Investigating Factors Effect on Fruit and Vegetable Consumption: Applying Social Cognitive Theory

Nasirzadeh, Mostafa; Abdolkarimi, Mahdi; Asadollahi, Zahra; Hashemian, Maryam

doi:10.18502/jchr.v9i3.4259

Cited by 3 publications

(4 citation statements)

References 3 publications

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“…In order to promote the intake of vegetables, according to WHO recommendations [ 3 , 5 ], fresh-cut vegetables (carrots, cucumbers, tomatoes, and bell peppers) were included as snacks before or after lunch in a few days, as the availability of fruit and vegetables has a positive effect on their intake [ 6 ].…”

Section: Resultsmentioning

confidence: 99%

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Case Study: Free Lunch Meals Provision during the Remote Learning Conditions

et al. 2021

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School meals for grade 1 to 4 pupils in Latvia are financed by the government, but with the onset of the COVID-19 pandemic in March 2020, and following the remote learning process, there were problems related to the delivery of these meals for pupils. The current situation in Latvia has been exacerbated again due to the spread of the pandemic; there is a great necessity to find well-thought-out solutions to ensure school lunches outside the school. The aim of this study was to develop recommendation-based one-week food packs for grade 1 to 4 pupils, providing the necessary amount of nutrients and energy. Four food packs were designed to provide five-day lunch meals for pupils, preparing a warm lunch at home. Protein, fat, saturated fatty acids, carbohydrates, sugar, dietary fiber, sodium, salt and calcium content of meals were analyzed according to standard methods. During the project, the most appropriate solution for food packs was explored. The four designed food packs will provide support to municipalities, because the composition of food packs complies with the nutrition and energy value regulation and does not exceed the planned budget. Parents will receive the developed recipe book in addition to a one-week food pack.

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Section: Resultsmentioning

confidence: 99%

“…The food packs designed by municipalities contained a poor amount of fruit and vegetables. In turn, the study by Nasirzadeh et al [ 6 ] confirmed a strong correlation between the availability and intake of fruit and vegetables. By including fruit and vegetables in food packs, it is possible to enhance their consumption among pupils.…”

Section: Introductionmentioning

confidence: 88%

Case Study: Free Lunch Meals Provision during the Remote Learning Conditions

et al. 2021

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“…According to SCT, students learn not only from direct instruction but also from observing others and engaging in collaborative activities. This theory underscores the importance of creating collaborative learning environments that promote interaction and engagement among students (Hashemian, Abdolkarimi&Nasirzadeh, 2022, Nasirzadeh, et. al., 2020.…”

Section: Theoretical Frameworkmentioning

confidence: 97%

A review of AI-driven pedagogical strategies for equitable access to science education

Chima Abimbola Eden,

Olabisi Oluwakemi Adeleye,

Idowu Sulaimon Adeniyi

2024

Magna Sci. Adv. Res. Rev.

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Access to quality science education is essential for equitable development and advancement in society. However, disparities in access to science education persist, particularly among marginalized and underserved populations. Artificial intelligence (AI) offers innovative solutions to address these disparities by enhancing pedagogical strategies that promote equitable access to science education. This review examines AI-driven pedagogical strategies aimed at improving equitable access to science education. The review explores how AI technologies, such as machine learning, natural language processing, and computer vision, can be leveraged to personalize learning experiences, provide real-time feedback, and enhance engagement among students from diverse backgrounds.AI-driven personalized learning platforms can adapt to individual learning styles and pace, ensuring that each student receives tailored instruction. These platforms can also provide additional support to students facing learning challenges, thus promoting inclusivity and equity in science education. Furthermore, AI-driven assessment tools can provide educators with insights into student performance and comprehension, enabling them to identify areas for improvement and provide targeted interventions. Additionally, AI can facilitate collaborative learning environments, allowing students to work together irrespective of their physical location, thus breaking down geographical barriers to access. However, the implementation of AI-driven pedagogical strategies raises ethical considerations, such as data privacy and algorithmic bias, which must be carefully addressed to ensure equitable access to science education for all students. In conclusion, AI-driven pedagogical strategies have the potential to revolutionize science education by enhancing personalized learning, providing real-time feedback, and fostering inclusive learning environments. However, careful consideration must be given to the ethical implications of AI implementation to ensure that these technologies are used responsibly and equitably.

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“…Furthermore, a study conducted on patients receiving care in medical clinics indicated that the consumption of fat in people, who had read food labels in the last year, was lower than others. This was despite the fact that it was higher for fruits and vegetables (11,14,16). According to a populationbased study conducted on African Americans population, the authors found that reading nutrition labels had a negative association with obesity and a positive association with healthy eating choices (15).…”

Section: Introductionmentioning

confidence: 98%

“Knowledge, Attitude and Practice Regarding Food Labeling in Patients with Chronic Diseases in Gilan Province

Rostom¹,

Ashouri²,

Mahdavi-Roshan³

2022

JCHR

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Introduction: Food labels can be beneficial instruments for patients with chronic diseases to take care of the health. The study aimed to assess knowledge, attitude and practice of patients with chronic diseases about food labeling and effects of sociodemographic factors on it. Methods: A cross-sectional study was conducted during 2018-2019 on 800 patients with chronic diseases who referred to clinics of Heshmat and Razi hospitals in Gilan, Iran, through convenience sampling. Anthropometric measurements and sociodemographic information were assessed. Status of knowledge, attitude and practice toward food labeling were assessed through a self-reported questionnaire. Mann-whitney U-test and Kruscal-wallis test was used for statistical analysis. P-value<0.05 was considered as significant. Results: The mean age of participants was 55.6±14. The mean± SD of knowledge score was 8.47± 1.22. Almost 70% of the patients believed that written date on food package insures that the product is fresh. 68% of them believed that reading nutritional information on food labels is helpful to choose a product with high nutritional value. In the field of practice, 99% of participants paid attention to food labels when purchasing, however, the majority of them read these labels to find out the produce and expiry date and price. Only 11% of the participants read food labels when purchasing to get nutritional information. Conclusion: Patients with chronic diseases have good knowledge but poor practice about food labeling. Regarding the importance of food choices in prevention of chronic diseases, educating people about the importance of food labels seems necessary.

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Investigating Factors Effect on Fruit and Vegetable Consumption: Applying Social Cognitive Theory

Cited by 3 publications

References 3 publications

Case Study: Free Lunch Meals Provision during the Remote Learning Conditions

Case Study: Free Lunch Meals Provision during the Remote Learning Conditions

A review of AI-driven pedagogical strategies for equitable access to science education

“Knowledge, Attitude and Practice Regarding Food Labeling in Patients with Chronic Diseases in Gilan Province

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