Title | Adolescent BMI trajectory and associations with adult metabolic syndrome and offspring obesity. |
Publication Type | Journal Article |
Year of Publication | 2023 |
Authors | Frank, DM, Bradshaw, PT, Mujahid, M, Epel, E, Lararia, BA |
Journal | Obesity (Silver Spring) |
Date Published | 2023 May 25 |
ISSN | 1930-739X |
Abstract | OBJECTIVE: This study examined the association of adolescent BMI trajectory with adult metabolic syndrome (MetSyn) and with intergenerational obesity. METHODS: This study used data from the National Heart, Lung, and Blood Institute (NHLBI) Growth and Health Study (1987-1997). Data from the 20-year follow-up (2016-2019) study were included from the original participants (N = 624) and their children (N = 645). Adolescent BMI trajectories were identified using latent trajectory modeling. Mediation analysis using logistic regression models was performed to estimate confounder-adjusted odds ratios (OR) and 95% CI between adolescent BMI trajectory and adult MetSyn. Using similar methods, the association between BMI trajectory and offspring obesity was examined. RESULTS: Latent trajectory modeling identified four patterns: "weight loss then gain" (N = 62); "persistently normal" (N = 374); "persistently high BMI" (N = 127); and "weight gain then loss" (N = 61). Women who had a persistently high BMI trajectory had twice the odds of having children who met the definition for obesity compared with the persistently normal group, adjusting for adult BMI (OR: 2.76; 95% CI: 1.39-5.46). None of the trajectory groups was associated with adult MetSyn compared with the persistently normal group. CONCLUSIONS: Intermittent adolescent obesity may not confer MetSyn risk during adulthood. However, maternal adolescent BMI trajectories that are persistently high may increase the odds of intergenerational obesity among offspring. |
DOI | 10.1002/oby.23769 |
Alternate Journal | Obesity (Silver Spring) |
PubMed ID | 37231617 |
Grant List | R56HL141878 / HL / NHLBI NIH HHS / United States R01AG059677 / AG / NIA NIH HHS / United States R56AG059677 / AG / NIA NIH HHS / United States |