Food Consumption and COVID-19 Risk Perception of University Students
Abstract
:1. Introduction
2. Materials and Methods
Statistical Analysis
3. Results
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- World Health Organization (WHO). Coronavirus Disease (COVID-19) Dashboard; WHO: Cham, Switzerland, 2020. [Google Scholar]
- Ferry, F.; Bunting, B.; Rosato, M.; Curran, E.; Leavey, G. The impact of reduced working on mental health in the early months of the COVID-19 pandemic: Results from the Understanding Society COVID-19 study. J. Affect. Disord. 2021, 287, 308–315. [Google Scholar] [CrossRef] [PubMed]
- Touyz, S.; Lacey, H.; Hay, P. Eating disorders in the time of COVID-19. J. Eat. Disord. 2020, 8, 1–3. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- World Health Organization (WHO). COVID-19 Disrupting Mental Health Services in Most Countries, WHO Survey; WHO: Cham, Switzerland, 2020. [Google Scholar]
- Cedeño, N.J.V.; Cuenca MF, V.; Mojica Á, A.D.; Portillo, M. Afrontamiento del COVID-19: Estrés, miedo, ansiedad y depresión. Enfermería Investig. 2020, 5, 63–70. [Google Scholar] [CrossRef]
- Vergara Castañeda, A.; Lobato Lastiri, M.F.; Díaz Gay, M.; Ayala Moreno, M.D.R. Cambios en el comportamiento alimentario en la era del COVID-19. RELAIS 2020, 3, 27–30. [Google Scholar]
- Rishi, P.; Thakur, K.; Vij, S.; Rishi, L.; Singh, A.; Kaur, I.P.; Sanjay, K.S.; Patel, J.-K.L.; Kalia, V.C. Diet, gut microbiota and COVID-19. Indian J. Microbiol. 2020, 60, 420–429. [Google Scholar] [CrossRef]
- Dudek, M.; Śpiewak, R. Effects of the COVID-19 Pandemic on Sustainable Food Systems: Lessons Learned for Public Policies? The Case of Poland. Agriculture 2022, 12, 61. [Google Scholar] [CrossRef]
- Clemente-Suárez, V.J.; Ramos-Campo, D.J.; Mielgo-Ayuso, J.; Dalamitros, A.A.; Nikolaidis, P.A.; Hormeño-Holgado, A.; Tornero-Aguilera, J.F. Nutrition in the Actual COVID-19 Pandemic. A Narrative Review. Nutrients 2021, 13, 1924. [Google Scholar] [CrossRef]
- Batlle-Bayer, L.; Aldaco, R.; Bala, A.; Puig, R.; Laso, J.; Margallo, M.; Vázquez-Rowe, I.; Antó, J.M.; Fullana-i-Palmer, P. Environmental and Nutritional Impacts of Dietary Changes in Spain during the COVID-19 Lockdown. Sci. Total Environ. 2020, 748, 141410. [Google Scholar] [CrossRef]
- Muscogiuri, G.; Barrea, L.; Savastano, S.; Colao, A. Nutritional Recommendations for COVID-19 Quarantine. Eur. J. Clin. Nutr. 2020, 74, 850–851. [Google Scholar] [CrossRef]
- Rundle, A.G.; Park, Y.; Herbstman, J.B.; Kinsey, E.W.; Wang, Y.C. COVID-19–Related School Closings and Risk of Weight Gain among Children. Obesity 2020, 28, 1008–1009. [Google Scholar] [CrossRef] [Green Version]
- Ruiz-Roso, M.B.; de Carvalho Padilha, P.; Mantilla-Escalante, D.C.; Ulloa, N.; Brun, P.; Acevedo-Correa, D.; Arantes Ferreira Peres, W.; Martorell, M.; Aires, M.T.; de Oliveira Cardoso, L. COVID-19 Confinement and Changes of adolescent’s Dietary Trends in Italy, Spain, Chile, Colombia and Brazil. Nutrients 2020, 12, 1807. [Google Scholar] [CrossRef] [PubMed]
- Gasmi, A.; Noor, S.; Tippairote, T.; Dadar, M.; Menzel, A.; Bjørklund, G. Individual Risk Management Strategy and Potential Therapeutic Options for the COVID-19 Pandemic. Clin. Immunol. 2020, 215, 108409. [Google Scholar] [CrossRef] [PubMed]
- Bhaskaram, P. Micronutrient Malnutrition, Infection, and Immunity: An Overview. Nutr. Rev. 2002, 60, S40–S45. [Google Scholar] [CrossRef] [PubMed]
- Fernandez, M.L.; Raheem, D.; Ramos, F.; Carrascosa, C.; Saraiva, A.; Raposo, A. Highlights of Current Dietary Guidelines in Five Continents. Int. J. Environ. Res. Public Health 2021, 18, 2814. [Google Scholar] [CrossRef] [PubMed]
- Mendoza-Castejón, D.; Clemente-Suárez, V.J. Autonomic Profile, Physical Activity, Body Mass Index and Academic Performance of School Students. Sustainability 2020, 12, 6718. [Google Scholar] [CrossRef]
- Błaszczyk-Bębenek, E.; Jagielski, P.; Bolesławska, I.; Jagielska, A.; Nitsch-Osuch, A.; Kawalec, P. Nutrition Behaviors in Polish Adults before and during COVID-19 Lockdown. Nutrients 2020, 12, 3084. [Google Scholar] [CrossRef] [PubMed]
- Mikolajczyk, R.T.; El Ansari, W.; Maxwell, A.E. Food consumption frequency and perceived stress and depressive symptoms among students in three European countries. Nutr. J. 2009, 8, 1–8. [Google Scholar] [CrossRef] [Green Version]
- Shivappa, N.; Schoenaker, D.A.; Hebert, J.R.; Mishra, G.D. Association between inflammatory potential of diet and risk of depression in middle-aged women: The Australian Longitudinal Study on Women’s Health. Br. J. Nutr. 2016, 116, 1077–1086. [Google Scholar] [CrossRef] [Green Version]
- Clemente-Suárez, V.J. Multidisciplinary intervention in the treatment of mixed anxiety and depression disorder. Physiol. Behav. 2020, 219, 112858. [Google Scholar] [CrossRef]
- Lane, M.M.; Davis, J.A.; Beattie, S.; Gómez-Donoso, C.; Loughman, A.; O’Neil, A.; Jacka, F.; Berk, M.; Page, R.; Marx, W.; et al. Ultraprocessed food and chronic noncommunicable diseases: A systematic review and meta-analysis of 43 observational studies. Obes. Rev. 2021, 22, e13146. [Google Scholar] [CrossRef]
- Martín-Rodríguez, A.; Tornero-Aguilera, J.F.; López-Pérez, P.J.; Clemente-Suárez, V.J. The Effect of Loneliness in Psychological and Behavioral Profile among High School Students in Spain. Sustainability 2022, 14, 168. [Google Scholar] [CrossRef]
- Rammstedt, B.; John, O.P. Measuring personality in one minute or less: A 10-item short version of the Big Five Inventory in English and German. J. Res. Personal. 2007, 41, 203–212. [Google Scholar] [CrossRef]
- Van Knippenberg, F.C.E.; Duivenvoorden, H.J.; Bonke, B.; Passchier, J. Shortening the state-trait anxiety inventory. J. Clin. Epidemiol. 1990, 43, 995–1000. [Google Scholar] [CrossRef] [Green Version]
- Bond, F.W.; Hayes, S.C.; Baer, R.A.; Carpenter, K.M.; Guenole, N.; Orcutt, H.K.; Waltz, T.; Zettle, R.D. Preliminary psychometric properties of the Acceptance and Action Questionnaire–II: A revised measure of psychological inflexibility and experiential avoidance. Behav. Ther. 2011, 42, 676–688. [Google Scholar] [CrossRef] [Green Version]
- Russell, D.W. UCLA Loneliness Scale (Version 3): Reliability, validity, and factor structure. J. Personal. Assess. 1996, 66, 20–40. [Google Scholar] [CrossRef]
- Zung, W.W. A self-rating depression scale. Arch. Gen. Psychiatry 1965, 12, 63–70. [Google Scholar] [CrossRef]
- Fountoulakis, K.N.; Iacovides, A.; Samolis, S.; Kleanthous, S.; Kaprinis, S.G.; Kaprinis, G.S.; Bech, P. Reliability, validity and psychometric properties of the Greek translation of the zung depression rating scale. BMC Psychiatry 2001, 1, 6. [Google Scholar] [CrossRef] [Green Version]
- Welle, P.D.; Graf, H.M. Effective lifestyle habits and coping strategies for stress tolerance among college students. Am. J. Health Educ. 2011, 42, 96–105. [Google Scholar] [CrossRef]
- López-Azpiazu, I.; Sánchez-Villegas, A.; Johansson, L.; Petkeviciene, J.; Prattala, R.; Martínez-González, M.A. Disparities in food habits in Europe: Systematic review of educational and occupational differences in the intake of fat. J. Hum. Nutr. Diet. 2003, 16, 349–364. [Google Scholar] [CrossRef]
- López Nomdedeu, C. Los Hábitos Alimentarios: Educación y Desarrollo. In Alimentación y Nutrición; Manual Teórico-Práctico; Díaz de Santos: Madrid, Spain, 1998; pp. 267–272. [Google Scholar]
- Colić Barić, I.; Šatalić, Z.; Lukešić, Ž. Nutritive value of meals, dietary habits and nutritive status in Croatian university students according to gender. Int. J. Food Sci. Nutr. 2003, 54, 473–484. [Google Scholar] [CrossRef]
- Steptoe, A.; Wardle, J.; Cui, W.; Bellisle, F.; Zotti, A.M.; Baranyai, R.; Sanderman, R. Trend in smoking, diet, physical exercise and attitudes toward Health in European University students from 13 countries, 1990–2000. Prev. Med. 2002, 35, 97–104. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Hu, F.B.; Rimm, E.B.; Stampfer, M.J.; Ascherio, A.; Spiegelman, D.; Willett, W.C. Prospective study of major dietary patterns and risk of coronary heart disease in men. Am. J. Clin. Nutr. 2000, 72, 912–921. [Google Scholar] [CrossRef] [PubMed]
- Tarasuk, V. Present Knowledge in Nutrition, 7th ed.; International Life Sciences Institute Press: Washington, DC, USA, 1996; pp. 508–516. [Google Scholar]
- Arroyo Izaga, M.; Rocandio Pablo, A.M.; Ansotegui Alday, L.; Pascual Apalauza, E.; Salces Beti, I.; Rebato Ochoa, E. Calidad de la dieta, sobrepeso y obesidad en estudiantes universitarios. Nutr. Hosp. 2006, 21, 673–679. [Google Scholar] [PubMed]
- Ruiz Moreno, E.; Del Pozo de la Calle, S.; Valero Gaspar, T.; Ávila Torres, J.M.; Varela-Moreiras, G. Estudio de Hábitos Alimentarios y Estilos de Vida de Los Universitarios Españoles; Patrón de Consumo de Bebidas Fermentadas; Fundación Española de la Nutrición (FEN): Madrid, Spain, 2012. [Google Scholar]
- Cervera Burriel, F.; Serrano Urrea, R.; Vico García, C.; Milla Tobarra, M.; García Meseguer, M.J. Hábitos alimentarios y evaluación nutricional en una población universitaria. Nutr. Hosp. 2013, 28, 438–446. [Google Scholar] [PubMed]
- De Piero, A.; Bassett, N.; Rossi, A.; Sammán, N. Tendencia en el consumo de alimentos de estudiantes universitarios. Nutr. Hosp. 2015, 31, 1824–1831. [Google Scholar] [PubMed]
- Sánchez Socarrás, V.; Aguilar Martínez, A. Hábitos alimentarios y conductas relacionadas con la salud en una población universitaria. Nutr. Hosp. 2015, 31, 449–457. [Google Scholar]
- Pérez-Rodrigo, C.; Citores, M.G.; Hervás Bárbara, G.; Litago, F.R.; Casis Sáenz, L.; Aranceta-Bartrina, J.; Grupo Colaborativo de la Sociedad Española de Nutrición Comunitaria (SENC). Cambios en los hábitos alimentarios durante el periodo de confinamiento por la pandemia COVID-19 en España. Rev. Esp. Nutr. Comunitaria 2020, 26, 28010. [Google Scholar]
- Almendra-Pegueros, R.; Baladia, E.; Contreras, C.R.; Cárdenas, P.R.; Martí, A.V.; Osorio, J.M.; Apolinar Jiménez, E.; Lazzara López, A.; Buhring Bonacich, K.; Nessier, M.; et al. Conducta alimentaria durante el confinamiento por COVID-19 (CoV-Eat Project): Protocolo de un estudio transversal en países de habla hispana. Rev. Nutr. Clín. Metab. 2021, 4, 150–156. [Google Scholar] [CrossRef]
- Ammar, A.; Brach, M.; Trabelsi, K.; Chtourou, H.; Boukhris, O.; Masmoudi, L.; Bouaziz, B.; Bentlage, E.; How, D.; Ahmed, M.; et al. Effects of COVID-19 home confinement on eating behaviour and physical activity: Results of the ECLB-COVID19 International online survey. Nutrients 2020, 12, 1583. [Google Scholar] [CrossRef]
- Deschasaux-Tanguy, M.; Druesne-Pecollo, N.; Esseddik, Y.; Szabo de Edelenyi, F.; Allès, B.; Andreeva, V.A.; Baudry, J.; Charreire, H.; Deschamps, V.; Egnell, M.; et al. Diet and physical activity during the COVID-19 lockdown period (March–May 2020): Results from the French NutriNet-Sante cohort study. Am. J. Clin. Nutr. 2021, 113, 1–21. [Google Scholar]
- Ruíz-Roso, M.B.; de Carvalho Padilha, P.; Matilla-Escalante, D.C.; Brun, P.; Ulloa, N.; Acevedo-Correa, D.; Arantes Ferreira Peres, W.; Martorell, M.; Rangel Bousquet Carrilho, T.; de Oliveira Cardoso, L.; et al. Changes of physical activity and ultra-processed food consumption in adolescents from different countries during COVID-19 pandemic: An observational study. Nutrients 2020, 12, 2289. [Google Scholar] [CrossRef] [PubMed]
- Ramón Arbués, E.; Martínez Abadía, B.; Granada López, J.M.; Echániz Serrano, E.; Pellicer García, B.; Juárez Vela, R.; Portillo, S.G.; Sáez Guinoa, M. Conducta alimentaria y su relación con el estrés, la ansiedad, la depresión y el insomnio en estudiantes universitarios. Nutr. Hosp. 2019, 36, 1339–1345. [Google Scholar] [PubMed] [Green Version]
- Gibson-Smith, D.; Bot, M.; Brouwer, I.A.; Visser, M.; Giltay, E.J.; Penninx, B.W. Association of food groups with depression and anxiety disorders. Eur. J. Nutr. 2020, 59, 767–778. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Sanchez-Villegas, A.; Galbete, C.; Martinez-Gonzalez, M.A.; Martinez, J.A.; Razquin, C.; Salas-Salvado, J.; Estruch, R.; Buil-Cosiales, P.; Martí, A. The effect of the Mediterranean diet on plasma brain-derived neurotrophic factor (BDNF) levels: The PREDIMED-NAVARRA randomized trial. Nutr. Neurosci. 2011, 14, 195–201. [Google Scholar] [CrossRef] [PubMed]
- Gomez-Pinilla, F. Brain foods: The effects of nutrients on brain function. Nat. Rev. Neurosci. 2008, 9, 568e78. [Google Scholar] [CrossRef] [Green Version]
- Mujcic, R.; Oswald, A.J. Evolution of Well-Being and Happiness After Increases in Consumption of Fruit and Vegetables. Am. J. Public Health 2016, 106, 1504–1510. [Google Scholar] [CrossRef]
- Romo-Romo, A.; Reyes, C.; Janka-Zires, M.; Almeda-Valdés, P. El rol de la nutrición en la enfermedad por coronavirus 2019 (COVID-19). The role of nutrition in the coronavirus disease 2019 (COVID-19). Rev. Mex. Endocrinol. Metab. Nutr. 2020, 7, 132–143. [Google Scholar] [CrossRef]
- Sudriá, M.E.; Andreatta, M.M.; Defagó, M. Los efectos de la cuarentena por coronavirus (COVID-19) en los hábitos alimentarios en Argentina. DIAETA 2020, 38, 10–19. [Google Scholar]
- Clemente, F.M.; Nikolaidis, P.T.; Martins, F.M.L.; Mendes, R.S. Physical activity patterns in university students: Do they follow the public health guidelines? PLoS ONE 2016, 11, e0152516. [Google Scholar] [CrossRef]
- Valenzuela, M.C.S.; Gallegos, L.I.F.; Baca, L.R.L.; López, H.L.M.; Rico, F.J.F. Estrés académico en universitarios y la práctica de ejercicio físico-deportivo. Rev. Publicando 2021, 8, 1–8. [Google Scholar] [CrossRef]
- Clemente-Suárez, V.J.; Navarro-Jiménez, E.; Jimenez, M.; Hormeño-Holgado, A.; Martinez-Gonzalez, M.B.; Benitez-Agudelo, J.C.; Perez-Palencia, N.; Laborde-Cárdenas, C.C.; Tornero-Aguilera, J.F. Impact of COVID-19 pandemic in public mental health: An extensive narrative review. Sustainability 2021, 13, 3221. [Google Scholar] [CrossRef]
- Clemente-Suárez, V.J.; Navarro-Jiménez, E.; Ruisoto, P.; Dalamitros, A.A.; Beltran-Velasco, A.I.; Hormeño-Holgado, A.; Laborde-Cárdenas, C.C.; Tornero-Aguilera, J.F. Performance of Fuzzy Multi-Criteria Decision Analysis of Emergency System in COVID-19 Pandemic. An Extensive Narrative Review. Int. J. Environ. Res. Public Health 2021, 18, 5208. [Google Scholar] [CrossRef] [PubMed]
- Clemente-Suárez, V.J.; Martínez-González, M.B.; Benitez-Agudelo, J.C.; Navarro-Jiménez, E.; Beltran-Velasco, A.I.; Ruisoto, P.; Diaz Arroyo, E.; Laborde-Cárdenas, C.C.; Tornero-Aguilera, J.F. The impact of the COVID-19 pandemic on mental disorders. A critical review. Int. J. Environ. Res. Public Health 2021, 18, 10041. [Google Scholar] [CrossRef] [PubMed]
- Rodriguez-Besteiro, S.; Tornero-Aguilera, J.F.; Fernández-Lucas, J.; Clemente-Suárez, V.J. Gender differences in the COVID-19 pandemic risk perception, psychology and behaviors of spanish university students. Int. J. Environ. Res. Public Health 2021, 18, 3908. [Google Scholar] [CrossRef] [PubMed]
- Martín-Rodríguez, A.; Tornero-Aguilera, J.F.; López-Pérez, P.J.; Clemente-Suárez, V.J. Gender differences in nutritional, odontological and psychological patterns of adolescent students during COVID-19 pandemic. Appl. Sci. 2021, 11, 8499. [Google Scholar] [CrossRef]
- Clemente-Suárez, V.J.; Navarro-Jiménez, E.; Moreno-Luna, L.; Saavedra-Serrano, M.C.; Jimenez, M.; Simón, J.A.; Tornero-Aguilera, J.F. The Impact of the COVID-19 Pandemic on Social, Health, and Economy. Sustainability 2021, 13, 6314. [Google Scholar] [CrossRef]
95% Confidence Interval of the Difference | ||||||
---|---|---|---|---|---|---|
Variable | PDG | NPGD | t | p | Lower | Upper |
Age (years) | 20.26 ± 3.07 | 21.78 ± 4.12 | −4.536 | >0.001 | −2.180 | −0.862 |
Height (cm) | 164.56 ± 9.19 | 165.36 ± 9.19 | −0.983 | 0.326 | −2.402 | 0.800 |
Weight (kg) | 62.63 ± 13.72 | 61.83 ± 11.52 | 0.711 | 0.478 | −1.406 | 3.001 |
Body Mass Index (kg/m2) | 23.01 ± 3.90 | 22.57 ± 3.58 | 1.302 | 0.194 | −0.221 | 1.091 |
95% Confidence Interval of the Difference | ||||||
---|---|---|---|---|---|---|
Variable | PDG | NPDG | t | p | Lower | Upper |
Average mark | 3.98 ± 0.26 | 3.99 ± 0.26 | −0.383 | 0.702 | −0.056 | 0.037 |
Regarding your work. have you been affected by the COVID-19 crisis? | 2.54 ± 0.65 | 2.38 ± 0.76 | 2.161 | 0.031 | 0.014 | 0.309 |
Level of perceived risk in the COVID-19 virus | 7.92 ± 2.46 | 7.12 ± 2.28 | 3.796 | >0.001 | 0.388 | 1.221 |
How do you think the COVID-19 crisis will affect your academic performance? | 3.30 ± 1.24 | 3.53 ± 1.33 | −1.933 | 0.054 | −0.454 | 0.003 |
How has the COVID-19 crisis affected you personally? | 6.83 ± 2.10 | 6.64 ± 2.34 | 0.973 | 0.331 | −0.200 | 0.595 |
Degree of confinement compliance due to the COVID-19 crisis | 8.26 ± 1.83 | 7.74 ± 2.10 | 2.879 | 0.004 | 0.164 | 0.869 |
How many people have you lived with in confinement? | 4.22 ± 1.35 | 3.77 ± 1.40 | 3.592 | >0.001 | 0.202 | 0.690 |
How many hours do you sleep on average per day? | 4.13 ± 1.73 | 4.08 ± 1.84 | 0.317 | 0.752 | −0.266 | 0.369 |
Quality of your sleep | 6.87 ± 2.26 | 6.71 ± 2.15 | 0.839 | 0.402 | −0.222 | 0.554 |
Variable | PDG | NPDG | t | p |
---|---|---|---|---|
How many meals did you take on average during your confinement? | 4.49 ± 1.45 | 4.49 ± 1.26 | 0.002 | 0.998 |
How many glasses of water do you drink per day? | 4.16 ± 1.59 | 4.19 ± 1.56 | −0.189 | 0.850 |
Juices (mL) | 735 ± 250 | 452.5 ± 232.5 | 12.907 | >0.001 |
Alcoholic Beverage (mL) | 265 ± 60 | 272.5 ± 90 | −1.221 | 0.223 |
Fermented beverage (mL) | 275 ± 90 | 267.5 ± 72.5 | 0.738 | 0.461 |
Soft drinks (mL) | 507.5 ± 0.232.5 | 382.5 ± 182.5 | 6.626 | >0.001 |
Energy Drink (mL) | 262.5 ± 65 | 257.5 ± 52.5 | 0.546 | 0.585 |
Fruit (g) | 242.1 ± 81.9 | 173.7 ± 72.9 | 9.622 | >0.001 |
Bakery/Sweets (g) | 200.7 ± 76.5 | 138.6 ± 59.4 | 9.745 | >0.001 |
Meat (g) | 463.5 ± 117 | 340 ± 0.142.5 | 10.111 | >0.001 |
Fish (g) | 357 ± 148.5 | 265.5 ± 120 | 7.399 | >0.001 |
Legume (g) | 488 ± 198 | 384 ± 168 | 6.115 | >0.001 |
Pasta or rice (g) | 517.5 ± 91.5 | 357 ± 148.5 | 13.743 | >0.001 |
Vegetables (g) | 604 ± 180 | 460 ± 194 | 8.235 | >0.001 |
Bread (g) | 160 ± 36.5 | 100 ± 41.5 | 16.359 | >0.001 |
Fast food (g) | 370.8 ± 185.4 | 282.6 ± 138.6 | 5.961 | >0.001 |
95% Confidence Interval of the Difference | ||||||
---|---|---|---|---|---|---|
Variable | PDG | NPDG | t | p | Lower | Upper |
Extraversion | 4.57 ± 1.68 | 4.82 ± 1.53 | −1.715 | 0.087 | −0.529 | 0.036 |
Agreeableness | 6.37 ± 1.60 | 6.13 ± 1.46 | 1.774 | 0.077 | −0.026 | 0.512 |
Conscientiousness | 6.75 ± 1.73 | 6.77 ± 1.59 | −0.106 | 0.916 | −0.308 | 0.277 |
Neuroticism | 6.62 ± 1.85 | 6.55 ± 1.86 | 0.440 | 0.660 | −0.255 | 0.403 |
Openness to experience | 7.5 ± 1.53 | 7.20 ± 1.54 | 2.774 | 0.006 | 0.112 | 0.655 |
AAQII | 23.26 ± 10.57 | 25.10 ± 10.19 | −1.396 | 0.163 | −1.151 | 0.195 |
UCLA | 4.91 ± 1.67 | 5.14 ± 1.68 | −1.976 | 0.049 | −3.666 | −0.011 |
STAI | 13.16 ± 3.99 | 13.64 ± 3.67 | −1.518 | 0.130 | −0.526 | 0.068 |
ZUNG | 48.32 ± 5.33 | 49.83 ± 5.23 | −3.178 | 0.002 | −2.438 | −0.575 |
Average steps per day in the last week? | 2187.14 ± 3719.03 | 2455.73 ± 6160.36 | −0.565 | 0.572 | −1201.844 | 664.657 |
Did you do any physical activity in the last 7 days? | 1.54 ± 0.49 | 1.59 ± 0.49 | −1.080 | 0.281 | −0.135 | 0.039 |
Minutes of cyclic and/or aerobic activity | 183.22 ± 205.19 | 171.61 ± 198.87 | 0.405 | 0.686 | −44.943 | 68.168 |
Minutes of activity with self-loading or weights | 125.92 ± 159.81 | 164.87 ± 238.77 | −1.363 | 0.174 | −95.274 | 17.368 |
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Rodriguez-Besteiro, S.; Valencia-Zapata, G.; Beltrán de la Rosa, E.; Clemente-Suárez, V.J. Food Consumption and COVID-19 Risk Perception of University Students. Sustainability 2022, 14, 1625. https://doi.org/10.3390/su14031625
Rodriguez-Besteiro S, Valencia-Zapata G, Beltrán de la Rosa E, Clemente-Suárez VJ. Food Consumption and COVID-19 Risk Perception of University Students. Sustainability. 2022; 14(3):1625. https://doi.org/10.3390/su14031625
Chicago/Turabian StyleRodriguez-Besteiro, Stephanie, Gabriel Valencia-Zapata, Elisama Beltrán de la Rosa, and Vicente Javier Clemente-Suárez. 2022. "Food Consumption and COVID-19 Risk Perception of University Students" Sustainability 14, no. 3: 1625. https://doi.org/10.3390/su14031625
APA StyleRodriguez-Besteiro, S., Valencia-Zapata, G., Beltrán de la Rosa, E., & Clemente-Suárez, V. J. (2022). Food Consumption and COVID-19 Risk Perception of University Students. Sustainability, 14(3), 1625. https://doi.org/10.3390/su14031625