Journal Article 1 Mention
Social Relationships and Mortality Risk: A Meta-analytic Review
Julianne Holt‐Lunstad•2010
Timothy B. SmithJ. Bradley Layton
Top 1% · 100th Percentile
7,363 citations · Health
Open Access

TLDR

People with stronger connections to family, friends, and communities were about half again as likely to stay alive during follow-up. Having several kinds of connections mattered more than simply living with someone.

Summary

1 Study Aim

The authors conducted a meta-analytic review (a statistical combination of results from many studies) to estimate how social relationships affect mortality (death risk). They examined whether relationship structure, support, or perceived connection best predicted survival. The study also tested whether age, sex, health, cause of death, or follow-up time changed the association. The researchers asked how strongly social relationships relate to survival and which kinds of relationships matter most.

2 Study Design

The researchers combined 148 prospective studies (studies that follow people over time) involving 308,849 participants. Participants averaged 63.9 years old, and follow-up lasted 7.5 years on average. The studies measured social networks, social integration, received or perceived support, loneliness, marital status, and living arrangements. They excluded suicide, injury, nonhuman support, and outcomes combining illness with death. Four raters independently coded study information. The authors converted results into comparable effect sizes (numbers showing the strength of an association) and used random-effects models (analyses allowing results to differ across studies). The researchers combined long-term studies to compare relationship strength with later survival.

3 Findings

The authors found that stronger social relationships were linked with a 50% greater likelihood of survival. This odds ratio (a comparison of event chances) was 1.50, with a 95% confidence interval (a range showing statistical uncertainty) from 1.42 to 1.59. The association remained similar across age, sex, starting health, cause of death, and follow-up length. Complex measures of social integration (several forms of connection and participation) showed the strongest association, with an odds ratio of 1.91. Simply living alone showed the weakest association. The authors caution that these studies cannot prove causation. They recommend measuring social well-being more carefully and testing community-based approaches that strengthen naturally occurring relationships. Staying connected in several ways was linked with better survival, but stronger proof is needed before claiming connections directly cause longer lives.

Abstract

BACKGROUND: The quality and quantity of individuals' social relationships has been linked not only to mental health but also to both morbidity and mortality. OBJECTIVES: This meta-analytic review was conducted to determine the extent to which social relationships influence risk for mortality, which aspects of social relationships are most highly predictive, and which factors may moderate the risk. DATA EXTRACTION: Data were extracted on several participant characteristics, including cause of mortality, initial health status, and pre-existing health conditions, as well as on study characteristics, including length of follow-up and type of assessment of social relationships. RESULTS: Across 148 studies (308,849 participants), the random effects weighted average effect size was OR = 1.50 (95% CI 1.42 to 1.59), indicating a 50% increased likelihood of survival for participants with stronger social relationships. This finding remained consistent across age, sex, initial health status, cause of death, and follow-up period. Significant differences were found across the type of social measurement evaluated (p<0.001); the association was strongest for complex measures of social integration (OR = 1.91; 95% CI 1.63 to 2.23) and lowest for binary indicators of residential status (living alone versus with others) (OR = 1.19; 95% CI 0.99 to 1.44). CONCLUSIONS: The influence of social relationships on risk for mortality is comparable with well-established risk factors for mortality. Please see later in the article for the Editors' Summary.

Referenced In