HRS Bibliography

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2016

Liu C, Kraja AT, Smith JA, Morrison AC, et al. Meta-analysis identifies common and rare variants influencing blood pressure and overlapping with metabolic trait loci. Nat Genet. 2016;48(10):1162-70. doi:10.1038/ng.3660.
Flores A. A mindfulness-based stress reduction program for lesbian, gay, bisexual, transgender older adults: A grant proposal. Social Work. 2016;M.S.W.:71.
Fraade-Blanar LA. Older adult injury risk assessment in the driving and occupational environments. Health Services. 2016;PhD:93.
O'Shea DM, Dotson VM, Fieo RA, Tsapanou A, Zahodne LB, Stern Y. Older adults with poor self-rated memory have less depressive symptoms and better memory performance when perceived self-efficacy is high. Int J Geriatr Psychiatry. 2016;31(7):783-90. doi:10.1002/gps.4392.
http://www.ncbi.nlm.nih.gov/pubmed/26679474?dopt=Abstract
Fang C, Butchart A, Stolyarova H, Nolte MA, Peticolas R. Pension Estimation Program Users Guide. Ann Arbor, Michigan: University of Michigan; 2016.PDF icon Download PDF (1.31 MB)
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.
Kulminski AM, He L, Culminskaya I, et al. Pleiotropic Associations of Allelic Variants in a 2q22 Region with Risks of Major Human Diseases and Mortality. Barsh GS, ed. PLoS Genet. 2016;12(11):e1006314. doi:10.1371/journal.pgen.1006314.
http://www.ncbi.nlm.nih.gov/pubmed/27832070?dopt=Abstract
Fang C, Kapinos K. Prospective Social Security Wealth Measures of Pre-Retirees Wave 10. Ann Arbor, Michigan: Institute for Social Research, University of Michigan; 2016.PDF icon Download PDF (293.22 KB)
Lichtenberg PA, Sugarman MA, Paulson D, Ficker LJ, Rahman-Filipiak A. Psychological and Functional Vulnerability Predicts Fraud Cases in Older Adults: Results of a Longitudinal Study. CLINICAL GERONTOLOGIST. 2016;39(1):48.
Primes G, Fieder M. Real-life prosocial attitudes in North America: A genome-wide association approach. 2016.
Researchers say reading may increase lifespan.
Fisher GG, Chaffee DS, Sonnega A. Retirement Timing: A Review and Recommendations for Future Research. Work, Aging and Retirement. 2016;2(2):230 - 261. doi:10.1093/workar/waw001.
De Nardi M, French E, Jones JBailey. Savings After Retirement: A Survey. Annual Review of Economics. 2016;8(1):177 - 204. doi:10.1146/annurev-economics-080315-015127.
Demirkan A, Lahti J, Direk N, et al. Somatic, positive and negative domains of the Center for Epidemiological Studies Depression (CES-D) scale: a meta-analysis of genome-wide association studies. Psychol Med. 2016;46(8):1613-23. doi:10.1017/S0033291715002081.
http://www.ncbi.nlm.nih.gov/pubmed/26997408?dopt=Abstract
Demirkan A, Lahti J, Direk N, et al. Somatic, positive and negative domains of the Center for Epidemiological Studies Depression (CES-D) scale: a meta-analysis of genome-wide association studies. Psychol Med. 2016;46(8):1613-23. doi:10.1017/S0033291715002081.
http://www.ncbi.nlm.nih.gov/pubmed/26997408?dopt=Abstract
Demirkan A, Lahti J, Direk N, et al. Somatic, positive and negative domains of the Center for Epidemiological Studies Depression (CES-D) scale: a meta-analysis of genome-wide association studies. Psychol Med. 2016;46(8):1613-23. doi:10.1017/S0033291715002081.
http://www.ncbi.nlm.nih.gov/pubmed/26997408?dopt=Abstract
Fitzpatrick MD. Teaching, Teachers Pensions and Retirement across Recent Cohorts of College Graduate Women. National Bureau of Economic Research; 2016. doi:10.3386/w22698.
Fernatt FRay. Three studies of the associations of cognitive ability, health, and wealth among the elderly. School of Family Studies and Human Services. 2016;Ph.D.

2015

Browning C, Finke MS. Cognitive Ability and the Stock Reallocations of Retirees during the Great Recession. Journal of Consumer Affairs. 2015;49(2):356-375. doi:10.1111/joca.12065.
Blundell R, Crawford R, French E, Tetlow G. Comparing Retirement Wealth Trajectories on Both Sides of the Pond . Ann Arbor: Institute for Social Research; 2015.
Nho K, Ramanan VK, Horgusluoglu E, et al. Comprehensive gene- and pathway-based analysis of depressive symptoms in older adults. J Alzheimers Dis. 2015;45(4):1197-206. doi:10.3233/JAD-148009.
http://www.ncbi.nlm.nih.gov/pubmed/25690665?dopt=Abstract
Nho K, Ramanan VK, Horgusluoglu E, et al. Comprehensive gene- and pathway-based analysis of depressive symptoms in older adults. J Alzheimers Dis. 2015;45(4):1197-206. doi:10.3233/JAD-148009.
http://www.ncbi.nlm.nih.gov/pubmed/25690665?dopt=Abstract
Nead KT, Li A, Wehner MR, et al. Contribution of common non-synonymous variants in PCSK1 to body mass index variation and risk of obesity: a systematic review and meta-analysis with evidence from up to 331 175 individuals. Human Molecular Genetics. 2015;24(12):3582-3594. doi:10.1093/hmg/ddv097.
Nead KT, Li A, Wehner MR, et al. Contribution of common non-synonymous variants in PCSK1 to body mass index variation and risk of obesity: a systematic review and meta-analysis with evidence from up to 331 175 individuals. Human Molecular Genetics. 2015;24(12):3582-3594. doi:10.1093/hmg/ddv097.
Nead KT, Li A, Wehner MR, et al. Contribution of common non-synonymous variants in PCSK1 to body mass index variation and risk of obesity: a systematic review and meta-analysis with evidence from up to 331 175 individuals. Human Molecular Genetics. 2015;24(12):3582-3594. doi:10.1093/hmg/ddv097.