Nutrition Knowledge and Eating Behaviors among College Students in the Pyeongtaek Area

2020 ◽  
Vol 30 (3) ◽  
pp. 235-251
Author(s):  
Seo Hyeon Ahn ◽  
Seong Yeong Kim
2021 ◽  
Vol 113 (3) ◽  
pp. 44-52
Author(s):  
Jessica K. Nigg ◽  
Rachel Vollmer ◽  
Teresa Drake

The COVID-19 pandemic has influenced many aspects of life and wellbeing. Eating behaviors and food habits among college students—many leaving campus and returning home mid-semester—were of particular interest for this qualitative study. Reflections from 33 students across 3 courses were analyzed using content analysis. Five major themes emerged from the data: diet changes, minimizing risk, responsibility, silver linings, and food and nutrition knowledge and skills. Several opportunities for family and consumer sciences (FCS) educators and professionals exist to help individuals and families through COVID-19 or to promote FCS classes on college campuses.


2008 ◽  
Author(s):  
Christina C. Tortolani ◽  
Debra L. Franko ◽  
Ashley McCray ◽  
Emma Zoloth

2020 ◽  
pp. 003151252098308
Author(s):  
Bianca G. Martins ◽  
Wanderson R. da Silva ◽  
João Marôco ◽  
Juliana A. D. B. Campos

In this study we proposed to estimate the impact of lifestyle, negative affectivity, and college students’ personal characteristics on eating behavior. We aimed to verify that negative affectivity moderates the relationship between lifestyle and eating behavior. We assessed eating behaviors of cognitive restraint (CR), uncontrolled eating (UE), and emotional eating (EE)) with the Three-Factor Eating Questionnaire-18. We assessed lifestyle with the Individual Lifestyle Profile, and we assessed negative affectivity with the Depression, Anxiety and Stress Scale-21. We constructed and tested (at p < .05) a hypothetical causal structural model that considered global (second-order) and specific (first-order) lifestyle components, negative affectivity and sample characteristics for each eating behavior dimension. Participants were 1,109 college students ( M age = 20.9, SD = 2.7 years; 65.7% females). We found significant impacts of lifestyle second-order components on negative affectivity (β = −0.57–0.19; p < 0.001–0.01) in all models. Physical and psychological lifestyle components impacted directly only on CR (β=−0.32–0.81; p < 0.001). Negative affectivity impacted UE and EE (β = 0.23–0.30; p < 0.001). For global models, we found no mediation pathways between lifestyle and CR or UE. For specific models, negative affectivity was a mediator between stress management and UE (β=−0.07; p < 0.001). Negative affectivity also mediated the relationship between thoughts of dropping an undergraduate course and UE and EE (β = 0.06–0.08; p < 0.001). Participant sex and weight impacted all eating behavior dimensions (β = 0.08–0.34; p < 0.001–0.01). Age was significant for UE and EE (β=−0,14– −0.09; p < 0.001–0.01). Economic stratum influenced only CR (β = 0.08; p = 0.01). In sum, participants’ lifestyle, negative emotions and personal characteristics were all relevant for eating behavior assessment.


2021 ◽  
Vol 11 (1) ◽  
pp. 143-151
Author(s):  
Carol A. Fackler ◽  
Nancy Baugh ◽  
Ann A. Lovegren ◽  
Carol Nemeroff ◽  
Janet Whatley Blum

Obesity is an issue for young adults in the U.S. This population is particularly vulnerable to weight gain as they move from adolescence to young adulthood, especially as they transition from high school to college. Adopting a health promotion approach, a university-based cluster of researchers, community advocates, and a technology partner embarked on a two-year seed development project that focused on development, implementation, and evaluation of a web-based healthy lifestyle intervention for college students. Using a mixed-method design, two convenience samples of residential university students were recruited to participate in a 4-week intervention called Eat, Move, Live, in which they interacted with a newly-created comprehensive website about management of a healthy lifestyle. Participants’ post-intervention readiness for change increased by 15% (eating and life balance behaviors) to 23% (moving behaviors). Participants reported increased awareness of eating behaviors, and feelings of engagement in tracking their fruit and vegetable consumption. Findings suggest that technology may be utilized to enhance the effectiveness and efficiency of achieving students’ individual goals related to healthy living. These preliminary findings have implications for increasing the development and implementation of technological approaches to health promotion for young adult students.


2013 ◽  
Vol 29 (5) ◽  
pp. 879-888 ◽  
Author(s):  
Marle dos Santos Alvarenga ◽  
Bárbara Hatzlhoffer Lourenço ◽  
Sonia Tucunduva Philippi ◽  
Fernanda Baeza Scagliusi

This study aimed to investigate the socioeconomic and nutritional factors associated with disordered eating among Brazilian female college students (n = 2,489). Prevalence ratios of risk factors were calculated using Poisson regression models with robust variance based on responses to selected questions from the Eating Attitude Test and Disordered Eating Attitude Scale. It was found that 40.7% of students were dieting, 35.6% were using diet or compensatory methods, 23.9% skipping meals, 12.6% not eating or just drinking liquids, and 3.3%, vomiting to lose weight. A positive association was found between not eating or just drinking liquids and skipping meals and nutritional status after adjustment for age and region. A positive association was found between compensatory methods and dieting and education level of the head of the family. Disordered eating behaviors were frequent, and not eating and skipping meals were more prevalent among overweight/obese students; compensatory methods and dieting were less prevalent among students from families whose head had up to only four years of education. Prevention strategies and food education are necessary in order to decrease the prevalence of these behaviors.


Sign in / Sign up

Export Citation Format

Share Document