HRS Bibliography

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2018

van Raalte AA, Sasson I, Martikainen P. The case for monitoring life-span inequality. Science. 2018;362(6418):1002-1004. doi:10.1126/science.aau5811.
Díaz-Venegas C, Downer B, Langa KM, Wong R. Cognitive Functioning of U.S. Adults by Race and Hispanic Origin. In: Vega WA, Angel JL, Robledo LMiguel F, Markides KS, eds. Contextualizing Health and Aging in the Americas. Contextualizing Health and Aging in the Americas. Cham: Springer International Publishing; 2018:85 - 107. doi:10.1007/978-3-030-00584-910.1007/978-3-030-00584-9_5.
Henretta JC, Van Voorhis MF, Soldo BJ. Cohort Differences in Parental Financial Help to Adult Children. Demography. 2018;55(4):1567-1582. doi:10.1007/s13524-018-0687-2.
http://www.ncbi.nlm.nih.gov/pubmed/29907922?dopt=Abstract
Kavé G, Fridkin S, Ayalon L. Demographic factors and retrieval of object and proper names after age 70. Vigliecca NSilvana, ed. PLOS ONE. 2018;13(1):e0191876. doi:10.1371/journal.pone.0191876.
Thyagarajan B, Barcelo H, Crimmins EM, et al. Effect of delayed cell processing and cryopreservation on immunophenotyping in multicenter population studies. Journal of Immunological Methods. 2018;463:61-70. doi:10.1016/j.jim.2018.09.007.
Vogelsang EM. Feeling Better at This Age? Investigating Three Explanations for Self-Rated Health Improvements Among the Oldest-Old. The Gerontologist. 2018;58(5):825-834. doi:10.1093/geront/gnx149.
Lee JJ, Wedow R, Okbay A, et al. Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals. Nature Genetics. 2018;50(8):1112-1121. doi:10.1038/s41588-018-0147-3.
http://www.ncbi.nlm.nih.gov/pubmed/30038396?dopt=Abstract
Lee JJ, Wedow R, Okbay A, et al. Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals. Nature Genetics. 2018;50(8):1112-1121. doi:10.1038/s41588-018-0147-3.
http://www.ncbi.nlm.nih.gov/pubmed/30038396?dopt=Abstract
Hupfeld KE, Vaillancourt DE, Seidler RD. Genetic markers of dopaminergic transmission predict performance for older males but not females. Neurobiology of Aging. 2018;66(180):.e11-180.e21. doi:10.1016/j.neurobiolaging.2018.02.005.
http://www.ncbi.nlm.nih.gov/pubmed/29525179?dopt=Abstract
Savage JE, Jansen PR, Stringer S, et al. Genome-wide association meta-analysis in 269,867 individuals identifies new genetic and functional links to intelligence. Nature Genetics. 2018;50(7):912 - 919. doi:10.1038/s41588-018-0152-6.
Savage JE, Jansen PR, Stringer S, et al. Genome-wide association meta-analysis in 269,867 individuals identifies new genetic and functional links to intelligence. Nature Genetics. 2018;50(7):912 - 919. doi:10.1038/s41588-018-0152-6.
Savage JE, Jansen PR, Stringer S, et al. Genome-wide association meta-analysis in 269,867 individuals identifies new genetic and functional links to intelligence. Nature Genetics. 2018;50(7):912 - 919. doi:10.1038/s41588-018-0152-6.
Mekli K, Phillips DF, Arpawong TE, et al. Genome-wide scan of depressive symptomatology in two representative cohorts in the United States and the United Kingdom. Journal of Psychiatric Research. 2018;100:63-70. doi:10.1016/j.jpsychires.2018.01.016.
McGrath RP, Vincent B, Lee I-M, Kraemer WJ, Peterson MD. Handgrip Strength, Function, and Mortality in Older Adults: A Time-Varying Approach. Medicine and Science in Sports and Exercise. 2018. doi:10.1249/MSS.0000000000001683.
http://www.ncbi.nlm.nih.gov/pubmed/29933349?dopt=Abstract
Latham-Mintus K, Vowels A, Huskins K. Healthy Aging Among Older Black and White Men: What Is the Role of Mastery?. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences. 2018;73(2):248-257. doi:10.1093/geronb/gbx105.
http://www.ncbi.nlm.nih.gov/pubmed/28977575?dopt=Abstract
Vettoretti M, Longato E, Di Camillo B, Facchinetti A. Importance of Recalibrating Models for Type 2 Diabetes Onset Prediction: Application of the Diabetes Population Risk Tool on the Health and Retirement Study. Conf Proc IEEE Eng Med Biol Soc. 2018;2018:5358-5361. doi:10.1109/EMBC.2018.8513554.
http://www.ncbi.nlm.nih.gov/pubmed/30441547?dopt=Abstract
Wu Y, Zeng J, Zhang F, et al. Integrative analysis of omics summary data reveals putative mechanisms underlying complex traits. Nature Communications. 2018;9(1). doi:10.1038/s41467-018-03371-0.
Van Dam A. It’s better to be born rich than gifted. The Washington Post. https://www.washingtonpost.com/business/2018/10/09/its-better-be-born-rich-than-talented/?noredirect=on&utm_term=.e6c0cc49f545. Published 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.
http://www.ncbi.nlm.nih.gov/pubmed/30124842?dopt=Abstract
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.
Vable AM, Kiang MV, Basu S, et al. Military Service, Childhood Socio-Economic Status, and Late-Life Lung Function: Korean War Era Military Service Associated with Smaller Disparities. Military Medicine. 2018. doi:10.1093/milmed/usx196.
http://www.ncbi.nlm.nih.gov/pubmed/29509934?dopt=Abstract
Vable AM, Eng CW, Mayeda ER, et al. Mother's education and late-life disparities in memory and dementia risk among US military veterans and non-veterans. Journal of Epidemiology and Community Health. 2018;72(12):1162-1167. doi:10.1136/jech-2018-210771.
http://www.ncbi.nlm.nih.gov/pubmed/30082424?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.
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