The relationship between perceived income inequality, adverse mental health and interpersonal difficulties in <scp>UK</scp> adolescents
Bibliographic record
Abstract
BACKGROUND: Adolescence is a period of life when young people increasingly define themselves through peer comparison and are vulnerable to developing mental health problems. In the current study, we investigated whether the subjective experience of economic disadvantage among friends is associated with social difficulties and poorer mental health in early adolescence. METHODS: We used latent change score modelling (LCSM) on data from the UK Millennium Cohort Study, collected at ages 11 and 14 (N = 12,995). Each LCSM modelled the mean of an outcome related to mental health and interpersonal difficulties at age 11 (including self-esteem, well-being, emotional difficulties, peer problems, bullying, victimisation and externalising difficulties), the change of the outcome from ages 11 to 14 and its predictors, including perceived income inequality among friends (i.e. perceiving oneself as belonging to a poorer family than the families of one's friends). RESULTS: Perceived income inequality predicted adverse mental health and a range of interpersonal difficulties during adolescence, even when controlling for objective family income. Follow-up analyses highlighted that, at 11 years, young people who perceived themselves as belonging to poorer families than their friends reported worse well-being, self-esteem, internalising problems, externalising problems and victimisation at the same age (relative to those who perceived themselves as richer than or equal to their friends, or who did not know). Longitudinal analyses suggested that victimisation decreased from ages 11 to 14 to a greater extent for adolescents who perceived themselves as poorer than other adolescents. CONCLUSIONS: The salience of economic inequalities in proximal social environments (e.g. among friends) in early adolescence could further amplify the negative effects of economic disadvantage on mental health and behavioural difficulties during this period.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".