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.
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.
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.
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.
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.
Verghese J, Wang C, Allali G, Holtzer R, Ayers E. Modifiable Risk Factors for New-Onset Slow Gait in Older Adults. Journal of the American Medical Directors Association. 2016;17(5):421-425. doi:10.1016/j.jamda.2016.01.017.
Ayers E, Verghese J. Motoric cognitive risk syndrome and risk of mortality in older adults. Alzheimers Dement. 2016;12(5):556-64. doi:10.1016/j.jalz.2015.08.167.
http://www.ncbi.nlm.nih.gov/pubmed/26545790?dopt=Abstract
Germain CM, Batsis JA, Vasquez E, McQuoid DR. Muscle Strength, Physical Activity, and Functional Limitations in Older Adults with Central Obesity. Journal of Aging Research. 2016;2016. doi:10.1155/2016/8387324.
http://www.ncbi.nlm.nih.gov/pubmed/27034833?dopt=Abstract
Germain CM, Vasquez E, Batsis JA. Physical Activity, Central Adiposity, and Functional Limitations in Community-Dwelling Older Adults. Journal of Geriatric Physical Therapy. 2016;39(2):71-76. doi:10.1519/jpt.0000000000000051.
Batsis JA, Germain CM, Vasquez E, Bartels SJ. Prevalence of weakness and its relationship with limitations based on the Foundations for the National Institutes for Health project: data from the Health and Retirement Study. Eur J Clin Nutr. 2016;70(10):1168-1173. doi:10.1038/ejcn.2016.90.
http://www.ncbi.nlm.nih.gov/pubmed/27245209?dopt=Abstract
Vaghela P. Racial differences in the manifestation of mental illness among older adults. Sociology. 2016;Ph.D.:99.
Vasquez E, Botoseneanu A, Bennett JM, Shaw BA. Racial/Ethnic Differences in Trajectories of Cognitive Function in Older Adults. J Aging Health. 2016;28(8):1382-1402. doi:10.1177/0898264315620589.
http://www.ncbi.nlm.nih.gov/pubmed/26719488?dopt=Abstract
Germain CM, Vasquez E, Batsis JA, McQuoid DR. Sex, race and age differences in muscle strength and limitations in community dwelling older adults: Data from the Health and Retirement Survey (HRS). Archives of Gerontology and Geriatrics. 2016;65:98-103. doi:10.1016/j.archger.2016.03.007.
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
Marden JR, Mayeda ER, Walter S, et al. Using an Alzheimer Disease Polygenic Risk Score to Predict Memory Decline in Black and White Americans Over 14 Years of Follow-up. Alzheimer Dis Assoc Disord. 2016;30(3):195-202. doi:10.1097/WAD.0000000000000137.
http://www.ncbi.nlm.nih.gov/pubmed/26756387?dopt=Abstract
Baldwin TC, Vakalahi HFOfaheng, Anderson B. What about African American Older Women and Depressive Symptoms?. Educational Gerontology. 2016;42(5):310-320. doi:10.1080/03601277.2015.1121749.
van Hedel K, Mejía-Guevara I, Avendano M, et al. Work-Family Trajectories and the Higher Cardiovascular Risk of American Women Relative to Women in 13 European Countries. Am J Public Health. 2016;106(8):1449-56. doi:10.2105/AJPH.2016.303264.
http://www.ncbi.nlm.nih.gov/pubmed/27310346?dopt=Abstract
van Hedel K, Mejía-Guevara I, Avendano M, et al. Work-Family Trajectories and the Higher Cardiovascular Risk of American Women Relative to Women in 13 European Countries. Am J Public Health. 2016;106(8):1449-56. doi:10.2105/AJPH.2016.303264.
http://www.ncbi.nlm.nih.gov/pubmed/27310346?dopt=Abstract

2015

Saczynski JS, Rosen AB, McCammon RJ, et al. Antidepressant Use and Cognitive Decline: The Health and Retirement Study. Am J Med. 2015;128(7):739-46. doi:10.1016/j.amjmed.2015.01.007.
http://www.ncbi.nlm.nih.gov/pubmed/25644319?dopt=Abstract
Vable AM. Changes to the Social Patterning of Economic Resources and the Distribution of Mental and Biological Health Markers. 2015.
Stenholm S, Westerlund H, Head J, et al. Comorbidity and functional trajectories from midlife to old age: the Health and Retirement Study. J Gerontol A Biol Sci Med Sci. 2015;70(3):332-8. doi:10.1093/gerona/glu113.
http://www.ncbi.nlm.nih.gov/pubmed/25060316?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.
Duan-Porter W, Hastings SNicole, Neelon B, Van Houtven CHarold. Control Beliefs and Risk for Death, Stroke and Myocardial Infarction in Middle-aged and Older Adults: An Observational Study. J Gen Intern Med. 2015;30(8):1156-63. doi:10.1007/s11606-015-3275-9.
http://www.ncbi.nlm.nih.gov/pubmed/25792069?dopt=Abstract
Anderlucci L, Viroli C. Covariance pattern mixture models for the analysis of multivariate heterogeneous longitudinal data. Annals of Applied Statistics. 2015;9(2):777-800. doi:10.1214/15-aoas816.