Psychometric analysis of an eating behaviour questionnaire for an overweight and obese Chinese population in Singapore
10.1016/j.appet.2016.03.005
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ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
2022
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sg-nus-scholar.10635-2160562024-04-24T05:32:12Z Psychometric analysis of an eating behaviour questionnaire for an overweight and obese Chinese population in Singapore Chong, Mary Foong-Fong Ayob, M Na'im M Chong, Kok Joon Tai, E-Shyong Khoo, Chin Meng Leow, Melvin Khee-Shing Lee, Yung Seng Tham, Hkwang Wei Venkataraman, Kavita Meaney, Michael J Wee, Hwee Lin Khoo, Eric Yin-Hao DEAN'S OFFICE (SSH SCH OF PUBLIC HEALTH) MEDICINE PAEDIATRICS DUKE-NUS MEDICAL SCHOOL SAW SWEE HOCK SCHOOL OF PUBLIC HEALTH Science & Technology Life Sciences & Biomedicine Behavioral Sciences Nutrition & Dietetics Eating behaviours Chinese Obesity Overweight Three-factor eating questionnaire DIETARY RESTRAINT WEIGHT-LOSS DISINHIBITION INVENTORY INDEXES WOMEN MEN HUNGER 10.1016/j.appet.2016.03.005 APPETITE 101 119-124 UNITED KINGDOM 2022-02-24T07:55:26Z 2022-02-24T07:55:26Z 2016-06-01 2022-02-24T04:21:59Z Article Chong, Mary Foong-Fong, Ayob, M Na'im M, Chong, Kok Joon, Tai, E-Shyong, Khoo, Chin Meng, Leow, Melvin Khee-Shing, Lee, Yung Seng, Tham, Hkwang Wei, Venkataraman, Kavita, Meaney, Michael J, Wee, Hwee Lin, Khoo, Eric Yin-Hao (2016-06-01). Psychometric analysis of an eating behaviour questionnaire for an overweight and obese Chinese population in Singapore. APPETITE 101 : 119-124. ScholarBank@NUS Repository. https://doi.org/10.1016/j.appet.2016.03.005 01956663 10958304 https://scholarbank.nus.edu.sg/handle/10635/216056 en ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD Elements |
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Science & Technology Life Sciences & Biomedicine Behavioral Sciences Nutrition & Dietetics Eating behaviours Chinese Obesity Overweight Three-factor eating questionnaire DIETARY RESTRAINT WEIGHT-LOSS DISINHIBITION INVENTORY INDEXES WOMEN MEN HUNGER |
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Science & Technology Life Sciences & Biomedicine Behavioral Sciences Nutrition & Dietetics Eating behaviours Chinese Obesity Overweight Three-factor eating questionnaire DIETARY RESTRAINT WEIGHT-LOSS DISINHIBITION INVENTORY INDEXES WOMEN MEN HUNGER Chong, Mary Foong-Fong Ayob, M Na'im M Chong, Kok Joon Tai, E-Shyong Khoo, Chin Meng Leow, Melvin Khee-Shing Lee, Yung Seng Tham, Hkwang Wei Venkataraman, Kavita Meaney, Michael J Wee, Hwee Lin Khoo, Eric Yin-Hao Psychometric analysis of an eating behaviour questionnaire for an overweight and obese Chinese population in Singapore |
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10.1016/j.appet.2016.03.005 |
author2 |
DEAN'S OFFICE (SSH SCH OF PUBLIC HEALTH) |
author_facet |
DEAN'S OFFICE (SSH SCH OF PUBLIC HEALTH) Chong, Mary Foong-Fong Ayob, M Na'im M Chong, Kok Joon Tai, E-Shyong Khoo, Chin Meng Leow, Melvin Khee-Shing Lee, Yung Seng Tham, Hkwang Wei Venkataraman, Kavita Meaney, Michael J Wee, Hwee Lin Khoo, Eric Yin-Hao |
format |
Article |
author |
Chong, Mary Foong-Fong Ayob, M Na'im M Chong, Kok Joon Tai, E-Shyong Khoo, Chin Meng Leow, Melvin Khee-Shing Lee, Yung Seng Tham, Hkwang Wei Venkataraman, Kavita Meaney, Michael J Wee, Hwee Lin Khoo, Eric Yin-Hao |
author_sort |
Chong, Mary Foong-Fong |
title |
Psychometric analysis of an eating behaviour questionnaire for an overweight and obese Chinese population in Singapore |
title_short |
Psychometric analysis of an eating behaviour questionnaire for an overweight and obese Chinese population in Singapore |
title_full |
Psychometric analysis of an eating behaviour questionnaire for an overweight and obese Chinese population in Singapore |
title_fullStr |
Psychometric analysis of an eating behaviour questionnaire for an overweight and obese Chinese population in Singapore |
title_full_unstemmed |
Psychometric analysis of an eating behaviour questionnaire for an overweight and obese Chinese population in Singapore |
title_sort |
psychometric analysis of an eating behaviour questionnaire for an overweight and obese chinese population in singapore |
publisher |
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD |
publishDate |
2022 |
url |
https://scholarbank.nus.edu.sg/handle/10635/216056 |
_version_ |
1800915333814419456 |