Search In this Thesis
   Search In this Thesis  
العنوان
Health profile of school age children using digital technology in Beni-Suef City /
الناشر
Safaa sayed Mustafa Ibrahim ,
المؤلف
Safaa sayed Mustafa Ibrahim
هيئة الاعداد
باحث / Safaa sayed Mustafa Ibrahim
مشرف / Saneya Mohamed Risk
مشرف / Ebtesam Mo`awad
مناقش / Ebtesam Mo`awad
تاريخ النشر
2018
عدد الصفحات
216 , 15 Leaves :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
المجتمع والرعاية المنزلية
تاريخ الإجازة
29/12/2018
مكان الإجازة
جامعة القاهرة - كلية التمريض - Community Health Nursing
الفهرس
Only 14 pages are availabe for public view

from 230

from 230

Abstract

Digital technology assumed central roles in elementary school aged children daily lives. Today, children have access to all types of digital technology and exceeding recommended screen time allowed for their age. Recent evidence raises concern about consequences of digital technology on children bio psychosocial health profile. This study aimed to assess bio-psycho-social health profile of school age children (9-15yrs old) using digital technology in Beni-suef city. A descriptive research design was utilized. Setting the study was conducted at four official experimental schools in Beni-suef city. A systematic random sample of 240 elementary school students was selected. Two tools were used to collect data, the first tool includes 4 parts asking about demographic and personal data, child physical health profile, child psychosocial health profile, Scholastic and sporting activities. Second tool, digital technology usage data includes 5 parts, digital technology ownership, preferable types, pattern, screen time and activities of digital technology used by students. Results: revealed that 52.5% of students aged from 12-15 years old, while77.5% of them didn{u2018}t participate in sporting activities. Additionally, revealed that students have complained of physical symptoms ranked gradually as digestive symptom, musculoskeletal symptoms, neurological symptoms,and ophthalmological symptoms(:4.4%, 94.86%, 92.36% , % 67.36 ) respectively. Moreover, 33.8% of them were overweight and 43.7% of them were obese