Karlamangla, Arun S.
University of California, Los Angeles
14 papers on CoChatORCID 0000-0003-2293-6064
Most cited papers
- Verified
Relative Muscle Mass Is Inversely Associated with Insulin Resistance and Prediabetes. Findings from The Third National Health and Nutrition Examination Survey
Srikanthan, P., & Karlamangla, A. S. (2011) · The Journal of Clinical Endocrinology & Metabolism
Diabetes, Cardiovascular Risks, and LipoproteinsBody Composition Measurement Techniques
Cited by 785
- Verified
Sarcopenia Exacerbates Obesity-Associated Insulin Resistance and Dysglycemia: Findings from the National Health and Nutrition Examination Survey III
Srikanthan, P., Hevener, A. L., & Karlamangla, A. S. (2010) · PLoS ONE
Nutrition and Health in AgingDiabetes, Cardiovascular Risks, and Lipoproteins
Cited by 600
- Verified
Socio‐economic differentials in peripheral biology: Cumulative allostatic load
Seeman, T., Epel, E., Gruenewald, T., Karlamangla, A., & McEwen, B. S. (2010) · Annals of the New York Academy of Sciences
Health disparities and outcomesStress Responses and Cortisol
Cited by 579
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Changes in body composition and weight during the menopause transition
Greendale, G. A., Sternfeld, B., Huang, M., Han, W., Karvonen-Gutierrez, C., Ruppert, K., Cauley, J. A., Finkelstein, J. S., Jiang, S.-F., & Karlamangla, A. S. (2019) · JCI Insight
Menopause: Health Impacts and TreatmentsBone health and osteoporosis research
Cited by 491
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Allostatic load as a predictor of functional decline
Karlamangla, A. S., Singer, B. H., McEwen, B. S., Rowe, J. W., & Seeman, T. E. (2002) · Journal of Clinical Epidemiology
Health disparities and outcomesFrailty in Older Adults
Cited by 483
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Muscle Mass Index As a Predictor of Longevity in Older Adults
Srikanthan, P., & Karlamangla, A. S. (2014) · The American Journal of Medicine
Nutrition and Health in AgingBody Composition Measurement Techniques
Cited by 382
- Verified
Disability trends among older Americans: National Health and Nutrition Examination Surveys, 1988-1994 and 1999-2004
Seeman, T. E., Merkin, S. S., Crimmins, E. M., & Karlamangla, A. S. (2010) · American Journal of Public Health
Aging, Health, and DisabilityHealth disparities and outcomes
Cited by 356
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Personality Trait Level and Change as Predictors of Health Outcomes: Findings From a National Study of Americans (MIDUS)
Turiano, N. A., Pitzer, L., Armour, C., Karlamangla, A., Ryff, C. D., & Mroczek, D. K. (2012) · The Journals of Gerontology: Series B
Personality Traits and PsychologyHealth disparities and outcomes
Cited by 276
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Homocysteine versus the vitamins folate, B6, and B12 as predictors of cognitive function and decline in older high-functioning adults: MacArthur Studies of Successful Aging
Kado, D. M., Karlamangla, A. S., Huang, M.-H., Troen, A., Rowe, J. W., Selhub, J., & Seeman, T. E. (2005) · The American Journal of Medicine
Folate and B Vitamins ResearchDementia and Cognitive Impairment Research
Cited by 268
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Combinations of biomarkers predictive of later life mortality
Gruenewald, T. L., Seeman, T. E., Ryff, C. D., Karlamangla, A. S., & Singer, B. H. (2006) · Proceedings of the National Academy of Sciences
Frailty in Older AdultsHealth disparities and outcomes
Cited by 242
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Urinary cortisol excretion as a predictor of incident cognitive impairment
Karlamangla, A. S., Singer, B. H., Chodosh, J., McEwen, B. S., & Seeman, T. E. (2005) · Neurobiology of Aging
Dementia and Cognitive Impairment ResearchStress Responses and Cortisol
Cited by 112
- Verified
Social strain and cortisol regulation in midlife in the US
Friedman, E. M., Karlamangla, A. S., Almeida, D. M., & Seeman, T. E. (2012) · Social Science & Medicine
Stress Responses and CortisolHealth disparities and outcomes
Cited by 71
- Verified
Longitudinal assessment of physical activity and cognitive outcomes among women at midlife
Greendale, G. A., Han, W., Huang, M., Upchurch, D. M., Karvonen-Gutierrez, C., Avis, N. E., & Karlamangla, A. S. (2021) · JAMA Network Open
Dementia and Cognitive Impairment ResearchPhysical Activity and Health
Cited by 37
- Verified
Compared to non-drinkers, individuals who drink alcohol have a more favorable multisystem physiologic risk score as measured by allostatic load
Goldwater, D., Karlamangla, A., Merkin, S. S., & Seeman, T. (2019) · PLOS ONE
Alcohol Consumption and Health EffectsSubstance Abuse Treatment and Outcomes
Cited by 19
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