Associations between self-conscious emotions and need for self-management support in people with COPD

Stigma is an unmet public health priority in chronic obstructive pulmonary disease (COPD) for which novel strategies are warranted.1 Stigma can generate negative self-conscious emotions, which are important to assess to develop tailored interventions. The aim was to investigate associations between self-conscious emotions and need for self-management support in people with COPD. People with COPD were recruited in primary care, specialty care, and through advertisement. In total, 136 individuals (68% women, mean age 73 years, 78% moderate to severe COPD) were included in the analysis. Associations between the subscales in the Self-Conscious Emotions in COPD Questionnaire and the Self-Management Assessment Scale (SMASc) were analyzed using Pearson’s correlation coefficient. Emotions related to The burden of living with a disability had a moderate association with a need for support for Emotional adjustment (r=0.449, p<0.001), while the association with the other SMASc subscales were significant, but small (r=0.181-0.286). Emotions related to The desire to hide vulnerability had small associations with need for Social support (r=0.189, p=0.032), support of Goals for the future (r=0.178, p=0.041), and Emotional adjustment (r=0.177, p=0.044). In conclusion, our findings indicate a moderate correlation between the burden of disease and the need for emotional self-management support. This suggests a path for future research into the role of stigma in COPD. Reference: 1. Mathioudakis AG, et al. Stigma: An unmet public health priority in copd. Lancet Respir Med. 2021;9(9):955-6.

Authors

Institutions

Publication Details

Published
2024-09-14
DOI
https://doi.org/10.1183/13993003.congress-2024.pa3242
Primary Topic
Health and Well-being Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Associations between self-conscious emotions and need for self-management support in people with COPD

Anders Blomberg, Sara Lundell, Senada Hajdarević, Anna‐Britt Coe
Health and Well-being Studies
article

Associations between self-conscious emotions and need for self-management support in people with COPD

Anders Blomberg, Sara Lundell, Senada Hajdarević, Anna‐Britt Coe
article en

Abstract

Stigma is an unmet public health priority in chronic obstructive pulmonary disease (COPD) for which novel strategies are warranted.1 Stigma can generate negative self-conscious emotions, which are important to assess to develop tailored interventions. The aim was to investigate associations between self-conscious emotions and need for self-management support in people with COPD. People with COPD were recruited in primary care, specialty care, and through advertisement. In total, 136 individuals (68% women, mean age 73 years, 78% moderate to severe COPD) were included in the analysis. Associations between the subscales in the Self-Conscious Emotions in COPD Questionnaire and the Self-Management Assessment Scale (SMASc) were analyzed using Pearson’s correlation coefficient. Emotions related to The burden of living with a disability had a moderate association with a need for support for Emotional adjustment (r=0.449, p<0.001), while the association with the other SMASc subscales were significant, but small (r=0.181-0.286). Emotions related to The desire to hide vulnerability had small associations with need for Social support (r=0.189, p=0.032), support of Goals for the future (r=0.178, p=0.041), and Emotional adjustment (r=0.177, p=0.044). In conclusion, our findings indicate a moderate correlation between the burden of disease and the need for emotional self-management support. This suggests a path for future research into the role of stigma in COPD. Reference: 1. Mathioudakis AG, et al. Stigma: An unmet public health priority in copd. Lancet Respir Med. 2021;9(9):955-6.

Umeå University (SE)
Openalex Percentile: Top 72%
Health and Well-being Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.