نوع مقاله : مقاله پژوهشی

نویسندگان

1 کارشناسی ارشد آمار زیستی، گروه پزشکی اجتماعی، دانشکده پزشکی، دانشگاه علوم پزشکی سبزوار

2 گروه آمار زیستی و اپید میولوژی، دانشکدة بهداشت، دانشگاه علوم پزشکی مشهد، مشهد، ایران

3 استاد گروه زیست فناوری پزشکی، دانشکده پزشکی، دانشگاه علوم پزشکی مشهد

چکیده

مقدمه: ﻋﺪم ﮐﻨﺘﺮل ﺑﻪ ﻣﻮﻗﻊ دﯾﺎﺑﺖ ﻣﻨﺠﺮ ﺑﻪ ﻋﻮارض ﺟﺒﺮان ﻧﺎﭘﺬﯾﺮی در ﺳﺎﯾﺮ اندام ﻫﺎی ﺑﺪن از ﺟﻤﻠﻪ ﻗﻠﺐ، ﮐﻠﯿﻪ و ﭼﺸﻢ ﻣﯽﮔﺮدد. هدف از این مطالعه بررسی ﻋﻮاﻣﻞ ﺗﻌﯿﯿﻦ ﮐﻨﻨﺪه اﺑﺘﻼ ﺑﻪ پیش دﯾﺎﺑﺖ ﺑﺎ اﺳﺘﻔﺎده از مدل رگرسیون لجستیک می‌باشد.
روش ها: این مطالعه از نوع مقطعی- تحلیلی بوده و داده ها مربوط به آن از مطالعه ی مشهد می‌باشد. جمعیت مورد مطالعه با استفاده از روش نمونه گیری طبقه ای- خوشه ای انتخاب شدند. نمونه‌ها شامل 8810 فرد بین 64-35 سال بودند. متغیرهای مستقل شامل: اطلاعات دموگرافیک، شاخص تن سنجی، فشارخون، اضطراب، افسردگی، سطح فعالیت فیزیکی، الگوهای غذایی سالم و ناسالم، فاکتورهای التهابی، بیوشیمی و لیپیدی بودند. برای تحلیل داده ها از نرم افزار SPSS22 استفاده گردید و سطح معنی داری 05/0 در نظر گرفته شد. مدل رگرسیون لجستیک به منظور شناسایی عوامل تعیین کننده بر داده ها برازش داده شد.
یافته ها: بر اساس نتایج شیوع پیش دیابت، 2/10%(885 نفر) بود، نتایج همچنین نشان داد بین متغیرهای سن، شاخص توده ی بدنی، دور کمر، دور ران، دور بازو، فشارخون، اضطراب، افسردگی، الگوی غذایی سالم و ناسالم، hs-CRP، اوریک اسید، کلسترول، تری گلیسرید و ابتلا به پیش دیابت از لحاظ آماری اختلاف معنی داری وجود دارد(p

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Identify Determinative Factors the Occurrence of Pre-Diabetes Using Logistic Regression Model in Mashhad

نویسندگان [English]

  • elham navipour 1
  • habibollah esmaily 2
  • majid ghayourmobarhan 3

1 Department of Social Medicine, Faculty of Medicine, Sabzevar University of Medical Sciences, Khorasan razavi, Iran

2 Dept. of Epidemiology and Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran

3 Biochemistry & Nutrition Research Center, Mashhad University of Medical Sciences, Mashhad, Iran

چکیده [English]

Introduction: The lack of timely control of diabetes leads to irreparable complications in other organs of the body, including the heart, kidney and eye. The aim of this study was to, Identify determinative Factors the Occurrence of Pre-Diabetes Using Logistic Regression Model in Mashhad by using logistic regression model.
Material and Methods: This is an analytical- cross sectional study. The data are related to MASHAD study. The population was selected by using stratified-cluster sampling. The samples included 8810 individuals aged 35-64 years. Independent variables included: demographic information, anthropometric index, blood pressure, anxiety, depression, physical activity level, healthy and unhealthy diet patterns, inflammatory, biochemical and lipid factors. SPSS-22 software was used to analyze the data and a significant level of 0.05 was considered. The Logistic regression model was fitted to identify the determinant factors on the data.
Results The prevalence of pre-diabetes was, 10.2% (885 cases). The results showed statistically significant association between age, anthropometric index, blood pressure, anxiety, depression, pattern Healthy and unhealthy diet, hs-CRP, uric acid, cholesterol, triglyceride and pre-diabetes (p

کلیدواژه‌ها [English]

  • determinative factors
  • Pre-diabetes
  • Logistic regression
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