Beyond use and non-use: determinants of contraceptive method choice in Bangladesh: evidence from BDHS 2022 using multinomial logistic regression

Abstract This study examines the factors influencing contraceptive method choice among ever-married women of reproductive age in Bangladesh, using a multinomial framework to distinguish among no method, traditional methods, and modern methods. This study utilized nationally representative data from the Bangladesh Demographic and Health Survey (BDHS) 2022. A total of 18,904 ever-married women aged 15–49 years (survey-weighted 18,977) were included in the analysis. Descriptive statistics and chi-square tests were used to explore distributions and associations. Multicollinearity was assessed using the generalized variance inflation factor (GVIF). A survey-weighted multinomial logistic regression model was applied to estimate adjusted relative risk ratios (RRRs) and 95% confidence intervals (CIs), accounting for the complex sampling design. A survey-weighted multinomial logistic regression model was used to compare traditional and modern method use, each relative to non-use (the reference category). Overall, 54.8% of women used modern contraceptive methods, 9.3% used traditional methods, and 35.9% reported no contraceptive use. Women aged 25–34 years were more likely to use modern methods (aRRR = 1.16, 95% CI: 1.05–1.29), whereas those aged 35–49 years were more likely to use traditional methods (aRRR = 2.20, 95% CI: 1.74–2.79). Modern method use was more common among women with primary (aRRR = 1.38, 95% CI: 1.20–1.58) and secondary education (aRRR = 1.30, 95% CI: 1.12–1.49), and among those whose husbands had higher education (aRRR = 1.17, 95% CI: 1.00–1.36). Women with one birth in the past five years were more likely to use modern methods (aRRR = 2.66, 95% CI: 2.42–2.92). Women who desired more children were significantly less likely to use both modern (aRRR = 0.35, 95% CI: 0.31–0.39) and traditional methods (aRRR = 0.45, 95% CI: 0.38–0.53). Rural residence and regional disparities were also significantly associated with contraceptive method choice. Contraceptive method choice in Bangladesh is shaped by a range of socioeconomic and demographic factors. The application of multinomial analysis provides nuanced insights into these patterns, underscoring the need for targeted interventions to promote informed decision-making and ensure equitable access to contraceptive services.

Authors

Publication Details

Journal
Contraception and Reproductive Medicine
Published
2026-10-08
DOI
https://doi.org/10.1186/s40834-026-00466-8
Primary Topic
Reproductive Health and Contraception
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Beyond use and non-use: determinants of contraceptive method choice in Bangladesh: evidence from BDHS 2022 using multinomial logistic regression

Mst. Tanmin Nahar, Md Muddasir Hossain Akib, Tanzila Tamanna, Nourin Sultana et al.
Contraception and Reproductive Medicine
Reproductive Health and Contraception
article

Beyond use and non-use: determinants of contraceptive method choice in Bangladesh: evidence from BDHS 2022 using multinomial logistic regression

Mst. Tanmin Nahar, Md Muddasir Hossain Akib, Tanzila Tamanna, Nourin Sultana, Md Salek Miah
article en

Abstract

Abstract This study examines the factors influencing contraceptive method choice among ever-married women of reproductive age in Bangladesh, using a multinomial framework to distinguish among no method, traditional methods, and modern methods. This study utilized nationally representative data from the Bangladesh Demographic and Health Survey (BDHS) 2022. A total of 18,904 ever-married women aged 15–49 years (survey-weighted 18,977) were included in the analysis. Descriptive statistics and chi-square tests were used to explore distributions and associations. Multicollinearity was assessed using the generalized variance inflation factor (GVIF). A survey-weighted multinomial logistic regression model was applied to estimate adjusted relative risk ratios (RRRs) and 95% confidence intervals (CIs), accounting for the complex sampling design. A survey-weighted multinomial logistic regression model was used to compare traditional and modern method use, each relative to non-use (the reference category). Overall, 54.8% of women used modern contraceptive methods, 9.3% used traditional methods, and 35.9% reported no contraceptive use. Women aged 25–34 years were more likely to use modern methods (aRRR = 1.16, 95% CI: 1.05–1.29), whereas those aged 35–49 years were more likely to use traditional methods (aRRR = 2.20, 95% CI: 1.74–2.79). Modern method use was more common among women with primary (aRRR = 1.38, 95% CI: 1.20–1.58) and secondary education (aRRR = 1.30, 95% CI: 1.12–1.49), and among those whose husbands had higher education (aRRR = 1.17, 95% CI: 1.00–1.36). Women with one birth in the past five years were more likely to use modern methods (aRRR = 2.66, 95% CI: 2.42–2.92). Women who desired more children were significantly less likely to use both modern (aRRR = 0.35, 95% CI: 0.31–0.39) and traditional methods (aRRR = 0.45, 95% CI: 0.38–0.53). Rural residence and regional disparities were also significantly associated with contraceptive method choice. Contraceptive method choice in Bangladesh is shaped by a range of socioeconomic and demographic factors. The application of multinomial analysis provides nuanced insights into these patterns, underscoring the need for targeted interventions to promote informed decision-making and ensure equitable access to contraceptive services.

Contraception and Reproductive Medicine
Openalex Percentile: Top 10%
Reproductive Health and Contraception
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.