HRS Bibliography

Bibliography Search
Export 740 results:
Filters: First Letter Of Last Name is A  [Clear All Filters]

Journal Article

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
Bardenheier BH, Lin J, Zhuo X, et al. Compression of disability between two birth cohorts of US adults with diabetes, 1992-2012: a prospective longitudinal analysis. Lancet Diabetes Endocrinol. 2016;4(8):686-694. doi:10.1016/S2213-8587(16)30090-0.
http://www.ncbi.nlm.nih.gov/pubmed/27298181?dopt=Abstract
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.
Ayanian JZ, Covinsky KE, Landon BE, McCarthy E, Wee CC, Steinman MA. Conducting High-Value Secondary Dataset Analysis: An Introductory Guide and Resources. Journal of General Internal Medicine. 2011;26(8):920-929. doi:10.1007/s11606-010-1621-5.
Turvey CL, Carney C, Arndt S, Wallace RB, Herzog AR. Conjugal loss and syndromal depression in a sample of elders aged 70 years or older. Am J Psychiatry. 1999;156(10):1596-601. doi:10.1176/ajp.156.10.1596.
http://www.ncbi.nlm.nih.gov/pubmed/10518172?dopt=Abstract
Airaksinen J, Gluschkoff K, Kivimäki M, Jokela M. Connectivity of depression symptoms before and after diagnosis of a chronic disease: A network analysis in the U.S. Health and Retirement Study. Journal of Affective Disorders. 2020;266:230 - 234. doi:https://doi.org/10.1016/j.jad.2020.01.170.
Shnayder MM, Montgomery JR, Abrahamse P, Suwanabol PA. Considering self-reported baseline function and cognition in predicting post-operative complications among older adults. Annals of palliative medicine. 2020. doi:10.21037/apm-20-816.
Kutlu-Koc V, Alessie RJM, Kalwij A. Consumption behavior, annuity income and mortality risk of retirees. (Netherlands) Economist. 2017;165(3):349-380. doi:10.1007/s10645-017-9301-z.
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. Hum Mol Genet. 2015;24(12):3582-94. doi:10.1093/hmg/ddv097.
http://www.ncbi.nlm.nih.gov/pubmed/25784503?dopt=Abstract
Pare G, Asma S, Deng WQ. Contribution of large region joint associations to complex traits genetics. PLoS Genet. 2015;11(4):e1005103. doi:10.1371/journal.pgen.1005103.
http://www.ncbi.nlm.nih.gov/pubmed/25856144?dopt=Abstract
Wang Y, Shen H, Wong R, Amano T. CORRELATES AND HEALTH OUTCOMES OF LONG-TERM VOLUNTEERING: EVIDENCE FROM 16 YEARS OF THE HEALTH AND RETIREMENT STUDY. Innovation in Aging. 2018;2:331-331. doi:10.1093/geroni/igy023.1211.
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.
Shim H, Ailshire JA, Crimmins EM. CROSS-COUNTRY COMPARISON OF INTERNET USE AND DEPRESSION BY GENDER: THE ROLE OF INTERGENERATIONAL FACTORS. Innovation in Aging. 2019;3(Suppl 1):S330 - S331.
Lee J, Phillips DF, Wilkens J, et al. Cross-Country Comparisons of Disability and Morbidity: Evidence from the Gateway to Global Aging Data. The Journals of Gerontology: Series A. 2018;73(11):1519-1524. doi:10.1093/gerona/glx224.
Calvo E, Allel K, Staudinger UM, Castillo-Carniglia A, Medina JT, Keyes KM. Cross-country differences in age trends in alcohol consumption among older adults: a cross-sectional study of individuals aged 50 years and older in 22 countries. Addiction. Forthcoming. doi:10.1111/add.15292.
Michaud P-C, vanSoest AHO, Andreyeva T. Cross-Country Variation in Obesity Patterns among Older Americans and Europeans. Forum for Health Economics and Policy (Aging and Medical Care Costs). 2007;10(2):32.
Ayalon L, Shiovitz-Ezra S, Roziner I. A cross-lagged model of the reciprocal associations of loneliness and memory functioning. Psychol Aging. 2016;31(3):255-61. doi:10.1037/pag0000075.
http://www.ncbi.nlm.nih.gov/pubmed/26974589?dopt=Abstract
Kim S, Sargent-Cox KA, French DJ, Kendig H, Anstey KJ. Cross-national insights into the relationship between wealth and wellbeing: a comparison between Australia, the United States of America and South Korea. Ageing and Society. 2012;32(1):41.
Xu D, Arling G, Wang K. A cross-sectional study of self-rated health among older adults: a comparison of China and the United States. BMJ Open. 2019;9(7):e027895. doi:10.1136/bmjopen-2018-027895.
http://www.ncbi.nlm.nih.gov/pubmed/31371288?dopt=Abstract
Yank V, Agarwal S, Loftus P, Asch S, Rehkopf D. Crowdsourced health data: Comparability to a US national survey, 2013–2015. American Journal of Public Health. 2017;107(8):1283-1289. doi:10.2105/AJPH.2017.303824.
Yank V, Agarwal S, Loftus P, Asch S, Rehkopf D. Crowdsourced health data: Comparability to a US national survey, 2013–2015. American Journal of Public Health. 2017;107(8):1283-1289. doi:10.2105/AJPH.2017.303824.
Dowd JB, Aiello AE, Chyu L, Huang Y-Y, McDade TW. Cytomegalovirus antibodies in dried blood spots: a minimally invasive method for assessing stress, immune function, and aging. Immunity & Ageing. 2011;8(1):3. doi:10.1186/1742-4933-8-3.
Gilligan AM, Alberts DS, Roe DJ, Skrepnek GH. Death or debt? National estimates of financial toxicity in persons with newly-diagnosed cancer. American Journal of Medicine. 2018;131(10):1187-1199. doi:10.1016/j.amjmed.2018.05.020.
http://www.ncbi.nlm.nih.gov/pubmed/29906429?dopt=Abstract
Ammerman DD, Stueve C, Hayward S. Debt, Religious Beliefs, and Life Satisfaction . Journal of Financial Therapy. 2019;10(2). doi:10.4148/1944-9771.1195.
Levinson Z, Adler-Milstein J. A decade of experience for high-needs beneficiaries under Medicare Advantage. Healthcare (Amsterdam). 2020;8(4). doi:10.1016/j.hjdsi.2020.100490.