ABSTRACT
Objective@#Bipolar disorder often co-occurs with post-traumatic stress disorder, yet few studies have investigated the impact of post-traumatic stress disorder in bipolar disorder on treatment outcomes. The aim of this sub-analysis was to explore symptoms and functioning outcomes between those with bipolar disorder alone and those with comorbid bipolar disorder and post-traumatic stress disorder. @*Methods@#Participants (n = 148) with bipolar depression were randomised to: (i) N-acetylcysteine alone; (ii) a combination of nutraceuticals; (iii) or placebo (in addition to treatment as usual) for 16 weeks (＋4 weeks discontinuation).Differences between bipolar disorder and comorbid bipolar disorder and post-traumatic stress disorder on symptoms and functioning at five timepoints, as well as on the rate of change from baseline to week 16 and baseline to week 20, were examined. @*Results@#There were no baseline differences between bipolar disorder alone and comorbid bipolar disorder and post-traumatic stress disorder apart from the bipolar disorder alone group being significantly more likely to be married (p = 0.01). There were also no significant differences between bipolar disorder alone and comorbid bipolar disorder and post-traumatic stress disorder on symptoms and functioning. @*Conclusion@#There were no differences in clinical outcomes over time within the context of an adjunctive randomised controlled trial between those with bipolar disorder alone compared to those with comorbid bipolar disorder and post-traumatic stress disorder. However, differences in psychosocial factors may provide targets for areas of specific support for people with comorbid bipolar disorder and post-traumatic stress disorder.
ABSTRACT
The exact transmission route of many respiratory infectious diseases remains a subject for debate to date. The relative contribution ratio of each transmission route is largely undetermined, which is affected by environmental conditions, human behavior, the host and the microorganism. In this study, a detailed mathematical model is developed to investigate the relative contributions of different transmission routes to a multi-route transmitted respiratory infection. It is illustrated that all transmission routes can dominate the total transmission risk under different scenarios. Influential parameters considered include dose-response rate of different routes, droplet governing size that determines virus content in droplets, exposure distance, and virus dose transported to the hand of infector. Our multi-route transmission model provides a comprehensive but straightforward method to evaluate the transmission efficiency of different transmission routes of respiratory diseases and provides a basis for predicting the impact of individual level intervention methods such as increasing close-contact distance and wearing protective masks. (Word count: 153) HighlightsO_LIA multi-route transmission model is developed by considering evaporation and motion of respiratory droplets with the respiratory jet and consequent exposure of the susceptible. C_LIO_LIWe have illustrated that each transmission route may dominate during the influenza transmission, and the influential factors are revealed. C_LIO_LIThe short-range airborne route and infection caused by direct inhalation of medium droplets are highlighted. C_LI