Survey of Fertility Motivations and Some Related Factors in Women of Reproductive Age Who Referred to Health Centers in Sabzevar In 1395

Publish Year: 1397
نوع سند: مقاله کنفرانسی
زبان: English
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ISERB04_217

تاریخ نمایه سازی: 16 تیر 1397

Abstract:

Introduction: Considering the severe decline in fertility rates in Iran and disassemble the balance of the Sunni Pyramid, which could cause irreparable economic and social damage to the country, it is necessary to survey of the effective factors on the reduction of fertility rates. The purpose of this study was to investigate the Fertility motivations and some related factors in women of reproductive age who referred to health centers in Sabzevar in 1395. Materials and Methods: This cross-sectional study was performed on 450 women(in age 18- 35) referring to health centers of Sabzevar city in 2016 with method of clustered. Data collection tools included demographic questionnaire, Miller’s Childbearing Questionnaire. Data were analyzed using descriptive statistics, Pearson correlation tests, Spearman, and Kruskal Wallistests. The significance level was less than 0.05. Results: The average score of positive fertility motivation was 22.64& plusmn; 0.33 and the negative motives was 17.1±3.85. There was a significant and reverse correlation between positive fertility motivation with Education level(p=0.01) and between the negative fertility motivation with income level(p=0.001). There was a significant and direct correlation between the positive fertility motivation with Age(p=0.01), number of pregnancies, childbirth and children(p=0.001). There was a significantrelationship between Child gender, lodging and spouse s occupation (p=0.01). Conclusion: The results of this study showed that age, education level, number of children and pregnancies and delivery, income level, spouse s occupation,plase of lodging, having both of child sex, duration of marriage and female employment of factors related to fertility motives.

Authors

Zahra Zaree

Sabzevar Medical University

Ehsan Safari

Computational Medical Center Of Singapore University Of Medical Sciences , Duke-NUS,

Roya Kiayi Tabar

Computational Medical Center Of Singapore University Of Medical Sciences , Duke-NUS,

Mojtaba Lal Ahangar

Sabzevar Medical University,