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Peuters C, Maenhout L, Cardon G, De Paepe A, DeSmet A, Lauwerier E, Leta K, Crombez G. A mobile healthy lifestyle intervention to promote mental health in adolescence: a mixed-methods evaluation. BMC Public Health 2024; 24:44. [PMID: 38166797 PMCID: PMC10763383 DOI: 10.1186/s12889-023-17260-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 11/18/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND A healthy lifestyle may improve mental health. It is yet not known whether and how a mobile intervention can be of help in achieving this in adolescents. This study investigated the effectiveness and perceived underlying mechanisms of the mobile health (mHealth) intervention #LIFEGOALS to promote healthy lifestyles and mental health. #LIFEGOALS is an evidence-based app with activity tracker, including self-regulation techniques, gamification elements, a support chatbot, and health narrative videos. METHODS A quasi-randomized controlled trial (N = 279) with 12-week intervention period and process evaluation interviews (n = 13) took place during the COVID-19 pandemic. Adolescents (12-15y) from the general population were allocated at school-level to the intervention (n = 184) or to a no-intervention group (n = 95). Health-related quality of life (HRQoL), psychological well-being, mood, self-perception, peer support, resilience, depressed feelings, sleep quality and breakfast frequency were assessed via a web-based survey; physical activity, sedentary time, and sleep routine via Axivity accelerometers. Multilevel generalized linear models were fitted to investigate intervention effects and moderation by pandemic-related measures. Interviews were coded using thematic analysis. RESULTS Non-usage attrition was high: 18% of the participants in the intervention group never used the app. An additional 30% stopped usage by the second week. Beneficial intervention effects were found for physical activity (χ21 = 4.36, P = .04), sedentary behavior (χ21 = 6.44, P = .01), sleep quality (χ21 = 6.11, P = .01), and mood (χ21 = 2.30, P = .02). However, effects on activity-related behavior were only present for adolescents having normal sports access, and effects on mood only for adolescents with full in-school education. HRQoL (χ22 = 14.72, P < .001), mood (χ21 = 6.03, P = .01), and peer support (χ21 = 13.69, P < .001) worsened in adolescents with pandemic-induced remote-education. Interviewees reported that the reward system, self-regulation guidance, and increased health awareness had contributed to their behavior change. They also pointed to the importance of social factors, quality of technology and autonomy for mHealth effectiveness. CONCLUSIONS #LIFEGOALS showed mixed results on health behaviors and mental health. The findings highlight the role of contextual factors for mHealth promotion in adolescence, and provide suggestions to optimize support by a chatbot and narrative episodes. TRIAL REGISTRATION ClinicalTrials.gov [NCT04719858], registered on 22/01/2021.
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Affiliation(s)
- Carmen Peuters
- Department of Experimental-Clinical and Health Psychology, Ghent University, Henri Dunantlaan 2, 9000, Ghent, Belgium
- Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium
| | - Laura Maenhout
- Department of Experimental-Clinical and Health Psychology, Ghent University, Henri Dunantlaan 2, 9000, Ghent, Belgium
- Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium
| | - Greet Cardon
- Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium
| | - Annick De Paepe
- Department of Experimental-Clinical and Health Psychology, Ghent University, Henri Dunantlaan 2, 9000, Ghent, Belgium
| | - Ann DeSmet
- Faculty of Psychology, Educational Sciences and Speech Therapy, Université Libre de Bruxelles, Bruxelles, Belgium
- Department of Communication Studies, University of Antwerp, Antwerp, Belgium
| | - Emelien Lauwerier
- Department of Experimental-Clinical and Health Psychology, Ghent University, Henri Dunantlaan 2, 9000, Ghent, Belgium
- Department of Public Health and Primary Care, Ghent University, Ghent, Belgium
| | - Kenji Leta
- Department of Public Health and Primary Care, Ghent University, Ghent, Belgium
| | - Geert Crombez
- Department of Experimental-Clinical and Health Psychology, Ghent University, Henri Dunantlaan 2, 9000, Ghent, Belgium.
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Maenhout L, Peuters C, Cardon G, Crombez G, DeSmet A, Compernolle S. Nonusage Attrition of Adolescents in an mHealth Promotion Intervention and the Role of Socioeconomic Status: Secondary Analysis of a 2-Arm Cluster-Controlled Trial. JMIR Mhealth Uhealth 2022; 10:e36404. [PMID: 35536640 PMCID: PMC9131163 DOI: 10.2196/36404] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Revised: 03/23/2022] [Accepted: 03/24/2022] [Indexed: 11/13/2022] Open
Abstract
Background Mobile health (mHealth) interventions may help adolescents adopt healthy lifestyles. However, attrition in these interventions is high. Overall, there is a lack of research on nonusage attrition in adolescents, particularly regarding the role of socioeconomic status (SES). Objective The aim of this study was to focus on the role of SES in the following three research questions (RQs): When do adolescents stop using an mHealth intervention (RQ1)? Why do they report nonusage attrition (RQ2)? Which intervention components (ie, self-regulation component, narrative, and chatbot) prevent nonusage attrition among adolescents (RQ3)? Methods A total of 186 Flemish adolescents (aged 12-15 years) participated in a 12-week mHealth program. Log data were monitored to measure nonusage attrition and usage duration for the 3 intervention components. A web-based questionnaire was administered to assess reasons for attrition. A survival analysis was conducted to estimate the time to attrition and determine whether this differed according to SES (RQ1). Descriptive statistics were performed to map the attrition reasons, and Fisher exact tests were used to determine if these reasons differed depending on the educational track (RQ2). Mixed effects Cox proportional hazard regression models were used to estimate the associations between the use duration of the 3 components during the first week and attrition. An interaction term was added to the regression models to determine whether associations differed by the educational track (RQ3). Results After 12 weeks, 95.7% (178/186) of the participants stopped using the app. 30.1% (56/186) of the adolescents only opened the app on the installation day, and 44.1% (82/186) stopped using the app in the first week. Attrition at any given time during the intervention period was higher for adolescents from the nonacademic educational track compared with those from the academic track. The other SES indicators (family affluence and perceived financial situation) did not explain attrition. The most common reasons for nonusage attrition among participants were perceiving that the app did not lead to behavior change, not liking the app, thinking that they already had a sufficiently healthy lifestyle, using other apps, and not being motivated by the environment. Attrition reasons did not differ depending on the educational track. More time spent in the self-regulation and narrative components during the first week was associated with lower attrition, whereas chatbot use duration was not associated with attrition rates. No moderating effects of SES were observed in the latter association. Conclusions Nonusage attrition was high, especially among adolescents in the nonacademic educational track. The reported reasons for attrition were diverse, with no statistical differences according to the educational level. The duration of the use of the self-regulation and narrative components during the first week may prevent attrition for both educational tracks. Trial Registration ClinicalTrials.gov NCT04719858; http://clinicaltrials.gov/ct2/show/NCT04719858
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Affiliation(s)
- Laura Maenhout
- Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium
- Research Foundation Flanders (FWO), Brussels, Belgium
| | - Carmen Peuters
- Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium
- Department of Experimental-Clinical and Health Psychology, Ghent University, Ghent, Belgium
| | - Greet Cardon
- Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium
| | - Geert Crombez
- Department of Experimental-Clinical and Health Psychology, Ghent University, Ghent, Belgium
| | - Ann DeSmet
- Faculty of Psychology and Educational Sciences, Université Libre de Bruxelles, Brussels, Belgium
- Department of Communication Studies, University of Antwerp, Antwerp, Belgium
| | - Sofie Compernolle
- Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium
- Research Foundation Flanders (FWO), Brussels, Belgium
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Peuters C, Cummins J, Vandendriessche A, DeSmet A, Crombez G. Assessing sleep-related attitudes with the implicit association test: A prospective study in young adults. J Sleep Res 2022; 31:e13536. [PMID: 34984758 DOI: 10.1111/jsr.13536] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Revised: 11/15/2021] [Accepted: 12/01/2021] [Indexed: 11/28/2022]
Abstract
The measurement of automatic attitudes towards sleep, in addition to reflective self-reports, might improve our ability to predict and explain sleep-hindering practices. Two types of implicit association tests (IATs), a sleep-related evaluations IAT and a sleep-related self-identity IAT, were developed to evaluate their efficacy for assessing automatic sleep-related attitudes. In addition, a speeded self-report measure of sleep evaluations was explored as a means to assess automatic sleep-related attitudes. The study included 136 young adults (age = 21.70 ± 2.22, 43% female). At baseline, the two IATs, the speeded self-report, and standard self-reports of sleep determinants (reflective attitudes, self-efficacy, intention and action planning for sleep-promoting behaviour), sleep hygiene practices, sleep quality, and sleep duration were assessed. All variables except for the sleep determinants were assessed again at 2-week follow-up. The results demonstrated good reliability of the two IAT versions, but both IATs were unrelated to the speeded self-report, the sleep determinants, sleep practices, sleep quality or sleep duration. The speeded self-report correlated significantly with the standard self-reports of sleep determinants. Baseline scores on the IATs or speeded self-report did not predict sleep hygiene practices, sleep duration or sleep quality at follow-up. The findings indicate that sleep-related IATs might not be suited to assess automatic sleep-related attitudes. Further investigation is needed to determine whether speeded self-reports are valid measures of automatic attitudes. Moreover, more empirical research is required to clarify the role of automatic processes for sleep hygiene behaviours.
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Affiliation(s)
- Carmen Peuters
- Department of Experimental-Clinical and Health Psychology, Ghent University, Ghent, Belgium.,Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium
| | - Jamie Cummins
- Department of Experimental-Clinical and Health Psychology, Ghent University, Ghent, Belgium
| | - Ann Vandendriessche
- Department of Public Health and Primary Care, Ghent University, Ghent, Belgium
| | - Ann DeSmet
- Department of Communication Studies, University of Antwerp, Antwerp, Belgium.,Faculty of Psychological and Educational Sciences, Université libre de Bruxelles, Brussels, Belgium
| | - Geert Crombez
- Department of Experimental-Clinical and Health Psychology, Ghent University, Ghent, Belgium
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Maenhout L, Peuters C, Cardon G, Compernolle S, Crombez G, DeSmet A. Participatory Development and Pilot Testing of an Adolescent Health Promotion Chatbot. Front Public Health 2021; 9:724779. [PMID: 34858919 PMCID: PMC8632020 DOI: 10.3389/fpubh.2021.724779] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Accepted: 10/13/2021] [Indexed: 11/13/2022] Open
Abstract
Background: The use of chatbots may increase engagement with digital behavior change interventions in youth by providing human-like interaction. Following a Person-Based Approach (PBA), integrating user preferences in digital tool development is crucial for engagement, whereas information on youth preferences for health chatbots is currently limited. Objective: The aim of this study was to gain an in-depth understanding of adolescents' expectations and preferences for health chatbots and describe the systematic development of a health promotion chatbot. Methods: Three studies in three different stages of PBA were conducted: (1) a qualitative focus group study (n = 36), (2) log data analysis during pretesting (n = 6), and (3) a mixed-method pilot testing (n = 73). Results: Confidentiality, connection to youth culture, and preferences when referring to other sources were important aspects for youth in chatbots. Youth also wanted a chatbot to provide small talk and broader support (e.g., technical support with the tool) rather than specifically in relation to health behaviors. Despite the meticulous approach of PBA, user engagement with the developed chatbot was modest. Conclusion: This study highlights that conducting formative research at different stages is an added value and that adolescents have different chatbot preferences than adults. Further improvement to build an engaging chatbot for youth may stem from using living databases.
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Affiliation(s)
- Laura Maenhout
- Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium.,Department of Experimental-Clinical and Health Psychology, Ghent University, Ghent, Belgium.,Research Foundation Flanders (FWO), Brussels, Belgium
| | - Carmen Peuters
- Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium.,Department of Experimental-Clinical and Health Psychology, Ghent University, Ghent, Belgium
| | - Greet Cardon
- Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium
| | - Sofie Compernolle
- Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium.,Research Foundation Flanders (FWO), Brussels, Belgium
| | - Geert Crombez
- Department of Experimental-Clinical and Health Psychology, Ghent University, Ghent, Belgium
| | - Ann DeSmet
- Faculty of Psychology and Educational Sciences, Université Libre de Bruxelles, Brussels, Belgium.,Department of Communication Studies, Faculty of Social Sciences, University of Antwerp, Antwerp, Belgium
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Maenhout L, Peuters C, Cardon G, Compernolle S, Crombez G, DeSmet A. The association of healthy lifestyle behaviors with mental health indicators among adolescents of different family affluence in Belgium. BMC Public Health 2020; 20:958. [PMID: 32552853 PMCID: PMC7301480 DOI: 10.1186/s12889-020-09102-9] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2019] [Accepted: 06/12/2020] [Indexed: 01/06/2023] Open
Abstract
BACKGROUND Healthy lifestyles may contribute to better mental health, which is particularly important in adolescence, an age at which half of all mental health problems first occur. This association may be even more relevant in adolescents of low family affluence, who show more mental health problems, as well as more unhealthy lifestyles. This study investigated healthy lifestyle behaviors, namely sufficient sleep and physical activity, daily breakfast intake, low levels of alcohol use or smoking, in relation to mental health and symptoms of mental health problems (feelings of depression, anxiety, stress and self-esteem) among adolescents from different family affluence. Furthermore, the moderating role of family affluence was examined in those relations. METHODS Adolescents aged 12-18y were recruited via a random sample of schools in Flanders, Belgium. A total of 1037 adolescents participated (mean age = 15.2, 49.8% female). Independent samples t-tests, Mann Whitney U-tests and χ2-tests determined the differences in healthy lifestyle behaviors and mental health indicators between adolescents of low-medium and high family affluence. Regression analyses assessed the association between healthy lifestyles and mental health outcomes and the moderating role of family affluence. RESULTS All healthy lifestyle behaviors were associated with at least one mental health outcome, with the exception of alcohol consumption. Adolescents from low-medium family affluence had lower levels of physical activity, less often took breakfast, had lower levels of alcohol consumption and reported lower self-esteem than adolescents from high family affluence. The results showed no moderating effect of family affluence for the association between healthy lifestyle and mental health. CONCLUSION These findings support the value of integrating healthy lifestyle behaviors in interventions for mental health promotion, for both youth of low-medium and high family affluence.
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Affiliation(s)
- L Maenhout
- Department of Movement and Sports Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium. .,Department of Experimental-Clinical and Health Psychology, Faculty of Psychology and Educational Sciences, Ghent University, Ghent, Belgium.
| | - C Peuters
- Department of Movement and Sports Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium.,Department of Experimental-Clinical and Health Psychology, Faculty of Psychology and Educational Sciences, Ghent University, Ghent, Belgium
| | - G Cardon
- Department of Movement and Sports Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | - S Compernolle
- Department of Movement and Sports Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | - G Crombez
- Department of Experimental-Clinical and Health Psychology, Faculty of Psychology and Educational Sciences, Ghent University, Ghent, Belgium
| | - A DeSmet
- Faculty of Psychology and Educational Sciences, Université Libre de Bruxelles, Brussels, Belgium.,Department of Communication Studies, Faculty of Social Sciences, University of Antwerp, Antwerp, Belgium
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Aznar-Lou I, Iglesias-González M, Rubio-Valera M, Peñarrubia-Maria MT, Mendive JM, Murrugarra-Centurión AG, Gil-Girbau M, González-Suñer L, Peuters C, Serrano-Blanco A. Diagnostic accuracy and treatment approach to depression in primary care: predictive factors. Fam Pract 2019; 36:3-11. [PMID: 30423158 DOI: 10.1093/fampra/cmy098] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
OBJECTIVE The study assessed the predictive factors of diagnostic accuracy and treatment approach (antidepressants versus active monitoring) for depression in primary care. METHODS This is a cross-sectional study that uses information from a naturalistic prospective controlled trial performed in Barcelona (Spain) enrolling newly diagnosed patients with mild to moderate depression by GPs. Treatment approach was based on clinical judgement. Diagnosis was later assessed according to DSM-IV criteria using Structured Clinical Interview for DSM-IV Axis I Disorders (SCID-I) interview by an external researcher. Patients (sociodemographic, psychiatric diagnosis, severity of depression and anxiety, health-related quality of life, disability, beliefs about medication and illness and comorbidities) and GP factors associated with diagnostic accuracy and treatment approach were assessed using multilevel logistic regression. Variables with missing data were imputed through multiple imputations. RESULTS Two hundred sixty-three patients were recruited by 53 GPs. Mean age was 51 years (SD = 15). Thirty percent met DSM-IV criteria for major depression. Mean depression symptomatology was moderate-severe. Using multivariate analyses, patients' beliefs about medicines were the only variable associated with the antidepressant approach. Specialization in general medicine and being a resident tutor were associated with a more accurate diagnosis. CONCLUSIONS Clinical depression diagnosis by GPs was not always associated with a formal diagnosis through a SCID-I. GPs' training background was central to an adequate depression diagnosis. Patients' beliefs in medication were the only factor associated with treatment approach. More resources should be allocated to improving the diagnosis of depression.
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Affiliation(s)
- Ignacio Aznar-Lou
- Teaching, Research and Innovation Unit, Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Spain.,Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública, CIBERESP, Madrid, Spain.,Fundació Idiap Jordi Gol i Gurina, Barcelona, Spain
| | - Maria Iglesias-González
- Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, Spain.,School of Medicine, University of Barcelona, Barcelona, Spain
| | - Maria Rubio-Valera
- Teaching, Research and Innovation Unit, Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Spain.,Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública, CIBERESP, Madrid, Spain.,Fundació Idiap Jordi Gol i Gurina, Barcelona, Spain.,Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, Spain
| | - M Teresa Peñarrubia-Maria
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública, CIBERESP, Madrid, Spain.,Fundació Idiap Jordi Gol i Gurina, Barcelona, Spain.,SAP Delta Llobregat, DAP Costa Ponent, Institut Català de la Salut, Catalonia, Spain
| | - Juan M Mendive
- Fundació Idiap Jordi Gol i Gurina, Barcelona, Spain.,Primary Care Prevention and Health Promotion Research Network (redIAPP), Barcelona, Spain.,La Mina Primary Care Centre, Institut Català de la Salut, Sant Adrià de Besós, Spain
| | - Ana G Murrugarra-Centurión
- Teaching, Research and Innovation Unit, Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Spain.,Primary Care Prevention and Health Promotion Research Network (redIAPP), Barcelona, Spain
| | - Montserrat Gil-Girbau
- Teaching, Research and Innovation Unit, Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Spain.,Fundació Idiap Jordi Gol i Gurina, Barcelona, Spain.,Primary Care Prevention and Health Promotion Research Network (redIAPP), Barcelona, Spain
| | | | - Carmen Peuters
- Department of Movement and Sports Sciences, Ghent University, Belgium
| | - Antoni Serrano-Blanco
- Teaching, Research and Innovation Unit, Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Spain.,Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública, CIBERESP, Madrid, Spain.,Fundació Idiap Jordi Gol i Gurina, Barcelona, Spain.,Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, Spain.,School of Medicine, University of Barcelona, Barcelona, Spain
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Peuters C, Kalokerinos EK, Pe ML, Kuppens P. Sequential effects of reappraisal and rumination on anger during recall of an anger-provoking event. PLoS One 2019; 14:e0209029. [PMID: 30601837 PMCID: PMC6314601 DOI: 10.1371/journal.pone.0209029] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2018] [Accepted: 11/27/2018] [Indexed: 01/20/2023] Open
Abstract
In everyday life, people often combine strategies to regulate their emotions. However, to date, most research has investigated emotion regulation strategies as if they occur independently from one another. The current study aims to better understand the sequential interplay between strategies by investigating how reappraisal and rumination interact to affect anger experience. After participants (N = 156) recalled a recent anger-provoking event, they were instructed to either a) reappraise the event twice, b) reappraise the event, and then ruminate about the event, c) ruminate about the event, and then reappraise the event, or d) ruminate twice about the event. The effects of the first strategy used replicated a large body of research: reappraisal was associated with a decrease in anger, but rumination was associated with no change in anger. There was a small interactive effect of the combination of the two strategies, such that those who ruminated and then reappraised showed a larger decrease in anger than those who reappraised and then ruminated. There were no other differences between groups. This suggests that the second strategy does have an effect over and beyond the first strategy, but this effect is small in size, highlighting the importance of the initial emotion regulation strategy used.
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Affiliation(s)
- Carmen Peuters
- Faculty of Psychology and Educational Sciences, KU Leuven, Leuven, Belgium
- Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium
| | - Elise K. Kalokerinos
- School of Psychology, The University of Newcastle, Callaghan, Australia
- * E-mail:
| | - Madeline Lee Pe
- European Organization for Research and Treatment of Cancer, Brussels, Belgium
| | - Peter Kuppens
- Faculty of Psychology and Educational Sciences, KU Leuven, Leuven, Belgium
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