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Titles versus titles and abstracts for initial screening of articles for systematic reviews.
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PMID:  23526335     Owner:  NLM     Status:  PubMed-not-MEDLINE    
Abstract/OtherAbstract:
BACKGROUND: There is no consensus on whether screening titles alone or titles and abstracts together is the preferable strategy for inclusion of articles in a systematic review.
METHODS: TWO METHODS OF SCREENING ARTICLES FOR INCLUSION IN A SYSTEMATIC REVIEW WERE COMPARED: titles first versus titles and abstracts simultaneously. Each citation found in MEDLINE or Embase was reviewed by two physician reviewers for prespecified criteria: the citation included (1) primary data; (2) the exposure of interest; and (3) the outcome of interest.
RESULTS: There were 2965 unique citations. The titles first strategy resulted in an immediate rejection of 2558 (86%) of the records after reading the title alone, requiring review of 239 titles and abstracts, and subsequently 176 full text articles. The simultaneous titles and abstracts review led to rejection of 2782 citations (94%) and review of 183 full text articles. Interreviewer agreement to include an article for full text review using the titles-first screening strategy was 89%-94% (kappa = 0.54) and 96%-97% (kappa = 0.56) for titles and abstracts combined. The final systematic review included 13 articles, all of which were identified by both screening strategies (yield 100%, burden 114%). Precision was higher in the titles and abstracts method (7.1% versus 3.2%) but recall was the same (100% versus 100%), leading to a higher F-measure for the titles and abstracts approach (0.1327 versus 0.0619).
CONCLUSION: Screening via a titles-first approach may be more efficient than screening titles and abstracts together.
Authors:
Farrah J Mateen; Jiwon Oh; Ana I Tergas; Neil H Bhayani; Biren B Kamdar
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Publication Detail:
Type:  Journal Article     Date:  2013-03-15
Journal Detail:
Title:  Clinical epidemiology     Volume:  5     ISSN:  1179-1349     ISO Abbreviation:  Clin Epidemiol     Publication Date:  2013  
Date Detail:
Created Date:  2013-03-25     Completed Date:  2013-03-26     Revised Date:  2014-04-16    
Medline Journal Info:
Nlm Unique ID:  101531700     Medline TA:  Clin Epidemiol     Country:  New Zealand    
Other Details:
Languages:  eng     Pagination:  89-95     Citation Subset:  -    
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Journal ID (nlm-ta): Clin Epidemiol
Journal ID (iso-abbrev): Clin Epidemiol
Journal ID (publisher-id): Clinical Epidemiology
ISSN: 1179-1349
Publisher: Dove Medical Press
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© 2014 Mitchison and Hay. This work is published by Dove Medical Press Limited, and licensed under Creative Commons Attribution – Non Commercial (unported, v3.0) License
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collection publication date: Year: 2014
Electronic publication date: Day: 17 Month: 2 Year: 2014
Volume: 6First Page: 89 Last Page: 97
PubMed Id: 23526335
ID: 3933432
DOI: 10.2147/CLEP.S40841
Publisher Id: clep-6-089

The epidemiology of eating disorders: genetic, environmental, and societal factors
Deborah Mitchison1
Phillipa J Hay23
1School of Medicine, University of Western Sydney, Sydney, NSW, Australia
2Centre for Health Research, School of Medicine, University of Western Sydney, Sydney, NSW, Australia
3School of Medicine, James Cook University, Townsville City, QLD, Australia
Correspondence: Correspondence: Phillipa J Hay, University of Western Sydney, Locked Bag 1797, Penrith, NSW 2751, Australia, Tel +61 2 4620 3838, Fax +61 2 4620 3891, Email p.hay@uws.edu.au

Background

The eating disorders (EDs), including anorexia nervosa (AN), bulimia nervosa (BN), binge eating disorder (BED), and other specified and unspecified EDs (previously known as ED not otherwise specified or EDNOS) constitute a group of disorders involving disturbed body image coupled with eating and/or weight loss behaviors1 that cause severe distress and impairment to quality of life.2 The burden of these disorders on the community and health care system is also high. A German study, for example, has found that in the year 1998, the cost of lost productivity in AN due to an inability to work was €130.5 million, while inpatient treatment costs alone were €62.9 million.3 The current figures, especially those taking into account outpatient care across the EDs are expected to be much higher; however, an updated study is yet to be conducted to verify this.

The ED field lags behind other psychiatric fields (eg, mood,4 anxiety,5 and psychotic6 disorders) in the progress of epidemiological research. Reasons for this may include the fact that ED research is smaller and newer, and compared with disorders considered more “mainstream,” EDs have been excluded from some large national surveys.7 Further, the relatively low prevalence of EDs (particularly AN) requires the recruitment and diagnostic assessment of particularly large population samples, a complex and costly task.

In a review published in 2006, Hoek8 found prevalence estimates were about 0.3% for AN and 1.0% for BN in young females, but that this ranged considerably between studies. The reasons for variation in the estimates is likely multifactorial and probably includes factors such as the year of assessment, the population group being sampled, the assessment methodology used (from structured interview to self-report), and the diagnostic classification system and version that is imposed (eg, the Diagnostic and Statistical Manual for Mental Disorders [DSM]1 or the International Classification of Diseases [ICD]9).

The majority of studies that assess correlates of EDs are based on clinical samples. However, people with EDs who receive treatment are a select group with particular characteristics. Indeed, we know that the vast majority of people in the community with EDs do not seek or receive treatment,1013 and particularly underrepresented groups may include males, and those who are older, poorer, or more remote-dwelling.14 Thus, while clinical studies may be representative of a treatment-receiving population, they are likely not representative of the wider ED population. A problem that may arise from this is that any factors found to be significantly correlated with EDs in clinical studies may be artificially so, especially if the impact of characteristics particular to a treatment-receiving group – such as being younger, female, or more motivated – are not carefully partialed out.

The number of published population and community-based studies is gradually increasing in the ED field, and these are adding to an evidence-base that will help us to more accurately characterize EDs in future. For instance, this evidence-base has already aided our shifting away from the long-held perception that EDs are the domain of the wealthy, White, young female toward the notion that disordered eating and body image disturbance are experienced by males and females15,16 of all ages17 and ethnicities18,19 and who live in both developed and developing countries.20,21 Nonclinical studies have also been published that examine the genetic and environmental influences on EDs. A summary of what these studies have found thus far is overdue and would provide a representative and generalizable account of factors that are related to EDs in the community – an endeavor, as far as we are aware, has not been previously attempted.

Aims

The aim of the current review was thus to identify and appraise the published literature regarding the sociodemographic, environmental, and genetic correlates of ED prevalence and/or incidence in the community. Other correlates (eg, psychological, functional impairment, and comorbidities) were considered outside the scope of the current paper. Beyond providing a review of the progress of epidemiological research in the ED field, this review also aimed to highlight current gaps in knowledge and to provide directions for further research.


Methods

The methodology used was based on the PRISMA Statement.22

Inclusion and exclusion criteria

The set of inclusion and exclusion criteria developed for the current review is summarized in Table 1. We were specifically interested in articles that reported on the epidemiology of diagnostic entities (ie, not specific features or broad “disordered eating” or “body image disturbance”); however, we included findings related to subclinical syndromes (eg, subclinical DSM-IV AN, which excludes the amenorrhea criterion, which may now meet DSM-5 criteria for AN or atypical AN) and also studies with varying methodology used to classify diagnoses. For instance, studies that used earlier versions of the DSM and ICD were permitted, as well as studies that used self-report of EDs. Articles based on university samples were excluded (except where the university setting was particular to the correlate under investigation), as such samples were not considered sociodemographically representative of the broader community, particularly in terms of age, socioeconomic status, and educational achievement. Further, the prevalence of disordered eating may be higher in university compared with community samples.23 For similar reasons, articles were also excluded if they included sampling from only one school or from private schools only.

Literature search strategy

We searched Scopus (SciVerse, Elsevier) using the keyword search function and entering the following algorithm: [“anorexia nervosa” OR “bulimia nervosa” OR “binge eating disorder” OR “eating disorder”] AND [“community” OR “population” OR “epidemiology” OR “epidemiological” OR “prevalence” OR “incidence” OR “risk”]. Scopus includes articles dated as far back as 1966, and we included all articles to June 2013 in our search. Titles and abstracts were systematically reviewed against the a priori criteria (see Table 1), and those that did not meet eligibility were excluded. Further review of the remaining articles involved full-text inspection, which further reduced the number of articles to be included in the review. Reasons for exclusion were recorded throughout the process. See Figure 1 for a flowchart of the article selection and culling process.

Data extraction

All data were extracted by one author (DM). The second author, PH, acted as consultant where decisions on inclusion and exclusion were unclear on first review. Data were entered into an Excel® (Microsoft Corporation, Redmond, WA, USA) spreadsheet, from which summary tables were derived. Data extracted included sample size, study wave, response rate, population, year of data collection, diagnostic strategy, country, age range (or where range not available, measures of central tendency), sex ratio, design (cross-sectional or longitudinal), prevalence and/or incidence data, correlates investigated, and findings. This data is summarized in the Supplementary materials.

Assessment of risk of bias used in this review

We anticipated or preempted that varying methods of diagnostic assessment used across studies could present a risk of bias in this review. To assess the extent of this risk, we established a hierarchy that included six levels (1= most rigorous; 6= least rigorous) to cover the methods used by the studies:

Level 1

Level 1 included studies using a structured clinical interview designed to assess either EDs specifically (eg, the Eating Disorder Examination24) or a range of psychiatric disorders including EDs (eg, the Structured Clinical Interview for DSM-IV Axis I Disorders25) based on criteria set out in either the DSM or ICD classification schemes.

Level 2

Level 2 included studies using an unstructured clinical interview conducted by an expert, with the aim to establish the presence of an ED diagnosis according to DSM or ICD criteria.

Level 3

Level 3 included studies using a standardized questionnaire specifically designed to assess ED diagnosis according to DSM or ICD criteria (eg, the Survey for Eating Disorders26).

Level 4

Level 4 included studies using an unstandardized questionnaire, designed by the authors of the study (or another study) to detect ED diagnoses according to DSM or ICD criteria, usually not empirically tested.

Level 5

Level 5 included studies using a standardized questionnaire designed to assess ED psychopathology but not ED diagnosis, according to established criteria (eg, the Eating Disorder Examination Questionnaire27).

Level 6

Level 6 included studies using the self-report (or self-identification) of an ED either through a questionnaire or during an interview.

Data summarizing strategy

Studies included in this review either ran a number of separate analyses to assess the association between a correlate and the epidemiology of different ED diagnoses (eg, AN, BN, and BED separately), or conducted one analysis with all ED diagnoses grouped together. Thus, studies could include both null and significant effects related to the one correlate, if for instance the correlate was associated with one diagnosis (eg, BED) but not with another (eg, BN). To deal with this, we tallied the findings according to the number of analyses conducted rather than the number of studies finding a specific result. Studies also sometimes reported both a null effect and a significant effect for an association between a correlate and the epidemiology of a particular ED, if for instance an association was found with the point prevalence of the ED, but not the lifetime prevalence. In this instance, we documented both an effect and a null effect for the correlate. Owing to the large number of articles identified that assessed sociodemographic and environmental correlates of EDs, Tables 2 and 3 provide a briefer summary of the findings, and do not separate findings according to specific ED diagnoses. Diagnostic level findings are available at the study-level in the Supplementary materials. An across-studies summary of diagnostic findings is also available from the authors upon request.


Results
Articles included and excluded

We identified 149 articles that met eligibility for the current review. Eighty-six of these reported on sociodemographic correlates, 57 on environmental correlates, and 13 on genetic correlates of ED epidemiology. Seven of the 149 articles reported on both sociodemographic and environmental correlates; thus, the sum of the number of articles reporting each type of correlate (86+57+13=156) exceeds the total N of eligible articles. Of the 1,730 full-text articles systematically reviewed for eligibility, 1,581 were excluded. The most common reasons for exclusion were: reporting on ED features rather than clinical or subclinical diagnostic entities (n=682), and being based on clinical (n=291) or university (n=147) samples.

The publication dates for included articles ranged from 1985 to 2013. Based on the articles that reported the following information: recruitment dates for study samples ranged from 1975 to 2008; sample sizes ranged from n=45 to n=48,378; and the average proportion of female participants was 79%. Participants were recruited from 30 different countries: Australia, Belgium, Brazil, Canada, the People’s Republic of China, Colombia, Denmark, England, Estonia, Finland, France, Germany, Greece, Hungary, Iran, Israel, Italy, Jordan, Kenya, Mexico, New Zealand, the Netherlands, Northern Ireland, Norway, Portugal, Romania, Sweden, Turkey, the United Kingdom, and the United States. ED diagnoses assessed across the studies included AN, BN, BED, EDNOS, subclinical AN, subclinical BN, subclinical BED, and night eating syndrome. A range of methods were used for diagnostic assessment. Most often a formal structured clinical interview was used; however, unstructured clinical interview, diagnostic questionnaires, and self-report (rarely) were also used. Owing to the range in years of participant recruitment, the version of the classification schemes imposed also ranged from the DSM-III to the DSM-IV-TR. For full details on the sample size, response rate, study design, diagnostic assessment, sex ratio, age range, and nationality of the 149 articles, please refer to the supplementary Tables provided.

Risk of bias findings

The level 1 method (structured clinical interview) was used by 55% of the studies; 14% used the level 2 method (unstructured clinical interview); 15% level 3 (standardized diagnostic questionnaire); 8% level 4 (unstandardized diagnostic questionnaire); 2% level 5 (non-diagnostic questionnaire); and 6% of studies used the level 6 method (self-report).

Summary of sociodemographic findings

See Table 2 for a summary of the findings from the 86 studies that reported on sociodemographic correlates of ED epidemiology. The most commonly studied correlates were age, sex, ethnicity, education level, socioeconomic status, urbanicity, and marital status. As can be seen, many null effects were observed; however, this may be expected due to studies that conducted multiple analyses for each ED diagnosis. Overall, EDs appear to be clearly associated with being female and younger overall. On a specific diagnostic level, however, this relationship was not so robust for BED, with most age-related effects being null. Less clear was an association between ED epidemiology and ethnicity, education, socioeconomic status, urbanicity, or marital status. The vast majority of ethnicity analyses were null, and of those analyses that found an effect, one ethnicity did not tend to dominate in its association with EDs. On a diagnostic level, however, BN tended to have a higher prevalence amongst minority ethnicities. An equal number of analyses found a significant association between lower and higher education level with ED epidemiology. Most analyses reported a null effect of socioeconomic status; however, of the six effects found, four were for an association with lower socioeconomic status. In terms of the impact of urbanicity and marital status, the majority of effects were null.

Other sociodemographic correlates were less commonly studied and included parental variables (eg, parental marital status, parental education, and parental occupation), family composition variables (eg, number of siblings and birth order), timing of menarche or oigarche, sexual orientation, bullying, and migration status. Table 2 documents the effects found for these correlates; however, due to the small number of analyses conducted, there is less certainty of their association with ED epidemiology.

Summary of the environmental findings

Table 3 summarizes the findings from the 57 articles reporting on environmental correlates of ED epidemiology. Again, the number of null effects was high. The most frequently studied correlates pertained to the sporting environment and a history of sexual or physical abuse. The prevalence of EDs appeared to be higher in participants who engaged in particular types of sports, such as esthetic (eg, dancing and gymnastics) and leanness or weight-related (eg, wrestling) sports. Having ever been a victim of physical or sexual abuse was also associated with higher ED prevalence (particularly BN), however less so was child sexual abuse per se, which had been assessed by a greater number of studies but returning mostly null effects. Modeling also appeared associated with a higher prevalence of both AN and subclinical AN but not other EDs. A number of significant life events were assessed as correlates of ED epidemiology. Having experienced significant stress in general (ie, reporting major stressors, higher pressure, or provoking agents) was associated with greater ED prevalence. Other events were less often studied; however, preliminary evidence may suggest an effect of disruptive events such as moving house and change in the family structure.

Summary of the genetic findings

Table 4 summarizes the findings from the 13 articles that reported on genetic correlates of ED epidemiology. Three of these studies reported on the relationship of specific genes that are relevant to reward neurobiology and cerebral dopamine pathways or relevant to mood and other psychological features and cerebral serotonergic activity and to EDs. In one study, the short allele of the gene-linked polymorphic region of the serotonin transporter gene (5-HTTLPR) was found to be associated with bulimic EDs such as BN and BED but not with AN or EDNOS. The other two studies focused specifically on AN and BED, and found that the dopamine receptor D4 gene (DRD4) was associated with the binge/purge (but not the restrictive) subtype of AN, and the dopamine receptor D2 gene (DRD2) was associated with BED. Relationships were complex, however, and in the latter study of Davis et al28 were contrary to hypothesis in that the DRD4 marker that is associated with reduced dopaminergic activity appeared to moderate greater reward sensitivity in participants with BED and obesity. The former study also found an association with the DRD4 gene and perfectionism in participants with and without a history of AN.

Six studies calculated heritability or genetic contribution estimates of AN, BN, and BED. Estimates ranged from: 22% to 76% for AN and broad AN (including participants who were missing one of the DSM-IV criteria); 52% to 62% for BN and broad BN; and 57% (N= 1 study) for BED. Finally, one study assessed lifetime psychiatric morbidity in the relatives of participants with BED and found that most psychiatric disorders were significantly more prevalent in the relatives of BED participants compared with the relatives of controls.


Discussion

This review has summarized the findings from a large number of community-based studies published over the past three decades related to sociodemographic, environmental, and genetic correlates of ED epidemiology. Consistent with current thinking,1 we found fairly robust associations between ED prevalence and the female sex, younger age cohort, and a history of abuse, confirming what has been well established, and is also reflected in our treatment-seeking samples. An exception to this was BED, which did not appear as clearly associated with younger women; however, this supports a previous review of BED epidemiology, which found that in comparison to other EDs, BED is more common in older women and in men.29

On the other hand, we found little evidence of an association between EDs and ethnicity, socioeconomic status, education, or urbanicity. This flies against the stereotype of EDs as being a condition peculiar to wealthy, White, well educated women who live in major cities.30 Rather, of the effects that were found for socioeconomic status, the trend leaned toward those who were less wealthy. Further, far from White ethnicity being predominant in the epidemiology of EDs, of the 16 analyses that found an effect of ethnicity, ten implied that EDs were more common in minority groups, particularly BN.

This review provides a summary of correlates and not causal factors related to ED epidemiology. Thus, while factors highlighted in this review may be significantly related to EDs, we cannot be certain of the direction of this relationship. For instance, modeling and participation in esthetic sports (eg, dancing) were associated with a higher prevalence of EDs (particularly AN); but we do not know how much of the variation in this relationship is defined by characteristics of the modeling and dancing environments versus characteristics of the individual that influences both their likelihood to pursue such activities and their vulnerability to EDs. Likely, the answer is a reciprocal relationship whereby individual characteristics (such as perfectionism) interact with environmental pressures to result in the development of ED symptomatology (such as strict dieting and purging behavior).

In the same vein, the distinction made between sociodemographic and environmental correlates in this review was largely arbitrary, and was done with the aim to facilitate the reading of this paper. In reality, such distinctions are usually artificial, and considerable overlap and interactions exist between these categories and also with genetic influences. For example, in considering effects of ethnicity, one must assume that environmental influences such as cultural practices also make a contribution. Based on the assumption that sociodemographic, environmental, and genetic factors interact to influence ED development,31 we have not attempted to compare the relative influences of these factors as distinct entities on ED epidemiology. Suffice it to say that according to the heritability studies in this review, genetics may account for 50%–60% of the variability in EDs, leaving the remaining variability to be influenced by factors in the environment. Genetic influences are also being found to be associated with personality traits and risk factors for EDs, such as perfectionism, and may be important moderators of clinical features of the ED.

A strength, but also potentially a limitation, of this review was undoubtedly its large scope, which resulted in 149 articles to summarize. In future, it may be useful to conduct separate reviews for EDs (ie, for AN or BED), as correlates are expected to differ to some extent along diagnostic lines. It may have been a limitation to include articles over such a large time period (1985–2013), due to the change in diagnostic classification systems over time, which has seen slight changes to the criteria for AN and BN, and the introduction of BED. However, while this undoubtedly influenced the prevalence estimates of EDs over time, it is less likely to have impacted on specific correlates. A preempted risk of bias for this review was variability in diagnostic assessment methods used across studies. However, when we assessed this risk, we found that 84% of the studies used either a structured/unstructured clinical interview or a standardized questionnaire designed to assess ED diagnosis; and 92% used methods designed to align with the established diagnostic criteria within the DSM or ICD for EDs. Methods such as self-report or self-identification were rare. A further limitation was that data were extracted by one author only, and the search did not include “gray” literature. Finally, the generalizability of this review to males may be limited by the fact that many studies included female participants only, and on average, females constituted 79% of the study samples. It is hoped that with the growing recognition of male EDs, this will become less of a limitation in future reviews.

In summary, this review found that a number of factors influence ED epidemiology, most notably genetics, female sex, younger age, participation in esthetic/leanness sports, and having been a victim of sexual or physical abuse. Importantly, we also found a number of factors unlikely to influence variability in ED epidemiology, for instance ethnicity, educational attainment, socioeconomic status, urbanicity, and participating in general sports. Other factors that may be potentially related to EDs are in need of further exploration in community-based studies, for example bullying, sexual orientation, and other specific disruptive life events. While genetic research is slowly gaining traction in the ED field, it is advisable that these studies move beyond clinical samples in order to increase the applicability of findings to the broader ED population.


Notes

Disclosure

The authors report no conflicts of interest in this work.

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Article Categories:
  • Review

Keywords: Keywords demographic, environment, abuse, prevalence, socioeconomic status, heritability.

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