Is social media bad for every child, or only some?

Short answer: only some, and that is the most useful thing this research has produced. Studies that average thousands of teenagers together find very small effects, which is why the public argument has run for a decade. When researchers measure children one at a time instead, the direction of the effect differs child by child. In the one study that did this properly, 46% of adolescents felt better after passive social media use, 44% felt no different, and 10% felt worse. The argument about the average was always the wrong argument. The question worth asking is which of those three groups your child is in, and you can answer it by observation rather than by research.

Why averaging hides your child

For most of the last decade the public debate ran on studies that pooled very large numbers of young people and reported one average association between use and wellbeing. Those studies found something real but tiny. A specification curve analysis across three large UK and US datasets, covering 355,358 young people, found the association between digital technology use and adolescent wellbeing was negative but explained at most 0.4% of the variation in wellbeing (Orben & Przybylski, 2019). A Journal of Child Psychology and Psychiatry annual research review reached a similarly cautious conclusion, arguing that fears had outpaced the evidence (Odgers & Jensen, 2020). Both are good science. The problem is what an average does to a mixed group. If a tenth of children get reliably worse, about half get mildly better and the rest are unmoved, the average lands near zero and misdescribes every single one of them.

What happens when you measure one child at a time

A research group in the Netherlands tested this directly. Instead of surveying teenagers once, they used experience sampling, sending short surveys six times a day for a week and estimating the effect separately for each individual rather than for the group. Across 2,155 real-time reports from 63 adolescents aged 14 and 15, they found that after passive social media use 46% felt better, 44% felt no different, and 10% felt worse (Beyens et al., 2020). Note the size and the source: 63 pupils from six classrooms at a single secondary school in the south of the Netherlands. That is a demonstration rather than a population estimate. What it demonstrates is the thing that matters most here, which is that a single average effect does not describe an individual child, and that the largest group was helped rather than harmed.

Which children are most affected

A survey of 951 Australian adolescents aged 12 to 16, average age just under 14, drawn from six independent high schools, asked which psychological traits change the relationship between social media use and anxiety. Fear of missing out did. Among the 11% of teenagers who scored highest on it, more use went with more anxiety; among those low in it, more use went with slightly less anxiety (Einstein, Dabb & Fraser, 2023). Self compassion, which the team expected might buffer the effect, made no difference. Be careful with the size: the moderation accounted for about 2% of the variation in anxiety scores, the overall correlation between use and anxiety was weak, and the authors’ own conclusion is that “for the majority of adolescents, high social media use is not necessarily associated with increased anxiety symptoms.”

That last sentence is the honest answer to this article’s title, and it is worth sitting with. For most children, heavy use was not linked to more anxiety. For roughly one in ten, it was. Those are different children needing different rules.

Two limits worth naming. The study was a snapshot taken once, so it cannot tell you whether the social media came first or the anxiety did, and anxious teenagers plausibly seek out more of it. And use was measured with a single question on a six point scale, which is a blunt instrument for a behaviour this varied.

What this changes about the rules you set

If children differ this much, four common pieces of advice become questionable. The replacement is not more restriction but better targeting, because a rule built for the average child is wrong for most individual children. Stop chasing a number of minutes, since a daily allowance treats every hour as equivalent and every child as identical. Watch how your child is when they put the phone down rather than how long they held it. Tighten by app rather than by clock, because if comparison is the mechanism then image and audience apps matter far more than messaging a known group. And set different rules for different children, saying plainly why. The four steps below are in the order that causes least conflict.

Replace the allowance with an observation. For two weeks, ask the same question each time the phone goes down: “how do you feel now?” Write the answer down. The pattern is your evidence.
Watch the after, not the during. A child who comes off a feed flat, irritable or needing reassurance is telling you something no usage report contains.
Tighten by app and by hour. Blocking a category during specific hours is a sharper instrument than an overall limit, and our guide to blocking websites and apps covers how.
Set different rules per child, and name the reason. Siblings will object. You already give a seven year old and a fifteen year old different bedtimes without anyone calling it unjust.

If your child reaches for the phone to settle an uncomfortable feeling rather than for enjoyment, you are managing a coping strategy rather than a hobby, which we cover in why a child cannot put the phone down.

How to tell which group your child is in

There is no validated home test for this, so what you have is observation over weeks, which is less precise and considerably more useful than any single number. The signals below point towards the smaller, more affected group. None is diagnostic on its own, and a perfectly ordinary 14 year old will show two or three of them in a bad week. What distinguishes a problem is duration and interference: present most days for several weeks, and getting in the way of sleep, school or friendships. If that is what you are seeing, the next step is a GP or a psychologist registered with the Health Professions Council of South Africa. A stricter rule is not a treatment for anxiety, and nobody should sell it as one.

Real distress at being offline, as opposed to ordinary annoyance.
Checking that continues into the night, or waking in order to check.
Anxiety specifically about what others are doing, who was together, who replied.
A mood that is consistently worse after scrolling rather than better.
Reassurance seeking, such as repeatedly asking whether a message sounded wrong.
Withdrawal from things they used to enjoy that do not involve a screen.
Appearance comparison showing up in how they talk about themselves.

Two notes on scope. This article is built on research about anxiety and fear of missing out, which in practice tends to describe girls’ experience more closely than boys’. Risk for boys more often runs through gaming, in game spending and muscularity focused feeds, which are different mechanisms with their own evidence. And almost every number here comes from adolescents reporting their own use, which people are demonstrably bad at estimating.

What this does not mean

The nuance genuinely cuts both ways, and a one sided reading of this evidence would mislead you in the other direction. Barely affected on a wellbeing scale is not the same as no effect on sleep, attention or what a child is exposed to, and averages that look small on one outcome can hide real effects on another. Nor does any of it mean you can identify your child’s group from a questionnaire. Most importantly, it does not mean restriction alone is the answer. A cross sectional study of 1,227 pupils across 30 English secondary schools found pupils at schools banning recreational phone use had no better wellbeing than pupils at permissive schools, and no lower total daily use, even though in-school use fell by around 40 minutes (Goodyear et al., 2025).

That study is worth reading carefully rather than as a headline. The authors’ own explanation for the null result is that the policies did not reduce overall time, and the same paper found higher total phone and social media use was associated with worse mental wellbeing, worse sleep, less physical activity and lower attainment. A boundary covering six hours of a sixteen hour day gets made up in the other ten. Notably, it is also the one study here that measured use objectively, through iOS Screen Time and Android Digital Wellbeing rather than self report.

Frequently asked questions

Not quite. It means wellbeing is not the only outcome worth protecting. A child who is unaffected emotionally can still be losing sleep, losing attention, or encountering content you would not choose for them, and the Goodyear study above found total use associated with all three. Keep the safety boundaries and the night time boundary regardless, then use your own observation to decide how tight the rest needs to be.

How young is too young, if it varies this much?

Variation between children is not an argument for early access. The developmental case for delay is strongest at the youngest ages, when the capacities needed to handle an audience are least developed, and a nine year old has none of them. Age thresholds are a blunt tool and for a young child they are the right blunt tool. Our guidance on screen time by age sets out a fuller view.

My two children are completely different. Are different rules fair?

Fairness is not sameness. The version that causes real resentment is unexplained difference, so name the reason, set a review date you both know, and make sure the child with the tighter rule can see a path to the looser one. A rule with no exit gets sabotaged.

Can a child become less prone to fear of missing out?

There is cautious reason for optimism and no grounds for overselling it. A quasi-controlled, non-randomised trial of an 18 lesson classroom programme across two Australian high schools lowered intolerance of uncertainty straight after delivery but not at later follow up, and at follow up students reported looking at other people’s posts less often. It changed nothing on anxiety, depression or fear of missing out, and the authors flag high attrition as a limitation (Einstein et al., 2024). Promising, not settled, and not a treatment.

If your children need different limits, the practical requirement is per child rules rather than one household switch. Fyltec’s content filtering works on every plan; custom schedules are on the Premium plan. See the plans and what each covers.

This article summarises published research for general information and is not clinical advice. If you are concerned about your child’s anxiety or mood, speak to your GP or a psychologist registered with the Health Professions Council of South Africa.