ADAPTATION OF THE SHORT QUESTIONNAIRE TO ASSESS CHANGES İN LIFESTYLE-RELATED BEHAVIOUR DURING COVID 19 PANDEMIC IN TURKISH: A VALIDITY RELIABILITY STUDY

Abstract

Aim: In this study, ' 'A Short Questionnaire to Assess Changes In Lifestyle-Related Behavior Adaptation of During COVID 19 Pandemic into Turkish was carried out to examine its reliability and validity in the Turkish sample. Method: The study was conducted through an online questionnaire with a total of 160 people, 58.8 % of whom were women, between the ages of 18-65 years (31.24±11.35). The relevant validity and reliability tests were conducted for the Turkish adaptation of the translated questionnaire. Results: In the study, it was determined that the sample size (KMO=0.812) and the items were sufficient for factor analysis (χ2= 819.879; p<0.01). The results of the explanatory factor analysis explained 68,239% of the total variability of the questionnaire and were accepted as 4 dimensions. According to the confirmatory factor analysis, it was determined that the structural equation model result of the scale was significant at the p=0.000 level, and it was related to the 13 items forming the scale and the four-factor questionnaire structure. When the goodness of fit index of the questionnaire was evaluated, it was found that it had acceptable fit with RMSEA 0.080; It has been found that it is in perfect agreement with χ2 2.011. Factor loads of all items were determined to be between 0.647 and 0.828. The Cronbach's Alpha coefficient of the questionnaire was found to be 0.866. Conclusion: As a result of the validity and reliability tests for the Turkish version of the questionnaire, it has been revealed that it is a valid and reliable measurement tool that can be used in health institutions.

Keywords

• lifestyle
• diet
• covid-19
• pandemic

References

1. REFERENCES Ammar, A., Brach, M., Trabelsi, K., Chtourou, H., Boukhris, O., Masmoudi, L., . . . Ahmed, M. (2020). Effects of COVID-19 home confinement on eating behaviour and physical activity: results of the ECLB-COVID19 international online survey. Nutrients, 12(6), 1583. https://doi.org/10.3390/nu12061583
2. Bryman, A. & Cramer, D. (2001). Quantitative data analysis with SPSS release 10 for Cole, D.A. (1987). Utility of confirmatory factor analysis in test validation research. Journal of Consulting and Clinical Psychology, 55, 1019-1031.
3. Cancello, R., Soranna, D., Zambra, G., Zambon, A., & Invitti, C. (2020). Determinants of the lifestyle changes during COVID-19 pandemic in the residents of Northern Italy. International journal of environmental research and public health, 17(17), 6287. https://doi.org/10.3390/ijerph17176287
4. Ercan, İ., & İsmet, K. (2004). Ölçeklerde güvenirlik ve geçerlik. Uludağ Üniversitesi Tıp Fakültesi Dergisi, 30(3), 211-216. Retrieved from https://dergipark.org.tr/tr/pub/uutfd/issue/35255/391149
5. González‐Hijón, J., Kähler, A. K., Frans, E. M., Valdimarsdóttir, U. A., Sullivan, P. F., Fang, F., & Lovik, A. (2023). Unravelling the link between sleep and mental health during the COVID‐19 pandemic. Stress and Health https://doi.org/10.1002/smi.3223
6. Hammouri, H., Almomani, F., Abdel Muhsen, R., Abughazzi, A., Daghmash, R., Abudayah, A., . . . Alzein, E. (2022). Lifestyle variations during and after the COVID-19 pandemic: a cross-sectional study of diet, physical activities, and weight gain among the Jordanian adult population. International journal of environmental research and public health, 19(3), 1346. https://doi.org/10.3390/ijerph19031346
7. Hançer, M. (2003). Ölçeklerin Yazim Dilinden Başka Bir Dile Çevirileri Ve Kullanilan Değişik Yaklaşimlar. Balıkesir Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 6(10), 47-59. Retrieved from https://dergipark.org.tr/tr/pub/baunsobed/issue/50342/651893
8. Hu, Z., Lin, X., Kaminga, A. C., & Xu, H. (2020). Impact of the COVID-19 epidemic on lifestyle behaviors and their association with subjective well-being among the general population in mainland China: cross-sectional study. Journal of medical Internet research, 22(8), e21176. DOI: 10.2196/21176

9. Kaufman-Shriqui, V., Navarro, D. A., Raz, O., & Boaz, M. (2022). Dietary changes and anxiety during the coronavirus pandemic: A multinational survey. European Journal of Clinical Nutrition, 76(1), 84-92. https://doi.org/10.1038/s41430-021-00897-3
10. Kumari, A., Ranjan, P., Vikram, N. K., Kaur, D., Sahu, A., Dwivedi, S. N., . . . Goel, A. (2020). A short questionnaire to assess changes in lifestyle-related behaviour during COVID-19 pandemic. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 14(6), 1697-1701. DOI: 10.1016/j.dsx.2020.08.020
11. Leszczak, J., Czenczek-Lewandowska, E., Wyszyńska, J., Weres, A., Lewandowski, B., & Baran, J. (2022). Consumption of selected food products by adults representing various body mass categories, during COVID-19 lockdown in Poland. European Journal of Clinical Nutrition, 76(8), 1186-1192. https://doi.org/10.1038/s41430-022-01089-3
12. Martínez-de-Quel, Ó., Suárez-Iglesias, D., López-Flores, M., & Pérez, C. A. (2021). Physical activity, dietary habits and sleep quality before and during COVID-19 lockdown: A longitudinal study. Appetite, 158, 105019. https://doi.org/10.1016/j.appet.2020.105019
13. Medrano, M., Cadenas‐Sanchez, C., Oses, M., Arenaza, L., Amasene, M., & Labayen, I. (2021). Changes in lifestyle behaviours during the COVID‐19 confinement in Spanish children: A longitudinal analysis from the MUGI project. Pediatric Obesity, 16(4), e12731. https://doi.org/10.1111/ijpo.12731
14. Shimpo, M., Akamatsu, R., Kojima, Y., Yokoyama, T., Okuhara, T., & Chiba, T. (2021). Factors associated with dietary change since the outbreak of COVID-19 in Japan. Nutrients, 13(6), 2039. https://doi.org/10.3390/nu13062039
15. Sidor, A., & Rzymski, P. (2020). Dietary choices and habits during COVID-19 lockdown: experience from Poland. Nutrients, 12(6), 1657. https://doi.org/10.3390/nu12061657
16. Van der Werf, E. T., Busch, M., Jong, M. C., & Hoenders, H. (2021). Lifestyle changes during the first wave of the COVID-19 pandemic: a cross-sectional survey in the Netherlands. BMC Public Health, 21(1), 1-11. https://doi.org/10.1186/s12889-021-11264-z
17. Yeşilyurt, S., & Çapraz, C. (2018). A road map for the content validity used in scale development studies. Erzincan Üniversitesi Eğitim Fakültesi Dergisi, 20(1), 251-264. https://doi.org/10.17556/erziefd.297741