HRS Bibliography

Bibliography Search
Export 356 results:
Filters: First Letter Of Last Name is N  [Clear All Filters]

M

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.
R. Konetzka T, He D, Dong J, Nyman JA. Moral hazard and long-term care insurance. The Geneva Papers on Risk and Insurance - Issues and Practice. 2019;44(2):231–251. doi:10.1057/s41288-018-00119-1.
Rist PM, Nguyen TT, Whitmer RA, M. Glymour M. Modifiable risk factors for nursing home admission among individuals with high and low dementia risk. Archives of Gerontology and Geriatrics. 2016;65:140-145. doi:10.1016/j.archger.2016.03.016.
Levine DA, Langa KM, Galecki AT, et al. Mild Cognitive Impairment and Receipt of Treatments for Acute Myocardial Infarction in Older Adults. Journal of General Internal Medicine. 2020;35:28–35. doi:10.1007/s11606-019-05155-8.
Levine DA, Galecki AT, Kabeto MU, et al. Mild cognitive impairment and receipt of procedures for acute ischemic stroke in older adults. Journal of Stroke and Cerebrovascular Diseases. 2020;29(10). doi:https://doi.org/10.1016/j.jstrokecerebrovasdis.2020.105083.
Mejia-Arango S, Nevarez R, Michaels-Obregon A, et al. The Mexican Cognitive Aging Ancillary Study (Mex-Cog): Study Design and Methods. Archives of Gerontology and Geriatrics. 2020;91. doi:https://doi.org/10.1016/j.archger.2020.104210.
Deelen J, Evans DS, Arking DE, et al. A meta-analysis of genome-wide association studies identifies multiple longevity genes. Nature Communications. 2019;10(1):3669. doi:10.1038/s41467-019-11558-2.
http://www.ncbi.nlm.nih.gov/pubmed/31413261?dopt=Abstract
Deelen J, Evans DS, Arking DE, et al. A meta-analysis of genome-wide association studies identifies multiple longevity genes. Nature Communications. 2019;10(1):3669. doi:10.1038/s41467-019-11558-2.
http://www.ncbi.nlm.nih.gov/pubmed/31413261?dopt=Abstract
Deelen J, Evans DS, Arking DE, et al. A meta-analysis of genome-wide association studies identifies multiple longevity genes. Nature Communications. 2019;10(1):3669. doi:10.1038/s41467-019-11558-2.
http://www.ncbi.nlm.nih.gov/pubmed/31413261?dopt=Abstract
Deelen J, Evans DS, Arking DE, et al. A meta-analysis of genome-wide association studies identifies multiple longevity genes. Nature Communications. 2019;10(1):3669. doi:10.1038/s41467-019-11558-2.
http://www.ncbi.nlm.nih.gov/pubmed/31413261?dopt=Abstract
Deelen J, Evans DS, Arking DE, et al. A meta-analysis of genome-wide association studies identifies multiple longevity genes. Nature Communications. 2019;10(1):3669. doi:10.1038/s41467-019-11558-2.
http://www.ncbi.nlm.nih.gov/pubmed/31413261?dopt=Abstract
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.
Nicholas LHersch, Kelly B. Is marriage good for male health in retirement?. The Gerontologist. 2005;45:584 -585.
Dupre ME, Nelson A. Marital history and survival after a heart attack. Soc Sci Med. 2016;170:114-123. doi:10.1016/j.socscimed.2016.10.013.
http://www.ncbi.nlm.nih.gov/pubmed/27770749?dopt=Abstract
Melville JL, Fan M-Y, Rau H, Nygaard IE, Katon WJ. Major depression and urinary incontinence in women: temporal associations in an epidemiologic sample. Am J Obstet Gynecol. 2009;201(5):490.e1-7. doi:10.1016/j.ajog.2009.05.047.
http://www.ncbi.nlm.nih.gov/pubmed/19716547?dopt=Abstract

L

Sabbath EL, Mejía-Guevara I, Noelke C, Berkman LF. The long-term mortality impact of combined job strain and family circumstances: A life course analysis of working American mothers. Social Science and Medicine. 2015;146:111.
de Vries R, Blane D, Netuveli G. Long-term exposure to income inequality: implications for physical functioning at older ages. European Journal of Ageing. 2014;11(1):19-29. doi:10.1007/s10433-013-0285-5.
Zajacova A, Huzurbazar S, Greenwood M, Nguyen H. Long-Term BMI Trajectories and Health in Older Adults: Hierarchical Clustering of Functional Curves. Journal of Aging and Health. 2015;27(8):1443-1461. doi:10.1177/0898264315584329.
Maharani A, Dawes P, Nazroo J, Tampubolon G, Pendleton N. Longitudinal Relationship Between Hearing Aid Use and Cognitive Function in Older Americans. Journal of the American Geriatrics Society. 2018;66(6):1130-1136. doi:10.1111/jgs.15363.
Newsom JT, Jones RN, Hofer SM. Longitudinal Data Analysis: a Practical Guide for Researchers In Aging, Health, And Social Sciences. New York: Routledge; 2012.
Noël-Miller C. Longitudinal changes in disabled husbands' and wives' receipt of care. Gerontologist. 2010;50(5):681-93. doi:10.1093/geront/gnq028.
http://www.ncbi.nlm.nih.gov/pubmed/20382664?dopt=Abstract
Virtanen M, Jokela M, Lallukka T, et al. Long working hours and change in body weight: analysis of individual-participant data from 19 cohort studies. International Journal of Obesity. 2020;44:1368 - 1375. doi:10.1038/s41366-019-0480-3.
Virtanen M, Jokela M, Lallukka T, et al. Long working hours and change in body weight: analysis of individual-participant data from 19 cohort studies. International Journal of Obesity. 2020;44:1368 - 1375. doi:10.1038/s41366-019-0480-3.
Loci associated with ischaemic stroke and its subtypes (SiGN): a genome-wide association study. Lancet Neurol. 2015. doi:10.1016/S1474-4422(15)00338-5.
Lee DB, Kim ES, Neblett EW. The link between discrimination and telomere length in African American adults. Health Psychology. 2017;36(5):458-467. doi:10.1037/hea0000450.
http://www.ncbi.nlm.nih.gov/pubmed/28425738?dopt=Abstract