Evidence map›Paper›PMID 40657295›Full record

ArticleHealth science reports2025

Determinants of Modern Contraception Use Among Ever-Married Women in Bangladesh: A Nationwide Cross-Sectional Study.

Faijun Nahar Mim, Md Hazrat Ali, Shafika Rahman, Farjana Afrin Koasha, Md Rakibul Islam, Sabina Yasmin

Abstract read
In one paragraph

Article in Health science reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Faijun Nahar MimDepartment of Statistics Mawlana Bhashani Science and Technology University Tangail Bangladesh.
Md Hazrat AliDepartment of Statistics Mawlana Bhashani Science and Technology University Tangail Bangladesh.
Shafika RahmanDepartment of Statistics and Data Science Jahangirnagar University Savar Dhaka Bangladesh.
Farjana Afrin KoashaDepartment of Statistics Mawlana Bhashani Science and Technology University Tangail Bangladesh.ORCID https://orcid.org/0009-0005-4610-6825
Md Rakibul IslamDepartment of Statistics Mawlana Bhashani Science and Technology University Tangail Bangladesh.
Sabina YasminDepartment of Statistics and Data Science Jahangirnagar University Savar Dhaka Bangladesh.ORCID https://orcid.org/0000-0002-1917-2692

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Contraception involves the deliberate prevention of conception through various methods, including mechanical devices, medications, behavioral strategies, or surgical techniques. This study aims to assess the socioeconomic and demographic determinants influencing the adoption of modern contraceptive methods among women. Methods: A cross-sectional study design was employed, using data from the Bangladesh Demographic and Health Survey (BDHS) 2017-2018. Bivariate analysis was conducted to identify factors associated with contraceptive use, followed by binary logistic regression to evaluate the influence of key socioeconomic and demographic factors. Results: The study found that ~66.70% of respondents use modern contraceptive methods, predominantly those from urban areas with higher education levels. Conversely, 33.30% of respondents do not use modern contraceptives. Significant determinants of contraceptive use include division, place of residence, education level, husband's education, wealth index, religion, age at first birth, and husband's occupation. Notably, women with higher education are 1.644 times more likely to use modern contraceptives compared to those without education. Conclusion: Socioeconomic disparities influence contraceptive use, necessitating targeted policies to improve access, particularly in rural and underprivileged communities. Strengthening educational programs and reproductive health services can enhance informed family planning decisions.

Indexed as

Bangladeshcontraceptive useearly childbearingfamily planningsocioeconomic factors

Identifiers

PMID40657295
PMCPMC12247104

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.