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了解黎巴嫩的补充替代医学使用情况:一项全国性调查的结果

Understanding CAM Use in Lebanon: Findings from a National Survey.

作者信息

Kharroubi Samer, Chehab Rana F, El-Baba Chirine, Alameddine Mohamad, Naja Farah

机构信息

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

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

出版信息

Evid Based Complement Alternat Med. 2018 Jul 25;2018:4169159. doi: 10.1155/2018/4169159. eCollection 2018.

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 and 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 factor "dissatisfaction with conventional medicine" was associated with higher odds of CAM use. For three of the six 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 and factors are integrated within the predisposing factors of this model.

摘要

本研究的主要目的是确定黎巴嫩使用补充和替代医学(CAM)的预测因素。本研究的数据来自对黎巴嫩成年人(n = 1500)进行的一项全国性调查。使用社会行为模型(SBM)的一个修改版本来了解研究人群中CAM的使用情况。在这个版本中, predisposing因素包括社会人口学特征(年龄、性别、教育程度和就业情况)以及其他因素。此外,促成资源包括收入,医疗需求包括慢性病的存在和感知健康状况。使用简单和多元逻辑回归来检验研究人群中CAM使用的预测因素。多元逻辑回归的结果表明,与中年受访者相比,年轻人和老年人使用CAM的可能性较小。“对传统医学不满意”这一因素与使用CAM的较高几率相关。在六个因素中的三个方面,与强烈不同意的参与者相比,有照顾自身健康倾向的参与者更有可能使用CAM。收入和慢性病的存在也与使用CAM的较高几率相关。本研究的结果证实了SBM在解释CAM使用方面的效用,并提出了该模型的一个新版本,其中这些因素被整合到该模型的predisposing因素中。

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