Abstract
Global restrictions imposed during the COVID-19 pandemic significantly limited the capacity to plan for the future. Little is known about young people’s future self-images and the impact the COVID-19 pandemic may have had upon them. Given evidence that the ability to imagine a positive future can be protective for mental health, research into the impact of the pandemic on future self-imagery is needed. In two studies, we therefore explored the consequences of the COVID-19 pandemic for future self-imagery in an unselected sample of young people in Sweden, specifically: (a) how content and characteristics of future self-images changed from before to during the pandemic, and (b) how such change was related to trauma history, intrusive memories of COVID-19 media footage, past time perspective and optimism (assessed with questionnaires/intrusive memory diary). Future self-images before and during the pandemic were assessed using the ‘I Will Be’ task (NStudy1=74; NStudy2=99). A mixed methods design, combining quantitative analysis, qualitative content coding and thematic analysis was used. Exploratory results of Study 1 indicated that future images were rated as less positive during than before the pandemic and that this reduction was less pronounced in people with higher optimism. Results were replicated in an independent sample (Study 2, collected later during the pandemic). In conclusion, whilst the findings are preliminary and emerged from an unselected sample, they prompt the suggestion that brief, novel interventions which aim to bolster positive future imagery may hold promise as a scalable means by which to enhance mental health for young people in the context of the COVID-19 pandemic.
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Introduction
The ability to imagine the future is a fundamental skill. Images of positive events in the future inspire hope, motivate goal-setting, and guide us in taking steps to achieve them (Heise et al., 2022; Kress & Aue, 2017). The global restrictions imposed to mitigate the spread of COVID-19 significantly limited the capacity to plan for the future. The possibility that disruptions to future planning influenced individuals’ self-imagery has, to the best of our knowledge, not been studied to date. Adverse mental health consequences of the pandemic have been documented across the population (Holmes et al., 2020; McCracken et al., 2020), including in young people (Creswell et al., 2021; Racine et al., 2021). Whilst recent research has examined the association between how people remember pandemic-related events and thought about the future and psychological well-being (Niziurski & Schaper, 2021), such work has focused on future thinking (i.e., verbal thoughts) rather than future imagery. Given evidence that the ability to imagine a positive future can be protective for mental health, research into the impact of the pandemic on future self-imagery is needed (Holman et al., 2022; Holman & Grisham, 2020).
Links between psychological wellbeing and future imagery are well-established. For example, depression symptoms are associated with a deficit in generating vivid images of positive future events (Holmes et al., 2008) and a lack of spontaneous positive future imagery is linked to diminished mood, motivation and optimism (Ji et al., 2021a, b). Imagery of the future can also be disrupted following traumatic or stressful events. For instance, focusing on the past rather than the future is related to distress following a traumatic event (Holman & Silver, 1998). Further, Kleim et al. (2014) found that individuals with posttraumatic stress disorder (PTSD) provided fewer specific images of future events in response to positive (but not negative) cues relative to trauma-exposed individuals without PTSD. These findings converge on the suggestion that future imagery is compromised in traumatised individuals.
Recurrent and distressing intrusive memories of a traumatic event are a key symptom of PTSD (American Psychiatric Association, 2013). The constructive episodic simulation hypothesis (Schacter & Addis, 2007) holds that recalling the past and imagining the future recruit overlapping cognitive and neural processes (Conway et al., 2019). It follows that if a traumatised individual is ‘stuck in the past’ such that they experience recurrent intrusive memories of a trauma, their capacity to vividly imagine the future will be restricted.
Several questions await empirical test. To our knowledge, whilst some research has examined future imagery in PTSD, no study has examined self-related future imagery in the context of an ongoing trauma or stressor. Evidence that individuals with PTSD perceive their trauma as being at the centre of their identity (Brown et al., 2010) and view their past (pre-trauma) self more favourably than their current or future selves (Brown et al., 2011) raises the possibility of an association between psychological trauma and future self-imagery. Further, no research has investigated future self-imagery soon after a trauma, whether individuals’ future self-imagery changes over the course of experiencing a stressor such as the COVID-19 pandemic, nor whether such changes are associated with trauma-related sequelae (e.g., intrusive memories) or optimism.
To fill these gaps in the literature, we used a naturally occurring (rather than laboratory) stressor, the COVID-19 pandemic, to explore the consequences of ongoing trauma for future self-imagery in young people. We used a novel task assessing future imagery rather than future thinking and conducted two studies during different stages of the COVID-19 pandemic. Data for study 1 was collected during the second and third wave of the pandemic in Sweden and used to explore the effect of the pandemic on future self-imagery, as well as the relationship between changes in self-imagery and other (trauma-related) variables. Data for Study 2 was collected during the fourth wave of the COVID-19 pandemic in Sweden and used as a test of replication (for the hypotheses generated in Study 1 and pre-registered prior to data analysis) on an independent dataset.
Exploratory research questions
How do the content and characteristics of young people’s future self-images change from before to during the COVID-19 pandemic in Sweden? How is such change related to other (trauma-related) variables (i.e., trauma history, intrusive memories of COVID-19 media footage, past time perspective and optimism)?
Study 1 methods
Data were collected in the context of a randomized two-group experimental study investigating the feasibility of delivering the trauma film paradigm, a brief cognitive intervention/control task, and a daily intrusion diary remotely/digitally during the COVID-19 pandemic (ClinicalTrials.gov ID: NCT04608097, prospectively registered on 29/10/2020) (Annersand, 2021). Experimental protocols were based on previous studies in our laboratory, and adapted for remote delivery with researcher guidance to adhere to guidelines on social distancing during the COVID-19 pandemic. Study procedures were completed electronically using the data collection tool Qualtrics (Qualtrics, 2015). We employed a mixed methods design, combining quantitative analysis, qualitative content coding and thematic analysis.
Participants
An unselected sample of seventy-four participants (50 women, 24 men; 18 to 45 years old, M = 23.84, SD = 4.75) was recruited via social media advertisements targeting Swedish university students between October 2020 and March 2021 (i.e., during the second and third wave of the COVID-19 pandemic in Sweden). Inclusion criteria were: aged 18–65; fluent in spoken and written Swedish; willing to watch a video containing emotional, distressing footage; having access to an internet enabled smartphone/computer. Exclusion criteria were: having participated in a study in which similar stimuli were used; currently receiving treatment for a mental health problem (e.g., depression, anxiety, ADHD, addiction), including psychological therapy, counselling or medication; neurological illness (e.g., epilepsy); planning to undertake a stress-inducing examination (e.g., university examination or driving test) during the week of study participation.
All participants provided their digital written and informed consent prior to participating and were informed that they could end their participation at any time. All procedures were approved by the Swedish Ethical Review Authority (approval number: 2020–03991) and carried out in accordance with the ethical guidelines of the Declaration of Helsinki (World Medical Association, 2018). Participants were reimbursed with a book voucher (value 200 Swedish crowns).
Measures
Modified I will be task
A modified version of the I Will Be Task (Chessell et al., 2013; Rathbone et al., 2011) was used to measure future self-imagery before and during the COVID-19 pandemic. Participants were instructed to generate three ‘I will be’ statements (e.g., I will be more active) describing how they imagined themselves in the future (future self-identity) before the COVID-19 pandemic in relation to social/occupational/other important situations (free text response). Participants were then instructed to indicate which of these three future identities had been most affected by the COVID-19 pandemic (if none had been affected by the pandemic, they were instructed to choose their most important future identity). Next, participants were asked to briefly describe a specific mental image they had of themselves in the future in relation to this identity before the COVID-19 pandemic. While keeping this image in mind, participants rated its vividness (Likert scale from 1 ‘not vivid at all’ to 10 ‘very vivid’), valence (1 ‘very negative’ to 10 ‘very positive’) and perspective (‘through own eyes’ or ‘as if seeing oneself from the outside’), and indicated the presence of other people in the image (‘none’ or ‘__ other people were present’), the regularity of rehearsal of the image (1 ‘never’ to 10 ‘very regularly’), the likelihood that it would become reality (1 ‘not at all likely’ to 10 ‘very likely’), and how old they will be in the image. Next, participants briefly described how the COVID-19 pandemic had impacted the image. Last, participants were asked to briefly describe a specific mental image they had of themselves in relation to the same identity now, during the COVID-19 pandemic and complete the same ratings while keeping this second image in mind.
Life Event Checklist for DSM-5(LEC-5) (Weathers et al., 2013)
Trauma history was measured with the LEC-5, a 17-item self-report questionnaire used to screen for potentially traumatic events over the lifetime. For each item/event respondents indicate one of the following: ‘happened to me’, ‘witnessed it’, ‘learned about it’, ‘part of my job’, ‘not sure’ or ‘doesn’t apply’. A total score was calculated by adding the number of events endorsed as ‘happened to me’, ‘witnessed it’, or ‘part of my job’ (see Lebeaut et al., 2020; Singh et al., 2021). Higher scores indicate a higher number of prior traumatic events. Reliability in the current sample was α = 0.728.
Digital intrusive memory diary (Singh et al., 2021)
The number of intrusive memories related to the trauma film was assessed in a seven-day digital intrusive memory diary (adapted from a previously used pen-and-paper version) (James et al., 2015; Lau-Zhu et al., 2019). Once daily participants received an email with a link and were asked to indicate how many intrusive memories they experienced since the last registration using a drop-down menu (0 to 30) and to provide a brief description of each memory. Intrusive memories were defined as mental images (including other senses, e.g., sounds) related to the trauma film that come to mind spontaneously and are unwanted, and typically short, fragmented or fleeting. Participants were told not to record memories that were retrieved deliberately or that were purely verbal. Participants were given written and verbal instructions (via video) about how to complete the diary; their understanding of the instructions, the definition of intrusive memories and how to complete the diary were checked by a researcher in a follow-up phone call. Intrusion diary data has been shown to correspond with scores on the Intrusion subscale of the Impact of Event Scale (Horowitz et al., 1979)/Impact of Event Scale – Revised (Weiss et al., 1997) (moderate correlation, r = .487), a widely used questionnaire measure of intrusion symptoms (Singh et al., 2022).
Time Perspective Questionnaire (TPQ) (Holman et al., 2016)
Time perspective was measured with the Time Perspective Questionnaire, an 8-item self-report questionnaire assessing the extent to which respondents agree with statements about the past (e.g., ‘It is hard for me to forget unpleasant images of my past’), present (e.g., ‘I try to live one day at a time’) and future (e.g., ‘My plans about the future are pretty well laid out’) on a 5-point scale from 1 ‘not at all true’ to 5 ‘completely true’. Three subscale scores were calculated by summing item scores for past, present and future perspective. Higher scores indicate higher levels of past, present, and future perspective. Reliability was α = 0.620 for future time perspective, α = 0.808 for present time perspective, and α = 0.773 for past time perspective.
Future Expectancy Scale (FES) (Peters et al., 2016)
Optimism was measured using the future expectancy scale, a self-report questionnaire assessing expectancies about 10 positive future life events (e.g., ‘You will live a long life’). Each event is rated regarding how likely it is to happen in one’s future on a 7-point scale ranging from 1 (‘not at all likely’) to 7 (‘extremely likely’). A total score is calculated by summing all items. Higher scores indicate more optimistic/positive future expectancies. Reliability in the current sample was α = 0.881.
Procedure
After providing written and informed consent, participants completed baseline questionnaires (e.g., demographics, LEC-5). Participants then viewed a trauma film consisting of 12 short film clips depicting serious illness and death in relation to the COVID-19 pandemic (e.g., seriously ill or dead patients in a hospital, desperate hospital staff, relatives mourning their family members who died from COVID-19; all clips were derived from the public domain such as news/media footage and compiled by research assistants in our lab). Next, participants completed the intervention or control task investigated within the wider project (not relevant for the current study) and received instructions as to complete the digital intrusive memory diary. At the follow-up session one week later, participants completed the I Will Be Task (main outcome of the current study), as well as additional questionnaires (e.g., TPQ, FES; see flow chart in Supplementary Fig. 1).
Data analysis
The main outcome of the current study was the I Will Be task, which was administered at the end of all study procedures and unrelated to the group design of the wider project. Task instructions were anchored to effects of the COVID-19 pandemic in general, rather than to any aspect of the other study procedures (e.g., experimental manipulations – trauma film, intervention/control task). Accordingly, the whole sample was included in the current ancillary analysis. All analyses were performed using JASP for Windows, version 0.14.1 (JASP Team, 2021). Coding and thematic analyses were conducted in Microsoft Excel for Windows (2013).
Qualitative analyses
Qualitative data (from the I Will Be Task) was analysed using different coding schemes (see Supplementary Tables S1-S3). All coding was conducted independently by two research assistants. Any disagreements between the coders were discussed with an additional senior researcher (LS), and decisions about final category allocation were made jointly.
A coding scheme developed by Rathbone et al. (2016) was used to group participants’ ‘I Will Be’ (future identity) statements related to social, occupational and other important situations into one of 28 possible categories (e.g., ‘marriage’, ‘parenthood’). Coders were instructed to only code the first statement if more than one category was described within an ‘I Will Be’ statement (e.g., ‘I will be a husband and father’). Cohen’s kappa indicated substantial to almost perfect agreement (κ = 0.66 – 0.85) between the independent coders (see Supplemental Table S4 for Kappa values for each part of the coding schemes).
To analyse whether and how the content of participants’ future images related to their ‘I Will Be’ statement changed from before to during the pandemic, descriptions were coded into three categories: (1) no change (the image during the pandemic is the same as before the pandemic); (2) the image content has changed to a different/adaptive way forward (e.g., the image has been adjusted to one that is possible under pandemic conditions but is similar in valence/quality), (3) the image content is weaker (e.g., the image is described as less clear, less likely to happen, to happen further away in the future) or less positive than before the pandemic. These three categories were established by LS and CR using a bottom-up approach of identifying key topics in the raw data. Cohen’s kappa indicated substantial agreement (κ = 0.69) between the independent coders.
Furthermore, descriptions of participants’ future images were coded for specificity using a coding framework developed by LS and CR for the current study (loosely based on Baddeley & Wilson, 1986). Specifically, descriptions were coded for the presence or absence of the following five features: (1) Is a specific time constrained image/event described? (2) Does the description include information on who is in the image? (3) Does the description include information on where the image/event takes place? (4) Does the description include information on when the image/event takes place? (5) Does the description include information on what is happening in the image/event? Both coders were blind to whether the image description referred to before the COVID-19 pandemic or during the pandemic and the dataset used for coding did not contain this information, i.e., statements were listed alphabetically, not organised by time (although note that the content of some image descriptions inevitably revealed whether it referred to before or during the pandemic). Cohen’s kappa indicated slight to almost perfect agreement (κ = 0.19 – 0.85) between the independent coders.
Quantitative analyses
Descriptive analyses were conducted to present frequencies of different categories of future self-identities that had changed most during the COVID-19 pandemic and whether/how the content of mental images related to those future identities had changed. Characteristics of the mental images rated in relation to how they were experienced before and during the pandemic were compared using non-parametric Wilcoxon Signed-Rank Tests (given that data were not normally distributed). Effect sizes are reported as Rank-Biserial Correlations. Associations between changes in characteristics of mental images and other (trauma-related) variables were explored using Spearman’s Rho Correlations. Differences in other trauma-related variables between participants whose future image content had been categorized as no change, different/adaptive way forward, and weaker/less positive were explored using one-way ANOVAs (if data were normally distributed) or non-parametric Kruskal-Wallis Tests. Post-hoc pairwise comparisons were done using Tukey correction (for one-way ANOVAs) and Bonferroni correction (for Kruskal-Wallis Tests) for multiple tests. A two-tailed alpha level of 0.05 was used for all analyses. Given the exploratory nature of the study, results are interpreted with caution. Effect sizes are reported as Cohen’s d (t-tests) and partial η2 (one-way ANOVAs).
Thematic analysis
Relevant themes in participants’ open responses to the question ‘How did the COVID-19 pandemic impact your future image?’ were explored using thematic step-wise analysis (based on Braun & Clarke, 2006) conducted by two research assistants and supervised by a senior researcher (LS). The analysis (guided by the research question) included the following 5 steps: (1) Familiarization with the data, (2) creating codes from the raw data (i.e., highlighting relevant sections of text using the same colour for similar aspects and identifying matching codes), (3) grouping codes into themes (i.e., identifying overlapping patterns among codes and generating broader themes), (4) reviewing and revising themes by going back to the raw data, (5) defining and naming themes.
Study 1 results
Most impacted future identities among young people during the COVID-19 pandemic
When asked which future identity has been most impacted by the COVID-19 pandemic, most participants (n = 32, 43.2%) chose their future identity in ‘other important situations’, 23 participants (31.1%) chose their future identity in ‘social situations’, and 19 participants (25.7%) chose their future identity in ‘occupational situations’. Table 1 presents specific categories and examples of future identities participants described as having been most impacted by the pandemic.
Changes in content of mental images related to those future identities during the pandemic (researcher coded)
30 participants (40.5%) described the same image content or stated that the image had not changed (e.g., ‘No difference’, ‘It is the same as before. I’m surrounded by my family and we grow parts of our food at home’). 23 participants (31.1%) described images that had changed to a different/adaptive (with regards to the pandemic) way forward (e.g., ‘Arranges events in a creative way, e.g., outside/online’, ‘I see myself having dinners with my friends over zoom’). 21 participants (28.4%) described images that were weaker/less positive (e.g., ‘Unsure, no idea of when we can travel again or what the future looks like. Hard to get a clear picture’, ‘I still see myself as a doctor in the future, but it is more stressful. I look exhausted’).
Changes in characteristics of mental images related to future identities during the pandemic
Changes in specificity of the mental images participants described in relation to the future identity that had been most impacted by the pandemic (rated by the researcher) and other image characteristics (rated by the participants) are summarized in Table 2 below. Mental images were rated as less positive (large effect according to Cohen, 1988), more vivid, and with fewer other people present (medium effects) during as compared to before the pandemic.
Association between change in valence ratings of mental images and other (trauma-related) variables
The more prior trauma participants had experienced (LEC-5), the more negative their future self-image became from pre-pandemic to during the pandemic (r = − .317, p = .006). Similarly, the higher number of intrusive memories of COVID-19 media footage participants experienced (r = − .266, p = .022), and the higher ratings of past time perspective they reported (r = − .328, p = .004), the more negative their future self-image became from pre-pandemic to during the pandemic. In contrast, the more optimistic participants were, the less negative their future image became from pre-pandemic to during the pandemic (r = .327, p = .004); see Fig. 1 below.
Change of mental image content and other (trauma-related) variables
When comparing participants whose future image content had not changed, changed to a different/adaptive way forward, or became weaker or less positive, there was a significant between-group difference for the number of prior traumas, (H(2) = 8.775, p = .012). Specifically, participants whose future image content had not changed during the pandemic reported significantly fewer prior traumas than participants whose future image content was weaker/less positive during compared to before the pandemic (p = .005). Similarly, there was a significant difference in past time perspective between categories (H(2) = 7.892, p = .019), such that participants whose future image content was weaker/less positive (p = .017) and those participants whose future image content changed to a different/adaptive way forward (p = .046) during compared to before the pandemic reported significantly higher past perspective than those whose future image content had not changed.
Furthermore, there was a significant difference in optimism between categories (H(2) = 6.643, p = .036). Specifically, participants whose future image content had not changed during the pandemic reported significantly higher optimism than participants whose future image content was weaker/less positive during compared to the pandemic (p = .015). No differences emerged for the number of intrusive memories of COVID-19 media footage (H(2) = 4.952, p = .084), see Fig. 2 for details.
Themes in how the COVID-19 pandemic impacted young people’s future images
A thematic analysis conducted to identify themes in participants’ descriptions of how the pandemic has impacted the mental images related to their future identities revealed four main themes, each including several subthemes (see Table 3 for details and participant quotes).
Study 1 discussion
Study 1 aimed to explore whether the content and characteristics of young people’s future self-images changed from before to during the COVID-19 pandemic in Sweden, and how such change was related to other trauma-related variables (i.e., trauma history, intrusive memories of COVID-19 media footage, past time perspective) and optimism. Exploratory analyses indicated that the content of future self-images (researcher-rated) had not changed for c. 40% of participants, whereas it had changed to a different/adaptive way forward (c. 30%) or a weaker/less positive image (c. 30%) for the remaining participants. Participants rated their future self-images as less positive and more vivid and with fewer other people present during compared to before the COVID-19 pandemic. Greater changes in valence of future images (i.e., toward a more negative version) were associated with more prior trauma, more intrusive memories of COVID-19 media footage, and higher ratings of past time perspective. In contrast, the more optimistic participants were, the smaller the change in their ratings of the valence of future images (i.e., toward a more negative version). Similar patterns emerged between the researcher-rated categories regarding changes in participants’ future image content. Specifically, participants whose future images changed to a weaker/less positive version reported more prior trauma, more past time perspective and less optimism than participants whose future images did not change from before to during the pandemic. We tested whether these findings were replicated in an independent dataset in Study 2.
Study 2 methods
Data were collected in the context of a second, independent randomized two-group experimental trial using similar procedures, with slight adaptations to the procedures of Study 1 (ClinicalTrials.gov ID: NCT05063825, prospectively registered on 01/10/2021) (Wallin, 2021). Unless otherwise specified, methods and materials used in Study 2 were identical to Study 1.
Participants
Ninety-nine non-clinical participants (71 women, 25 men, 2 non-binary, 1 other gender identity; 18 to 65 years old, M = 25.73, SD = 7.57) recruited between October and December 2021 (i.e., during the fourth wave of the COVID-19 pandemic in Sweden) took part.
Measures
Life Event Checklist for DSM-5 (LEC-5) (Weathers et al., 2013)
Reliability in the Study 2 sample was α = 0.829.
Time Perspective Questionnaire (TPQ) (Holman et al., 2016)
Reliability was α = 0.674 for future time perspective, α = 0.778 for present time perspective, and α = 0.852 for past time perspective.
Future Expectancy Scale (FES) (Peters et al., 2016)
Reliability in the Study 2 sample was α = 0.901.
Procedure
Most study procedures were identical to Study 1. However, in Study 2, participants who rated their distress related to the COVID-19 trauma film as less than 5 (on a scale from 0 to 10) were excluded from the study after film viewing.
Data analysis
Qualitative analyses
Coding of changes in the content of future images was conducted independently by a research assistant and LS. Any disagreements between coders were discussed and decisions about final category allocation were made jointly. Cohen’s kappa indicated moderate agreement (κ = 0.45) between the independent coders.
Quantitative analyses
Based on the results of Study 1, we pre-specified the analyses we planned to conduct on the independent dataset of Study 2 (see https://osf.io/pvx87/ for the statistical analysis plan published prior to Study 2 data analysis on 09-02-2022).
Study 2 results
Changes in content of mental images related to those future identities during the pandemic (researcher coded)
48 participants (48.5%) described the same image content or stated that the image had not changed (e.g., ‘I have the same image as before, I will be a person with many interests’, ‘The image looks the same’). 35 participants (35.4%) described images that had changed to a different/adaptive (with regards to the pandemic) way forward (e.g., ‘I will sit in a zoom meeting with people from other countries’, ‘I see myself having few but very close friends’). 16 participants (16.2%) described images that were weaker/less positive (e.g., ‘Very unclear, but I tend to seeing myself lonely without belonging to a group’, ‘Sitting home alone and not being able to meet so many people because of the restrictions’).
Changes in characteristics of mental images related to future identities during the pandemic
Changes in image characteristics (rated by the participants) are summarized in Table 2. Mental images were rated as less positive, more vivid, with fewer other people present, and with oneself being older compared to one’s current age (medium effects) during as compared to before the pandemic (Table 4).
Association between change in valence ratings of mental images and other (trauma-related) variables
No significant associations emerged between the change in participants’ valence rating from before to during the pandemic and their trauma history (r = − .094, p = .354), number of intrusive memories of COVID-19 media footage (r = − .041, p = .688) or ratings of past time perspective (r = − .087, p = .394). However, the more optimistic participants were, the less negative their future image became from pre-pandemic to during the pandemic (r = .203, p = .044); see Fig. 3 below.
Change of mental image content and other (trauma-related) variables
When comparing participants whose future image content had not changed, changed to a different/adaptive way forward, or became weaker or less positive, no differences emerged for the number of prior traumas (H(2) = 3.785, p = .151), number of intrusive memories of COVID-19 media footage (H(2) = 1.221, p = .543), or ratings of past time perspective (H(2) = 0.944, p = .624). However, there was a significant difference in optimism between categories (F(2) = 4.013, p = .021, η²p = .077). Specifically, participants whose future image content had not changed during the pandemic reported significantly higher optimism than participants whose future image content was weaker/less positive during compared to the pandemic (p = .028, d = 0.704), see Fig. 4 for details.
Study 2 discussion
Similar to Study 1, the content of future self-images (researcher-rated) did not change for the majority of participants (c. 50%), although for some (c. 35%) they changed to a different/adaptive way forward, and for the remaining participants (c. 15%) the images became weaker/less positive. Again, similar to Study 1, participants rated their future self-images as less positive and more vivid and with fewer other people present during (compared to before) the COVID-19 pandemic. Additionally, they indicated that they saw themselves as older (compared to their current age) in their future self-images during compared to before the pandemic. We did not replicate the findings of Study 1 regarding significant associations between the change in valence of future images and other trauma-related variables (i.e., prior trauma, number of intrusive memories of COVID-19 media footage, past time perspective). However, in Study 2 we replicated the finding that the more optimistic participants were, the less negative their future images became. The same pattern emerged for researcher-rated categories regarding changes in participants’ future image content. Specifically, whereas there were no differences between categories for prior trauma, the number of intrusive memories of COVID-19 media footage or past time perspective, participants whose future images changed to a weaker/less positive version were less optimistic than participants whose future images had not changed from before to during the pandemic.
General discussion
Our first aim was to explore whether the content and characteristics of future self-imagery in young people shifted from before to during the pandemic. Across two studies with independent samples, participants rated their future self-images as less positive during relative to before the pandemic. This pattern was observed irrespective of the stage in the pandemic in Sweden; i.e., during both the second/third wave (October 2020-March 2021, Study 1) and the fourth wave (October-December 2021, Study 2) – highlighting a consistent impact of the pandemic on the way in which young people envisaged their future.
Our second aim was to determine whether changes in future self-imagery were linked to other (trauma-related) variables. In both stages of the pandemic, reduced positivity of future self-imagery was smaller in individuals who were more optimistic. Interestingly, reduced positivity was also associated with other trauma-related variables (e.g., prior trauma, number of intrusive memories of COVID-19 media footage, past time perspective) in the sample recruited earlier in the pandemic (i.e., second/third waves), but not in the fourth wave. It is possible that the very experience of the pandemic changed in innumerable ways over the course of time (e.g., owing to fluctuations in the level of restrictions, level of threat posed by the virus, case numbers, number of people dying from COVID-19, etc.) which may account for differences in the relationships observed at different timepoints. It is also possible that the associations with other trauma-related variables found in Study 1 (which was exploratory and intended for generating hypotheses) were not robust. Further research is needed to test if the findings are replicated in different samples.
Our studies provide some important initial clues regarding ways in which adverse events may be linked to changes in young peoples’ future self-imagery. Although in both samples most participants’ future images did not change in content, or changed to a different/adaptive (in terms of restricted possibilities during the pandemic) way forward, future self-images became weaker (e.g., less vivid, less likely) or less positive for a considerable minority of participants (i.e., c. 30% in Study 1 and c. 15% in Study 2, changes in content were rated by the researcher). Interestingly, the majority of participants rated their future images as less positive during compared to before the pandemic, indicating that even if image content remained similar, people may experience less anticipatory pleasure when imagining them during the pandemic. While future self-images during (compared to before) the pandemic were rated as less positive, they were also rated as more vivid (in both studies). A combination of less positive but more vivid future imagery could potentially lead to more severe consequences for psychological well-being.
A key finding is that adverse consequences of the pandemic for future self-imagery were lower for individuals with higher optimism, extending previous research on the potential benefits of optimism (Dricu et al., 2020; Singh et al. 2020; Kress & Aue, 2017) in various areas including mental and physical health. We note that our studies did not investigate causal relationships, leaving it unknown whether less optimistic individuals engaged in less positive mental imagery during the pandemic, or whether a lack of positive mental imagery during the pandemic may have impaired optimism (Blackwell et al., 2013; Ji et al., 2017). Furthermore, this finding is in line with earlier research in Germany and the US showing an association between how individuals think about the future during the COVID-19 pandemic and psychological well-being (Niziurski & Schaper, 2021), a construct closely related to optimism. Future research is needed to investigate the role of mental imagery (specifically positive future self-imagery) in this relationship.
A key limitation of both studies is that participants’ ratings of the characteristics (e.g., valence) of their imagery prior to the pandemic were made retrospectively. Accordingly, we cannot rule out the possibility of recall bias, nor the possibility that ratings were influenced by participants’ current emotional state. In addition, our retrospective design could also account for the lower vividness ratings of future imagery before the pandemic; that is, pre-pandemic imagined events might have been more abstract by virtue of the fact they relate to a future that is less realistic than the one that will follow from the pandemic. Such shortcomings would be eliminated by the use of a longitudinal design in future work. That said, it is difficult to imagine how this could be achieved – that is, how researchers could anticipate an upcoming pandemic. Nonetheless, we acknowledge the reliance on retrospective ratings as a limitation. In addition, we note that some of the coding schemes employed were developed for the purpose of the current project. Accordingly, kappa values varied considerably, which may render some of the coding results less reliable than they would have been had an established coding scheme been available. In addition, we note that we did not pre-register our analyses for Study 1, which was intended to generate hypotheses for Study 2, and thus recommend that the results of Study 1 be interpreted with caution.
These limitations are offset by notable strengths. First, to our knowledge this study is one of the first to investigate how future imagery is affected by a significant and ongoing stressor – in contrast to studies investigating future thinking/imagery in PTSD samples, who may have experienced a trauma many years earlier. Second, we have extended the literature and built on studies examining future imagery in the context of trauma and stressors (e.g., Kleim et al., 2014) to specifically investigate future self-imagery. Finally, whilst Study 1 was exploratory, our (pre-registered) replication of the results obtained in Study 1 in an independent dataset (i.e., Study 2) represents a key methodological strength.
Whilst we employed an unselected sample, the findings nonetheless have clinical implications. By suggesting that future self-imagery is influenced by stressful events (and the ongoing pandemic specifically), the findings raise the possibility that brief, simple clinical interventions that aim to boost positive imagery, particularly for individuals who are less optimistic about the future or engage less in positive future self-imagery, may have utility. Indeed, evidence is emerging in support of the effectiveness of novel interventions targeting mental imagery in depressed adolescents (e.g., Pile et al., 2021). Along similar lines, a recent study found that a brief (4 session) intervention incorporating mental imagery delivered by telephone reduced depression in isolated older adults during the COVID-19 pandemic (Pellas et al., 2022a, b). The possibility that brief, easily administered, scalable interventions targeting mental imagery could effectively bolster positive future imagery in the context of the ongoing pandemic is an exciting clinical possibility that awaits empirical test.
In sum, in two studies conducted at different stages of the pandemic, young people rated their future self-images as less positive during relative to before the pandemic. Optimism played a buffering role: for individuals who were more optimistic, imagery valence ratings became less negative over time. Whilst preliminary, the findings suggest that brief, novel interventions aiming to boost positive future imagery may hold promise to enhance the mental health of young people in the context of the COVID-19 pandemic.
Data availability
The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.
References
American Psychiatric Association. (2013). Diagnostic and statistical Manual of Mental Disorders (DSM-5®) (5th ed.). American Psychiatric Publishing. http://ebookcentral.proquest.com/lib/uu/detail.action?docID=1811753. Accessed 12 Dec 2022
Annersand, S. (2021). Moving from a physical to a digital psychological lab: The trauma film paradigm during the COVID-19 pandemic [Unpublished thesis]. Uppsala University, Department of psychology.
Baddeley, A., & Wilson, B. (1986). Amnesia, autobiographical memory, and confabulation. Autobiographical memory (pp. 225–252). Cambridge University Press. https://doi.org/10.1017/CBO9780511558313.020
Blackwell, S. E., Rius-Ottenheim, N., Schulte-van Maaren, Y. W. M., Carlier, I. V. E., Middelkoop, V. D., Zitman, F. G., Spinhoven, P., Holmes, E. A., & Giltay, E. J. (2013). Optimism and mental imagery: a possible cognitive marker to promote well-being? Psychiatry Research, 206(1), 56–61. https://doi.org/10.1016/j.psychres.2012.09.047
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa
Brown, A. D., Antonius, D., Kramer, M., Root, J. C., & Hirst, W. (2010). Trauma centrality and PTSD in veterans returning from Iraq and Afghanistan. Journal of Traumatic Stress, 23(4), 496–499. https://doi.org/10.1002/jts.20547
Brown, A. D., Buckner, J. P., & Hirst, W. (2011). Time, before, and after time: temporal self and social appraisals in posttraumatic stress disorder. Journal of Behavior Therapy and Experimental Psychiatry, 42(3), 344–348. https://doi.org/10.1016/j.jbtep.2011.02.006
Chessell, Z., Rathbone, C. J., Souchay, C., Charlesworth, L., & Moulin, C. (2013). Autobiographical memory, past and future events, and self-images in younger and older adults. Self and Identity, 13, 380–397. https://doi.org/10.1080/15298868.2013.836132
Cohen, J. (1988). Statistical power analysis for the behavioural Sciences (2nd ed.). Lawrence Erlbaum Associates.
Conway, M. A., Justice, L. V., & D’Argembeau, A. (2019). The self-memory system revisited: past, Present, and Future. The organization and structure of autobiographical memory. Oxford University Press. https://doi.org/10.1093/oso/9780198784845.003.0003
Creswell, C., Shum, A., Pearcey, S., Skripkauskaite, S., Patalay, P., & Waite, P. (2021). Young people’s mental health during the COVID-19 pandemic. The Lancet Child & Adolescent Health, 5(8), 535–537. https://doi.org/10.1016/S2352-4642(21)00177-2
Dricu, M., Kress, L., & Aue, T. (2020). The neurophysiological basis of optimism bias. In Cognitive Biases in Health and Psychiatric Disorders (pp.41–70). Elsevier. https://doi.org/10.1016/B978-0-12-816660-4.00003-9
Heise, M., Werthmann, J., Murphy, F., Tuschen-Caffier, B., & Renner, F. (2022). Imagine how good that feels: the impact of anticipated positive emotions on motivation for reward activities. Cognitive Therapy and Research, 46(4), 704–720. https://doi.org/10.1007/s10608-022-10306-z
Holman, E. A., & Grisham, E. L. (2020). When time falls apart: the public health implications of distorted time perception in the age of COVID-19. Psychological Trauma: Theory Research Practice and Policy, 12(S1), S63. https://doi.org/10.1037/tra0000756
Holman, E. A., Jones, N. M., Garfin, D. R., & Silver, R. C. (2022). Distortions in time perception during collective trauma: Insights from a national longitudinal study during the COVID-19 pandemic. Psychological Trauma: Theory, Research, Practice, and Policy. https://doi.org/10.1037/tra0001326
Holman, E. A., & Silver, R. C. (1998). Getting “stuck” in the past: temporal orientation and coping with trauma. Journal of Personality and Social Psychology. https://doi.org/10.1037/0022-3514.74.5.1146
Holman, E. A., Silver, R. C., Mogle, J. A., & Scott, S. B. (2016). Adversity, time, and well-being: a longitudinal analysis of time perspective in adulthood. Psychology and Aging, 31(6), 640–651. https://doi.org/10.1037/pag0000115
Holmes, E. A., Lang, T. J., Moulds, M. L., & Steele, A. M. (2008). Prospective and positive mental imagery deficits in dysphoria. Behaviour Research and Therapy, 46(8), 976–981. https://doi.org/10.1016/j.brat.2008.04.009
Holmes, E. A., O’Connor, R. C., Perry, V. H., Tracey, I., Wessely, S., Arseneault, L., Ballard, C., Christensen, H., Silver, C., Everall, R., Ford, I., John, T., Kabir, A., King, T., Madan, K., Michie, I., Przybylski, S., Shafran, A. K., Sweeney, R., & Bullmore, A. (2020). Multidisciplinary research priorities for the COVID-19 pandemic: a call for action for mental health science. The Lancet Psychiatry, 7(6), 547–560. https://doi.org/10.1016/S2215-0366(20)30168-1
Horowitz, M., Wilner, N., & Alvarez, W. (1979). Impact of event scale: a measure of subjective stress. Psychosomatic Medicine, 41(3), 209–218. https://doi.org/10.1097/00006842-197905000-00004
James, E. L., Bonsall, M. B., Hoppitt, L., Tunbridge, E. M., Geddes, J. R., Milton, A. L., & Holmes, E. A. (2015). Computer game play reduces intrusive Memories of experimental trauma via reconsolidation-update mechanisms. Psychological Science, 26(8), 1201–1215. https://doi.org/10.1177/0956797615583071
JASP Team (2021). JASP (Version 0.16). JASP. https://jasp-stats.org/. Accessed 12 Dec 2022
Ji, J. L., Geiles, D., & Saulsman, L. M. (2021a). Mental imagery-based episodic simulation amplifies motivation and behavioural engagement in planned reward activities. Behaviour Research and Therapy, 145, 103947. https://doi.org/10.1016/j.brat.2021.103947
Ji, J. L., Murphy, F. C., Grafton, B., MacLeod, C., & Holmes, E. A. (2021b). Emotional mental imagery generation during spontaneous future thinking: relationship with optimism and negative mood. Psychological Research Psychologische Forschung. https://doi.org/10.1007/s00426-021-01501-w
Ji, J. L., Holmes, E. A., & Blackwell, S. E. (2017). Seeing light at the end of the tunnel: positive prospective mental imagery and optimism in depression. Psychiatry Research, 247, 155–162. https://doi.org/10.1016/j.psychres.2016.11.025
Kleim, B., Graham, B., Fihosy, S., Stott, R., & Ehlers, A. (2014). Reduced specificity in episodic future thinking in posttraumatic stress disorder. Clinical Psychological Science: A Journal of the Association for Psychological Science, 2(2), 165–173. https://doi.org/10.1177/2167702613495199
Kress, L., & Aue, T. (2017). The link between optimism bias and attention bias: a neurocognitive perspective. Neuroscience and Biobehavioral Reviews, 80, 688–702. https://doi.org/10.1016/j.neubiorev.2017.07.016
Lau-Zhu, A., Henson, R. N., & Holmes, E. A. (2019). Intrusive memories and voluntary memory of a trauma film: Differential effects of a cognitive interference task after encoding. Journal of Experimental Psychology: General, 148(12), 2154–2180. https://doi.org/10.1037/xge0000598
Lebeaut, A., Tran, J. K., & Vujanovic, A. A. (2020). Posttraumatic stress, alcohol use severity, and alcohol use motives among firefighters: the role of anxiety sensitivity. Addictive Behaviors, 106, 106353. https://doi.org/10.1016/j.addbeh.2020.106353
McCracken, L. M., Badinlou, F., Buhrman, M., & Brocki, K. C. (2020). Psychological impact of COVID-19 in the swedish population: Depression, anxiety, and insomnia and their associations to risk and vulnerability factors. European Psychiatry: The Journal of the Association of European Psychiatrists, 63(1), e81. https://doi.org/10.1192/j.eurpsy.2020.81
Microsoft Excel. (2013). Microsoft Corporation. https://www.microsoft.com/sv-se/microsoft-365/excel. Accessed 12 Dec 2022
Niziurski, J. A., & Schaper, M. L. (2021). Psychological wellbeing, memories, and future thoughts during the Covid-19 pandemic. Current Psychology (New Brunswick, N.J.), 1–14. https://doi.org/10.1007/s12144-021-01969-0
Pellas, J., Renner, F., Ji, J. L., & Damberg, M. (2022a). Telephone-based behavioral activation with mental imagery for depression: a pilot randomized clinical trial in isolated older adults during the Covid-19 pandemic. International Journal of Geriatric Psychiatry, 37(1). https://doi.org/10.1002/gps.5646
Pellas, J., Renner, F., Ji, J. L., & Damberg, M. (2022b). Telephone-based behavioral activation with mental imagery for depression in older adults in isolation during the Covid-19 pandemic: long-term results from a pilot trial. Clinical Gerontologist, 1–7. https://doi.org/10.1080/07317115.2022.2124899
Peters, M. L., Vieler, J. S. E., & Lautenbacher, S. (2016). Dispositional and induced optimism lead to attentional preference for faces displaying positive emotions: an eye-tracker study. The Journal of Positive Psychology, 11(3), 258–269. https://doi.org/10.1080/17439760.2015.1048816
Pile, V., Smith, P., & Lau, J. Y. F. (2021). Using imagery rescripting as an early intervention for depression in young people. Frontiers in Psychiatry, 12. https://www.frontiersin.org/article/https://doi.org/10.3389/fpsyt.2021.651115
Qualitrics (2015). Qualtrics.
Racine, N., McArthur, B. A., Cooke, J. E., Eirich, R., Zhu, J., & Madigan, S. (2021). Global prevalence of depressive and anxiety symptoms in children and adolescents during COVID-19: a Meta-analysis. JAMA Pediatrics, 175(11), 1142–1150. https://doi.org/10.1001/jamapediatrics.2021.2482
Rathbone, C. J., Conway, M. A., & Moulin, C. J. A. (2011). Remembering and imagining: the role of the self. Consciousness and Cognition, 20(4), 1175–1182. https://doi.org/10.1016/j.concog.2011.02.013
Rathbone, C. J., Salgado, S., Akan, M., Jelena, H., & Berntsen, D. (2016). Imagining the future: a cross-cultural perspective on possible selves. Consciousness and Cognition, 42, 113–124. https://doi.org/10.1016/j.concog.2016.03.008
Schacter, D. L., & Addis, D. R. (2007). The cognitive neuroscience of constructive memory: remembering the past and imagining the future. Philosophical Transactions of the Royal Society B: Biological Sciences, 362(1481), 773–786. https://doi.org/10.1098/rstb.2007.2087
Singh, L., Ahmed Pihlgren, S., Holmes, E. A., & Moulds, M. L. (2022). Using a daily diary for monitoring intrusive memories of trauma: a translational data synthesis study exploring convergent validity. International Journal of Methods in Psychiatric Research. https://doi.org/10.1002/mpr.1936
Singh, L., Kanstrup, M., Depa, K., Falk, A. C., Lindström, V., Dahl, O., Göransson, K. E., Rudman, A., & Holmes, E. A. (2021). Digitalizing a brief intervention to reduce intrusive Memories of Psychological Trauma for Health Care Staff Working during COVID-19: exploratory pilot study with nurses. JMIR Formative Research, 5(5), e27473. https://doi.org/10.2196/27473
Singh, L., Schüpbach, L., Moser, D. A., Wiest, R., Hermans, E. J., & Aue, T. (2020). The effect of optimistic expectancies on attention bias: Neural and behavioral correlates. Scientific Reports, 10(1), 6495. https://doi.org/10.1038/s41598-020-61440-1
Wallin, O. (2021). Moving the trauma film paradigm and a brief cognitive intervention from a ‘physical’ to a ‘digital’ laboratory [Unpublished thesis]. Uppsala University, Department of Psychology.
Weathers, F. W., Blake, D. D., Schnurr, P. P., Kaloupek, D. G., Marx, B. P., & Keane, T. M. (2013). Life events checklist for DSM-5 (LEC-5) [General Information]. US Department of Veterans Affairs. https://www.ptsd.va.gov/professional/assessment/te-measures/life_events_checklist.asp#obtain. Accessed 12 Dec 2022
Weiss, D. S., Marmar, C. R., Wilson, J. P., & Keane, T. M. (1997). Assessing psychological trauma and PTSD.
World Medical Association (2018). WMA Declaration of Helsinki – Ethical principles for medical research involving human subjects. https://www.wma.net/policies-post/wma-declaration-of-helsinki-ethical-principles-for-medical-research-involving-human-subjects/. Accessed 12 Dec 2022
Acknowledgements
We thank Sofia Pettersson and Ebba Eriksson for their help with coding qualitative data in this project and Sara Ahmed Pihlgren for help with qualitative coding and reference management.
Funding
Open access funding provided by Uppsala University. This project was mainly supported by a Swiss National Science Foundation grant (P2BEP1_184378) and a Thunberg Fellowship by the Swedish Collegium for Advanced Study to LS. EAH and MM receive funding from the Lupina Foundation. EAH was also supported by the Swedish Research Council (2020–00873), the Oak Foundation (OCAY-18-442), AFA Insurance (200,342), and the Wellcome Trust (223,016/Z/21/Z). Funders were not involved in the study design, collection, analysis and interpretation of data; writing of the report; and/or decision to submit the report for publication.
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LS (Conceptualization, Methodology, Validation, Formal analysis, Investigation, Resources, Data curation, Visualization, Writing – Original Draft, Writing – Review & Editing, Project administration, Funding acquisition), CR (Methodology, Resources, Writing – Review & Editing), MLM (Writing – Original Draft, Writing – Review & Editing), EAH (Conceptualization, Resources, Supervision, Funding Acquisition, Writing – Review & Editing).
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EAH reports serving on the board of trustees of the charity MQ: Transforming Mental Health but receives no remuneration for this role. EAH receives royalties from books and occasional fees for workshops and invited addresses; she receives occasional consultancy fees from the Swedish agency for health technology assessment and assessment of social services.
The other authors report no competing interests.
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Singh, L., Rathbone, C.J., Moulds, M.L. et al. Future self-imagery of young people in Sweden during the COVID-19 pandemic: an exploratory mixed methods analysis. Curr Psychol 43, 15020–15034 (2024). https://doi.org/10.1007/s12144-022-04100-z
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DOI: https://doi.org/10.1007/s12144-022-04100-z