The effect of household crowding and composition on health in an Inuit cohort in Greenland
Bibliographic record
Abstract
Aims: This study aims to investigate the association between household crowding and household composition and self-rated health and mental health (GHQ scale) among the Inuit in Greenland. Poor housing conditions are a concern in Greenland, especially in the villages, where socioeconomic standards in general are lower. Methods: A cohort of 1282 adults participated in two population-based surveys in Greenland, the Inuit Health in Transition survey 2005–2010 (baseline) and The Health Survey in Greenland 2014 (follow-up). Associations between household conditions at baseline and health outcomes at follow-up (poor self-rated health and mental health measured by the GHQ scale) were examined using logistic regression models, adjusting for covariates at baseline. Results: Participants living in an overcrowded dwelling (more than one person per room) at baseline were more likely to report poor self-rated health at follow-up (OR 1.47; 95% CI 1.09; 1.99) compared with those not living in an overcrowded dwelling. In addition, participants who lived alone at baseline were more likely (OR 1.98; 95% CI 1.09; 3.58) to experience poor mental health at follow-up compared with those who lived with children. Conclusions: Results indicate that household conditions are related to health in Greenland. Public health authorities should work to ensure affordable housing of good quality in all communities.
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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 | 0.011 | 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 | 0.000 | 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".