It is not universal
The result applies to the source’s defined population and period, not every age group, country, or person.
Home / Statistics / Problematic Phone Use Statistics
Data library · reviewed July 26, 2026
Problematic Phone Use Statistics
There is no single standardized prevalence statistic for “phone addiction.” Research uses different constructs—such as problematic smartphone use, compulsive use, or functional impairment—and different screening tools.
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What this statistic measures
Studies vary by age, country, screening questionnaire, and whether they measure symptoms, frequency, or impairment.
Numbers about phone use and wellbeing are easy to overinterpret. A measure of use does not by itself describe whether that use was intentional, required, enjoyable, or harmful. A research association does not prove one factor caused another. This page keeps those distinctions visible so readers can use the result as context rather than a diagnosis or prediction.
What this statistic does not show
It is not a diagnosis
Statistics about use frequency or wellbeing do not diagnose addiction, ADHD, anxiety, depression, or another condition.
It is not a causal claim
Unless a source used a design that supports causal inference, associations should be read as associations.
It is not a product claim
This data does not establish that a particular app or intervention will change an outcome for an individual.
How this relates to intentional phone use
Dia Key uses a small, self-directed routine: a selected-app boundary and a short gratitude entry. It does not claim to treat a condition or guarantee an outcome. If you use a phone boundary, start with one context, preserve essential access, and review whether the setting makes the next action more intentional. See the screen-time guide and app-blocking hub for practical options.