Impact of Autonomy Support on the Association between Personal Control, Healthy Behaviors, and Psychological Well-Being among Patients with Hypertension and Cardiovascular Comorbidities.

A sense of control and autonomy are key components in guiding health-related behaviors and quality of life in people with chronic diseases. This study investigated whether autonomy support from health professionals moderates the impact of personal control on psychological well-being through healthy behaviors in patients with hypertension and cardiovascular comorbidities. Data from 149 hypertensive patients with comorbid cardiovascular risk factors were collected via self-administered surveys. A moderated mediation effect of a hypothesized model was analyzed using the PROCESS macro bootstrapping method. Autonomy support from health professionals moderated the relationship between personal control and healthy behaviors (B = 0.16, t = 2.48, p < 0.05), showing that the effect of personal control on healthy behaviors differed by the level of autonomy support. Additionally, autonomy support moderated the mediation effect of healthy behaviors in the relationship between personal control and psychological well-being (Index = 0.15; 95% CI = 0.010, 0.335). The mediation effect existed only in patients with higher autonomy support. The findings demonstrate that autonomy support from health professionals plays a crucial role in reinforcing the positive impact of personal control on healthy behaviors and psychological well-being. Enhancing the supportive attitudes of health professionals that facilitate patients' autonomous self-regulation is necessary for better health outcomes in people with combined cardiovascular diseases.

Estimating a breakpoint in the pattern of spread of COVID-19 in South Korea.

OBJECTIVES: Amid the global coronavirus disease 2019 (COVID-19) crisis, South Korea has been lauded for successfully preventing the spread of this infectious disease, which may be due to the aggressive implementation of preventive policies. This study was performed to evaluate the pattern of spread of COVID-19 in South Korea considering the potential impact of policy interventions on transmission rates. METHODS: A SIR (susceptible-infected-removed) model with a breakpoint that allows a change in transmission rate at an unknown point was established. Estimated trajectories of COVID-19 from SIR models with and without a breakpoint were compared. RESULTS: The proposed model with a break fitted the actual series of infection cases much better than the classic model. The estimated breakpoint was March 7, 2020 and the transmission rate dropped by 0.23 after the breakpoint. A counterfactual study based on our estimate indicated that the number of infected could have reached 2 500 000 compared to the peak of 8000 in the observed series. CONCLUSIONS: It is critical to consider a change in the transmission rate to evaluate the trajectory of spread of COVID-19 in South Korea. Our estimation and counterfactual experiments indicate that public health interventions may play a role in determining the pattern of spread of infectious diseases.