Anna Zajacova1, Snehalata Huzurbazar2, Mark Greenwood3, Huong Nguyen4. 1. University of Wyoming, Laramie, USA zajacova@uwyo.edu. 2. University of Wyoming, Laramie, USA. 3. Montana State University, Bozeman, USA. 4. Ohio State University, Columbus, USA.
Abstract
OBJECTIVE: This project contributes to the emerging research that aims to identify distinct body mass index (BMI) trajectory types in the population. We identify clusters of long-term BMI curves among older adults and determine how the clusters differ with respect to initial health. METHOD: Health and Retirement Study cohort (N = 9,893) with BMI information collected in up to 10 waves (1992-2010) is analyzed using a powerful cutting-edge approach: hierarchical clustering of BMI functions estimated via the Principal Analysis by Conditional Expectations (PACE) algorithm. RESULTS: Three BMI trajectory clusters emerged for each gender: stable, gaining, and losing. The initial health of the gaining and stable groups in both genders was comparable; the losing cluster experienced significantly poorer health at baseline. DISCUSSION: BMI trajectories among older adults cluster into distinct types in both genders, and the clusters vary substantially in initial health. Weight loss but not gain is associated with poor initial health in this age group.
OBJECTIVE: This project contributes to the emerging research that aims to identify distinct body mass index (BMI) trajectory types in the population. We identify clusters of long-term BMI curves among older adults and determine how the clusters differ with respect to initial health. METHOD: Health and Retirement Study cohort (N = 9,893) with BMI information collected in up to 10 waves (1992-2010) is analyzed using a powerful cutting-edge approach: hierarchical clustering of BMI functions estimated via the Principal Analysis by Conditional Expectations (PACE) algorithm. RESULTS: Three BMI trajectory clusters emerged for each gender: stable, gaining, and losing. The initial health of the gaining and stable groups in both genders was comparable; the losing cluster experienced significantly poorer health at baseline. DISCUSSION: BMI trajectories among older adults cluster into distinct types in both genders, and the clusters vary substantially in initial health. Weight loss but not gain is associated with poor initial health in this age group.
Authors: Christine G Lee; Edward J Boyko; Carrie M Nielson; Marcia L Stefanick; Douglas C Bauer; Andrew R Hoffman; Thuy-Tien L Dam; Jodi A Lapidus; Peggy Mannen Cawthon; Kristine E Ensrud; Eric S Orwoll Journal: J Am Geriatr Soc Date: 2011-02-02 Impact factor: 5.562
Authors: James M Nonnemaker; Antonio A Morgan-Lopez; Joanne M Pais; Eric A Finkelstein Journal: Obesity (Silver Spring) Date: 2009-02-19 Impact factor: 5.002
Authors: Jana Nano; Klodian Dhana; Taulant Muka; Oscar H Franco; Eralda Asllanaj; Eric Sijbrands; M Arfan Ikram; Abbas Dehghan Journal: Obesity (Silver Spring) Date: 2020-05-07 Impact factor: 5.002
Authors: Raphael Simon Peter; Ferdinand Keller; Jochen Klenk; Hans Concin; Gabriele Nagel Journal: Medicine (Baltimore) Date: 2016-12 Impact factor: 1.817