Time on our side: An exploratory investigation of the relationship between psychiatric disorder and time attitudes.

Time attitudes indicate how individuals feel about the past, present, and future. A growing body of research has demonstrated that scores on the Adolescent and Adult Time Inventory-Time Attitudes Scale relate meaningfully to a variety of measures of well-being and psychiatric symptomatology. To date, no study has examined how (if at all) Time Attitudes scores relate to psychiatric disorder. The present study used an existing clinical cohort (N = 68) and assessed the associations among time attitudes, lifetime disorder, and a retrospective measure of childhood trauma. Preliminary analyses revealed that mean scores of the six time attitudes in the present study did not differ substantially from scores reported in a recent meta-analysis. Correlations between time attitude scores and retrospective trauma scores were particularly large for past negative and past positive. Individuals with no past or current disorder reported substantially higher positive attitudes and substantially lower negative attitudes than those without a disorder across all three time periods with interpretable effect sizes. Finally, past negative time attitudes scores were significantly associated with lifetime mood or anxiety disorder, prior to adjustment for scores on self-reported childhood trauma. These results suggest that time attitudes could be a variable of consequence beyond feelings of general well-being and beyond psychiatric symptoms. More studies with larger sample sizes are required in order to examine the relationship between time attitudes and psychiatric disorder.

Time attitudes affecting psychological health during COVID-19 pandemic: a two-wave, six-month prospective study in Taiwan.

The COVID-19 pandemic has induced traumatic and fear responses globally. Time attitudes, which refer to one's feelings toward the past, present and future, may have certain effects on psychological adaptations during this crisis period. This study employed a person-centered approach and a two-wave prospective design to investigate how people with different time attitude profiles change differently in their PTSD symptoms and COVID-19-related fears from a low-risk stage to the first big COVID-19 outbreak in Taiwan. Participants were 354 adults with a mean age of 27.79 years. The result provided support for the theoretical six-factor structure of the traditional Chinese Adolescent and Adult Time Inventory-Time Attitudes Scale (AATI-TA). Four clusters of time attitude profiles were identified (Positives, Negatives, Past Negatives and Pessimists). At both waves, Positives had lower levels of PTSD severity and COVID-19-related fears than most of the other groups, and the reverse was noted for Negatives. As for time effects, people across all profiles were significantly affected during the outbreak, but Negatives showed a greater increase in PTSD severity than other groups. In conclusion, mental health services should put efforts into early identification of those with highly negative time attitudes and implement interventions that nudge people toward a more balanced or positive attitude in each temporal frame, especially during adversity such as the COVID-19 pandemic.

Searching for Something Positive in Future Negative: The Adolescent and Adult Time Inventory-Time Attitudes Scale.

The Adolescent and Adult Time Inventory-Time Attitudes Scale (AATI-TA) measures emotional engagement with the past, present, and future, and scores have been shown to relate meaningfully to health outcomes. For past, present, and future, five items are used to assess both positive and negative attitudes. Although evidence for the hypothesized six-factor solution has been widely reported, some studies have indicated problems with the Future Negative items. Given that a large and growing literature has emerged on the six-factor AATI-TA, and that AATI-TA scores have shown much better and more consistent fit than other temporal psychology measures, we sought to investigate the future negative factor in detail. Secondary analyses were performed on two datasets. The first was a University convenience sample (N = 410) and the second was an adolescent sample (N = 1,612). Confirmatory factor analyses revealed that the fit for the five Future Negative items was poor. Modification indices suggested that a correlated error term between Items 4 and 10 would result in good fit, and this was indeed the case. Models without Item 4 or Item 10 also yielded acceptable fit. Analyses using all four operationalizations of Future Negative (original scale, without Item 4 or Item 10, or with the correlated error between Items 4 and 10) to predict symptoms of anxiety and depression, and emotional self-efficacy revealed minor differences in the predictive validity coefficients. Potential ways forward, including a correlated error term or the dropping or replacement of Item 10, are discussed.