HRS Bibliography

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2018

Ogilvie RP, Zabetian A, Mokdad AH, Narayan KMVenkat. Lifestyle Characteristics Among People With Diabetes and Prediabetes. In: Diabetes in America. 3rdrd ed. Diabetes in America. Bethesda, MD: National Institute of Diabetes and Digestive and Kidney Disease; 2018.
Yengo L, Sidorenko J, Kemper KE, et al. Meta-analysis of genome-wide association studies for height and body mass index in ∼700000 individuals of European ancestry. Human Molecular Genetics. 2018;27(20):3641-3649. doi:10.1093/hmg/ddy271.
Yengo L, Sidorenko J, Kemper KE, et al. Meta-analysis of genome-wide association studies for height and body mass index in ∼700000 individuals of European ancestry. Human Molecular Genetics. 2018;27(20):3641-3649. doi:10.1093/hmg/ddy271.
http://www.ncbi.nlm.nih.gov/pubmed/30124842?dopt=Abstract
Carr E, Fleischmann M, Goldberg M, et al. Occupational and educational inequalities in exit from employment at older ages: evidence from seven prospective cohorts. Occupational and Environmental Medicine. 2018;75(5):369 - 377. doi:10.1136/oemed-2017-10461910.1136/oemed-2017-104619.supp1.
Carr E, Fleischmann M, Goldberg M, et al. Occupational and educational inequalities in exit from employment at older ages: evidence from seven prospective cohorts. Occupational and Environmental Medicine. 2018;75(5):369 - 377. doi:10.1136/oemed-2017-10461910.1136/oemed-2017-104619.supp1.
Hurd MD, Smith JP, Zissimopoulos JM. The Potential Effects of Obesity on Social Security Claiming Behavior and Retirement Benefits. J Gerontol B Psychol Sci Soc Sci. 2018;73(4):723-732. doi:10.1093/geronb/gbw016.
http://www.ncbi.nlm.nih.gov/pubmed/27044665?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
Chen C, Zissimopoulos JM. Racial and ethnic differences in trends in dementia prevalence and risk factors in the United States. Alzheimer's & Dementia (N Y). 2018;4:510-520. doi:10.1016/j.trci.2018.08.009.
http://www.ncbi.nlm.nih.gov/pubmed/30364652?dopt=Abstract
Zuniga KE, Bishop NJ. Recent cancer treatment and memory decline in older adults: An analysis of the 2002–2012 Health and Retirement Study. Journal of Geriatric Oncology. 2018;9(3):186-193. doi:10.1016/j.jgo.2017.10.004.
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.
Marker DA, Mardon R, Jenkins F, et al. State-level estimation of diabetes and prediabetes prevalence: Combining national and local survey data and clinical data. Statistics in Medicine. 2018;37(27):3975-3990. doi:10.1002/sim.7848.
Davies G, Lam M, Harris SE, et al. Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function. Nature Communications. 2018;9(1):2098. doi:10.1038/s41467-018-04362-x.
Zahodne LB, A Kraal Z, Zaheed AB, Sol K. Subjective Social Status Predicts Late-Life Memory Trajectories through Both Mental and Physical Health Pathways. Gerontology. 2018;64:466-474. doi:10.1159/000487304.
Zahodne LB, A Kraal Z, Zaheed AB, Sol K. Subjective Social Status Predicts Late-Life Memory Trajectories through Both Mental and Physical Health Pathways. Gerontology. 2018;64:466-474. doi:10.1159/000487304.
Zhao B. Too poor to retire? Housing prices and retirement. Review of Economic Dynamics. 2018;27:27-47. doi:10.1016/j.red.2017.11.002.
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

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.
Direk N, Williams S, Smith JA, et al. An Analysis of Two Genome-wide Association Meta-analyses Identifies a New Locus for Broad Depression Phenotype. Biological Psychiatry. 2017;82(5):322-329. doi:10.1016/j.biopsych.2016.11.013.
Baker NA, Barbour KE, Helmick CG, Zack MM, Snih SAl. Arthritis and cognitive impairment in older adults. Rheumatology International. 2017;37(6):955-961. doi:10.1007/s00296-017-3698-1.