Dergiler / Journal of Basic and Clinical Health Sciences / 2021 / Cilt: 5 - Sayı: 1

Analysis of Tweets Related with Physical Activity During COVID-19 Outbreak

Sayfa
42–48
Yayın Tarihi
2021-02-26
DOI
—
🏛️Bu makalenin bibliyografik verileri ve tam metin bağlantısı DergiPark üzerinden sağlanmıştır.
DergiPark Kaydı ↗
✨

Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Current findings also showed that social media is a platform for promoting physical activity and exercise via peoples’ necessity to share and get interaction.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:Purpose: The COVID-19 pandemic affected the daily lifestyle and habits around the worldwide.
📊
Temel Bulgular & Veri:The aim of this study was to analysis of tweet numbers and attitudes related with physical activity during the COVID-19 pandemic regarding the timeline of Turkey outbreak.
💡
Sonuç & Katkı:Current findings also showed that social media is a platform for promoting physical activity and exercise via peoples’ necessity to share and get interaction.
🔬Tür:Araştırma Makalesi
📍Kapsam:2020 Verileri
⚙️Değişkenler:covid19 · physical activity · twitter

Abstract

Purpose: The COVID-19 pandemic affected the daily lifestyle and habits around the worldwide. Besides the impact of coronavirus on social life and canceling of gyms limited physical activity and exercise. The aim of this study was to analysis of tweet numbers and attitudes related with physical activity during the COVID-19 pandemic regarding the timeline of Turkey outbreak. Methods: Twitter query performed in Turkish tweets between 1st of January and 14th of May 2020 including keywords “exercise” or “physical or activity” or “fitness” or “plates” or “gymnastics” or “inactive”. Collected tweet data sent to Google cloud natural language API for estimation of sentiment score. Tweets assigned as non-COVID period (1st of Jan-14th Mar; n=74 days) and COVID period (14th Mar-14th May; n=61 days) according to the prognosis of the pandemic in Turkey. Results: The number of tweets and both positive and negative sentiments score of tweets significantly increased in the COVID period in comparison to the non-COVID period. There was a significant decreased sentiment scores in COVID period when compared to non-COVID period however, during the COVID period, no significant differences found between forced isolation days and non-forced isolation days. Discussion: These results suggest that people had more leisure time and realized the importance of being active for a healthy lifestyle during this lockdown period in Turkey then both performed exercises and posted to Twitter more often. Current findings also showed that social media is a platform for promoting physical activity and exercise via peoples’ necessity to share and get interaction.

🔖

Bu Makaleye Atıf Yap

ŞAHİN, T., GÜMÜŞ, H., GENÇOĞLU, C. (2021). Analysis of Tweets Related with Physical Activity During COVID-19 Outbreak. Journal of Basic and Clinical Health Sciences, Cilt: 5 - Sayı: 1, 42–48. https://ajindex.com/articles/163460

📄 Tam Metin PDF Okuyucu

📄

PDF görüntüleyici hazırlanıyor...

Kaynakça (11)

  1. Health Ministry RoT. COVID-19 information. https://COVID19bilgi.saglik.gov.tr/tr/2020 [cited 2020 11th June]. Burcu Tokuç GV. Medical Education in Turkey in Time of COVID-19. Balkan Medical Journal2020. https://doi.org/10.4274/balkanmedj.galenos.2020.2020.4.003
  2. Gössling S, Scott D, Hall CM. Pandemics, tourism and global change: a rapid assessment of COVID-19. Journal of Sustainable Tourism. 2020:1-20. https://doi.org/10.1080/09669582.2020.1758708
  3. Haleem A, Javaid M, Vaishya R. Effects of COVID 19 pandemic in daily life. Curr Med Res Pract. 2020 Apr 3. https://doi.org/10.1016/j.cmrp.2020.03.011
  4. Cellini N, Canale N, Mioni G, Costa S. Changes in sleep pattern, sense of time and digital media use during COVID-19 lockdown in Italy. J Sleep Res. 2020 May 15:e13074. https://doi.org/10.31234/osf.io/284mr
  5. Hemphill NM, Kuan MTY, Harris KC. Reduced Physical Activity During COVID-19 Pandemic in Children With Congenital Heart Disease. Can J Cardiol. 2020 May 5. https://doi.org/10.1016/j.cjca.2020.04.038
  6. Zhang J, Brackbill D, Yang S, Centola D. Efficacy and causal mechanism of an online social media intervention to increase physical activity: Results of a randomized controlled trial. Prev Med Rep. 2015;2:651-7. https://doi.org/10.1016/j.pmedr.2015.08.005 Achen RM. Using Facebook and Twitter to Encourage Physical Activity: Are College Students Connecting with Campus Recreation on Social Media? A Pilot Study. Recreational Sports Journal. 2018;39(2):132-43. https://doi.org/10.1123/rsj.2014-0046
  7. Lippi G, Henry BM, Bovo C, Sanchis-Gomar F. Health risks and potential remedies during prolonged lockdowns for coronavirus disease 2019 (COVID-19). Diagnosis (Berl). 2020a May 26;7(2):85-90. https://doi.org/10.1515/dx-2020-0041
  8. Lippi G, Henry BM, Sanchis-Gomar F. Physical inactivity and cardiovascular disease at the time of coronavirus disease 2019 (COVID-19). Eur J Prev Cardiol. 2020b Jun;27(9):906-8. https://doi.org/10.1177/2047487320916823
  9. Chen P, Mao L, Nassis GP, Harmer P, Ainsworth BE, Li F. Coronavirus disease (COVID-19): The need to maintain regular physical activity while taking precautions. J Sport Health Sci. 2020 Mar;9(2):103-4. https://doi.org/10.1016/j.jshs.2020.02.001
  10. Batool R, Khattak AM, Maqbool J, Lee S, editors. Precise tweet classification and sentiment analysis. 2013 IEEE/ACIS 12th International Conference on Computer and Information Science (ICIS); 2013: IEEE. https://doi.org/10.1109/ICIS.2013.6607883
  11. Barkur G, Vibha GBKJAjop. Sentiment analysis of nationwide l