• N Jeanie Santaularia, Majel R Baker, Darin Erickson, Patricia Frazier, Melissa N Laska, Katherine Lust, and Susan M Mason.
• Division of Epidemiology and Community Health, University of Minnesota School of Public Health, 1300 S 2nd St Unit 300, Minneapolis, MN 55454, United States of America; Minnesota Population Center, University of Minnesota, 225 19th Ave S #50th, Minneapolis, MN 55455, United States of America. Electronic address: santa099@umn.edu.
• Prev Med. 2021 May 1; 146: 106455106455.

AbstractThe aim of this paper was to better understand how child and adult adversities cluster together into classes, and how these classes relate to body weight and obesity. Analyses included 2015 and 2018 data from emerging adults (18-25 years old) who participated in a state surveillance system of 2- and 4-year college students in Minnesota (N = 7475 in 2015 and N = 6683 in 2018). Latent Class Analyses (LCA) of 12 child and adult adversities were run stratified by gender and replicated between 2015 and 2018. The distal outcome procedure and three-step Bolck-Croon-Hagenaars approach were used to estimate predicted BMI means and predicted probabilities of obesity for each class, adjusted for covariates. The LCA identified seven classes in women and 5 in men. In women, BMI ranged from 23.9 kg/m2 in the lowest-BMI class ("Adult Adversities and Childhood Household Dysfunction"; 95% CI: 22.6-25.1) to 27.3 kg/m2 in the highest-BMI class ("High Lifetime Adversities"; 95% CI: 25.9-28.7), a statistically significant difference of 3.4 kg/m2. In men, the adjusted BMIs ranged from 24.6 kg/m2 ("Low Adversities"; 95% CI: 24.3-25.0) to 26.0 kg/m2 ("Childhood Household Mental Illness"; 95% CI: 25.1-26.9), a statistically significant difference of 1.4 kg/m2. The pattern was similar for obesity. These results indicate that specific classes of child and adult adversities are strongly associated with BMI and obesity, particularly in women. A key contribution of LCA appeared to be identification of small classes at high risk for excess weight.Copyright © 2021 Elsevier Inc. All rights reserved.

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