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Factors Affecting Response to Infertility Treatment: Case of Iran

INTRODUCTION: Infertility affects both women and men in all the countries. Infertility often has profound long-term or short-term impacts on the people involved and puts them at risk of familial and social pressures. According to WHO estimates, between 8% and 12% of all the couples worldwide experie...

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Detalles Bibliográficos
Autores principales: Peyromusavi, Fatemeh, Barouni, Mohsen, Naderi, Tayebeh, Shahravan, Arash
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Canadian Center of Science and Education 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4803951/
https://www.ncbi.nlm.nih.gov/pubmed/26234994
http://dx.doi.org/10.5539/gjhs.v8n1p118
Descripción
Sumario:INTRODUCTION: Infertility affects both women and men in all the countries. Infertility often has profound long-term or short-term impacts on the people involved and puts them at risk of familial and social pressures. According to WHO estimates, between 8% and 12% of all the couples worldwide experience some form of infertility during their reproductive life, i.e. 50–80 million people are affected. The aim of this study was to evaluate the response to infertility treatment by taking into account factors such as age, hirsutism, menstruation and galactose among women in Kerman. METHODOLOGY: Of a total of 300 patient files evaluated 220 cases were flawless, of which the study factors were recorded. These data were estimated by Logit model. The dependent variable was the response to treatment (0 and 1) and the independent variables included age of men and women, hirsutism, menstruation, galactose, duration of the period no preventive measures were used and body mass index. After entering the data, model output was analyzed by using the STATA software. RESULTS: The results showed that of all the model variables, female age (prob=0.0065), menstruation (prob=0.04), hirsutism (prob=0.02), marriage age (in months) (prob=0.02) and BMI were significant and other variables were not significant. McFadden analysis for goodness of fit was 0.92. CONCLUSION: The study results showed that women should pay more attention to variables such as BMI, menstruation quality (regular and irregular) and aging because clinical disregard of any of the above can have a significant impact on the individual’s fertility.