PSYC1005 Chap.3 Relationships and Social Connection
Relationships and Social Connection
Relationships are the R in PERMA and the subject of the week’s scientific paper, a meta-analysis of 148 studies with more than 300,000 participants linking social relationships to survival. This chapter explains what the pooled odds ratio of 1.50 means, why complex measures of social integration predicted survival most strongly and living alone least, and how structural and functional measures differ.
It sets out the stress-buffering and main-effects accounts of how relationships protect health, connects the findings to other weeks, and prepares the Random Acts of Kindness reflection.
What this chapter covers
- 01
Relationships as a mortality risk factor
- 02
Reading an odds ratio and its interval
- 03
Structural and functional measures
- 04
Stress buffering and main effects
- 05
Comparison with smoking and inactivity
- 06
The Random Acts of Kindness task
Worked example · free
Sorting measures onto the relationships map
- 1Marital status and number of close friends describe the ties themselves, so they are structural measures.
- 1Perceived availability of help and loneliness describe what the ties provide or fail to provide, so they are functional measures.
- 1Functional support speaks most directly to stress buffering, while structural integration fits the main-effects route through norms, roles and purpose.
Key terms
- Odds ratio
- A ratio comparing the odds of an outcome, here survival, between two groups; 1 means no difference.
- Meta-analysis
- A study that statistically pools the results of many earlier studies of the same question.
- Structural support
- Measures of the existence and pattern of social ties, such as networks, integration and marital status.
- Functional support
- Measures of what relationships provide, such as received support, perceived support and loneliness.
- Main-effects model
- The account in which relationships protect health directly, through norms, roles and purpose, even without stress.
Relationships and Social Connection FAQ
How much do relationships affect mortality?
Across 148 studies with 308,849 participants, people with stronger social relationships had a 50% greater likelihood of survival, an odds ratio of 1.50. The authors conclude the effect is comparable with smoking and alcohol consumption and exceeds the influence of physical inactivity and obesity, while noting the studies show prediction rather than proof of cause.
Which measure of relationships predicted survival best?
Complex measures of social integration, which combine several aspects of a person’s ties, gave the largest odds ratio, 1.91. A single yes-or-no question about living alone gave the smallest, 1.19, with a confidence interval that included 1. The authors suggest the overall effect may be underestimated because many studies used such simple measures.
What is the difference between stress buffering and main effects?
The stress-buffering hypothesis says relationships help when stress arrives, by supplying informational, emotional or tangible resources. The main-effects model says relationships protect health regardless of stress, by encouraging healthy behaviour through social norms and giving people roles that supply self-esteem and purpose.
Do the studies prove that relationships cause longer life?
No. The meta-analysis pooled prospective studies, which show that relationships predict survival but cannot by themselves prove cause. The authors still argue the association is strong and consistent enough, across age, sex, health status and cause of death, that health professionals should treat social relationships as a risk factor.
Why might the overall effect be an underestimate?
Many of the pooled studies measured relationships with simple single items, such as whether a person lives alone or is married, and these predicted survival less strongly than complex measures of social integration. Because weaker measures pulled the average down, the authors suggest the true influence of relationships on mortality may be larger than 1.50.
Why are structural and functional measures only moderately related?
They capture different things. Structural measures describe the existence and pattern of ties, while functional measures describe what those ties provide, such as support or the absence of loneliness. Their correlations are typically about 0.20 to 0.30, so someone with many ties can still feel unsupported, and both kinds predicted survival.
Exam move
Memorise four numbers from the meta-analysis, 148 studies, 1.50, 1.91 and 1.19, and the interval rule that a range including 1 shows no reliable difference. Then sort a list of survey items into structural and functional, and practise matching short scenarios to buffering or main effects, because exam stems often describe a mechanism without naming it.
Add a final line on cause and correlation, since the strongest wrong options claim the meta-analysis proved that relationships cause longer life.
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