Results
A total of 350 individuals were approached, 301 of whom completed and returned the questionnaire, giving a response rate of 86%. The mean (S.D.) age of study participants was 33.03±10.05 years, and it ranged from 18 years to 65 years. An almost equal number of male (48.2%) and female (51.8%) respondents represented the study. Nearly thirty percent of respondents completed secondary school (28.9%) and were unemployed (29.9%), respectively. Majority of the respondents were single (175, 58.1%).
Of the total 301 participants, forty (13.3%) of them had a familial history of CKD, and less than five per cent of respondents had a personal history of stroke (3.7%). Remarkably, Eighty per cent of the participants were free from any medical condition that requires medication at the time of the study. 10.6%, 7.6% and 7.0% of respondents have had hypertension, diabetes and heart attack, respectively. In this study, the majority of participants live in the house of five and above (54.5%) (See table 1).
In this study, the mean (S.D.) knowledge score of participants was 11.12 (±4.21) with a minimum score of 0 and a maximum of 22. Concerning the distribution of CKD knowledge score, half of the respondents score 11 and less. Majority of the participants are aware that kidney makes urine (72.8%) and clean blood (67.8%). More than half of the participant identified that Diabetes (57.8%) and hypertension (51.8%) are the risk factors for CKD. However, only one-fourth of the participants knew that being female has got nothing to do with increasing the risk of CKD (25.2%). A significant number of respondents knew that urine test help to determine kidney health (87.7%). Nearly sixty per cent of respondents recognized that certain medications could help in lowering the progression of CKD (57.5) (See table 2).
One-way ANOVA was employed to test significant association between socio-demographic characteristics and knowledge score. The analysis revealed that educational level had a significant effect on knowledge of CKD. Respondents who had an educational background of degree had relatively higher knowledge scores than the other category participants (P-value = 0.015). Independent t-test was also performed but failed to reveal any association between socio-demographic characteristics and knowledge score (See table 3).