Factors Affecting Diabetes Type-۱ Based On Individuality And Self-care Evaluation

سال انتشار: 1398
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 218

متن کامل این مقاله منتشر نشده است و فقط به صورت چکیده یا چکیده مبسوط در پایگاه موجود می باشد.
توضیح: معمولا کلیه مقالاتی که کمتر از ۵ صفحه باشند در پایگاه سیویلیکا اصل مقاله (فول تکست) محسوب نمی شوند و فقط کاربران عضو بدون کسر اعتبار می توانند فایل آنها را دریافت نمایند.

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:

شناسه ملی سند علمی:

JR_PMJ-4-14_004

تاریخ نمایه سازی: 1 خرداد 1400

چکیده مقاله:

Despite the increasing number of diabetic patients, self-care plays an important role in the prevention and detection of various complications such as neurological disorders. The aim of this experiment was to investigate the main factors affecting diabetes type ۱ and self-care. For this purpose, six volunteer subjects with diabetes type ۱ were included. Their glucose levels together with the carbohydrate intake and other factors were recorded four times a day for ۳۰ days. In order to perform statistical analysis, the one-way variance analysis, Pearson correlation coefficient, time series analysis, and the combined time series (panel) analysis were applied. The findings of this study demonstrated that the alteration in blood glucose levels was strongly influenced by carbohydrate intake, physical activity, stress level, amount of sleep, and insulin; while slightly influenced by pills and supplements use, hypoglycemia, insulin sensitivity, alcohol and cigarette use, and comorbidity. In four patients, the self-care score was normal, one patient exhibited high level and the reaming showed low level. For each patient, the error rate was as follows: ۶.۴۵۱, ۶.۰۹۵, ۸.۸۱۹, ۷.۳۶۸, ۶.۰۵, ۵.۸۵۶. Regarding to the loss of HbA۱c rate after our study, people are advised to control their blood glucose levels based on individual preferences, conditions, lifestyle, and physiology for preventing severe diabetes type ۱ conditions and extra cost.

کلیدواژه ها:

Self ، care Affecting Factor Panel Analysis

نویسندگان

Elham Nazari

Department of Medical Informatics, Tarbiat Modarres University, Tehran, Iran

MehrAli Rahimi

Department of Medicine, Kermanshah Univesrsity of Medical Sciences, Iran

Mohammad Firoozabadi

Department of Medical Informatics, Tarbiat Modarres University, Tehran, Iran