Herbal medicines: prevalence and predictors of use among Malaysian adults.
OBJECTIVE
The aim of this study was to examine the prevalence and identify factors, which predict the use of herbal medicines among Malaysian adults.


METHODS
Using a cross-sectional design, data were collected via face-to-face interview using structured questionnaire from convenience sample of adults from four towns in Malaysia. Multivariate logistic regression analysis was used to identify the significant predictors of herbal medicines use.


RESULTS
From a total of 1601 respondents, 542 (33.9%) reported use of herbal medicines in the previous 12 months. Multivariate logistic regression analysis revealed the following variables to be predictive of herbal medicines use: female gender [odds ratio (OR) 1.80, confidence interval (CI) 1.40-2.31], being married [OR 1.97, CI 1.44-2.71], having health problems [OR 2.31, CI 1.74-3.07] and having high-income levels [OR 4.21, CI 1.72-10.30]. The odds of someone using herbal medicines also increases though slightly if someone has favorable opinions about herbal medicines on the aspects examined. On the other hand, being Chinese [OR 0.74, CI 0.57-0.96] and Indians [OR 0.17, CI 0.11-0.27] were associated with decreased odds of using herbal medicines compared to Malays.


CONCLUSIONS
The prevalence of herbal medicines use is high. Respondents' personal attributes and opinions influence their likelihood of using herbal medicines. These findings are important because knowledge of the predictors of herbal medicines use may help health care providers to identify patients at increased risk who would be candidates for receiving guidance on safe use of herbal medicines.
Aziz
Z
Z
Department of Pharmacy, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia. zoriah@um.edu.my
Tey
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D000328:Adult; D005260:Female; D019538:Health Care Surveys; D029001:Herbal Medicine / Q000706:statistics & numerical data*; D006801:Humans; D016015:Logistic Models; D008296:Malaysia; D008297:Male; D008519:Medicine, Traditional; D015999:Multivariate Analysis; D016017:Odds Ratio; D017060:Patient Satisfaction; D008517:Phytotherapy / Q000706:statistics & numerical data* / Q000639:trends; D012959:Socioeconomic Factors