understand an individual's intention to change a particular behavior and the factors that influence their ability to do so. Researchers analyzed the correlation between young adult women's intention to stop smoking and their perceived factors in the construction of HBM. The 58 participants were active adult women smokers between 16 and 30 years of age. Table 1 provides more background information while Table 2 shows the correlation between the participants perceived variables and the intention to stop smoking. Table 2 shows that all variables besides perceived barriers had a weak positive correlation. In regards to perceived susceptibility, the respondents agreed that they were vulnerable to the health and social consequences associated to women smokers; however, they did not fully believe that smoking would trigger such severe health concerns or social consequences therefore they had a low desire to stop smoking. Similarly, with perceived severity the respondents did not view their habits as having a severe consequence therefore they had a low desire to quit. Additionally, the perceived benefits had a weak positive correlation meaning that the individuals saw that the adoption of healthy behaviors would have a beneficial impact on their overall lifestyle. Perceived barriers showed a weak negative correlation meaning that the more barriers the individual associated with stopping smoking then the less likely they were to quit. Lastly, the perceived self-efficacy of respondents were low and this led to a low desire to quit smoking. The intention to stop smoking among young adult women had a significant correlation with the perceived factors of the Health Belief Model. Another use of the HBM was in 2016 in a study that was interested in examining the factors associated with physical activity among people with mental illness (PMI) in Hong Kong (Mo et al., 2016). The study used the HBM model because it was one of the most frequently used models to explain health behaviors and the HBM was used as a framework to understand the PMI physical activity levels. The study had 443 PMI complete the survey with the mean age being 45 years old. The survey found that among the HBM variables, perceived barriers were significant in predicting physical activity. Additionally, the research demonstrated that self-efficacy had a positive correlation for physical activity among PMI. These findings support previous literature that self-efficacy and perceived barriers plays a significant role in physical activity and it should be included in interventions.