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Eur J Public Health ; 29(4): 655-660, 2019 08 01.
Article in English | MEDLINE | ID: mdl-30851104

ABSTRACT

BACKGROUND: Complementary and alternative medicine (CAM) is oftenused to alleviate the discomfort, disability and pain involved in many chronic diseases. Besides this, females, middle-aged and higher educated people are also known to use CAM the most. This study explores whether the sociodemographic characteristics associated with CAM use differ by type of disease. METHODS: The following data were taken from the Belgian Health Interview Survey 2013 for the individuals aged 15+ years (n = 8942): sociodemographic characteristics, past 12-month diseases (using a list) and contact with a homeopath, chiropractor, acupuncturist and/or osteopath (CAM-therapists) in the past year. The association between CAM use and disease, controlled for gender, age, education and conventional medicine use, was assessed through logistic regressions. When interactions with the sociodemographic characteristics were found, stratified regressions were conducted. RESULTS: People with musculoskeletal diseases [odds ratio (OR) = 2.6], allergy (OR = 1.4) and severe headache (OR = 1.5) had higher odds of using CAM in the past year with statistical significance. For musculoskeletal diseases, the odds of using CAM was higher, with statistical significance, for every sociodemographic subclass. For allergy, CAM use was higher among men, people aged 45+ years and lower educated people, while for severe headache CAM use was higher among women, people aged 45+ years and higher educated people, all with statistical significance. CONCLUSIONS: Sociodemographic characteristics associated with CAM use differ by diseases. The role of CAM in disease management cannot be ignored. Making physicians aware for which disease CAM is used and by whom, may facilitate disease management.


Subject(s)
Chronic Disease/therapy , Chronic Pain/therapy , Complementary Therapies/methods , Complementary Therapies/statistics & numerical data , Health Surveys , Patient Acceptance of Health Care/statistics & numerical data , Adolescent , Adult , Age Factors , Aged , Aged, 80 and over , Belgium , Cross-Sectional Studies , Female , Humans , Logistic Models , Male , Middle Aged , Sex Factors , Socioeconomic Factors , Surveys and Questionnaires , Young Adult
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