Impact of lockdown on smoking and sleeping in the early COVID-19 presence: Datasets of Greek Adults sample

• Published in: Data in brief Vol. 39; p. 107480
• Main Authors: Bourdas, Dimitrios I., Zacharakis, Emmanouil D., Travlos, Antonios K., Souglis, Athanasios, Georgali, Triantafyllia I., Gofas, Dimitrios C., Ktistakis, Ioannis E., Deltsidou, Anna
• Format: Journal Article
• Language: English
• Published: Elsevier Inc 01.12.2021; Elsevier
• Subjects: Cross-sectional; Data; Life style; Public health; Quarantine; SARS-CoV-2; Sedentary life; Self-report; Tobacco; SARS-CoV-2; Tobacco; Quarantine; Cross-sectional; Public health; Self-report; Sedentary life; Life style
• ISSN: 2352-3409; 2352-3409
• DOI: 10.1016/j.dib.2021.107480

The impact of lockdown on life style and behaviour have piqued the interest of people and scientific community, all over the world. It has been demonstrated that in some countries, mandatory stay-at-home limitations and self-isolation measures are linked to an increase in sleeping hours and smoking cigarettes per day. However, these results derive from countries that lockdown had different features and length, and it is possible that society, culture, customs, ecological or other factors may independently or in combination affect life style habits (such sleeping and smoking) in different populations. So, we focus on sleeping and smoking changes in Greek adults during the lockdown of early COVID-19 presence in Greece. Therefore, our aim was to investigate whether lockdown alters smoking and sleeping habits and whether physical activity (PA), gender, age or body mass index (BMI) play a role. The modified online-based Active-Q (Greek version) questionnaire (see Supplementary file 1_Active-Q_modyfied) was used to collect data prior to the COVID-19 pandemic (PRE condition) and during physical distancing and lockdown measures (POST condition). The data period collection was from April 4 to April 19, 2020 (15 days in total) and respondents classified into four PA categories based on their sporting activities (PRE condition), five age categories and four BMI categories, which corresponding to different subgroup. Overall, sleeping hours change (from PRE to POST condition) was 11.80% and smoking cigarettes per day change was 9.35%. However, it appears that between the different subgroups significant differences were also identified.