Dyadic associations between eating behaviors and body mass index in couples with a member living with overweight: A longitudinal study
Bibliographic record
Abstract
Socioecological models of health view romantic relationships as micro-social systems in which spouses influence one another's health-related thoughts, feelings, and behaviors. Although prior work suggests spousal interdependence in eating behaviors, the degree of interdependence may vary as a function of the specific eating behaviors studied. In this longitudinal dyadic study, 204 cohabiting couples (N = 408 spouses) including a member living with overweight completed online questionnaires and provided BMI data at three separate time points spanning a total period of three months. Longitudinal cross-lagged actor-partner dyadic models were used to examine spousal interdependence in overeating, restrained eating, and body mass index (BMI) as well as potential moderators linked to a couple's relational context (i.e., gender, age, relationship length, and time spent in separate leisure activities). Results revealed participants' overeating scores were positively predicted by their spouse's overeating scores, particularly among those who reported spending more time in joint leisure activities and among older participants (this effect emerged around 40 years of age and increased thereafter). Conversely, participants' overeating scores were negatively predicted by their spouse's BMIs. With respect to restrained eating, the significance and directionality of the partner effects depended on relational stage, where participants' scores were positively predicted by their spouse's scores in relationships of up to five years and negatively predicted by their spouse's scores in relationships of 35 years or more. No significant partner effects predicted BMI. These results reveal effects indicative of spousal interdependence related to different eating behaviors and BMI and highlight aspects of the relational context that modify such interdependence.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".