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Subjective cognitive impairment and presenteeism mediate the associations of rumination with subjective well-being and ill-being in Japanese adult workers from the community

BioPsychoSocial Medicine volume 15, Article number: 15 (2021) Cite this article

Abstract

Background

In recent years, the roles of rumination, subjective cognitive impairment (SCI), and presenteeism have been emphasized in occupational mental health. However, associations between rumination, SCI, presenteeism, and psychological well-being are not fully understood. We hypothesized that SCI and presenteeism mediate the associations between rumination and subjective well-being (SWB) and subjective ill-being (SIB). Hence, we investigated the mediating roles of SCI and presenteeism in this study.

Methods

A total of 458 adult workers (mean age, 40.8±11.9 years; 44.1% male), who were recruited in Tokyo using convenience sampling, were analyzed in this study. The Ruminative Responses Scale, Cognitive Complaints in Bipolar Disorder Rating Assessment, Work Limitations Questionnaire 8, and Subjective Well-being Inventory were used to evaluate rumination, SCI, presenteeism, and psychological well-being (SWB and SIB), respectively. Path analyses were performed to evaluate the relations between these parameters.

Results

The path analysis indicated that rumination, SCI, and presenteeism were directly and negatively associated with SWB and SIB. Regarding indirect effects, rumination was negatively associated with SWB and SIB via SCI, presenteeism, and both SCI and presenteeism. Furthermore, SCI was negatively associated with SWB and SIB via presenteeism.

Conclusions

The results suggest that SCI and presenteeism mediate the associations of rumination with SWB and SIB in Japanese adult workers. To address the psychological well-being associated with rumination, evaluating SCI and presenteeism simultaneously may be useful in occupational mental health. This study provides key insights into the development of comprehensive intervention strategy based on the biopsychosocial perspective for worker’s psychological well-being.

Background

“Good mental health” is defined as well-being that enables an individual to cope with life stress and work well [1]. In the present study, the concept of psychological well-being contains two independent dimensions—positive and negative affect, in other words, subjective well-being (SWB) indicates a positive state, while subjective ill-being (SIB) indicates a negative state that consists of negative psychological components, such as burnout and tiredness [2]. Notably, the deterioration of SIB does not necessarily lead to the decline of SWB and vice versa [3]. Thus, achieving good mental health should simultaneously be addressed from the viewpoints of SWB and SIB [4]. Furthermore, a recent study has insisted on the need for mental health screening and prevention by general practitioners because the current screening and prevention methods performed thus far may not be sufficient [5]. Indeed, individuals who later develop severe mental illness are rarely identified by current mental health services before they develop the illness, the rate of which is 5%–12% [6, 7]. In occupational mental health, addressing both the SWB and SIB of workers have been urgent issues in recent years.

Presenteeism indicates the state of being physically present at work, although the work productivity can be decreased by illness or other barriers to performance [8]. Presenteeism is considered an important intervention target in occupational mental health [9] because it is closely associated with a worker’s well-being [8, 10]. Various risk factors of presenteeism have been reported, including both physical and mental conditions [11]. Although a systematic review reported the influence of presenteeism on well-being [12], the relationships between the risk factors of presenteeism, SWB, and SIB are not well known.

Good cognitive function occupies a part of good mental health [1]. Cognitive impairment deteriorates psycho-social functioning not only in individuals with psychiatric illnesses but also in the nonclinical adult population [13, 14]. Cognitive function is divided into two categories: objective and subjective cognitive function. Objective cognitive function is primarily evaluated by neuropsychological tests whereas subjective cognitive function is primarily evaluated by self-administered questionnaires [13]. Notably, better subjective cognitive function correlates well with better mental health and higher social functioning [13]. Hence, in recent years, subjective cognitive function has come to be assessed more often in public and occupational mental health [13,14,15].

Rumination indicates repetitive and passive self-focused thoughts [16] and is positively correlated with objective cognitive dysfunction and depression [17]. Further, perseverative cognition via rumination affects both mental health and somatic symptoms [18]. Recent meta-analyses have highlighted the positive associations among rumination with autobiographical memory specificity [19] and worse executive function [20]. As a result, rumination affects work productivity and mediates the influence of stressful work interruptions on psychosomatic symptoms [21, 22]. Additionally, a previous meta-analysis suggests that rumination is a mediator of the effect of mindfulness-based interventions and affects clinical outcomes [23]. A recent study has suggested the importance of interventions for work-related ruminative thinking [24]. Hence, evaluating rumination has become increasingly important in public health. Regarding the relation between rumination and psychological well-being, rumination predicted deteriorated SWB [25, 26] and SIB in workers [27]. Thus, rumination is considered a predictor of psychological well-being.

Subjective cognitive impairment (SCI) indicates perceived cognitive dysfunction in daily life [28], which is known to act as a mediator in the relation between some clinical parameters. In the general population, SCI mediates the effects of depressive symptoms on psycho-social function [13]. In Japanese adult workers, SCI mediates the association between depressive symptoms and presenteeism [14]. However, whether SCI and presenteeism mediate the associations of rumination with SWB and SIB in Japanese adult workers is not fully understood.

Rumination impacts internal attention switching and predicts SCI [29, 30]. Meanwhile, SCI negatively affects SWB [31] and is strongly associated with psychological distress and predicted deteriorated SIB [32, 33]. Both SCI and presenteeism are more likely to be detected in the workplace [13, 34]. Previous studies have reported that happier workers are more productive at work [35]. Mental conditions, such as depressive and anxiety symptoms, also affect work productivity [11]. Rumination is known to be a characteristic cognition common to depression and anxiety disorders [36]. Furthermore, rumination deteriorates SCI [29, 30], and SCI deteriorates SWB and SIB [31,32,33]. Therefore, based on these relationships, targeting cognitive dysfunction contributes to promoting psychological well-being [37]. A recent meta-analysis reported the effectiveness of psychological interventions to improve the SWB of workers [38]. Regarding the role of cognitive dysfunction of workers, SCI plays a mediating role in the relationship between insomnia, anxiety, or depressive symptoms and presenteeism [14, 39]. However, whether SCI mediates the relation between rumination and presenteeism is not well known to date.

From the aspect of path model, previous studies suggested the “rumination → cognitive dysfunction” model [40] as well as the “cognitive dysfunction → presenteeism” [14] and “presenteeism → well-being” [41] models. However, the “rumination → cognitive dysfunction → presenteeism → well-being” model has not been investigated; particularly, whether cognitive dysfunction and presenteeism can simultaneously mediate the associations of rumination with SWB and SIB remains unknown.

The theoretical evidence for the present study can be described based on path models. First, rumination predicts SCI, and SCI predicts presenteeism, and presenteeism predicts SWB and SIB: “rumination→SCI” [29, 30], “SCI→presenteeism” [14], “presenteeism→SWB” [42], and “presenteeism→SIB” [43]. Taken together, we set “rumination→SCI→presenteeism→SWB and SIB” models. Second, rumination predicts both SWB and SIB: “rumination→SWB” [25, 26], “rumination→SIB” [27]. Rumination also predicts presenteeism, and SCI predicts SWB and SIB: “rumination→presenteeism” [44, 45], “SCI→SWB” [31], and “SCI→SIB” [32, 33]. Hence, regarding the“rumination→SCI→presenteeism→SWB and SIB” models, the direct effects on our path models were shown in these previous studies. However, the indirect effects of SCI and presenteeism in the relation between rumination and SWB or SIB have not yet been investigated.

Based on the theoretical evidence described above, we hypothesized that SCI and presenteeism mediate the relations between rumination and SWB and SIB. Hence, we performed the mediation analysis for SCI and presenteeism in the present study.

Methods

Participants

This cross-sectional study was conducted between April 2017 and April 2018 in Tokyo, Japan, in accordance with the Declaration of Helsinki. At the beginning of this research, the present study design was approved by the Local Ethics Review Board of Tokyo Medical University (Ethics Approval Number: SH3502).

During this period, a total of 597 subjects were recruited. The inclusion criteria were as follows: 20 years of age and older, no severe physical illnesses or brain damage, and agreed to participate in this research. This study obtained written informed consent at the beginning of the assessments. This research was part of a larger study, where several self-administered questionnaires were used [13]. The exclusion criteria of this study were as follows: being unemployed or not working during the assessment and not completing the questionnaires; hence, a total of 139 subjects were excluded and 458 subjects were analyzed in the present study.

Ruminative Responses Scale (RRS)

The RRS evaluates the severity of ruminative responses. It is composed of 22 items, each of which can be rated using a 4-point Likert scale from 1 (Almost never) to 4 (Almost always) [46]. The validity and reliability of the RRS have been previously shown, and the RRS has been confirmed to have adequate psychometric properties [47, 48]. In this study, we assessed rumination using the Japanese version [49]. We calculated the RRS total score by summing each score. The higher the total score, the higher the ruminative response.

Cognitive complaints in bipolar disorder rating assessment (COBRA)

The COBRA evaluates SCI and is composed of 16 items, each of which can be rated using a 4-point Likert scale from 0 (never) to 3 (always) [28]. The validity and reliability of the COBRA have been shown, and the COBRA has been confirmed to have adequate psychometric properties [28]. The study participants used the Japanese version for which validity and reliability have been previously reported and which has been used in the general adult population [13, 50]. We calculated the COBRA total score by summing each score, with higher scores indicating more serious SCI. Furthermore, a total score ≥15 reflects moderate to severe SCI [13].

Work Limitations Questionnaire 8 (WLQ-8)

The WLQ-8 evaluates presenteeism. This questionnaire is composed of eight items, each of which is rated using the following Likert scale: all of the time, a great deal of the time, some of the time, a slight bit of the time, none of the time, and does not apply to my job [51,52,53]. The work productivity loss score, which reflects the % of presenteeism, was calculated by the weighted sum of the scores [14, 54]. Higher scores indicate more severe presenteeism.

Subjective Well-being Inventory (SUBI)

The SUBI evaluates SWB and SIB, which include 19 and 21 items, respectively [55]. A 3-point Likert scale from 1 to 3 was applied for each item, and the total SWB and SIB scores were calculated by summing the item scores. Higher scores indicate better statuses for both SWB and SIB. The Japanese version, whose reliability and validity have been previously reported, was used in this study [56, 57].

Statistical analysis

To evaluate the correlations among ruminative responses, SCI, presenteeism, SWB, and SIB, Pearson’s correlation analysis using the Bonferroni method was performed. We performed multiple regression analyses using forced entry to investigate significant predictors of presenteeism, SWB, and SIB. We did not use the goodness-of-fit index because of the saturated models. To show the strengths of the effects, we calculated the standardized path coefficients in the path models. We performed all statistical analyses using STATA/MP 16 (Stata Corp LLC, College Station, TX, USA), except for the path analyses, which were conducted with Mplus version 8.4 (Muthén & Muthén, Los Angeles, CA, USA). For all analyses, the statistically significant level was set as p < 0.05.

Results

Basic findings

The participants’ characteristics are displayed in Table 1. Nineteen subjects were receiving current psychiatric treatment, and 47 participants had a psychiatric history. Eighty-four participants were determined to have moderate to severe SCI.

Table 1 Demographic and clinical characteristics (N = 458)
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The outcomes of Pearson’s correlation analysis are shown in Additional file 1; all correlations were statistically significant. Rumination was positively correlated with SCI and presenteeism and negatively correlated with SWB and SIB. SCI was positively correlated with presenteeism and negatively correlated with SWB and SIB. Presenteeism was negatively correlated with SWB and SIB. SWB was positively correlated with SIB.

Multiple regression analysis

The outcomes of the multiple regression analysis are presented in Table 2. Rumination and SCI were significant positive predictors of presenteeism. Furthermore, rumination, SCI, and presenteeism were significant negative predictors of SWB and SIB.

Table 2 Multiple regression analysis (N = 458)
Full size table

Path analyses of SWB

The outcomes of the path analysis of SWB are presented in Table 3 and Figure 1, and all the paths were statistically significant.

Table 3 Standardized path coefficients of the path analysis of SWB (N = 458)
Full size table
Figure 1
figure 1

Associations between rumination, SCI, presenteeism, and SWB. The path analysis shows the associations between rumination, SCI, presenteeism, and SWB in 458 adult workers. Direct standardized path coefficients are represented by the values beside the arrows. The strength of the direct effect is demonstrated by the width of the line. Rumination was measured by the RRS score, SCI was measured by the COBRA score, presenteeism was measured by the WLQ work productivity loss score, and SWB was measured by the SUBI well-being score. COBRA, Cognitive Complaints in Bipolar Disorder Rating Assessment; RRS, Ruminative Responses Scale; SCI, Subjective cognitive impairment; SUBI, Subjective Well-Being Inventory; SWB, Subjective well-being; WLQ, Work Limitations Questionnaire; R2, coefficient of determination.

Full size image

There were positive direct effects of rumination on SCI and presenteeism and a negative direct effect on SWB. Secondly, there was a positive direct effect of SCI on presenteeism and a negative direct effect on SWB. Finally, there was a negative direct effect of presenteeism on SWB.

There was a positive indirect effect of rumination on presenteeism via SCI. Second, there were negative indirect effects of rumination on SWB via SCI, via presenteeism, and via SCI and presenteeism. Finally, there was a negative indirect effect of SCI on SWB via presenteeism.

There was a positive total indirect effect of rumination on presenteeism and a negative total indirect effect on SWB. Further, there was a negative total indirect effect of SCI on SWB.

There were positive total effects of rumination on SCI and presenteeism and a negative total effect on SWB. Secondly, there was a positive total effect of SCI on presenteeism and a negative total effect on SWB. Finally, there was a negative total effect of presenteeism on SWB.

The coefficients of determination (R2) of SCI (R2 = 0.151, p < 0.001), presenteeism (R2 = 0.238, p < 0.001), and SWB (R2 = 0.146, p < 0.001) were calculated in the path analysis (Figure 1).

Regarding the mediating effect, SCI mediated the effects of rumination on presenteeism and SWB, and presenteeism mediated the effects of rumination and SCI on SWB. Furthermore, SCI and presenteeism, in this turn, mediated the effect of rumination on SWB.

Path analyses of SIB

The outcomes of the path analysis of SIB are presented in Table 4 and Figure 2, and all paths were statistically significant.

Table 4 Standardized path coefficients of the path analysis of SIB (N = 458)
Full size table
Figure 2
figure 2

Associations between rumination, SCI, presenteeism, and SIB. The path analysis shows the associations between rumination, SCI, presenteeism, and SIB in 458 adult workers. The direct standardized path coefficients are represented by the values beside the arrows. The strength of the direct effect is demonstrated by the width of the line. Rumination was measured by the RRS score, SCI was measured by the COBRA score, presenteeism was measured by the WLQ work productivity loss score, and SIB was measured by the SUBI ill-being score. COBRA, Cognitive Complaints in Bipolar Disorder Rating Assessment; RRS, Ruminative Responses Scale; SCI, Subjective cognitive impairment; SUBI, Subjective Well-Being Inventory; SIB, Subjective ill-being; WLQ, Work Limitations Questionnaire; R2, coefficient of determination.

Full size image

There were positive direct effects of rumination on SCI and presenteeism and a negative direct effect on SIB. Secondly, there was a positive direct effect of SCI on presenteeism and a negative direct effect on SIB. Finally, there was a negative direct effect of presenteeism on SIB.

There was a positive indirect effect of rumination on presenteeism via SCI. Secondly, there were negative indirect effects of rumination on SIB via SCI, via presenteeism, and via SCI and presenteeism. Finally, there was a negative indirect effect of SCI on SIB via presenteeism.

There was a positive total indirect effect of rumination on presenteeism and a negative total indirect effect on SIB. Further, there was a negative total indirect effect of SCI on SIB. There were positive total effects of rumination on SCI and presenteeism and a negative total effect on SIB. Secondly, there was a positive total effect of SCI on presenteeism and a negative total effect on SIB. Finally, there was a negative total effect of presenteeism on SIB.

The coefficients of determination (R2) of SCI (R2 = 0.151, p < 0.001), presenteeism (R2 = 0.238, p < 0.001), and SIB (R2 = 0.393, p < 0.001) were calculated in the path analysis (Figure 2).

Regarding the mediating effect, SCI mediated the effects of rumination on presenteeism and SIB, and presenteeism mediated the effects of rumination and SCI on SIB. Furthermore, SCI and presenteeism, in this turn, mediated the effect of rumination on SIB.

Discussion

This study suggests that SCI and presenteeism mediate the associations of rumination with psychological well-being in adult workers. Our findings, which simultaneously report the mediating role of SCI and presenteeism on the relation of rumination with SWB and SIB, are novel.

First, the present study showed that SCI mediated the association between rumination and presenteeism. A previous study reported that SCI mediated the influence of depressive symptoms on presenteeism [14]. Although rumination is positively correlated with objective cognitive impairment and depression [17], the mediator role of SCI on the associations between rumination, depressive symptoms, and presenteeism has not yet been investigated simultaneously. To investigate these relations in greater detail, path analyses using the parameters of rumination, depressive symptoms, SCI, and presenteeism should be performed in the future.

Second, our findings suggest that SCI mediates the association between rumination and SWB. Previous research suggested that SCI mediated the relation between depressive symptoms and quality of life [13]. Furthermore, affective temperaments and personality traits affect SWB [4], and affective temperaments influence SCI [58, 59]. However, our path models did not include affective temperaments or personality traits, which could be a limitation. In the future, the genetic factors should be included in the path models.

Third, our results showed that SCI also mediated the correlation between rumination and SIB. A previous study has suggested that SCI mediates the relation between depressive symptoms and functional disability [13]. Depressive symptoms are positively correlated with rumination and SCI [13, 17], and depressive symptoms mediate the association between affective temperaments and SCI [58]. Furthermore, affective temperaments influence SIB, and SCI mediates the association between affective temperaments and functional disability [4, 59]. Hence, affective temperaments and depressive symptoms could play important roles in the mediating effect of SCI. However, affective factors were not evaluated in this study, which could be a limitation. In the future study, the biological and psychological affective parameters should be included in the path models.

Fourth, in our path models, presenteeism also mediated the associations between rumination, SCI, and SWB and SIB. This is a new finding that suggests the mediating effects of presenteeism on the relations between rumination, SCI, and SWB and SIB. A recent study reported that presenteeism mediated the influence of workaholism on the conflict between work and family [60], and it also mediated the influence of job insecurity on psychological exhaustion [61]. Hence, the mediating role of presenteeism has attracted attention in occupational mental health. However, whether presenteeism mediates the effects of rumination and SCI on work-family conflict or emotional exhaustion is not well known. Furthermore, whether presenteeism mediates the effects of workaholism and job insecurity on SWB and SIB is also not fully understood. In the future, those mediating effects should be investigated in larger longitudinal studies.

Fifth, our findings highlighted the mediating roles of SCI and presenteeism, in this order, on SWB and SIB in adult workers from the community. Hence, to deal with SWB and SIB associated with rumination, evaluating both SCI and presenteeism simultaneously may be useful in occupational mental health. Previous studies reported a “depressive symptoms→ SCI→ presenteeism” model of adult workers [14], and a “depressive symptoms→ SCI→ quality of life” model of the general adult population [13]. Recent study showed a “trait anxiety→ depressive symptoms→ SCI→ SIB” model of the general adult population [62]. The present study suggests a “rumination→ SCI→ presenteeism→ psychological well-being” model of adult workers. Hence, to deal with deteriorated psychological well-being due to rumination, evaluating not only SCI and presenteeism but also depressive symptoms could be useful in occupational mental health.

Sixth, to address the psychological well-being of workers, cognitive behavioral therapy and mindfulness may be effective [38]. Rumination is one of the important factors that can aggravate treatment response for both cognitive behavioral therapy and mindfulness [23, 63]. To address this issue, rumination-focused interventions have recently been developed [64, 65]. Based on our findings and biopsychosocial perspective, the rumination-focused interventions could improve the psychological well-being of workers directly and indirectly via SCI and presenteeism. In the future, we would like to conduct a longitudinal randomized controlled study to test this hypothesis.

Seventh, both SCI and presenteeism correlate well with mental health conditions, including insomnia, depressive symptoms, and state anxiety [14, 39]. According to our findings, both SCI and presenteeism are well associated with rumination and psychological well-being. Furthermore, the mediating roles of SCI and presenteeism in the associations of rumination and psychological well-being are indicated. Therefore, developing early interventions that target both SCI and presenteeism may be needed to deal with the declined psychological well-being due to rumination for adult workers.

Finally, regarding social factors, SCI correlates well with daily living [13] and presenteeism associates well with the working environment [34]. Hence, adjusting both living and working environments could be crucial to improve SCI and presenteeism simultaneously. We suggest that the comprehensive intervention strategy based on the biopsychosocial perspective needs to be developed to deal with psychological well-being associated with rumination in occupational mental health.

Limitations

This cross-sectional study could not evaluate the cause-and-effect relationships among the variables. We conducted convenience sampling for this exploratory study, which prevents the generalization of our findings. The present study included only workers, which prevents us from generalizing our findings to non-workers. Additionally, all participants in the present study were adults, which precludes the generalization of our findings to adolescents or children. Specifically, this study included only adult workers, which precludes our findings from applying to underage workers. All the participants were Japanese, which prevents generalization of our results to individuals with different cultural backgrounds. The generalization of this study was also limited because study participants were recruited in Tokyo, where many office workers are employed. Hence, the difference between urban and rural areas could not be investigated. The influences of work specialty and workplace support on presenteeism were not assessed [34]. Both the individuals undergoing psychiatric treatment and healthy individuals were investigated together; hence, this heterogeneity could be a limitation. Further, the influence of current mediation was not assessed or controlled for. Finally, memory bias could be a limitation because self-administered questionnaires were used to evaluate clinical characteristics in this study.

Conclusions

This study suggests that SCI and presenteeism mediate the relation of rumination with SWB and SIB in Japanese adult workers. Hence, evaluating the SCI and presenteeism simultaneously may be useful in occupational mental health. Furthermore, the comprehensive intervention strategy for the deteriorated psychological well-being may need to be developed from the biopsychosocial perspective. Our findings provide key insights into the worker’s psychological well-being.

Availability of data and materials

The datasets used and/or analyzed during the current research are available from the corresponding author upon reasonable request.

Abbreviations

COBRA:

Cognitive Complaints in Bipolar Disorder Rating Assessment

RRS:

Ruminative Responses Scale

SCI:

Subjective cognitive impairment

SUBI:

Subjective Well-Being Inventory

SWB:

Subjective well-being

SIB:

Subjective ill-being

WLQ:

Work Limitations Questionnaire

References

  1. Fusar-Poli P, Salazar de Pablo G, De Micheli A, Nieman DH, Correll CU, Kessing LV, et al. What is good mental health? A scoping review. Eur Neuropsychopharmacol. 2020;31:33–46. https://doi.org/10.1016/j.euroneuro.2019.12.105.

    Article  CAS  PubMed  Google Scholar 

  2. Howell RT, Kern ML, Lyubomirsky S. Health benefits: meta-analytically determining the impact of well-being on objective health outcomes. Health Psychol Rev. 2007;1:83–136. https://doi.org/10.1080/17437190701492486.

    Article  Google Scholar 

  3. Keyes CLM. The mental health continuum: From languishing to flourishing in life. J Health Soc Behav. 2002;43:207–22 http://www.ncbi.nlm.nih.gov/pubmed/12096700.

    Article  Google Scholar 

  4. Kanai Y, Takaesu Y, Nakai Y, Ichiki M, Sato M, Matsumoto Y, et al. The influence of childhood abuse, adult life events, and affective temperaments on the well-being of the general, nonclinical adult population. Neuropsychiatr Dis Treat. 2016;12:823–32. https://doi.org/10.2147/NDT.S100474.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Solmi M, Durbaba S, Ashworth M, Fusar-Poli P. Proportion of young people in the general population consulting general practitioners: potential for mental health screening and prevention. Early Interv Psychiatry. 2020;14:631–5. https://doi.org/10.1111/eip.12908.

    Article  PubMed  Google Scholar 

  6. Fusar-Poli P, Rutigliano G, Stahl D, Davies C, Bonoldi I, Reilly T, et al. Development and validation of a clinically based risk calculator for the transdiagnostic prediction of psychosis. JAMA Psychiatry. 2017;74:493–500. https://doi.org/10.1001/jamapsychiatry.2017.0284.

    Article  PubMed  PubMed Central  Google Scholar 

  7. McGorry PD, Hartmann JA, Spooner R, Nelson B. Beyond the “at risk mental state” concept: transitioning to transdiagnostic psychiatry. World Psychiatry. 2018;17:133–42. https://doi.org/10.1002/wps.20514.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Prochaska JO, Evers KE, Johnson JL, Castle PH, Prochaska JM, Sears LE, et al. The well-being assessment for productivity: a well-being approach to presenteeism. J Occup Environ Med. 2011;53:735–42. https://doi.org/10.1097/JOM.0b013e318222af48.

    Article  PubMed  Google Scholar 

  9. Brunner B, Igic I, Keller AC, Wieser S. Who gains the most from improving working conditions? Health-related absenteeism and presenteeism due to stress at work. Eur J Health Econ. 2019;20:1165–80. https://doi.org/10.1007/s10198-019-01084-9.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Schmidt B, Schneider M, Seeger P, van Vianen A, Loerbroks A, Herr RM. A comparison of job stress models: associations with employee well-being, absenteeism, presenteeism, and resulting costs. J Occup Environ Med. 2019;61:535–44. https://doi.org/10.1097/JOM.0000000000001582.

    Article  PubMed  Google Scholar 

  11. Cancelliere C, Donovan J, Stochkendahl MJ, Biscardi M, Ammendolia C, Myburgh C, et al. Factors affecting return to work after injury or illness: best evidence synthesis of systematic reviews. Chiropr Man Therap. 2016;24:32. https://doi.org/10.1186/s12998-016-0113-z.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Skagen K, Collins AM. The consequences of sickness presenteeism on health and wellbeing over time: A systematic review. Soc Sci Med. 2016;161:169–77. https://doi.org/10.1016/j.socscimed.2016.06.005.

    Article  PubMed  Google Scholar 

  13. Toyoshima K, Inoue T, Masuya J, Ichiki M, Fujimura Y, Kusumi I. Evaluation of subjective cognitive function using the Cognitive Complaints in Bipolar Disorder Rating Assessment (COBRA) in Japanese adults. Neuropsychiatr Dis Treat. 2019;15:2981–90. https://doi.org/10.2147/NDT.S218382.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Toyoshima K, Inoue T, Shimura A, Masuya J, Ichiki M, Fujimura Y, et al. Associations between the depressive symptoms, subjective cognitive function, and presenteeism of Japanese adult workers: a cross-sectional survey study. Bio Psycho Social Med. 2020;14:10. https://doi.org/10.1186/s13030-020-00183-x.

    Article  Google Scholar 

  15. Bhushan A, Fondell E, Ascherio A, Yuan C, Grodstein F, Willett W. Adherence to Mediterranean diet and subjective cognitive function in men. Eur J Epidemiol. 2018;33:223–34. https://doi.org/10.1007/s10654-017-0330-3.

    Article  PubMed  Google Scholar 

  16. Nolen-Hoeksema S, Wisco BE, Lyubomirsky S. Rethinking rumination. Perspect Psychol Sci. 2008;3:400–24. https://doi.org/10.1111/j.1745-6924.2008.00088.x.

    Article  PubMed  Google Scholar 

  17. Kühn S, Vanderhasselt MA, De Raedt R, Gallinat J. Why ruminators won't stop: the structural and resting state correlates of rumination and its relation to depression. J Affect Disord. 2012;141:352–60. https://doi.org/10.1016/j.jad.2012.03.024.

    Article  PubMed  Google Scholar 

  18. Ottaviani C, Thayer JF, Verkuil B, Lonigro A, Medea B, Couyoumdjian A, et al. Physiological concomitants of perseverative cognition: A systematic review and meta-analysis. Psychol Bull. 2016;142:231–59. https://doi.org/10.1037/bul0000036.

    Article  PubMed  Google Scholar 

  19. Chiu CPY, Griffith JW, Lenaert B, Raes F, Hermans D, Barry TJ. Meta-analysis of the association between rumination and reduced autobiographical memory specificity. Memory. 2018;26:1323–34. https://doi.org/10.1080/09658211.2018.1474928.

    Article  PubMed  Google Scholar 

  20. Yang Y, Cao S, Shields GS, Teng Z, Liu Y. The relationships between rumination and core executive functions: A meta-analysis. Depress Anxiety. 2017;34:37–50. https://doi.org/10.1002/da.22539.

    Article  PubMed  Google Scholar 

  21. Cropley M, Zijlstra FR, Querstret D, Beck S. Is work-related rumination associated with deficits in executive functioning? Front Psychol. 2016;7:1524. https://doi.org/10.3389/fpsyg.2016.01524.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Zoupanou Z, Rydstedt LW. The mediating and moderating role of affective rumination between work interruptions and well-being. Work. 2019;62:553–61. https://doi.org/10.3233/WOR-192890.

    Article  PubMed  Google Scholar 

  23. Gu J, Strauss C, Bond R, Cavanagh K. How do mindfulness-based cognitive therapy and mindfulness-based stress reduction improve mental health and wellbeing? A systematic review and meta-analysis of mediation studies. Clin Psychol Rev. 2015;37:1–12. https://doi.org/10.1016/j.cpr.2015.01.006.

    Article  CAS  PubMed  Google Scholar 

  24. Cropley M, Collis H. The association between work-related rumination and executive function using the Behavior Rating Inventory of Executive Function. Front Psychol. 2020;11:821. https://doi.org/10.3389/fpsyg.2020.00821.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Harrington R, Loffredo DA. Insight, rumination, and self-reflection as predictors of well-being. Aust J Psychol. 2011;145(1):39–57. https://doi.org/10.1080/00223980.2010.528072.

  26. Karabati S, Ensari N, Fiorentino D. Job satisfaction, rumination, and subjective well-being: A moderated mediational model. J Happiness Stud. 2019;20(1):251–68. https://doi.org/10.1007/s10902-017-9947-x.

  27. Liu M, Wang N, Wang P, Wu H, Ding X, Zhao F. Negative emotions and job burnout in news media workers: A moderated mediation model of rumination and empathy. J Affect Disord. 2021;279:75–82. https://doi.org/10.1016/j.jad.2020.09.123.

  28. Rosa AR, Mercadé C, Sánchez-Moreno J, Solé B, Del Mar Bonnin C, Torrentet C, et al. Validity and reliability of a rating scale on subjective cognitive deficits in bipolar disorder (COBRA). J Affect Disord. 2013;150:29–36. https://doi.org/10.1016/j.jad.2013.02.022.

    Article  PubMed  Google Scholar 

  29. Lo BCY, Lau S, Cheung SH, Allen NB. The impact of rumination on internal attention switching. Cognit Emot. 2012;26(2):209–23. https://doi.org/10.1080/02699931.2011.574997.

  30. van Vugt MK, van der Velde M. ESM-MERGE Investigators. How does rumination impact cognition? A first mechanistic model. Top Cogn Sci. 2018;10(1):175–91. https://doi.org/10.1111/tops.12318.

  31. Schudy A, Żurek K, Wiśniewska M, Piejka A, Gawȩda L, Okruszek L. Mental well-being during pandemic: The role of cognitive biases and emotion regulation strategies in risk perception and affective response to COVID-19. Front Psychiatr. 2020;11:589973. https://doi.org/10.3389/fpsyt.2020.589973.

  32. Gavelin HM, Boraxbekk CJ, Stenlund T, Järvholm LS, Neely AS. Effects of a process-based cognitive training intervention for patients with stress-related exhaustion. Stress. 2015;18(5):578–88. https://doi.org/10.3109/10253890.2015.1064892.

  33. Nelson A, Gavelin HM, Boraxbekk CJ, Eskilsson T, Josefsson M, Järvholm LS, et al. Subjective cognitive complaints in patients with stress-related exhaustion disorder: a cross sectional study. BMC Psychol. 2021;9(1):84. https://doi.org/10.1186/s40359-021-00576-9.

  34. Gosselin E, Lemyre L, Corneil W. Presenteeism and absenteeism: differentiated understanding of related phenomena. J Occup Health Psychol. 2013;18:75–86. https://doi.org/10.1037/a0030932.

    Article  PubMed  Google Scholar 

  35. Böckerman P, Ilmakunnas P. The job satisfaction-productivity nexus: A study using matched survey and register data. Ind Labor Relat Rev. 2012;65:244–62. https://doi.org/10.1177/001979391206500203.

    Article  Google Scholar 

  36. Kim S, Yu BH, Lee DS, Kim JH. Ruminative response in clinical patients with major depressive disorder, bipolar disorder, and anxiety disorders. J Affect Disord. 2012;136:e77–81. https://doi.org/10.1016/j.jad.2011.06.034.

    Article  PubMed  Google Scholar 

  37. Smith EM, Reynolds S, Orchard F, Whalley HC, Chan SW. Cognitive biases predict symptoms of depression, anxiety and wellbeing above and beyond neuroticism in adolescence. J Affect Disord. 2018;241:446–53. https://doi.org/10.1016/j.jad.2018.08.051.

    Article  PubMed  Google Scholar 

  38. Sakuraya A, Imamura K, Watanabe K, Asai Y, Ando E, Eguchi H, et al. What kind of intervention is effective for improving subjective well-being among workers? A systematic review and meta-analysis of randomized controlled trials. Front Psychol. 2020;11:528656. https://doi.org/10.3389/fpsyg.2020.528656.

    Article  PubMed  PubMed Central  Google Scholar 

  39. Toyoshima K, Inoue T, Shimura A, Uchida Y, Masuya J, Fujimura Y, et al. Mediating roles of cognitive complaints on relationships between insomnia, state anxiety, and presenteeism in Japanese adult workers. Int J Environ Res Public Health. 2021;18:4516. https://doi.org/10.3390/ijerph18094516.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Fredman Stein K, Morys-Carter WL, Hinkley L. Rumination and impaired prospective memory. J Gen Psychol. 2018;145:266–79. https://doi.org/10.1080/00221309.2018.1469464.

    Article  PubMed  Google Scholar 

  41. Taloyan M, Aronsson G, Leineweber C, Magnusson Hanson L, Alexanderson K, Westerlund H. Sickness presenteeism predicts suboptimal self-rated health and sickness absence: a nationally representative study of the Swedish working population. PLoS One. 2012;7:e44721. https://doi.org/10.1371/journal.pone.0044721.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. Jeong W, Kim YK, Oh SS, Yoon JH, Park EC. Association between presenteeism/absenteeism and well-being among Korean workers. J Occup Environ Med. 2020;62(8):574–80. https://doi.org/10.1097/JOM.0000000000001901.

  43. Zhang J, Wang S, Wang W, Shan G, Guo S, Li Y. Nurses’ job insecurity and emotional exhaustion: The mediating effect of presenteeism and the moderating effect of supervisor support. Front Psychol. 2020;11:2239. https://doi.org/10.3389/fpsyg.2020.02239.

  44. Vahle-Hinz T, Mauno S, de Bloom J, Kinnunen U. Rumination for innovation? Analysing the longitudinal effects of work-related rumination on creativity at work and off-job recovery. Work Stress. 2017;31:315–37. https://doi.org/10.1080/02678373.2017.1303761.

    Article  Google Scholar 

  45. Zhang J, Li W, Ma H, Smith AP. Switch off totally or switch off strategically? The consequences of thinking about work on job performance. Psychol Rep. 2020:33294120968080. Advance online publication. https://doi.org/10.1177/0033294120968080.

  46. Nolen-Hoeksema S, Morrow J. A prospective study of depression and posttraumatic stress symptoms after a natural disaster: the 1989 Loma Prieta earthquake. J Pers Soc Psychol. 1991;61:115–21. https://doi.org/10.1037//0022-3514.61.1.115.

    Article  CAS  PubMed  Google Scholar 

  47. Treynor W, Gonzalez R, Nolen-Hoeksema S. Rumination reconsidered: A psychometric analysis. Cognit Ther Res. 2003;27:247–59. https://doi.org/10.1023/A:1023910315561.

    Article  Google Scholar 

  48. Schoofs H, Hermans D, Raes F. Brooding and reflection as subtypes of rumination: evidence from confirmatory factor analysis in nonclinical samples using the Dutch Ruminative Response Scale. J Psychopathol Behav Assess. 2010;32:609–17. https://doi.org/10.1007/s10862-010-9182-9.

    Article  Google Scholar 

  49. Hasegawa A. Translation and initial validation of the Japanese version of the Ruminative Responses Scale. Psychol Rep. 2013;112:716–26. https://doi.org/10.2466/02.08.PR0.112.3.716-726.

    Article  PubMed  Google Scholar 

  50. Toyoshima K, Fujii Y, Mitsui N, Kako Y, Asakura S, Martinez-Aran A, et al. Validity and reliability of the Cognitive Complaints in Bipolar Disorder Rating Assessment (COBRA) in Japanese patients with bipolar disorder. Psychiatry Res. 2017;254:85–9. https://doi.org/10.1016/j.psychres.2017.04.043.

    Article  PubMed  Google Scholar 

  51. Lerner D, Amick BC III, Rogers WH, Malspeis S, Bungay K, Cynn D. The work limitations questionnaire. Med Care. 2001;39:72–85. https://doi.org/10.1097/00005650-200101000-00009.

    Article  CAS  PubMed  Google Scholar 

  52. Burton WN, Pransky G, Conti DJ, Chen CY, Edington DW. The association of medical conditions and presenteeism. J Occup Environ Med. 2004;46:S38–45. https://doi.org/10.1097/01.jom.0000126687.49652.44.

    Article  PubMed  Google Scholar 

  53. Takegami M, Yamazaki S, Greenhill A, Chang H, Fukuhara S. Work performance assessed by a newly developed Japanese version of the Work Limitation Questionnaire in a general Japanese adult population. J Occup Health. 2014;56:124–33. https://doi.org/10.1539/joh.13-0087-oa.

    Article  PubMed  Google Scholar 

  54. Lerner D, Chang H, Rogers WH, Benson C, Schein J, Allaire S. A method for imputing the impact of health problems on at-work performance and productivity from available health data. J Occup Environ Med. 2009;51:515–24. https://doi.org/10.1097/JOM.0b013e3181a82517.

    Article  PubMed  Google Scholar 

  55. Sell H, Nagpal R. Assessment of subjective well-being. The subjective well-being inventory (SUBI). Regional Health Paper. SEARO, 24. New Delhi: Regional Office for South-East Asia, World Health Organization; 1992. https://apps.who.int/iris/handle/10665/204813.

  56. Tonan K, Sonoda A, Ono Y. Production of the subjective well-being inventory, Japanese Edition: it’s reliability and validity. Jpn J Heal Psychol. 1995;8:12–9. https://doi.org/10.11560/jahp.8.2_12.

    Article  Google Scholar 

  57. Ono Y, Yoshimura K. The subjective well-being inventory Japanese version. Tokyo: Kanekoshobo; 2001.

    Google Scholar 

  58. Toyoshima K, Inoue T, Masuya J, Fujimura Y, Higashi S, Kusumi I. Associations among childhood parenting, affective temperaments, depressive symptoms, and cognitive complaints in adult community volunteers. J Affect Disord. 2020;276:361–8. https://doi.org/10.1016/j.jad.2020.07.107.

    Article  PubMed  Google Scholar 

  59. Toyoshima K, Inoue T, Masuya J, Fujimura Y, Higashi S, Kusumi I. Does subjective cognitive function mediate the effect of affective temperaments on functional disability in Japanese adults? Neuropsychiatr Dis Treat. 2020;16:1675–84. https://doi.org/10.2147/NDT.S256647.

    Article  PubMed  PubMed Central  Google Scholar 

  60. Mazzetti G, Vignoli M, Schaufeli WB, Guglielmi D. Work addiction and presenteeism: the buffering role of managerial support. Int J Psychol. 2019;54:174–9. https://doi.org/10.1002/ijop.12449.

    Article  PubMed  Google Scholar 

  61. Zheng Z, Peng F, Xu B, Zhao J, Liu H, Peng J, et al. Risk factors of critical & mortal COVID-19 cases: A systematic literature review and meta-analysis. J Inf Secur. 2020;81:e16–25. https://doi.org/10.1016/j.jinf.2020.04.021.

    Article  CAS  Google Scholar 

  62. Toyoshima K, Ichiki M, Inoue T, Masuya J, Fujimura Y, Higashi S, et al. The role of cognitive complaints in the relationship between trait anxiety, depressive symptoms, and subjective well-being and ill-being in adult community volunteers. Neuropsychiatr Dis Treat. 2021;17:1299–309. https://doi.org/10.2147/NDT.S303751.

    Article  PubMed  PubMed Central  Google Scholar 

  63. Jones NP, Siegle GJ, Thase ME. Effects of rumination and initial severity on remission to cognitive therapy for depression. Cognit Ther Res. 2008;32:591–604. https://doi.org/10.1007/s10608-008-9191-0.

    Article  Google Scholar 

  64. Spinhoven P, Klein N, Kennis M, Cramer AOJ, Siegle G, Cuijpers P, et al. The effects of cognitive-behavior therapy for depression on repetitive negative thinking: a meta-analysis. Behav Res Ther. 2018;106:71–85. https://doi.org/10.1016/j.brat.2018.04.002.

    Article  PubMed  Google Scholar 

  65. Hvenegaard M, Moeller SB, Poulsen S, Gondan M, Grafton B, Austin SF, et al. Group rumination-focused cognitive-behavioural therapy (CBT) v. group CBT for depression: phase II trial. Psychol Med. 2020;50:11–9. https://doi.org/10.1017/S0033291718003835.

    Article  PubMed  Google Scholar 

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Acknowledgments

We thank Dr. Nobutada Takahashi of Fuji Psychosomatic Rehabilitation Institute Hospital, Dr. Hiroshi Matsuda of Kashiwazaki Kosei Hospital, the late Dr. Yasuhiko Takita of Maruyamasou Hospital, and Dr. Yoshihide Takaesu of Izumi Hospital for collecting data. We also thank our colleagues at Hokkaido University and Tokyo Medical University.

Funding

This work was partly supported by a Grant-in-Aid for Scientific Research from the Japanese Ministry of Education, Culture, Sports, Science and Technology [grant number 16K10194 to T. Inoue], Research and Development Grants for Comprehensive Research for Persons with Disabilities from the Japan Agency for Medical Research and Development [grant number JP18dk0307060 to T. Inoue], SENSHIN Medical Research Foundation [Grant Number: Not available to T. Inoue], and JSPS KAKENHI [grant Number JP20K16662 to K. Toyoshima]. The funding sources had no role in the study design, collection, analysis or interpretation of the data, writing the manuscript, or the decision to submit the article for publication.

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Authors and Affiliations

  1. Department of Psychiatry, Hokkaido University Graduate School of Medicine, Kita 15, Nishi 7, Kita-ku, Sapporo, 060-8638, Japan

    Kuniyoshi Toyoshima & Ichiro Kusumi

  2. Department of Psychiatry, Tokyo Medical University, 6-7-1 Nishishinjuku, Shinjuku-ku, Tokyo, 160-0023, Japan

    Masahiko Ichiki, Takeshi Inoue, Akiyoshi Shimura, Jiro Masuya, Yota Fujimura & Shinji Higashi

  3. Department of Psychiatry, Tokyo Medical University Hachioji Medical Center, 1163, Tate-machi, Hachioji, Tokyo, 193-0998, Japan

    Yota Fujimura

  4. Department of Psychiatry, Tokyo Medical University Ibaraki Medical Center, 3-20-1 Chuo, Ami-machi, Inashiki-gun, Ibaraki, 300-0395, Japan

    Shinji Higashi

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  1. Kuniyoshi Toyoshima
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Contributions

K.T., M.I., T.I., and I.K. designed the study. K.T., M.I., T.I., A.S., J.M., Y.F., and S.H. collected and analyzed the data, and contributed to drafting the manuscript. I.K. supervised the preparation of the paper. All authors have read and agreed to the published version of the manuscript.

Corresponding author

Correspondence to Kuniyoshi Toyoshima.

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Ethics approval and consent to participate

This research was approved by the Local Ethics Review Board of the Tokyo Medical University (Ethics Approval Number: SH3502). All study procedures were carried out in accordance with the principles in Declaration of Helsinki. All subjects provided written informed consent after receiving an explanation about this research.

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All authors have given consent for publication.

Competing interests

M. I. received personal compensation from Otsuka Pharmaceutical, Pfizer, Eli Lilly, Mitsubishi Tanabe Pharma, Mochida Pharmaceutical, Meiji Seika Pharma, Janssen Pharmaceutical, Takeda Pharmaceutical, MSD, Dainippon Sumitomo Pharma, and Eisai; grants from Otsuka Pharmaceutical, Eli Lilly, Eisai, Shionogi, Takeda Pharmaceutical, MSD, and Pfizer; and is a member of the advisory board of Meiji Seika Pharma.

J. M. has received personal compensation from Otsuka Pharmaceutical, Eli Lilly, Astellas, and Meiji Yasuda Mental Health Foundation as well as grants from Pfizer.

I. K. has received honoraria from Daiichi Sankyo, Dainippon Sumitomo Pharma, Eisai, Eli Lilly, Janssen Pharmaceutical, Lundbeck, Meiji Seika Pharma, Mochida Pharmaceutical, MSD, Mylan, Novartis Pharma, Ono Pharmaceutical, Otsuka Pharmaceutical, Pfizer, Shionogi, Shire, Taisho Toyama Pharmaceutical, Takeda Pharmaceutical, Tsumura, and Yoshitomiyakuhin and has received research/grant support from Asahi Kasei Pharma, Astellas, Daiichi Sankyo, Dainippon Sumitomo Pharma, Eisai, Eli Lilly, Mochida Pharmaceutical, Novartis Pharma, Otsuka Pharmaceutical, Pfizer, Shionogi, Takeda Pharmaceutical, and Tanabe Mitsubishi Pharma.

T. I. is a member of the advisory boards of Pfizer, Novartis Pharma, and Mitsubishi Tanabe Pharma and has received personal fees from Mochida Pharmaceutical, Takeda Pharmaceutical, Eli Lilly, Janssen Pharmaceutical, MSD, Taisho Toyama Pharmaceutical, Yoshitomiyakuhin, and Daiichi Sankyo; grants from Shionogi, Astellas, Tsumura, and Eisai; and grants and personal fees from Otsuka Pharmaceutical, Dainippon Sumitomo Pharma, Mitsubishi Tanabe Pharma, Kyowa Pharmaceutical Industry, Pfizer, Novartis Pharma, and Meiji Seika Pharma.

Y. F. has received research and grant support from Novartis Pharma, Otsuka Pharmaceutical, Astellas, Dainippon Sumitomo Pharma, and Shionogi.

S. H. received honoraria from Dainippon Sumitomo Pharma and Novartis Pharma.

A.S. reports personal fees from Eisai, Dainippon Sumitomo Pharma, MSD, Yoshitomi Yakuhin, and Meiji Seika Pharma, outside the submitted work.

K. T. does not have any actual or potential conflicts of interest.

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Supplementary Information

Additional file 1: Supplementary Table 1.

Pearson’s correlation analysis using the Bonferroni correction (N = 458). Description of data: Associations between rumination, subjective cognitive impairment, presenteeism, and subjective well-being and ill-being. The outcomes of Pearson’s correlation analysis are shown in Additional file 1; all correlations were statistically significant. Rumination was positively correlated with SCI and presenteeism and negatively correlated with SWB and SIB. SCI was positively correlated with presenteeism and negatively correlated with SWB and SIB. Presenteeism was negatively correlated with SWB and SIB. SWB was positively correlated with SIB.

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Toyoshima, K., Ichiki, M., Inoue, T. et al. Subjective cognitive impairment and presenteeism mediate the associations of rumination with subjective well-being and ill-being in Japanese adult workers from the community. BioPsychoSocial Med 15, 15 (2021). https://doi.org/10.1186/s13030-021-00218-x

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Keywords

BioPsychoSocial Medicine

ISSN: 1751-0759

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