OBJECTIVE: Social pain and physical pain are related bidirectionally, but how these variables cluster in the population is unknown. METHODS: This study included 2833 women from the Study of Women's Health Across the Nation (SWAN), a community-based cohort of middle-aged women, and 3972 women from the Pathways Study, a population-based cohort of women diagnosed with American Joint Committee on Cancer stages I-IV breast cancer diagnosed between 2005 and 2013. Women provided data on measures related to social pain (social network size, social support, loneliness, social well-being) and physical pain (sensitivity to pain, bodily pain) at study baseline. Analyzing each cohort separately, we used latent class analysis to evaluate social-physical pain clusters, logistic regression to evaluate predictors of categorization into clusters, and Cox proportional hazards models to evaluate associations of clusters with all-cause mortality. We also performed a meta-analysis to combine cohort mortality associations. RESULTS: Each cluster analysis produced a "low social-physical pain" cluster (SWAN, 48.6%; Pathways, 35.2%) characterized by low social and pain symptoms, a "high social-physical pain" cluster (SWAN, 17.9%; Pathways, 17.9%) characterized by high symptoms, and a "low social/high physical pain" cluster of women with high pain and compromised social functioning but otherwise low social symptoms (SWAN, 33.5%; Pathways, 46.9%). In meta-analysis, categorization into the high social-physical pain cluster was associated with elevated mortality (adjusted hazard ratio = 1.34, 95% confidence interval = 1.05-1.71, Q statistic = 0.782), compared with those in the low social-physical pain cluster. CONCLUSIONS: In two cohorts of women, latent class analysis produced similar sets of social-physical pain clusters, with the same proportion having both high social and pain symptoms; women in this cluster had elevated mortality.
OBJECTIVE: Social pain and physical pain are related bidirectionally, but how these variables cluster in the population is unknown. METHODS: This study included 2833 women from the Study of Women's Health Across the Nation (SWAN), a community-based cohort of middle-aged women, and 3972 women from the Pathways Study, a population-based cohort of women diagnosed with American Joint Committee on Cancer stages I-IV breast cancer diagnosed between 2005 and 2013. Women provided data on measures related to social pain (social network size, social support, loneliness, social well-being) and physical pain (sensitivity to pain, bodily pain) at study baseline. Analyzing each cohort separately, we used latent class analysis to evaluate social-physical pain clusters, logistic regression to evaluate predictors of categorization into clusters, and Cox proportional hazards models to evaluate associations of clusters with all-cause mortality. We also performed a meta-analysis to combine cohort mortality associations. RESULTS: Each cluster analysis produced a "low social-physical pain" cluster (SWAN, 48.6%; Pathways, 35.2%) characterized by low social and pain symptoms, a "high social-physical pain" cluster (SWAN, 17.9%; Pathways, 17.9%) characterized by high symptoms, and a "low social/high physical pain" cluster of women with high pain and compromised social functioning but otherwise low social symptoms (SWAN, 33.5%; Pathways, 46.9%). In meta-analysis, categorization into the high social-physical pain cluster was associated with elevated mortality (adjusted hazard ratio = 1.34, 95% confidence interval = 1.05-1.71, Q statistic = 0.782), compared with those in the low social-physical pain cluster. CONCLUSIONS: In two cohorts of women, latent class analysis produced similar sets of social-physical pain clusters, with the same proportion having both high social and pain symptoms; women in this cluster had elevated mortality.
Authors: B E Ainsworth; W L Haskell; M C Whitt; M L Irwin; A M Swartz; S J Strath; W L O'Brien; D R Bassett; K H Schmitz; P O Emplaincourt; D R Jacobs; A S Leon Journal: Med Sci Sports Exerc Date: 2000-09 Impact factor: 5.411
Authors: L K Staten; D L Taren; W H Howell; M Tobar; E T Poehlman; A Hill; P M Reid; C Ritenbaugh Journal: Med Sci Sports Exerc Date: 2001-11 Impact factor: 5.411
Authors: D T Hsu; B J Sanford; K K Meyers; T M Love; K E Hazlett; H Wang; L Ni; S J Walker; B J Mickey; S T Korycinski; R A Koeppe; J K Crocker; S A Langenecker; J-K Zubieta Journal: Mol Psychiatry Date: 2013-08-20 Impact factor: 15.992
Authors: Lorraine S Wallace; Randell K Wexler; Leon McDougle; W Frederick Miser; J David Haddox Journal: J Pain Res Date: 2014-06-03 Impact factor: 3.133