New York: Harper Row; 2012. Obes Facts. Meng, Yihan The present study explores contextual factors affecting overweight and obesity among university students in China and, in particular, focuses on how the SES-obesity relationship varies across different . Finally, the public health impact of dietary patterns and other lifestyle risk factors established during university become most important if these behaviours track forward into working adult life and represent a blueprint for long-term dietary preferences. Mikkil V, Rsnen L, Raitakari OT, Pietinen P, Viikari J. Public Health Nutr. The FFQ was piloted among 40 students at the University of Sheffield. University of Sheffield ethical approval covered the research at Kings College London and Southampton. Abstract. The cut-offs for implausible energy intakes in the Nurses Health Study (<500 Kcal/day and>3500 Kcal/day) and Healthcare Professionals Follow-up Study (<800 Kcal/day or>4200 Kcal/day) were used to identify and exclude participants reporting implausible energy intakes the current study. Article HIgher Education Statistics Agency Ltd. No association, however, was identified between cooking ability and scores on the less healthful dietary patterns (snacking; convenience, red meat & alcohol). Devine P, Lloyd K, Gray AM. International students (non-Home or non-EU) were not included because of possible heterogeneity in food choice (this issue was identified in the pilot study), and the dietary assessment instrument used was Euro-centric. Students with poor cooking ability were less likely to adopt healthier (vegetarian; health-conscious) diets than their more skilled counterparts. Human Nutrition Unit, Department of Oncology & Metabolism, The Medical School, University of Sheffield, Sheffield, S10 2RX, UK, Corporate Information & Computing Service, University of Sheffield, Sheffield, S10 2GU, UK, Medical & Biological Sciences Building, University of St Andrews, St Andrews, KY16 9TF, UK, School of Health and Related Research, University of Sheffield, Sheffield, S1 4DA, UK, Nutrition Innovation Centre for Food & Health (NICHE), Ulster University, Coleraine, BT52 1SA, UK, Food & Nutrition Group, Business School, Sheffield Hallam University, Sheffield, S1 1WB, UK, You can also search for this author in Using multivariate statistics. Dietary patterns of university students in the UK: a cross-sectional study. Dodd LJ, Al-Nakeeb Y, Nevill A, Forshaw MJ. The study is based on the early BMI history of over 37,000 males as well as information regarding their adult thrombi if any. 2022. Existing studies allude to non-prudent consumption patterns, reporting low consumption of fruit and vegetables alongside high intakes of confectionery, alcohol, and fried, ready-made and convenience foods [2,3,4]. Sakaguchi, Yusuke The impact of a community-based food skills intervention on cooking confidence, food preparation methods and dietary choices - an exploratory trial. Dietary patterns of university students in the UK: a cross-sectional study, https://doi.org/10.1186/s12937-018-0398-y, http://www.hindawi.com/journals/apm/2015/639239/, http://www.ncbi.nlm.nih.gov/pubmed/20054220, http://www.ncbi.nlm.nih.gov/pubmed/16022763, http://www.ncbi.nlm.nih.gov/pubmed/22407132, https://doi.org/10.1016/j.ypmed.2010.04.005, http://www.kingsfund.org.uk/publications/clustering-unhealthy-behaviours-over-time, http://www.ncbi.nlm.nih.gov/pubmed/2223737, http://www.ncbi.nlm.nih.gov/pubmed/22001025, http://www.ncbi.nlm.nih.gov/pubmed/9573452, https://doi.org/10.1016/j.addbeh.2016.05.006, http://creativecommons.org/licenses/by/4.0/, http://creativecommons.org/publicdomain/zero/1.0/. This research aimed to characterise dietary patterns of university students in the UK and their sociodemographic and lifestyle antecedents. Objectives This scoping review identifies factors associated with obesity traits including body mass index, weight, and body fat percentage in undergraduate students. Lincoln University in Pennsylvania told its students that those who were classified as obese after a mandatory body mass index check had to take a class to teach them healthy living, and that. Demographics / sample characteristics. Despite this, there is limited progress in addressing the problem of obesity among college students. We obtained weight change by subtracting, for each individual, self-reported weights collected at the different time points. Using this method, 24 participants were identified as over-reporters (8 males; 16 females) and three participants were identified as under-reporters (1 male; 2 females). This was the autumn semester 2013 for students at Sheffield, the autumn semester 2014 for students at Ulster and KCL, and the spring semester 2014 for students at Southampton and St Andrews. Appetite. Google Scholar. I am the Professor of Cultural Studies at Flinders University (Australia), Fellow of the Royal Society for the encouragement of Arts, Manufactures & Commerce (RSA) and Director of the Popular Culture Collective. It should be noted that these models are developmental and clearly only cover some of the potential antecedents of following such patterns. Adele, Ed Sheeran 'too . Scientists believe that genes may increase a person's likelihood of having obesity but that outside factors, such as an abundant food supply or little physical activity, also may be required for . The lack of association between university attended and consumption of the convenience, red meat & alcohol diet also deserves attention. 2011;19:197204. Gao, Lilian et al. The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request. 2009;2:15765 Available from: http://www.ncbi.nlm.nih.gov/pubmed/20054220. A limited body of data indicates that the dietary behaviours of UK university students are not conducive to either short- or long-term health. 2010;64:97886. Longitudinal research is now needed to investigate this possibility. Pearsons correlation coefficients between dietary pattern scores and energy intake were calculated. Lake AA, Adamson AJ, Craigie AM, Rugg-Gunn AJ, Mathers JC. Hostname: page-component-7fc98996b9-jxww4 Larson NI, Neumark-Sztainer D, Story M. Weight control behaviors and dietary intake among adolescents and young adults: longitudinal findings from project EAT. 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The wider literature consistently reports a positive association between socioeconomic status and diet quality across UK population groups [21, 23, 28]. CAS Google Scholar. Matsui, Isao Nagatomo, Izumi CAS University policy to improve students diets should incorporate efforts to promote student engagement in cooking and food preparation, and increased availability of low cost healthier food items. A total of 1683 students across the five universities responded to the survey. Research activity also includes future proofing dietary assessment methodologies, dietary modelling for more . The health-conscious pattern had greatest nutrient density. Nutr Rev. University student food attitudes and behaviour survey. volume17, Articlenumber:90 (2018) Previously, I held the academic positions of Dean, Head of School, Head of Department and Institutional Head of the REF, to name a (very) few roles. Kudo, Takashi Wrieden WL, Anderson AS, Longbottom PJ, Valentine K, Stead M, Caraher M, et al. The sex-specific differences in risk factors of excess adiposity have important implications for interventions for primary prevention of obesity within this environment. Half the men of the 1946 generation were overweight by the time they were 41, compared to age 30 for men born in 1970. Shi, Yumeng 2022. Dietary behaviours and sociocultural demographics in Northern Ireland. Objective: To describe lifestyle behaviors (fruit and vegetable intake, alcohol intake, physical activity, sitting time, smoking, drug use, sleep, sexual health) and health risk factors (body mass index, food insecurity, mental health) in a sample of Australian university students. By the time they are aged 10 or 11, more than a quarter are obese,. Wang, Lina Appetite. Students attending the University of Sheffield were least likely to adopt a health-conscious dietary pattern. Contradictory results were obtained in women for the two diet quality indices estimated, this result could be related to discrepancies in constructs and scoring criteria of diet quality indices used. Importantly, policy makers must recognise not all students consume poor diets at university: a large group of students consumed nutritionally favourable and health-promoting diets and do not appear in need of dietary intervention. The sociodemographic characteristics of the sample are shown in Table1. Northern Ireland: Public Health England; 2014. p. 6184. The University of Sheffield was its sponsor. London: British Government; 2015. It is of note that a vegetarian diet was the predominant pattern identified in the current study, and indeed 10% of students described themselves as vegetarian. and The remaining students were from the Universities of Southampton (n=79; 5.5%) and St Andrews, Scotland (n=54; 3.7%). It is possible that as students mature they become increasingly aware of the impact of dietary choices on health and well-being, and health thus becomes an increasingly important determinant of food choice. Dietary patterns of men in the ALSPAC: associations with socio-demographic and lifestyle characteristics, nutrient intakes and comparison with womens dietary patterns. Am J Clin Nutr. and M. A.-I. Students gender, age, geographical location and cooking ability were associated with differences in pattern behaviour. Associations with sociodemographic variables were assessed through general linear modelling. [cited 2012 Mar 13]. BMI is a tool that doctors use to assess whether or not a person has an appropriate weight for their age, sex, and height. Furthermore, contemporary policy to limit red meat and alcohol consumption has greatest relevance to male students. Chen, Xiaomei Tinuviel Software Ltd. DIETQ Validation. Obesity is associated with a long list of chronic health conditions, many of which become more difficult to treat over time. Dietary gradients were also evident in relation to geography in a comparative study of university students from seven universities across the UK, although absence of information on specific university location limits comparison [2]. 1990;64:31929 Available from: http://www.ncbi.nlm.nih.gov/pubmed/2223737. Full details are provided in tabular form in Additional file1: Table S2). Moreover, only health-sciences students were recruited at Southampton, which may represent a source of bias. There was a weak negative correlation between the vegetarian pattern and energy intake (r=0.096; p<0.01), but a weak positive correlation between the health-conscious pattern and energy intake (r=0.271; P<0.01). Although a recent British student study observed no gender differences between eating patterns [4], this study lacked detailed dietary assessment. Yan, Wenjing 2007;10:5908. The World Health Organization (WHO) defines obesity as an "abnormal or excessive fat accumulation that may impair health," further clarifying that "the fundamental cause of obesity and overweight is an energy imbalance between calories consumed and calories expended" [ 1, 2 ]. The majority of students (n=1000; 69.1%) reported a healthy BMI (18.524.99kg/m2); mean BMI was 22.8kg/m2 (SD 4.64kg/m2). Participants were required to recall their habitual diet over the most recent university semester (three months). Nakanishi, Kaori Br J Nutr. According to the Centers for Disease Control (CDC) between 2009 and 2010 more than 35 percent of adults across the U.S. and Canada were considered obese, (McGuire, 2011, pp. Nutrition Journal 2012;58:10918 Available from: http://www.ncbi.nlm.nih.gov/pubmed/22407132. In according with the results will see how . Clin Psychol Rev. (Do the Spanish University students follow Mediterranean dietary patterns? Dedes, Vassilis Despite that, previous validation studies indicate that the self-reported information, for example, those related to diet, is reported with sufficient accuracy for use in epidemiology analysis(Reference Vereecken, Covents and Sichert-Hellert88). Attendance at Ulster University was independently associated with lower vegetarian pattern scores (p<0.001). The CTD team of the Department of Clinical Pathology, who participated in 'Free Draw', a student-led non-subject program operated as part of the University Innovation Support Project, developed lactic acid bacteria products found in kimchi to solve various health problems caused by the increase in obesity worldwide. Language Schools; Listservs; MCLLC Newsletters; P-12 Collaboration; MCLub. Slattery ML. The aim of the study is to investigate the level of physical activity of university students. In Model 1, male gender (p<0.001), lowest leisure-time physical activity levels (p=0.032), and regular/social smoking status (p<0.001) were independently associated with higher scores on the convenience, red meat & alcohol diet pattern. Hung has authored more than 15+ scientific publications and served in numerous advisory roles.<br><br> Founder of Drug & Diet . Detopoulou, Paraskevi and His experiences are steadily being accumulated through over 9 years of working seamlessly in the nutritional discipline at local and regional institutions. Informed consent for participation was obtained on the first page of the web-survey. Obesity causes problems with infertility, and in early gestation it causes spontaneous pregnancy loss and congenital anomalies. Students gender, age, year of study, geographical location and cooking ability were associated with differences in pattern behaviour. It has identified a number of antecedents of both healthful and unhealthful dietary practices. If both of your parents have obesity, your likelihood of developing obesity is as high as 80%. Missing data on social class for students at the University of Sheffield precluded adjustment for this possibility. Clustering of lifestyle risk factors with dietary patterns was also evident, with less healthful dietary patterns associated with smoking, low physical activity and take-away consumption. Adults without a high school degree or equivalent had the highest self-reported obesity (37.8%), followed by adults with some college (35.6%) or high school graduates (35.5%), and then by college graduates (26.3%). This includes 44.3% of students studying for their first undergraduate degree. Such weight gain may have long-term repercussions, since overweight during young adulthood has been identified as a significant predictor of obesity later in life [11]. 2005;25:84161. This study provides a unique insight into the dietary patterns of UK university students along with associated nutritional content. Obesity can also cause psychological problems including low self-esteem and depression due to social stigma. These patterns explained approximately one fifth of the variance in food intake. Northstone K, Smith AD, Cribb VL, Emmett PM. Furthermore, high rates of body dissatisfaction and dieting behaviours have been noted, particularly amongst female students [12, 13]. The survey was conducted between Autumn 2013 and Spring 2015. Almost 1 in 3 college American students have obesity presently (1). 2016;61:918 Available from: https://doi.org/10.1016/j.addbeh.2016.05.006. 2007;46:6783. Dietary analyses revealed four major dietary patterns: vegetarian; snacking; health-conscious; and convenience, red meat & alcohol. 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Transitions in drinking behaviors across the college years: a latent transition analysis, Behavioral health risk profiles of undergraduate university students in England, wales, and northern Ireland: a cluster analysis, Adherence to the Mediterranean Diet and lifestyle characteristics of university students in cyprus: a cross-sectional survey, Social relationships and healthful dietary behaviour: evidence from over-50s in the EPIC cohort, UK, Physiological responses to food intake throughout the day, Tracking of obesity-related behaviours from childhood to adulthood: a systematic review, Results of a 2-year randomized, controlled obesity prevention trial: effects on diet, activity and sleep behaviors in an at-risk young adult population, Adolescent diet quality and cardiovascular disease risk factors and incident cardiovascular disease in middle-aged women, the prevalence of dietary supplement use among college students: a nationwide survey in Japan, Consumption and reasons for use of dietary supplements in an Australian university population, Patterns of dietary supplement use among college students, Cluster Analysis of Health-Related Lifestyles in University Students, Clustering of lifestyle factors in Spanish university students: the relationship between smoking, alcohol consumption, physical activity and diet quality, Eating habits, food and health related attitudes and beliefs reported by French students, The EHU12/24 cohort: survey design, instruments and participants, International Standards for Anthropometric Assessment. The majority of students were White British (n=911; 62.9%) and registered for full-time study (n=1394; 96.3%). First, recall bias inherent in a convenience sample cannot be ruled out. 2 These children are at greater risk of developing related functional, metabolic, and psychological conditions; experiencing pervasive weight bias and stigma; and having greater healthcare costs. In the United States, 36% of adults and 17% of youth meet the criteria for obesity (Ogden, et al. Nikolaou CK, Hankey CR, Lean MEJ. London, February 28. One important aspect relates to diet and there is emerging evidence that university students may consume poor quality diets, with potential implications for body weight and long-term health. Kenyon PM, Barker ME. Matsumura, Yuichiro Societies, clubs and culture. Generally, students at Ulster University favoured less healthful patterns, whilst those at the Universities of Southampton, St Andrews and KCL tended towards more healthful diets. A review of drinking motives. The second dietary component had high positive factor loadings for biscuits, cakes and sweet pastries, milk- and cream-based desserts, confectionery, crisps and savoury snacks, fruit juice, other bread, pizza and fizzy drinks. The largest effects (magnitudes of ORs) were found for the variables breakfast skipping and PA level in men, and for adherence to the Mediterranean diet in women. Compared with normal-weight students, overweight students had greater waist and hip circumferences and higher blood pressure, fasting and 2-h insulin, fasting total cholesterol, LDL cholesterol, VLDL cholesterol, triacylglycerol, and leptin levels. According to a survey in 2021, 44% of college students in the US described their weight as more than normal, i.e. Just over one-third of students were studying a health-related degree. The results of this study suggest that certain unhealthy lifestyle behaviours coexist, interact and increase the risk of overweight/obesity in this population. One important aspect relates to diet and there is emerging evidence that university students may consume poor quality diets, with potential implications for body weight and long-term health. In the academic year The prevalence of overweight and obesity in adolescents is defined according to the WHO growth reference for school-aged children and adolescents (overweight = 1 standard deviation body mass index for age and sex, and obese = 2 standard deviations body mass index for age and sex). To avoid this, the majority of assessments were conducted over 2 d to ensure adequate concentration while answering the questions and to promote the participation. Such engagement in dieting behaviour and dysfunctional relationships with food not only impact on dietary adequacy [14, 15], but may also create tension and conflict for young people as they develop relationships with new peer groups [16]. Guo SS, Huang C, Maynard LM, Demerath E, Towne B, Chumlea WC, et al. EFS was primarily responsible for data collection and analysis, with advice from JMR. The vegetarian, snacking and health-conscious patterns identified here are analogous to those previously reported in adult and adolescent UK populations [22, 23]. Participation Rates in Higher Education: Academic Years 2006/20072013/2014. Information on dieting/weight loss behaviour, supplement use, cooking ability (four response options from able to cook wide range of meals from raw ingredients through to unable to cook at all), smoking status (students were asked to self-identify as a never smoker, ex-smoker, social smoker or regular smoker), self-reported physical activity levels (students were required to self-identify as not very active, moderately active or very active), body weight (kg) and height (m) (for calculation of body mass index (BMI), kg/m2), cooking behaviours (consumption of: meals made from raw ingredients; pre-prepared foods; ready meals and take-aways; and meals from university cafeteria) and weekly food expenditure () was also collected. This study was conducted as part of EFSs PhD project. Int J Obes. Only health sciences students were recruited at the University of Southampton, because of logistical issues in distribution of the survey. Lack of sleep -another hallmark of the Western lifestyle-is also emerging as a risk factor for . There are also indications of high intakes of confectionery and fast foods, and low consumption of fruit and vegetables [3, 4]. Eating behaviours and other eating-related characteristics of the Phase 1 sample. 2010. Childhood obesity in England 10.1% of reception age children (age 4-5) were obese in 2021/22, with a further 12.1% were overweight. Television watching is a strong obesity risk factor, in part because exposure to food and beverage advertising can influence what people eat. College-based obesity prevention educational interventions are multi-component efforts that provide education about nutrition, physical activity, and healthy weight management; such interventions are often paired with campus environment improvements. University policy to improve students diets should also incorporate efforts to promote student engagement in cooking and food preparation, and increased availability of low cost healthier food items. Methods: A cross-sectional . Very much enjoy teaching as a guest lecturer and supporting students on placement. The authors responsibilities were as follows: EFS, JMR & MEB conceived and designed the study. View all Google Scholar citations Visit. In Model 2 (demographic variables & food/eating related variables), female gender (p<0.001), middle age group (p=0.020), greatest self-reported cooking ability (p=0.036), least frequent consumption of pre-prepared foods (p=0.047) and lower consumption of animal products (p=0.036) were independently associated with higher vegetarian pattern scores. The Body Mass Index or BMI is a scale that assigns a number value that is . Render date: 2023-03-05T02:12:19.807Z 2012;13:40511. Dietary patterns were generated from food frequency intake data using principal components analysis. Br J Nutr. 2012;124. A second GLM was then fitted, which included significant demographic variables and variables from Group 2.
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