OBJECTIVES: In many countries, recent data on the use of complementary and alternative medicine (CAM) are available. However, in England, there is a paucity of such data. We sought to determine the prevalence and predictors of CAM use in England. DESIGN: Data were obtained from the Health Survey for England 2005, a national household survey that included questions on CAM use. We used binary logistic regression modelling to explore whether demographic, health and lifestyle factors predict CAM use. RESULTS: Data were available for 7630 respondents (household response rate 71%). Lifetime and 12-month prevalence of CAM use were 44.0% and 26.3% respectively; 12.1% had consulted a practitioner in the preceding 12 months. Massage, aromatherapy and acupuncture were the most commonly used therapies. Twenty-nine percent of respondents taking prescription drugs had used CAM in the last 12 months. Women (OR 0.491, 95% CI: 0.419, 0.577), university educated respondents (OR 1.296, 95% CI: 1.088, 1.544), those suffering from anxiety or depression (OR 1.341, 95% CI: 1.074, 1.674), people with poorer mental health (on GHQ: OR 1.062, 95% CI 1.026, 1.100) and lower levels of perceived social support (1.047, 95% CI: 1.008, 1.088), people consuming ≥ 5 portions of fruit and vegetables a day (OR 1.327, 95% CI: 1.124, 1.567) were significantly more likely to use CAM. CONCLUSION: Complementary and alternative medicine use in England remains substantial, even amongst those taking prescription drugs. These data serve as a valuable reminder to medical practitioners to ask patients about CAM use and should be routinely collected to facilitate prioritisation of the research agenda in CAM.
OBJECTIVES: In many countries, recent data on the use of complementary and alternative medicine (CAM) are available. However, in England, there is a paucity of such data. We sought to determine the prevalence and predictors of CAM use in England. DESIGN: Data were obtained from the Health Survey for England 2005, a national household survey that included questions on CAM use. We used binary logistic regression modelling to explore whether demographic, health and lifestyle factors predict CAM use. RESULTS: Data were available for 7630 respondents (household response rate 71%). Lifetime and 12-month prevalence of CAM use were 44.0% and 26.3% respectively; 12.1% had consulted a practitioner in the preceding 12 months. Massage, aromatherapy and acupuncture were the most commonly used therapies. Twenty-nine percent of respondents taking prescription drugs had used CAM in the last 12 months. Women (OR 0.491, 95% CI: 0.419, 0.577), university educated respondents (OR 1.296, 95% CI: 1.088, 1.544), those suffering from anxiety or depression (OR 1.341, 95% CI: 1.074, 1.674), people with poorer mental health (on GHQ: OR 1.062, 95% CI 1.026, 1.100) and lower levels of perceived social support (1.047, 95% CI: 1.008, 1.088), people consuming ≥ 5 portions of fruit and vegetables a day (OR 1.327, 95% CI: 1.124, 1.567) were significantly more likely to use CAM. CONCLUSION: Complementary and alternative medicine use in England remains substantial, even amongst those taking prescription drugs. These data serve as a valuable reminder to medical practitioners to ask patients about CAM use and should be routinely collected to facilitate prioritisation of the research agenda in CAM.
Authors: P de Jonge; K J Wardenaar; H R Hoenders; S Evans-Lacko; V Kovess-Masfety; S Aguilar-Gaxiola; A Al-Hamzawi; J Alonso; L H Andrade; C Benjet; E J Bromet; R Bruffaerts; B Bunting; J M Caldas-de-Almeida; R V Dinolova; S Florescu; G de Girolamo; O Gureje; J M Haro; C Hu; Y Huang; E G Karam; G Karam; S Lee; J-P Lépine; D Levinson; V Makanjuola; F Navarro-Mateu; B-E Pennell; J Posada-Villa; K Scott; H Tachimori; D Williams; B Wojtyniak; R C Kessler; G Thornicroft Journal: Epidemiol Psychiatr Sci Date: 2017-12-28 Impact factor: 6.892
Authors: Mohd Tayyab; Shirin Farheen; Mubeena Mariyath P M; Nabeela Khanam; M Mobarak Hossain; Mehdi Hayat Shahi Journal: Neuromolecular Med Date: 2019-04-29 Impact factor: 3.843
Authors: A Loraschi; P Bellantonio; F Bortolon; R Capra; P Cavalla; G Costantino; A Lugaresi; V Martinelli; M G Marrosu; F Patti; M Rottoli; M Salvetti; P Sola; C Solaro; C Klersy; F Marino; M Zaffaroni; M Cosentino Journal: Neurol Sci Date: 2016-02-19 Impact factor: 3.307