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Record W4410466417 · doi:10.1038/s41598-025-01801-w

Depressive, anxiety symptoms and their co-occurrence among women seeking antenatal care in Bangladesh

2025· article· en· W4410466417 on OpenAlexafffund
Md Hafizur Rahman, Ridwana Maher Manna, Nasimul Ghani Usmani, Pradip Chandra, Md. Abdullah Al Mamun, Md Robed Amin, Muhammad Habib Khan, Helal Uddin Ahmed, S. M. Hasibul Islam, Md. Shariful Islam, Tasnu Ara, Ema Akter, Anisuddin Ahmed, Mohammad Sohel Shomik, Shams El Arifeen, Ahmed Ehsanur Rahman

Bibliographic record

VenueScientific Reports · 2025
Typearticle
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsChild, Adolescent and Family Mental Health
FundersNational Institute of Mental HealthGlobal Affairs CanadaMinistry of Health and Family Welfare
KeywordsAnxietyDepressive symptomsDepression (economics)PsychiatryMedicinePrenatal careObstetricsPsychologyEnvironmental healthPopulation

Abstract

fetched live from OpenAlex

Anxiety and depression are significant concerns among antenatal women in Bangladesh. Despite the critical need for tailored mental health care in health facilities, studies on these symptoms in this demographic remain lacking. Therefore, our study aimed to assess the levels, distribution, and associated factors of depressive and anxiety symptoms and their co-occurrence among women seeking antenatal care at a public healthcare facility in Bangladesh. We conducted a cross-sectional study between May 2024, and June 2024, among women seeking antenatal care (ANC) care in Durgapur Upazila Health Complex, a primary-level public health facility in Bangladesh. Among 640 women who received ANC care, 638 participated in the study. Depressive symptoms were assessed by the Patient Health Questionnaire-9 (PHQ-9), and anxiety symptoms were assessed by the Generalized Anxiety Disorder-7 (GAD-7). Bivariate and multivariable logistic regression were conducted to determine factors contributing to depressive and anxiety symptoms. About 39% of participants had depressive symptoms and 50% had anxiety symptoms, with 26% experiencing both simultaneously. No participants had severe overall depressive or anxiety symptoms. PHQ-9 data indicated half experienced daily fatigue, while GAD-7 data showed over half experienced daily nervousness and two-fifths had daily fears. Women in the second and third trimesters had 43% (aOR: 0.57, 95% CI: 0.36-0.89) and 58% (aOR: 0.42, 95% CI: 0.24-0.71) lower odds of depressive symptoms compared to those in the first trimester respectively. Women with 11 years or more education had 40% (aOR: 0.60, 95% CI: 0.38-0.94) lower odds of anxiety. Additionally, women in the second and third trimesters had 40% (aOR: 0.60, 95% CI: 0.37-0.97) and 49% (aOR: 0.59, 95% CI: 0.29-0.91) lower likelihood of co-occurrence compared to those in the first trimester and women with 6-10 years of education had 48% (aOR: 0.52, 95% CI: 0.34-0.79) and those with 11 or more years had 52% (aOR: 0.48, 95% CI: 0.29-0.81) lower likelihood of co-occurring depressive and anxiety symptoms compared to women with 5 years or less education. Our study found a high prevalence of depressive and anxiety symptoms among antenatal care seekers, with notable co-occurrence of these conditions. Given these findings, there is an urgent need for targeted mental health support for these women, especially those in their first trimester and those with limited education.

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 score0.022
Threshold uncertainty score0.044

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.007
GPT teacher head0.271
Teacher spread0.264 · 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

Citations4
Published2025
Admission routes2
Has abstractyes

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