The Role of Family Communication in Individual Health Attitudes and Behaviors Concerning Diet and Physical Activity
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study explored associations among family communication patterns (conversation and conformity orientations), health-specific communication variables, health attitudes, and health behaviors in a sample of 433 family dyads (N = 866). As expected, results of multilevel models revealed that individuals' health attitudes were strongly associated with their self-reported health behaviors. Findings also suggested that perceived confirmation from a family member during health-specific conversations (a) directly influenced health attitudes, (b) partially accounted for the positive relationship between family conversation orientation and health attitudes, and (c) partially accounted for the inverse relationship between family conformity orientation and health attitudes. Similarly, frequency of health-specific communication (a) directly influenced health attitudes, (b) partially accounted for the positive relationship between family conversation orientation and health attitudes, and (c) directly associated with health behaviors. Results from an actor-partner interdependence model (APIM) supported the aforementioned within-person association between a person's own health attitudes and health behaviors, as well as a positive relationship between young adults' health attitudes and their influential family member's health behaviors. Implications of these findings are discussed as they relate to theory and obesity prevention.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it