| Analysis Plan Description | The aim of this study is to compare the impacts of COVID19 on mental health, quality of life, and coping behaviors between cancer patients, patients with other chronic illness, and healthy individuals across diverse countries of the globe. We will analyze data from all cross-sectional surveys in order to understand differences between groups (cancer vs. chronic vs healthy). Specifically, differences in sociodemographic characteristics (e.g., gender, age) between groups will be evaluated using χ2 (categorical data) or ANOVA (continuous data). A series of linear regressions will be used to evaluate the associations between the medical group (independent variable with 3 levels: cancer vs. chronic vs. healthy) and each of the following dependent variables: (Q25) (COVID-19 related anxiety: ‘To a Great Extent’, ‘Somewhat’, ‘Very Little’, ‘Not at All’); Q27 (impacts on psychosocial wellbeing: ‘To a Great Extent’, ‘Somewhat’, ‘Very Little’, ‘Not at All’), and Q28 (coping behaviors: ‘I do this a lot more’, ‘I do this more’, ‘I do this as much as before’, ‘I do this less’, ‘I do this a lot less’, ‘I don’t do this’); and Q30 (quality of life: it’s gotten much better; It’s gotten better; It’s remained the same; It’s gotten worse; It’s gotten much worse). All of these categories will be converted to continuous data and used for linear regression. The lowest level of effect (‘healthy’; ‘Not at All’, ‘I don’t do this’; it’s gotten much better) will be used as reference categories. |
