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Risk factors for eating disorders: an umbrella review of published meta-analyses

Abstract

Objective:

To grade the evidence about risk factors for eating disorders (anorexia nervosa, bulimia nervosa, and binge eating disorder) with an umbrella review approach.

Methods:

This was a systematic review of observational studies on risk factors for eating disorders published in PubMed/PsycInfo/Embase until December 11th, 2019. We recalculated random-effect meta-analyses, heterogeneity, small-study effect, excess significance bias and 95% prediction intervals, grading significant evidence (p < 0.05) from convincing to weak according to established criteria. Quality was assessed with the Assessment of Multiple Systematic Reviews 2 (AMSTAR-2) tool.

Results:

Of 2,197 meta-analyses, nine were included, providing evidence on 50 risk factors, 29,272 subjects with eating disorders, and 1,679,385 controls. Although no association was supported by convincing evidence, highly suggestive evidence supported the association between childhood sexual abuse and bulimia nervosa (k = 29, 1,103 cases with eating disorders, 8,496 controls, OR, 2.73, 95%CI 1.96-3.79, p = 2.1 x 10-9, AMSTAR-2 moderate quality) and between appearance-related teasing victimization and any eating disorder (k = 10, 1,341 cases with eating disorders, 3,295 controls, OR 2.91, 95%CI 2.05-4.12, p = 1.8x10-9, AMSTAR-2 moderate quality). Suggestive, weak, or no evidence supported 11, 29, and 8 associations, respectively.

Conclusions:

The most credible evidence indicates that early traumatic and stressful events are risk factors for eating disorders. Larger collaborative prospective cohort studies are needed to identify risk factors for eating disorders, particularly anorexia nervosa.

Eating disorders; anorexia nervosa; bulimia nervosa; binge eating disorder: umbrella review; systematic review; meta-analysis; risk factor; prevention


Introduction

Eating disorders (ED) are a complex group of psychiatric disorders characterized by psychopathology which results in pathological eating behaviors that can lead to medical complications.11. Treasure J, Duarte TA, Schmidt U. Eating disorders. Lancet. 2020;395:899-911. For example, people with anorexia nervosa (AN) are approximately five times more likely to die from any cause and eighteen times more likely to die from suicide than the general population.22. Keshaviah A, Edkins K, Hastings ER, Krishna M, Franko DL, Herzog DB, et al. Re-examining premature mortality in anorexia nervosa: a meta-analysis redux. Compr Psychiatry. 2014;55:1773-84.,33. Winkler LA. Funen anorexia nervosa study – a follow-up study on outcome, mortality, quality of life and body composition. Dan Med J. 2017;64:B5380. In addition, bulimia nervosa (BN) and binge eating disorders (BED) are associated with complications of vomiting, laxative abuse, and obesity, respectively.

ED outcomes have remained poor in recent decades, with high rates of chronicity,44. Steinhausen HC. The outcome of anorexia nervosa in the 20th century. Am J Psychiatry. 2002;159:1284-93.

5. Steinhausen HC, Weber S. The outcome of bulimia nervosa: findings from one-quarter century of research. Am J Psychiatry. 2009;166:1331-41.
-66. Steinhausen HC. Outcome of eating disorders. Child Adolesc Psychiatr Clin N Am. 2009;18:225-42. which could suggest a lack of understanding about the underlying pathophysiological mechanisms that lead to ED onset and persistence. For example, the lack of efficacious pharmacological interventions specifically for AN might be due to a relative lack of insight about the biological mechanisms underlying it.77. Kishi T, Kafantaris V, Sunday S, Sheridan EM, Correll CU. Are antipsychotics effective for the treatment of anorexia nervosa? Results from a systematic review and meta-analysis. J Clin Psychiatry. 2012;73:e757-66.

8. Frank GK, Shott ME. The role of psychotropic medications in the management of anorexia nervosa: rationale, evidence and future prospects. CNS Drugs. 2016;30:419-42.
-99. Balestrieri M, Oriani MG, Simoncini A, Bellantuono C. Psychotropic drug treatment in anorexia nervosa. search for differences in efficacy/tolerability between adolescent and mixed-age population. Eur Eat Disord Rev. 2013;21:361-73. The fact that there is no clearly superior psychosocial intervention among a wide range of interventions for adults and adolescents with AN is also particularly concerning.1010. Zeeck A, Herpertz-Dahlmann B, Friederich HC, Brockmeyer T, Resmark G, Hagenah U, et al. Psychotherapeutic treatment for anorexia nervosa: a systematic review and network meta-analysis. Front Psychiatry. 2018;9:158.

Despite the poor mechanistic knowledge of ED, an extensive body of literature has investigated putative risk factors for ED, testing a wide range of environmental1111. Stice E. Risk and maintenance factors for eating pathology: a meta-analytic review. Psychol Bull. 2002;128:825-48.

12. Chen LP, Murad MH, Paras ML, Colbenson KM, Sattler AL, Goranson EN, et al. Sexual abuse and lifetime diagnosis of psychiatric disorders: systematic review and meta-analysis. Mayo Clin Proc. 2010;85:618-29.

13. Stice E, Davis K, Miller NP, Marti CN. Fasting increases risk for onset of binge eating and bulimic pathology: a 5-year prospective study. J Abnorm Psychol. 2008;117:941-6.

14. Wildes JE, Emery RE, Simons AD. The roles of ethnicity and culture in the development of eating disturbance and body dissatisfaction: a meta-analytic review. Clin Psychol Rev. 2001;21:521-51.
-1515. Stice E, Ng J, Shaw H. Risk factors and prodromal eating pathology. J Child Psychol Psychiatry. 2010;51:518-25. and genetic1616. Collantoni E, Solmi M, Gallicchio D, Santonastaso P, Meneguzzo P, Carvalho AF, et al. Catechol-o-methyltransferase (COMT) Val158Met polymorphism and eating disorders: data from a new biobank and meta-analysis of previously published studies. Eur Eat Disord Rev. 2017;25:524-32.

17. Solmi M, Gallicchio D, Collantoni E, Correll CU, Clementi M, Pinato C, et al. Serotonin transporter gene polymorphism in eating disorders: data from a new biobank and META-analysis of previous studies. World J Biol Psychiatry. 2016;17:244-57.

18. Brewerton TD, Lesem MD, Kennedy A, Garvey WT. Reduced plasma leptin concentrations in bulimia nervosa. Psychoneuroendocrinology. 2000;25:649-58.

19. Boraska V, Franklin CS, Floyd JA, Thornton LM, Huckins LM, Southam L, et al. A genome-wide association study of anorexia nervosa. Mol Psychiatry. 2014;19:1085-94.
-2020. Hinney A, Kesselmeier M, Jall S, Volckmar AL, Föcker M, Antel J, et al. Evidence for three genetic loci involved in both anorexia nervosa risk and variation of body mass index. Mol Psychiatry. 2017;22:192-201. risk factors. However, the contrasting results of individual studies are frequently not confirmed in meta-analysis. A recent large collaborative genome-wide association study has shown that metabo-psychiatric genetic predisposition, specifically eight previously unidentified loci, might increase the risk of AN.2121. Watson HJ, Yilmaz Z, Thornton LM, Hübel C, Coleman JR, Gaspar HA, et al. Genome-wide association study identifies eight risk loci and implicates metabo-psychiatric origins for anorexia nervosa. Nat Genet. 2019;51:1207-14.

Poor knowledge of the mechanistic processes that lead to ED and risk factors for ED might be one of the reasons why early ED intervention and prevention has been studied less than psychotic and other non-psychotic disorders.2222. Richards K, Austin A, Allen K, Schmidt U. Early intervention services for non-psychotic mental health disorders: a scoping review protocol. BMJ Open. 2019;9:e033656.,2323. Kotlicka-Antczak M, Podgórski M, Oliver D, Maric NP, Valmaggia L, Fusar-Poli P. Worldwide implementation of clinical services for the prevention of psychosis: the IEPA early intervention in mental health survey. Early Interv Psychiatry. 2020 Feb 17. doi: http://dx.doi.org/10.1111/eip.12950. Online ahead of print.
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Despite preliminary evidence suggesting the potential efficacy of ED prevention, more evidence synthesis is needed,2424. Stice E, Becker CB, Yokum S. Eating disorder prevention: current evidence-base and future directions. Int J Eat Disord. 2013;46:478-85.,2525. Le LK, Barendregt JJ, Hay P, Mihalopoulos C. Prevention of eating disorders: a systematic review and meta-analysis. Clin Psychol Rev. 2017;53:46-58. since the state of the art for evidence on interventions to prevent or delay ED onset seems to be relatively less explored than in other fields of psychiatry.2626. Bulik CM. Are we really paddling as fast as we can? Reflections on why eating disorders treatment and research always seem to be one step behind: commentary on Hay, Mitchell, and Stice & Becker: prevention and treatment. Int J Eat Disord. 2013;46:489-91.,2727. Deady M, Choi I, Calvo RA, Glozier N, Christensen H, Harvey SB. eHealth interventions for the prevention of depression and anxiety in the general population: a systematic review and meta-analysis. BMC Psychiatry. 2017;17:310. Although the prevention of mental disorders, particularly psychosis, is being explored, it has only been partially implemented worldwide. The results so far have shown that the pre-assessment of risk should be improved to find subjects actually at risk of developing mental disorders.2828. Fusar-Poli P, Schultze-Lutter F, Cappucciati M, Rutigliano G, Bonoldi I, Stahl D, et al. The dark side of the moon: meta-analytical impact of recruitment strategies on risk enrichment in the clinical high risk state for psychosis. Schizophr Bull. 2016;42:732-43.

29. Fusar-Poli P, Rutigliano G, Stahl D, Schmidt A, Ramella-Cravaro V, Hitesh S, et al. Deconstructing pretest risk enrichment to optimize prediction of psychosis in individuals at clinical high risk. JAMA Psychiatry. 2016;73:1260-7.

30. Fusar-Poli P, Sullivan SA, Shah JL, Uhlhaas PJ. Improving the detection of individuals at clinical risk for psychosis in the community, primary and secondary care: an integrated evidence-based approach. Front Psychiatry. 2019;10:774.

31. Fusar-Poli P, Palombini E, Davies C, Oliver D, Bonoldi I, Ramella-Cravaro V, et al. Why transition risk to psychosis is not declining at the OASIS ultra high risk service: the hidden role of stable pretest risk enrichment. Schizophr Res. 2018;192:385-90.
-3232. 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. 2019 Dec 26. doi: http://dx.doi.org/10.1111/eip.12908. Online ahead of print.
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Since preventive interventions are not free from potential side effects, they must be performed only for individuals with an epidemiologically and clinically significant risk of any mental illness.3333. Fusar-Poli P, de Pablo GS, De Micheli A, Nieman DH, Correll CU, Kessing LV, et al. What is good mental health? A scoping review. Eur Neuropsychopharmacol. 2019;31:33-46. Putative risk factors, whose associations have been inflated by biased results, must be replaced with convincing ones, as is being done for several other mental disorders, including schizophrenia,3434. Radua J, Ramella-Cravaro V, Ioannidis JP, Reichenberg A, Phiphopthatsanee N, Amir T, et al. What causes psychosis? An umbrella review of risk and protective factors. World Psychiatry. 2018;17:49-66.,3535. Belbasis L, Köhler CA, Stefanis N, Stubbs B, van Os J, Vieta E, et al. Risk factors and peripheral biomarkers for schizophrenia spectrum disorders: an umbrella review of meta-analyses. Acta Psychiatr Scand. 2018;137:88-97. autism,3636. Kim JY, Son MJ, Son CY, Radua J, Eisenhut M, Gressier F, et al. Environmental risk factors and biomarkers for autism spectrum disorder: an umbrella review of the evidence. Lancet Psychiatry. 2019;6:590-600.,3737. Dragioti E, Solmi M, Favaro A, Fusar-Poli P, Dazzan P, Thompson T, et al. Association of antidepressant use with adverse health outcomes: a systematic umbrella review. JAMA Psychiatry. 2019;76:1241-55. depression,3838. Köhler CA, Evangelou E, Stubbs B, Solmi M, Veronese N, Belbasis L, et al. Mapping risk factors for depression across the lifespan: an umbrella review of evidence from meta-analyses and Mendelian randomization studies. J Psychiatr Res. 2018;103:189-207. bipolar disorder,3939. Bortolato B, Köhler CA, Evangelou E, León-Caballero J, Solmi M, Stubbs B, et al. Systematic assessment of environmental risk factors for bipolar disorder: an umbrella review of systematic reviews and meta-analyses. Bipolar Disord. 2017;19:84-96. post-traumatic stress disorder,4040. Tortella-Feliu M, Fullana MA, Pérez-Vigil A, Torres X, Chamorro J, Littarelli SA, et al. Risk factors for posttraumatic stress disorder: an umbrella review of systematic reviews and meta-analyses. Neurosci Biobehav Rev. 2019;107:154-65. anxiety spectrum disorder and obsessive compulsive disorder.4141. Fullana MA, Tortella-Feliu M, de la Cruz LF, Chamorro J, Pérez-Vigil A, Ioannidis JP, et al. Risk and protective factors for anxiety and obsessive-compulsive disorders: an umbrella review of systematic reviews and meta-analyses. Psychol Med. 2020;50:1300-15. This a necessary step for finding individuals who might be at risk of ED and could thus benefit from preventive interventions.

Therefore, the aim of the present umbrella review, which graded evidence through a systematic review of meta-analyses, identified quantitative criteria based on additional statistical tests, and re-calculated each meta-analytic association, was to grade the available evidence on risk factors for ED, identifying those that should be targeted in ED prevention and considered when assessing a person with subthreshold symptoms.

Methods

A protocol for this study is publicly available on the Center for Open Science platform (https://osf.io/hu8yd/?view_only=269352b4b1e040bcb825f48b567032a4). We performed a systematic review, considering the Preferred Reporting Items for Systematic Reviews and Meta-analyses4242. Moher D, Liberati A, Tetzlaff J, Douglas G Altman; PRISMA Group. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med. 2009;6:e1000097. and the Meta-analysis of Observational Studies in Epidemiology guidelines.4343. Stroup DF, Berlin JA, Morton SC, Olkin I, Williamson GD, Rennie D, et al. Meta-analysis of observational studies in epidemiology: a proposal for reporting. Meta-analysis of observational studies in epidemiology (MOOSE) group. JAMA. 2000;283:2008-12.

Search strategy and selection criteria

We searched the PubMed, PsycInfo and Embase databases (final search on December 11th, 2019) to identify systematic reviews with meta-analyses pooling longitudinal observational studies that examined any association between putative risk factors for ED, defined according to clinical records, any version of the DSM or ICD, or validated scales with cut-off points. The following keywords were used in PubMed (meta-analysis OR meta-analysis OR systematic review) AND (anorexia nervosa OR binge* OR bulimi* OR eating disorder*), and equivalent ones were used in PsycInfo and Embase. Two reviewers (DM, DB) independently searched the titles/abstracts for eligibility and assessed the full text of articles that passed this phase. A third reviewer (MS) resolved any conflicts. When more than one meta-analysis assessed the same risk factor, we only included the one with the most studies, as previously described.3434. Radua J, Ramella-Cravaro V, Ioannidis JP, Reichenberg A, Phiphopthatsanee N, Amir T, et al. What causes psychosis? An umbrella review of risk and protective factors. World Psychiatry. 2018;17:49-66.,3838. Köhler CA, Evangelou E, Stubbs B, Solmi M, Veronese N, Belbasis L, et al. Mapping risk factors for depression across the lifespan: an umbrella review of evidence from meta-analyses and Mendelian randomization studies. J Psychiatr Res. 2018;103:189-207.,3939. Bortolato B, Köhler CA, Evangelou E, León-Caballero J, Solmi M, Stubbs B, et al. Systematic assessment of environmental risk factors for bipolar disorder: an umbrella review of systematic reviews and meta-analyses. Bipolar Disord. 2017;19:84-96.,4444. Solmi M, Köhler CA, Stubbs B, Koyanagi A, Bortolato B, Monaco F, et al. Environmental risk factors and nonpharmacological and nonsurgical interventions for obesity: an umbrella review of meta-analyses of cohort studies and randomized controlled trials. Eur J Clin Invest. 2018;48:e12982.,4545. Fusar-Poli P, Radua J. Ten simple rules for conducting umbrella reviews. Evid Based Ment Health. 2018;21:95-100. The exclusion criteria were: 1) meta-analyses of randomized controlled trials; 2) those published in languages other than English; 3) those that included cross-sectional studies from which no causal inference could be made; 4) systematic reviews without meta-analyses.

The same two investigators who independently performed the screening extracted the data in a predefined Excel spreadsheet. For each meta-analysis, we extracted the PMID/DOI, first author, publication year, population, risk factor, study design, ED type (AN, BN, BED, or mixed), number of included studies and total sample size to identify the largest meta-analysis. For each primary study in the largest meta-analyses, we recorded data on the first author, year of publication, study design, number of cases (subjects who developed ED), subjects who did not develop ED, effect size with 95% confidence intervals (95%CI), ED definition criteria, and study location. The methodological quality of each included meta-analysis was assessed with the Assessment of Multiple Systematic Reviews (AMSTAR) 2 tool (a recent update of AMSTAR,4646. Shea BJ, Reeves BC, Wells G, Thuku M, Hamel C, Moran J, et al. AMSTAR 2: a critical appraisal tool for systematic reviews that include randomised or non-randomised studies of healthcare interventions, or both. BMJ. 2017;358:j4008. available at https://amstar.ca/Amstar-2.php) by the same two investigators.

Data analysis

For each association in each meta-analysis, we re-performed a random-effect meta-analysis that calculated the pooled effect size and the 95% confidence intervals.4747. DerSimonian R, Laird N. Meta-analysis in clinical trials. Control Clin Trials. 1986;7:177-88. Heterogeneity was assessed with the I2 statistic.4848. Higgins JP, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ. 2003;327:557-60. We calculated the 95% prediction intervals for the summary random effect sizes, which provide the possible range in which the effect sizes of future studies are expected to fall.4949. Riley RD, Higgins JP, Deeks JJ. Interpretation of random effects meta-analyses. BMJ. 2011;342:d549. We also tested for the presence of small-study effect bias,3838. Köhler CA, Evangelou E, Stubbs B, Solmi M, Veronese N, Belbasis L, et al. Mapping risk factors for depression across the lifespan: an umbrella review of evidence from meta-analyses and Mendelian randomization studies. J Psychiatr Res. 2018;103:189-207.,3939. Bortolato B, Köhler CA, Evangelou E, León-Caballero J, Solmi M, Stubbs B, et al. Systematic assessment of environmental risk factors for bipolar disorder: an umbrella review of systematic reviews and meta-analyses. Bipolar Disord. 2017;19:84-96.,4444. Solmi M, Köhler CA, Stubbs B, Koyanagi A, Bortolato B, Monaco F, et al. Environmental risk factors and nonpharmacological and nonsurgical interventions for obesity: an umbrella review of meta-analyses of cohort studies and randomized controlled trials. Eur J Clin Invest. 2018;48:e12982.,5050. Veronese N, Solmi M, Caruso MG, Giannelli G, Osella AR, Evangelou E, et al. Dietary fiber and health outcomes: an umbrella review of systematic reviews and meta-analyses. Am J Clin Nutr. 2018;107:436-44. which was deemed to be present in cases of pooled estimates larger than the largest individual study, as well as publication bias (Egger’s regression asymmetry test [p ≤ 0.10]). Finally, we assessed excess significance bias by evaluating whether the observed number of studies with nominally statistically significant results (p ≤ 0.05) were different from the expected number of studies with statistically significant results (significance threshold set at p ≤ 0.10).5151. Ioannidis JP, Trikalinos TA. An exploratory test for an excess of significant findings. Clin Trials. 2007;4:245-53.,5252. Ioannidis JPA. Clarifications on the application and interpretation of the test for excess significance and its extensions. J Math Psychol. 2013;57:184-7.

Grading the evidence

The credibility of the meta-analyses was assessed according to stringent criteria based on previously published umbrella reviews.3838. Köhler CA, Evangelou E, Stubbs B, Solmi M, Veronese N, Belbasis L, et al. Mapping risk factors for depression across the lifespan: an umbrella review of evidence from meta-analyses and Mendelian randomization studies. J Psychiatr Res. 2018;103:189-207.,3939. Bortolato B, Köhler CA, Evangelou E, León-Caballero J, Solmi M, Stubbs B, et al. Systematic assessment of environmental risk factors for bipolar disorder: an umbrella review of systematic reviews and meta-analyses. Bipolar Disord. 2017;19:84-96.,4444. Solmi M, Köhler CA, Stubbs B, Koyanagi A, Bortolato B, Monaco F, et al. Environmental risk factors and nonpharmacological and nonsurgical interventions for obesity: an umbrella review of meta-analyses of cohort studies and randomized controlled trials. Eur J Clin Invest. 2018;48:e12982.,5050. Veronese N, Solmi M, Caruso MG, Giannelli G, Osella AR, Evangelou E, et al. Dietary fiber and health outcomes: an umbrella review of systematic reviews and meta-analyses. Am J Clin Nutr. 2018;107:436-44.,5353. Li X, Meng X, Timofeeva M, Tzoulaki I, Tsilidis KK, Ioannidis JP, et al. Serum uric acid levels and multiple health outcomes: umbrella review of evidence from observational studies, randomised controlled trials, and Mendelian randomisation studies. BMJ. 2017;357:j2376. In brief, associations that presented nominally significant random-effects summary effect sizes (i.e., p < 0.05) were ranked as convincing, highly suggestive, suggestive, or weak evidence based on the number of events, the strength of the association, and the presence of several biases (criteria presented in Box 1). The quality of included meta-analyses was assessed with the AMSTAR-2 tool.

Box 1
Credibility assessment criteria for meta-analyses of observational studies

Results

Search

A flowchart of the search, selection and inclusion process is presented in Figure 1. Out of 2,197 articles screened at the title/abstract level, we assessed the full text of 45 publications. Of these, 36 were excluded for including only cross-sectional studies (n=26), not conducting a meta-analysis of risk factors for ED (n=4), not being the largest meta-analysis (n=3), not focusing on ED as defined according to the inclusion criteria of the present umbrella review (n=2), or performing a pooled, rather than a meta-analysis (n=1). A reference list of the 36 excluded articles is provided in Table S1, available as online-only supplementary material. Nine meta-analyses were ultimately included, providing evidence on 49 risk factors from a total of 29,272 individuals with ED and 1,679,385 controls.

Figure 1
Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) flowchart.

Grading the evidence

The evidence grade for ED risk factors is reported in Table 1. Nine meta-analyses1111. Stice E. Risk and maintenance factors for eating pathology: a meta-analytic review. Psychol Bull. 2002;128:825-48.,1212. Chen LP, Murad MH, Paras ML, Colbenson KM, Sattler AL, Goranson EN, et al. Sexual abuse and lifetime diagnosis of psychiatric disorders: systematic review and meta-analysis. Mayo Clin Proc. 2010;85:618-29.,5454. Caslini M, Bartoli F, Crocamo C, Dakanalis A, Clerici M, Carrà G. Disentangling the association between child abuse and eating disorders: a systematic review and meta-analysis. Psychosom Med. 2016;78:79-90.

55. Krug I, Taborelli E, Sallis H, Treasure J, Micali N. A systematic review of obstetric complications as risk factors for eating disorder and a meta-analysis of delivery method and prematurity. Physiol Behav. 2013;109:51-62.

56. Nazar BP, Bernardes C, Peachey G, Sergeant J, Mattos P, Treasure J. The risk of eating disorders comorbid with attention-deficit/hyperactivity disorder: a systematic review and meta-analysis. Int J Eat Disord. 2016;49:1045-57.

57. Lie SØ, Rø Ø, Bang L. Is bullying and teasing associated with eating disorders? A systematic review and meta‐analysis. Int J Eat Disord. 2019;52:497-514.

58. Molendijk ML, Hoek HW, Brewerton TD, Elzinga BM. Childhood maltreatment and eating disorder pathology: a systematic review and dose-response meta-analysis. Psychol Med. 2017;47:1402-16.

59. Young V, Eiser C, Johnson B, Brierley S, Epton T, Elliott J, et al. Eating problems in adolescents with type 1 diabetes: a systematic review with meta-analysis. Diabet Med. 2013;30:189-98.
-6060. Zhang T, Sidorchuk A, Sevilla-Cermeño L, Vilaplana-Pérez A, Chang Z, Larsson H, et al. Association of cesarean delivery with risk of neurodevelopmental and psychiatric disorders in the offspring: a systematic review and meta-analysis. JAMA Netw Open. 2019;2:e1910236. investigated a wide range of risk factors for ED. Early menarche was investigated in one meta-analysis, peripartum events were investigated in four (APGAR score, C-section, vaginal instrumental delivery, and gestational age lower than 37 weeks), pre-existing medical or psychiatric conditions were investigated in seven (attention deficit and hyperactivity disorder, substance use, type I diabetes), initial psychological features and BMI at baseline assessment in longitudinal studies were investigated in nine, and the remaining investigated risk factors were lifetime or childhood traumatic events or physical, emotional, sexual abuse.

Table 1
Evidence grading for meta-analyses of observational studies on risk factors for ED

Overall, no association was supported by convincing evidence. Highly suggestive evidence supported the association between childhood sexual abuse and BN (k = 29, 1,103 ED cases, 8,496 controls, OR, 2.73, 95%CI 1.96-3.79, p = 2.1 x 10-9, AMSTAR-2 moderate quality)5454. Caslini M, Bartoli F, Crocamo C, Dakanalis A, Clerici M, Carrà G. Disentangling the association between child abuse and eating disorders: a systematic review and meta-analysis. Psychosom Med. 2016;78:79-90. and between appearance-related teasing victimization and any ED (k = 10, 1,341 ED cases, 3,295 controls, OR 2.91, 95%CI 2.05-4.12, p = 1.8 x 10-9, AMSTAR-2 moderate quality).5757. Lie SØ, Rø Ø, Bang L. Is bullying and teasing associated with eating disorders? A systematic review and meta‐analysis. Int J Eat Disord. 2019;52:497-514. Suggestive, weak, or no evidence was provided for 10, 29, and 8 risk factor, respectively. More specifically, the 12 meta-analyses that investigated risk factors for AN had the lowest evidence among all ED (one provided suggestive evidence, seven provided weak evidence, and four provided no evidence). Ten meta-analyses investigated risk factors for BED (three provided suggestive evidence and seven provided weak evidence). Ten meta-analyses investigated BN (one provided highly suggestive evidence, one provided suggestive evidence, and eight provided weak evidence). The remaining 17 meta-analyses investigated risk factors for any ED (one provided highly suggestive evidence, five provided suggestive evidence, seven provided weak evidence, and four provided no evidence). The median number of studies per meta-analysis was 32 (interquartile range [IQR] 17-82). The median number of ED cases per risk factor was 514 (IQR 196-1,103), and the median total population was 3,147 (IQR 993-8,478).

Detailed sources of bias are reported in Table 2 for all significant associations. Overall, the following bias pattern emerged: associations based on evidence from at least 1,000 subjects with ED (18%), 95% prediction intervals excluding the null value (18%), small study effect absent (72%), excess significance bias absent (60%), low overall heterogeneity of associations (8% with significant heterogeneity), significance of the largest study (68%), and publication bias (70%). The quality of included meta-analyses was high for one,6060. Zhang T, Sidorchuk A, Sevilla-Cermeño L, Vilaplana-Pérez A, Chang Z, Larsson H, et al. Association of cesarean delivery with risk of neurodevelopmental and psychiatric disorders in the offspring: a systematic review and meta-analysis. JAMA Netw Open. 2019;2:e1910236. critically low for one,5959. Young V, Eiser C, Johnson B, Brierley S, Epton T, Elliott J, et al. Eating problems in adolescents with type 1 diabetes: a systematic review with meta-analysis. Diabet Med. 2013;30:189-98. and moderate for the reaming seven.

Table 2
Grading criteria for highly suggestive, suggestive, and weak evidence of risk factors for eating disorders

Discussion

This is the first comprehensive umbrella review of meta-analyses on risk factors for ED, which goes beyond mere pooling of available meta-analyses by including additional stringent statistical tests and evidence grading based on quantitative criteria. This review included 50 associations from nine meta-analyses, showing a lack of convincing evidence supporting all ED risk factors. Highly suggestive evidence was found for childhood sexual abuse as risk factor for BN and appearance-related teasing victimization for any ED.

These results can advance clinical knowledge in the field of ED on various points. First, none of the putative risk factors for ED are supported by convincing evidence, and several types of bias may have inflated the estimates reported in meta-analyses. This is particularly concerning when we compare the evidence of risk factors for ED with the evidence of risk factors for schizophrenia3434. Radua J, Ramella-Cravaro V, Ioannidis JP, Reichenberg A, Phiphopthatsanee N, Amir T, et al. What causes psychosis? An umbrella review of risk and protective factors. World Psychiatry. 2018;17:49-66.,3535. Belbasis L, Köhler CA, Stefanis N, Stubbs B, van Os J, Vieta E, et al. Risk factors and peripheral biomarkers for schizophrenia spectrum disorders: an umbrella review of meta-analyses. Acta Psychiatr Scand. 2018;137:88-97. (seven factors overall supported by convincing evidence), autism3636. Kim JY, Son MJ, Son CY, Radua J, Eisenhut M, Gressier F, et al. Environmental risk factors and biomarkers for autism spectrum disorder: an umbrella review of the evidence. Lancet Psychiatry. 2019;6:590-600.,3737. Dragioti E, Solmi M, Favaro A, Fusar-Poli P, Dazzan P, Thompson T, et al. Association of antidepressant use with adverse health outcomes: a systematic umbrella review. JAMA Psychiatry. 2019;76:1241-55. (seven factors), depression3838. Köhler CA, Evangelou E, Stubbs B, Solmi M, Veronese N, Belbasis L, et al. Mapping risk factors for depression across the lifespan: an umbrella review of evidence from meta-analyses and Mendelian randomization studies. J Psychiatr Res. 2018;103:189-207. (eight factors), bipolar disorder3939. Bortolato B, Köhler CA, Evangelou E, León-Caballero J, Solmi M, Stubbs B, et al. Systematic assessment of environmental risk factors for bipolar disorder: an umbrella review of systematic reviews and meta-analyses. Bipolar Disord. 2017;19:84-96. (one factor), post-traumatic stress disorder4040. Tortella-Feliu M, Fullana MA, Pérez-Vigil A, Torres X, Chamorro J, Littarelli SA, et al. Risk factors for posttraumatic stress disorder: an umbrella review of systematic reviews and meta-analyses. Neurosci Biobehav Rev. 2019;107:154-65. (three factors), and anxiety spectrum disorder and obsessive compulsive disorder4141. Fullana MA, Tortella-Feliu M, de la Cruz LF, Chamorro J, Pérez-Vigil A, Ioannidis JP, et al. Risk and protective factors for anxiety and obsessive-compulsive disorders: an umbrella review of systematic reviews and meta-analyses. Psychol Med. 2020;50:1300-15. (one). Environmental factors play an important role in the pathogenesis of mental disorders, while genetic predisposition still explains only a very small portion of the risk of schizophrenia, depressive disorders, bipolar disorders.6161. Mistry S, Harrison JR, Smith DJ, Escott-Price V, Zammit S. The use of polygenic risk scores to identify phenotypes associated with genetic risk of bipolar disorder and depression: a systematic review. J Affect Disord. 2018;234:148-55. The lack of established risk factors for ED may be due to limited research in this field or to the heterogeneity of the clinical pictures, which have common characteristics and frequent overlap with other mental disorders. There are common general psychopathologic features in ED (e.g., depressive, anxious, obsessive-compulsive), as well as feelings of ineffectiveness and interpersonal sensitivity, which appear to be even more central than behavioral and specific psychopathologies.6262. Solmi M, Collantoni E, Meneguzzo P, Degortes D, Tenconi E, Favaro A. Network analysis of specific psychopathology and psychiatric symptoms in patients with eating disorders. Int J Eat Disord. 2018;51:680-92. This could reduce the specificity of risk factors.

Second, while a number of mental disorders have specific risk factors, such as high clinical risk for psychosis,3434. Radua J, Ramella-Cravaro V, Ioannidis JP, Reichenberg A, Phiphopthatsanee N, Amir T, et al. What causes psychosis? An umbrella review of risk and protective factors. World Psychiatry. 2018;17:49-66. or irritable bowel syndrome for bipolar disorder,3939. Bortolato B, Köhler CA, Evangelou E, León-Caballero J, Solmi M, Stubbs B, et al. Systematic assessment of environmental risk factors for bipolar disorder: an umbrella review of systematic reviews and meta-analyses. Bipolar Disord. 2017;19:84-96. the risk factors for ED found in the present review appear to be relatively unspecific. For example, childhood sexual abuse has been connected with a number of adverse health outcomes, including borderline personality disorder, anxiety, depression, post-traumatic stress disorder, psychosis, and non-suicidal self-injury, in addition to pain, risky sexual behavior, obesity, and HIV infection.6363. Hailes HP, Yu R, Danese A, Fazel S. Long-term outcomes of childhood sexual abuse: an umbrella review. Lancet Psychiatry. 2019;6:830-9. This is not surprising, given that child abuse is a risk factor for general psychopathology6464. Teicher MH, Samson JA. Childhood maltreatment and psychopathology: a case for ecophenotypic variants as clinically and neurobiologically distinct subtypes. Am J Psychiatry. 2013;170:1114-33. and that the effect of sexual abuse on ED psychopathology is probably mediated by ineffectiveness, which is present beyond ED.6565. Monteleone AM, Cascino G, Pellegrino F, Ruzzi V, Patriciello G, Marone L, et al. The association between childhood maltreatment and eating disorder psychopathology: a mixed-model investigation. Eur Psychiatry. 2019;61:111-8. The transdiagnostic nature of these risk factors is relatively underexplored but could, at least theoretically, allow transdiagnostic early detection and intervention for these disorders.6666. Fusar-Poli P, Solmi M, Brondino N, Davies C, Chae C, Politi P, et al. Transdiagnostic psychiatry: a systematic review. World Psychiatry. 2019;18:192-207.,6767. Fusar-Poli P. TRANSD recommendations: improving transdiagnostic research in psychiatry. World Psychiatry. 2019;18:361-2. To the best of our knowledge, only one pooled analysis of follow-up data from three randomized controlled trials on ED prevention has focused on a high-risk population with body dissatisfaction, finding that negative affect and low BMI predicted AN, elevated body dissatisfaction, overeating, and fasting predicted BN, and elevated body dissatisfaction, overeating, and functional impairment predicted BED.6868. Stice E, Gau JM, Rohde P, Shaw H. Risk factors that predict future onset of each DSM-5 eating disorder: predictive specificity in high-risk adolescent females. J Abnorm Psychol. 2017;126:38-51. However, such findings have not yet been replicated in larger cohort studies and have not been pooled in meta-analyses accounting for random error and heterogeneity across studies. Moreover, one more reason for the lack of evidence about risk factors for ED might be explained by a recent large GWAS study, which included 16,992 cases of anorexia nervosa and 55,525 controls, finding that eight loci linked to other psychiatric disorders, physical activity, and metabolic (including glycemic), lipid and anthropometric traits (independent of the effects of common variants associated with body-mass index) were associated with a higher risk of AN.2121. Watson HJ, Yilmaz Z, Thornton LM, Hübel C, Coleman JR, Gaspar HA, et al. Genome-wide association study identifies eight risk loci and implicates metabo-psychiatric origins for anorexia nervosa. Nat Genet. 2019;51:1207-14. Such results might suggest that some genetic risk is shared with other psychiatric conditions, but that there are also specific metabolic pathways for AN that should be investigated in greater detail. However, an overlap between mental and physical disorders is also present in other mental disorders.6969. Amare AT, Schubert KO, Klingler-Hoffmann M, Cohen-Woods S, Baune BT. The genetic overlap between mood disorders and cardiometabolic diseases: a systematic review of genome wide and candidate gene studies. Transl Psychiatry. 2017;7:e1007.

Third, we found that the least evidence is available for AN, which is, on the other hand, the most severe ED in terms of clinical outcome, medical complications, and survival. Fourth, the lack of clear evidence supporting the identification of ED risk factors, especially for AN, is highly relevant in the light of the need for early ED detection as a crucial component in improving ED treatment efficacy. Some authors7070. Treasure J, Stein D, Maguire S. Has the time come for a staging model to map the course of eating disorders from high risk to severe enduring illness? An examination of the evidence. Early Interv Psychiatry. 2015;9:173-84. have proposed a staging model for AN that shows poorer outcomes with illness progression. In line with this framework, the NICE (2010) ED guidelines recommend that treatment should begin at the earliest opportunity to avoid the additional effects of chronicity, psychiatric comorbidity, and complications from malnutrition.7171. National Institute for Health and Care Excellence (NICE). Eating disorders: recognition and treatment [Intetnet]. 2017 May 23 [cited 2019 Dec]. www.nice.org.uk/guidance/ng69
www.nice.org.uk/guidance/ng69...
Promoting mental health, a complementary strategy for preventing mental disorders, is particularly needed in young populations, such as those at risk of developing ED.7272. Fusar-Poli P, Bauer M, Borgwardt S, Bechdolf A, Correll CU, Do KQ, et al. European college of neuropsychopharmacology network on the prevention of mental disorders and mental health promotion (ECNP PMD-MHP). Eur Neuropsychopharmacol. 2019;29:1301-11.

Appearance-related teasing victimization was identified as a risk factor for any ED, with highly suggestive, but not convincing, evidence. This confirms that interpersonal and social functioning might be a risk factor for ED, which was suggested in a systematic review7373. Monteleone AM, Treasure J, Kan C, Cardi V. Reactivity to interpersonal stress in patients with eating disorders: a systematic review and meta-analysis of studies using an experimental paradigm. Neurosci Biobehav Rev. 2018;87:133-50. that highlighted the role of interpersonal issues as a factor in ED onset. In addition, this finding confirms that emotional abuse in childhood and adolescence, which consists of humiliating and demeaning experiences, is the form of abuse most directly associated with ED psychopathology, independent of other psychiatric comorbidities.7474. Guillaume S, Jaussent I, Maimoun L, Ryst A, Seneque M, Villain L, et al. Associations between adverse childhood experiences and clinical characteristics of eating disorders. Sci Rep. 2016;6:35761.

The strength of the present study is that it is the first umbrella review to demonstrate that no convincing evidence supports any ED risk factor. Moreover, it provides methodological direction for future studies, i.e., a focus on high quality evidence about ED risk factors, such as large-scale collaborative studies, harmonizing measurements, and data sharing to bridge the gap with prevention strategies implemented in other areas of psychiatry. Finally, the focus of collaborative studies should be on metabolic pathways, which were associated with AN in a large recent GWAS study. Thus, leading centers involved clinical research on ED should plan large multicenter longitudinal cohort studies investigating the role of putative risk factors for ED, focusing on metabolic pathways, which have been completely neglected to date.

The main limitation of the present study is that only one of the included meta-analyses met high quality criteria according to the AMSTAR-2 checklist. Furthermore, the lack of evidence for specific risk factors could be related to the paucity of large-scale collaborative longitudinal studies assessing the role of moderating mechanisms in the relationship between conditions preceding the onset of the disorder and the development of ED psychopathology.7575. Jansen A. Eating disorders need more experimental psychopathology. Behav Res Ther. 2016;86:2-10. Finally, factors not included in meta-analyses are not considered in umbrella reviews.

In conclusion, no ED risk factor is supported by convincing evidence. The field of ED is being left behind with respect to the preliminary evidence necessary to begin implementing targeted preventive interventions for individuals with subthreshold symptoms. More multi-center longitudinal cohort studies are needed to identify modifiable risk factors for ED, including the metabolic factors suggested by a recent large-scale GWAS study.2121. Watson HJ, Yilmaz Z, Thornton LM, Hübel C, Coleman JR, Gaspar HA, et al. Genome-wide association study identifies eight risk loci and implicates metabo-psychiatric origins for anorexia nervosa. Nat Genet. 2019;51:1207-14.

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Publication Dates

  • Publication in this collection
    28 Sept 2020
  • Date of issue
    May-Jun 2021

History

  • Received
    4 May 2020
  • Accepted
    12 June 2020
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