HRS Bibliography

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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.
Xu X, Liang J, Bennett JM, Botoseneanu A, Allore HG. Socioeconomic stratification and multidimensional health trajectories: evidence of convergence in later old age. J Gerontol B Psychol Sci Soc Sci. 2015;70(4):661-71. doi:10.1093/geronb/gbu095.
http://www.ncbi.nlm.nih.gov/pubmed/25161216?dopt=Abstract
Xu X, Liang J, Bennett JM, Botoseneanu A, Allore HG. Socioeconomic stratification and multidimensional health trajectories: evidence of convergence in later old age. J Gerontol B Psychol Sci Soc Sci. 2015;70(4):661-71. doi:10.1093/geronb/gbu095.
http://www.ncbi.nlm.nih.gov/pubmed/25161216?dopt=Abstract
Mills MC, Barban N, Tropf FC. The Sociogenomics of Polygenic Scores of Reproductive Behavior and Their Relationship to Other Fertility Traits. RSF: The Russell Sage Foundation Journal of the Social Sciences. 2018;4(4):122-136. doi:10.7758/rsf.2018.4.4.07.
Brown SL, Mellencamp KA, Lin I-F. Sole Family Survivors: Older Adults Lacking Family of Origin Kin. The Journals of Gerontology, Series B. 2022;77(5):930-935. doi:10.1093/geronb/gbab239.
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.
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.
Bosworth B, Burtless GT, Zhang K. Sources of Increasing Differential Mortality Among the Aged by Socioeconomic Status. Boston College; 2015.
Bosworth B, Burtless GT, Zhang K. Sources of Increasing Differential Mortality Among the Aged by Socioeconomic Status. Boston College; 2015.
Wilson RS, Weir DR, Leurgans SE, et al. Sources of variability in estimates of the prevalence of Alzheimer's disease in the United States. Alzheimers Dement. 2011;7(1):74-9. doi:10.1016/j.jalz.2010.11.006.
http://www.ncbi.nlm.nih.gov/pubmed/21255745?dopt=Abstract
Sharma M, Babiarz P. Spending behavior and stimulus transfer use in response to income shocks among older Americans: evidence from the COVID-19 pandemic. Applied Economics Letters. 2023;30(12):1680-1684. doi:10.1080/13504851.2022.2078774.
Wolfe B, Brazier R. Spending in retirement…or not?. New York City, NY: BlackRock; 2017.
Han SHwang, Kim K, Burr JA. Spousal Activity Limitations and Depressive Symptoms: Benefits of Spousal Caregiving and Costs of Spousal Pain. Innovation in Aging. 2020;4(Suppl 1):354. doi:10.1093/geroni/igaa057.1138.
Ornstein KA, Wolff JL, Bollens-Lund E, Rahman O-K, Kelley A. Spousal caregivers are caregiving alone in the last years of life. Health Affairs. 2019;38(6):964-972. doi:10.1377/hlthaff.2019.00087.
Boyle MA, Lahey JN. Spousal labor market effects from government health insurance: Evidence from a veterans affairs expansion. J Health Econ. 2016;45:63-76. doi:10.1016/j.jhealeco.2015.11.005.
http://www.ncbi.nlm.nih.gov/pubmed/26734757?dopt=Abstract
Chen P, Botticello AL. Spouses of stroke survivors may be at risk for poor cognitive functioning: a cross-sectional population-based study. Top Stroke Rehabil. 2013;20(4):369-78. doi:10.1310/tsr2004-369.
http://www.ncbi.nlm.nih.gov/pubmed/23893836?dopt=Abstract