Association between behavioral phenotypes and sustained use of smartphones and wearable devices to remotely monitor physical activity

COVID Vaccine Hesitancy and Risk of a Traffic Crash

BACKGROUND

Coronavirus disease (COVID) vaccine hesitancy is a reflection of psychology that might also contribute to traffic safety. We tested whether COVID vaccination was associated with the risks of a traffic crash.

METHODS

We conducted a population-based longitudinal cohort analysis of adults and determined COVID vaccination status through linkages to individual electronic medical records. Traffic crashes requiring emergency medical care were subsequently identified by multicenter outcome ascertainment of all hospitals in the region over a 1-month follow-up interval (178 separate centers).

RESULTS

A total of 11,270,763 individuals were included, of whom 16% had not received a COVID vaccine and 84% had received a COVID vaccine. The cohort accounted for 6682 traffic crashes during follow-up. Unvaccinated individuals accounted for 1682 traffic crashes (25%), equal to a 72% increased relative risk compared with those vaccinated (95% confidence interval, 63-82; P < 0.001). The increased traffic risks among unvaccinated individuals extended to diverse subgroups, was similar to the relative risk associated with sleep apnea, and was equal to a 48% increase after adjustment for age, sex, home location, socioeconomic status, and medical diagnoses (95% confidence interval, 40-57; P < 0.001). The increased risks extended across the spectrum of crash severity, appeared similar for Pfizer, Moderna, or other vaccines, and were validated in supplementary analyses of crossover cases, propensity scores, and additional controls.

CONCLUSIONS

These data suggest that COVID vaccine hesitancy is associated with significant increased risks of a traffic crash. An awareness of these risks might help to encourage more COVID vaccination.

Comparison of Participation in Strength Activity Between Wearable Device Users and Nonusers: 2017 Behavioral Risk Factors Surveillance System

BACKGROUND

There are many benefits associated with engaging in strength physical activity. Many studies did not examine the engagement of strength activity among wearable device users. This study aimed to examine the association between wearable device usage and engagement of strength activity in free-living settings using nationally representative data.

METHODS

A total of 8250 adult wearable device users and nonusers from 8 states of the 2017 Behavioral Risk Factors Surveillance System were included in analysis. Multiple regression models were performed to determine the association between the dependent variables of strength activities and the independent variable of wearable devices.

RESULTS

Wearable device users were 1.26 (95% confidence interval, 1.01-1.81) times the odds of nonusers in engaging in strength activity. Users also had higher odds of meeting both the strength and aerobic physical activity guidelines than nonusers (odds ratio = 1.49; 95% confidence interval, 1.07-2.06; adjusted odds ratio = 1.43; 95% confidence interval, 1.02-2.00). No associations were found between wearable device utilization and frequency of strength activity per week.

CONCLUSION

Wearable device users were more likely to engage in strength activity than nonusers. However, additional studies are needed to determine the effectiveness of wearable devices in promoting strength activity.