Document Type : Letter to The Editor
Authors
1 Department of Health in Disasters and Emergencies, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran.
2 Health Management and Economics Research Center, Health Management Research Institute, Iran University of Medical Sciences, Tehran, Iran
Abstract
No Abstract
Keywords
The Covid-19 outbreak, which has been declared as a pandemic on 11 March 2020, has been able to affect social and economic structure and especially health plans in different countries (1, 2). Therefore, it has affected food security and dietary diversity in developed and undeveloped countries. Before incomes reduction and disruption of supply chains by the Covid-19 outbreak, impaired nutritional status was one of major health problem because of different factors such as socio-economic conditions, climate change, and pests. Food security of people around the world has been threatened by the Covid-19 pandemic affecting vulnerable households in almost every country, with impacts expected to continue into 2022 (3). Although, the pandemic situation made people in developed country to have considerable tendency to use healthy food products with high fiber and protein content, and fewer tendencies to unhealthy foods that weaken the immune system (4) this situation, it can be stated with confidence that this novel health crisis has badly struck the least developed and developing countries, where people are extremely vulnerable to malnutrition (5).
Currently, especially by the emergence of the covid-19 pandemic, most of researches related to dietary behavior changes and nutritional quality carries out by means of online questionnaire because of some limitation for field research (6). Although online questionnaires are easy to distribute and gather data in disaster conditions and they also save time as well as cost in data processing, the results of the related studies can be biased in some cases because they may neglect a large number of people who they cannot use online questionnaire or have not required facility to access this tools. Also, the validity of such studies are in question because participants might be in hurry to complete the questionnaire and so might not give accurate responses (7). In most of online researches conducted in food security and nutrition fields during Covid-19 pandemic, factors such as age, education level, nutrition knowledge as well
as socio-economic vulnerability of people are not considered. Mentioned factors can produce some serious challenges in interpreting obtained data from online questionnaires and also reduce the validity and reliability of findings (8, 9). The most common technical challenge appeared to be the ability to use the internet. Less internet use ability has been associated with lower education, unemployment, disability, and lower level of income and social contact among older people (10, 11). Some studies also found that limited internet access and digital gadget constraints the possibility of participation of older people in studies which jeopardize the generalizability of studies (12, 13). The results of some studies considering nutritional status and food security during covid-19 pandemic which have been used online questionnaire, demonstrated that these studies did not include low socio-economic level people who have less nutritional knowledge and live in suburban area of a city. It can play a confounding role in findings of these studies (14).
To address online survey limitations in nutritional status, we recommend educational interventions to teach participant about how to access and use the internet. Increasing participant nutritional knowledge by providing training clip and brochures is one of the other ways to increase online questionnaire validity and reliability. Another solution is promoting nutritional knowledge of individuals and getting the help of a family member as their assistant while completing an online questionnaire by facilitating gadget access and clarifying its questions and responses.
Funding
Non-declared.
Acknowledgment
Not applicable.
Conflict of interest
Non-declared.
- Smith JA, Judd J. COVID‐19: vulnerability and the power of privilege in a pandemic. Health Promotion Journal of Australia. 2020;31(2):158.
- Ozili PK. Covid-19 pandemic and economic crisis: The Nigerian experience and structural causes. Journal of Economic and Administrative Sciences. 2020.
- Boughton D, Goeb J, Lambrecht I, Headey D, Takeshima H, Mahrt K, et al. Impacts of COVID-19 on agricultural production and food systems in late transforming Southeast Asia: The case of Myanmar. Agricultural Systems. 2021;188:103026.
- Workie E, Mackolil J, Nyika J, Ramadas S. Deciphering the impact of COVID-19 pandemic on food security, agriculture, and livelihoods: A review of the evidence from developing countries. Current Research in Environmental Sustainability. 2020:100014.
- Faour-Klingbeil D, Osaili TM, Al-Nabulsi AA, Jemni M, Todd EC. An on-line survey of the behavioral changes in Lebanon, Jordan and Tunisia during the COVID-19 pandemic related to food shopping, food handling, and hygienic practices. Food control. 2021;125:107934.
- Ammar A, Brach M, Trabelsi K, Chtourou H, Boukhris O, Masmoudi L, 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(6):1583.
- Wright KB. Researching Internet-based populations: Advantages and disadvantages of online survey research, online questionnaire authoring software packages, and web survey services. Journal of computer-mediated communication. 2005;10(3):JCMC1034.
- McIntyre MH, Team aR, Kless A, Hein P, Field M, Tung JY. Validity of the cold pressor test and pain sensitivity questionnaire via online self-administration. PloS one. 2020;15(4):e0231697.
- Kliemann N, Wardle J, Johnson F, Croker H. Reliability and validity of a revised version of the General Nutrition Knowledge Questionnaire. European journal of clinical nutrition. 2016;70(10):1174-80.
10. Tijdens K, Steinmetz S. Is the web a promising tool for data collection in developing countries? An analysis of the sample bias of 10 web and face-to-face surveys from Africa, Asia, and South America. International Journal of Social Research Methodology. 2016;19(4):461-79.
- Van Deursen AJ, Helsper EJ. A nuanced understanding of Internet use and non-use among the elderly. European journal of communication. 2015;30(2):171-87.
- Nahm E-S, Resnick B, Gaines J. Testing the reliability and validity of computer-mediated social support measures among older adults: A pilot study. CIN: Computers, Informatics, Nursing. 2004;22(4):211-9.
- Clark DJ. Older adults living through and with their computers. CIN: Computers, Informatics, Nursing. 2002;20(3):117-24.
- Maria N, Zaid A, Catrin S, Ahmed K, Ahmed A-J, Christos I, et al. The socio-economic implications of the coronavirus pandemic (COVID-19): A review. International Journal of Surgery. 2020;78:185-93.
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