From these, we calculated body mass index (BMI). 1 In China, approximately 46% of adults and 15% of children are obese or overweight 2,3 and the obesity population is increasing dramatically with elevated consumption of high-calorie foods and adoption of a more sedentary lifestyle. 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]. Adv Prev Med. 14. Methods There has been a substantial rise in the number of obese children in England during the pandemic, data from NHS Digital suggests. J Am Diet Assoc. Knowledge, attitude, and practice of obesity among university students Authors Baohong Xue 1 , Xu Zhang 1 , Tingting Li 1 , Yuanlong Gu 2 , Rui Wang 3 , Wangyang Chen 4 , Xiaohua Ren 4 , Xiaohong Liu 4 , Guanqing Chen 4 , Yi Lin 4 , Chenchen Pan 4 , Wenying Zhao 4 , Tinghui Li 4 , Lianping He 4 , Chunlei Han 5 Affiliations } Similarly, there is enormous heterogeneity in motives for drinking alcohol including coping, enhancement of social status, religious practice, personality type and alcohol availability [37, 38]. Buck D, Frosini F. Clustering of unhealthy behaviours over time - Implications for policy and practice. Methods We searched CINAHL, EMBASE, MEDLINE, and PsycINFO for original studies of undergraduate students where an obesity trait was associated with a risk factor. Senior Lecturer (Biological Sciences) and Head of NutRI research group at Munster Technological University in Cork, Ireland. Obesity and overweight in children have steadily increased in recent decades in developed and developing countries. Details of the constituent foods comprising the 55 foods/food groups entered into the PCA. Kuntsche E, Knibbe R, Gmel G, Engels R. Why do young people drink? At age 10-11 (year 6), 23.4% were obese and 14.3% overweight. This association has not been documented among a university student population, but corroborates associations found in several adult studies [31, 32]. Body mass index during childhood , adolescence and young adulthood in relation to adult overweight and adiposity: the Fels longitudinal study. Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. Puhl RM, Moss-Racusin CA, Schwartz MB (2007) Internalization of . Hum Nutr Appl Nutr. Research activity also includes future proofing dietary assessment methodologies, dietary modelling for more . This study utilized longitudinal data from the NYC Fitnessgram . Where absolute quantities of consumption were given, these were converted into number of portions consumed per day. Missing data on social class for students at the University of Sheffield precluded adjustment for this possibility. The association between obesity and blood clots is already . Yang, Wah Northstone K, Smith AD, Cribb VL, Emmett PM. Adjusted mean pattern scores by demographic and cooking/eating behaviour variables from the GLMs are provided in Table4 (Model 1) and Table5 (Model 2). This study aimed to identify dietary patterns that exist within a UK university student population, to assess the nutritional profile of these patterns, and to examine socio-demographic and lifestyle variables underpinning these patterns. Gong, Jiayu For each retained dietary component a GLM was fitted with demographic variables only (Group 1). In the academic year Prev Med (Baltim). 2022. Alcohol attitudes, motives, norms, and personality traits longitudinally classify nondrinkers, moderate drinkers, and binge drinkers using discriminant function analysis. Furthermore, their analytical approach has been on single foods and/or nutrients, which has allowed assessment of intake relative to dietary recommendations. Yamauchi-Takihara, Keiko Attendance at Ulster University was independently associated with lower vegetarian pattern scores (p<0.001). Google Scholar. Objectives This scoping review identifies factors associated with obesity traits including body mass index, weight, and body fat percentage in undergraduate 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. Full details are provided in tabular form in Additional file1: Table S2). Black, Asian and minority ethnic (BAME) students accounted for 25.1% of students living permanently in the UK. Age groups were prominent in the prevalence of overweight and obesity in males, but an exception in females. 2012;58:10918 Available from: http://www.ncbi.nlm.nih.gov/pubmed/22407132. statement and Google Scholar. 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 . This research aimed to characterise dietary patterns of university students in the UK and their sociodemographic and lifestyle antecedents. 2000;24:162835. Dietary patterns of men in the ALSPAC: associations with socio-demographic and lifestyle characteristics, nutrient intakes and comparison with womens dietary patterns. Undergraduate Research Opportunities Programme. Provided by the Springer Nature SharedIt content-sharing initiative. Many studies paid attention to the worldwide decline in physical activity (PA) and increase the sedentary and obesity. On average, students reported a significant weight increase (1.53 kg+/-2.70, p<0.001), although there was considerable variation, with 55% of the sample reporting weight gain, 12% weight loss,. The inactivity at different ages it is a major problem for most countries. 2014;39:50813. The federation's 2023 atlas also predicted that childhood obesity levels could more than double over the next 12 years to around 208 million boys and 175 million girls. 2022. A blossoming field of study. 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. To generate dietary patterns, the 55 food/food group intake variables were entered into a principal component analysis (PCA) and a varimax (orthogonal) rotation was performed. 001). FFQs are not optimal for the measurement of absolute dietary intake, but the use of a dietary pattern approach permitted ranking according to food group intake and so was considered appropriate. Indeed, the BMI distributions were also biased towards healthy, in keeping with other student surveys [4, 26]. Participants who provided their contact details were entered into a prize draw; each person could win one of 40 20 high street vouchers. Yamamoto, Ryohei Detopoulou, Paraskevi The sex-specific differences in risk factors of excess adiposity have important implications for interventions for primary prevention of obesity within this environment. International Research Opportunities Programme. A second GLM was then fitted, which included significant demographic variables and variables from Group 2. Render date: 2023-03-05T02:12:19.807Z Friendship quality, body dissatisfaction, dieting & disordered eating in adolescent girls. 2016;61:918 Available from: https://doi.org/10.1016/j.addbeh.2016.05.006. 2012;124. . It should also be noted that all dietary studies suffer from selection bias, in which more health- or diet-aware individuals choose to participate. This population also represents a group of young adults with a set of unique factors driving dietary intake: the transition to university life may be associated with increased autonomy over food choice, small food budgets, and exposure to new social groups and food cultures. Central London location. Neumark-Sztainer D, Wall M, Larson N, Eisenberg M, Loth K. Dieting and disordered eating behaviors from adolescence to young adulthood: findings from a 10-year longitudinal study. The snacking and convenience, red meat and alcohol patterns have common features with published data on the food preferences of British university students [2, 4]. for this article. Students with poor cooking ability were less likely to adopt healthier (vegetarian; health-conscious) diets than their more skilled counterparts. Cite this article. Yang, Yurou Kaimori, Junya The selected 70 students were associated with obesity risk factors about obesity (owerveight or normal weight and they were in the risk group in terms of obesity according to the risk rating scales, and between 19-24 years old) and randomly assigned to the experimental (35 students) and control group (35 students). There was lack of fit in statistical models for convenience, red meat and alcohol, and vegetarian dietary patterns. Researchers from the University of Cambridge and Boston Children's Hospital have discovered a genetic cause of severe obesity which, although rare, raises new questions about weight gain and energy use. - UK-domiciled students by age Students reporting greater cooking ability tended towards the vegetarian and health-conscious patterns. In Model 1 (demographic variables only) female gender (p<0.001), middle age group (p=0.020), moderate leisure-time activity levels (p=0.045) and ex-smoker status (p=0.025) were independently associated with higher scores on the vegetarian dietary pattern. The mean age of the sample was 21.5years (SD 2.63years). Pearsons product moment correlation coefficients were calculated between pattern scores and absolute nutrient intakes. 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. Societies, clubs and culture. A validated 111-item FFQ originally developed by the Medical Research Council was employed to assess dietary intake (DietQ; Tinuviel Software Ltd., Warrington, UK; [18, 19]. Maternal education data for Ulster, KCL, St Andrews & Southampton corroborated these differences (data for University of Sheffield not available). Appetite. The latter figure is less than that reported in a survey of over 3000 university students studying in Northern Ireland, which reported that 22% of students did not eat meat [3]. This gradient is congruent with national data, which indicates that the population of Northern Ireland consumes a diet of poorer quality than the UK as a whole [29]. Just less than one quarter of students spent less than 20 on food each week; a weekly food budget of 2029 was most common. and Although obese university students in this study perceived the barriers to healthy eating as very important or somewhat important more than non-obese students, the differences between the two groups were not significant, except for two barriers among women. Lifestyle risk factors of students: a cluster analytical approach. In Model 1, very active physical activity levels (p<0.001), White Other ethnicity (p=0.004) and third year of undergraduate study (p=0.041) were independently associated with higher scores on the health-conscious pattern. It should be noted that we used previously well-proven or validated questionnaires. The aim of the study is to investigate the level of physical activity of university students. Correlation coefficients 0.5 and0.5 were considered strong. Numbers of students excluded based on fulfilment of various eligibility criteria. "useRatesEcommerce": false Diao, Xingling 2015;2015:639239 Available from: http://www.hindawi.com/journals/apm/2015/639239/. New York: Harper Row; 2012. Belfast: University of Ulster; 2006. However, some students consumed poor diets, incurred greater food costs and practised unfavourable lifestyle behaviours, which may have long-term health effects. Obesity is now a bigger cause of deaths in Scotland and England than smoking, according to a new study. The authors responsibilities were as follows: EFS, JMR & MEB conceived and designed the study. Obesity during pregnancy has short term and long term adverse consequences for both mother and child. PubMed tuacin de 0 a 10. Conversely students favouring more healthful dietary patterns reported greater engagement in other health-promoting lifestyle choices, including not smoking, greater participation in physical activity. eating less or different food, or exercising to lose weight)(Reference Haynes, Kersbergen and Sutin87). His experiences are steadily being accumulated through over 9 years of working seamlessly in the nutritional discipline at local and regional institutions. Adele, Ed Sheeran 'too . 1999. 2010. Using multivariate statistical techniques to identify dietary patterns through intake of multiple interrelated food groups captures the complexity and multidimensional nature of diet, which is representative of real life food consumption [17]. Nutr J 17, 90 (2018). The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request. CAS Tzirogiannis, Konstantinos Therefore, we sought to determine the relationship between increasing weight status and fitness within a sample of children and adolescents from New York City public schools. Aggregation of lifestyle behaviours has previously been reported in both university student and adult populations [26,27,28]. Compliance with dietary recommendations by sex in the population under study: students of the University of the Basque Country (UPV/EHU), EHU12/24 study(Mean values and standard deviations, percentages), Table 3. Hung has authored more than 15+ scientific publications and served in numerous advisory roles.<br><br> Founder of Drug & Diet . Br J Clin Psychol. Por lo tanto, la puntuacin mxima para el ICD fue de 50 puntos. In contrast, other student-specific research has failed to detect an association between eating habits and age (or year of study), although most of these studies have not collected detailed dietary data [2, 4, 10, 26]. Students in Northern Ireland appeared to favour less healthful dietary patterns than those in Great Britain. Demographics / sample characteristics. We obtained weight change by subtracting, for each individual, self-reported weights collected at the different time points. 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. Appetite. Cent Eur J Public Health. Abstract. Defining dietary consumption: is the sum greater than its parts? 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. Additionally, reporting being able to cook a wide range of meals from raw ingredients (p=0.002), daily consumption of meals made from raw ingredients (p<0.001) and pre-prepared foods (p=0.002), greatest amount of money spent on food (50/week) (p<0.001), at least occasional consumption of animal products (p<0.001) and infrequent skipping of breakfast (p<0.001) were independently associated with higher health-conscious pattern scores. Anthropometric and lifestyle characteristics, Alcohol consumption among university students in Ireland and the United Kingdom from 2002 to 2014: a systematic review, Systematic estimation of BMI. The Bayes Business School is announcing the Iain Allan Bursary for international students dreaming to pursue their master's studies in the UK. CAS The findings of the study should be considered within the context of its limitations. Results from Years 14 (combined) of the Rolling Programme (2008/20092011/12); 2014. p. 5560. EFS wrote the first draft of the manuscript, with help from MEB. Obes Facts. The survey was conducted between Autumn 2013 and Spring 2015. Sakaguchi, Yusuke Devine P, Lloyd K, Gray AM. Data collection was preceded by a pilot study, which was used to refine the web-survey. 1983;37:10312. It should be noted that these models are developmental and clearly only cover some of the potential antecedents of following such patterns. Risk factors of overweight/obesity-related lifestyles Department of Pharmacy and Food Sciences, Faculty of Pharmacy, University of the Basque Country UPV/EHU, 01006Vitoria-Gasteiz, Spain, https://doi.org/10.1017/S0007114521001483, Reference Vadeboncoeur, Townsend and Charlie Foster, Reference Cutillas, Herrero and de San Eustaqui, Reference Balgoon, Al-Zahrani and Alkhattabi, Reference Coli Bari, Satali and Lukesi, Reference El Ansari, Stock and Mikolajczyk, Reference Hultgren, Turrisi and Cleveland, Reference El Ansari, Ssewanyana and Stock, Reference Lieberman, Marriott and Williams, Reference Bennasar-Veny, Yaez and Jordi Pericas, Reference Moreno-Gmez, Romaguera-Bosch and Tauler-Riera, Reference Telleria-Aramburu, Rocandio and Rebato, Reference Marfell-Jones, Olds and Stewart, Reference Bray, Bouchard, James, Bray, Bouchard and James, Reference Telleria-Aramburu, Alegria-Lertxundi and Arroyo-Izaga, Reference Romaguera, Gracia-Lavedan and Molinuevo, Reference Sotos-Prieto, Bhupathiraju and Falcon, Reference Carbajal, Snchez-Muniz, Garca-Arias and Garca- Fernndez, Reference Ortega, Lpez-Sobaler and Andrs, Reference Panagiotakos, Milias and Pitsavos, Reference Garca-Meseguer, Cervera and Vico, Reference Panagiotakos, Pitsavos and Stefanadis, Reference Healton, Vallone and McCausland, Reference Zaccagni, Barbieri and Gualdi-Russo, Reference Jaalouk, Matar Boumosleh and Helou, Reference Garca-Meseguer, Delicado-Soria and Serrano-Urrea, Reference Whatnall, Patterson and Brookman, Reference Vereecken, Covents and Sichert-Hellert, Global Burden of Disease Collaborative Network, Lifestyle risk factors of students: a cluster analytical approach, Prevalence of overweight/obesity and its associated factors among university students from 22 countries, A meta-analysis of weight gain in first year university students: is freshman 15 a myth, Addressing nutritional issues in the college-aged client: strategies for the nurse practitioner, Prevalence of overweight and obesity, and dieting attitudes among Caucasian and African American college students in Eastern North Carolina: a cross-sectional survey, Prevalence of overweight/obesity and central obesity and its associated factors among a sample of university students in India, Prevalence of overweight and central obesity and their relationship with blood pressure among college students in Shandong, China, Estudio de hbitos alimentarios y estilos de vida de los universitarios espaoles (Study of Food Habits and Lifestyles of Spanish University Students). 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