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Factors related to the continuation of employment during pregnancy among Japanese women

2011· article· en· W1803703163 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJapan Journal of Nursing Science · 2011
Typearticle
Languageen
FieldMedicine
TopicGestational Diabetes Research and Management
Canadian institutionsWomen's Health Research Institute
Fundersnot available
KeywordsPregnancyMedicineOutpatient clinicHousewifeObstetrics

Abstract

fetched live from OpenAlex

AIM: To determine the relationship between the working situation (full-time housewife, stopped working during pregnancy, or currently employed) and the lifestyle factors, reasons for stopping work during pregnancy, and effects of working conditions in order to identify the factors that are related to the continuation of employment among pregnant Japanese women. METHODS: In a cross-sectional study, a questionnaire was administered to pregnant women who visited an obstetrics clinic in a Tokyo suburb for an outpatient medical check-up during July and August 2004. RESULTS: The data of 530 healthy pregnant women were analyzed. The pregnant women who stopped working during their pregnancy had lower mental health scores than the full-time housewives and employed pregnant women. In each trimester, the employed pregnant women reported a shorter daytime sleep duration than the pregnant women who stopped working during their pregnancy and the full-time housewives. The reasons for stopping work during pregnancy were categorized as somatic symptoms due to pregnancy, working conditions, and a sense of values or social reasons. The employed women in the third trimester more often reported the availability of, and access to, a rest area in their company, compared to those in the first and second trimesters. CONCLUSION: The lifestyle factors of the pregnant women were different, based on their work situation. In particular, the employed pregnant women had a shorter daytime sleep duration. The pregnant women who stopped working during their pregnancy could have benefited from mental health support. In addition, the reasons for stopping work during pregnancy were different in the three trimesters. A flexible system is needed for working women that adapts to the physical changes that occur during pregnancy.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.599
Threshold uncertainty score0.163

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.052
GPT teacher head0.325
Teacher spread0.272 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it