HRS Bibliography
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O
Obesity and excess mortality among the elderly in the United States and Mexico. Demography. 2010;47(1):79-96. doi:10.1353/dem.0.0085.
. http://www.ncbi.nlm.nih.gov/pubmed/20355685?dopt=Abstract
N
Novel Methods and Data Sources for Surveillance of State-Level Diabetes and Prediabetes Prevalence. Preventing Chronic Disease. 2017;14. doi:10.5888/pcd14.160572.
New Blood Pressure-Associated Loci Identified in Meta-Analyses of 475 000 Individuals. Circulation: Cardiovascular Genetics. 2017;10(5):e001778. doi:10.1161/CIRCGENETICS.117.001778.
New alcohol-related genes suggest shared genetic mechanisms with neuropsychiatric disorders. Nature Human Behaviour. 2019;3(9):950-961. doi:10.1038/s41562-019-0653-z.
New alcohol-related genes suggest shared genetic mechanisms with neuropsychiatric disorders. Nature Human Behaviour. 2019;3(9):950-961. doi:10.1038/s41562-019-0653-z.
New alcohol-related genes suggest shared genetic mechanisms with neuropsychiatric disorders. Nature Human Behaviour. 2019;3(9):950-961. doi:10.1038/s41562-019-0653-z.
Net versus Gross Measure of Monetary Transfers in Intergenerational Exchange Studies. University of Kent; 2019.
. Neighborhood Environment and Falls among Community-Dwelling Older Adults. International Journal of Environmental Research and Public Health. 2017;14(2). doi:10.3390/ijerph14020175.
. Neighborhood Cohesion Across the Life Course and Effects on Cognitive Aging. J Gerontol B Psychol Sci Soc Sci. 2023. doi:10.1093/geronb/gbad095.
. Neighborhood Characteristics and Inflammation among Older Black Americans: The Moderating Effects of Hopelessness and Pessimism. The Journals of Gerontology: Series A. 2022;77(2):e82-e88. doi:10.1093/gerona/glab121.
Negative wealth shock and short-term changes in depressive symptoms and medication adherence among late middle-aged adults. Journal of Epidemiology and Community Health. 2017;71(8):758-763. doi:10.1136/jech-2016-208347.
. http://www.ncbi.nlm.nih.gov/pubmed/28416571?dopt=Abstract
M
A multistate transition model for analyzing diseases in elderly population. World Applied Sciences Journal. 2013;21(12):1700-1707. doi: 10.5829/idosi.wasj.2013.21.12.2570.
. MULTIMORBIDITY TRAJECTORY CLASSES AS PREDICTED BY RACE, ETHNICITY, AND SOCIAL RELATIONSHIP QUALITY. Innovation in Aging. 2021;5(Suppl _1):873.
MULTIMORBIDITY TRAJECTORY CLASSES AS PREDICTED BY RACE, ETHNICITY, AND SOCIAL RELATIONSHIP QUALITY. Innovation in Aging. 2021;5(Suppl _1):873.
Multimorbidity Progression among Medicare Beneficiaries in the Health and Retirement Study (1992-2014). Innovation in Aging. 2021;5(Suppl 1):614. doi:10.1093/geroni/igab046.2347.
Multimorbidity Progression among Medicare Beneficiaries in the Health and Retirement Study (1992-2014). Innovation in Aging. 2022;5(Suppl 1):614. doi:10.1093/geroni/igab046.2347.
Multimorbidity Progression among Medicare Beneficiaries in the Health and Retirement Study (1992-2014). Innovation in Aging. 2021;5(Suppl 1):614. doi:10.1093/geroni/igab046.2347.
Multimorbidity Progression among Medicare Beneficiaries in the Health and Retirement Study (1992-2014). Innovation in Aging. 2022;5(Suppl 1):614. doi:10.1093/geroni/igab046.2347.
Multimorbidity Accumulation Among Middle-Aged Americans: Differences by Race/Ethnicity and Body Mass Index. The Journals of Gerontology: Series A . 2022;77(2):e89-e97. doi:10.1093/gerona/glab116.
Multimorbidity Accumulation Among Middle-Aged Americans: Differences by Race/Ethnicity and Body Mass Index. The Journals of Gerontology: Series A . 2022;77(2):e89-e97. doi:10.1093/gerona/glab116.
Multidimensional trajectories of multimorbidity, functional status, cognitive performance, and depressive symptoms among diverse groups of older adults. Journal of Multimorbidity and Comorbidity. 2022;12:26335565221143012. doi:10.1177/26335565221143012.
Multidimensional trajectories of multimorbidity, functional status, cognitive performance, and depressive symptoms among diverse groups of older adults. Journal of Multimorbidity and Comorbidity. 2022;12:26335565221143012. doi:10.1177/26335565221143012.
Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity. Nature Communications. 2019;10(1):376. doi:10.1038/s41467-018-08008-w.
Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity. Nature Communications. 2019;10(1):376. doi:10.1038/s41467-018-08008-w.
Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity. Nature Communications. 2019;10(1):376. doi:10.1038/s41467-018-08008-w.