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Record W1986267552 · doi:10.14740/jocmr2049w

Economic Problems and Mental Disorders in Japanese Pregnant Women

2015· article· en· W1986267552 on OpenAlexvenueno aff
Shunji Suzuki

Bibliographic record

VenueJournal of Clinical Medicine Research · 2015
Typearticle
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePsychiatryObstetrics

Abstract

fetched live from OpenAlex

Maternal mental disorders are associated with adverse psychological outcomes in children in countries of low and middle income [1, 2]. Although we believe that Japan is not a poor country, there are some morbid pregnant women who are impoverished economically. Between 2009 and 2013, for example, at our hospital 226 (3.7%) of 6,119 pregnant women could not give birth without financial support from the hospitalization assistance policy (HAP) system by the Japanese Child Welfare Government. The HAP system aids their delivery costs. The main objectives of the HAP system are to help pregnant women who: 1) receive the livelihood protection because they are unable to maintain minimum living standards because of poverty, 2) live in households exempt from the residence tax, and 3) live in households in which the income tax is less than ¥8,400 (about 80 US dollars) per year. In the women without economic problems, 84 women (1.4%) were diagnosed as having mental disorders such as schizophrenia and/or depression requiring medications before or during pregnancy; however, 16 women (7.1%, P < 0.01 by Chi-square test) were diagnosed as having the mental disorders in women under the HAP system. During the pregnancy, in the 84 women of normal economic state, 19 women (22.6%, P < 0.01 by Chi-square test) performed self-interruption of medications and 15 women (17.9%) had the worsening of symptoms; however, in the 16 pregnant women with mental disorders under the HAP system, 10 women (62.5%) performed self-interruption of medications and seven women (43.8%, P = 0.02 by Chi-square test) had the worsening of symptoms. Women with mental disorders sometimes perform self-interruption of medications during pregnancy, and then the selfinterruption of medications sometimes deteriorates their state of mental disorders. They seemed to misunderstand that the medication leads to the adverse outcomes of pregnancy. In addition, the pregnant women impoverished economically may be liable to be as follows: 1) they have often received low education leading to their misunderstanding about the influence of medications on their pregnancies because their parents had been also poor; 2) there may be large time and/or economic burdens in their visiting of psychiatric and obstetrics; and 3) the stress of pregnancy may be easy to hunt down their psychological status because there is no room in their life. These may become negative chains in their lives and these may lead to the poverty and adverse psychological outcomes of their children. The Japanese HAP system aids their delivery costs only. Therefore, in Japan the proper education and sufficient financial support are needed for pregnant women who are impoverished economically to prevent the deterioration of their mental status 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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.051
Threshold uncertainty score0.102

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.201
GPT teacher head0.509
Teacher spread0.308 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations11
Published2015
Admission routes1
Has abstractyes

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