Bandehelahi Khadijeh, Khoshravesh Sahar, Barati Majid, Tapak Leyli
Students Research Committee, Hamadan University of Medical Sciences, Hamadan, Iran.
Department of Public Health, School of Health, Hamadan University of Medical Sciences, Hamadan, Iran.
Korean J Fam Med. 2019 May;40(3):182-187. doi: 10.4082/kjfm.18.0008. Epub 2019 Jan 14.
Fertility and childbearing are the most important determinants of population variation around the world. This study was conducted with the aim of determining the psychological and sociodemographic factors predicting fertility intention among women referred to comprehensive health centers in Hamadan based on the beliefs, attitudes, subjective norms, and enabling factors (BASNEF) model.
This descriptive analytical study was performed in comprehensive health centers in Hamadan in 2016. Through a multi-stage sampling method, 484 women were enrolled in the study. The data collection tool was a selfreport questionnaire based on the constructs of the BASNEF model. Data were analyzed using linear regression, independent t-test, and a one-way analysis of variance using IBM SPSS software ver. 22.0 (IBM Corp., Armonk, NY, USA).
The mean±standard deviation of the women's age was 31.85±6.13 years. The variables of motivation to comply (β=0.228), enabling factors (β=0.162), subjective norms (β=0.134), and attitude (β=0.122) were the predictors of fertility intention in women. This model was able to explain 16.8% of variance in behavioral intention. Also, lower age, higher education, shorter duration of marriage, and having a daughter resulted in a greater fertility intention.
It seems that designing and implementing educational programs to improve attitudes, promoting positive subjective norms, and enhancing enabling factors can play a major role in increasing fertility intention in women.
生育和育儿是全球人口差异的最重要决定因素。本研究旨在基于信念、态度、主观规范和促成因素(BASNEF)模型,确定预测哈马丹综合健康中心女性生育意愿的心理和社会人口学因素。
本描述性分析研究于2016年在哈马丹的综合健康中心进行。通过多阶段抽样方法,484名女性纳入研究。数据收集工具是基于BASNEF模型构建的自填式问卷。使用IBM SPSS软件22.0版(美国纽约州阿蒙克市IBM公司)进行线性回归、独立样本t检验和单因素方差分析。
女性年龄的平均值±标准差为31.85±6.13岁。顺应动机(β=0.228)、促成因素(β=0.162)、主观规范(β=0.134)和态度(β=0.122)变量是女性生育意愿的预测因素。该模型能够解释行为意愿中16.8%的方差。此外,年龄较小、教育程度较高、婚姻持续时间较短以及育有女儿会导致更高的生育意愿。
似乎设计和实施教育项目以改善态度、促进积极的主观规范以及增强促成因素,可在提高女性生育意愿方面发挥重要作用。