Abstract
Objective: Various personality traits have longitudinal relations with body mass index (BMI), a measure of body weight and a risk factor for numerous health concerns. We tested these associations' compatibility with causality in either direction. Method: Using three waves of the Wisconsin Longitudinal Study (N = 12,235, Mage = 53.33 at baseline), we tested how accurately the Five-Factor Model personality domains and their items could collectively predict BMI and change in it with elastic net models. With multilevel models, we tested (a) bidirectional and (b) within-person associations between BMI and personality traits. Results: The five domains were able to predict concurrent (r = 0.08), but not future BMI. Twenty-nine personality items predicted concurrent and future BMI at r = 0.21 and r = 0.16 to 0.25, respectively. Neither the domains nor items could collectively predict change in BMI. Similarly, no individual trait predicted change in BMI, but BMI predicted changes in Conscientiousness, Agreeableness, and several items (|b*| = 0.03 to 0.08). BMI had within-person correlations with these same traits; time-invariant third factors like genetics or childhood environments therefore could not (fully) account for their relations. Conclusions: Body weight may contribute to adults' personality development, but the reverse appears less likely.
| Original language | English |
|---|---|
| Pages (from-to) | 1395-1409 |
| Number of pages | 15 |
| Journal | Journal of Personality |
| Volume | 91 |
| Issue number | 6 |
| Early online date | 30 Jan 2023 |
| DOIs | |
| Publication status | Published - Dec 2023 |
Keywords / Materials (for Non-textual outputs)
- body mass index
- health
- item-level analyses
- multilevel modeling
- personality development
Fingerprint
Dive into the research topics of 'Body mass predicts personality development across 18 years in middle to older adulthood'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver