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Exercise trials reported lower internet-addiction symptom scores

A meta-analysis favored physical and mental exercise over control conditions, but its rankings and modeled exercise dose need cautious interpretation.

By 100HP editorialAbstract-based explanation checked

Based on the published abstract. The full paper may contain additional methods, results and limitations.

The 30-second takeaway

The pooled trials found lower internet-addiction symptom scores with physical and mental exercise than with control conditions. Mindfulness had the largest reported effect. The abstract does not establish whether this reflects direct comparisons between approaches, and its modeled exercise-dose relationship does not justify a personal exercise target.

Keep in mind

This abstract-based account lacks intervention durations, control details and descriptions of symptom scales. The abstract also omits uncertainty around the ranking and modeled dose estimate, limiting interpretation of these comparisons.

THE NUMBERS, WITH CONTEXT

What researchers found

-1.63 standard deviations (SMD; 95% confidence interval: -2.04 to -1.22)

Internet-addiction symptom scores

Physical and mental exercise versus control groups; negative values mean lower symptom scores with exercise. Assessment timing was not reported.

Front Public Health, 2025 · Original source ↓

Understanding the scale

The standardized estimate puts symptom-score differences on a shared statistical scale. It cannot be read as a percentage reduction in addiction, time spent online or the number of participants who recovered.

Interpreting the dose model

The analysis suggested a curved relationship between exercise amount and symptom outcomes. That model describes the included evidence; without detailed methods and uncertainty, its apparent optimum cannot be treated as a validated prescription.

CHECK THE ORIGINAL

The original publication

The intervention effect of physical and mental exercise on young adults internet addiction disorder: a systematic review and Bayesian model analysis.

Jia S, Wang H, Chu D et al.
Front Public Health · 2025

PubMed ID
41112661
Record checked

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