Do sociodemographic factors and anthropometric measurements affect eating behavior patterns?

IF 1 Q4 FOOD SCIENCE & TECHNOLOGY Nutrition & Food Science Pub Date : 2021-06-10 DOI:10.1108/NFS-12-2020-0453
E. Köksal, M. S. Macit, S. Bilici, E. Karabudak
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Abstract

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.
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社会人口因素和人体测量是否会影响饮食行为模式?
目的肥胖是一种慢性疾病,早期确定潜在因素非常重要。饮食行为紊乱可能预示肥胖风险。设计/方法/方法在本研究中,目的是通过使用三因素饮食问卷- r18 (TFEQ-R18)调查土耳其成年人的饮食行为,并分析人体测量值与社会人口因素之间的关系。结果男性698人,年龄28.6±10.3岁;女性1736人,年龄25.1±7.8岁。通过问卷调查获得参与者的人口统计学特征。进食行为评价采用tfeq - r18量表。结果表明,TFEQ-R18适用于非肥胖者,体重过轻组的Cronbach 's α值为0.83 (n = 180, 7.4%),正常组为0.76 (n = 1604, 65.9%),超重组为0.69 (n = 492, 20.2%),肥胖组为0.69 (n = 158, 6.5%)。性别似乎会影响情绪进食得分(p = 0.026),就业状况似乎会影响TFEQ-R18子组的所有维度(认知进食得分,p = 0.022,不受控制的进食得分,p < 0.001,情绪进食得分,p < 0.001)。离婚个体认知约束得分较高(16.2±3.7)。然而,单身人士的情绪性进食得分更高(7.5±2.6)(p = 0.006)。腰高比、腰颈围与认知约束和不控制进食评分呈正相关(p < 0.001)。然而,体重和身高与认知约束得分呈负相关(p < 0.001)。原创性/价值据作者所知,本研究对TFEQ-R18的使用和预测一般人群饮食行为的能力给出了简要的结果。
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来源期刊
Nutrition & Food Science
Nutrition & Food Science FOOD SCIENCE & TECHNOLOGY-
CiteScore
2.80
自引率
8.30%
发文量
85
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
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