HRS Bibliography

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Noppert G, Stebbins R, Dowd J, Aiello AE. SOCIODEMOGRAPHIC DIFFERENCES IN IMMUNOSENESCENCE IN OLDER AGE: EVIDENCE FROM THE HEALTH AND RETIREMENT STUDY. Innovation in Aging. 2022;6(Suppl 1):447-448. doi:10.1093/geroni/igac059.1749.
Noppert GA, Stebbins RC, Dowd JBeam, Aiello AE. Socioeconomic and race/ethnic differences in immunosenescence: Evidence from the Health and Retirement Study. Brain, Behavior, and Immunity. 2023;107:361-368. doi:10.1016/j.bbi.2022.10.019.
Dowd JB, Aiello AE. Socioeconomic differentials in immune response. Epidemiology. 2009;20(6):902-8. doi:10.1097/EDE.0b013e3181bb5302.
http://www.ncbi.nlm.nih.gov/pubmed/19797966?dopt=Abstract
Schmitz LL, Zhao W, Ratliff SM, et al. The Socioeconomic Gradient in Epigenetic Ageing Clocks: Evidence from the Multi-Ethnic Study of Atherosclerosis and the Health and Retirement Study. Epigenetics. 2022;17(6):589-611. doi:10.1080/15592294.2021.1939479.
Stringhini S, Carmeli C, Jokela M, et al. Socioeconomic status, non-communicable disease risk factors, and walking speed in older adults: multi-cohort population based study. BMJ. 2018;360:k1046. doi:10.1136/bmj.k1046.
Stringhini S, Carmeli C, Jokela M, et al. Socioeconomic status, non-communicable disease risk factors, and walking speed in older adults: multi-cohort population based study. BMJ. 2018;360:k1046. doi:10.1136/bmj.k1046.
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
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
Li M, Li Y, Weeks O, et al. SOS2 and ACP1 Loci Identified through Large-Scale Exome Chip Analysis Regulate Kidney Development and Function. Journal of the American Society of Nephrology . 2017;28(3):981-994. doi:10.1681/ASN.2016020131.
Li M, Li Y, Weeks O, et al. SOS2 and ACP1 Loci Identified through Large-Scale Exome Chip Analysis Regulate Kidney Development and Function. Journal of the American Society of Nephrology . 2017;28(3):981-994. doi:10.1681/ASN.2016020131.
Li M, Li Y, Weeks O, et al. SOS2 and ACP1 Loci Identified through Large-Scale Exome Chip Analysis Regulate Kidney Development and Function. Journal of the American Society of Nephrology . 2017;28(3):981-994. doi:10.1681/ASN.2016020131.
Li M, Li Y, Weeks O, et al. SOS2 and ACP1 Loci Identified through Large-Scale Exome Chip Analysis Regulate Kidney Development and Function. Journal of the American Society of Nephrology . 2017;28(3):981-994. doi:10.1681/ASN.2016020131.
Li M, Li Y, Weeks O, et al. SOS2 and ACP1 Loci Identified through Large-Scale Exome Chip Analysis Regulate Kidney Development and Function. Journal of the American Society of Nephrology . 2017;28(3):981-994. doi:10.1681/ASN.2016020131.
Li M, Li Y, Weeks O, et al. SOS2 and ACP1 Loci Identified through Large-Scale Exome Chip Analysis Regulate Kidney Development and Function. Journal of the American Society of Nephrology . 2017;28(3):981-994. doi:10.1681/ASN.2016020131.
Du C, Dong XQ, Katz B, Li M. Source of perceived social support and cognitive change: an 8-year prospective cohort study. Aging & Mental Health. Forthcoming. doi:10.1080/13607863.2022.2126433.
Du C, Dong XQ, Katz B, Li M. Source of perceived social support and cognitive change: an 8-year prospective cohort study. Aging & Mental Health. Forthcoming. doi:10.1080/13607863.2022.2126433.
Hurd MD, Rohwedder S. Spending Patterns in the Older Population. In: Drolet A, Schwarz N, Yoon C, eds. Aging Consumer: Perspectives from Psychology and Economics. Aging Consumer: Perspectives from Psychology and Economics. New York: Routledge; 2010:25-49.
M. Glymour M, DeFries T, Kawachi I, Avendano M. Spousal smoking and incidence of first stroke: the Health and Retirement Study. Am J Prev Med. 2008;35(3):245-8. doi:10.1016/j.amepre.2008.05.024.
http://www.ncbi.nlm.nih.gov/pubmed/18692737?dopt=Abstract
Dorn S, Shang B. Spurring enrollment in Medicare savings programs through a substitute for the asset test focused on investment income. Health Aff (Millwood). 2012;31(2):367-75. doi:10.1377/hlthaff.2011.0443.
http://www.ncbi.nlm.nih.gov/pubmed/22323167?dopt=Abstract
Davies PS. SSI Eligibility and Participation Among the Oldest Old: Evidence from the AHEAD. Social Security Bulletin. 2003;64(3).
Szinovacz ME, Davey A. Stability and change in financial transfers from adult children to older parents. Can J Aging. 2012;31(4):367-78. doi:10.1017/S0714980812000372.
http://www.ncbi.nlm.nih.gov/pubmed/23217582?dopt=Abstract
Ekerdt DJ, DeViney S, Kosloski K. Stability and Change in Plans for Retirement. University of Michigan; 1996.
de la Torre-Luque A, de la Fuente J, Sánchez-Niubó A, et al. Stability of clinically relevant depression symptoms in old-age across 11 cohorts: a multi-state study. Acta Psychiatrica Scandinavica. 2019. doi:10.1111/acps.13107.
de la Torre-Luque A, de la Fuente J, Sánchez-Niubó A, et al. Stability of clinically relevant depression symptoms in old-age across 11 cohorts: a multi-state study. Acta Psychiatrica Scandinavica. 2019. doi:10.1111/acps.13107.