Publication Details

AFRICAN RESEARCH NEXUS

SHINING A SPOTLIGHT ON AFRICAN RESEARCH

arts and humanities

Diversity of attitudes towards complementary and alternative medicine (CAM) and vaccines: A representative cross-sectional study in France

Social Science and Medicine, Volume 328, Article 115952, Year 2023

How much does endorsement of complementary and alternative medicine (CAM) correlate with negative attitudes towards vaccines? One of the difficulties of analysing the relationship between attitudes to CAM and attitudes towards vaccines rests in the complexity of both. Which form of CAM endorsement is associated with what type of reticence towards vaccines? While the literature on the relationship between CAM and attitudes towards vaccines is growing, this question has not yet been explored. In this study we present the results of a survey conducted in July 2021 among a representative sample of the French mainland adult population (n = 3087). Using cluster analysis, we identified five profiles of CAM attitudes and found that even among the most pro-CAM group, very few respondents disagreed with the idea that CAM should only be used as a complement to conventional medicine. We then compared these CAM attitudes to vaccine attitudes. Attitudes to CAM had a distinct impact as well as a combined effect on attitudes to different vaccines and vaccines in general. However, we also found a) that attitudes to CAM provide a very limited explanation of vaccine hesitancy and b) that, among the hesitant, pro-CAM attitudes are often combined with other traits associated with vaccine hesitancy such as distrust of health agencies, radical political preferences and low income. Indeed, we found that both CAM endorsement and vaccine hesitancy are more prevalent among the socially disadvantaged. Drawing on these results, we argue that, to better understand the relationship between CAM and vaccine hesitancy, it is necessary to look at how both can reflect lack of access and recourse to mainstream medicine and distrust of public institutions.
Statistics
Citations: 5
Authors: 5
Affiliations: 5
Identifiers
Research Areas
Health System And Policy
Study Design
Cross Sectional Study
Study Approach
Quantitative