Correlation Between Smartphone Addiction, Sleep Problems and Body Mass Index in School Age Children

NCT07536334 | Completed

• 1 other identifier: smartphone addiction and sleep
• Study Type: observational
• Target: 160
• Locations: 1 country
• Sites: 1

Brief Summary

This study sought to determine whether smartphone addiction and school-age children's body mass index (BMI) and sleep problems were related.

Conditions

Obesity & Overweight Sleep

Keywords

Smartphone addiction, sleep, BMI school-age children

Outcome Measures

Primary Outcomes (2)

• 1. Assessment of sleep disorders

  Assessment of change in sleep was carried out by using The Arabic version of the Children's Sleep Habits Questionnaire (CSHQ) (De Pasquale et al.,2017).

  Baseline- one hour for each participant

• 2. Assessment of Body Mass Index (BMI)

  Assessment of change in BMI was carried out by using standard procedures for calculating height and weight. BMI (kg/m2) was computed and converted to z-scores using the CDC's suggested approach (Kuczmarski et al. 2002). BMI z-scores enable for comparisons by accounting for variations in age and gender

  Baseline-one hour for each participant

Interventions

No Intervention: Observational Cohort OTHER

160 students of both sexes, aged 8 to 10, were selected from North Giza primary schools for an observational cross-sectional study. Smartphone addiction was assessed using the smartphone addiction scale-short version (SAS-SV). The Arabic version of the Children's Sleep Habits Questionnaire (CSHQ) was used to gauge sleep, and the CDC-recommended approach was used to measure BMI (kg/m²), which was then converted to z-scores.

Eligibility Criteria

• Age: 8 Years - 10 Years
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Child (0-17)
• Sampling Method: Probability Sample

Study Population

children aged between 8 and 10 years old, addicted children whose scores on Smartphone addiction scale -short version (SAS-SV) were ≥ 31for boys and ≥ 33 for girls, over weight and obese children with body mass index (BMI) percentiles ≥ 85th percentile and ≥ 95th percentile respectively, children whose scores on the Arabic version of the Children's Sleep Habits Questionnaire (CSHQ) were 41 or higher

You may qualify if:

• children were included in the study according to the following criteria; ages between 8 and 10 years old, children whose scores on Smartphone addiction scale -short version (SAS-SV) were ≥ 31for boys and ≥ 33 for girls, over weight and obese children with body mass index (BMI) percentiles ≥ 85th percentile and ≥ 95th percentile respectively, children whose scores on the Arabic version of the Children's Sleep Habits Questionnaire (CSHQ) were 41 or higher.

You may not qualify if:

• Children were excluded if they were suffered from any disease that cause spontaneous weight gain, Children who received medications known to affect nutritional status and who have musculoskeletal or neuromuscular disorders.

Sponsors & Collaborators

• Cairo University: lead

Study Sites (1)

Outpatient clinic, Faculty of physical Therapy, Cairo University

Giza, Egypt

Location

MeSH Terms

Conditions

Obesity; Internet Addiction Disorder

Condition Hierarchy (Ancestors)

Overweight; Overnutrition; Nutrition Disorders; Nutritional and Metabolic Diseases; Body Weight; Signs and Symptoms; Pathological Conditions, Signs and Symptoms; Technology Addiction; Behavior, Addictive; Compulsive Behavior; Impulsive Behavior; Behavior

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: CROSS SECTIONAL
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Amira E Mohamed

Study Record Dates

• First Submitted: April 10, 2026
• First Posted: April 17, 2026
• Study Start: July 1, 2025
• Primary Completion: March 1, 2026
• Study Completion: April 1, 2026
• Last Updated: April 17, 2026

Record last verified: 2026-04

Locations

EG (1)