HRS Bibliography

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Bergmans RS, Zivin K, Mezuk B. Depression, food insecurity and diabetic morbidity: Evidence from the Health and Retirement Study. Journal of Psychosomatic Research. 2019;117:22-29. doi:10.1016/j.jpsychores.2018.12.007.
http://www.ncbi.nlm.nih.gov/pubmed/30665592?dopt=Abstract
Zhao F. Depression trajectories of older adults in the transition to widowhood . Human Development and Family Studies. 2020;Doctor of Philosophy.
Muruthi JR, Zalla LC, Lewis DC. Depressive symptoms among aging Hispanic Americans: Longitudinal effects of positive spousal support and previous depressive symptoms. Journal of Aging and Health. 2020;32(5-6):481-490. doi:10.1177/0898264319825755.
Calvo E, Haverstick K, Zhivan NA. Determinants and Consequences of Moving Decisions for Older Homeowners. Boston: Center for Retirement Research at Boston College; 2009.
Beydoun HA, Beydoun MA, Alemu BT, et al. Determinants of COVID-19 Outcome as Predictors of Delayed Healthcare Services among Adults ≥50 Years during the Pandemic: 2006–2020 Health and Retirement Study. IJERPH. 2022;19:1-24.
McKee MM, Choi H, Wilson S, DeJonckheere MJ, Zazove P, Levy HG. Determinants of Hearing Aid Use Among Older Americans With Hearing Loss. The Gerontologist. 2019. doi:10.1093/geront/gny051.
Yang T, Zhu M, Xie X. The determinants of presenteeism: a comprehensive investigation of stress-related factors at work, health, and individual factors among the aging workforce. J Occup Health. 2016;58(1):25-35. doi:10.1539/joh.15-0114-OA.
http://www.ncbi.nlm.nih.gov/pubmed/26490428?dopt=Abstract
Zhao H, Andreyeva T. Diet Quality and Health in Older Americans. Nutrients. 2022;14(6):1198. doi:10.3390/nu14061198.
Zhao D, Huang Y, Wang B, et al. Dietary Intake Levels of Iron, Copper, Zinc, and Manganese in Relation to Cognitive Function: A Cross-Sectional Study. Nutrients. 2023;15(3). doi:10.3390/nu15030704.
Zhao D, Huang Y, Wang B, et al. Dietary Intake Levels of Iron, Copper, Zinc, and Manganese in Relation to Cognitive Function: A Cross-Sectional Study. Nutrients. 2023;15(3). doi:10.3390/nu15030704.
Zuniga KE, Bishop NJ, Turner AS. Dietary lutein and zeaxanthin are associated with working memory in an older population. Public Health Nutrition. 2020. doi:10.1017/S1368980019005020.
Bishop NJ, Ullevig S, Wang K, Zuniga KE. Dietary quality modifies the association between multimorbidity and change in mobility limitations among older Americans. Preventive Medicine. 2021;153:106721. doi:10.1016/j.ypmed.2021.106721.
Michaud P-C, Goldman DP, Lakdawalla D, Gailey A, Zheng Y. Differences in health between Americans and Western Europeans: Effects on longevity and public finance. Soc Sci Med. 2011;73(2):254-63. doi:10.1016/j.socscimed.2011.05.027.
http://www.ncbi.nlm.nih.gov/pubmed/21719178?dopt=Abstract
Ma Y, Hua R, Yang Z, Zhong B, Yan L, Xie W. Different hypertension thresholds and cognitive decline: a pooled analysis of three ageing cohorts. BMC Medicine. 2021;19(1):287. doi:10.1186/s12916-021-02165-4.
Chen S, Jones LA, Jiang S, et al. Difficulty and help with activities of daily living among older adults living alone during the COVID-19 pandemic: a multi-country population-based study. BMC Geriatrics. 2022;22(1):181. doi:10.1186/s12877-022-02799-w.
Chen S, Jones LA, Jiang S, et al. Difficulty and help with activities of daily living among older adults living alone during the COVID-19 pandemic: a multi-country population-based study. BMC Geriatrics. 2022;22(1):181. doi:10.1186/s12877-022-02799-w.
A Kraal Z, Sharifian N, Zaheed AB, Sol K, Zahodne LB. Dimensions of religious involvement represent positive pathways in cognitive aging. Research on Aging. 2019. doi:10.1177/0164027519862745.
http://www.ncbi.nlm.nih.gov/pubmed/31303123?dopt=Abstract
A Kraal Z, Sharifian N, Zaheed AB, Sol K, Zahodne LB. Dimensions of religious involvement represent positive pathways in cognitive aging. Research on Aging. 2019. doi:10.1177/0164027519862745.
http://www.ncbi.nlm.nih.gov/pubmed/31303123?dopt=Abstract
Kapteyn A, Lee J, Tassot C, Vonkova H, Zamarro G. Dimensions of Subjective Well-Being. Soc Indic Res. 2015;123(3):625-660. doi:10.1007/s11205-014-0753-0.
http://www.ncbi.nlm.nih.gov/pubmed/26316674?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
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
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
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