Background.-High levels of positive mental health protects individuals from mental illness. This study investigates longitudinal change in positive mental health as a predictor of mental illness recovery in a cohort group. Methods.-Using data from the 1995 and 2005 Midlife in the United States cross-sectional surveys (n=1,723), logistic regression was used to estimate the odds ratio that individuals diagnosed with a mental illness in 1995 would have recovered in 2005 based on whether their level of positive mental health changed over the 10-year period. Results.-Individuals who maintained or gained the highest levels of positive mental health were more than 27.6 and 7.4 times, respectively, more likely to recover when compared to those who maintained the lowest level of positive mental health. Those who maintained or gained moderate levels of positive mental health had more moderate likelihood of recovery, and those whose positive mental health declined to the lowest levels had no significantly different likelihood of recovery compared to participants whose positive mental health remained low. Limitations.-This study was limited by the age of the data, and the inability to control for some predictors of recovery.

(1) Background: While the prevalence of tobacco smoking in the general population has declined, it remains exceptionally high for smokers with severe mental illness (SMI), despite significant public health measures. This project aims to adapt, pilot test and evaluate a novel e-health smoking cessation intervention to assist relapse prevention and encourage sustained smoking cessation for young adults (aged 18–29 years) with SMI. (2) Methods: Using co-design principles, the researchers will adapt the Kick.it smartphone App in collaboration with a small sample of current and ex-smokers with SMI. In-depth interviews with smokers with SMI who have attempted to quit in the past 12 months and ex-smokers (i.e., those having not smoked in the past seven days) will explore their perceptions of smoking cessation support options that have been of value to them. Focus group participants will then give their feedback on the existing Kick.it App and any adaptations needed. The adapted App will then be pilot-tested with a small sample of young adult smokers with SMI interested in attempting to cut down or quit smoking, measuring utility, feasibility, acceptability, and preliminary outcomes in supporting their quit efforts. (3) Conclusions: This pilot work will inform a larger definitive trial. Dependent on recruitment success, the project may extend to also include smokers with SMI who are aged 30 years or more.

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