HRS Bibliography

Bibliography Search
Export 193 results:
Filters: First Letter Of Last Name is I  [Clear All Filters]

D

Infurna FJ, Gerstorf D, Ryan LH, Smith J. Dynamic links between memory and functional limitations in old age: longitudinal evidence for age-based structural dynamics from the AHEAD study. Psychol Aging. 2011;26(3):546-58. doi:10.1037/a0023023.
http://www.ncbi.nlm.nih.gov/pubmed/21480716?dopt=Abstract
Shiovitz-Ezra S, Parag O, Litwin H. Does Physical Activity Mediate the Effect of Loneliness on Inflammatory and Metabolic Processes?. In: Gouveia AProf. Élv, Gouveia DBruna Raqu, Marques PAdilson, Ihle DAndreas, eds. Geriatric Medicine and Healthy Aging. Geriatric Medicine and Healthy Aging. Rijeka: IntechOpen; 2022. doi:10.5772/intechopen.104915.
Graff M, Justice AE, Young KL, et al. Discovery and fine-mapping of height loci via high-density imputation of GWASs in individuals of African ancestry. The American Journal of Human Genetics. 2021;108(4):564-582. doi:10.1016/j.ajhg.2021.02.011.
Graff M, Justice AE, Young KL, et al. Discovery and fine-mapping of height loci via high-density imputation of GWASs in individuals of African ancestry. The American Journal of Human Genetics. 2021;108(4):564-582. doi:10.1016/j.ajhg.2021.02.011.
C Y Ng M, Graff M, Lu Y, et al. Discovery and fine-mapping of adiposity loci using high density imputation of genome-wide association studies in individuals of African ancestry: African Ancestry Anthropometry Genetics Consortium. PLoS Genetics. 2017;13(4):e1006719. doi:10.1371/journal.pgen.1006719.
C Y Ng M, Graff M, Lu Y, et al. Discovery and fine-mapping of adiposity loci using high density imputation of genome-wide association studies in individuals of African ancestry: African Ancestry Anthropometry Genetics Consortium. PLoS Genetics. 2017;13(4):e1006719. doi:10.1371/journal.pgen.1006719.
Joshi PK, Esko T, Mattsson H, et al. Directional dominance on stature and cognition in diverse human populations. Nature. 2015;523(7561):459-62. doi:10.1038/nature14618.
http://www.ncbi.nlm.nih.gov/pubmed/26131930?dopt=Abstract
Joshi PK, Esko T, Mattsson H, et al. Directional dominance on stature and cognition in diverse human populations. Nature. 2015;523(7561):459-62. doi:10.1038/nature14618.
http://www.ncbi.nlm.nih.gov/pubmed/26131930?dopt=Abstract
Fong TG, Jones RN, Rudolph JL, et al. Development and validation of a brief cognitive assessment tool: the sweet 16. Arch Intern Med. 2011;171(5):432-7. doi:10.1001/archinternmed.2010.423.
http://www.ncbi.nlm.nih.gov/pubmed/21059967?dopt=Abstract
Davydow DS, Hough CL, Langa KM, Iwashyna TJ. Depressive symptoms in spouses of older patients with severe sepsis. Crit Care Med. 2012;40(8):2335-41. doi:10.1097/CCM.0b013e3182536a81.
http://www.ncbi.nlm.nih.gov/pubmed/22635049?dopt=Abstract
Sirdari MZangeneh, M. Islam A, Awang N. Dependence in binary outcomes: A quadratic exponential model approach. Bulletin of the Malaysian Mathematical Sciences Society. 2014;37(1):129-137.
Iekel J. Decumulation: Another Barometer of the DB-DC Shift.
Govindan S, Shapiro L, Langa KM, Iwashyna TJ. Death certificates underestimate infections as proximal causes of death in the U.S. PLoS One. 2014;9(5):e97714. doi:10.1371/journal.pone.0097714.
http://www.ncbi.nlm.nih.gov/pubmed/24878897?dopt=Abstract

C

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.
Lee YSoo, Putnam M, Morrow-Howell N, Inoue M, Greenfield JC, Chen H. Consolidated measures of activity among older adults: results of a three data set comparison. Journal of Gerontological Social Work. 2019. doi:10.1080/01634372.2019.1582123.
http://www.ncbi.nlm.nih.gov/pubmed/30786817?dopt=Abstract
Dey R, M. Islam A. A conditional count model for repeated count data and its application to GEE approach. Statistical Papers. 2017;58(2):485-504. doi:10.1007/s00362-015-0708-9.
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
Ben-Avraham D, Karasik D, Verghese J, et al. The complex genetics of gait speed: genome-wide meta-analysis approach. Aging (Albany NY). 2017;9(1):209-246. doi:10.18632/aging.101151.
http://www.ncbi.nlm.nih.gov/pubmed/28077804?dopt=Abstract
Rietveld CA, Esko T, Davies G, et al. Common genetic variants associated with cognitive performance identified using the proxy-phenotype method. Proc Natl Acad Sci U S A. 2014;111(38):13790-4. doi:10.1073/pnas.1404623111.
http://www.ncbi.nlm.nih.gov/pubmed/25201988?dopt=Abstract
Rietveld CA, Esko T, Davies G, et al. Common genetic variants associated with cognitive performance identified using the proxy-phenotype method. Proc Natl Acad Sci U S A. 2014;111(38):13790-4. doi:10.1073/pnas.1404623111.
http://www.ncbi.nlm.nih.gov/pubmed/25201988?dopt=Abstract
Hülür G, Infurna FJ, Ram N, Gerstorf D. Cohorts based on decade of death: no evidence for secular trends favoring later cohorts in cognitive aging and terminal decline in the AHEAD study. Psychol Aging. 2013;28(1):115-27. doi:10.1037/a0029965.
http://www.ncbi.nlm.nih.gov/pubmed/23046001?dopt=Abstract
Dushi I, Iams HM. Cohort differences in wealth and pension participation of near-retirees. Soc Secur Bull. 2008;68(3):45-66.
http://www.ncbi.nlm.nih.gov/pubmed/19260617?dopt=Abstract
Robbins R, Sonnega A, II RWTurner, Jean-Louis G, Langa KM. COGNITIVE IMPAIRMENT AND SLEEP DIFFICULTIES OVER 10 YEARS IN A NATIONAL SAMPLE OF OLDER ADULTS. Innovation in Aging. 2019;3(Suppl 1):S453 - S453.