Dataset Information

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

ABSTRACT:

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.

SUBMITTER: Abheiden H

PROVIDER: S-EPMC7291752 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature

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Publications

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

Abheiden Henrik H Teut Michael M Berghöfer Anne A

BMC complementary medicine and therapies 20200611 1

<h4>Background</h4>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 intuit ...[more]

PMID: 32527256

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Project description:BACKGROUND:Although patients in Germany are generally free to choose their primary healthcare provider, this role should mainly be assumed by general practitioners (GPs). While some predictors of the frequency of use of GP services have been reported in international studies, there is still a lack in knowledge what could deter people from contacting a GP in Germany. To improve healthcare, it is important to identify characteristics of people without a GP. METHODS:This cross-sectional analysis was based on the first wave of the "German Health Interview and Examination Survey for Adults" (DEGS1) conducted by the Robert Koch Institute in 2008-2011. Descriptive analyses and multiple logistic regression by gender were performed to analyze the association between having no GP and age, gender, residential area, socioeconomic status (SES), marital status, working hours per week, general state of health, chronic diseases and health insurance. RESULTS:Overall, 9.5% (95% confidence interval (CI): 8.4-10.7) of the 7755 participants stated to have no GP, more often men (11.4%) than women (7.6%). Life in urban areas (big cities vs. rural: adjusted odds ratio (aOR): 2.9, 95% CI: 2.1-3.9), younger age (18-29 years vs. 65-79 years: aOR: 4.4, 95% CI: 2.5-7.7) and the presence of chronic diseases (yes vs. no: aOR: 0.4, 95% CI: 0.3-0.6) showed significant associations of not having a GP. For men, the type of health insurance (private vs. statutory: aOR: 2.1, 95% CI: 1.5-3.0; other vs. statutory: aOR: 2.1, 95% CI: 1.4-3.1) and for women, SES (low vs. medium: aOR: 1.8, 95% CI: 1.2-2.7; high vs. medium: aOR: 2.1, 95% CI: 1.4-3.0) increased the risk of having no GP. CONCLUSIONS:Our analysis offers new insights into the use of GPs in Germany and revealed differences between men and women. Public health strategies regarding access to a GP have to focus on men and on women with a low SES. Further analyses are needed to determine whether men with private health insurance prefer to consult a specialist rather than a GP. For young adults, improving the transition process from a pediatrician to a GP could fill a gap in health care.

Dataset Information

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

Background

Methods

Results

Conclusions

Publications

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

Similar Datasets

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