1. Your methods state a sample size of 486 was required, but your calculation uses P=500 (the population size) in the formula for n0n0, which is statistically nonsensical, PP should represent the estimated proportion, not the population. This fundamental error invalidates your entire sample size justification. How did this mistake occur, and how does it affect the validity of your findings?
2. You claim subjects were randomized, but the baseline characteristics show the in-depth intervention group was significantly older (45.35 vs. 40.96 years) and had a markedly different educational profile. This suggests either failed randomization or selective allocation. How can you attribute outcomes to the intervention when these confounders were not controlled?
3. Your study recruited only “morning walkers,” who are inherently more health-conscious than the general population. Yet you generalize your conclusions to Bangladeshi adults. How do you justify this, and doesn’t this severely limit the external validity of your study?
