Identifying the Socioeconomic and Demographic factors affecting the Maternal health care and delivery types of Santal women’s of Dinajpur, Bangladesh
Author (s)
Md. Sabuj Ali, A.S.M. Abu Saeed, Mst. Dilara Pervin, Shahanaj Parvin, Md. Ziaul Hassan, Mst Wahida Parvin, Sumyia Hasan, & Mithun Chandro Roy
Abstract
Utilization of maternal healthcare properly is an important factor to reduce maternal mortality and infant mortality. This study was conducted to see the knowledge and practice regarding maternal healthcare (MHC) among santal women of Dinajpur. Santal are one of the largest tribal group of Bangladesh mainly living in Rangpur and Rajshahi division. They have their own culture and language. In this study 209 santal women having at least one child of age less than 5 years has been interviewed. Due to restricted sampling unit and lack of sampling frame, connivance sampling has been used for selecting sample from different region of Dinajpur district. It has been found from the study that 23.9% respondents gets married within 15 years and the majorities (63.3%) get married at age group 15 to 20 years. Maximum women experience their first baby birth in the age group 15 to 20 years which is 57.4%. About one third of the respondents had experienced a pregnancy that miscarried or ended by a stillbirth. Among the respondents 81.3% was hearted about menstruation before they enter in this group and almost half of the total respondents took part in a program arranged by NGO about maternal health care awareness. Almost 50% of the total respondents give birth in NGO sector. From the bivariate analysis it has been found that type of delivery has significant association with respondent current age, age at first birth and at age marriage. Also the place of delivery and respondent education level has significant association with type of delivery. From the binary logistic regression it has been found that lower middle class and middle class groups has higher chance of caesarean delivery than the poor group. Also, the respondents who get married or give birth their first baby after more than 25 years has higher rate of caesarean delivery than the reference group less than 15 years.
Keywords: Maternal Health Care (MHC), ANC visit, Delivery Type, Logistic Regression.
| Title: | Identifying the Socioeconomic and Demographic factors affecting the Maternal health care and delivery types of Santal women’s of Dinajpur, Bangladesh |
|---|---|
| Author: | Md. Sabuj Ali, A.S.M. Abu Saeed, Mst. Dilara Pervin, Shahanaj Parvin, Md. Ziaul Hassan, Mst Wahida Parvin, Sumyia Hasan, & Mithun Chandro Roy |
| Journal Name: | International Journal of Science and Business |
| Website: | ijsab.com |
| ISSN: | ISSN 2520-4750 (Online), ISSN 2521-3040 (Print) |
| DOI: | https://doi.org/10.58970/IJSB.2354 |
| Media: | Online |
| Volume: | 35 |
| Issue: | 1 |
| Issue publication (Year): | 2024 |
| Acceptance Date: | 27/12/2023 |
| Date of Publication: | 17/04/2024 |
| PDF URL: | https://ijsab.com/wp-content/uploads/2354.pdf |
| Free download: | Available |
| Page: | 48-58 |
| First Page: | 48 |
| Last Page: | 58 |
| Paper Type: | Research paper |
| Current Status: | Published |
Cite This Article:
Md. Sabuj Ali, A.S.M. Abu Saeed, Mst. Dilara Pervin, Shahanaj Parvin, Md. Ziaul Hassan, Mst Wahida Parvin, Sumyia Hasan, & Mithun Chandro Roy (2024). Identifying the Socioeconomic and Demographic factors affecting the Maternal health care and delivery types of Santal women’s of Dinajpur, Bangladesh. International Journal of Science and Business, 35 (1), 48-58. DOI: https://doi.org/10.58970/IJSB.2354
Retrieved from https://ijsab.com/wp-content/uploads/2354.pdf
About Author (s)
Md. Sabuj Ali (Corresponding Author), Assistant Professor, Department of Statistics, Hajee Mohammad Danesh Science and Technology University, Dinajpur, Bangladesh.
A.S.M. Abu Saeed, Assistant Professor, Department of Statistics, Hajee Mohammad Danesh Science and Technology University, Dinajpur, Bangladesh.
Mst. Dilara Pervin, Assistant Professor, Department of Statistics, Hajee Mohammad Danesh Science and Technology University, Dinajpur, Bangladesh.
Shahanaj Parvin, Assistant Professor, Department of Statistics, Jagannath University, Dhaka, Bangladesh.
Md. Ziaul Hassan, Associate Professor, Department of Statistics, Hajee Mohammad Danesh Science and Technology University, Dinajpur, Bangladesh.
Mst Wahida Parvin, Student, Department of Statistics, Hajee Mohammad Danesh Science and Technology University, Dinajpur, Bangladesh.
Sumyia Hasan, Student, Department of Statistics, Hajee Mohammad Danesh Science and Technology University, Dinajpur, Bangladesh.
Mithun Chandro Roy, Student, Department of Statistics, Hajee Mohammad Danesh Science and Technology University, Dinajpur, Bangladesh.
DOI: https://doi.org/10.58970/IJSB.2354