scholarly journals Diet Quality of First Semester Southeastern College Students and the Impact of COVID-19

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 258-258
Author(s):  
Zhiping Yu ◽  
Paul Fuglestad ◽  
Veruska Gonzalez
Keyword(s):  
College Students ◽  
Diet Quality ◽  
Eating Behaviors ◽  
Healthy Eating Index ◽  
National Average ◽  
First Semester ◽  
Funding Sources ◽  
Unhealthy Eating ◽  
The Impact

Abstract Objectives Studies have reported poor food choices and unhealthy eating behaviors among college students. The purpose of this study was to assess the diet quality of college freshmen and the impact of the COVID-19 pandemic. Methods Freshman students 18 years or older in all majors in a southeastern university were invited to take the Diet History Questionnaire III (DHQ III) in fall 2019 and in fall 2020. The Healthy Eating Index (HEI) scores from the participants were obtained and compared to the HEI-2015 national averages through one-sample t-tests. Results Thirty students in fall 2019 cohort (86.7% female, 46.7% white) and 55 students in fall 2020 cohort (78.2% female, 63.5% white) completed the survey. Compared to national average data, participants in the current study had higher total HEI scores (60.9 vs. 58.3, P < 0.05), higher total fruits scores (3.8 vs. 2.6, P < 0.001), higher dairy scores (6.4 vs. 5.4, P < 0.001), but lower total protein scores (4.1 vs. 5.0, P < 0.001), lower seafood and plant protein scores (3.6 vs. 5.0, P < 0.001), higher refined grains scores (8.0 vs. 6.7, P < 0.001), and higher sodium scores (4.7 vs. 3.4, P < 0.001). Just examining the 2020 cohort of students, after the onset of the COVID-19 pandemic, the overall HEI scores were lower and not significantly different from the national average (P > 0.05) and HEI fatty acids scores were lower (3.7 vs. 4.5, P < 0.05). Conclusions The diet quality of freshman college students remains inadequate and interventions are needed to prevent or postpone the health problems especially during the COVID-19 pandemic. Funding Sources Brooks College of Health, University of North Florida

scholarly journals Examining the Relationship Between Intuitive Eating and Diet Quality Among College Students

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 1290-1290
Author(s):  
Julia Borelli ◽  
Giselle Pereira Pignotti ◽  
Adrianne Widaman
Keyword(s):  
College Students ◽  
Diet Quality ◽  
Online Survey ◽  
Eating Behaviors ◽  
Cross Sectional Study ◽  
Healthy Eating Index ◽  
Intuitive Eating ◽  
Cross Sectional ◽  
Funding Sources ◽  
Study Participants

Abstract Objectives College students in the US tend to have low diet quality due to a confluence of interpersonal, intrapersonal, and environmental factors. Restrictive dieting is commonly used for weight management but often ineffective in the long term and can lead to dangerous eating behaviors. Intuitive eating is an adaptive form of eating that has gained interest as an alternative to restrictive dieting due to its successful use in eating disorder recovery and correlation with decreased body mass index in healthy populations. The objective of the current study was to identify if higher intuitive eating, as measured by the intuitive eating scale (IES-2), correlated with increased diet quality, as measured by the Healthy Eating Index 2015 (HEI-2015) in a college sample. Methods In this cross-sectional study, participants completed an online survey containing the IES-2 questionnaire which provides a total score for intuitive eating and four subscale scores representing the main behaviors of intuitive eating. The dietary intake of participants was assessed with up to three 24-hour diet recalls, which were completed over the phone. A total of 55 participants (40 females and 15 males) completed the survey and a minimum of two 24-hour diet recalls, which were used to calculate the HEI-2015. Independent sample t-test and Pearson's correlation were used for statistical analysis. Results The total IES-2 scores were higher for males than females (82.9 ± 8.1 vs. 76.3 ± 11.2, P = 0.04). The average total HEI-2015 score was 59.5 ± 15.1 and did not differ between gender (P = 0.93). The total IES-2 score was not significantly correlated with the total HEI scores (r = −0.218, P = 0.11), and one subscale of the IES-2, the Unconditional Permission to Eat subscale, was negatively correlated with the total HEI score (r = −0.418, P < 0.01) and BMI (r = −0.335, P < 0.05). Conclusions The results of the study do not support that intuitive eating is correlated with diet quality, furthermore, increased scores of the Unconditional Permission to Eat subscale of intuitive eating was correlated with a lower diet quality suggesting that intuitive eating and diet quality may be separate constructs that should be addressed individually. Funding Sources None.

scholarly journals A lipid-related metabolomic pattern of diet quality

2020 ◽  
Vol 112 (6) ◽  
pp. 1613-1630
Author(s):  
Minoo Bagheri ◽  
Walter Willett ◽  
Mary K Townsend ◽  
Peter Kraft ◽  
Kerry L Ivey ◽  
...  
Keyword(s):  
Diet Quality ◽  
Eating Behaviors ◽  
Principal Component ◽  
Cross Sectional Study ◽  
Healthy Eating Index ◽  
Health Study ◽  
Linear Regression Models ◽  
Cross Sectional ◽  
Unhealthy Eating ◽  
Complementary Approach

ABSTRACT Background Adherence to a healthy diet has been associated with reduced risk of chronic diseases. Identifying nutritional biomarkers of diet quality may be complementary to traditional questionnaire-based methods and may provide insights concerning disease mechanisms and prevention. Objective To identify metabolites associated with diet quality assessed via the Alternate Healthy Eating Index (AHEI) and its components. Methods This cross-sectional study used FFQ data and plasma metabolomic profiles, mostly lipid related, from the Nurses’ Health Study (NHS, n = 1460) and Health Professionals Follow-up Study (HPFS, n = 1051). Linear regression models assessed associations of the AHEI and its components with individual metabolites. Canonical correspondence analyses (CCAs) investigated overlapping patterns between AHEI components and metabolites. Principal component analysis (PCA) and explanatory factor analysis were used to consolidate correlated metabolites into uncorrelated factors. We used stepwise multivariable regression to create a metabolomic score that is an indicator of diet quality. Results The AHEI was associated with 83 metabolites in the NHS and 96 metabolites in the HPFS after false discovery rate adjustment. Sixty-three of these significant metabolites overlapped between the 2 cohorts. CCA identified “healthy” AHEI components (e.g., nuts, whole grains) and metabolites (n = 27 in the NHS and 33 in the HPFS) and “unhealthy” AHEI components (e.g., red meat, trans fat) and metabolites (n = 56 in the NHS and 63 in the HPFS). PCA-derived factors composed of highly saturated triglycerides, plasmalogens, and acylcarnitines were associated with unhealthy AHEI components while factors composed of highly unsaturated triglycerides were linked to healthy AHEI components. The stepwise regression analysis contributed to a metabolomics score as a predictor of diet quality. Conclusion We identified metabolites associated with healthy and unhealthy eating behaviors. The observed associations were largely similar between men and women, suggesting that metabolomics can be a complementary approach to self-reported diet in studies of diet and chronic disease.

scholarly journals Effect of a Food Scholarship Program on Food Security Status and Diet Quality of College Students (P04-069-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Carolyn Moore ◽  
Torrey Alexis ◽  
Jayna Dave ◽  
Derek Miketinas ◽  
Tzu-An Chen
Keyword(s):  
College Students ◽  
Food Security ◽  
Diet Quality ◽  
Short Form ◽  
Healthy Eating Index ◽  
Food Bank ◽  
Food Security Status ◽  
Scholarship Program ◽  
The Impact ◽  
Component Scores

Abstract Objectives To determine how food insecurity is associated with overall diet quality in college students following the implementation of a new food scholarship program. Changes of Healthy Eating Index (HEI) and food security status were compared over a 10-week period. Methods A new food scholarship program at Texas Woman's University in Houston provided students fresh fruits and vegetables, dairy and meat products, as well as non-perishable foods twice monthly. The Houston Food Bank donated all foods. Baseline and 10-week data were collected. Food security was measured with the USDA 6-item short form of the Food Security Survey Module. Total HEI-2015 and component scores were calculated from analysis of 3-day food records and compared by paired t-tests. ANCOVA estimated the impact of food security (high, low, very low) on HEI post scores, controlling for HEI baseline scores, age, gender, and race. Results Participants (n = 49) were primarily female (n = 38, 78%) with an average age of 28 ± 8 years. Ethnic/race distribution was 49% White, 27% Asian, 20% Black, and 4% other. Participants were primarily single (76%). Food security was low (31.9%) or very low (19.1%) at baseline; at post-test, participants reporting very low food secure dropped to 15.6%. Total HEI-2015 scores at baseline (55.9 ± 11.54) did not increase significantly after 10 weeks (57.7 ± 10.63) (P = 0.298). However, after 10 weeks, total vegetable scores significantly increased (2.64 ± 1.39 to 3.19 ± 1.33) (P = 0.023). There was no significant food security group effect (P = 0.49); however, there was a positive association between age and HEI post scores independent of the other model effects (β = 0.59 + 0.17; P = 0.001). Conclusions HEI-2015 total vegetable component scores increased with implementation of a food scholarship program. Nevertheless, many college students remained food insecure and overall diet quality needs improvement. Funding Sources Food donated by the Houston Food Bank.

scholarly journals P10 Evaluating Diet Quality of College Students Using the Healthy Eating Index

2019 ◽  
Vol 51 (7) ◽  
pp. S37
Author(s):  
Manal Sunbul ◽  
Pradtana Tapanee ◽  
Nicole Reeder ◽  
Samantha Sockwell ◽  
Allie Cowles ◽  
...  
Keyword(s):  
College Students ◽  
Healthy Eating ◽  
Diet Quality ◽  
Healthy Eating Index

Eating Behavior of Brazilian College Students: Influences of Lifestyle, Negative Affectivity, and Personal Characteristics

2020 ◽  
pp. 003151252098308
Author(s):  
Bianca G. Martins ◽  
Wanderson R. da Silva ◽  
João Marôco ◽  
Juliana A. D. B. Campos
Keyword(s):  
College Students ◽  
Eating Behavior ◽  
Emotional Eating ◽  
Eating Behaviors ◽  
Structural Model ◽  
Negative Affectivity ◽  
Personal Characteristics ◽  
Second Order ◽  
The Impact ◽  
The Relationship

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.

scholarly journals “You run out of hope:” An Exploration of Low-Income Parents’ Experiences with Food Insecurity using Photovoice

2021 ◽  
pp. 1-21
Author(s):  
Payge Lindow ◽  
Irene H. Yen ◽  
Mingyu Xiao ◽  
Cindy W. Leung
Keyword(s):  
Food Insecurity ◽  
San Francisco ◽  
Low Income ◽  
Eating Behaviors ◽  
Comparative Method ◽  
Well Being ◽  
Structured Interviews ◽  
Unhealthy Eating ◽  
Low Income Families ◽  
The Impact

ABSTRACT Objective: Using an adaption of the Photovoice method, this study explored how food insecurity affected parents’ ability to provide food for their family, their strategies for managing household food insecurity, and the impact of food insecurity on their well-being. Design: Parents submitted photos around their families’ experiences with food insecurity. Afterwards, they completed in-depth, semi-structured interviews about their photos. The interviews were transcribed and analyzed for thematic content using the constant comparative method. Setting: San Francisco Bay Area, California, USA. Subjects: 17 parents (14 mothers and 3 fathers) were recruited from a broader qualitative study on understanding the experiences of food insecurity in low-income families. Results: Four themes were identified from the parents’ photos and interviews. First, parents described multiple aspects of their food environment that promoted unhealthy eating behaviors. Second, parents shared strategies they employed to acquire food with limited resources. Third, parents expressed feelings of shame, guilt, and distress resulting from their experience of food insecurity. And finally, parents described treating their children to special foods to cultivate a sense of normalcy. Conclusions: Parents highlighted the external contributors and internal struggles of their experiences of food insecurity. Additional research to understand the experiences of the food-insecure families may help to improve nutrition interventions targeting this structurally vulnerable population.

Diet Quality of Preschoolers in Greece Based on the Healthy Eating Index: The GENESIS Study

2009 ◽  
Vol 109 (4) ◽  
pp. 616-623 ◽  
Author(s):  
Yannis Manios ◽  
Georgia Kourlaba ◽  
Katerina Kondaki ◽  
Evangelia Grammatikaki ◽  
Manolis Birbilis ◽  
...  
Keyword(s):  
Healthy Eating ◽  
Diet Quality ◽  
Healthy Eating Index

scholarly journals Nutritional intake and overall diet quality of female soccer players before the competition period

2016 ◽  
Vol 29 (4) ◽  
pp. 555-565 ◽  
Author(s):  
Daniel dos SANTOS ◽  
Jacqueline Queiroz da SILVEIRA ◽  
Thais Borges CESAR
Keyword(s):  
Nutritional Status ◽  
Dietary Intake ◽  
Healthy Eating ◽  
Diet Quality ◽  
Protein Quality ◽  
Healthy Eating Index ◽  
Soccer Players ◽  
Cross Sectional ◽  
Professional Soccer

ABSTRACT Objective: To assess the dietary intake and overall diet quality of female soccer players before the competitive games. Methods: This descriptive and cross-sectional study included 21 women aged 20.8±4.5 years from a professional soccer team. Their nutritional status and dietary adequacy during the training period, before competition season, were assessed. Dietary intake was assessed by three 24-hour recalls, one food frequency questionnaire, and the Healthy Eating Index, an overall diet quality index based on food group intake. Results: The athletes have shown proper nutritional status, but a diet deficient in energy due largely to low carbohydrate intake. On the other hand, the intakes of protein, fatty acids, and sodium were above the recommended intakes, even for athletes. Diet quality assessment by the Healthy Eating Index - 2010 resulted in a mean score of 54.6 points of a maximum of 100, indicating a need of improving the overall diet quality. Conclusion: The study found that the dietary patterns of female football players were both quantitatively and qualitatively inappropriate. A nutritional intervention is indicated to improve diet quality, with the inclusion of various foods, such as whole grains, fruits, vegetables, dairy products, and better protein quality, along with a reduction in saturated fats, sodium, and added sugar.

scholarly journals A cohort study on diet and the risk of Parkinson's disease: the role of food groups and diet quality

2012 ◽  
Vol 109 (2) ◽  
pp. 329-337 ◽  
Author(s):  
K. Sääksjärvi ◽  
P. Knekt ◽  
A. Lundqvist ◽  
S. Männistö ◽  
M. Heliövaara ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Diet Quality ◽  
Healthy Eating Index ◽  
Adjusted Relative Risk ◽  
Inverse Association ◽  
Food Groups ◽  
Incident Cases

Previous studies on individual foods and nutrients and Parkinson's disease (PD) risk have been inconsistent. Furthermore, only one study has examined the association between the quality of diet and PD. We investigated the prediction of food groups and diet quality on PD in the Finnish Mobile Clinic Survey (1966–72). The population comprised 4524 individuals, aged 40–79 years and free from PD at baseline. Data collection included health examinations, a questionnaire and a 1-year dietary history interview. A modified Alternate Healthy Eating Index was formed to assess diet quality. Statistical analyses were based on Cox's model. During a 41-year follow-up, eighty-five incident cases of PD occurred. No statistically significant associations were found between PD incidence and most of the food groups examined. A few exceptions were fruits and berries in men and milk in women, which showed positive associations. An inverse association between the intake of meat products and PD was found in women. The diet quality index did not predict PD, the adjusted relative risk between the highest and lowest quartiles being 1·83 (95 % CI 0·65, 5·18) in men and 0·97 (95 % CI 0·38, 2·48) in women. The present study suggests that since most of the single food groups or the quality of diet did not predict PD occurrence, the role of diet is apparently rather modest.

scholarly journals Role of alternate healthy eating index (AHEI) in communicating the quality of diet

2020 ◽  
Vol 11 (2) ◽  
pp. 96-102
Author(s):  
Krishna Mohandas ◽  
L. Prema
Keyword(s):  
Healthy Eating ◽  
Diet Quality ◽  
Dietary Habits ◽  
Mean Value ◽  
Healthy Eating Index ◽  
Overweight And Obesity ◽  
Food Groups ◽  
Good Tool ◽  
The Difference

The food habits of global population has been evolving in such a way that makes unhealthy foods cheaper and widely available and healthy foods costly and less available. Being surrounded by such foods and living in an environment with lesser requirement for physical activity is the primary reason for the pandemic explosion in overweight and obesity. This study is an attempt to analyze the quality of diet with an aim to study the significance of Alternate Healthy Eating Index (AHEI) in predicting the quality of dietary intake. Methodology: The study was conducted in 66 respondents (44 females and 22 males) aged 18-65 years with BMI between 23 kg/m2 to 50 kg/m2. The respondent’s data were collected using a pretested standard questionnaire. The nutrient consumption was calculated from the 24 hour recall and the AHEI scores were derived from recall and food use frequency data. The data were analysed using SAS software. Results: The intake of Energy, protein, fat and carbohydrates were more than their requirement while intake of fibre was not meeting the requirement. The AHEI scores obtained ranged from 36 to 76 with a mean value of 55.6 ± 9.54. A positive linear association for AHEI with BMI (0.0362) and energy intake (0.13) was established through Pearson’s correlation while the association was negative with BMR (-0.14). Paired t test comparing AHEI against the difference between intake and requirement of macronutrients revealed that when the diet quality was good (as indicated by AHEI>51), the difference in intake exhibited a significant linear relationship with p values <0.001 while no relation was established when the diet quality was poor. Conclusion: AHEI encompasses all nutrients and food groups relevant to metabolic health and it can be used as a good tool to assess the quality of dietary habits of overweight and obese subjects.

Sign in / Sign up

Export Citation Format

Share Document