Application of Mixed Logistic regression model in determination of effective factors related to visible goiter With the health survey data

Message:
Abstract:
Background And Objectives
This study was performed to surveillance visible goiter. Iodine deficiency disorders (IDD) are among the most important health-nutrition problems. In the most area where exposed with iodine deficiency the only visible Complication is goiter.
Material And Method
This study was performed with the data of the national study of health survey (1999) in Iran. In this survey 53633 people were selected and examined thyroid gland. In order to study risk factors of visible goiter Chi-square test and multiple mixed logistic regression have been used.
Result
Based on this study it has been shown that 32.1 percent of people have a kind of goiter. And 4.5 percent of people had visible goiter. Frequency of goiter was significantly different in the age categories, different sex and in rural and urban (p-value<0.001). The 6.1 percent of females have goiter and odds ratio of the goiter for women was 2.29 higher than males (CI95%=(2.09,2.50)). Also 5.4 percent of rural people have goiter and adjusted odds ratio of the goiter for rural people was 1.39 higher than urban people (CI95%=(1.28,1.50)). In this study 6 percent of 13 to 18 years old people have goiter which was the most prevalence of goiter among the age categories.
Conclusion
Consider the result of this study, there should be more consideration on the nutrition of 13 to 18 age category, female and rural to prevent the goiter
Language:
Persian
Published:
Journal of North Khorasan University of Medical Sciences, Volume:3 Issue: 3, 2011
Page:
191
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