Pregnancy health and outcome in two cities in the Kola Peninsula, Northwestern Russia
Bibliographic record
Abstract
OBJECTIVES: The aims of the study were to compare the prevalence of selected maternal and lifestyle factors as well as the reproductive outcome of working women in two cities in Northwestern Russia (Moncegorsk and Apatity), and to assess the quality of pregnancy-outcome data obtained in an interview with registered information. STUDY DESIGN: A retrospective questionnaire study in an interview format. Women (n =1696) from selected workplaces in Apatity and Moncegorsk participated (85% of those available). Information was collected about past pregnancies, including information about the pregnancy outcome, newborn, occupation, health and life-style. RESULTS: The investigated groups had experienced 7,254 pregnancies in total, corresponding to 4.3 pregnancies on average per woman. In both groups, about one-half of the reported pregnancies were terminated, and three-quarters of the women had undergone an induced abortion. Spontaneous abortions had been experienced by 23% of the women in the Apatity group, which was higher than in the Moniegorsk group (16%). Previous spontaneous abortions appear more likely to be disclosed than induced abortions. The smoking prevalence was 37% in the Moncegorsk group and 24% in the Apatity group. Thirteen percent of all participants had been diagnosed with a pelvic inflammatory disease. CONCLUSIONS: Induced abortions were common in Northwestern Russia regardless of city of residency, and the majority of the abortions appear to have occurred after the women had their attainable or desired number of children. The proportion of pregnancies resulting in a spontaneous abortion was higher in the investigated group in Apatity than in Moncegorsk, which should be investigated further. This study also confirmed that smoking has become more widespread among women in the Kola Peninsula, as elsewhere in Russia.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".