HRS Bibliography

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2014

Assari S. Veterans and risk of heart disease in the United States: a cohort with 20 years of follow up. Int J Prev Med. 2014;5(6):703-9.
http://www.ncbi.nlm.nih.gov/pubmed/25013689?dopt=Abstract

2013

Ayalon L, Shiovitz-Ezra S, Palgi Y. Associations of loneliness in older married men and women. Aging and Mental Health. 2013;17(1):33-39. doi:10.1080/13607863.2012.702725.
Li K-K, Cardinal BJ, Acock AC. Concordance of Physical Activity Trajectories Among Middle-Aged and Older Married Couples: Impact of Diseases and Functional Difficulties. The Journals of Gerontology. 2013;68(5):794.
Rogers MAM, M. Greene T, Young VB, et al. Depression, antidepressant medications, and risk of Clostridium difficile infection. BMC Medicine. 2013;11:121. doi:10.1186/1741-7015-11-121.
M. Islam A, Alzaid AA, Chowdhury RI, Sultan KS. A generalized bivariate Bernoulli model with covariate dependence. Journal of Applied Statistics. 2013;40:1064-1075. doi:10.1080/02664763.2013.780156.
Franceschini N, Fox E, Zhang Z, et al. Genome-wide association analysis of blood-pressure traits in African-ancestry individuals reveals common associated genes in African and non-African populations. Am J Hum Genet. 2013;93(3):545-54. doi:10.1016/j.ajhg.2013.07.010.
http://www.ncbi.nlm.nih.gov/pubmed/23972371?dopt=Abstract
Franceschini N, Fox E, Zhang Z, et al. Genome-wide association analysis of blood-pressure traits in African-ancestry individuals reveals common associated genes in African and non-African populations. Am J Hum Genet. 2013;93(3):545-54. doi:10.1016/j.ajhg.2013.07.010.
http://www.ncbi.nlm.nih.gov/pubmed/23972371?dopt=Abstract
Franceschini N, Fox E, Zhang Z, et al. Genome-wide association analysis of blood-pressure traits in African-ancestry individuals reveals common associated genes in African and non-African populations. Am J Hum Genet. 2013;93(3):545-54. doi:10.1016/j.ajhg.2013.07.010.
http://www.ncbi.nlm.nih.gov/pubmed/23972371?dopt=Abstract
Franceschini N, Fox E, Zhang Z, et al. Genome-wide association analysis of blood-pressure traits in African-ancestry individuals reveals common associated genes in African and non-African populations. Am J Hum Genet. 2013;93(3):545-54. doi:10.1016/j.ajhg.2013.07.010.
http://www.ncbi.nlm.nih.gov/pubmed/23972371?dopt=Abstract
Burgard SA, Ailshire JA, Kalousova L. The Great Recession and Health: People, Populations, and Disparities. Annals of the American Academy of Political and Social Science. 2013;650(1):194.
Rietveld CA, Medland SE, Derringer J, et al. GWAS of 126,559 individuals identifies genetic variants associated with educational attainment. Science. 2013;340(6139):1467-71. doi:10.1126/science.1235488.
http://www.ncbi.nlm.nih.gov/pubmed/23722424?dopt=Abstract
Rietveld CA, Medland SE, Derringer J, et al. GWAS of 126,559 individuals identifies genetic variants associated with educational attainment. Science. 2013;340(6139):1467-71. doi:10.1126/science.1235488.
http://www.ncbi.nlm.nih.gov/pubmed/23722424?dopt=Abstract
Rietveld CA, Medland SE, Derringer J, et al. GWAS of 126,559 individuals identifies genetic variants associated with educational attainment. Science. 2013;340(6139):1467-71. doi:10.1126/science.1235488.
http://www.ncbi.nlm.nih.gov/pubmed/23722424?dopt=Abstract
Rietveld CA, Medland SE, Derringer J, et al. GWAS of 126,559 individuals identifies genetic variants associated with educational attainment. Science. 2013;340(6139):1467-71. doi:10.1126/science.1235488.
http://www.ncbi.nlm.nih.gov/pubmed/23722424?dopt=Abstract
Rietveld CA, Medland SE, Derringer J, et al. GWAS of 126,559 individuals identifies genetic variants associated with educational attainment. Science. 2013;340(6139):1467-71. doi:10.1126/science.1235488.
http://www.ncbi.nlm.nih.gov/pubmed/23722424?dopt=Abstract
Rietveld CA, Medland SE, Derringer J, et al. GWAS of 126,559 individuals identifies genetic variants associated with educational attainment. Science. 2013;340(6139):1467-71. doi:10.1126/science.1235488.
http://www.ncbi.nlm.nih.gov/pubmed/23722424?dopt=Abstract
Rietveld CA, Medland SE, Derringer J, et al. GWAS of 126,559 individuals identifies genetic variants associated with educational attainment. Science. 2013;340(6139):1467-71. doi:10.1126/science.1235488.
http://www.ncbi.nlm.nih.gov/pubmed/23722424?dopt=Abstract
Aguila E, Escarce JJ, Leng M, Morales L. Health status and behavioral risk factors in older adult Mexicans and Mexican immigrants to the United States. J Aging Health. 2013;25(1):136-58. doi:10.1177/0898264312468155.
http://www.ncbi.nlm.nih.gov/pubmed/23264441?dopt=Abstract
Angrisani M, Hurd MD, Meijer E, Parker AM, Rohwedder S. Labor Force Transitions at Older Ages: The Roles of Work Environment and Personality. Ann Arbor, The University of Michigan; 2013.
Payne JW, Sagara N, Shu SB, Appelt KC, Johnson EJ. Life expectancy as a constructed belief: Evidence of a live-to or die-by framing effect. Journal of Risk and Uncertainty. 2013;46(1):27.
Addo FR, Lichter DT. Marriage, marital history, and Black-White wealth differentials among older women. Journal of Marriage and Family. 2013;75(2):342-362. doi:10.1111/jomf.12007.
Wiener JM, Anderson WL, Khatutsky G, Kaganova Y, O'Keeffe J. Medicaid Spend Down: Implications for Long-Term Services and Supports and Aging Policy. Long Beach, CA, The SCAN Foundation; 2013.
Zhang Y, Engelman M, Agree EM. Moving Considerations: A Longitudinal Analysis of Parent-Child Residential Proximity for Older Americans. Research on Aging. 2013;35(6):663-687. doi:10.1177/0164027512457787.
Noor NMohd, M. Islam A, Ali Z. A multistate transition model for analyzing diseases in elderly population. World Applied Sciences Journal. 2013;21(12):1700-1707. doi: 10.5829/idosi.wasj.2013.21.12.2570.
Andrews JS, Cenzer I, Yelin E, Covinsky KE. Pain as a risk factor for disability or death. J Am Geriatr Soc. 2013;61(4):583-9. doi:10.1111/jgs.12172.
http://www.ncbi.nlm.nih.gov/pubmed/23521614?dopt=Abstract