All-cause mortality
Evidence basis: observational studies (association, not proof of cause)
Stronger social relationships are associated with lower all-cause mortality.
Population: Adults across general community and clinical populations, from midlife to older age. Holt-Lunstad 2010 pooled 308,849 participants with a mean age at intake of 63.9 years (49% female, 51% male) followed a mean of 7.5 years. Wang 2023 pooled 2,205,199 adults aged 18 years or older, including subgroups with cardiovascular disease or cancer. Nakou 2025 restricted inclusion to older adults.
Research details
Summary
Multiple independent meta-analyses of prospective cohort studies agree that people with stronger, more frequent social relationships have lower all-cause mortality. The foundational synthesis of 148 studies covering 308,849 participants found a random-effects weighted average effect of OR 1.50 (95% CI 1.42-1.59), indicating a 50% increased likelihood of survival for those with stronger social relationships, and this held across age, sex, initial health status, cause of death and follow-up length. A 2023 synthesis of 90 cohorts in 2,205,199 individuals and a 2025 synthesis of 86 cohorts in older adults reproduced the direction with smaller, more precise estimates, though the 2025 review found substantial heterogeneity (I2 = 84.0%).
Why this certainty
Rated Moderate rather than Strong. Consistency is strong: three independent syntheses using different inclusion criteria, populations and eras converge on a harmful direction for social isolation, and precision is good with narrow confidence intervals in the two largest analyses. Relevance is high because mortality is the hardest clinical endpoint available. Certainty is held below Strong because every contributing study is observational, reverse causation is plausible and largely unaddressed, effect estimates range widely across syntheses (1.14 to 1.50), and heterogeneity is substantial.
Limitations
All evidence is observational, so residual confounding by socioeconomic position, baseline health and health behaviours cannot be excluded, and reverse causation is a serious concern because illness and disability both reduce social contact and raise mortality risk. Social exposure definitions vary enormously across studies, from complex social-integration indices to single binary items such as living alone, and Holt-Lunstad 2010 explicitly coded research design rather than assessing individual study risk of bias. Heterogeneity was substantial in the newer pooled analyses (I2 = 84.0% in Nakou 2025), and meta-regression identified study quality and adjustment for cognitive function as predictors of the estimated effect, implying the pooled estimate is sensitive to study design.
Effect estimate
Holt-Lunstad 2010: random-effects weighted average effect size OR 1.50 (95% CI 1.42 to 1.59) across 148 studies and 308,849 participants; complex measures of social integration OR 1.91 (95% CI 1.63 to 2.23) and binary residential status (living alone versus with others) OR 1.19 (95% CI 0.99 to 1.44). Wang 2023: social isolation and all-cause mortality pooled effect size 1.32 (95% CI 1.26 to 1.39); loneliness and all-cause mortality 1.14 (95% CI 1.08 to 1.20). Nakou 2025: loneliness HR 1.14 (95% CI 1.10-1.18), social isolation HR 1.35 (95% CI 1.27-1.43), living alone HR 1.21 (95% CI 1.13-1.30).
- Social Relationships and Mortality Risk: A Meta-analytic Review
- A systematic review and meta-analysis of 90 cohort studies of social isolation, loneliness and mortality
- Loneliness, social isolation, and living alone: a comprehensive systematic review, meta-analysis, and meta-regression of mortality risks in older adults




