The quality of spouses' social networks contributes to each other's cardiovascular risk
Bert N Uchino1, Timothy W Smith, McKenzie Carlisle
1Department of Psychology and Health Psychology Program, University of Utah, Salt Lake City, Utah, United States of America.
Insights
A partner's social network quality impacts cardiovascular risk. Supportive ties lower blood pressure, while negative or ambivalent ties increase it, affecting individual and couple cardiovascular health.
Area of Science:
- Social psychology
- Cardiovascular health
- Relationship science
Background:
- One's own social relationships are linked to cardiovascular risk.
- The influence of a partner's social network quality on cardiovascular health remains unclear.
Purpose of the Study:
- To investigate if a partner's social network quality affects an individual's ambulatory blood pressure (ABP).
Main Methods:
- Assessed social network quality (supportive, aversive, ambivalent ties) in 94 couples.
- Employed actor-partner analyses to distinguish individual and partner influences on ABP.
Main Results:
- Higher partner supportive ties correlated with lower individual ABP.
- Higher partner aversive and ambivalent ties correlated with higher individual ABP.
- Combined couple network quality was linked to higher ABP under specific low-supportive or high-aversive/ambivalent conditions.
Conclusions:
- Partner's social ties significantly influence individual cardiovascular risk.
- Social networks of close partners represent potential cardiovascular resources or strains.
Objectives:
Although the quality of one's own social relationships has been related to cardiovascular morbidity and mortality, whether a partner's social network quality can similarly influence one's cardiovascular risk is unknown. In this study we tested whether the quality of a partner's social networks influenced one's own ambulatory blood pressure (ABP).
Methods:
The quality of 94 couples' social networks was determined using a comprehensive model of relationships that separates out social ties that are sources of positivity(supportive), negativity (aversive), and both positivity and negativity (ambivalent). We then utilized statistical models (actor-partner analyses) that allowed us to separate out the links between one's own social network quality on ABP (actor influences), a partner's social network quality on ABP (partner influences), and a couple's network quality combined on ABP (actor X partner interactions).
Results:
Independent of one's own relationship quality, results showed that an individual's ABP was lower if their spouse had more supportive ties, and higher if a spouse had more aversive and ambivalent ties. In addition, couples' networks in combination were associated with higher ABP but only if both had a low number of supportive ties, or a high number of aversive or ambivalent ties.
Conclusions:
These data suggest that the social ties of those we have close relationships with may influence our cardiovascular risk and opens new opportunities to capitalize on untapped social resources or to mitigate hidden sources of social strain.
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