Purpose: The purpose of this study was to examine relationships between perceived exercise benefits/barriers, competence, depression, and wellness, and then to identify influencing factors on the wellness of traditional market traders. Methods: One hundred eight persons working in a traditional market participated in the study of questionnaire. Data were analyzed using t-test, ANOVA, and multiple regression. Results: The scores were 2.82±0.66 for “perceived exercise benefits”, 1.84±0.42 for “perceived exercise barriers”, 4.68±1.56 for “competence”, 9.60±7.56 for “depression”, and 3.64±0.64 for “wellness”. Regression analysis to identify factors affecting the wellness of traditional market traders showed that “perceived exercise benefits” was the most significant factor (β=.32, p<.001), followed by “competence” (β=.04, p=.009) and “depression” (β=.17,p=.039).The explanatory power of these variables for wellness of traditional market traders was 53%. Conclusion Our findings suggest that perceived exercise benefits, competence and depression are significantly related to traditional market trader’s wellness. Therefore, wellness programs should be developed to reduce depression and improve perceived exercise benefits and competence.

Bus drivers are at high risk of chronic diseases due to risk factors associated with poor diet, physical inactivity, high levels of sedentary behaviors, and unfavorable working environments. This study developed a mHealth program for bus drivers, and examined the effectiveness of a mHealth program for promoting physical activity among bus drivers using wearable devices and health coaching. Methods: Forty-seven workers from two bus companies were allocated to the experimental group and the control group. Participants were asked to wear a wearable device (Fitbit Charge HR) during waking hours for a day. Participants in the experimental group were provided with a Fitbit, weekly face-to-face health coaching, a mHealth workbook, and text and photo messaging for 12 weeks. The control group only received a Fitbit. Results: By week 12, there were significant differences between the experimental and control groups in exercise self-efficacy (p<.015) and daily walking steps (p<.001). Conclusion: The findings have demonstrated that the mHealth program using wearable devices and health coaching is effective for bus drivers for promoting physical activity. Based on our findings, it is recommended to encourage the mHealth program using wearable devices and health coaching for bus drivers' wellness.