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).