Mary Foong-Fong Chong1, M Na'im M Ayob2, Kok Joon Chong3, E-Shyong Tai4, Chin Meng Khoo3, Melvin Khee-Shing Leow5, Yung Seng Lee6, Kwang Wei Tham7, Kavita Venkataraman8, Michael J Meaney9, Hwee Lin Wee10, Eric Yin-Hao Khoo3. 1. Singapore Institute for Clinical Sciences, A*STAR, Singapore; Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Clinical Nutrition Research Centre, Singapore Institute for Clinical Sciences, A*STAR, Singapore. Electronic address: mary_chong@sics.a-star.edu.sg. 2. Singapore Institute for Clinical Sciences, A*STAR, Singapore. 3. Division of Endocrinology, Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore. 4. Division of Endocrinology, Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Saw Swee Hock School of Public Health, National University of Singapore, Singapore; Department of Pharmacy, Faculty of Science, National University of Singapore, Singapore. 5. Singapore Institute for Clinical Sciences, A*STAR, Singapore; Clinical Nutrition Research Centre, Singapore Institute for Clinical Sciences, A*STAR, Singapore; Department of Endocrinology, Tan Tock Seng Hospital, Singapore. 6. Singapore Institute for Clinical Sciences, A*STAR, Singapore; Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Clinical Nutrition Research Centre, Singapore Institute for Clinical Sciences, A*STAR, Singapore; Division of Paediatric Endocrinology and Diabetes, Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, Singapore. 7. Department of Endocrinology, Singapore General Hospital, Singapore; Obesity Unit, Singapore General Hospital, Singapore. 8. Saw Swee Hock School of Public Health, National University of Singapore, Singapore; Department of Obstetrics and Gynaecology, National University of Singapore, Singapore. 9. Singapore Institute for Clinical Sciences, A*STAR, Singapore; Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Montréal, Canada. 10. Saw Swee Hock School of Public Health, National University of Singapore, Singapore; Department of Pharmacy, Faculty of Science, National University of Singapore, Singapore.
Abstract
OBJECTIVES: Previous studies reveal that the Three-Factor Eating Questionnaire (TFEQ), which assesses eating behaviour, performs differently across population groups and cultures. We aimed to identify the factor structure that is most appropriate to capture eating behaviour in an overweight and obese Chinese population in Singapore. METHODS: TFEQ-51 was administered to 444 Chinese subjects pooled from four separate studies and scored according to various alternative versions of the TFEQ. Confirmatory factor analyses and goodness of fit indices were used to determine the most appropriate factor structure. Known-group validity analyses were conducted. RESULTS: Niemeier's Disinhibition Factors and the TFEQ-R18 factor structures were found to be the most applicable in our population based on goodness of fit indices, with a x(2)/df ratio of <3, RMSEA of ≤ 0.6 and a CFI value of >0.9 for both. Only two of three factors (Emotional Eating and Uncontrolled Eating) of the TFEQ-R18 showed good internal consistency, while none of Niemeier's Disinhibition Factors showed good internal consistency. Known-group validity showed that Emotional Eating and Internal Disinhibition were significantly associated with higher BMI. CONCLUSION: We found that the TFEQ-R18 factor structure is the most appropriate and practical for use in measuring eating behaviour in an overweight and obese Chinese population in Singapore.
OBJECTIVES: Previous studies reveal that the Three-Factor Eating Questionnaire (TFEQ), which assesses eating behaviour, performs differently across population groups and cultures. We aimed to identify the factor structure that is most appropriate to capture eating behaviour in an overweight and obese Chinese population in Singapore. METHODS: TFEQ-51 was administered to 444 Chinese subjects pooled from four separate studies and scored according to various alternative versions of the TFEQ. Confirmatory factor analyses and goodness of fit indices were used to determine the most appropriate factor structure. Known-group validity analyses were conducted. RESULTS: Niemeier's Disinhibition Factors and the TFEQ-R18 factor structures were found to be the most applicable in our population based on goodness of fit indices, with a x(2)/df ratio of <3, RMSEA of ≤ 0.6 and a CFI value of >0.9 for both. Only two of three factors (Emotional Eating and Uncontrolled Eating) of the TFEQ-R18 showed good internal consistency, while none of Niemeier's Disinhibition Factors showed good internal consistency. Known-group validity showed that Emotional Eating and Internal Disinhibition were significantly associated with higher BMI. CONCLUSION: We found that the TFEQ-R18 factor structure is the most appropriate and practical for use in measuring eating behaviour in an overweight and obese Chinese population in Singapore.
Authors: Tamás Madarász; Enikő Kontor; Emese Antal; Gyula Kasza; Dávid Szakos; Zoltán Szakály Journal: Int J Environ Res Public Health Date: 2022-01-13 Impact factor: 3.390