فهرست مطالب hb razeghi nasrabad

Due to the structural and attitudinal changes in Iran, marriage age has been documented in various research studies, but so far, the determinants of the intended age of marriage have not been studied. This study aimed to investigate the determinants of the intended age of marriage of unmarried youths in Isfahan. The sample includes 400 young people aged 18-35 years who were collected using a sampling method. To gather the data, we interviewed the subjects in 2021. Analysis of variance, Pearson correlation coefficient, and multiple regression were used to test the hypotheses. The results showed that the average intended age of marriage for boys and girls are 28.2 and 26.6 years respectively. However, the optimal age of marriage for men and women is lower than the intended age of marriage. The gap indicates that marriage is affected by many factors. According to the findings, the variables of religious commitment, work experience, and guidance of friends have a significant relationship with the intended age of marriage of girls. Also, the intended age of marriage of boys has a significant relationship with the variables of education, religious commitment, and socio-economic status. In general, according to this study, in addition to economic factors, values and attitudinal change are also important at the intended age of marriage, and due to the high age of intended marriage, facilitating youth marriage and encouraging them to marry at the appropriate age is very important.

Changes in ideals and aspirations of childbearing are important factors in fertility behavior. Nowadays, fertility rate reduction below the replacement level and decreased childbearing ideals are the most common fertility challenges in Iran. So, with the decrease in the fertility rate, it is necessary to be aware of the ideal number of children and its determinants in order to adopt suitable population policies contexts. The main objective of this study was to investigate factors affecting the ideal number of children using Poisson regression model.
In 2012, 389 ever married women aged 15-49 in Semnan Province were selected using two-phase stratified random sampling method and studied through applying a structured questionnaire. To model the ideal number of children by Poisson regression model, marriage duration has taken as offset and the number of children, job status, education level, marriage type, and resident place were considered as predictors. The model was fitted with SPSS software version 22.
All predictors in this study had significant effects on ideal number of children in Semnan (p-value To model the ideal number of children, since it is discrete and count, a Poisson regression model is more efficient as compared to linear regression model.