Literature DB >> 21913959

Predictors of complementary and alternative medicine use by people with type 2 diabetes.

Hsiao-Yun Annie Chang1, Marianne Wallis, Evelin Tiralongo.   

Abstract

AIMS: This paper is a report of a study into factors predicting complementary and alternative medicine use in people with type 2 diabetes.
BACKGROUND: The growing incidence of type 2 diabetes is emerging as a major health issue throughout the world. While the rate of complementary and alternative medicine use in this population is high, it is not clear what predicts its use, in this population.
METHODS: A cross-sectional survey, using a structured interview, was undertaken among people with type 2 diabetes attending diabetic clinics in three census regions in Taiwan, between July 2006 and February 2007. The survey instrument, derived from a review of Taiwanese and international literature, was developed using the Health Belief Model.
RESULTS: A total of 326 participants with type 2 diabetes were interviewed (87·4% response rate). In people with type 2 diabetes, complementary and alternative medicine use was associated with a history of its use, a positive attitude towards it, stronger health beliefs about diabetes and the efficacy of complementary and alternative medicine in treating diabetes, a higher degree of self-care activities by the individual and a longer duration of diabetes.
CONCLUSIONS: The results of this study indicate that complementary and alternative medicine use in people with type 2 diabetes is influenced by people's experience, beliefs, attitudes towards complementary and alternative medicine, and their behaviour towards disease management rather than their demographic characteristics. Nurses and healthcare professionals should consider the patient's background, health history, health beliefs and cultural background when planning specific strategies designed to modify lifestyle.
© 2011 The Authors. Journal of Advanced Nursing © 2011 Blackwell Publishing Ltd.

Entities:  

Mesh:

Year:  2011        PMID: 21913959     DOI: 10.1111/j.1365-2648.2011.05827.x

Source DB:  PubMed          Journal:  J Adv Nurs        ISSN: 0309-2402            Impact factor:   3.187


  6 in total

1.  The predictors of the use of complementary and alternative medicine among type 2 diabetes patients based on the health belief model.

Authors:  Hadi Tehrani; Niloufar Dadashi; Davood Movahedzadeh; Elham Charoghchian Khorasani; Alireza Jafari
Journal:  J Diabetes Metab Disord       Date:  2022-01-11

2.  Development and Validation of an Instrument for Measuring Attitudes and Beliefs about Complementary and Alternative Medicine (CAM) Use among Cancer Patients.

Authors:  Jun J Mao; Steve C Palmer; Krupali Desai; Susan Q Li; Katrina Armstrong; Sharon X Xie
Journal:  Evid Based Complement Alternat Med       Date:  2012-05-30       Impact factor: 2.629

3.  Disclosure of Traditional and Complementary Medicine Use and Its Associated Factors to Medical Doctor in Primary Care Clinics in Kuching Division, Sarawak, Malaysia.

Authors:  Anak Kelak Johny; Whye Lian Cheah; Safii Razitasham
Journal:  Evid Based Complement Alternat Med       Date:  2017-04-26       Impact factor: 2.629

4.  A hospital-based study on complementary and alternative medicine use among diabetes patients in Rajshahi, Bangladesh.

Authors:  Md Abdur Rafi; Dewan Tasnia Azad; Mridula Bhattacharjee; Nikita Rahman; Kazi Abdul Mubin; Md Ajijur Rahman; Md Golam Hossain
Journal:  BMC Complement Med Ther       Date:  2020-07-13

5.  Investigation of attitude, awareness, belief, and practice of complementary and alternative medicine among type 2 diabetic patients: a cross sectional study.

Authors:  Alireza Jafari; Davood Movahedzadeh; Fatemeh Ramezani Barsalani; Hadi Tehrani
Journal:  J Diabetes Metab Disord       Date:  2021-02-22

6.  Exploring the decision to disclose the use of natural products among outpatients: a mixed-method study.

Authors:  Hsiao-Yun Chang; Huai-Lu Chang; Betty Siren
Journal:  BMC Complement Altern Med       Date:  2013-11-18       Impact factor: 3.659

  6 in total

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