HRS Bibliography

Bibliography Search
Export 1028 results:
Filters: First Letter Of Last Name is F  [Clear All Filters]

S

Weinstein M, Willis RJ. Stretching Social Surveys to Include Bioindicators: Possibilities for the Health and Retirement Study, Experience from The Taiwan Study of the Elderly. In: Finch CE, Vaupel JW, Kinsella K, eds. Cells and Surveys: Should Biological Measures Be Included in Social Research?. Cells and Surveys: Should Biological Measures Be Included in Social Research? National Academy Press; 2001.
Willis M, Staudinger UM, Factor-Litvak P, Calvo E. Stress and salivary telomere length in the second half of life: A comparison of life-course models. Advances in Life Course Research. 2019;39:34-41. doi:10.1016/j.alcr.2019.02.001.
Walsemann KM, Hair NL, Farina MP, Tyagi P, Jackson H, Ailshire JA. State-level desegregation in the U.S. South and mid-life cognitive function among Black and White adults. Social Science & Medicine (1983). Forthcoming;338:116319. doi:10.1016/j.socscimed.2023.116319.
Chen Y, Fang H. The State of Mental Health Among the Elderly Chinese. Cambridge, MA: National Bureau of Economic Research; 2020. doi:10.3386/w26690.
Farnham MP, Sevak P. State Fiscal Institutions and Empty-Nest Migration: Are Tiebout voters hobbled?. Journal of Public Economics. 2006;90(3):407 -427. doi:https://doi.org/10.1016/j.jpubeco.2005.07.005.
Fletcher JM. Spousal concordance in telomere length: New evidence from older adults in the US. PLoS One. 2018;13(11):e0202388. doi:10.1371/journal.pone.0202388.
http://www.ncbi.nlm.nih.gov/pubmed/30383762?dopt=Abstract
Falba T, Sindelar JL. Spousal concordance in health behavior change. Health Serv Res. 2008;43(1 Pt 1):96-116. doi:10.1111/j.1475-6773.2007.00754.x.
http://www.ncbi.nlm.nih.gov/pubmed/18211520?dopt=Abstract
Fang H, Keane MP, Silverman DS. Sources of Advantageous Selection: Evidence from the Medigap Insurance Market. Journal of Political Economy. 2008;116(2):303-350. doi:https://doi.org/10.1086/587623.
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.
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.
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
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.
Klopack ET, Thyagarajan B, Faul J, et al. Socioeconomic status and immune aging in older US adults in the health and retirement study. Biodemography and Social Biology. 2022;67(3-4):187-202. doi:10.1080/19485565.2022.2149465.
Frytak JR, Harley CR, Finch MD. Socioeconomic Status and Health over the Life Course: Capital as a Unifying Concept. In: Mortimer JT, Shanahan MJ, eds. Handbook of the Life Course. Handbook of the Life Course. New York: Kluwer Academic/Plenum Publishers; 2003:623-643. doi:10.1007/978-0-306-48247-2_28.
Frytak JR, Harley CR, Finch MD. Socioeconomic Status and Health over the Life Course: Capital as a Unifying Concept. In: Mortimer JT, Shanahan MJ, eds. Handbook of the Life Course. Handbook of the Life Course. New York: Kluwer Academic/Plenum Publishers; 2003:623-643. doi:10.1007/978-0-306-48247-2_28.
Cha H, Farina MP, Hayward MD. Socioeconomic status across the life course and dementia-status life expectancy among older Americans. SSM - Population Health. 2021;15:100921. doi:10.1016/j.ssmph.2021.100921.
Shaw BA, McGeever K, Vasquez E, Agahi N, Fors S. Socioeconomic inequalities in health after age 50: Are health risk behaviors to blame?. Social Science and Medicine. 2014;101:52-60. doi:10.1016/j.socscimed.2013.10.040.
Gharzeddine R, Cypress B, Dahan T, Fu MR. Sociodemographic characteristics, lifestyle behaviors, and symptoms associated with fluid overload among non-hospitalized and community-dwelling older adults with heart failure: A population-based approach. Geriatr Nurs. 2023;53:66-71. doi:10.1016/j.gerinurse.2023.06.017.