Early life socioeconomic status and metabolic outcomes in adolescents: The role of implicit affect about one’s family.
Bibliographic record
Abstract
OBJECTIVES: Previous research suggests that the quality of early family relationships may moderate the association between lower socioeconomic status (SES) and cardiovascular and other health outcomes. In this study, we investigated how implicit measures of early childhood environments (implicit anger, fear, or warmth about one's family) interacted with early life SES to predict metabolic outcomes in a sample of healthy adolescents. METHOD: Adolescents (N = 259) age 13 to 16 participated with 1 parent. Implicit family affect was measured with a computer-based implicit affect assessment tool. Early life SES was indexed by home crowding (e.g., number of people per bedroom) during the first 5 years of life. Metabolic indicators included resting blood pressure, total cholesterol, glycosylated hemoglobin, and waist circumference. RESULTS: Early life SES significantly interacted with implicit negative family affect in resting systolic blood pressure and diastolic blood pressure levels, such that among those participants with higher early life SES, as implicit negative family affect increased, resting blood pressure also increased. Similarly, early life SES interacted with implicit family warmth to predict total cholesterol levels, such that among those participants with higher early life SES, as implicit family warmth decreased, total cholesterol increased. These patterns were not observed with current SES or with explicit measures of family relationships. CONCLUSIONS: These findings provide evidence that implicit family affect moderates the association between early life SES and adolescent metabolic outcomes in a way that suggests that implicit family affect may be more relevant among higher SES adolescents. The utility of implicit psychosocial measures in cardiovascular health studies, particularly for higher SES samples, is discussed. (PsycINFO Database Record
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".