Clustering of Social and Physical Pain Variables and Their Association With Mortality in Two Population-Based Cohorts.
Journal
Psychosomatic medicine
ISSN: 1534-7796
Titre abrégé: Psychosom Med
Pays: United States
ID NLM: 0376505
Informations de publication
Date de publication:
01 04 2021
01 04 2021
Historique:
entrez:
1
4
2021
pubmed:
2
4
2021
medline:
5
10
2021
Statut:
ppublish
Résumé
Social pain and physical pain are related bidirectionally, but how these variables cluster in the population is unknown. 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. 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. 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.
Identifiants
pubmed: 33793454
doi: 10.1097/PSY.0000000000000910
pii: 00006842-202104000-00005
pmc: PMC8023720
mid: NIHMS1662322
doi:
Types de publication
Journal Article
Meta-Analysis
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
228-238Subventions
Organisme : NCI NIH HHS
ID : U01 CA195565
Pays : United States
Organisme : NIA NIH HHS
ID : U01 AG012554
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA253028
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA105274
Pays : United States
Organisme : NCI NIH HHS
ID : K07 CA187403
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA230440
Pays : United States
Organisme : NIA NIH HHS
ID : U01 AG012505
Pays : United States
Organisme : NIA NIH HHS
ID : U01 AG012531
Pays : United States
Organisme : NIA NIH HHS
ID : U01 AG012535
Pays : United States
Organisme : NIA NIH HHS
ID : U01 AG012553
Pays : United States
Organisme : NINR NIH HHS
ID : U01 NR004061
Pays : United States
Organisme : NIA NIH HHS
ID : U01 AG012539
Pays : United States
Organisme : NIA NIH HHS
ID : U01 AG012546
Pays : United States
Organisme : NIA NIH HHS
ID : U19 AG063720
Pays : United States
Organisme : NIA NIH HHS
ID : U01 AG012495
Pays : United States
Informations de copyright
Copyright © 2021 by the American Psychosomatic Society.
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