The Q-Life experience: An evaluation of an employee resilience program

BACKGROUND

Many employers are turning to training programs to help them cope or flourish in life. Many programs on the market have not been validated.

OBJECTIVE

The objective was to evaluate the effect building awareness and skill development can have on sustaining high resilience within a group of employees.

METHODS

524 participants completed the 44 itemed Q-Life assessment. A CFA model was conducted to determine whether the Q-Life score, adequately describes the data. 116 employees signed up to the Q-Life experience with 64 completing all requirements.

RESULTS

The RMSEA index was less than 0.08, RMSEA = 0.07, 90%CI = [0.07, 0.07], which is indicative of a good model fit. The mean of score for resilience on the first test (M = 249.91) was significantly lower than the mean of post-test (M = 264.91).

CONCLUSIONS

The results indicated that the model demonstrated acceptable fit to the data and can be used as an assessment tool for the Q-Life. The Q-Life experience showed significant improvement in resilience.

Results from a randomized controlled trial testing StressProffen; an application-based stress-management intervention for cancer survivors

Background

In‐person cognitive‐behavioral stress‐management interventions are consistently associated with reduced cancer distress. However, face‐to‐face delivery is an access barrier for many patients, and there is a need to develop remote‐delivered interventions. The current study evaluated the preliminary efficacy of an application (app)‐based cancer stress‐management intervention, StressProffen, in a randomized controlled trial.

Methods

Cancer survivors, maximum 1‐year posttreatment (N = 172), were randomized to StressProffen (n = 84) or a usual care control group (n = 88). Participants received a blended delivery care model: (a) one face‐to‐face introduction session, (b) 10 app‐based cognitive‐behavioral stress‐management modules, and (c) follow‐up phone calls at weeks 2‐3 and 6‐7. Outcome measures included stress (Perceived Stress Scale), anxiety and depression (Hospital Anxiety Depression Scale), and health‐related quality of life (HRQoL; Short‐Form Health Surveys [SF‐36]) at 3‐months post‐intervention, analyzed with change scores as dependent variables in linear regression models.

Results

Participants were primarily women (82%), aged 20‐78 years (mean 52, SD 11.2), with mixed cancer types (majority breast cancer; 48%). Analysis of 149 participants completing questionnaires at baseline and 3 months revealed significant intervention effects: decreased stress (mean difference [MD] −2.8; 95% confidence interval [CI], [−5.2 to −0.4]; P = .022) and improved HRQoL (Role Physical MD = 17.7, [CI 3.7‐31.3], P = .013; Social Functioning MD = 8.5, [CI 0.7‐16.2], P = .034; Role Emotional MD = 19.5, [CI 3.7‐35.2], P = .016; Mental Health MD = 6.7, [CI 1.7‐11.6], P = .009). No significant changes were observed for anxiety or depression.

Conclusions

Digital‐based cancer stress‐management interventions, such as StressProffen, have the potential to provide easily accessible, effective psychosocial support for cancer survivors.

Emotional intelligence and emotions associated with optimal and dysfunctional athletic performance

This study investigated relationships between self-report measures of emotional intelligence and memories of pre-competitive emotions before optimal and dysfunctional athletic performance. Participant-athletes (n = 284) completed a self-report measure of emotional intelligence and two measures of pre-competitive emotions; a) emotions experienced before an optimal performance, and b) emotions experienced before a dysfunctional performance. Consistent with theoretical predictions, repeated MANOVA results demonstrated pleasant emotions associated with optimal performance and unpleasant emotions associated with dysfunctional performance. Emotional intelligence correlated with pleasant emotions in both performances with individuals reporting low scores on the self-report emotional intelligence scale appearing to experience intense unpleasant emotions before dysfunctional performance. We suggest that future research should investigate relationships between emotional intelligence and emotion-regulation strategies used by athletes. Key pointsAthletes reporting high scores of self-report emotional intelligence tend to experience pleasant emotions.Optimal performance is associated with pleasant emotions and dysfunctional performance is associated with unpleasant emotions.Emotional intelligence might help athletes recognize which emotional states help performance.