HRS Bibliography

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2018

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
Garcia MA, Downer B, Chiu C-T, Saenz JL, Rote S, Wong R. Racial/Ethnic and Nativity Differences in Cognitive Life Expectancies Among Older Adults in the United States. Gerontologist. 2018;38(1):155-168. doi:10.1093/geront/gnx142.
http://www.ncbi.nlm.nih.gov/pubmed/28958071?dopt=Abstract
Godbolt D, Vaghela P, Burdette AM, Hill TD. Religious Attendance and Body Mass: An Examination of Variations by Race and Gender. Journal of Religion and Health. 2018;57(6):2140-2152. doi:10.1007/s10943-017-0490-1.
http://www.ncbi.nlm.nih.gov/pubmed/28856558?dopt=Abstract
Gallegos D. Research Finds Volunteering Can Be Good for Your Health. The Wall Street Journal. https://www.wsj.com/articles/research-finds-volunteering-can-be-good-for-your-health-1524449280. Published 2018.
Garcia MA, Saenz JL, Downer B, Wong R. The role of education in the association between race/ethnicity/nativity, cognitive impairment, and dementia among older adults in the United States. Demographic Research. 2018;38:155-168. doi:10.4054/DemRes.2018.38.6.
Gustman AL, Steinmeier TL. The role of health in retirement. Vol. 46. (Polachek SW, Tatsiramos K, eds.). Bingley: Emerald Publishing Limited; 2018:229 - 297. doi:10.1108/rlec10.1108/S0147-912120184610.1108/S0147-912120180000046007.
Gum AM, Ayalon L. Self-perceptions of aging mediate the longitudinal relationship of hopelessness and depressive symptoms. International Journal of Geriatric Psychiatry. 2018;33(4):591-597. doi:10.1002/gps.4826.
http://www.ncbi.nlm.nih.gov/pubmed/29205512?dopt=Abstract
Stringhini S, Carmeli C, Jokela M, et al. Socioeconomic status, non-communicable disease risk factors, and walking speed in older adults: multi-cohort population based study. BMJ. 2018;360:k1046. doi:10.1136/bmj.k1046.
Stringhini S, Carmeli C, Jokela M, et al. Socioeconomic status, non-communicable disease risk factors, and walking speed in older adults: multi-cohort population based study. BMJ. 2018;360:k1046. doi:10.1136/bmj.k1046.
Stringhini S, Carmeli C, Jokela M, et al. Socioeconomic status, non-communicable disease risk factors, and walking speed in older adults: multi-cohort population based study. BMJ. 2018;360:k1046. doi:10.1136/bmj.k1046.
Hertzog C, Hülür G, Gerstorf D, Pearman A. Is subjective memory change in old age based on accurate monitoring of age-related memory change? Evidence from two longitudinal studies. Psychology and Aging. 2018;33(2):273-287. doi:10.1037/pag0000232.
Giustinelli P, Manski CF, Molinari F. Tail and Center Rounding of Probabilistic Expectations in the Health and Retirement Study. Cambridge, MA: National Bureau of Economic Research; 2018. doi:10.3386/w24559.
Graham J. The Toll of Caring for Aging Parents.
Quinn JF, Cahill KE, Giandrea MD. Transitions From Career Employment Among Public- and Private-Sector Workers. Cambridge, MA: National Bureau of Economic Research; 2018. doi:10.3386/w25003.
Nguyen TT, Vable AM, M. Glymour M, Nuru-Jeter A. Trends for Reported Discrimination in Health Care in a National Sample of Older Adults with Chronic Conditions. Journal of General Internal Medicine. 2018;33(3):291-297. doi:10.1007/s11606-017-4209-5.
http://www.ncbi.nlm.nih.gov/pubmed/29247435?dopt=Abstract
Ailshire JA, Garcia K. Unequal Places: The Impacts of Socioeconomic and Race/Ethnic Differences in Neighborhoods. San Francisco, California: American Society on Aging; 2018:20-27.
Raykov T, Zajacova A, Gorelick PB, Marcoulides GA. Using Latent Variable Modeling for Discrete Time Survival Analysis: Examining the Links of Depression to Mortality. Structural Equation Modeling: A Multidisciplinary Journal. 2018;25(2):287-293. doi:10.1080/10705511.2017.1364969.

2017

Giasson HL, Queen TL, Larkina M, Smith J. Age group differences in perceived age discrimination: Associations with self-perceptions of aging. The Gerontologist. 2017;57(suppl_2):S160 - S168. doi:10.1093/geront/gnx070.
Mez J, Marden JR, Mukherjee S, et al. Alzheimer's disease genetic risk variants beyond APOE ε4 predict mortality. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring. 2017;8:188-195. doi:10.1016/j.dadm.2017.07.002.
Mez J, Marden JR, Mukherjee S, et al. Alzheimer's disease genetic risk variants beyond APOE ε4 predict mortality. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring. 2017;8:188-195. doi:10.1016/j.dadm.2017.07.002.