شماره ركورد كنفرانس :
5470
عنوان مقاله :
Factors affecting the growth disorder of children under two years of age using multilevel models
پديدآورندگان :
Azarbar A 1a.azarbar@urmia.ac.ir Department of Mathematics, Urmia University, Urmia, Iran
تعداد صفحه :
10
كليدواژه :
Multilevel Model , Regression Model , Longitudinal Data , Growth Disorder.
سال انتشار :
1402
عنوان كنفرانس :
نهمين سمينار تخصصي نظريه قابليت اعتماد و كاربردهاي آن
زبان مدرك :
انگليسي
چكيده فارسي :
Delay or stop in children’s growth is referred to as failure to thrive (abbreviated as FTT) which leads to adverse effects such as increased mortality, reduced learning, cognitive, physical, and emotional disability, and other related illnesses. To date, different studies have been carried out in this field and factors affecting growth failure have been identified. Stopping breast feeding, teething, urinary and respiratory tract infection, fever, diarrhea, and malnutrition are identified as the most important factors affecting failure to thrive. Most of these studies apply common regression models; however, multilevel regression models involve the random effects model which allows taking genetic and individual factors into account. In the present study, given that the data were longitudinal and multilevel regression models were used for data analysis, the individual characteristics of children were identified as being among the factors affecting failure to thrive. Accordingly, it can be argued that, in identical conditions, children develop different levels of growth disorder.
كشور :
ايران
لينک به اين مدرک :
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