IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i19p10241-d645925.html
   My bibliography  Save this article

The Relationship between Online and Offline Information-Seeking Behaviors for Healthy Nutrition

Author

Listed:
  • András Fehér

    (Institute of Marketing and Commerce, Faculty of Economics and Business, University of Debrecen, 4032 Debrecen, Hungary)

  • Miklós Véha

    (Naturtrade Hungary Ltd., 6725 Szeged, Hungary)

  • Henrietta Mónika Boros

    (Institute of Marketing and Commerce, Faculty of Economics and Business, University of Debrecen, 4032 Debrecen, Hungary)

  • Bence Kovács

    (Institute of Marketing and Commerce, Faculty of Economics and Business, University of Debrecen, 4032 Debrecen, Hungary)

  • Enikő Kontor

    (Institute of Marketing and Commerce, Faculty of Economics and Business, University of Debrecen, 4032 Debrecen, Hungary)

  • Zoltán Szakály

    (Institute of Marketing and Commerce, Faculty of Economics and Business, University of Debrecen, 4032 Debrecen, Hungary)

Abstract

In addition to preserving their health, young people can also play a role in providing information to wider society. Nutrition habits that have developed over the years at college have an impact on the foundation of a lifelong lifestyle. Our aim was to identify university students’ online and offline information-seeking attitudes related to healthy nutrition and create a new theoretical concept. Participants were university students ( n = 612), and the self-administered, paper-based questionnaires were sent out to nine Hungarian universities. Both descriptive and multivariate statistical procedures were used in the analysis. Online and offline information sources were categorized. In relation to university students’ information-seeking competence, the component of electronic health literacy was determined. In analyzing attitudes, the components of acceptance of, incentive for, and rejection of or ambivalence towards healthy nutrition were identified. The information-seeking categories related to the stages of university students’ conscious transition to healthy nutrition were also identified. University students’ competences related to electronic health literacy are essentially favorable. This target group accepts healthy nutrition and tries to recommend it to others, too. However, a rejecting or ambivalent attitude could also be identified. Online and offline sources of information accompany university students’ transition of the relevant stages of changes. The theoretical concept that we developed can contribute to bridging gaps in the interrelatedness of diverse information sources and healthy nutrition.

Suggested Citation

  • András Fehér & Miklós Véha & Henrietta Mónika Boros & Bence Kovács & Enikő Kontor & Zoltán Szakály, 2021. "The Relationship between Online and Offline Information-Seeking Behaviors for Healthy Nutrition," IJERPH, MDPI, vol. 18(19), pages 1-18, September.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:19:p:10241-:d:645925
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/19/10241/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/18/19/10241/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xianglong Xu & Yang Pu & Manoj Sharma & Yunshuang Rao & Yilin Cai & Yong Zhao, 2017. "Predicting Physical Activity and Healthy Nutrition Behaviors Using Social Cognitive Theory: Cross-Sectional Survey among Undergraduate Students in Chongqing, China," IJERPH, MDPI, vol. 14(11), pages 1-13, November.
    2. Blaylock, James & Smallwood, David & Kassel, Kathleen & Variyam, Jay & Aldrich, Lorna, 1999. "Economics, food choices, and nutrition," Food Policy, Elsevier, vol. 24(2-3), pages 269-286, May.
    3. Marie-Pierre Tavolacci & Pierre Déchelotte & Joel Ladner, 2020. "Eating Disorders among College Students in France: Characteristics, Help-and Care-Seeking," IJERPH, MDPI, vol. 17(16), pages 1-11, August.
    4. Pier A. Spinazze & Marise J. Kasteleyn & Jiska J. Aardoom & Josip Car & Niels H. Chavannes, 2020. "Cross-Sectional Analysis of University Students’ Health Using a Digitised Health Survey," IJERPH, MDPI, vol. 17(9), pages 1-20, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Laurie Fraticelli & Colette Smentek & Delphine Tardivo & Julien Masson & Céline Clément & Sylvain Roy & Claude Dussart & Denis Bourgeois & Florence Carrouel, 2021. "Characterizing the Content Related to Oral Health Education on TikTok," IJERPH, MDPI, vol. 18(24), pages 1-18, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Smith, Patricia K. & Bogin, Barry & Bishai, David, 2005. "Are time preference and body mass index associated?: Evidence from the National Longitudinal Survey of Youth," Economics & Human Biology, Elsevier, vol. 3(2), pages 259-270, July.
    2. Borghans, Lex & Golsteyn, Bart H.H., 2006. "Time discounting and the body mass index: Evidence from the Netherlands," Economics & Human Biology, Elsevier, vol. 4(1), pages 39-61, January.
    3. Cavaliere, Alessia & De Marchi, Elisa & Banterle, Alessandro, 2013. "Time Preference and Health: The Problem of Obesity," 2013 International European Forum, February 18-22, 2013, Innsbruck-Igls, Austria 164754, International European Forum on System Dynamics and Innovation in Food Networks.
    4. Maya N. Clark-Cutaia & Mary Ann Sevick & Jennifer Thurheimer-Cacciotti & Leslie A. Hoffman & Linda Snetselaar & Lora E. Burke & Susan L. Zickmund, 2019. "Perceived Barriers to Adherence to Hemodialysis Dietary Recommendations," Clinical Nursing Research, , vol. 28(8), pages 1009-1029, November.
    5. Stewart, Hayden & Blisard, Noel & Jolliffe, Dean, 2003. "Do Income Constraints Inhibit Spending on Fruits and Vegetables Among Low-Income Households?," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 28(3), pages 1-16, December.
    6. Rhodes, Charles, 2012. "A Dynamic Model of Failure to Maximize Utility in the Chronic Consumer Choice to Consume Foods High in Added Sugars," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124693, Agricultural and Applied Economics Association.
    7. Bożena Kusz & Lucyna Witek & Dariusz Kusz & Katarzyna Chudy-Laskowska & Paulina Ostyńska & Alina Walenia, 2023. "The Effect of COVID-19 on Food Consumers’ Channel Purchasing Behaviors: An Empirical Study from Poland," Sustainability, MDPI, vol. 15(5), pages 1-17, March.
    8. Dodd, Mark C., 2014. "Intertemporal discounting as a risk factor for high BMI: Evidence from Australia, 2008," Economics & Human Biology, Elsevier, vol. 12(C), pages 83-97.
    9. Sidali, Katia Laura & Spiller, Achim & von Meyer-Hofer, Marie, 2016. "Consumer Expectations Regarding Sustainable Food: Insights from Developed and Emerging Markets," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 19(3), pages 1-30, August.
    10. Henson, Spencer & Blandon, Jose & Cranfield, John, 2010. "Difficulty of healthy eating: A Rasch model approach," Social Science & Medicine, Elsevier, vol. 70(10), pages 1574-1580, May.
    11. You, Wen & Nayga, Rodolfo M., Jr., 2003. "Impact Of Food Away From Home On Children'S Diet," 2003 Annual meeting, July 27-30, Montreal, Canada 22239, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    12. Lydia Lawless & Andreas Drichoutis & Rodolfo Nayga, 2013. "Time preferences and health behaviour: a review," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 1(1), pages 1-19, December.
    13. Andreas C. Drichoutis & Panagiotis Lazaridis & Rodolfo M. Nayga Jr, 2009. "On Consumers' Valuation Of Nutrition Information," Bulletin of Economic Research, Wiley Blackwell, vol. 61(3), pages 223-247, July.
    14. Bekir Demirtas, 2018. "The Effect of Price Increases on Fresh Meat Consumption in Turkey," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 66(5), pages 1249-1259.
    15. De Marchi, Elisa & Caputo, Vincenzina & Nayga, Rodolfo M. & Banterle, Alessandro, 2016. "Time preferences and food choices: Evidence from a choice experiment," Food Policy, Elsevier, vol. 62(C), pages 99-109.
    16. Matthieu Clement & Céline Bonnefond, 2015. "Does social class affect nutrition knowledge and food preferences among chinese urban adults?," Working Papers hal-02949035, HAL.
    17. Katja Haider & Elke Humer & Magdalena Weber & Christoph Pieh & Tiam Ghorab & Rachel Dale & Carina Dinhof & Afsaneh Gächter & Thomas Probst & Andrea Jesser, 2023. "An Assessment of Austrian School Students’ Mental Health and Their Wish for Support: A Mixed Methods Approach," IJERPH, MDPI, vol. 20(6), pages 1-18, March.
    18. Guan, L. & Jin, S. & Huang, Z., 2018. "Time Preference and Food Nutrition Information Search: Evidence from 1220 Chinese Consumers," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277205, International Association of Agricultural Economists.
    19. Yasuo Ohe & Shinichi Kurihara & Shinpei Shimoura, 2014. "Evaluating willingness to become a food education volunteer among urban residents in Japan: toward a participatory food policy," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 2(1), pages 1-19, December.
    20. Alessia Cavaliere & Elena Claire Ricci & Matteo Solesin & Alessandro Banterle, 2014. "Can Health and Environmental Concerns Meet in Food Choices?," Sustainability, MDPI, vol. 6(12), pages 1-16, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:18:y:2021:i:19:p:10241-:d:645925. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.