{"title":"社会人口因素和人体测量是否会影响饮食行为模式?","authors":"E. Köksal, M. S. Macit, S. Bilici, E. Karabudak","doi":"10.1108/NFS-12-2020-0453","DOIUrl":null,"url":null,"abstract":"\nPurpose\nObesity is a chronic disease and it is very important to determine the underlying factors at the early stage. Disturbance in eating behaviors may predict the obesity risk.\n\n\nDesign/methodology/approach\nIn the present study, it was aimed to investigate eating behavior of Turkish adults by using The Three-Factor Eating Questionnaire-R18 (TFEQ-R18) and to analyze the association between anthropometric measurements and socio-demographic factors.\n\n\nFindings\nIndividuals composed of 698 males, aged 28.6 ± 10.3 years and 1,736 females, aged 25.1 ± 7.8 years. Demographic characteristics participants were obtained via a questionnaire. TFEQ-R18for assessing eating behavior was used. Results claim that the usage of TFEQ-R18 was appropriate for non-obese individuals (Cronbach’s α value 0.83 for underweight group (n = 180, 7.4%), 0.76 for normal group (n = 1604, 65.9%), 0.69 for overweight group (n = 492, 20.2%), 0.69 obese group (n = 158, 6.5%). Gender seems to effect emotional eating scores (p = 0.026) and employment status seem to affect all TFEQ-R18 sub-group dimensions (cognitive eating scores, p = 0.022, uncontrolled eating scores, p < 0.001, emotional eating scores, p < 0.001). Divorced individuals tend to have higher cognitive restraint scores (16.2 ± 3.7). Although, single people have higher emotional eating scores (7.5 ± 2.6) (p = 0.006). There is a positive correlation among waist–height ratio, waist and neck circumference and cognitive restraint and uncontrolled eating scores (p < 0.001). However, body weight and height correlate negatively with cognitive restraint scores (p < 0.001).\n\n\nOriginality/value\nAccording to the authors’ knowledge, this study gives brief results for the usage of TFEQ-R18 and the ability to predict eating behaviors in the general population.\n","PeriodicalId":19376,"journal":{"name":"Nutrition & Food Science","volume":" ","pages":""},"PeriodicalIF":1.0000,"publicationDate":"2021-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Do sociodemographic factors and anthropometric measurements affect eating behavior patterns?\",\"authors\":\"E. Köksal, M. S. Macit, S. Bilici, E. Karabudak\",\"doi\":\"10.1108/NFS-12-2020-0453\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\nPurpose\\nObesity is a chronic disease and it is very important to determine the underlying factors at the early stage. Disturbance in eating behaviors may predict the obesity risk.\\n\\n\\nDesign/methodology/approach\\nIn the present study, it was aimed to investigate eating behavior of Turkish adults by using The Three-Factor Eating Questionnaire-R18 (TFEQ-R18) and to analyze the association between anthropometric measurements and socio-demographic factors.\\n\\n\\nFindings\\nIndividuals composed of 698 males, aged 28.6 ± 10.3 years and 1,736 females, aged 25.1 ± 7.8 years. Demographic characteristics participants were obtained via a questionnaire. TFEQ-R18for assessing eating behavior was used. Results claim that the usage of TFEQ-R18 was appropriate for non-obese individuals (Cronbach’s α value 0.83 for underweight group (n = 180, 7.4%), 0.76 for normal group (n = 1604, 65.9%), 0.69 for overweight group (n = 492, 20.2%), 0.69 obese group (n = 158, 6.5%). Gender seems to effect emotional eating scores (p = 0.026) and employment status seem to affect all TFEQ-R18 sub-group dimensions (cognitive eating scores, p = 0.022, uncontrolled eating scores, p < 0.001, emotional eating scores, p < 0.001). Divorced individuals tend to have higher cognitive restraint scores (16.2 ± 3.7). Although, single people have higher emotional eating scores (7.5 ± 2.6) (p = 0.006). There is a positive correlation among waist–height ratio, waist and neck circumference and cognitive restraint and uncontrolled eating scores (p < 0.001). However, body weight and height correlate negatively with cognitive restraint scores (p < 0.001).\\n\\n\\nOriginality/value\\nAccording to the authors’ knowledge, this study gives brief results for the usage of TFEQ-R18 and the ability to predict eating behaviors in the general population.\\n\",\"PeriodicalId\":19376,\"journal\":{\"name\":\"Nutrition & Food Science\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2021-06-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nutrition & Food Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1108/NFS-12-2020-0453\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"FOOD SCIENCE & TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nutrition & Food Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/NFS-12-2020-0453","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"FOOD SCIENCE & TECHNOLOGY","Score":null,"Total":0}
Do sociodemographic factors and anthropometric measurements affect eating behavior patterns?
Purpose
Obesity is a chronic disease and it is very important to determine the underlying factors at the early stage. Disturbance in eating behaviors may predict the obesity risk.
Design/methodology/approach
In the present study, it was aimed to investigate eating behavior of Turkish adults by using The Three-Factor Eating Questionnaire-R18 (TFEQ-R18) and to analyze the association between anthropometric measurements and socio-demographic factors.
Findings
Individuals composed of 698 males, aged 28.6 ± 10.3 years and 1,736 females, aged 25.1 ± 7.8 years. Demographic characteristics participants were obtained via a questionnaire. TFEQ-R18for assessing eating behavior was used. Results claim that the usage of TFEQ-R18 was appropriate for non-obese individuals (Cronbach’s α value 0.83 for underweight group (n = 180, 7.4%), 0.76 for normal group (n = 1604, 65.9%), 0.69 for overweight group (n = 492, 20.2%), 0.69 obese group (n = 158, 6.5%). Gender seems to effect emotional eating scores (p = 0.026) and employment status seem to affect all TFEQ-R18 sub-group dimensions (cognitive eating scores, p = 0.022, uncontrolled eating scores, p < 0.001, emotional eating scores, p < 0.001). Divorced individuals tend to have higher cognitive restraint scores (16.2 ± 3.7). Although, single people have higher emotional eating scores (7.5 ± 2.6) (p = 0.006). There is a positive correlation among waist–height ratio, waist and neck circumference and cognitive restraint and uncontrolled eating scores (p < 0.001). However, body weight and height correlate negatively with cognitive restraint scores (p < 0.001).
Originality/value
According to the authors’ knowledge, this study gives brief results for the usage of TFEQ-R18 and the ability to predict eating behaviors in the general population.
期刊介绍:
Nutrition & Food Science* (NFS) is an international, double blind peer-reviewed journal offering accessible and comprehensive coverage of food, beverage and nutrition research. The journal draws out the practical and social applications of research, demonstrates best practice through applied research and case studies and showcases innovative or controversial practices and points of view. The journal is an invaluable resource to inform individuals, organisations and the public on modern thinking, research and attitudes to food science and nutrition. NFS welcomes empirical and applied research, viewpoint papers, conceptual and technical papers, case studies, meta-analysis studies, literature reviews and general reviews which take a scientific approach to the following topics: -Attitudes to food and nutrition -Healthy eating/ nutritional public health initiatives, policies and legislation -Clinical and community nutrition and health (including public health and multiple or complex co-morbidities) -Nutrition in different cultural and ethnic groups -Nutrition during pregnancy, lactation, childhood, and young adult years -Nutrition for adults and older people -Nutrition in the workplace -Nutrition in lower and middle income countries (incl. comparisons with higher income countries) -Food science and technology, including food processing and microbiological quality -Genetically engineered foods -Food safety / quality, including chemical, physical and microbiological analysis of how these aspects effect health or nutritional quality of foodstuffs