Affiliations 

  • 1 Primary Care Research Initiative And Methods Education Department (PRIMED), Seremban Primary Health Care Clinic, Jalan Rasah, 70300 Seremban, Malaysia. Electronic address: yogarabin@gmail.com
  • 2 Primary Care Research Initiative And Methods Education Department (PRIMED), Seremban Primary Health Care Clinic, Jalan Rasah, 70300 Seremban, Malaysia
  • 3 Non-Communicable Disease Department, Seremban Primary Health Care Clinic, Jalan Rasah, 70300 Seremban, Malaysia
Clin Nutr ESPEN, 2016 Dec;16:42-47.
PMID: 28531454 DOI: 10.1016/j.clnesp.2016.08.001

Abstract

BACKGROUND AND AIMS: Researchers suggest that the rise in obesity rates may be explained by the addictive properties of certain types of food. In view of the growing obesity epidemic in South-East Asia, there is a need for a psychometric tool to assess the concept of food addiction amongst high-risk populations. The objective of this study is to translate the Yale Food Addiction Scale (YFAS) into the Malay language and subsequently validate its use in an obese population.

METHODS: Between the year 2014 and 2015, a total of 250 obese adults were assessed for food addiction utilizing the Malay version of the YFAS at a primary care clinic. An assessment of the psychometric properties of the scale was performed to determine the factor structure, item statistics and internal consistency of the scale.

RESULTS: A one factorial structure of YFAS was confirmed in this study through factor analysis. All items except 4 (items 19, 22, 24 and 25) had factor loadings >0.42. The internal reliability (KR-20) coefficient of the one-factor solution was α = 0.76. The mean YFAS symptom count was M = 2.74 (SD = 1.57) with 10.4% (N = 26) of the participants received the diagnosis of food addiction.

CONCLUSIONS: The determination of construct validity and the identification of other latent variables in the Malay food addiction model is necessary prior to the formal utilization of the scale as a tool to detect addictive eating patterns in the community.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.