Dose-dependent changes in real-life affective well-being in healthy community-based individuals with mild to moderate childhood trauma exposure

The Relationship Between Self-Reported Childhood Maltreatment and Mental Health in Substance Use Disorders: A 6-Year Retrospective Analysis

OBJECTIVE

This longitudinal cohort study aims to investigate the relationship between self-reported childhood maltreatment (CM) and the retrospective trajectory of substance use, mental health, and satisfaction with life in individuals with substance use disorders.

METHODS

One hundred eleven treatment-seeking individuals with substance use disorder were recruited from clinical settings and monitored prospectively for 6 years. The participants' substance use, mental health, and satisfaction with life were assessed using standardized measures. Cluster analysis divided the cohort into two groups-low CM and high CM-based on their scores on the Childhood Trauma Questionnaire Short Form at year 6. Mixed-effects linear models were fitted to assess the association between longitudinal scores on drug use, mental health, and satisfaction with life and CM group.

RESULTS

Most participants (92%) reported at least 1 CM. Out of all participants, 36% were categorized into the high-CM group, while 59% were categorized into the low-CM group. CM group was not associated with the amount of substance or alcohol use. CM group was significantly associated with the longitudinal course of mental health and life satisfaction.

CONCLUSIONS

This study underscores the association between self-reported CM and mental health and life satisfaction in patients with substance use disorder. Our results may imply an increased risk of adverse outcomes in patients with high levels of CM, while bearing in mind that both current and retrospective mental health and substance use problems can influence the accuracy of recalling CM.

Using Ecological Momentary Assessments to Study How Daily Fluctuations in Psychological States Impact Stress, Well-Being, and Health

Despite great interest in how dynamic fluctuations in psychological states such as mood, social safety, energy, present-focused attention, and burnout impact stress, well-being, and health, most studies examining these constructs use retrospective assessments with relatively long time-lags. Here, we discuss how ecological momentary assessments (EMAs) address methodological issues associated with retrospective reports to help reveal dynamic associations between psychological states at small timescales that are often missed in stress and health research. In addition to helping researchers characterize daily and within-day fluctuations and temporal dynamics between different health-relevant processes, EMAs can elucidate mechanisms through which interventions reduce stress and enhance well-being. EMAs can also be used to identify changes that precede critical health events, which can in turn be used to deliver ecological momentary interventions, or just-in-time interventions, to help prevent such events from occurring. To enable this work, we provide examples of scales and single-item questions used in EMA studies, recommend study designs and statistical approaches that capitalize on EMA data, and discuss limitations of EMA methods. In doing so, we aim to demonstrate how, when used carefully, EMA methods are well poised to greatly advance our understanding of how intrapersonal dynamics affect stress levels, well-being, and human health.