Evaluation of the Dietary Habits of Polish and Greek University Students in the Context of the Health Benefits of Their Diets
Abstract
:1. Introduction
2. Materials and Methods
3. Results
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Li, B.; Tang, X.; Le, G. Dietary Habits and Metabolic Health. Nutrients 2023, 15, 3975. [Google Scholar] [CrossRef] [PubMed]
- De Toro-Martín, J.; Arsenault, B.J.; Després, J.P.; Vohl, M.C. Precision Nutrition: A Review of Personalized Nutritional Approaches for the Prevention and Management of Metabolic Syndrome. Nutrients 2017, 9, 913. [Google Scholar] [CrossRef] [PubMed]
- Geraets, A.F.J.; Heinz, A. The associations of dietary habits with health, well-being, and behavior in adolescents: A cluster analysis. Child Care Health Dev. 2023, 49, 497–507. [Google Scholar] [CrossRef] [PubMed]
- Loughman, A.; Staudacher, H.M.; Rocks, T.; Ruusunen, A.; Marx, W.; Apos, O.; Neil, A.; Jacka, F.N. Diet and Mental Health. Mod. Trends Psychiatry 2021, 32, 100–112. [Google Scholar] [CrossRef]
- van den Hooven, E.H.; Heppe, D.H.; Kiefte-de Jong, J.C.; Medina-Gomez, C.; Moll, H.A.; Hofman, A.; Jaddoe, V.W.; Rivadeneira, F.; Franco, O.H. Infant dietary patterns and bone mass in childhood: The Generation R Study. Osteoporos. Int. 2015, 26, 1595–1604. [Google Scholar] [CrossRef]
- Movassagh, E.Z.; Vatanparast, H. Current Evidence on the Association of Dietary Patterns and Bone Health: A Scoping Review. Adv. Nutr. 2017, 8, 1–16. [Google Scholar] [CrossRef]
- Denova-Gutiérrez, E.; Méndez-Sánchez, L.; Muñoz-Aguirre, P.; Tucker, K.L.; Clark, P. Dietary Patterns, Bone Mineral Density, and Risk of Fractures: A Systematic Review and Meta-Analysis. Nutrients 2018, 10, 1922. [Google Scholar] [CrossRef]
- Jirout, J.; LoCasale-Crouch, J.; Turnbull, K.; Gu, Y.; Cubides, M.; Garzione, S.; Evans, T.M.; Weltman, A.L.; Kranz, S. How Lifestyle Factors Affect Cognitive and Executive Function and the Ability to Learn in Children. Nutrients 2019, 11, 1953. [Google Scholar] [CrossRef]
- Naveed, S.; Lakka, T.; Haapala, E.A. An Overview on the Associations between Health Behaviors and Brain Health in Children and Adolescents with Special Reference to Diet Quality. Int. J. Environ. Res. Public Health 2020, 17, 953. [Google Scholar] [CrossRef]
- Osuchukwu, E.C.; Agba, M.; Anieche, J.E.; Agbor, E.O.; Obeten, J.N. Awareness and preventive practices of obesity among young women in Calabar South Local Government Area of Cross River State. Biomed. Hum. Kinet. 2023, 15, 43–48. [Google Scholar] [CrossRef]
- Alioto, A.; Rossi, C.; Capano, S.; Amato, A.; Baldassano, S.; Pagliaro, A.; Lauriello, G.; Kuliś, S.; Proia, P. Biochemical assessment of insulin and vitamin D levels in obese adolescents after diet and physical activity: A retrospective observational study. Biomed. Hum. Kinet. 2023, 15, 211–217. [Google Scholar] [CrossRef]
- Naghoni, B.K.; Kęska, A.; Ebrahimi, M. The effect of milk consumption with different temperatures after resistance exercise on appetite and energy intake in active girls: A pilot study. Biomed. Hum. Kinet. 2024, 16, 139–144. [Google Scholar] [CrossRef]
- Choudhary, A.; Singh, P.; Singh, M.; Singh Dhillon, K.M. Knock knee deformity and body mass index among the male school students of 9 to 13 years old of chandigarh, India. Biomed. Hum. Kinet. 2023, 15, 185–193. [Google Scholar] [CrossRef]
- Detopoulou, P.; Dedes, V.; Syka, D.; Tzirogiannis, K.; Panoutsopoulos, G.I. Mediterranean Diet, a Posteriori Dietary Patterns, Time-Related Meal Patterns and Adiposity: Results from a Cross-Sectional Study in University Students. Diseases 2022, 10, 64. [Google Scholar] [CrossRef]
- Moscatelli, F.; De Maria, A.; Marinaccio, L.A.; Monda, W.; Messina, A.; Monacis, D.; Toto, G.; Limone, P.; Monda, M.; Messina, G.; et al. Assessment of Lifestyle, Eating Habits and the Effect of Nutritional Education among Undergraduate Students in Southern Italy. Nutrients 2023, 15, 2894. [Google Scholar] [CrossRef]
- Papadaki, A.; Hondros, G.A.; Scott, J.; Kapsokefalou, M. Eating habits of university students living at, or away from home in Greece. Appetite 2007, 49, 169–176. [Google Scholar] [CrossRef]
- Park, H.; Papadaki, A. Nutritional value of foods sold in vending machines in a UK University: Formative, cross-sectional research to inform an environmental intervention. Appetite 2016, 96, 517–525. [Google Scholar] [CrossRef]
- Martinez-Perez, N.; Arroyo-Izaga, M. Availability, Nutritional Profile and Processing Level of Food Products Sold in Vending Machines in a Spanish Public University. Int. J. Environ. Res. Public Health 2021, 18, 6842. [Google Scholar] [CrossRef]
- Gan, W.Y.; Mohd, N.M.; Zalilah, M.S.; Hazizi, A.S. Differences in eating behaviors, dietary intake and body weight status between male and female Malaysian University students. Malays. J. Nutr. 2011, 17, 213–228. [Google Scholar] [PubMed]
- Yahia, N.; Achkar, A.; Abdallah, A.; Rizk, S. Eating habits and obesity among Lebanese university students. Nutr. J. 2008, 7, 32. [Google Scholar] [CrossRef]
- Musaiger, A.O.; Awadhalla, M.S.; Al-Mannai, M.; AlSawad, M.; Asokan, G.V. Dietary habits and sedentary behaviors among health science university students in Bahrain. Int. J. Adolesc. Med. Health 2017, 29, 20150038. [Google Scholar] [CrossRef] [PubMed]
- Ul Haq, I.; Mariyam, Z.; Li, M.; Huang, X.; Jiang, P.; Zeb, F.; Wu, X.; Feng, Q.; Zhou, M.A. Comparative Study of Nutritional Status, Knowledge Attitude and Practices (KAP) and Dietary Intake between International and Chinese Students in Nanjing, China. Int. J. Environ. Res. Public Health 2018, 15, 1910. [Google Scholar] [CrossRef] [PubMed]
- Rivera Medina, C.; Briones Urbano, M.; de Jesús Espinosa, A.; Toledo López, Á. Eating Habits Associated with Nutrition-Related Knowledge among University Students Enrolled in Academic Programs Related to Nutrition and Culinary Arts in Puerto Rico. Nutrients 2020, 12, 1408. [Google Scholar] [CrossRef] [PubMed]
- El Ansari, W.; Suominen, S.; Samara, A. Eating Habits and Dietary Intake: Is Adherence to Dietary Guidelines Associated with Importance of Healthy Eating among Undergraduate University Students in Finland? Cent. Eur. J. Public Health 2015, 23, 306–313. [Google Scholar] [CrossRef]
- Moreno-Gómez, C.; Romaguera-Bosch, D.; Tauler-Riera, P.; Bennasar-Veny, M.; Pericas-Beltran, J.; Martinez-Andreu, S.; Aguilo-Pons, A. Clustering of lifestyle factors in Spanish university students: The relationship between smoking, alcohol consumption, physical activity and diet quality. Public Health Nutr. 2012, 15, 2131–2139. [Google Scholar] [CrossRef]
- Popkin, B.M.; Barquera, S.; Corvalan, C.; Hofman, K.J.; Monteiro, C.; Ng, S.W.; Swart, E.C.; Taillie, L.S. Towards unified and impactful policies to reduce ultra-processed food consumption and promote healthier eating. Lancet Diabetes Endocrinol. 2021, 9, 462–470. [Google Scholar] [CrossRef]
- Gupta, P.; Shah, D.; Kumar, P.; Bedi, N.; Mittal, H.G.; Mishra, K.; Khalil, S.; Elizabeth, K.E.; Dalal, R.; Harish, R.; et al. Pediatric and Adolescent Nutrition Society (Nutrition Chapter) Of Indian Academy of Pediatrics. Indian Academy of Pediatrics Guidelines on the Fast and Junk Foods, Sugar Sweetened Beverages, Fruit Juices, and Energy Drinks. Indian Pediatr. 2019, 56, 849–863. [Google Scholar] [CrossRef]
- Martini, D.; Godos, J.; Bonaccio, M.; Vitaglione, P.; Grosso, G. Ultra-Processed Foods and Nutritional Dietary Profile: A Meta-Analysis of Nationally Representative Samples. Nutrients 2021, 13, 3390. [Google Scholar] [CrossRef]
- Crimarco, A.; Landry, M.J.; Gardner, C.D. Ultra-processed Foods, Weight Gain, and Co-morbidity Risk. Curr. Obes. Rep. 2022, 11, 80–92. [Google Scholar] [CrossRef]
- Andreeva, V.A.; Perez-Jimenez, J.; St-Onge, M.P. A Systematic Review of the Bidirectional Association Between Consumption of Ultra-processed Food and Sleep Parameters Among Adults. Curr. Obes. Rep. 2023, 12, 439–452. [Google Scholar] [CrossRef]
- Spanos, D.; Hankey, C.R. The habitual meal and snacking patterns of university students in two countries and their use of vending machines. J. Hum. Nutr. Diet. 2010, 23, 102–107. [Google Scholar] [CrossRef] [PubMed]
- Vergetaki, A.; Linardakis, M.; Papadaki, A.; Kafatos, A. Presence of metabolic syndrome and cardiovascular risk factors in adolescents and University students in Crete (Greece), according to different levels of snack consumption. Appetite 2011, 57, 278–285. [Google Scholar] [CrossRef] [PubMed]
- Cooke, R.; Papadaki, A. Nutrition label use mediates the positive relationship between nutrition knowledge and attitudes towards healthy eating with dietary quality among university students in the UK. Appetite 2014, 83, 297–303. [Google Scholar] [CrossRef] [PubMed]
- Ng, K.W.; Sangster, J.; Priestly, J. Assessing the availability, price, nutritional value and consumer views about foods and beverages from vending machines across university campuses in regional New South Wales, Australia. Health Promot. J. Aust. 2019, 30, 76–82. [Google Scholar] [CrossRef]
- Gronowska-Senger, A. (Ed.) Przewodnik Metodyczny Badań Sposobu Żywienia; Komitet Nauki o Żywieniu Człowieka Polskiej Akademii Nauk: Warszawa, Poland, 2013; ISBN 978-83-63305-09-3. [Google Scholar]
- Kolarzyk, E.; Kwiatkowski, J.; Skop-Lewandowska, A. Ocena jakości diety kobiet o różnym stanie odżywienia, przy użyciu Indeksu Prozdrowotnej Diety (pHDI-10)/Evaluation of diet quality in women with different nutritional status using pro-Healthy Diet Index (pHDI-10). Probl. Hig. Epidemiol. 2017, 98, 177–182. [Google Scholar]
- Ratajczak, J.; Czerniak, U.; Wieliński, D.; Ciekot-Sołtysiak, M.; Zieliński, J.; Gronek, P.; Demuth, A. Pro-Healthy Diet Properties and Its Determinants among Aging Masters Athletes. Int. J. Environ. Res. Public Health 2021, 18, 7614. [Google Scholar] [CrossRef]
- Król, M.; Latosiewicz, R.; Marques Brás, R.M.; Barkow, W.; Zuzda, J.G. of physical activity of students in Poland, Portugal and Belarus. Ann. Agric. Environ. Med. 2022, 29, 126–135. [Google Scholar] [CrossRef]
- Alghadir, A.H.; Iqbal, Z.A.; Gabr, S.A. Differences among Saudi and Expatriate Students: Body Composition Indices, Sitting Time Associated with Media Use and Physical Activity Pattern. Int. J. Environ. Res. Public Health 2020, 17, 832. [Google Scholar] [CrossRef]
- García-Meseguer, M.J.; Cervera Burriel, F.; Vico García, C.; Serrano-Urrea, R. Adherence to Mediterranean diet in a Spanish university population. Appetite 2014, 78, 156–164. [Google Scholar] [CrossRef]
- Dakanalis, A.; Voulgaridou, G.; Alexatou, O.; Papadopoulou, S.K.; Jacovides, C.; Pritsa, A.; Chrysafi, M.; Papacosta, E.; Kapetanou, M.G.; Tsourouflis, G.; et al. Overweight and Obesity Is Associated with Higher Risk of Perceived Stress and Poor Sleep Quality in Young Adults. Medicina 2024, 60, 983. [Google Scholar] [CrossRef]
- Gacek, M.; Kosiba, G.; Wojtowicz, A. Personality Determinants of Diet Quality among Polish and Spanish Physical Education Students. Int. J. Environ. Res. Public Health 2021, 18, 466. [Google Scholar] [CrossRef] [PubMed]
- Popławska, H.; Dmitruk, A.; Kunicka, I.; Dębowska, A.; Hołub, W. Habits and knowledge about food and nutrition among physical education students depending on their level of higher education and physical activity. Pol. J. Sport. Tour. 2018, 25, 35–41. [Google Scholar] [CrossRef]
- Skrzypek, A.; Szeliga, M.; Stalmach-Przygoda, A.; Kowalska, B.; Jabłoński, K.; Nowakowski, M. Analysis of Lifestyle and Risk Factors of Atherosclerosis in Students of Selected Universities in Krakow. Przegl. Lek. 2016, 73, 316–319. [Google Scholar] [PubMed]
- Ilow, R.; Regulska-Ilow, B.; Różańska, D. Dietary Habits of Wroclaw Medical University Students (Poland). Rocz. Panstw. Zakl. Hig. 2017, 68, 23–32. [Google Scholar]
- Szczuko, M.; Gutowska, I.; Seidler, T. Nutrition and nourishment status of Polish students in comparison with students from other countries. Rocz. Panstw. Zakl. Hig. 2015, 66, 261–268. [Google Scholar]
- Valdes-Badilla, P.; Godoy-Cumillaf, A.; Herrera-Valenzula, T.; Durán-Agüero, S. The comparison between food habits and physical condition among physical education and other undergraduate students. Nutr. Hosp. 2015, 32, 829–836. [Google Scholar] [CrossRef]
- Chacón-Cuberos, R.; Badicu, G.; Zurita-Ortega, F.; Castro-Sánchez, M. Mediterranean Diet and Motivation in Sport: A Comparative Study Between University Students from Spain and Romania. Nutrients 2018, 11, 30. [Google Scholar] [CrossRef]
- Navarro-Prado, S.; González-Jiménez, E.; Montero-Alonso, M.A.; López-Bueno, M.; Schmidt-RioValle, J. Lifestyle and monitoring of the dietary intake of students at the Melilla campus of the University of Granada. Nutr. Hosp. 2015, 31, 2651–2659. [Google Scholar] [CrossRef]
Probability of Pro-Healthy Diet Properties | Range (Times Per Day) | Range (Points) |
---|---|---|
low | 0.00–6.66 | 1–33 |
moderate | 6.67–13.33 | 34–66 |
high | 13.34–20 | 67–100 |
Country | Age (Years) | Height (Centimeters) | Weight (Kilograms) |
---|---|---|---|
Poland N (186) | 19.7 ± 0.47 | 182 ± 8.77 | 66.3 ± 13.04 |
Greece N (137) | 22.3 ± 5.27 | 170.7 ± 8.83 | 64.1 ± 11.35 |
BMI | N | N | |
Poland | Normal BMI [%] | 148 | 79.56 |
Overweight/Obese [%] | 32 | 17.20 | |
Underweight [%] | 6 | 3.22 | |
Greece | Normal BMI [%] | 114 | 83.21 |
Overweight/Obese [%] | 16 | 11.67 | |
Underweight [%] | 7 | 5.10 |
Food Products | Country | Total N | p * | chi2 | ||
---|---|---|---|---|---|---|
Poland | Greece | |||||
Biscuits and cakes | Several times a day | 100.00% | 0.00% | 1 | 0.0006 ** | 22.41 |
(e.g., shortbread, semi-shortbread, cream-filled, fruit, yeast-based, cheesecakes, donuts, poppy seed cakes, pastries, muffins, etc.) | Daily | 20.00% | 80.00% | 5 | ||
Several times a week | 65.85% | 34.15% | 41 | |||
Several times a month | 67.63% | 32.64% | 144 | |||
Once a month or less | 48.67% | 51.33% | 58 | |||
Never or almost never | 26.32% | 73.68% | 19 | |||
Salty snacks (e.g., chips, salted crisps, crackers, pretzels, etc.) | Several times a day | 0.00% | 0.00% | 0 | 0.0001 ** | 64.71 |
Daily | 100.00% | 0.00% | 1 | |||
Several times a week | 72.73% | 27.27% | 44 | |||
Several times a month | 65.00% | 35.00% | 49 | |||
Once a month or less | 52.83% | 47.17% | 50 | |||
Never or almost never | 18.75% | 81.25% | 32 | |||
Milk and natural dairy drinks | Several times a day | 32.25% | 68.75% | 16 | 0.0001 ** | 45.33 |
(e.g., milk, milk soups, natural yogurt, kefir, natural buttermilk, etc.) | Daily | 36.05% | 63.95% | 86 | ||
Several times a week | 60.00% | 40.00% | 95 | |||
Several times a month | 75.86% | 24.14% | 87 | |||
Once a month or less | 64.00% | 36.00% | 25 | |||
Never or almost never | 78.57% | 21.43% | 14 | |||
Eggs and dishes where eggs are | Several times a day | 100.00% | 0.00% | 2 | 0.7667 | 21.47 |
the main ingredient (e.g., | Daily | 42.86% | 57.14% | 42 | ||
scrambled | Several times a week | 61.54% | 38.46% | 130 | ||
eggs, omelet, egg pasta, | Several times a month | 61.26% | 38.74% | 111 | ||
boiled eggs, etc.) | Once a month or less | 41.94% | 58.06% | 31 | ||
Never or almost never | 66.67% | 33.33% | 6 | |||
Whole grain or seeded bread, | Several times a day | 60.00% | 40.00% | 5 | 0.0168 ** | 26.32 |
also known as dark bread (e.g., | Daily | 50.94% | 49.06% | 53 | ||
rye whole grain bread, graham bread, wheat or rye bread with seeds, pumpernickel, etc.) | Several times a week | 69.39% | 30.61% | 98 | ||
Several times a month | 64.13% | 35.87% | 92 | |||
Once a month or less | 40.00% | 60.00% | 55 | |||
Never or almost never | 35.00% | 65.00% | 20 | |||
Refined bread, commonly known as white bread (e.g., | Several times a day | 71.43% | 28.57% | 7 | 0.00001 ** | 28.64 |
white wheat | Daily | 63.27% | 36.73% | 49 | ||
or rye bread, wheat-rye bread, | Several times a week | 74.00% | 26.00% | 100 | ||
toast bread, plain rolls, buns and croissants, etc.) | Several times a month | 61.64% | 38.36% | 73 | ||
Once a month or less | 34.38% | 65.63% | 64 | |||
Never or almost never | 30.00% | 70.00% | 30 | |||
Oils, all types | Several times a day | 12.50% | 87.50% | 8 | 0.00001 ** | 33.67 |
Daily | 14.49% | 85.51% | 69 | |||
Several times a week | 61.00% | 39.00% | 100 | |||
Several times a month | 73.12% | 26.88% | 93 | |||
Once a month or less | 85.37% | 14.63% | 41 | |||
Never or almost never | 91.67% | 8.33% | 12 | |||
Butter, all types | Several times a day | 100.00% | 0.00% | 7 | 0.00001 ** | 84.21 |
Daily | 87.10% | 12.90% | 31 | |||
Several times a week | 79.41% | 20.59% | 68 | |||
Several times a month | 54.95% | 45.05% | 91 | |||
Once a month or less | 29.23% | 70.77% | 65 | |||
Never or almost never | 47.54% | 52.46% | 61 | |||
Fruits, all types | Several times a day | 48.48% | 51.52% | 33 | 0.0061 ** | 41.33 |
Daily | 50.00% | 50.00% | 84 | |||
Several times a week | 71.88% | 28.13% | 128 | |||
Several times a month | 48.39% | 51.61% | 62 | |||
Once a month or less | 50.00% | 50.00% | 12 | |||
Never or almost never | 0.00% | 100.00% | 4 | |||
Vegetables, all types | Several times a day | 43.48% | 56.52% | 23 | 0.04501 ** | 44.23 |
Daily | 59.60% | 40.40% | 99 | |||
Several times a week | 64.29% | 35.71% | 126 | |||
Several times a month | 53.57% | 46.43% | 56 | |||
Once a month or less | 41.67% | 58.33% | 12 | |||
Never or almost never | 14.29% | 85.71% | 7 | |||
Red meat (e.g., pork, beef, veal, etc.) | Daily | 46.67% | 53.33% | 15 | 0.00158 ** | 33.21 |
Several times a week | 53.42% | 46.58% | 73 | |||
Several times a month | 51.08% | 48.92% | 139 | |||
Once a month or less | 62.07% | 37.93% | 58 | |||
Never or almost never | 86.84% | 13.16% | 38 | |||
Poultry and rabbit meat (e.g., poultry meat from chicken, hen, duck, turkey, etc.) | Several times a day | 0.00% | 100.00% | 1 | 0.01187 ** | 11.23 |
Daily | 48.00% | 52.00% | 25 | |||
Several times a week | 57.55% | 42.45% | 139 | |||
Several times a month | 52.21% | 47.79% | 113 | |||
Once a month or less | 63.64% | 36.36% | 22 | |||
Never or almost never | 91.30% | 8.70% | 23 | |||
Fatty fish (e.g., salmon, sardines, herring, mackerel, large carp, eel, etc.) | Several times a week | 57.14% | 42.86% | 14 | 0.1455 | 22.84 |
Several times a month | 67.53% | 32.47% | 77 | |||
Once a month or less | 57.72% | 42.28% | 123 | |||
Never or almost never | 50.46% | 49.54% | 109 |
Food Products | Country | Total N | p * | chi2 | ||
---|---|---|---|---|---|---|
Poland | Greece | |||||
Vegetable and vegetable–fruit | Never or almost never | 51.75% | 48.25% | 114 | 0.01101 ** | 47.63 |
juices (e.g., mixed vegetable, | Once a month or less | 66.67% | 33.33% | 90 | ||
tomato, carrot, carrot-fruit, etc.) | Several times a month | 62.67% | 37.33% | 75 | ||
Several times a week | 55.88% | 44.12% | 34 | |||
Daily | 12.50% | 87.50% | 8 | |||
Several times a day | 0.00% | 100.00% | 2 | |||
Sweetened beverages | Never or almost never | 44.87% | 55.13% | 78 | 0.00052 ** | 55.01 |
(e.g., Fanta, Coca-Cola, Mirinda, Sprite, etc.) | Once a month or less | 48.15% | 51.85% | 108 | ||
Several times a month | 70.51% | 29.49% | 78 | |||
Several times a week | 74.42% | 25.58% | 43 | |||
Daily | 78.57% | 21.43% | 14 | |||
Several times a day | 50.00% | 50.00% | 2 | |||
Beer | Never or almost never | 52.08% | 47.92% | 96 | 0.00178 ** | 22.97 |
Once a month or less | 50.00% | 50.00% | 96 | |||
Several times a month | 74.49% | 25.51% | 98 | |||
Several times a week | 48.00% | 52.00% | 25 | |||
Daily | 37.50% | 62.50% | 8 | |||
Wine and cocktails | Never or almost never | 74.58% | 25.42% | 59 | 0.007123 ** | 33.36 |
Once a month or less | 53.28% | 46.72% | 137 | |||
Several times a month | 60.00% | 40.00% | 100 | |||
Several times a week | 34.78% | 65.22% | 23 | |||
Daily | 0.00% | 100.00% | 2 | |||
Several times a day | 50.00% | 50.00% | 2 | |||
Vodka and high-proof spirits | Never or almost never | 52.75% | 47.25% | 91 | 0.74392 | 44.97 |
Once a month or less | 58.39% | 41.61% | 137 | |||
Several times a month | 62.20% | 37.80% | 82 | |||
Several times a week | 50.00% | 50.00% | 10 | |||
Daily | 66.67% | 33.33% | 3 |
Pro-Healthy Diet Index (pHDI-10) | Number | Percentage |
---|---|---|
Low | 309 | 95.67 |
Moderate | 14 | 4.33 |
High | 0 | 0 |
Pro-Healthy Diet Index (pHDI-10) | Country | Total N | df | p * | chi2 | |
---|---|---|---|---|---|---|
Poland | Greece | |||||
Low | 57.93% | 42.07% | 309 | 1 | 0.5571 | 142.31 |
Modetate | 50.00% | 50.00% | 14 | |||
High | 0.00% | 0.00% | 0 | |||
Total | 186 | 137 | 323 |
Poland | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
BMI | Pro-Healthy Diet Index (pHDI-10) | Total N | df | p * | chi2 | ||||||
low | moderate | high | |||||||||
Normal BMI [%] | 96.62% | 3.38% | 0.00% | 148 | 2 | 0.65656 | 54.23 | ||||
Overweight/obese [%] | 93.75% | 6.25% | 0.00% | 32 | |||||||
underweight [%] | 100.00% | 0.00% | 0.00% | 6 | |||||||
Total | 179 | 7 | 0 | 186 | |||||||
* Pearson chi-squared test | |||||||||||
Greece | |||||||||||
BMI | Pro-Healthy Diet Index (pHDI-10) | Total N | df | p * | chi2 | ||||||
low | moderate | high | |||||||||
Normal BMI [%] | 94.74% | 5.26% | 0.00% | 114 | 2 | 0.80871 | 65.33 | ||||
Overweight/obese [%] | 93.75% | 6.25% | 0.00% | 16 | |||||||
Underweight [%] | 100.00% | 0.00% | 0.00% | 7 | |||||||
Total | 130 | 7 | 0 | 137 | |||||||
* Pearson chi-squared test |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2024 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
Widłak, P.; Malara, M.; Tomczyk, Ł.; Dania, A.; Panagiotakou, G.; Papoulia, G. Evaluation of the Dietary Habits of Polish and Greek University Students in the Context of the Health Benefits of Their Diets. Nutrients 2024, 16, 3819. https://doi.org/10.3390/nu16223819
Widłak P, Malara M, Tomczyk Ł, Dania A, Panagiotakou G, Papoulia G. Evaluation of the Dietary Habits of Polish and Greek University Students in the Context of the Health Benefits of Their Diets. Nutrients. 2024; 16(22):3819. https://doi.org/10.3390/nu16223819
Chicago/Turabian StyleWidłak, Patrycja, Marzena Malara, Łukasz Tomczyk, Aspasia Dania, Georgia Panagiotakou, and Georgia Papoulia. 2024. "Evaluation of the Dietary Habits of Polish and Greek University Students in the Context of the Health Benefits of Their Diets" Nutrients 16, no. 22: 3819. https://doi.org/10.3390/nu16223819
APA StyleWidłak, P., Malara, M., Tomczyk, Ł., Dania, A., Panagiotakou, G., & Papoulia, G. (2024). Evaluation of the Dietary Habits of Polish and Greek University Students in the Context of the Health Benefits of Their Diets. Nutrients, 16(22), 3819. https://doi.org/10.3390/nu16223819