Understanding CAM Use in Lebanon: Findings from a National Survey

Author:

Kharroubi Samer1,Chehab Rana F.2,El-Baba Chirine1,Alameddine Mohamad34ORCID,Naja Farah1ORCID

Affiliation:

1. Department of Nutrition and Food Sciences, American University of Beirut, Riad El-Solh, Beirut 1107 2020, Lebanon

2. Department of Nutrition Science, Purdue University, West Lafayette, IN, USA

3. Mohammed Bin Rashid University of Medicine and Health Sciences, Building 14, Dubai Healthcare City, 505055 Dubai, UAE

4. Department of Health Management and Policy, Faculty of Health Sciences, American University of Beirut, Riad El-Solh, Beirut 1107 2020, Lebanon

Abstract

The main objective of this study was to identify predictors of Complementary and Alternative Medicine (CAM) use in Lebanon. Data for this study were drawn from a national survey conducted among Lebanese adults (n=1500). A modified version of the Social Behavioral Model (SBM) was used to understand CAM use in the study population. In this version, predisposing factors included sociodemographic characteristics (age, gender, education, and employment) and Push and Pull factors. Additionally, enabling resources included income, and medical need encompassed presence of chronic disease and perceived health status. Simple and multiple logistic regressions were used to examine the predictors of CAM use in the study population. Results of the multiple logistic regression showed that younger and older adults were less likely to use CAM as compared to middle-aged respondents. The Push factor “dissatisfaction with conventional medicine” was associated with higher odds of CAM use. For three of the six Pull factors, compared to participants who strongly disagreed, those who had a tendency of taking care of one’s health were more likely to use CAM. Income and presence of chronic disease were also associated with higher odds of CAM use. The findings of this study affirmed the utility of the SBM in explaining the use of CAM and proposed a new version of this model, whereby the Push and Pull factors are integrated within the predisposing factors of this model.

Funder

Lebanese National Council for Scientific Research

Publisher

Hindawi Limited

Subject

Complementary and alternative medicine

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