Understanding and treating body image disturbances in eating disorders through body illusion interventions: a scoping review protocol.
Anorexia
Bodily illusions
Body image disturbance
Eating disorders
Mental health
Psychiatry
Public health
Scoping review
Journal
Systematic reviews
ISSN: 2046-4053
Titre abrégé: Syst Rev
Pays: England
ID NLM: 101580575
Informations de publication
Date de publication:
13 Feb 2024
13 Feb 2024
Historique:
received:
01
08
2022
accepted:
11
01
2024
medline:
14
2
2024
pubmed:
14
2
2024
entrez:
13
2
2024
Statut:
epublish
Résumé
We plan a scoping review aimed to synthesize what is known about the use of sensory-driven body illusion (BI) interventions for understanding and treating body image disturbance (BID) in people diagnosed with clinical eating disorders (EDs) and people with subclinical ED symptomatology. Our study will provide an outline of the current literature, identify gaps within the literature, and suggest novel directions for future research. The scoping review process will be guided by the methodological framework of Arksey and O'Malley, subsequent recommendations by Levac et al., and the Preferred Reporting Items for Systematic Reviews and Meta-analysis Protocols Extension for Scoping Reviews guidelines. The following electronic databases will be systematically searched: MEDLINE (via PubMed), Web of Science, PsycINFO, and Scopus. Furthermore, to identify additional studies, we will use a search engine such as Google Scholar, and for grey literature, we will include Proquest for Dissertations and Theses. A search strategy has been identified and agreed upon by the research team in conjunction with a research librarian. Two researchers will screen the titles and abstracts independently and then assess the full text of the selected citations for the inclusion criteria. A third reviewer will be involved in cases of disagreement. Data will be extracted, collated, and charted to summarize all the relevant methods, outcomes, and key findings in the articles. A better understanding of this topic will aid in the development and refinement of current treatments aimed at treating BID in people with EDs. Implications and recommendations for research, policy, and practice in the context of the ED community will be discussed. https://osf.io/3bcm6/?view_only=83b2e8a2445d4266909992e3dfb51929.
Sections du résumé
BACKGROUND
BACKGROUND
We plan a scoping review aimed to synthesize what is known about the use of sensory-driven body illusion (BI) interventions for understanding and treating body image disturbance (BID) in people diagnosed with clinical eating disorders (EDs) and people with subclinical ED symptomatology. Our study will provide an outline of the current literature, identify gaps within the literature, and suggest novel directions for future research.
METHODS/DESIGN
METHODS
The scoping review process will be guided by the methodological framework of Arksey and O'Malley, subsequent recommendations by Levac et al., and the Preferred Reporting Items for Systematic Reviews and Meta-analysis Protocols Extension for Scoping Reviews guidelines. The following electronic databases will be systematically searched: MEDLINE (via PubMed), Web of Science, PsycINFO, and Scopus. Furthermore, to identify additional studies, we will use a search engine such as Google Scholar, and for grey literature, we will include Proquest for Dissertations and Theses. A search strategy has been identified and agreed upon by the research team in conjunction with a research librarian. Two researchers will screen the titles and abstracts independently and then assess the full text of the selected citations for the inclusion criteria. A third reviewer will be involved in cases of disagreement. Data will be extracted, collated, and charted to summarize all the relevant methods, outcomes, and key findings in the articles.
DISCUSSION
CONCLUSIONS
A better understanding of this topic will aid in the development and refinement of current treatments aimed at treating BID in people with EDs. Implications and recommendations for research, policy, and practice in the context of the ED community will be discussed.
SYSTEMATIC REVIEW REGISTRATION
BACKGROUND
https://osf.io/3bcm6/?view_only=83b2e8a2445d4266909992e3dfb51929.
Identifiants
pubmed: 38351148
doi: 10.1186/s13643-024-02458-8
pii: 10.1186/s13643-024-02458-8
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
65Subventions
Organisme : H2020 European Research Council
ID : 101002711
Organisme : Agencia Estatal de Investigación
ID : 10.13039/501100011033
Organisme : Ministerio de Educación, Cultura y Deporte
ID : FPU20/00089
Informations de copyright
© 2024. The Author(s).
Références
Keski-Rahkonen A, Mustelin L. Epidemiology of eating disorders in Europe: prevalence, incidence, comorbidity, course, consequences, and risk factors. Curr Opin Psychiatry. 2016;29:340–5. https://doi.org/10.1097/YCO.0000000000000278 .
doi: 10.1097/YCO.0000000000000278
pubmed: 27662598
Santomauro DF, Melen S, Mitchison D, et al. The hidden burden of eating disorders: an extension of estimates from the global burden of disease study 2019. Lancet Psych. 2021;8:320–8. https://doi.org/10.1016/S2215-0366(21)00040-7 .
doi: 10.1016/S2215-0366(21)00040-7
Jenkins PE, Hoste RR, Meyer C, et al. Eating disorders and quality of life: a review of the literature. Clin Psychol Rev. 2011;31:113–21. https://doi.org/10.1016/j.cpr.2010.08.003 .
doi: 10.1016/j.cpr.2010.08.003
pubmed: 20817335
Fichter MM, Quadflieg N. Mortality in eating disorders - results of a large prospective clinical longitudinal study. Int J Eat Disord. 2016;49:391–401. https://doi.org/10.1002/eat.22501 . 10.1176/appi.books.9780890425596. American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.).
doi: 10.1002/eat.22501
pubmed: 26767344
American Psychiatric Association. Diagnostic and statistical manual of mental disorders (5th ed.). 2013. https://doi.org/10.1176/appi.books.9780890425596
Gardner RM, Brown DL. Measurement of the perceptual aspects of body image. In: Greene SB, editor. Body Image. Perceptions, interpretations and attitudes (Psycology of Emotions, Motivations and Actions). New York: Nova Science Publishers Inc.; 2011. p. 1.
Dalhoff AW, Romero Frausto H, Romer G, et al. Perceptive body image distortion in adolescent anorexia nervosa: changes after treatment. Front Psychiatry. 2019;10:1–9. https://doi.org/10.3389/fpsyt.2019.00748 .
doi: 10.3389/fpsyt.2019.00748
Cornelissen PL, Johns A, Tovée MJ. Body size over-estimation in women with anorexia nervosa is not qualitatively different from female controls. Body Image. 2013;10:103–11. https://doi.org/10.1016/j.bodyim.2012.09.003 .
doi: 10.1016/j.bodyim.2012.09.003
pubmed: 23102545
Cash TF, Li S. Body image: a Handbook of Science, Practice, and Prevention. New York: The Guilford Press; 2011.
Smeets M. Size estimation research in anorexia nervosa : a review and reconceptualization invited article. Eur Eat Disord Rev. 1997;5:75–95.
doi: 10.1002/(SICI)1099-0968(199706)5:2<75::AID-ERV190>3.0.CO;2-A
Glashouwer KA, van der Veer RML, Adipatria F, et al. The role of body image disturbance in the onset, maintenance, and relapse of anorexia nervosa: A systematic review. Clin Psychol Rev. 2019;74:101771. https://doi.org/10.1016/j.cpr.2019.101771 .
doi: 10.1016/j.cpr.2019.101771
pubmed: 31751876
Artoni P, Chierici ML, Arnone F, et al. Body perception treatment, a possible way to treat body image disturbance in eating disorders: a case–control efficacy study. Eat Weight Disord. Published Online First: 2020 https://doi.org/10.1007/s40519-020-00875-x
Cash TF, Deagle EA. The nature and extent of body-image disturbances in anorexia nervosa and bulimia nervosa: A meta-analysis. Int J Eat Disord. 1997;22:107–26. https://doi.org/10.1002/(SICI)1098-108X(199709)22:2%3c107::AID-EAT1%3e3.0.CO;2-J .
doi: 10.1002/(SICI)1098-108X(199709)22:2<107::AID-EAT1>3.0.CO;2-J
pubmed: 9261648
Gardner RM, Brown DL. Body size estimation in anorexia nervosa: a brief review of findings from 2003 through 2013. Psychiatry Res. 2014;219:407–10. https://doi.org/10.1016/j.psychres.2014.06.029 .
doi: 10.1016/j.psychres.2014.06.029
pubmed: 25023364
Farrell C, Lee M, Shafran R. Assessment of body size estimation: a review. Eur Eat Disord Rev. 2005;13:75–88. https://doi.org/10.1002/erv.622 .
doi: 10.1002/erv.622
Mölbert SC, Klein L, Thaler A, et al. Depictive and metric body size estimation in anorexia nervosa and bulimia nervosa: a systematic review and meta-analysis. Clin Psychol Rev. 2017;57:21–31. https://doi.org/10.1016/j.cpr.2017.08.005 .
doi: 10.1016/j.cpr.2017.08.005
pubmed: 28818670
Eshkevari E, Rieger E, Longo MR, et al. Persistent body image disturbance following recovery from eating disorders. Int J Eat Disord. 2014;47:400–9. https://doi.org/10.1002/eat.22219 .
doi: 10.1002/eat.22219
pubmed: 24243423
Boehm I, Finke B, Tam FI, et al. Effects of perceptual body image distortion and early weight gain on long-term outcome of adolescent anorexia nervosa. Eur Child Adolesc Psychiatry. 2016;25:1319–26. https://doi.org/10.1007/s00787-016-0854-1 .
doi: 10.1007/s00787-016-0854-1
pubmed: 27154049
Cornelissen KK, Widdrington H, McCarty K, et al. Are attitudinal and perceptual body image the same or different? Evidence from high-level adaptation. Body Image. 2019;31:35–47. https://doi.org/10.1016/j.bodyim.2019.08.001 .
doi: 10.1016/j.bodyim.2019.08.001
pubmed: 31430603
Cornelissen P, Tovée MJ. Targeting body image in eating disorders. Curr Opin Psychol. 2021;41:71–7. https://doi.org/10.1016/j.copsyc.2021.03.013 .
doi: 10.1016/j.copsyc.2021.03.013
pubmed: 33940328
Tsakiris M. My body in the brain: a neurocognitive model of body-ownership. Neuropsychologia. 2010;48:703–12. https://doi.org/10.1016/j.neuropsychologia.2009.09.034 .
doi: 10.1016/j.neuropsychologia.2009.09.034
pubmed: 19819247
Tajadura-Jiménez A, Väljamäe A, Toshima I, et al. Action sounds recalibrate perceived tactile distance. Curr Biol. 2012;22:R516–7. https://doi.org/10.1016/j.cub.2012.04.028 .
doi: 10.1016/j.cub.2012.04.028
pubmed: 22789996
Azanõn E, Tamè L, Maravita A, et al. Multimodal contributions to body representation. Multisens Res. 2016;29:635–61. https://doi.org/10.1163/22134808-00002531 .
doi: 10.1163/22134808-00002531
Kilteni K, Maselli A, Kording KP, et al. Over my fake body: body ownership illusions for studying the multisensory basis of own-body perception. Front Hum Neurosci. 2015;9:1–20. https://doi.org/10.3389/fnhum.2015.00141 .
doi: 10.3389/fnhum.2015.00141
Matamala M, et al. B Body illusions for mental health: a systematic review. PsyArXiv [preprint]. [posted 2020 10 Jul, cited 2021 Sep 10]. Available from: https://psyarxiv.com/mk69x/
Matthew, Cohen J, Botvinick M. Rubber hands ‘feel’ touch that eyes see Illusions. Nature. 1998;391:756. https://doi.org/10.1038/35784 .
doi: 10.1038/35784
Blanke O, Metzinger T. Full-body illusions and minimal phenomenal selfhood. Trends Cogn Sci. 2009;13:7–13. https://doi.org/10.1016/j.tics.2008.10.003 .
doi: 10.1016/j.tics.2008.10.003
pubmed: 19058991
Petkova VI, Ehrsson HH. If I were you: perceptual illusion of body swapping. PLoS One 2008;3. https://doi.org/10.1371/journal.pone.0003832
Tajadura-Jiménez A, Vakali M, Fairhurst MT, et al. Contingent sounds change the mental representation of one’s finger length. Sci Rep. 2017;7:1–11. https://doi.org/10.1038/s41598-017-05870-4 .
doi: 10.1038/s41598-017-05870-4
Dieguez S, Lopez C. The bodily self: insights from clinical and experimental research. Ann Phys Rehabil Med. 2017;60:198–207. https://doi.org/10.1016/j.rehab.2016.04.007 .
doi: 10.1016/j.rehab.2016.04.007
pubmed: 27318928
Serino S, Dakanalis A. Bodily illusions and weight-related disorders: clinical insights from experimental research. Ann Phys Rehabil Med. 2017;60:217–9. https://doi.org/10.1016/j.rehab.2016.10.002 .
doi: 10.1016/j.rehab.2016.10.002
pubmed: 27887907
Carey M, Preston C. Investigating the components of body image disturbance within eating disorders. Front Psychiatry. 2019;10:1–15. https://doi.org/10.3389/fpsyt.2019.00635 .
doi: 10.3389/fpsyt.2019.00635
Mussap AJ, Salton N. A ‘rubber-hand’ illusion reveals a relationship between perceptual body image and unhealthy body change. J Health Psychol. 2006;11:627–39. https://doi.org/10.1177/1359105306065022 .
doi: 10.1177/1359105306065022
pubmed: 16769741
Eshkevari E, Rieger E, Longo MR, et al. Increased plasticity of the bodily self in eating disorders. Psychol Med. 2012;42:819–28. https://doi.org/10.1017/S0033291711002091 .
doi: 10.1017/S0033291711002091
pubmed: 22017964
Keizer A, Smeets MAM, Postma A, et al. Does the experience of ownership over a rubber hand change body size perception in anorexia nervosa patients? Neuropsychologia. 2014;62:26–37. https://doi.org/10.1016/j.neuropsychologia.2014.07.003 .
doi: 10.1016/j.neuropsychologia.2014.07.003
pubmed: 25050852
Zopf R, Contini E, Fowler C, et al. Body distortions in anorexia nervosa: evidence for changed processing of multisensory bodily signals. Psychiatry Res. 2016;245:473–81. https://doi.org/10.1016/j.psychres.2016.09.003 .
doi: 10.1016/j.psychres.2016.09.003
pubmed: 27639162
Keizer A, Van Elburg A, Helms R, et al. A virtual reality full body illusion improves body image disturbance in anorexia nervosa. PLoS ONE. 2016;11:1–21. https://doi.org/10.1371/journal.pone.0163921 .
doi: 10.1371/journal.pone.0163921
Preston C, Ehrsson HH. Illusory changes in body size modulate body satisfaction in a way that is related to non-clinical eating disorder psychopathology. PLoS One 2014;9. https://doi.org/10.1371/journal.pone.0085773
Preston C, Ehrsson HH. Implicit and explicit changes in body satisfaction evoked by body size illusions: implications for eating disorder vulnerability in women. PLoS One 2018;13. https://doi.org/10.1371/journal.pone.0199426
Case LK, Wilson RC, Ramachandran VS. Diminished size-weight illusion in anorexia nervosa: evidence for visuo-proprioceptive integration deficit. Exp Brain Res. 2012;217:79–87. https://doi.org/10.1007/s00221-011-2974-7 .
doi: 10.1007/s00221-011-2974-7
pubmed: 22183754
Chirico A, Malighetti C, Serino S, et al. Towards an advancement of multisensory integration deficits in anorexia nervosa: exploring temporal discrimination processing of visuo-auditory stimuli. Annu Rev CyberTherapy Telemed. 2019;17:53–8.
Riva G, Dakanalis A. Altered processing and integration of multisensory bodily representations and signals in eating disorders: a possible path toward the understanding of their underlying causes. Front Hum Neurosci. 2018;12:1–7. https://doi.org/10.3389/fnhum.2018.00049 .
doi: 10.3389/fnhum.2018.00049
Turbyne C, Goedhart A, de Koning P, Schirmbeck F, Denys D. Systematic review and meta-analysis of virtual reality in mental healthcare: effects of full body illusions on body image disturbance. Frontiers in Virtual Reality. 2021;2:39.
doi: 10.3389/frvir.2021.657638
Arksey H, O’Malley L. Scoping studies: Towards a methodological framework. Int J Soc Res Methodol Theory Pract. 2005;8:19–32. https://doi.org/10.1080/1364557032000119616 .
doi: 10.1080/1364557032000119616
Danielle Levac, Heather Colquhoun KKO. Scoping studies: advancing the methodology. Represent Interv 2010;:1–18. https://doi.org/10.1017/cbo9780511814563.003
Colquhoun HL, Levac D, O’Brien KK, et al. Scoping reviews: time for clarity in definition, methods, and reporting. J Clin Epidemiol. 2014;67:1291–4. https://doi.org/10.1016/j.jclinepi.2014.03.013 .
doi: 10.1016/j.jclinepi.2014.03.013
pubmed: 25034198
Peters MDJ, Marnie C, Tricco AC, et al. Updated methodological guidance for the conduct of scoping reviews. JBI Evid Synth. 2020;18:2119–26. https://doi.org/10.11124/JBIES-20-00167 .
doi: 10.11124/JBIES-20-00167
pubmed: 33038124
Tricco AC, Lillie E, Zarin W, et al. PRISMA extension for scoping reviews (PRISMA-ScR): Checklist and explanation. Ann Intern Med. 2018;169:467–73. https://doi.org/10.7326/M18-0850 .
doi: 10.7326/M18-0850
pubmed: 30178033
Navas-León, et al. Understanding and treating body image disturbances in eating disorders through body illusions: a scoping review protocol. 2021. Available: https://osf.io/3bcm6/?view_only=83b2e8a2445d4266909992e3dfb51929 .
Peters M, Godfrey- smith P, Mcinerney P, et al. Guidance for the Conduct of JBI Scoping Reviews. In: Aromataris E, Munn Z, eds. Joanna Briggs institute reviewer’s manual. South Australia: Joanna Briggs Institute, 2019. https://reviewersmanual.joannabriggs.org/
Burnham JF. Scopus database: A review. Biomed Digit Libr. 2006;3:1–8. https://doi.org/10.1186/1742-5581-3-1 .
doi: 10.1186/1742-5581-3-1
pubmed: 16522216
pmcid: 1420322
Bramer WM, Rethlefsen ML, Kleijnen J, et al. Optimal database combinations for literature searches in systematic reviews: A prospective exploratory study. Syst Rev. 2017;6:1–12. https://doi.org/10.1186/s13643-017-0644-y .
doi: 10.1186/s13643-017-0644-y
American Psychological Association [Internet]. APA PsycInfo® database tops 5 million records (2013) [updated 2021; cited 2021 Dec 6]. Available from: https://www.apa.org/news/apa/2021/psycinfo-records
Pham MT, Rajić A, Greig JD, et al. A scoping review of scoping reviews: advancing the approach and enhancing the consistency. Res Synth Methods. 2014;5:371–85. https://doi.org/10.1002/jrsm.1123 .
doi: 10.1002/jrsm.1123
pubmed: 26052958
pmcid: 4491356
Ouzzani M, Hammady H, Fedorowicz Z, et al. Rayyan-a web and mobile app for systematic reviews. Syst Rev. 2016;5:1–10. https://doi.org/10.1186/s13643-016-0384-4 .
doi: 10.1186/s13643-016-0384-4
Dohoo IR, Martin W, Stryhn H. Methods in epidemiologic research. Charlottetown: VER Inc.; 2012.
Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021;372: n71. https://doi.org/10.1136/bmj.n71 .
doi: 10.1136/bmj.n71
pubmed: 33782057
pmcid: 8005924
Sterne JA, Hernán MA, Reeves BC, et al. ROBINS-I: A tool for assessing risk of bias in non-randomised studies of interventions. BMJ. 2016;355:4–10. https://doi.org/10.1136/bmj.i4919 .
doi: 10.1136/bmj.i4919
Ma LL, Wang YY, Yang ZH, et al. Methodological quality (risk of bias) assessment tools for primary and secondary medical studies: what are they and which is better? Mil Med Res. 2020;7:1–11. https://doi.org/10.1186/s40779-020-00238-8 .
doi: 10.1186/s40779-020-00238-8
van Eck NJ, Waltman L. Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics. 2010;84(2):523–38. https://doi.org/10.1007/s11192-009-0146-3 .
doi: 10.1007/s11192-009-0146-3
pubmed: 20585380