Due to the rise of unhealthy lifestyles among the young population, there is a need to develop a tool to assess their healthpromoting behavior. Despite the importance of this issue, few studies have explored the Health-Promoting Lifestyle Profile (HPLP) among students, and literature from the East African region for this particular group is even more scarce. Objective. The main aim of this study was to validate a four-factor structure measurement model of the Health-promoting lifestyle Profile-II (HPLP-II) based on CFI, SRMR, and RMSEA among Kenyan undergraduate students Design. The study design was a cross-sectional analytical, that utilized quantitative methods Setting. The study was conducted in Kakamega County, located in Western Kenya. Analysis. Data were analyzed through confirmatory factor analysis, which was conducted using robust maximum likelihood estimation. The factor model was tested for validity and construct validity. Main outcome measures. Subscales physical activity, nutrition, interpersonal relationship and stress management of the Health-Promoting Lifestyle Profile II Results. After omission of some items due to high correlation with variables in the same factor, a final 34 item model was analyzed. The overall 34-item tool had a Cronbach's alpha of 0.79 indicating good reliability. The factors physical activity, stress management, nutrition, and interpersonal relationship had Cronbach coefficients of 0.70, 0.80,0.81 and 0.83 respectively. All the correlations were below the recommended cutoff point of 0.85, which indicated that the four-health promoting behavior factors achieved good discriminant validity. The RMSEA index was less than .08, RMSEA = 0.07, 90% CI = [0.07, 0.08], which is indicative of a good model fit. The SRMR was between .05 and .08, SRMR = 0.08, which implies that the model fits the data adequately, however the CFI (CFI=0.81 which is less than 0.9) and chi-square goodness of fit test (was significant χ 2 (318) = 686.69, p < .001,) indicated poor model fit. Conclusion. In conclusion, within the limitations of this study, the results showed that confirmatory factor analysis yielded a partially good final measurement model. This study recommended that further research should examine the replicability of the HPLP-II in more diverse Kenyan speaking populations.