The epidemiological profile associated with lifestyle risk factors and nutritional status for COVID-19 patients in the Iraqi population

Abstract

Objectives. To determine the prevalence of covide19 infection and to identify the lifestyle factors and nutritional status associated with the epidemiological profile of covid19 patients. Methods. This cross-sectional survey was carried out in the eighteen Iraqi governorates, from 1st August to 20th of October 2020. At the end of this study, 433 participants were recruited . Results. The prevalence of coronavirus infection was 37.18%. Smoking and Active physical activity were relatively higher for covid19 patients who are male, and belonged to the under 45 age range were 91.3%. It notices that covid19 patients who smoking and had active physical activity were married, residence in urban, and worked. Likewise, covid19 patients who had equal or more than institute/college level of education are smokers and had active physical activity. Obesity prevalence was higher for patients aged <45 (92.2%), and higher for females (51%). The proportion of obese was generally higher for married and for those living in urban areas (92.2%). Obesity was significantly more common among those in worked (70.6%). Conclusions. Of note is the high prevalence of covid19 infection observed. A strong correlation between the prevalence of active physical activity among covid19 patients and gender, marital status, residence, education, and occupation. As unexpected, the prevalence rate of obesity among covid19 patients on correlating with socio-demographic status did not yield a significant difference.

Association of COVID-19 Infection with Sociodemographic, Anthropometric and Lifestyle Factors: A Cross-Sectional Study in an Older Adults’ Population Aged over 65 Years Old

“…Several risk factors have been recognized to affect COVID-19 infection, such as socioeconomic, anthropometric, and lifestyle factors [10]. Several studies have demonstrated that health outcomes like the probability of developing a disease and then dying are highly associated with the socioeconomical state [11].…”