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Research Article
Mohammad Zahidul Islam
Jatiya Kabi Kazi Nazrul Islam University
Corresponding Author
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Background
Short Birth Interval (SBI) is a public health problem in most low- and lower-middle-income countries. Understanding geographic variations in SBI, particularly SBI hot spots and associated factors, may help intervene with tailored programs. This study identified the geographical hot spots of SBI in Bangladesh and the factors associated with them. `
Methods
We analyzed women’s data extracted from the 2017/18 Bangladesh Demographic and Health Survey and the healthcare facility data extracted from the 2017 Service Provision Assessment. Moran’s I was used to examine the spatial variation of SBI in Bangladesh whereas the Getis-Ord G*i (d) was used to determine the hot spots of SBI. The Geographical Weighted Regression (GWR) was used to explore the spatial variation of SBI on explanatory variables. The explanatory variables included in the GWR were selected using the exploratory regression and ordinary least square regression model.
Results
Data of 5941 women were included in the analyses. Around 26% of the total births in Bangladesh had occurred in short intervals. A majority of the SBI hot spots were found in the Sylhet division, and almost all SBI cold spots were in the Rajshahi and Khulna divisions. No engagement with formal income-generating activities, high maternal parity, and history of experiencing the death of a child were significantly associated with SBI in the Sylhet region. Women’s age of 34 years or less at the first birth was a protective factor of SBI in the Rajshahi and Khulna divisions.
Conclusion
The prevalence of SBI in Bangladesh is highly clustered in the Sylhet division. We recommend introducing tailored reproductive health care services in the hot spots instead of the existing uniform approach across the country.
Keywords
Short birth interval, Geographically weighted regression, Predictors of short birth intervals, Hot spot analysis, Bangladesh
Figure 1
Figure 2
No competing interests reported.
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A new preprint design is coming!
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This preprint is under consideration at Scientific Reports. A preprint is a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research Article
Mohammad Zahidul Islam
Jatiya Kabi Kazi Nazrul Islam University
Corresponding Author
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Under Review
Version 1
Posted 11 Jun, 2021
No community comments so far
Editorial decision: Major revision
On 24 Sep, 2021
Reviews received
Received 24 Sep, 2021
Reviewers agreed
On 13 Sep, 2021
Reviews received
Received 06 Aug, 2021
Reviewers agreed
On 20 Jul, 2021
Reviewers agreed
On 09 Jul, 2021
Reviewers invited
Invitations sent on 30 Jun, 2021
Editor assigned
On 30 Jun, 2021
Editor invited
On 09 Jun, 2021
Submission checks complete
On 08 Jun, 2021
First submitted
On 06 Jun, 2021
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background
Short Birth Interval (SBI) is a public health problem in most low- and lower-middle-income countries. Understanding geographic variations in SBI, particularly SBI hot spots and associated factors, may help intervene with tailored programs. This study identified the geographical hot spots of SBI in Bangladesh and the factors associated with them. `
Methods
We analyzed women’s data extracted from the 2017/18 Bangladesh Demographic and Health Survey and the healthcare facility data extracted from the 2017 Service Provision Assessment. Moran’s I was used to examine the spatial variation of SBI in Bangladesh whereas the Getis-Ord G*i (d) was used to determine the hot spots of SBI. The Geographical Weighted Regression (GWR) was used to explore the spatial variation of SBI on explanatory variables. The explanatory variables included in the GWR were selected using the exploratory regression and ordinary least square regression model.
Results
Data of 5941 women were included in the analyses. Around 26% of the total births in Bangladesh had occurred in short intervals. A majority of the SBI hot spots were found in the Sylhet division, and almost all SBI cold spots were in the Rajshahi and Khulna divisions. No engagement with formal income-generating activities, high maternal parity, and history of experiencing the death of a child were significantly associated with SBI in the Sylhet region. Women’s age of 34 years or less at the first birth was a protective factor of SBI in the Rajshahi and Khulna divisions.
Conclusion
The prevalence of SBI in Bangladesh is highly clustered in the Sylhet division. We recommend introducing tailored reproductive health care services in the hot spots instead of the existing uniform approach across the country.
Figure 1
Figure 2
No competing interests reported.
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