Length of residence and obesity among immigrants in Spain
Bibliographic record
Abstract
OBJECTIVE: Various studies in the USA and Canada have consistently shown a positive association between length of residence of immigrants and obesity. Studies in European countries have obtained less consistent results. The present work assesses the influence of length of residence on the frequency of obesity in immigrants in the city of Madrid, Spain. DESIGN: We studied a sample of 7155 persons aged 18 years and over residing in the city of Madrid, who were was surveyed between November 2004 and May 2005. Information was collected on immigrant status (country of birth), length of residence in Spain, obesity, sociodemographic characteristics and lifestyle. RESULTS: Compared with the Spanish population, the odds for obesity in the immigrant population by length of residence was less than one in all groups, becoming closer to one with increasing time of residence (OR = 0.67, 0.73 and 0.81 for immigrants with less than 2, 2-4 and 5-9 years of residence in Spain, respectively), up to 10 or more years of residence, when it declined (OR = 0.69). The magnitude of this association was considerably reduced after adjusting for sociodemographic variables and for perceived health, but was not further modified after adjusting for lifestyle variables. CONCLUSIONS: Length of residence of immigrants in the city of Madrid is not associated with the frequency of obesity. It is possible that the circumstances immigrants encounter after arriving in Spain do not involve an overexposure to factors favouring obesity, relative to those they bring with them.
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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 | 0.000 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".