HRS Bibliography

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2021

Faul J, Ware EB, Kabeto MU, Fisher J, Langa KM. The Effect of Childhood Socioeconomic Position and Social Mobility on Cognitive Function and Change Among Older Adults: A Comparison Between the United States and England. The Journals of Gerontology: Series B . 2021;76(Supplement_1):S51-S63. doi:10.1093/geronb/gbaa138.
Luo H, Tan C, Adhikari S, et al. Effects of the Co-occurrence of Diabetes Mellitus and Tooth Loss on Cognitive Function. Current Alzheimer Research. 2021;18(13):1023-1031. doi:10.2174/1567205019666211223093057.
Byrne KA, Anaraky RGhaiumy, Dye C, et al. Examining Rural and Racial Disparities in the Relationship Between Loneliness and Social Technology Use Among Older Adults. Frontiers in Public Health. 2021;9:1280. doi:10.3389/fpubh.2021.723925.
Gonzales GErnest, Lee YJane, Marchiondo LA. Exploring the Consequences of Major Lifetime Discrimination, Neighborhood Conditions, Chronic Work, and Everyday Discrimination on Health and Retirement. Journal of Applied Gerontology. 2021;40(2):121-131. doi:https://doi.org/10.1177/0733464819892847.
Choi H, Heisler MM, Norton EC, Langa KM, Cho T-C, Connell CM. Family Care Availability And Implications For Informal And Formal Care Used By Adults With Dementia In The US. Health Affairs. 2021;40(9):1359-1367. doi:10.1377/hlthaff.2021.00280.
Ailshire JA, Osuna M, Wilkens J, Lee J. Family caregiving and place of death: Insights from cross-national analysis of the Harmonized End of Life Data. The Journals of Gerontology: Series B . 2021;76(Supplement_1):S76-S85. doi:10.1093/geronb/gbaa225.
Liu Y, Zhang Y, Chatterjee S. Financial hardship and depression experienced by pre-retirees during the COVID-19 pandemic: the mitigating role of stimulus payments. Applied Economics Letters. 2021. doi:https://doi.org/10.1080/13504851.2021.1989364.
Abowd JM, Abramowitz J, Levenstein MC, et al. Finding Needles in Haystacks: Multiple-Imputation Record Linkage Using Machine Learning. United State Census Bureau; 2021.
Lee J, Phillips DF, Wilkens J. Gateway to Global Aging Data: Resources for Cross-National Comparisons of Family, Social Environment, and Healthy Aging. The Journals of Gerontology: Series B . 2021;76(Supplement_1):S5-S16. doi:10.1093/geronb/gbab050.
Fuentes Lde Las, Sung YJu, Noordam R, et al. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol Psychiatry. 2021;26(6):2111-2125. doi:10.1038/s41380-020-0719-3.
Fuentes Lde Las, Sung YJu, Noordam R, et al. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol Psychiatry. 2021;26(6):2111-2125. doi:10.1038/s41380-020-0719-3.
Fuentes Lde Las, Sung YJu, Noordam R, et al. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol Psychiatry. 2021;26(6):2111-2125. doi:10.1038/s41380-020-0719-3.
Fuentes Lde Las, Sung YJu, Noordam R, et al. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol Psychiatry. 2021;26(6):2111-2125. doi:10.1038/s41380-020-0719-3.
Fuentes Lde Las, Sung YJu, Noordam R, et al. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol Psychiatry. 2021;26(6):2111-2125. doi:10.1038/s41380-020-0719-3.
Fuentes Lde Las, Sung YJu, Noordam R, et al. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol Psychiatry. 2021;26(6):2111-2125. doi:10.1038/s41380-020-0719-3.
Fuentes Lde Las, Sung YJu, Noordam R, et al. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol Psychiatry. 2021;26(6):2111-2125. doi:10.1038/s41380-020-0719-3.
Fuentes Lde Las, Sung YJu, Noordam R, et al. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol Psychiatry. 2021;26(6):2111-2125. doi:10.1038/s41380-020-0719-3.
Fuentes Lde Las, Sung YJu, Noordam R, et al. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol Psychiatry. 2021;26(6):2111-2125. doi:10.1038/s41380-020-0719-3.
Fuentes Lde Las, Sung YJu, Noordam R, et al. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol Psychiatry. 2021;26(6):2111-2125. doi:10.1038/s41380-020-0719-3.
Fuentes Lde Las, Sung YJu, Noordam R, et al. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol Psychiatry. 2021;26(6):2111-2125. doi:10.1038/s41380-020-0719-3.
Fuentes Lde Las, Sung YJu, Noordam R, et al. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol Psychiatry. 2021;26(6):2111-2125. doi:10.1038/s41380-020-0719-3.
Fuentes Lde Las, Sung YJu, Noordam R, et al. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol Psychiatry. 2021;26(6):2111-2125. doi:10.1038/s41380-020-0719-3.
Fuentes Lde Las, Sung YJu, Noordam R, et al. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol Psychiatry. 2021;26(6):2111-2125. doi:10.1038/s41380-020-0719-3.
Fuentes Lde Las, Sung YJu, Noordam R, et al. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol Psychiatry. 2021;26(6):2111-2125. doi:10.1038/s41380-020-0719-3.