Showing 5 results for Fertility
N Zare, M Sayadi, E Rezaeyan Fard, H Ghaem,
Volume 6, Issue 1 (6-2010)
Abstract
Background & objectives: statistical modeling explicates the observed changes in data by means of mathematics equations. In cases that dependent variable is count, Poisson model is applied. If Poisson model is not applicable in a specific situation, it is better to apply the generalized Poisson model. So, our emphasis in this study is to notice the data structure, introducing the generalized Poisson regression model and its application in estimates of effective factors coefficients on the number of children and comparing it with Poisson regression model results.
Methods: Besides introducing Poisson regression model, we introduced its application in fertility data analysis. A sample of 1019 women in rural areas of Fars was selected by cross sectional and stratified sampling methods. The number of children of family was determined as a count response variable for model validation.
Results: The sample mean and sample variance of the response variable Y, the number of children, are respectively 4.3 and 8.3 (over-dispersion). Log-likelihood was -1950.93 for Poisson regression and -1946.93 for generalized Poisson regression model.
Conclusions: The results revealed that this data have over-dispersion. According to selection criteria, the suitable model for this data analysis was generalized Poisson regression model. It can estimate effective factors coefficients on the number of children exactly.
N Nikoubakht, U Karimi, H Bahrami,
Volume 7, Issue 1 (6-2011)
Abstract
Background & Objectives: The rate of burnout may be high in unfertilized women, since there is little known
about it, we designed a study to compare "couple burnout" between fertilized and unfertilized women in Tehran,
Iran.
Methods: All (60 women) referred unfertilized women to reproductive center of Imam Khomeini teaching hospital
were included in our study during 2009 year. By systematic random sampling we recruited 60 unfertilized women
as control group. Couple Burnout’s specific questionnaire was filled up by participants.
Results: Unfertilized women experienced higher levels of couple burnout compared to fertilized cases (P<0.001).
Furthermore unfertilized women with higher education showed an elevated rate of couple burnout than women
with lower educational status (P=0.002).
Conclusion: In management of unfertilized families, "couple burnout" is an important underlying factor that should
be considered in infertility treatment in primary health care system.
N Bahrami, A Yaghoobzadeh, H Sharif Nia , Ma Soliemani, Aa Haghdoost,
Volume 12, Issue 2 (8-2016)
Abstract
Background and Objectives: Infertility is one of the most important crises in the lives of couples, which create psychological consequences beside the economic, social and individual problems,. Decreased sexual satisfaction is one of the consequences of infertility. Given the importance of this concept in the life of infertile couples, a tool to measure the sexual satisfaction of this group of people is necessary. Thus, the study aimed to assess the psychometric properties of the Persian version of the LSSQ in Iranian infertile couples in 2013.
Methods: In this methodological study, 150 Iranian infertile couples completed the 25-item Larson's sexual satisfaction questionnaire in Qazvin. Its reliability was determined by the calculation of Cronbach's alpha coefficient. Exploratory and confirmatory factor analyses were done by SPSS-AMOS22.
Results: The internal consistency of the sexual satisfaction questions estimated with Cronbach's alpha was more than 0.7. Exploratory factor analysis was used to evaluate the construct validity of the questionnaire which showed 4 factors (desire to have sexual relations, sexual attitude, quality of sex life, and sexual compatibility) with Eigen values greater than one. Four latent factors explained 53.21% of the total variance. Confirmatory factor analysis confirmed the final model of the construct of the questionnaire.
Conclusion: The results of study showed that the Persian version of LSSQ has a suitable validity and reliability in the Iranian infertile couples. Factor analysis confirmed that the LSSQ had a multi-dimensional structure.
A Bagheri, Hb Razeghi Nasrabad , M Saadati,
Volume 13, Issue 2 (9-2017)
Abstract
Background and Objectives: 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.
Methods: 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.
Results: All predictors in this study had significant effects on ideal number of children in Semnan (p-value <0.05). Women’s ideal number of children who had 2 or fewer children, were employed, and had university education with consanguineous and rural marriage was higher than those who had 3 and more children, were unemployed, and had elementary and secondary education with inter-family and urban marriage.
Conclusion: 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.
A Bagheri, M Saadati,
Volume 15, Issue 1 (5-2019)
Abstract
Background and Objectives: One of the most important determinants of the fertility level is the birth interval. Considering the importance of this issue, the aim of this study was to analyze the first and second birth intervals using shared frailty survival model and comparing factors affecting these intervals.
Methods: Probability proportional to size stratified sampling was used to select 610 married women aged 15-49 years from different regions of Tehran during the winter and spring of 2017. Data were collected using a structured questionnaire. The shared frailty survival model was fitted to investigate the effect of calendar period, age at marriage, education level, education level of the spouse, job and migration status, household costs, and place of residence on first and second birth intervals.
Results: The median length of the first and second birth interval was 38 and 55 months, respectively. Calendar period had a significant effect on the first birth interval (p-value=0.016). Job status (p-value=0.045) and place of residence (p-value=0.025) had a significant effect on the second birth interval. The hazard rate of the first birth interval for women in the recent calendar period compared to women in the first period was equal to 0.448, and the hazard rate of the second birth interval for employed compared to unemployed, living in developed versus undeveloped regions was 0.812, and 0.724, respectively
Conclusion: Delayed childbearing among young women and longer second birth intervals in employed women may result from economic and social conditions that can be prevented by providing appropriate conditions.
