Cross-Sectional Associations between Empirically-Derived Dietary Patterns and Indicators of Disease Risk among University Students

Blondin, Stacy; Mueller, Megan P.; Bakun, Peter; Choumenkovitch, Silvina F.; Tucker, Katherine L.; Economos, Christina D.

doi:10.3390/nu8010003

Cited by 39 publications

(42 citation statements)

References 94 publications

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“…The results of Del Piero et al [52] showed that the diet of Argentine university students moves away from a pattern of healthy eating since it is based primarily on processed, industrialized, and micronutrient-poor products. Similar to what has been reported by Pastor et al [53] in Spain, Whatnall et al [49] in Australia, and Blondin et al [54] in the US, patterns that include processed foods explained most of the total variance (22.2%, 16.8%, and 10.3% respectively); we found a "dairy & cereals" pattern that contained a high proportion of processed breakfast cereals. Thus, food patterns of university students may be similar, independent of the continent where they live.…”

Section: Discussionsupporting

confidence: 90%

Dietary Patterns of Breakfast Consumption Among Chilean University Students

Díaz-Torrente

Dourado

2020

Nutrients

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Breakfast is one of the most important meals of the day. A good quality breakfast must include dairy products, cereals, and fruits. The aim of this study is to determine breakfast dietary patterns and their nutritional quality among Chilean university students. A cross-sectional non-probabilistic study was conducted in 200 university students between 18 and 27 years in Santiago, Chile. To identify dietary patterns and breakfast quality, a breakfast food survey was conducted. Patterns were identified by factor analysis. Most of the subjects (53%) ate breakfast daily, with a higher prevalence among females (60.2% vs. 43.7%, p < 0.05); 68% did not consume fruits and 17.5% had good breakfast quality, with no differences by sex. Four breakfast dietary patterns were identified: “dairy & cereals”, “healthy”, “traditional salty” and “traditional sweet” that together explained 35.6% of the total variance. There was no sex difference in predominant dietary patterns. The “dairy & cereals” and “traditional sweet” patterns were associated with regularly eating breakfast (β: −0.47, p = 0.001; β: −0.32, p = 0.020) and the “healthy” pattern with BMI ≥25 kg/m2 (β: 0.35, p = 0.024). In conclusion, breakfast quality was inadequate due to low fruit consumption and energy intake. The four identified patterns included cereals, bread, dairy, fats and sugars. Results may be usual in the planning of future interventions aimed at improving breakfast consumption and quality in university students.

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Section: Discussionsupporting

confidence: 90%

Dietary Patterns of Breakfast Consumption Among Chilean University Students

Díaz-Torrente

Dourado

2020

Nutrients

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“…Late adolescence and early adulthood period has been reported as indicative in relation to weight changes and adoption of poor dietary and exercise patterns (9); numerous studies from US have confirmed that freshman years among university students are critical in weight gain and behavioral patterns that may contribute to overweight and obesity (10)(11)(12). Weight gain in freshman college students and perceived health among European undergraduate has proven to follow the same pattern, but with a more pronounced perception of overweight and obesity among female students (8), even within other age groups (13,14) (gender-sensitive dimorphism).…”

Section: Introductionmentioning

confidence: 99%

Eating Habits and Standard Body Parameters Among Students at University of Banja Luka

Rašeta

Simović

Djuric

et al. 2018

Serbian Journal of Experimental and Clinical Research

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Poor dietary habits have become one of the most important concerns among public health policy makers in recent years, due to the impact they have on both economic and health systems of a country. The transitional period toward young adulthood, marked with high school graduation and the beginning of college years, has been identified as critical in terms of its influence on young people’s bad eating habits. The aim of this study was to assess whether the results obtained through Food Frequency Questionnaire significantly correlate with standard body parameters. Participants included 210 students from the University of Banja Luka, with the mean age of 21.94 ± 2.73 years. Factorization of Food Frequency Questionnaire Instrument extracted seven factors which were subjected to multiple regression analysis as independent variables, and correlated to dependent variables - anthropological measurements. This study shows that the factors labeled as consumption of bread, consumption of healthy food, and intake of carbohydrates, are significantly related to Body Fat Percentage, whereas factors labeled as intake of food of animal origin, and intake of fruits and vegetables, are statistically significant in terms of their relation to Waist-to-Hip Ratio. Only one factor, labeled as intake of unhealthy food, is significantly related to Body Mass Index; this is to suggest that Body Mass Index has again showed many limitations with regard to its research relevance. This research has also found that students of the University of Banja Luka typically consume white bread, known to have a direct link with overweight and obesity.

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“…Some pieces of research have identified lifestyle patterns associated to specific phenotypes and obesity in several population groups [34,35] and contributed to unravel the consequences that different diets may have on health [2,11,35,36,37,38]. …”

Section: Discussionmentioning

confidence: 99%

Lifestyle Patterns and Weight Status in Spanish Adults: The ANIBES Study

et al. 2017

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Limited knowledge is available on lifestyle patterns in Spanish adults. We investigated dietary patterns and possible meaningful clustering of physical activity, sedentary behavior, sleep time, and smoking in Spanish adults aged 18–64 years and their association with obesity. Analysis was based on a subsample (n = 1617) of the cross-sectional ANIBES study in Spain. We performed exploratory factor analysis and subsequent cluster analysis of dietary patterns, physical activity, sedentary behaviors, sleep time, and smoking. Logistic regression analysis was used to explore the association between the cluster solutions and obesity. Factor analysis identified four dietary patterns, “Traditional DP”, “Mediterranean DP”, “Snack DP” and “Dairy-sweet DP”. Dietary patterns, physical activity behaviors, sedentary behaviors, sleep time, and smoking in Spanish adults aggregated into three different clusters of lifestyle patterns: “Mixed diet-physically active-low sedentary lifestyle pattern”, “Not poor diet-low physical activity-low sedentary lifestyle pattern” and “Poor diet-low physical activity-sedentary lifestyle pattern”. A higher proportion of people aged 18–30 years was classified into the “Poor diet-low physical activity-sedentary lifestyle pattern”. The prevalence odds ratio for obesity in men in the “Mixed diet-physically active-low sedentary lifestyle pattern” was significantly lower compared to those in the “Poor diet-low physical activity-sedentary lifestyle pattern”. Those behavior patterns are helpful to identify specific issues in population subgroups and inform intervention strategies. The findings in this study underline the importance of designing and implementing interventions that address multiple health risk practices, considering lifestyle patterns and associated determinants.

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Cross-Sectional Associations between Empirically-Derived Dietary Patterns and Indicators of Disease Risk among University Students

Cited by 39 publications

References 94 publications

Dietary Patterns of Breakfast Consumption Among Chilean University Students

Dietary Patterns of Breakfast Consumption Among Chilean University Students

Eating Habits and Standard Body Parameters Among Students at University of Banja Luka

Lifestyle Patterns and Weight Status in Spanish Adults: The ANIBES Study

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