI, M. Islam A. Regressive models for risk prediction of repeated multinomial outcomes: An illustration using Health and Retirement Study data. Biometrical Journal. 2020;n/a. doi:10.1002/bimj.201800101.
Nicholas LHersch, Langa KM, Iwashyna TJ, Weir DR. Regional variation in the association between advance directives and end-of-life Medicare expenditures. JAMA. 2011;306(13):1447-53. doi:10.1001/jama.2011.1410.
http://www.ncbi.nlm.nih.gov/pubmed/21972306?dopt=Abstract
Kwak M, Ingersoll-Dayton B, Burgard SA. Receipt of Care and Depressive Symptoms in Later Life: The Importance of Self-Perceptions of Aging. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences. 2014;69(2):325-335. doi:10.1093/geronb/gbt128.
Prescott HC, Langa KM, Iwashyna TJ. Readmission diagnoses after hospitalization for severe sepsis and other acute medical conditions. JAMA. 2015;313(10):1055-7. doi:10.1001/jama.2015.1410.
http://www.ncbi.nlm.nih.gov/pubmed/25756444?dopt=Abstract
Marouli E, Graff M, Medina-Gomez C, et al. Rare and low-frequency coding variants alter human adult height. Nature. 2017;542(7640):186-190. doi:10.1038/nature21039.
http://www.ncbi.nlm.nih.gov/pubmed/28146470?dopt=Abstract
Marouli E, Graff M, Medina-Gomez C, et al. Rare and low-frequency coding variants alter human adult height. Nature. 2017;542(7640):186-190. doi:10.1038/nature21039.
http://www.ncbi.nlm.nih.gov/pubmed/28146470?dopt=Abstract
Byhoff E, Harris TB, Langa KM, Iwashyna TJ. Racial and Ethnic Differences in End-of-Life Medicare Expenditures. Journal of the American Geriatrics Society. 2016;64(9):1789-1797. doi:10.1111/jgs.14263.

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
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
Grol-Prokopczyk H, Verdes-Tennant E, McEniry M, Ispány M. Promises and Pitfalls of Anchoring Vignettes in Health Survey Research. Demography. 2015;52(5):1703-1728. doi:10.1007/s13524-015-0422-1.
Davydow DS, Hough CL, Langa KM, Iwashyna TJ. Presepsis depressive symptoms are associated with incident cognitive impairment in survivors of severe sepsis: a prospective cohort study of older Americans. J Am Geriatr Soc. 2012;60(12):2290-6. doi:10.1111/jgs.12001.
http://www.ncbi.nlm.nih.gov/pubmed/23176643?dopt=Abstract
Chowdhury RI, M. Islam A. Predictive Models for Trajectory Risks Prediction from Repeated Ordinal Outcomes. Bulletin of the Malaysian Mathematical Sciences Society. 2022. doi:10.1007/s40840-022-01277-1.
Chowdhury RI, M. Islam A. Prediction of Disease Status: Transition Model Approach for Repeated Measures. Pakistan Journal of Statistics . 2014;30(2):181-196.PDF icon PAKJSTAT.pdf (403.25 KB)
M. Islam A, Chowdhury RI. Prediction of disease status: A regressive model approach for repeated measures. Statistical Methodology. 2010;7(5):520-540. doi:https://doi.org/10.1016/j.stamet.2010.03.001.
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.
Weiss A, Baselmans BML, Hofer E, et al. Personality Polygenes, Positive Affect, and Life Satisfaction. Twin Res Hum Genet. 2016;19(5):407-17. doi:10.1017/thg.2016.65.
Iveniuk J, Laumann EO, Waite LJ, McClintock MK, Tiedt AD. Personality measures in the national social life, health, and aging project. The journals of gerontology. Series B, Psychological sciences and social sciences. 2014;69(Suppl 2):S117-24. doi:10.1093/geronb/gbu073.
Infurna FJ, Gerstorf D. Perceived control relates to better functional health and lower cardio-metabolic risk: The mediating role of physical activity. Health psychology : official journal of the Division of Health Psychology, American Psychological Association. 2014;33(1):85-94.
Elliot AJ, Mooney CJ, Infurna FJ, Chapman BP. Perceived control and frailty: The role of affect and perceived health. Psychology and Aging. 2018;33(3):473-481. doi:10.1037/pag0000218.
http://www.ncbi.nlm.nih.gov/pubmed/29446967?dopt=Abstract