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The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences|October 24, 2019
On the Definition of Sarcopenia in the Presence of Aging and Obesity-Initial Results from UK BiobankJennifer Linge, Steven B Heymsfield, Olof Dahlqvist Leinhard
The American Journal of Clinical Nutrition|February 1, 2013
Clinical utility of visceral adipose tissue for the identification of cardiometabolic risk in white and African American adultsPeter T Katzmarzyk, Steven B Heymsfield, Claude Bouchard
American Journal of Human Biology : the Official Journal of the Human Biology Council|September 5, 2001
History of the study of human body composition: A brief reviewZiMian Wang, Zhong-Ming Wang, Steven B. Heymsfield
Journal of Epidemiology and Community Health|April 15, 2014
Dietary pattern trajectories during 15 years of follow-up and HbA1c, insulin resistance and diabetes prevalence among Chinese adultsCarolina Batis, Michelle A Mendez, Daniela Sotres-Alvarez, et al.
Health & Place|June 9, 2014
Multilevel examination of the association of urbanization with inflammation in Chinese adultsAmanda L Thompson, Kelly M Houck, Linda Adair, et al.
Statistics in Medicine|November 17, 2021
A doubly robust method to handle missing multilevel outcome data with application to the China Health and Nutrition SurveyNicole M Butera, Donglin Zeng, Annie Green Howard, et al.
American Journal of Epidemiology|December 18, 2014
Spatial-temporal modeling of neighborhood sociodemographic characteristics and food storesArchana P Lamichhane, Joshua L Warren, Marc Peterson, et al.
Plos One|February 21, 2015
Characterizing long-term patterns of weight change in China using latent class trajectory modelingLauren Paynter, Elizabeth Koehler, Annie Green Howard, et al.
Current Biology : CB|October 26, 2021
Historical body temperature records as a population-level 'thermometer' of physical activity in the United StatesAndrew K Yegian, Steven B Heymsfield, Daniel E Lieberman
Journal of the Academy of Nutrition and Dietetics|June 22, 2012
Rate of weight loss can be predicted by patient characteristics and intervention strategiesElissa Finkler, Steven B Heymsfield, Marie-Pierre St-Onge
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