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ADULTS' BEHAVIOURS IN FOOD PREFERENCES, PERCEIVED STRESS SITUATIONS, AND INFLUENCING FACTORS DURING THE COVID-19 PANDEMIC

Yıl 2022, Cilt: 3 Sayı: 3, 255 - 260, 31.12.2022

Gokce Cakmak Kafadar Yeliz Mercan

https://doi.org/10.52831/kjhs.1144740

Öz

Objective: It was aimed to examinethe behaviours of adults in food preferences and to determine the factors affecting the perceived stress situations of adults during the COVID-19 pandemic.
Method: This descriptive study was conducted as an e-survey in Turkeywith 372 adultsaged 40-64 years after the second closure. Perceived Stress Scale and survey with descriptive questions was used in the study.
Results: During the COVID-19 pandemic, 59.1% of the group did not shop for food with any orders. In this process, the most preferred foods are eggs (86.3%), meat and meat products (85.8%), milk and dairy products (85.5%), fresh vegetables (84.4%) and fresh fruit (83.3%).58.9% of the participants do not want to shop in crowded places such as markets and bazaars. It was determined that 79.6% of them were worried about the increase in food prices, 78.8% of them bought food in panic, and 90.1% of them stocked up on food. The most stocked foods during the COVID-19 pandemic were legumes (58.9%) and cereals (52.2%). 38.7% of the participants stated that the concern about adequate food availability and 27.7% of them stated that the concern about food safety has increased. It was determined that the PSS total score averages of the participants who made panic purchases during the COVID-19 pandemic (p=0.018) and who had increased food safety concerns (p=0.000) were higher. Participants with increased awareness of food waste (p=0.003), food preparation behaviour at home (p=0.024), concern for adequate food availability (p=0.034) and food safety concerns (p=0.000) had low insufficient self-efficacy sub-dimension mean scores. Duringthe COVID-19 pandemic process, the stress/discomfort sub-dimension score averages of the participants who shopped both on-site and on order (p=0.015), showed panicky buying behaviour (p=0.000), had increased ordering behaviour via the internet (p=0.002), had increased awareness of food waste (p=0.000), had increased food preparation behaviour at home (p=0.000), was worried about adequate food availability (p=0.000), and had food safety concerns (p=0.000) were found to be high.
Conclusion: Examining the behaviour of food consumers in extraordinary situations such as the COVID-19 pandemic is essential both in terms of health and social aspects and will facilitate the planning of food and economic policies.

Anahtar Kelimeler

Food Selection Consumer Preference Consumer Behaviour Psychological Stress

Kaynakça

  • McKibbin W, Fernando R. The global macroeconomic ımpacts of Covid-19: seven scenarios. Asian Economic Papers. 2021;20(2):1-30.
  • Baldwin R, Di Mauro WB. Introduction.In: Baldwin R, Di Mauro WB, eds. mitigating the Covid economic crisis: act fast and do whatever it takes. London: Centre for Economic Policy Research Press. 2020:1-24.
  • De Vito A, Gomez JP. Estimating the Covid-19 cash crunch: global evidence and policy. Journal of Accounting and Public Policy. 2020;39(2):106741.
  • Wheelock DC. Comparing the Covid-19 recession with the great depression. Economic Synopses. 2020;39:1-4.
  • Clouse, J. Global challenge to financial crisis with Covid-19 pandemic: a short communication. Journal of the International Academy for Case Studies. 2021;27(4):1-1.
  • Maslow AH. A theory of human motivation. Psychological Review. 1943;50:370-396.
  • Koçak Bilgin Y, Tekeli HN. Covid-19’un yiyecek içecek işletmelerine olan etkisi. Doğuş Üniversitesi Dergisi. 2022;23(Covid-19 Özel Sayısı):281-301.
  • Rude J. Covid-19 and the Canadian cattle/beef sector: some preliminary analysis. Canadian Journal of Agricultural Economics/Revue canadienne d’agroeconomie. 2020;68(2):207-213.
  • Baker SR, Farrokhnia RA, Meyer S, Pagel M, Yannelis C. How does household spending respond to an epidemic consumption during the 2020 Covid-19 pandemic. The Review of Asset Pricing Studies. 2020;10(4):834-862.
  • Long NN, Khoi BH. An empirical study about the intention to hoard food during Covid-19 pandemic. Eurasia Journal of Mathematics Science and Technology Education. 2020;16(7):1857.
  • Wetter E, Rosengren S, Törn F. Private sector data for understanding public behaviours in crisis: the case of Covid-19 in Sweden. SSE Working Paper Series in Business. 2020;1.
  • Gerhold L. Covid-19: risk perception and coping strategies. PsyArXiv. 2020.
  • Mercan Y, Vedat A, Dikmen Yıldız P. Sociodemographic and psychological characteristics of adults who have Covid-19 suspected and confirmed cases in themselves their families or their immediate surroundings (10th-16th weeks in Covid-19 pandemia). Humanistic Perspective. 2021;3(1):164-185.
  • Shahidi F. Does Covid-19 Affect food safety and security? Journal of Food Bioactives. 2020;9.
  • Akbal E, Gökler ME. Covid-19 salgını sürecinde eksikliği ortaya çıkan bir gerçek: sağlık okuryazarlığı. ESTÜDAM Halk Sağlığı Dergisi. 2020;5(COVID-19 Özel Sayısı):148-55.
  • Richards TJ, Rickard B. Covid-19 impact on fruit and vegetable markets. Canadian Journal of Agricultural Economics. 2020; 68(2):189-194.
  • Shaikh A. Effective factors in changing the buying behavior of consumer due to Covid-19. Studies in Indian Place Names. 2020;40(68):408-414.
  • Faul F, Erdfelder E, Lang AG, Buchner A. G* Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior research methods. 2007;39(2):175-191.
  • Faul F, Erdfelder E, Buchner A, Lang AG. Statistical power analyses using G* Power 3.1: Tests for correlation and regression analyses. Behavior research methods. 2009;41(4):1149-1160.
  • Cohen S, Kamarck T, Mermelstein R. Perceived stress scale (PSS). measuring stress: a guide for health and social scientists. 1994;10(2):1-2.
  • Eskin M, Harlak H, Demirkıran F, Dereboy Ç. Algılanan Stres Ölçeğinin Türkçeye uyarlanması: güvenirlik ve geçerlik analizi. New Symposium Journal. 2013;51(3):132-140.
  • Türkiye Sağlık Bakanlığı. Türkiye Beslenme Rehberi TÜBER 2015. Ankara: Sağlık Bakanlığı Yayın, 2016;1031. ISBN: 978-975-590-608-9.
  • ALMughamis N, AlAsfour S, Mehmood S. Poor eating habits and predictors of weight gain during the Covid-19 quarantine measures in Kuwait: a cross sectional study. F1000Research. 2020;9:914.
  • Gallo LA, Gallo TF, Young SL, Moritz KM, Akison LK. The impact of isolation measures due to COVID-19 on energy intake and physical activity levels in Australian university students. Nutrients. 2020;12(6):1865.
  • Zachary Z, Brianna F, Brianna, L et al. Self-quarantine and weight gain related risk factors during the Covid-19 pandemic. Obes Res Clin Pract. 2020;14(3):210-216.
  • Sidor A, Rzymski P. Dietary choices and habits during Covid-19 lockdown: experience from Poland. Nutrients. 2020;12(6):1657.
  • Jayne JM, Ayala R, Karl JP, et al. Body weight status, perceived stress, and emotional eating among US army Soldiers: a mediator model. Eat Behav. 2020;36:101367.
  • Shou B, Xiong H, Shen X. Consumer panic buying and quota policy under supply disruptions. Manuf Serv Oper Manag.2013;6:1-9.
  • Özenoğlu A, Çevik E, Çolak H, Altıntaş T, Alakuş K. Changes in nutrition and lifestyle habits during the Covid-19 pandemic in Turkey and the effects of healthy eating attitudes. Mediterranean Journal of Nutrition and Metabolism. 2021:1-17.
  • Cogley M. Has social media turbocharged panic buying by UK shoppers? 2020. https://www.telegraph.co.uk/technology/2020/03/10/has-social-media-turbocharged-panic-buying-uk-shoppers/Erişim Tarihi: 17 Mayıs 2022.
  • O'Connell M, De Paula Á, Smith K. Preparing for a pandemic: Spending dynamics and panic buying during the Covid‐19 first wave. Fiscal Studies. 2021;42(2):249-264.
  • Power M, Doherty B, Pybus K, Pickett K. How Covid-19 has exposed inequalities in the UK food system: the case of UK food and poverty. Emerald Open Research. 2020;2:11.
  • Aytop Y, Dağ MM, Çetinkaya S. Covid-19 sürecinde tüketicilerin gıda güvenliği algısı. Türk Tarım ve Doğa Bilimleri Dergisi. 2021;8(4):1084-1093.
  • Özel NG, Mert İ, Sima N. Covid-19 pandemi sürecinin sosyal sorumlu tüketim davranışlarına etkileri. Eskişehir Osmangazi Üniversitesi Sosyal Bilimler Dergisi. 2021;22(2):357-373.
  • Sinav A. Genç-yaşlı, orta-yaşlı ve ileri-yaşlı bireylerin sosyal medya kullanım davranışlarının karşılaştırmalı analizi: Eskişehir ili örneği. Üsküdar Üniversitesi İletişim Fakültesi Akademik Dergisi Etkileşim. 2020;5:116-145.
  • Bracale R, Vaccaro CM. Changes in food choice following restrictive measures due to Covid-19. Nutr Met Cardiovasc Dis. 2020;30(9):1423-1426.

COVID-19 PANDEMİSİNDE YETİŞKİNLERİN GIDA TERCİHLERİNDEKİ DAVRANIŞLARI, ALGILANAN STRES DURUMLARI VE ETKİLEYEN FAKTÖRLER

Yıl 2022, Cilt: 3 Sayı: 3, 255 - 260, 31.12.2022

Gokce Cakmak Kafadar Yeliz Mercan

https://doi.org/10.52831/kjhs.1144740

Öz

Amaç: COVID-19 pandemisinde yetişkinlerin gıda tercihlerindeki davranışları incelemek ve algıladıkları stres durumlarını etkileyen faktörleri saptamak amaçlandı.
Yöntem: Tanımlayıcı tipteki bu araştırma ikinci kapanma sonrasında 40-64 yaş arası 372 yetişkin ile Türkiye’de e-survey olarak gerçekleştirildi. Çalışmada Algılanan Stres Ölçeği (ASÖ) ve tanımlayıcı form kullanıldı.
Bulgular: COVID-19 pandemi sürecinde grubun %59.1’i hiç sipariş ile gıda alışverişi yapmamıştı. Bu süreçte en fazla tercih edilen gıdalar yumurta (%86.3), et ve et ürünleri (%85.8), süt ve süt ürünleri (%85.5), taze sebze (%84.4) ve taze meyveydi (%83.3). Katılımcıların %58.9’unun market, pazar gibi kalabalık yerlerde alışveriş yapmak istemediği, %79.6’sının gıda fiyatlarının artmasından endişe ettiği, %78.8’inin panikle gıda satın aldığı, %90.1’inin yiyecek stokladığı belirlendi. COVID-19 pandemi sürecinde en fazla stoklanan gıdalar kuru baklagiller (%58.9) ve tahıllardı (%52.2). Katılımcıların %38.7’si yeterli gıda bulunabilirliği endişesinin ve %27.7’si gıda güvenliği endişesinin arttığını belirtti. COVID-19 pandemi sürecinde panikle satın alma yapan (p=0.018) ve gıda güvenliği endişesi artan (p=0.000) katılımcıların ASÖ toplam puan ortalamalarının daha yüksek olduğu saptandı. Gıda israfı farkındalığı (p=0.003), evde yemek hazırlama davranışı (p=0.024), yeterli gıda bulunabilirliği endişesi (p=0.034) ve gıda güvenliği endişesi (p=0.000) artan katılımcıların yetersiz özyeterlilik alt boyut puan ortalamaları düşük saptandı. COVID-19 pandemi sürecinde hem kendisi hem de sipariş ile alışveriş yapan (p=0.015), panikle satın alma davranışı gösteren (p=0.000), internet aracılığı ile sipariş yapma davranışı artan (p=0.002), gıda israfı farkındalığı artan (p=0.000), evde yemek hazırlama davranışı artan (p=0.000), yeterli gıda bulunabilirliği endişesi yaşayan (p=0.000) ve gıda güvenliği endişesi yaşayan (p=0.000) katılımcıların stres/rahatsızlık alt boyut puan ortalamaları yüksekti.
Sonuç: COVID-19 pandemisi gibi olağan dışı durumlarda gıda tüketicilerinin davranışlarının incelenmesi hem sağlık hem de sosyal boyutuyla önem taşımakta olup, gıda ve ekonomi politikalarının planlanmasını daha kolaylaştıracaktır.

Anahtar Kelimeler

COVID-19 Gıda Seçimi Tüketici Tercihi Tüketici Davranışı Psikolojik Stres

Kaynakça

  • McKibbin W, Fernando R. The global macroeconomic ımpacts of Covid-19: seven scenarios. Asian Economic Papers. 2021;20(2):1-30.
  • Baldwin R, Di Mauro WB. Introduction.In: Baldwin R, Di Mauro WB, eds. mitigating the Covid economic crisis: act fast and do whatever it takes. London: Centre for Economic Policy Research Press. 2020:1-24.
  • De Vito A, Gomez JP. Estimating the Covid-19 cash crunch: global evidence and policy. Journal of Accounting and Public Policy. 2020;39(2):106741.
  • Wheelock DC. Comparing the Covid-19 recession with the great depression. Economic Synopses. 2020;39:1-4.
  • Clouse, J. Global challenge to financial crisis with Covid-19 pandemic: a short communication. Journal of the International Academy for Case Studies. 2021;27(4):1-1.
  • Maslow AH. A theory of human motivation. Psychological Review. 1943;50:370-396.
  • Koçak Bilgin Y, Tekeli HN. Covid-19’un yiyecek içecek işletmelerine olan etkisi. Doğuş Üniversitesi Dergisi. 2022;23(Covid-19 Özel Sayısı):281-301.
  • Rude J. Covid-19 and the Canadian cattle/beef sector: some preliminary analysis. Canadian Journal of Agricultural Economics/Revue canadienne d’agroeconomie. 2020;68(2):207-213.
  • Baker SR, Farrokhnia RA, Meyer S, Pagel M, Yannelis C. How does household spending respond to an epidemic consumption during the 2020 Covid-19 pandemic. The Review of Asset Pricing Studies. 2020;10(4):834-862.
  • Long NN, Khoi BH. An empirical study about the intention to hoard food during Covid-19 pandemic. Eurasia Journal of Mathematics Science and Technology Education. 2020;16(7):1857.
  • Wetter E, Rosengren S, Törn F. Private sector data for understanding public behaviours in crisis: the case of Covid-19 in Sweden. SSE Working Paper Series in Business. 2020;1.
  • Gerhold L. Covid-19: risk perception and coping strategies. PsyArXiv. 2020.
  • Mercan Y, Vedat A, Dikmen Yıldız P. Sociodemographic and psychological characteristics of adults who have Covid-19 suspected and confirmed cases in themselves their families or their immediate surroundings (10th-16th weeks in Covid-19 pandemia). Humanistic Perspective. 2021;3(1):164-185.
  • Shahidi F. Does Covid-19 Affect food safety and security? Journal of Food Bioactives. 2020;9.
  • Akbal E, Gökler ME. Covid-19 salgını sürecinde eksikliği ortaya çıkan bir gerçek: sağlık okuryazarlığı. ESTÜDAM Halk Sağlığı Dergisi. 2020;5(COVID-19 Özel Sayısı):148-55.
  • Richards TJ, Rickard B. Covid-19 impact on fruit and vegetable markets. Canadian Journal of Agricultural Economics. 2020; 68(2):189-194.
  • Shaikh A. Effective factors in changing the buying behavior of consumer due to Covid-19. Studies in Indian Place Names. 2020;40(68):408-414.
  • Faul F, Erdfelder E, Lang AG, Buchner A. G* Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior research methods. 2007;39(2):175-191.
  • Faul F, Erdfelder E, Buchner A, Lang AG. Statistical power analyses using G* Power 3.1: Tests for correlation and regression analyses. Behavior research methods. 2009;41(4):1149-1160.
  • Cohen S, Kamarck T, Mermelstein R. Perceived stress scale (PSS). measuring stress: a guide for health and social scientists. 1994;10(2):1-2.
  • Eskin M, Harlak H, Demirkıran F, Dereboy Ç. Algılanan Stres Ölçeğinin Türkçeye uyarlanması: güvenirlik ve geçerlik analizi. New Symposium Journal. 2013;51(3):132-140.
  • Türkiye Sağlık Bakanlığı. Türkiye Beslenme Rehberi TÜBER 2015. Ankara: Sağlık Bakanlığı Yayın, 2016;1031. ISBN: 978-975-590-608-9.
  • ALMughamis N, AlAsfour S, Mehmood S. Poor eating habits and predictors of weight gain during the Covid-19 quarantine measures in Kuwait: a cross sectional study. F1000Research. 2020;9:914.
  • Gallo LA, Gallo TF, Young SL, Moritz KM, Akison LK. The impact of isolation measures due to COVID-19 on energy intake and physical activity levels in Australian university students. Nutrients. 2020;12(6):1865.
  • Zachary Z, Brianna F, Brianna, L et al. Self-quarantine and weight gain related risk factors during the Covid-19 pandemic. Obes Res Clin Pract. 2020;14(3):210-216.
  • Sidor A, Rzymski P. Dietary choices and habits during Covid-19 lockdown: experience from Poland. Nutrients. 2020;12(6):1657.
  • Jayne JM, Ayala R, Karl JP, et al. Body weight status, perceived stress, and emotional eating among US army Soldiers: a mediator model. Eat Behav. 2020;36:101367.
  • Shou B, Xiong H, Shen X. Consumer panic buying and quota policy under supply disruptions. Manuf Serv Oper Manag.2013;6:1-9.
  • Özenoğlu A, Çevik E, Çolak H, Altıntaş T, Alakuş K. Changes in nutrition and lifestyle habits during the Covid-19 pandemic in Turkey and the effects of healthy eating attitudes. Mediterranean Journal of Nutrition and Metabolism. 2021:1-17.
  • Cogley M. Has social media turbocharged panic buying by UK shoppers? 2020. https://www.telegraph.co.uk/technology/2020/03/10/has-social-media-turbocharged-panic-buying-uk-shoppers/Erişim Tarihi: 17 Mayıs 2022.
  • O'Connell M, De Paula Á, Smith K. Preparing for a pandemic: Spending dynamics and panic buying during the Covid‐19 first wave. Fiscal Studies. 2021;42(2):249-264.
  • Power M, Doherty B, Pybus K, Pickett K. How Covid-19 has exposed inequalities in the UK food system: the case of UK food and poverty. Emerald Open Research. 2020;2:11.
  • Aytop Y, Dağ MM, Çetinkaya S. Covid-19 sürecinde tüketicilerin gıda güvenliği algısı. Türk Tarım ve Doğa Bilimleri Dergisi. 2021;8(4):1084-1093.
  • Özel NG, Mert İ, Sima N. Covid-19 pandemi sürecinin sosyal sorumlu tüketim davranışlarına etkileri. Eskişehir Osmangazi Üniversitesi Sosyal Bilimler Dergisi. 2021;22(2):357-373.
  • Sinav A. Genç-yaşlı, orta-yaşlı ve ileri-yaşlı bireylerin sosyal medya kullanım davranışlarının karşılaştırmalı analizi: Eskişehir ili örneği. Üsküdar Üniversitesi İletişim Fakültesi Akademik Dergisi Etkileşim. 2020;5:116-145.
  • Bracale R, Vaccaro CM. Changes in food choice following restrictive measures due to Covid-19. Nutr Met Cardiovasc Dis. 2020;30(9):1423-1426.
Toplam 36 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Sağlık Kurumları Yönetimi
Bölüm Araştırma Makaleleri
Yazarlar

Gokce Cakmak Kafadar 0000-0002-0364-1546

Yeliz Mercan 0000-0002-7099-4536

Yayımlanma Tarihi 31 Aralık 2022
Gönderilme Tarihi 17 Temmuz 2022
Yayımlandığı Sayı Yıl 2022 Cilt: 3 Sayı: 3

Kaynak Göster

Vancouver Cakmak Kafadar G, Mercan Y. COVID-19 PANDEMİSİNDE YETİŞKİNLERİN GIDA TERCİHLERİNDEKİ DAVRANIŞLARI, ALGILANAN STRES DURUMLARI VE ETKİLEYEN FAKTÖRLER. Karya J Health Sci. 2022;3(3):255-60.
 Kapak Resmi İndir


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