Regression model of fear of childbirth in pregnant women
Abstract Background The concept of fear of childbirth includes various types of anxiety and fears related to pregnancy and delivery. This fear can have a significant impact on women’s health. Therefore, a study was conducted to analyze the regression model of fear of childbirth among pregnant women....
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| Format: | Article |
| Language: | English |
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BMC
2025-08-01
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| Series: | BMC Public Health |
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| Online Access: | https://doi.org/10.1186/s12889-025-24045-9 |
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| author | Farzaneh Rashidi Nazanin Hesari Sahar Shariatnia Abdollah Razi SeyyedMohammad MohammadiAubi Fatemeh Gorji Faezeh Ghanbari |
| author_facet | Farzaneh Rashidi Nazanin Hesari Sahar Shariatnia Abdollah Razi SeyyedMohammad MohammadiAubi Fatemeh Gorji Faezeh Ghanbari |
| author_sort | Farzaneh Rashidi |
| collection | DOAJ |
| description | Abstract Background The concept of fear of childbirth includes various types of anxiety and fears related to pregnancy and delivery. This fear can have a significant impact on women’s health. Therefore, a study was conducted to analyze the regression model of fear of childbirth among pregnant women. Methods This pilot cross-sectional study was conducted from August to November 2023 with 152 pregnant women in Bojnurd, Iran, using a multi-stage sampling method. Data were collected from tools including a personal and obstetric information form, a childbirth attitude questionnaire, social support assessments, and a childbirth self-efficacy scale. Data analysis was performed using SPSS version 24, utilizing descriptive statistics, t-tests, and multiple linear regression. Results The results of multiple linear regression indicate that the variables of age (B = 0.257), women’s education(B = 2.54), spouse’s education (B = 3.87), and preferred delivery(B = 7.097) can significantly predict the variance in fear of childbirth. Conclusion The results of this study can help healthcare providers identify and screen women at risk of experiencing fear of childbirth. By doing so, they can take proactive measures to reduce this fear and its negative effects, thereby easing the delivery process. This can be achieved through counseling sessions and by improving the quality of prenatal care for at-risk women. |
| format | Article |
| id | doaj-art-3d75643c3b0947bc8cc4cbd8fa3725ba |
| institution | Kabale University |
| issn | 1471-2458 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Public Health |
| spelling | doaj-art-3d75643c3b0947bc8cc4cbd8fa3725ba2025-08-20T03:46:23ZengBMCBMC Public Health1471-24582025-08-012511710.1186/s12889-025-24045-9Regression model of fear of childbirth in pregnant womenFarzaneh Rashidi0Nazanin Hesari1Sahar Shariatnia2Abdollah Razi3SeyyedMohammad MohammadiAubi4Fatemeh Gorji5Faezeh Ghanbari6Addiction and Behavioral Sciences Research Center, North Khorasan University of Medical SciencesDepartment of Midwifery, School of Nursing and Midwifery, North Khorasan University of Medical SciencesMaster of Biostatistics, Addiction and Behavioral Sciences Research Center, North Khorasan University of Medical SciencesDepartment of Urology, School of Medicine, North Khorasan University of Medical SciencesStudent Research Committee, School of Medicine, North Khorasan University of Medical SciencesStudent Research Committee, School of Nursing and Midwifery, North Khorasan University of Medical SciencesStudent Research Committee, School of Nursing and Midwifery, North Khorasan University of Medical SciencesAbstract Background The concept of fear of childbirth includes various types of anxiety and fears related to pregnancy and delivery. This fear can have a significant impact on women’s health. Therefore, a study was conducted to analyze the regression model of fear of childbirth among pregnant women. Methods This pilot cross-sectional study was conducted from August to November 2023 with 152 pregnant women in Bojnurd, Iran, using a multi-stage sampling method. Data were collected from tools including a personal and obstetric information form, a childbirth attitude questionnaire, social support assessments, and a childbirth self-efficacy scale. Data analysis was performed using SPSS version 24, utilizing descriptive statistics, t-tests, and multiple linear regression. Results The results of multiple linear regression indicate that the variables of age (B = 0.257), women’s education(B = 2.54), spouse’s education (B = 3.87), and preferred delivery(B = 7.097) can significantly predict the variance in fear of childbirth. Conclusion The results of this study can help healthcare providers identify and screen women at risk of experiencing fear of childbirth. By doing so, they can take proactive measures to reduce this fear and its negative effects, thereby easing the delivery process. This can be achieved through counseling sessions and by improving the quality of prenatal care for at-risk women.https://doi.org/10.1186/s12889-025-24045-9FearPregnancyChildbirthAnxiety |
| spellingShingle | Farzaneh Rashidi Nazanin Hesari Sahar Shariatnia Abdollah Razi SeyyedMohammad MohammadiAubi Fatemeh Gorji Faezeh Ghanbari Regression model of fear of childbirth in pregnant women BMC Public Health Fear Pregnancy Childbirth Anxiety |
| title | Regression model of fear of childbirth in pregnant women |
| title_full | Regression model of fear of childbirth in pregnant women |
| title_fullStr | Regression model of fear of childbirth in pregnant women |
| title_full_unstemmed | Regression model of fear of childbirth in pregnant women |
| title_short | Regression model of fear of childbirth in pregnant women |
| title_sort | regression model of fear of childbirth in pregnant women |
| topic | Fear Pregnancy Childbirth Anxiety |
| url | https://doi.org/10.1186/s12889-025-24045-9 |
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