A hypothesized need to form and maintain strong, stable interpersonal relationships is evaluated in light of the empirical literature. The need is for frequent, nonaversive interactions within an ongoing relational bond. Consistent with the belongingness hypothesis, people form social attachments readily under most conditions and resist the dissolution of existing bonds. Belongingness appears to have multiple and strong effects on emotional patterns and on cognitive processes. Lack of attachments is linked to a variety of ill effects on health, adjustment, and well-being. Other evidence, such as that concerning satiation, substitution, and behavioral consequences, is likewise consistent with the hypothesized motivation. Several seeming counterexamples turned out not to disconfirm the hypothesis. Existing evidence supports the hypothesis that the need to belong is a powerful, fundamental, and extremely pervasive motivation.

The need to belong: Desire for interpersonal attachments as a fundamental human motivation.

Examines whether the positive association between social support and well-being is attributable more to an overall beneficial effect of support (main- or direct-effect model) or to a process of support protecting persons from potentially adverse effects of stressful events (buffering model). The review of studies is organized according to (1) whether a measure assesses support structure (the existence of relationships) or function (the extent to which one's interpersonal relationships provide particular resources) and (2) the degree of specificity (vs globality) of the scale. Special attention is given to methodological characteristics that are requisite for a fair comparison of the models. It is concluded that there is evidence consistent with both models. Evidence for the buffering model is found when the social support measure assesses the perceived availability of interpersonal resources that are responsive to the needs elicited by stressful events. Evidence for a main effect model is found when the support measure assesses a person's degree of integration in a large social network. Both conceptualizations of social support are correct in some respects, but each represents a different process through which social support may affect well-being. Implications for theories of social support processes and for the design of preventive interventions are discussed.

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Stress, social support, and the buffering hypothesis.

Attachment--and loss.

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

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Social Relationships and Mortality Risk: A Meta-analytic Review

The goals of this article are to (a) describe differences between moderator and mediator effects; (b) provide nontechnical descriptions of how to examine each type of effect, including study design, analysis, and interpretation of results; (c) demonstrate how to analyze each type of effect; and (d) provide suggestions for further reading. The authors focus on the use of multiple regression because it is an accessible data-analytic technique contained in major statistical packages. When appropriate, they also note limitations of using regression to detect moderator and mediator effects and describe alternative procedures, particularly structural equation modeling. Finally, to illustrate areas of confusion in counseling psychology research, they review research testing moderation and mediation that was published in the Journal of Counseling Psychology during 2001.

Testing Moderator and Mediator Effects in Counseling Psychology Research.

Social support theory and measurement.

Perceived support is consistently linked to good mental health, which is typically explained as resulting from objectively supportive actions that buffer stress. Yet this explanation has difficulty accounting for the often-observed main effects between support and mental health. Relational regulation theory (RRT) hypothesizes that main effects occur when people regulate their affect, thought, and action through ordinary yet affectively consequential conversations and shared activities, rather than through conversations about how to cope with stress. This regulation is primarily relational in that the types of people and social interactions that regulate recipients are mostly a matter of personal taste. RRT operationally defines relationships quantitatively, permitting the clean distinction between relationships and recipient personality. RRT makes a number of new predictions about social support, including new approaches to intervention.

Relational regulation theory: a new approach to explain the link between perceived social support and mental health.

Les auteurs rapportent deux etudes dans lesquelles ils essaient de montrer que le soutien social percu fonctionne en partie comme un construit cognitif de personnalite

Cognitive processes in perceived social support.

The study investigated the effects of locus of control beliefs as an individual difference variable on (a) the relationship between negative life events and psychological disorder, (b) perceptions of control over negative life events, and (c) the receipt and impact of social support. Ninety-three college undergraduates (52 internals, 41 externals) reported the negative events which occurred to them in the past year, their perceived control over these events, the amount of socially supportive transactions they received, and their psychological symptomatology (anxiety and depression). The correlation between negative events and anxiety was greater for externals than for internals. However, locus of control did not effect ratings of control over negative events or the correlations between high and low control negative events and psychological disorder. Locus of control did effect the receipt and impact of social support. Externality was positively related to the quantity of support received (r(90) = .21, p less than .05) but the stress-buffering effect of support was obtained for internals and not externals. Implications of the results from understanding the process by which locus of control moderates the effects of stress are discussed.

Locus of control as a stress moderator: The role of control perceptions and social support

Two studies investigated the relations among negative social interactions, perceived and enacted support, cognition about the self and others, and psychological distress through the use of a new measure of negative interactions Although both negative social interactions and perceived support were consistent predictors of psychological distress, negative interactions were weakly or unrelated to perceived and enacted support Further, factor analyses revealed that negative social interactions loaded on a negative affectivity factor, whereas enacted and perceived support loaded with positive affectivity, suggesting that positive affectivity may play an important role in social support processes

Brian Lakey

Papers

Social support theory and measurement.

Relational regulation theory: a new approach to explain the link between perceived social support and mental health.

Cognitive processes in perceived social support.

Locus of control as a stress moderator: The role of control perceptions and social support

Negative Social Interactions: Assessment and Relations to Social Support, Cognition, and Psychological Distress