Correlation Between Smartphone Addiction, Sleep Problems and Body Mass Index in School Age Children
Summary
NIH registered an observational study (NCT07536334) on ClinicalTrials.gov examining the relationship between smartphone addiction, sleep problems, and BMI in school-age children. The study is an observational cohort with no interventions. Conditions include obesity, overweight, and sleep disorders. No compliance obligations are created by this study registration.
What changed
This document registers a new observational clinical study (NCT07536334) on ClinicalTrials.gov. The study seeks to determine whether smartphone addiction correlates with body mass index and sleep problems in school-age children. Conditions include obesity, overweight, and sleep disorders. No interventions are being tested; participants will be observed in a cohort.
Affected parties include researchers conducting pediatric health studies and healthcare providers interested in pediatric digital media exposure. This is an informational study registration with no regulatory or compliance implications for the public or regulated industries.
Archived snapshot
Apr 18, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
Correlation Between Smartphone Addiction, Sleep Problems and Body Mass Index in School Age Children
Observational NCT07536334 Kind: OBSERVATIONAL Apr 17, 2026
Abstract
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
Interventions: No Intervention: Observational Cohort
Related changes
Get daily alerts for ClinicalTrials.gov Studies
Daily digest delivered to your inbox.
Free. Unsubscribe anytime.
Source
About this page
Every important government, regulator, and court update from around the world. One place. Real-time. Free. Our mission
Source document text, dates, docket IDs, and authority are extracted directly from NIH/NLM.
The summary, classification, recommended actions, deadlines, and penalty information are AI-generated from the original text and may contain errors. Always verify against the source document.
Classification
Who this affects
Taxonomy
Browse Categories
Get alerts for this source
We'll email you when ClinicalTrials.gov Studies publishes new changes.
Subscribed!
Optional. Filters your digest to exactly the updates that matter to you.