**15. Data analysis**

Data obtained from the questionnaires were analysed using IBM SPSS statistics (version 26). Data analysis entailed categorising, ordering, cleaning and summarising the data. The demographic and knowledge questions were analysed through 'descriptive statistics such as mean, standard deviation, minimum and maximum values' for all scaled questions and frequency tables were used to illustrate these data [32].

The inferential statistical analysis, that is, the t-test was used to compare knowledge scores based on the independent variables of gender and BMI. Additionally, 'Cronbach's Alpha was used to test the internal consistency' of measurement used for the knowledge variable ([33]:209). Equally, data were coded for nominal scale data, replacing the text with actual values. The responses that had more than fifty per cent of data missing were removed from the data. Additionally, knowledge scores were calculated for questions measuring similar constructs.
