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Predictors of the use and approval of CAM: results from the German General Social Survey (ALLBUS)

BACKGROUND: Many studies have shown that sociodemographic variables significantly predict the use of complementary and alternative medicine (CAM), although these predictions were not particularly strong. A multitude of predictors of the use or approval of CAM have been investigated in the field of p...

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Autores principales: Abheiden, Henrik, Teut, Michael, Berghöfer, Anne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7291752/
https://www.ncbi.nlm.nih.gov/pubmed/32527256
http://dx.doi.org/10.1186/s12906-020-02966-9
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author Abheiden, Henrik
Teut, Michael
Berghöfer, Anne
author_facet Abheiden, Henrik
Teut, Michael
Berghöfer, Anne
author_sort Abheiden, Henrik
collection PubMed
description BACKGROUND: Many studies have shown that sociodemographic variables significantly predict the use of complementary and alternative medicine (CAM), although these predictions were not particularly strong. A multitude of predictors of the use or approval of CAM have been investigated in the field of personal values and worldviews, but the effects were small or doubtful due to non-representative samples. More recent psychological research has linked positive attitudes towards CAM with intuitive thinking, paranormal beliefs, ontological confusions and magical health beliefs, suggesting a common thinking style behind all these variables. The aim of this study is to identify the most important predictors of the use and approval of CAM. METHODS: We performed a canonical correlation analysis on all 3480 records from the 2012 German General Social Survey (ALLBUS) with the lifetime use and opinion of CAM as the dependent variables. RESULTS: Approval of paranormal practices such as fortune-telling, dowsing or spiritualism explained 32% of the variance in the dependent canonical variate “approval of CAM”, while sociodemographic variables explained only 2%. Experience with paranormal practices explained 17% of the variance in the dependent canonical variate “experience with CAM”, and sociodemographic variables explained 10% of the variance. Traditional religiosity, attitudes towards science and post-materialist values showed no relevant correlations with the dependent canonical variates. CONCLUSIONS: Paranormal beliefs and related measures are the most important known predictors of the use and approval of CAM. Experience with paranormal practices not only indicates paranormal beliefs but also explains experience with CAM that cannot be explained by approval of CAM. Female gender and higher socioeconomic status predict experience with CAM without predicting approval of CAM, but their influence should not be overstated.
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spelling pubmed-72917522020-06-12 Predictors of the use and approval of CAM: results from the German General Social Survey (ALLBUS) Abheiden, Henrik Teut, Michael Berghöfer, Anne BMC Complement Med Ther Research Article BACKGROUND: Many studies have shown that sociodemographic variables significantly predict the use of complementary and alternative medicine (CAM), although these predictions were not particularly strong. A multitude of predictors of the use or approval of CAM have been investigated in the field of personal values and worldviews, but the effects were small or doubtful due to non-representative samples. More recent psychological research has linked positive attitudes towards CAM with intuitive thinking, paranormal beliefs, ontological confusions and magical health beliefs, suggesting a common thinking style behind all these variables. The aim of this study is to identify the most important predictors of the use and approval of CAM. METHODS: We performed a canonical correlation analysis on all 3480 records from the 2012 German General Social Survey (ALLBUS) with the lifetime use and opinion of CAM as the dependent variables. RESULTS: Approval of paranormal practices such as fortune-telling, dowsing or spiritualism explained 32% of the variance in the dependent canonical variate “approval of CAM”, while sociodemographic variables explained only 2%. Experience with paranormal practices explained 17% of the variance in the dependent canonical variate “experience with CAM”, and sociodemographic variables explained 10% of the variance. Traditional religiosity, attitudes towards science and post-materialist values showed no relevant correlations with the dependent canonical variates. CONCLUSIONS: Paranormal beliefs and related measures are the most important known predictors of the use and approval of CAM. Experience with paranormal practices not only indicates paranormal beliefs but also explains experience with CAM that cannot be explained by approval of CAM. Female gender and higher socioeconomic status predict experience with CAM without predicting approval of CAM, but their influence should not be overstated. BioMed Central 2020-06-11 /pmc/articles/PMC7291752/ /pubmed/32527256 http://dx.doi.org/10.1186/s12906-020-02966-9 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Abheiden, Henrik
Teut, Michael
Berghöfer, Anne
Predictors of the use and approval of CAM: results from the German General Social Survey (ALLBUS)
title Predictors of the use and approval of CAM: results from the German General Social Survey (ALLBUS)
title_full Predictors of the use and approval of CAM: results from the German General Social Survey (ALLBUS)
title_fullStr Predictors of the use and approval of CAM: results from the German General Social Survey (ALLBUS)
title_full_unstemmed Predictors of the use and approval of CAM: results from the German General Social Survey (ALLBUS)
title_short Predictors of the use and approval of CAM: results from the German General Social Survey (ALLBUS)
title_sort predictors of the use and approval of cam: results from the german general social survey (allbus)
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7291752/
https://www.ncbi.nlm.nih.gov/pubmed/32527256
http://dx.doi.org/10.1186/s12906-020-02966-9
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