Health risk behaviours among migrants by duration of residence: protocol for a systematic review and meta-analysis
Bibliographic record
Abstract
INTRODUCTION: International migrants' health has often been found to deteriorate in new countries, partly due to changes in health risk behaviours such as alcohol consumption, tobacco use, physical inactivity, and poor dietary habits. However, limited efforts have been made to comprehensively evaluate the extent to which migrants adopt unhealthy risk behaviours with longer duration of residence. This systematic review and meta-analysis will summarise evidence on international migrants' behavioural patterns by duration of residence in multiple country contexts. METHODS AND ANALYSIS: PubMed/MEDLINE, Web of Science and ProQuest databases will be searched for quantitative or mixed-method observational studies published in peer-reviewed scientific journals between 1 January 2000 and 31 December 2019. Studies comparing foreign-born individuals by duration of residence will be included. Information on study characteristics, descriptive statistics and measures of effect will be extracted. All included studies will be quality assessed using a modified Newcastle-Ottawa scale. The review will include narrative synthesis and, if sufficient and comparable data are available, random effects meta-analyses. The review will be conducted in compliance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. ETHICS AND DISSEMINATION: Ethical approval is not required since previously published information from peer-reviewed studies will be assessed. The results of this review will be published in peer-reviewed journals and presented at scientific conferences. Other forms of dissemination will include communication to broader audiences using well-established channels, including through university-based press releases. Progress will be regularly updated on the International Prospective Register of Systematic Reviews to ensure full transparency. PROSPERO REGISTRATION NUMBER: CRD42018108881.
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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 | 0.092 | 0.109 |
| Meta-epidemiology (narrow) | 0.007 | 0.006 |
| Meta-epidemiology (broad) | 0.024 | 0.028 |
| Bibliometrics | 0.011 | 0.011 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.008 | 0.008 |
| Insufficient payload (model declined to judge) | 0.082 | 0.009 |
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".