Selected article for: "linear regression correlation analysis and Pearson linear regression correlation analysis"

Author: Naveed, Muhammad Asif; Shaukat, Rozeen
Title: Health literacy predicts Covid-19 awareness and protective behaviours of university students
  • Cord-id: xydnrr6d
  • Document date: 2021_1_1
  • ID: xydnrr6d
    Snippet: BACKGROUND: Health literacy is expected to help individuals deal with the required infection control and knowledge to cope with the COVID-19 pandemic. OBJECTIVES: This study examined the impact of health literacy on Covid-19 awareness and protective behaviours of university students in Pakistan. METHODS: An online questionnaire was used to collect data from students at three universities in Punjab. The approved questionnaire contained 12 statements related to HL, 21 items towards Covid-19 awaren
    Document: BACKGROUND: Health literacy is expected to help individuals deal with the required infection control and knowledge to cope with the COVID-19 pandemic. OBJECTIVES: This study examined the impact of health literacy on Covid-19 awareness and protective behaviours of university students in Pakistan. METHODS: An online questionnaire was used to collect data from students at three universities in Punjab. The approved questionnaire contained 12 statements related to HL, 21 items towards Covid-19 awareness, and 11 statements related to protective behaviours, along with some demographic data. Data analysis used Pearson correlation and simple linear regression. RESULTS: Health literacy of university students positively predicted their Covid-19 awareness and protective behaviours indicating that students with high health literacy were likely to be more aware of Covid-19 and adopt health protective behaviours. There were gender and rural/urban differences. CONCLUSIONS: The results demonstrated an urgent need for planning a needs-based health literacy programme focusing specifically on Covid-19 literacy in Pakistan. This research might help policy-makers, NGOs, and health librarians devise suitable programme.

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