Rapid Survey on Lifestyle Changes and Body Weight Gain Among Algerians During COVID-19 Lockdown
Copyright © 2020 Authors
This work is licensed under a Creative Commons Attribution 4.0 International License.
- Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Aims: To assess the potential influence of lifestyle changes during the first month of COVID-19 lockdown on body weight gains (WG) in an Algerian population cohort.
Subjects and Methods: A sample survey, carried out using a self-administered questionnaire, sent on social networks to a random sample (172 participants). Anthropometric measurements were obtained as well as lifestyle factors including physical activity, diet habits, sleep, and screen time.
Results: The average WG was; 1.02 ± 3.36, 1.18±2.15, and 0.95±3.79 (kg) for the total sample, men and women respectively. Δ-BMI (body mass index difference before and after one month of lockdown period) increased as following; 0.42±1.43, 0.39±0.68, and 0.43±1.66 (Kg/m²) for the total sample, men and women respectively. WG induced slightly changes from the normal BMI category to the overweight category for the total cohort (24.87±6.74 vs 25.28±7.19 kg/m²), women (25.13±7.65 vs 25.56±8.19 kg/m²) whereas no effect was reported in men (24.28±4.03 vs 24.67±4.15 kg/m²). A significant difference (p < 0.001) was revealed in men and women for sport practicing (53.33 vs 40.90 % respectively) and nighttime snacking (56.60% for men against 43.55% for women). Positive correlation between body WG and number of meals/day in men (r=0.341, p=0.012), while for women there was a positive correlation between WG change and both food intake (r=0.170, p=0.066) and nighttime snacking (r=0.228, p=0.013). Furthermore, a negative correlation between WG and sport practicing was found in women (r =-0.221, p=0.016).
Conclusions: Significant WG was found during a short Covid-19 lockdown. The WG results presented herein were positively associated with certain lifestyle variables during the Covid-19 lockdown.
Keywords
How to Cite
1. Moussaoui, A., & Auger, P. (2020). Prediction of confinement effects on the number of COVID-19 outbreak in Algeria. Mathematical Modelling of Natural Phenomena, 15, 37. https://doi.org/10.1051/mmnp/2020028
2. Hsieh, Y., King, C., Chen, C. W., Ho, M., Hsu, S., & Wu, Y. (2007). Impact of quarantine on the 2003 SARS outbreak: A retrospective modeling study. Journal of Theoretical Biology, 244(4), 729-736. https://doi.org/10.1016/j.jtbi.2006.09.015
3. Brooks, S. K., Webster, R. K., Smith, L. E., Woodland, L., Wessely, S., Greenberg, N., & Rubin, G. J. (2020). The psychological impact of quarantine and how to reduce it: Rapid review of the evidence. The Lancet, 395(10227), 912-920. https://doi.org/10.1016/s0140-6736(20)30460-8
4. Rodríguez-Morales, A. J., MacGregor, K., Kanagarajah, S., Patel, D., & Schlagenhauf, P. (2020). Going global – Travel and the 2019 novel coronavirus. Travel Medicine and Infectious Disease, 33, 101578. https://doi.org/10.1016/j.tmaid.2020.101578
5. Giallonardo, V., Sampogna, G., Del Vecchio, V., Luciano, M., Albert, U., Carmassi, C., Giuseppe, C., .. & Pompili, M. (2020)."The impact of quarantine and physical distancing following COVID-19 on mental health: Study protocol of a multicentric Italian population trial." Frontiers in Psychiatry 11:533. https://doi.org/10.3389/fpsyt.2020.00533
6. Mattioli, A. V., & Ballerini Puviani, M. (2020). Lifestyle at time of COVID-19: How could quarantine affect cardiovascular risk. American Journal of Lifestyle Medicine, 14(3), 240-242. https://doi.org/10.1177/1559827620918808
7. Rundle, A. G., Park, Y., Herbstman, J. B., Kinsey, E. W., & Wang, Y. C. (2020). COVID‐19–related school closings and risk of weight gain among children. Obesity, 28(6), 1008-1009. https://doi.org/10.1002/oby.22813
8. Cooper, J. A., & Tokar, T. (2016). A prospective study on vacation weight gain in adults. Physiology & Behavior, 156, 43-47. https://doi.org/10.1016/j.physbeh.2015.12.028
9. Cook, C. M., Subar, A. F., Troiano, R. P., & Schoeller, D. A. (2012). Relation between holiday weight gain and total energy expenditure among 40- to 69-y-old men and women (OPEN study). The American Journal of Clinical Nutrition, 95(3), 726-731. https://doi.org/10.3945/ajcn.111.023036
10. Stevenson, J. L., Krishnan, S., Stoner, M. A., Goktas, Z., & Cooper, J. A. (2013). Effects of exercise during the holiday season on changes in body weight, body composition and blood pressure. European Journal of Clinical Nutrition, 67(9), 944-949. https://doi.org/10.1038/ejcn.2013.98
Similar Articles
- Participatory Cooking Demonstrations for Mothers Improve Feeding Practices of Young Children in Southern Benin
- Food Profile and Its Effect on the Occurrence of Diabetes in Patients Living with HIV: A Cross-Sectional Study at the Nylon District Hospital, Cameroon
- Nutritional knowledge and behavior of a sample of Algerian pregnant women
- Prevalence of prediabetes in an urban Nigerian population using the Finnish Diabetes Risk Score.
- COVID-19 lockdown impact on Tunisian consumer behaviors and awareness related to food consumption and wastage during celebrations: Case of study “Ramadan month”
- Regulation of Food Supplements in Algeria: Current Situation, Issues, and Perspectives.
- Nutrition in Contemporary Zimbabwe: A Situational Analysis
- Impact of Deep-Fat Frying Cycles on the Physicochemical Characteristics of Two Edible Vegetable Oils Marketed in Algeria
- Impact of Lycopene Supplementation on the Physicochemical, and Microbiological Properties of Fresh Goat Cheese
- Effects of Complementary Food Formulated from Millet, Soybean, and Grasshopper on Hematological Parameters of Malnourished Weanling Albino Rats
You may also start an advanced similarity search for this article.
NAJFNR is licensed under 