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title: "Am I Addicted to My Phone? Signs Researchers Look For"
source: https://unlockr.space/blog/am-i-addicted-to-my-phone
---

# Am I Addicted to My Phone? Signs Researchers Look For
Search for "phone addiction" in the DSM-5 or the ICD-11, the two manuals doctors actually use to diagnose things, and you'll find nothing. Here's what researchers measure instead, the real questionnaire behind most headlines, and why the prevalence numbers swing from under 1% to well over a third depending on who's asking.
By Tin Tran · November 3, 2026 · 7 min read
"Phone addiction" gets used the way "OCD" or "depressed" get used casually, as a figure of speech for something real but not necessarily the clinical thing. Unlike those terms, though, phone addiction has never been a clinical thing in the first place. There's no diagnostic code for it. That doesn't mean heavy phone use can't cause real problems. It means the research on this is messier, and more interesting, than "yes it's an addiction" or "no it isn't."
The short answer: neither the DSM-5-TR nor the ICD-11 recognizes smartphone, internet, or social media addiction as an official diagnosis. Researchers instead use self-report questionnaires built on a general model of behavioral addiction, most often a 10-item scale called the SAS-SV. Those scales flag a lot of people, somewhere around a third in pooled studies, but when researchers require actual functional impairment rather than just a high score, the real number drops to under 2%.
## What's actually in the DSM-5 and ICD-11
The two manuals clinicians use to diagnose mental health conditions, the American Psychiatric Association's DSM-5-TR and the World Health Organization's ICD-11, between them recognize exactly one behavioral condition in this territory, and it isn't about phones.
- Gaming Disorder (ICD-11, code 6C51): formally adopted by the World Health Assembly in May 2019, under "Disorders due to addictive behaviours," alongside Gambling Disorder. It covers impaired control over gaming, prioritizing it over other life activities, and continuing despite negative consequences, specific to video games.
- Internet Gaming Disorder (DSM-5, Section III): the APA lists this only as a "condition for further study," explicitly not an approved diagnosis, meant to encourage more research before any future decision. Its proposed criteria are also limited to internet gaming, not general internet, phone, or social media use.
Neither covers scrolling Instagram, texting, or checking email. "Smartphone addiction" and "social media addiction" are research terms, used constantly in academic papers, but they don't have an ICD or DSM code behind them. If a quiz or app tells you that you have "clinical phone addiction," it's using a phrase that doesn't officially exist yet.
## The six signs behind most addiction scales
Without an official diagnosis to measure against, most researchers in this field borrow a general framework for behavioral addiction developed by psychologist Mark Griffiths: six components that, together, are meant to distinguish addiction from simply enjoying something a lot.
| Component | What it looks like with a phone |
| Salience | Your phone dominates your thinking, feelings, and behavior even when you're not using it |
| Mood modification | You use it specifically to change how you feel, not just to accomplish something |
| Tolerance | You need more time on it to get the same effect you used to get from less |
| Withdrawal | Unpleasant feelings, irritability, or restlessness when you can't use it |
| Conflict | It causes friction with other people, work, or other parts of your life, including with yourself |
| Relapse | You revert to old patterns of heavy use after a period of cutting back |
Most published smartphone and social media scales map their questions onto some version of these six components. The Bergen Social Media Addiction Scale, for instance, has exactly six items, one per component. It's a useful checklist. It's also, by Griffiths' own argument, meant to require all six to be present before the word "addiction" applies, not just one or two, a nuance that gets lost whenever someone takes a single symptom, like checking your phone a lot, as proof of addiction on its own.
## The 10 questions researchers actually ask
The most widely used instrument is the Smartphone Addiction Scale-Short Version (SAS-SV), developed by Kwon and colleagues in 2013 from a longer 33-item scale. Validated on 540 Korean adolescents, its 10 items are each rated from 1 ("strongly disagree") to 6 ("strongly agree"):
- Missing planned work due to smartphone use
- Having a hard time concentrating in class, while doing assignments, or while working due to smartphone use
- Feeling pain in the wrists or at the back of the neck while using a smartphone
- Won't be able to stand not having a smartphone
- Feeling impatient and fretful when I am not holding my smartphone
- Having my smartphone in my mind even when I am not using it
- I will never give up using my smartphone even when my daily life is already greatly affected by it
- Constantly checking my smartphone so as not to miss conversations between other people on social media
- Using my smartphone longer than I had intended
- The people around me tell me that I use my smartphone too much
Add up the 10 scores (range 10 to 60) and the original study's cutoff for the "at-risk" group was 31 for men and 33 for women, derived by comparing scores against clinical psychologists' assessments. As a reference point, people in that study who described themselves as addicted averaged 34 points; people who said they weren't averaged 22.
## Why "37% are addicted" and "1% are addicted" are both true
This is where the honest picture gets interesting. Two recent studies, both methodologically sound, land on wildly different numbers because they're measuring different things.
37.1%pooled prevalence across 109 studies and 97,748 people, scored above a scale cutoff 0.75–1.2%prevalence in a representative US sample when functional impairment was required
The 37.1% figure comes from a 2024 meta-analysis of problematic smartphone use studies from 2012 to 2022. It's a real, careful synthesis, but it's also worth knowing that the heterogeneity between the pooled studies was close to total (I² ≈ 99%), meaning the individual studies barely agreed with each other, some used different scales, different cutoffs, different populations. A single pooled percentage from numbers that inconsistent is a rough average of very different things, not a precise fact about the world.
The 0.75% to 1.2% figure comes from a 2025 study of 1,989 representative US adults, and the difference in method is the whole story. Instead of just scoring above a cutoff, researchers also required evidence of actual functional impairment, meaning the phone use was demonstrably interfering with work, relationships, or daily functioning, not just that someone rated themselves highly on a questionnaire. In the authors' own words, the goal was "to avoid pathologizing a ubiquitous behavior that may be intensive but not necessarily pathological."
Put plainly: a lot of people use their phone a lot and would score high on a self-report checklist. Very few of them are actually unable to function because of it. Both things are true at once, and conflating them is how you get headlines claiming a third of the population is clinically addicted to their phone.
## Is "addiction" even the right word?
Some researchers argue the field reached for the wrong label entirely. In a widely cited 2018 review, psychologists Tayana Panova and Xavier Carbonell concluded there wasn't enough evidence to classify heavy smartphone use as a true addictive behavior, and argued for the term problematic smartphone use instead. Their point, echoed by others since, is a useful analogy: a phone is the delivery mechanism, not the substance. Confusing addiction to a phone with addiction to whatever you're actually doing on it (gambling, a specific game, social comparison) can be like confusing addiction to a bottle with addiction to alcohol.
That's not the same as saying nothing is wrong. It's an argument for being specific about what the actual problem is: is it notifications pulling your attention constantly, a checking habit that runs on autopilot, a specific app's feed, or hours lost at night? Those are each addressed differently, and I've covered the research on several of them directly:
- Why you keep checking your phone, on the habit loop behind pickups
- How to turn off YouTube Shorts and Instagram Reels, for the specific feeds designed to be hard to stop
- How to reduce screen time on iPhone, for what's actually been tested to help
A reasonable personal check isn't "do I match six abstract components," it's closer to what the 2025 study used: is your phone use actually interfering with your work, your sleep, your relationships, or things you care about, in a way you can point to? If yes, that's worth addressing regardless of what any scale or manual calls it. If it's just a lot of time spent on a device everyone around you is also glued to, that's a different, far more common, and far less alarming problem.
## Keep reading
- Why You Keep Checking Your Phone Most pickups start without a notification. What builds the habit, and what weakens it.
- Dopamine Detox: What the Science Actually Says Where the trend came from, and why dopamine doesn't deplete the way people assume.
- What Happens When You Quit Social Media? Three real randomized experiments on quitting or limiting, read from the papers.
## Frequently asked questions
**Q:** Is phone addiction a real diagnosis?
No. Neither the DSM-5-TR nor the ICD-11 lists smartphone addiction, internet addiction, or social media addiction as an official diagnosis. The only related conditions are Gaming Disorder, formally recognized by the WHO in ICD-11 in 2019, and Internet Gaming Disorder, which the APA lists in the DSM-5 only as a condition needing further research, not an approved diagnosis. Both apply specifically to video games, not general smartphone or social media use.
**Q:** What scale do researchers use to measure phone addiction?
The most widely used is the Smartphone Addiction Scale-Short Version (SAS-SV), a 10-item questionnaire developed by Kwon and colleagues in 2013. Each item is rated on a 6-point scale, and scores of 31 or higher for men or 33 or higher for women are flagged as the at-risk range, based on the original validation study.
**Q:** How common is phone addiction really?
It depends entirely on the definition. A 2024 meta-analysis of over 97,000 people found 37.1% scored above the cutoff on self-report scales. But a 2025 study of a representative US sample found that when a functional impairment criterion was actually required, prevalence dropped to 0.75% to 1.2%. Most people who score high on a self-report scale are not functionally impaired by their phone use.
## Sources
- Kwon, M., Kim, D.-J., Cho, H., & Yang, S. (2013). The smartphone addiction scale: Development and validation of a short version for adolescents. PLOS ONE, 8(12), e83558. doi.org/10.1371/journal.pone.0083558
- Rochat, L., Cruz, G. V., Aboujaoude, E., Courtois, R., Ben Brahim, F., Khan, R., & Khazaal, Y. (2025). Problematic smartphone use in a representative sample of US adults: Prevalence and predictors. Addictive Behaviors, 162, 108228. doi.org/10.1016/j.addbeh.2024.108228
- Lu, X., An, X., & Chen, S. (2024). Trends and influencing factors in problematic smartphone use prevalence (2012–2022): A systematic review and meta-analysis. Cyberpsychology, Behavior, and Social Networking, 27(9), 616–634. doi.org/10.1089/cyber.2023.0548
- Panova, T., & Carbonell, X. (2018). Is smartphone addiction really an addiction? Journal of Behavioral Addictions, 7(2), 252–259. doi.org/10.1556/2006.7.2018.49
- Griffiths, M. D. (2005). A "components" model of addiction within a biopsychosocial framework. Journal of Substance Use, 10(4), 191–197.
- World Health Organization. ICD-11: 6C51 Gaming disorder. Adopted by the World Health Assembly, May 2019.
- American Psychiatric Association. DSM-5: Internet Gaming Disorder (Section III, condition for further study).
