HRS Bibliography

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2019

Shim H, Ailshire JA, Crimmins EM. CROSS-COUNTRY COMPARISON OF INTERNET USE AND DEPRESSION BY GENDER: THE ROLE OF INTERGENERATIONAL FACTORS. Innovation in Aging. 2019;3(Suppl 1):S330 - S331.
Robinette JW, Boardman JD, Crimmins EM. Differential vulnerability to neighbourhood disorder: a gene×environment interaction study. Journal of Epidemiology & Community Health. 2019;73(5):388–392. doi:10.1136/jech-2018-211373.
Robinette JW, Boardman JD, Crimmins EM. Differential vulnerability to neighbourhood disorder: a gene×environment interaction study. Journal of Epidemiology and Community Health. 2019;73(5):388-392. doi:10.1136/jech-2018-211373.
Thyagarajan B, Shippee N, Parsons H, et al. How Does Subjective Age Get “Under the Skin”? The Association Between Biomarkers and Feeling Older or Younger Than One’s Age: The Health and Retirement Study. Innovation in Aging. 2019;3(4). doi:10.1093/geroni/igz035.
Robinette JW, Boardman JD, Crimmins EM. Perceived neighborhood social cohesion and cardiometabolic risk: a gene x environment study. BIODEMOGRAPHY AND SOCIAL BIOLOGY. 2019;65(1):1-15. doi:10.1080/19485565.2019.1568672.
Farina MP, Hayward MD, Crimmins EM, Kim JKi. Racial and educational disparities in cognitive life expectancies. Journals of Gerontology Series B: Psychological Sciences and Social Sciences. 2019. doi:10.1093/geronb/gbz046.
http://www.ncbi.nlm.nih.gov/pubmed/31111926?dopt=Abstract

2020

Hu P, Lee J, Beaumaster S, et al. Cognitive Function and Cardiometabolic-Inflammatory Risk Factors Among Older Indians and Americans. Journal of the American Geriatrics Society. 2020;68 (Suppl 3):S36-S44. doi:10.1111/jgs.16734.
Crimmins EM, Zhang YS, Kim JKi, et al. Dried blood spots: Effects of less than optimal collection, shipping time, heat, and humidity. American Journal of Human Biology. 2020;n/a:e23390. doi:10.1002/ajhb.23390.
Stokes AC, Weiss J, Lundberg DJ, et al. Estimates of the Association of Dementia With US Mortality Levels Using Linked Survey and Mortality Records. JAMA Neurology. 2020. doi:https://doi.org/10.1001/jamaneurol.2020.2831.
Haghani A, Arpawong TE, Kim JKi, Lewinger JPablo, Finch CE, Crimmins EM. Female vulnerability to the effects of smoking on health outcomes in older people. PloS one. 2020;15(6). doi:10.1371/journal.pone.0234015.
32497122[pmid]
Choi YJin, Ailshire JA, Crimmins EM. Living alone, social networks in neighbourhoods, and daily fruit and vegetable consumption among middle-aged and older adults in the USA. Public Health Nutrition. 2020. doi:10.1017/S1368980020002475.
Banerjee J, Jain U, Khobragade PY, et al. Methodological considerations in designing and implementing the harmonized diagnostic assessment of dementia for longitudinal aging study in India (LASI-DAD). Biodemography and Social Biology. 2020;65(3):189-213. doi:10.1080/19485565.2020.1730156.
Laditka SB, Laditka JN, Jagger C. Microsimulation of Health Expectancies, Life Course Health, and Health Policy Outcomes. In: Jagger C, Crimmins EM, Saito Y, Yokota RTiene De C, Van Oyen H, Robine J-M, eds. International Handbooks of Population: International Handbook of Health Expectancies. Vol. 9. International Handbooks of Population: International Handbook of Health Expectancies. Basel: Springer International Publishing; 2020:129–138. doi:10.1007/978-3-030-37668-0_9.
Zhu Y, Chen Y, Crimmins EM, Zissimopoulos JM. Sex, Race, and Age Differences in Prevalence of Dementia in Medicare Claims and Survey Data. J Gerontol B Psychol Sci Soc Sci. 2020. doi:10.1093/geronb/gbaa083.
Crimmins EM. Social hallmarks of aging: Suggestions for geroscience research. Ageing Research Reviews. 2020. doi:https://doi.org/10.1016/j.arr.2020.101136.
Hunter-Schlichting DV, Lane J, Cole B, et al. Validation of a hybrid approach to standardize immunophenotyping analysis in large population studies: The Health and Retirement Study. Scientific Reports. 2020;10. doi:10.1038/s41598-020-65016-x.