Being a bit isolated

Peer-reviewed research · 3 sources · Last verified 2026-08-24

Being a bit on your own rarely feels like a health question. It feels like a season - a busy stretch, a move, a phase that will pass. But in pooled data from long-running studies that followed people for years, those with the least actual contact with other people went on to die at a higher rate than those with more. The part almost nobody expects is which half carries the weight. The measurable thinning of contact tracks a larger difference than the feeling of loneliness does.

The one honest fix

The next time you say we should catch up sometime, do not let it stay sometime. Name a day before the conversation ends, and set it to repeat.

Free · behavioral

What the evidence says


In a systematic review and meta-analysis of 86 prospective cohort studies of older adults, most of them sixty-five or over, people who met their study's definition of being socially isolated died at 1.35 times the rate of people who did not (95% CI 1.27 to 1.43), pooled from 37 studies contributing 61 estimates and 233,279 participants

+35% · HR 1.35, 95% CI 1.27-1.43

n=233,279 · Meta-analysis of cohort studies · associational

Limitations & how to read this number

Three things belong beside this figure. The first is what social isolation meant in the studies that were pooled. It was not a feeling and it was not a matter of degree: each study measured something countable - how large somebody's social network was, how often they saw or spoke to other people, whether they belonged to any group, whether they had a partner - and then drew a line, putting people on one side or the other of it. Where that line sat differed from study to study. So this number compares a group that met a definition of isolated with everybody else, and it does not describe someone who is simply seeing fewer people than they used to. Nothing here grades being a bit isolated, because no pooled analysis measures that. The second is who was studied. This review covers older adults; most included studies required participants to be sixty-five or over, and some included people from fifty upwards. It is not a finding about young adults, and it is not evidence about children or teenagers at all. The third is how much the studies disagreed with one another, which was a great deal. The reviewers report a prediction interval running from 0.94 to 1.94, which is their estimate of the range a future study might land in - and it includes no difference at all. They also found signs that studies with smaller or less striking results are missing from the published literature. The participant total quoted here is the sum the reviewers report across the estimates that fed this particular analysis, not the whole review's headcount, and because some studies contributed more than one estimate it should be read as an order of magnitude rather than a census. All of it is observational: nobody was assigned to be isolated, and people who are isolated differ from people who are not in many ways that no statistical adjustment fully removes.

SourceNakou A et al. (2025) · Aging Clinical and Experimental Research · 10.1007/s40520-024-02925-1

In the same review, older adults who reported feeling lonely died at 1.14 times the rate of those who did not (95% CI 1.10 to 1.18), pooled from 52 studies contributing 82 estimates and 308,948 participants - a smaller increase than the one attached to objectively measured isolation in the same paper

+14% · HR 1.14, 95% CI 1.10-1.18

n=308,948 · Meta-analysis of cohort studies · associational

Limitations & how to read this number

This is the figure most people expect to be the big one, and in this review it is the smaller of the two. That is worth sitting with rather than skipping past: the feeling of loneliness and the fact of having little contact are not the same thing, they do not always occur together, and here the countable one carries the larger association. It gets smaller still when the measurement gets better. Studies that used a properly validated loneliness questionnaire produced a lower pooled figure than studies that asked a single question, which is the direction you would expect if some of the effect comes from crude measurement rather than from loneliness itself. And when the reviewers split loneliness into its two recognised halves - emotional loneliness, meaning the absence of a close confidant, and social loneliness, meaning the absence of a wider circle - neither half showed a clear association on its own, though only a handful of studies could be pooled for either, so those two results are too thin to lean on in either direction. The studies disagreed with one another substantially, and the reviewers' prediction interval for a future study runs from 0.89 to 1.46, which includes no difference. The population is older adults. The participant count is the reviewers' sum across the estimates feeding this analysis, and some studies contributed more than one. Everything here is observational, and feeling lonely is bound up with bereavement, illness, income and mood in ways that no adjustment fully separates.

SourceNakou A et al. (2025) · Aging Clinical and Experimental Research · 10.1007/s40520-024-02925-1

In the same review, older adults living alone died at 1.21 times the rate of those who were not (95% CI 1.13 to 1.30), pooled from 17 studies contributing 29 estimates and 86,553 participants, with the association appearing larger in men than in women

+21% · HR 1.21, 95% CI 1.13-1.30

n=86,553 · Meta-analysis of cohort studies · associational

Limitations & how to read this number

Living alone is the crudest of the three measures on this page and the one most likely to be misread. It records a household arrangement, nothing else. It does not know whether someone lives alone and sees people constantly, or lives with others and speaks to nobody, and it cannot tell a chosen solitude apart from an imposed one. It is included because the reviewers analysed it separately and because it is the version of this subject most people recognise in themselves - but it should be read as the weakest evidence of the three, not as a statement about anyone's living arrangements. The split by sex is part of the finding rather than a footnote: in this review the association was clear in men and was not clear in women, whose estimate crossed no difference. It was also smaller in studies that adjusted for income, which suggests that some of what living alone marks is money rather than company. The population is older adults, everything is observational, and among people over sixty-five living alone is entangled with widowhood, which brings its own well-documented rise in mortality. This analysis drew on seventeen studies. The participant figure counts the estimates that fed this analysis, not the whole review. And as with the other two figures, the range within which a future study would be expected to land runs from 0.92 to 1.59 - it includes no difference at all, so a new study finding nothing here would not be a surprise. One thing does point the other way: unlike the other two exposures, this one showed no sign of the small-study bias that inflates published findings.

SourceNakou A et al. (2025) · Aging Clinical and Experimental Research · 10.1007/s40520-024-02925-1

How to actually do it

Most contact does not disappear through a decision. It disappears through the word "sometime". A meeting that has to be arranged from scratch every time depends on someone having the energy to start it, and gradually nobody does. So spend the ten seconds while you are still talking: name an actual day before the conversation ends, and set it to repeat. The default becomes it happening, rather than it needing to be organised.

Supporting findings (2)

In a separate systematic review and meta-analysis of 90 prospective cohort studies covering 2,205,199 adults aged 18 and over, social isolation was associated with a pooled effect size for all-cause mortality of 1.32 (95% CI 1.26 to 1.39) and loneliness with a pooled effect size of 1.14 (95% CI 1.08 to 1.20), close to the figures found in older adults alone

Meta-analysis of cohort studies · associational

This is the reason the rest of the page is not filed under old age. It is a separate review, by a different team, with a different search, and it took in adults of any age from eighteen upwards across ninety long-running studies. It found almost exactly what the older-adult review found: the countable form of isolation attached to a larger difference in death rates than the feeling of loneliness did. Two independent teams arriving at similar figures is the strongest thing that can be said for a body of observational research, and it is worth more than any single number on this page. What it still cannot do is show that isolation causes anything. These are people followed over time and compared with each other, not people assigned to anything, and the same objection applies as everywhere else here: illness, poverty and bereavement all reduce contact as well as shortening life. It is also worth saying that no figure here is broken down by age band, so this review establishes that the association is not confined to older adults without telling us how it varies across a lifetime.

SourceWang F et al. (2023) · Nature Human Behaviour · 10.1038/s41562-023-01617-6

In a preregistered systematic review and meta-analysis of 280 studies of interventions intended to reduce loneliness, the pooled short-term effect across 122 randomised controlled trials was a standardised mean difference of -0.50 (95% CI -0.60 to -0.39), with psychological interventions the most effective strategy and the overall confidence in the estimates graded low to very low

Meta-analysis of randomised trials · associational

This is here to keep the advice on this page inside what has actually been tested. Loneliness has been the subject of a great many trials, and pooled together they do show that things can be done about it. But two details matter more than the headline. The first is which things worked best: the review found psychological approaches - the kind that work on how someone interprets and approaches social situations - to be the strongest strategy, ahead of interventions that simply increased opportunities for social contact. That is an uncomfortable result for anyone hoping the answer is just to see more people, and it is reported here rather than buried. The second is that the reviewers themselves graded their confidence in these estimates as low to very low, and said it remains unclear who benefits most. Nothing in this literature measured whether an intervention changed how long anyone lived; the outcome was how lonely people said they felt afterwards, mostly within a month. So this evidence tells us loneliness is not fixed and can respond to help. It does not license any specific instruction about how often to see people, and no study anywhere in this page's source set tests one schedule of contact against another.

SourceLasgaard M et al. (2026) · American Psychologist · 10.1037/amp0001578

Go deeper


Open what you care about

What these studies actually measured - and why "a bit isolated" is not it

The single most important thing to understand about this evidence is that it does not grade how isolated you are. Every study pooled here took a countable thing - how many people are in someone's social network, how often they see or telephone anyone, whether they belong to a club or a congregation, whether they have a partner - and drew a line through it, putting each participant on one side or the other. Some studies used a formal instrument such as a social network index; others used whatever their survey happened to ask. Then they followed everybody for years and counted who died. So the figures on this page compare a group that met a definition of isolated with everybody else. There is no curve here running from "very connected" through "a bit isolated" to "completely alone", of the sort that exists for alcohol or for steps per day, and anyone who offers you one is inventing it. That has a consequence we take seriously: the question at the top of this page is a fair thing to ask yourself, but the numbers below it cannot be attached to the answer. They describe a contrast between groups, and they are quiet on where you personally sit. One further gap is worth naming, because it is the first thing people ask. None of this evidence compares seeing someone in person with telephoning them or messaging them. The reviews measured contact and network size, not the medium, so this page makes no claim that one kind of contact counts and another does not.

Nakou A et al. 2025

The three things this page refuses to merge

Loneliness, social isolation and living alone get used as synonyms in almost every article written about this subject, and they are three different measurements with three different results. The 2025 review this page is built on separated them deliberately, pooling 86 prospective cohort studies of older adults. Social isolation - the countable version - came out at a hazard ratio of 1.35 (95% CI 1.27 to 1.43), from 37 studies contributing 61 estimates and 233,279 participants. Loneliness - the reported feeling - came out at 1.14 (95% CI 1.10 to 1.18), from 52 studies contributing 82 estimates and 308,948 participants. Living alone, a simple fact about a household, came out at 1.21 (95% CI 1.13 to 1.30), from 17 studies contributing 29 estimates and 86,553 participants. Read them together and the shape is clear: the objective measure carries the largest association, the feeling the smallest. This matters because it inverts the usual story. Loneliness is the word that gets the headlines, and it is the one that is easiest to feel ashamed of; but the thing most strongly associated with dying sooner, in this body of work, is the unglamorous business of how many people are actually in your week. There is a caveat in the other direction, and it belongs here rather than in a footnote. When the reviewers split loneliness into emotional loneliness - missing one close confidant - and social loneliness - missing a wider circle - neither half showed a clear association on its own. Only four and three studies respectively could be pooled, which is far too few to conclude anything, but it is in the same table as the headline and you should know it is there. This is also why the page prints no schedule. The advice you will have heard is to see someone once a week; we went looking for where that came from and could not find it. No study in this page's source set tests one frequency of contact against another, none compares meeting in person with a phone call, and none of the mortality reviews measures a dose at all - they compare an isolated group with everybody else. There is a further complication worth being honest about: the largest review of things that actually reduce loneliness, covering 280 studies, found the most effective strategies were psychological rather than logistical - working on how someone reads social situations beat simply creating more opportunities for contact. The reviewers graded their own confidence as low to very low, and none of those studies measured how long anyone lived. And no study has tested naming a day either. It costs nothing and buys nothing; it is the smallest available move in the direction the evidence points, not a claim that it will make you live longer.

Nakou A et al. 2025

The obvious objection - being ill makes people isolated

Anyone who has watched an illness unfold knows the direction can run the other way. People stop going out because they are unwell, not the reverse; a diagnosis shrinks a social life; grief and frailty and pain all keep people at home. If that explains what these studies see, then the association is real and the interpretation is upside down. This is the single strongest objection to everything on this page and it cannot be settled, because you cannot randomly assign people to be isolated. What can be done is to look at whether the association survives the checks that would weaken it, and here the answer is mixed in an interesting way. When the reviewers compared studies that statistically adjusted for participants' physical health against those that did not, the adjusted studies did not show a smaller association - social isolation came out at 1.37 (95% CI 1.28 to 1.47) among the 49 estimates that adjusted, against 1.24 (95% CI 1.11 to 1.39) among the 12 that did not. The same held for adjustment for mental symptoms. That is not what you would expect if poor health at the outset were generating the whole finding. Pulling the other way: studies with less than five years of follow-up produced larger figures than studies following people for five years or more, for isolation (1.46 versus 1.31) and for loneliness (1.22 versus 1.10) alike. Short follow-up is exactly where illness that was already present but unrecorded would do its damage, so that pattern is consistent with some of the association running backwards. The honest summary is that reverse causation almost certainly inflates these numbers and almost certainly does not account for all of them, and that no observational study can tell you the split.

Nakou A et al. 2025

How solid is this, really

Solid enough to take seriously, and softer than the headline figures make it look. The strongest thing that can be said is replication. A second review, published in Nature Human Behaviour in 2023 by a different team with a different search, pooled 90 prospective cohort studies covering 2,205,199 adults aged eighteen and over and reported a pooled effect size for all-cause mortality of 1.32 (95% CI 1.26 to 1.39) for social isolation and 1.14 (95% CI 1.08 to 1.20) for loneliness. Those are close to the older-adult figures, from a largely different pile of studies, and they also confirm that this is not only a finding about old age. Now the softness. In the older-adult review the studies disagreed with one another a great deal, and the reviewers report prediction intervals - their estimate of where a future study would land - of 0.94 to 1.94 for social isolation and 0.89 to 1.46 for loneliness. Both include the possibility of no difference at all. They also found statistical signs that studies with unimpressive results are missing from the published record, which would push the pooled figures upward. And the lowest-quality studies of social isolation - the eight estimates scoring six or below on the quality scale, covering 41,479 people - produced by far the largest figure, 1.81, while the higher-quality ones produced 1.31. None of this makes the association go away - the effect survives leaving out any single study, and it survives in a second independent review - but it does mean the right posture is that something real is being measured imprecisely, rather than that a number has been nailed down.

Nakou A et al. 2025 · Wang F et al. 2023

Who this page is not for

If you are in crisis right now, contact your local emergency number or a crisis line in your country. Nothing on this page is for that moment. This is written for someone whose contact with other people has quietly thinned out without any decision being made about it. It is not written for, and is not adequate for, anyone whose loneliness has become distress. If you feel persistently low or hopeless, if you have stopped wanting things you used to want, if the isolation is not a drift but something you cannot get out of, or if you have had thoughts of harming yourself or of not wanting to be here, that is a matter for a doctor and not for a page about scheduling. It is an ordinary reason to make an appointment. Nothing on this page diagnoses anything and nothing on it is treatment. The research quoted here counted deaths in large groups of people over years; it cannot say anything about any individual, and it was not designed to. The same applies if you are housebound, caring for someone, recently bereaved, or living with a condition that limits how much you can get out: those are real constraints, the advice below is not built for them, and a clinician or a carers' organisation will have more useful things to say than we do.

Lasgaard M et al. 2026

FAQ


I like being on my own. Is solitude the same as isolation here?

No, and the studies cannot tell the difference, which is a limit rather than a reassurance. What was measured was countable contact - the size of someone's network, how often they saw or spoke to anyone, whether they lived alone - not whether they wanted more of it or were content with what they had. Someone who lives alone by choice, sees three people a week and finds that plenty is scored the same way as someone in identical circumstances who is miserable about it. This is also why nothing here should be read as an instruction about how to live: these are associations observed across large groups over years, and observational research of this kind cannot establish that contact causes anything or that solitude harms anyone. Notably, the one measure closest to plain solitude - simply living alone - produced the weakest evidence of the three on this page, and in this review it did not show a clear association in women at all.

I have felt lonely for a long time and it is not lifting. What then?

Then this page is the wrong size of answer and it is worth saying so plainly. Loneliness that has become persistent distress - low mood that does not lift, losing interest in things that used to matter, being unable to face people rather than simply not seeing them, and above all any thoughts of harming yourself or of not wanting to be here - is a reason to speak to a doctor. That is an ordinary appointment to make, not an extreme one, and if things are acute right now a crisis line or your local emergency number comes first. Nothing on this page is treatment, nothing on it diagnoses anything, and none of the research quoted here studied whether any behaviour helps depression. What can be said, from a 2026 meta-analytic review of 280 intervention studies, is that loneliness is not a fixed trait: interventions do move it, and the approaches that worked best were psychological ones rather than simply arranging more contact - which is another reason the person to talk to may be a clinician rather than a calendar.

Sources


Last verified 2026-08-24 · adversarial fact-check + founder science gate.

Corrections are published openly. Educational content, not medical advice — talk to a professional about your own situation.