An improved method for counting stressful life events (SLEs) when predicting mental health and wellness

Abstract

Objective: Checklists for registering stressful life events (SLEs) generally correlate negatively, but weakly, with mental health outcome measures. Thus, the present study examined various methodological approaches for improving these relationships.

Design: A total of 1679 participants (women = 943, men = 736, M age-39.8) were randomly drawn from the general Norwegian population (response rate 34%). This prospective cohort study included two follow-ups at 10 (n = 1181) and 23 months (n = 942).

Main outcome measures: Satisfaction with life and absence of psychological distress (i.e. anxiety and depression) represented a joint measure for indexing ‘mental wellness’ (MW).

Results: A simple count of SLEs weakly predicted MW, as expected, whereas the addition of a moderator (i.e. manageability of the event) substantially improved predictive power. Four additional moderators were examined: duration, impact, help-seeking and time since onset, but these were non-significant after inserting manageability into the model. This SLE counting method also retained its predictive power after including multiple criterion-related variables that substantially adjusted the longitudinal statistical model.

Conclusion: This new SLE counting method exhibited a considerable improvement to predicting mental health and well-being. It is well suited for use in epidemiological research requiring a short SLE checklist format with high predictive power.

Keywords:

• Stressful life events
• best methodological approach
• prediction
• mental wellness

Disclosure Statement

No potential conflict of interest was reported by the author.

Notes

1 The author would like to thank the anonymous reviewer for raising this issue.