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Disordered Eating Profiles in Adolescence to Early Adulthood and Future Cardiometabolic Health.
- Source :
-
Pediatrics . Dec2024, Vol. 154 Issue 6, p1-11. 14p. - Publication Year :
- 2024
-
Abstract
- BACKGROUND AND OBJECTIVES: Evidence is scarce on the clustering patterns of disordered eating di-mensionsor symptoms and their effects on future cardiometabolic health. This study examines associations of disordered eating trajectory profiles (from 13 to 21 years), with BMI and related cardiometabolic features at ages 21, 24 and 27. METHODS: Participants are from the Epidemiological Health Investigation of Teenagers cohort (Porto, Portugal). At 13,17 and 21 years, 3 Eating Disorder Inventory subscales were assessed (drive for thinness, bulimia and body dissatisfaction), and a latent class analysis derived trajectory profiles. Associations with BMI and having ≥1 metabolic syndrome feature at 21 (n = 1619), 24 (n = 916) and 27 years (n = 720) were tested using generalized linear models and binary logistic regressions. RESULTS: The following 4 profiles were obtained: "higher" levels (highest severity of symptoms at all ages, 16-19%), "increasing" (especially of body concerns, 26-28%), "decreasing" (18-19%), and "lower" (highest proportion of individuals with low/without disordered eating, 35-37%). Compared with the lower levels profile, both sexes with higher and increasing disordered eating presented heightened BMI at 21, 24 and 27 years. Women in the higher levels profile had higher odds of having ≥1 metabolic syndrome feature at 21 and 24 years, while men with higher and increasing disordered eating presented increased odds at 21, 24 and 27 years. CONCLUSIONS: Individuals, particularly males, with higher or increasing disordered eating levels from 13 to 21 years of age presented a higher risk of worsened cardiometabolic health up to 6 years later in adulthood. [ABSTRACT FROM AUTHOR]
- Subjects :
- *METABOLIC syndrome risk factors
*RISK assessment
*BULIMIA
*BODY mass index
*SECONDARY analysis
*LEANNESS
*RESEARCH funding
*QUESTIONNAIRES
*LOGISTIC regression analysis
*SEX distribution
*CARDIOVASCULAR diseases risk factors
*BODY image
*STRUCTURAL equation modeling
*DESCRIPTIVE statistics
*SEVERITY of illness index
*ODDS ratio
*FOOD habits
*REGRESSION analysis
Subjects
Details
- Language :
- English
- ISSN :
- 00314005
- Volume :
- 154
- Issue :
- 6
- Database :
- Academic Search Index
- Journal :
- Pediatrics
- Publication Type :
- Academic Journal
- Accession number :
- 181281329
- Full Text :
- https://doi.org/10.1542/peds.2024-066076