- Research article
- Open Access
- Open Peer Review
This article has Open Peer Review reports available.
Validation of the Finnish version of the SCOFF questionnaire among young adults aged 20 to 35 years
© Lähteenmäki et al; licensee BioMed Central Ltd. 2009
Received: 24 June 2008
Accepted: 08 February 2009
Published: 08 February 2009
We tested the validity of the SCOFF, a five-question screening instrument for eating disorders, in a general population sample.
A random sample of 1863 Finnish young adults was approached with a questionnaire that contained several screens for mental health interview, including the SCOFF. The questionnaire was returned by 1316 persons. All screen positives and a random sample of screen negatives were invited to SCID interview. Altogether 541 subjects participated in the SCID interview and had filled in the SCOFF questionnaire. We investigated the validity of the SCOFF in detecting current eating disorders by calculating sensitivity, specificity, and positive and negative predictive values (PPV and NPV) for different cut-off scores. We also performed a ROC analysis based on these 541 persons, of whom nine had current eating disorder.
The threshold of two positive answers presented the best ability to detect eating disorders, with a sensitivity of 77.8%, a specificity of 87.6%, a PPV of 9.7%, and a NPV of 99.6%. None of the subjects with current eating disorder scored zero points in the SCOFF.
Due to its low PPV, there are limitations in using the SCOFF as a screening instrument in unselected population samples. However, it might be used for ruling out the possibility of eating disorders.
Eating disorders (ED) are a group of psychiatric disorders characterized by disordered eating habits and excessive focus on one's weight. They are most common in young females, among whom they present an important cause of physical and psychosocial morbidity. It has been estimated that 0.3–2.2% of young Western females suffer from anorexia nervosa [1–4] and 1–2% from bulimia nervosa [1, 2, 4]. Mortality from anorexia nervosa is as high as 5.0% . Early detection and treatment improve the prognosis of eating disorders [6, 7].
Previous articles concerning the validity of the SCOFF:
Number of cases
Sensitivity (Threshold ≥2)
The SCOFF questionnaire: assessment of a new screening tool for EDs
Morgan, J 1999
Cases: Women confirmed as having anorexia or bulimia nervosa
Controls: University students confirmed as not having an ED
SCOFF vs. clinical diagnosis based on DSM-IV* criteria
The SCOFF questionnaire and clinical interview for EDs in general practice: comparative study
Luck, A 2002
Women attending two general practices in London
SCOFF vs. clinical diagnosis based on DSM-IV criteria
Validation of SCOFF questionnaire among pre-teenagers
Caamaño, F 2002
One class of pre-teenagers selected randomly from 10 Spanish schools
SCOFF vs. EAT**
Four simple questions can help screen for EDs
Cotton, M-A 2003
College students and patients from primary care clinics in London
SCOFF and ESP*** vs. Q-EDD**** (based on DSM-IV criteria)
Application of the SCOFF, EAT and TFEQ questionnaires in women seeking diet-therapy
Siervo, M 2005
Women seeking diet-therapy at the outpatient dietetic clinic in Naples
Remark: Only patients with BED, bulimic EDNOS or normal eating behaviour were selected in the study.
SCOFF, EAT and TFEQ***** vs. clinical diagnosis based on DSM-IV criteria
Eating Disorders in Graduate Students: Exploring the SCOFF as a simple screening tool
Parker, S 2005
Graduate students attending the university student health clinic
SCOFF vs. EDE-Q ******
Validation of the SCOFF questionnaire for screening the eating behaviour disorders of adolescents in school
Rueda, G 2005
Randomly selected students from three schools in Colombia
SCOFF vs. CIDI******* (based on DSM-IV criteria)
Validation of the SCOFF for screening of EDs in university women
Rueda, G 2005
University students in Colombia
SCOFF vs. CIDI (based on DSM-IV criteria)
Validation of the Spanish version of the SCOFF questionnaire for the screening of EDs in primary care
Garcia-Campayo, J 2005
Patient with probable eating disorder diagnosis from six primary health care centers in Spain.
SCOFF vs. SCAN******** (based on DSM-IV criteria)
Screening for EDs in primary care: EDE-Q versus SCOFF
Mond, J 2008
Women aged 18–40 years attending two primary care practices in smaller urban regions of the USA
SCOFF and EDE-Q vs. telephone interview including diagnostic items of the EDE*********
A general population study setting is appropriate for investigating whether a screen is suitable for detecting cases when there is no selection based on symptoms in the study population. In this study, we tested the validity of the SCOFF in screening current eating disorders in Finnish young adults. To our knowledge, this is the first study reporting the validity of the SCOFF in a population-based sample of young adults.
The Mental Health in Early Adulthood in Finland (MEAF) study (described also by Castaneda et al.  and Suvisaari et al) is based on the Health 2000 Study [17–19], a nationally representative two-stage cluster sample of 1894 persons aged 18–29 years (the young adult sample) and 8028 persons aged 30 years and over (the adult sample) from 80 municipalities or groups of municipalities with joint primary care in Finland, including the 15 biggest towns. The Health 2000 sampling was done by Statistics Finland, and the sample size was determined so that it allowed investigation of the prevalences of most health problems by sex and age groups . The baseline assessment of the young adult sample was conducted in 2001, and consisted of an interview and a questionnaire.
MEAF was a follow-up study of the Health 2000 young adult study sample. While the Health 2000 study covered all aspects of health, MEAF focused on mental health. A two-phase study design was used in the MEAF study. 2–4 years after the original study, a questionnaire was mailed to all members of the young adult sample excluding those who had died or refused further contacts. It included several scales assessing mental health and substance use. Persons reporting symptoms above a defined threshold in any screening scale were asked to participate in the mental health interview. These screens were: the General Health Questionnaire (GHQ-12) , the K10 , the CAGE , the CIDI section on psychotic symptoms [23, 24], the Mood Disorder Questionnaire (MDQ) , the SCOFF , treatment contact for mental health problems, and history of suicide attempt. The SCOFF was used to screen current eating disorders, with a cut-off point of two or more positive answers. The SCOFF scale was translated into Finnish by the research team, and back-translated by an experienced medical language editor who is a native English speaker.
In addition, all Health 2000 young adults who had had hospital treatment because of any mental disorder (ICD-10 section F, ICD-8 and ICD-9 290–319) according to the Finnish Hospital Discharge Register information were asked to participate in the interview, along with a random subsample of Health 2000 young adults who were screen negative. Altogether, the screening questionnaire was sent to 1863 persons and returned by 1316 (70.6%). We invited 982 persons to the mental health assessment, and 546 (55.5%) completed the study protocol . Of these 982 persons approached, 821 were screen positive in at least one of the mental health screens, and 161 were screen negative. The participants were not informed whether they were selected because of having psychological symptoms or whether they were screen negative controls.
The ethics committees of the National Public Health Institute and the Hospital District of Helsinki and Uusimaa approved the Health 2000 survey and the MEAF reassessment. Participants provided written informed consent according to the Declaration of Helsinki [17, 18].
Mental health assessment
The mental health assessment included structured questions on sociodemographic variables and treatment received for mental health and substance use disorders, a semi-structured psychiatric interview (SCID-I, research version) for diagnosing current (1-month) and lifetime mental disorders , neuropsychological assessment, and collection of blood sample for genetic analysis. The face-to-face interview was conducted by experienced research nurses and psychologists and all interviews were reviewed by a clinical supervisor. Participants who had had treatment contacts for mental health problems were asked for a permission to assess case notes from such contacts. Final diagnostic assessments according to DSM-IV-TR criteria were made by experienced clinicians (Jaana Suvisaari, Samuli Saarni, Jonna Perälä, and Terhi Aalto-Setälä) based on the interview and case note data.
In this validation study, the study sample comprised 541 subjects who had been interviewed and who had also filled in the SCOFF questionnaire. The eating disorders assessed were anorexia nervosa (AN), bulimia nervosa (BN), and eating disorder not otherwise specified (EDNOS). The EDNOS diagnosis was used for clinically significant disorders of eating that did not meet the criteria for anorexia or bulimia nervosa. Clinical significance was assessed by the interviewer together with a psychiatrist and confirmed in final diagnostic assessment using both interview and case note data. Examples included cases that met all except one criteria for anorexia or bulimia nervosa, and cases with binge eating disorder. The SCID-I interview produced both current and lifetime diagnoses of these disorders. We investigated the validity of SCOFF in detecting any current (present within the past month) eating disorder.
The SCOFF screen
The SCOFF questionnaire contains five questions concerning eating habits and attitudes toward one's weight and body shape.
The acronym SCOFF is created from the questions: 1. Do you make yourself Sick because you feel uncomfortably full? 2. Do you worry you have lost Control over how much you eat? 3. Have you recently lost more than One stone (6 kg in the Finnish version) in a 3 month period? 4. Do you believe yourself to be Fat when others say you are too thin? 5. Would you say that Food dominates your life? A threshold of 2 positive answers has been proposed to raise a suspicion of an existing eating disorder [6, 27].
Of the subjects who had filled in the SCOFF questionnaire (n = 1303), 541 (312 women) participated in the mental health interview. Of them, 72 (13.3%) had scored at least two points and had thus been selected for the interview based on their SCOFF answers. There were 54 SCOFF screen positives (7.1%) among those who had not participated in the interview. There was no significant difference in the mean SCOFF score between those who had been interviewed and those who had been invited to the interview but refused to participate (0.48 vs. 0.58, t = 1.59, p = 0.11). When analyzing the SCOFF questions at the item level, the only significant difference between those who participated versus those who did not participate in the interview related to the item involving appearance: those who believed they were fat although others said they were too thin were less likely to participate. The frequency of this symptom among participants was 9.1% versus 13.4% in nonparticipants (χ2 = 4.28, d.f. = 1, p = 0.039).
Sensitivity is the proportion of persons with diagnosis who are detected positive by the test. Specificity is the proportion of persons without diagnosis who are detected negative by the test. Positive predictive value refers to the proportion of positive test results that are true positive, and negative predictive value refers to the proportion of negative test results that are true negatives. The Receiver Operating Characteristics (ROC) curve is a plot of the balance between sensitivity and specificity for a diagnostic test . The closer the curve follows the left-hand border and then the top border of the ROC space, the more accurate the test, whereas the closer the curve comes to the 45-degree diagonal of the ROC space, the less accurate the test. The area under the curve is a measure of test accuracy.
The validity of the SCOFF was assessed by calculating the sensitivity, specificity, and positive and negative predictive values for screening cut-off points ≥1, ≥2, ≥3 and ≥4 positive answers. The calculations were carried out with Statistical Analysis Systems (SAS, Version 9.1) . The ROC analysis was conducted using a web-based calculator designed by John Eng .
Current eating disorders
The validity of the SCOFF in detecting current eating disorders (men and women combined)
Threshold (number of positive answers)
% (95% Cl)
% (95% Cl)
Pos. Predictive value
% (95% Cl)
Neg. Predictive value
% (95% Cl)
The validity of the SCOFF in detecting current eating disorders (women only)
Threshold (number of positive answers)
% (95% Cl)
% (95% Cl)
Pos. Predictive value
% (95% Cl)
Neg. Predictive value
% (95% Cl)
SCOFF was designed to be a simple, memorable screening instrument for primary care, intended to raise suspicion that an eating disorder might exist before rigorous clinical assessment . This is the first study in which the SCOFF is being evaluated in young adults from the general population. We found fairly similar sensitivity and specificity for the recommended SCOFF cut-off point as in previous studies conducted in primary care [27, 31–33] or among students [31, 32, 34–36]. However, the same cut-off produced unacceptably low positive predictive (PPV) value for screening eating disorders from the general population. On the other hand, none of the subjects with current eating disorder scored zero point in the SCOFF, and thus SCOFF might be useful for ruling out eating disorder.
Our results concerning the sensitivity and specificity of the SCOFF when using two or more positive answers as the cut-off point were quite consistent with previous studies made with similar research frame [34–36] or with samples representing primary care patients [27, 31–33]. However, PPVs were considerably better in these studies than in our study. The PPV is important especially when identifying relatively rare disorders such as eating disorders, because their detection can be ineffective among general population even with instruments with relatively high specificity and sensitivity . The problem of low PPV has also been discussed previously by Mond and colleagues .
The SCOFF seems to work considerably better among risk population than among general population. The studies testing the SCOFF among patients with probable eating disorder diagnosis versus healthy controls [6, 7, 38] report almost exclusively excellent validity figures. It might be that these excellent figures are at least partly due to the research frame; the subjects are in easily recognizable advanced stages of the disease while the controls consist of healthy people only. This leads to a marked difference between these two groups and can therefore give overoptimistic results . Even people attending general practice already differ from the general population because they present some symptoms and seek treatment for some problem. People with eating disorders consult general practitioners more frequently than healthy young adults even prior to the diagnosis  and thus there might be an over-representation of eating disorders in these study samples. In unselected population samples of young adults eating disorder prevalences are rather low; in our sample the prevalence estimates for lifetime anorexia nervosa and bulimia nervosa among women were 2.14% and 2.25%, respectively , which are comparable with previous estimates in studies with similar research frame .
It also might be that the SCOFF works best among adolescents. This would explain the greater PPV of the study made by Caamaño et al , in which the sample consisted of 11–13-year-olds.
Other screens for eating disorders in general (Stirling Eating Disorder Scales (SEDS), BEDT, Eating Disorder Diagnostic Scale (EDDS)) have shown PPVs comparable to our results, but population-based knowledge of these instruments is limited [41–44]. Mond et al reported relatively high PPV (30%) for Eating Disorder Examination Questionnaire (EDE-Q) in a population-based study of adult women . Many screens are limited to a specific disorder like Eating Attitudes Test (EAT-40 and EAT-26) to anorexia nervosa and The Bulimic Investigatory Test (BITE) and (BULIT) to bulimia nervosa. Compared to SCOFF most of the screens mentioned above are longer and more difficult to interpret and have shown relatively low positive predictive values . Our results are in line with Jacobi et al. suggesting that further research is needed to identify target populations for SCOFF . The negative predictive value of the SCOFF has been excellent in this and previous studies, suggesting that it could be used to rule out eating disorder, while persons with at least some symptoms of disordered eating should be assessed in more detail.
There are some limitations in our study. As discussed earlier, eating disorders are rare in the general population. In our study sample, we identified ten persons with current disorder from 546 interviewed persons, and twenty with lifetime eating disorder who were currently in remission. Because of the small number of cases with current eating disorder in our general population sample, the confidence intervals of our estimates were relatively wide. This could have only been avoided by increasing the sample size considerably. The SCID interview also has its limitations. It is widely used for diagnosing psychiatric disorders, but the denial of the disease and non-disclosure by patients, common in eating disorders, may complicate identification of the disorders even in the SCID interview. On the other hand, we were able to utilize case notes and health care register data in our diagnostic assessment, making them exceptionally reliable for a general population study.
Altogether, the screening questionnaire was sent to 1863 persons and returned by 1316 (70.6%). This might have affected the generalizability of our results, if eating disorders were more common in non-responders. Our previous study showed that those who returned the MEAF questionnaire were younger, more often women, had more often graduated high school, and had less often than non-responders been treated for any mental health problem in a mental or general hospital according to the Finnish Hospital Discharge Register . There were no other socioeconomic differences, nor differences in the frequency of psychiatric symptoms reported in the baseline interview . However, although persons with hospital-treated disorders were less likely to return the questionnaire than others, we had access to their case notes and could ascertain their diagnoses. There was only one person with a lifetime history of eating disorder in this group, suggesting that the questionnaire non-response did not introduce any major bias in the study.
There was attrition in the MEAF interview as well: only 55.5% of those invited participated in the interview. However, attrition in the MEAF interview depended on age, sex, and education, but none of the scores in any of the screens we used for the mental health interview differed between interview participants and non-participants . However, the item in SCOFF describing attitude related to appearance differed between questionnaire responders and non-responders. The difference was too small (9.1% vs. 13.4%) to introduce any major bias, but it may suggest that young people with a negative attitude toward their appearance are less likely to participate in a survey.
Even though the SCOFF did not prove to be an efficient tool in screening eating disorders from the general population, it could be a valid tool in ruling one out. When utilizing the threshold of one or more positive answers, all the eating disorder cases were detected giving us a sensitivity of 100%. This leads to conclusion that if a person has zero positive answers in the SCOFF questionnaire, it is very unlikely that she/he suffers from an eating disorder. The SCOFF could be a helpful tool in ruling out eating disorders in primary care and student health services.
Detecting eating disorders among the general population has its own challenges. In such a population, the SCOFF could be used at most as an aid in ruling eating disorders out. Further studies are still needed to establish the performance and ideal target population of the SCOFF.
We thank Marjut Schreck for excellent data management, Merja Blom, Margit Keinänen-Guillaume, Helena Kurru, Maija Lingren, M. Psych., Taina Laajasalo, Ph.D., Marko Manninen, M. Psych., Tuula Mononen and Sebastian Therman, M. Psych. for the skilfully conducted interviews, and Tuula Koski, Kirsi Niinistö and Satu Viertiö, M.Sc., for administrative work. We also thank Jukka Hintikka, M.D., Ph.D., for the contribution to the interview process, Seppo Koskinen, M.D., Ph.D. and Arpo Aromaa, M.D., Ph.D. and all the other collaborators in the Health 2000 study group. This study was supported by grants from the Academy of Finland (JMS), the Yrjö Jahnsson Foundation (JMS, TA-S, and JP) and the Jalmari and Rauha Ahokas Foundation (TA-S).
The National Public Health Institute (KTL) and the National Research and Development Centre for Welfare and Health (STAKES) join forces to form the National Institute for Health and Welfare. Contact details as from 1 January 2009: National Institute for Health and Welfare (THL), http://www.thl.fi.
- Hoek HW: Incidence, prevalence and mortality of anorexia nervosa and other eating disorders. Curr Opin Psychiatry. 2006, 19 (4): 389-394. 10.1097/01.yco.0000228759.95237.78.View ArticlePubMedGoogle Scholar
- Hsu LK: Epidemiology of the eating disorders. Psychiatr Clin North Am. 1996, 19 (4): 681-700. 10.1016/S0193-953X(05)70375-0.View ArticlePubMedGoogle Scholar
- Keski-Rahkonen A, Hoek HW, Susser ES, Linna MS, Sihvola E, Raevuori A, Bulik CM, Kaprio J, Rissanen A: Epidemiology and course of anorexia nervosa in the community. Am J Psychiatry. 2007, 164 (8): 1259-1265. 10.1176/appi.ajp.2007.06081388.View ArticlePubMedGoogle Scholar
- Hudson JI, Hiripi E, Pope HG, Kessler RC: The prevalence and correlates of eating disorders in the National Comorbidity Survey Replication. Biol Psychiatry. 2007, 61 (3): 348-358. 10.1016/j.biopsych.2006.03.040.View ArticlePubMedGoogle Scholar
- Steinhausen HC: The outcome of anorexia nervosa in the 20th century. Am J Psychiatry. 2002, 159 (8): 1284-1293. 10.1176/appi.ajp.159.8.1284.View ArticlePubMedGoogle Scholar
- Morgan JF, Reid F, Lacey JH: The SCOFF questionnaire: assessment of a new screening tool for eating disorders. BMJ: British medical journal. 1999, 319 (7223): 1467-1468.View ArticlePubMedPubMed CentralGoogle Scholar
- Garcia-Campayo J, Sanz-Carrillo C, Ibanez JA, Lou S, Solano V, Alda M: Validation of the Spanish version of the SCOFF questionnaire for the screening of eating disorders in primary care. J Psychosom Res. 2005, 59 (2): 51-55. 10.1016/j.jpsychores.2004.06.005.View ArticlePubMedGoogle Scholar
- Garner DM, Garfinkel PE: The Eating Attitudes Test: an index of the symptoms of anorexia nervosa. Psychol Med. 1979, 9 (2): 273-279.View ArticlePubMedGoogle Scholar
- Garner DM, Olmstedt MP, Polivy J: Development and validation of a multidimensional Eating Disorder Inventory for anorexia and bulimia. Int J Eat Disord. 1983, (2): 15-34. 10.1002/1098-108X(198321)2:2<15::AID-EAT2260020203>3.0.CO;2-6.Google Scholar
- Henderson M, Freeman CP: A self-rating scale for bulimia. The 'BITE'. Br J Psychiatry. 1987, 150: 18-24. 10.1192/bjp.150.1.18.View ArticlePubMedGoogle Scholar
- Hautala L, Alin J, Liuksila P-R, Räihä H, Saarijärvi S: SCOFF-syömishäiriöseulan reliabiliteetti ja rakennevaliditeetti murrosikäisten koululaisten seulonnassa. Duodecim. 2006, (122): 2137-2144.Google Scholar
- Perry L, Morgan J, Reid F, Brunton J, O'Brien A, Luck A, Lacey H: Screening for symptoms of eating disorders: reliability of the SCOFF screening tool with written compared to oral delivery. Int J Eat Disord. 2002, 32 (4): 466-472. 10.1002/eat.10093.View ArticlePubMedGoogle Scholar
- Rodriguez Martin A, Novalbos Ruiz JP, Martinez Nieto JM, Escobar Jimenez L, Castro De Haro AL: Epidemiological study of the influence of family and socioeconomic status in disorders of eating behaviour. Eur J Clin Nutr. 2004, 58 (6): 846-852. 10.1038/sj.ejcn.1601884.View ArticlePubMedGoogle Scholar
- Rodriguez Martin A, Novalbos Ruiz JP, Martinez Nieto JM, Escobar Jimenez L, Castro de Haro AL: Characteristics of eating disorders in a university hospital-based Spanish population. Eur J Clin Nutr. 2005, 59 (3): 459-462. 10.1038/sj.ejcn.1602095.View ArticlePubMedGoogle Scholar
- Castaneda A, Suvisaari J, Marttunen M, Perälä J, Saarni S, Aalto-Setälä T, Aro H, Koskinen S, Lönnqvist J, Tuulio-Henriksson A: Cognitive functioning in a population-based sample of young adults with a history of non-psychotic unipolar depressive disorders without psychiatric comorbidity. J Affect Disord. 110 (1-2): 36-45. 10.1016/j.jad.2007.12.239.Google Scholar
- Suvisaari J, Aalto-Setala T, Tuulio-Henriksson A, Harkanen T, Saarni SI, Perala J, Schreck M, Castaneda A, Hintikka J, Kestila L, et al: Mental disorders in young adulthood. Psychol Med. 39 (2): 287-299. 10.1017/S0033291708003632.Google Scholar
- Aromaa A, Koskinen S: Health and Functional Capacity in Finland. Baseline Results of the Health 2000 Examination Survey. Publications of National Public Health Institute, B12, 2004. 2004, Helsinki, Finland: National Public Health Institute, FinlandGoogle Scholar
- Koskinen S, Kestilä L, Martelin T, Aromaa A: Nuorten aikuisten terveys. Terveys 2000-tutkimuksen perustulokset 18–29-vuotiaiden terveydestä ja siihen liittyvistä tekijöistä. [The health of young adults. Baseline results of the Health 2000 Study on the health of 18 to 29-year-olds and the factors associated with it.]. 2005, Helsinki, Finland: National Public Health Institute, FinlandGoogle Scholar
- Pirkola SP, Isometsa E, Suvisaari J, Aro H, Joukamaa M, Poikolainen K, Koskinen S, Aromaa A, Lonnqvist JK: DSM-IV mood-, anxiety- and alcohol use disorders and their comorbidity in the Finnish general population – results from the Health 2000 Study. Social psychiatry and psychiatric epidemiology. 2005, 40 (1): 1-10. 10.1007/s00127-005-0848-7.View ArticlePubMedGoogle Scholar
- Goldberg DP, Gater R, Sartorius N, Ustun TB, Piccinelli M, Gureje O, Rutter C: The validity of two versions of the GHQ in the WHO study of mental illness in general health care. Psychol Med. 1997, 27 (1): 191-197. 10.1017/S0033291796004242.View ArticlePubMedGoogle Scholar
- Kessler RC, Barker PR, Colpe LJ, Epstein JF, Gfroerer JC, Hiripi E, Howes MJ, Normand SL, Manderscheid RW, Walters EE, et al: Screening for serious mental illness in the general population. Arch Gen Psychiatry. 2003, 60 (2): 184-189. 10.1001/archpsyc.60.2.184.View ArticlePubMedGoogle Scholar
- Ewing JA: Detecting alcoholism. The CAGE questionnaire. Jama. 1984, 252 (14): 1905-1907. 10.1001/jama.252.14.1905.View ArticlePubMedGoogle Scholar
- WHO: Composite International Diagnostic Interview (CIDI, Version 1.1). 1990, Geneva: World Health OrganisationGoogle Scholar
- WHO: Composite International Diagnostic Interview (CIDI, Version 2.1). 1997, Geneva: World Health OrganisationGoogle Scholar
- Hirschfeld RM, Williams JB, Spitzer RL, Calabrese JR, Flynn L, Keck PE, Lewis L, McElroy SL, Post RM, Rapport DJ, et al: Development and validation of a screening instrument for bipolar spectrum disorder: the Mood Disorder Questionnaire. Am J Psychiatry. 2000, 157 (11): 1873-1875. 10.1176/appi.ajp.157.11.1873.View ArticlePubMedGoogle Scholar
- First M, Anthony J, Tepper S, Dryman A: Structured Clinical Interview for DSM-IV Axis I Disorders, Research Version, Nonpatient Edition (SCID-I/NP). 1997, New York: Biometrics Research, New York State Psychiatric InstituteGoogle Scholar
- Luck AJ, Morgan JF, Reid F, O'Brien A, Brunton J, Price C, Perry L, Lacey JH: The SCOFF questionnaire and clinical interview for eating disorders in general practice: comparative study. BMJ: British medical journal. 2002, 325 (7367): 755-756. 10.1136/bmj.325.7367.755.View ArticlePubMedPubMed CentralGoogle Scholar
- Hsiao JK, Bartko JJ, Potter WZ: Diagnosing diagnoses. Receiver operating characteristic methods and psychiatry. Arch Gen Psychiatry. 1989, 46 (7): 664-667.View ArticlePubMedGoogle Scholar
- SAS 8.02. 1999, USA: Statistical Analysis Systems, Institute IncGoogle Scholar
- Eng J: ROC analysis: web-based calculator for ROC curves. Baltimore: Johns Hopkins University [updated 2006 May 17; cited September 6, 2006]. 2006, [http://www.jrocfit.org]Google Scholar
- Cotton MA, Ball C, Robinson P: Four simple questions can help screen for eating disorders. J Gen Intern Med. 2003, 18 (1): 53-56. 10.1046/j.1525-1497.2003.20374.x.View ArticlePubMedPubMed CentralGoogle Scholar
- Parker SC, Lyons J, Bonner J: Eating disorders in graduate students: exploring the SCOFF questionnaire as a simple screening tool. J Am Coll Health. 2005, 54 (2): 103-107. 10.3200/JACH.54.2.103-107.View ArticlePubMedGoogle Scholar
- Mond JM, Myers TC, Crosby RD, Hay PJ, Rodgers B, Morgan JF, Lacey JH, Mitchell JE: Screening for eating disorders in primary care: EDE-Q versus SCOFF. Behav Res Ther. 2008, 46 (5): 612-622. 10.1016/j.brat.2008.02.003.View ArticlePubMedGoogle Scholar
- Caamaño F: Validation of SCOFF questionnaire among pre-teenagers. BMJ. 2002Google Scholar
- Rueda JGE, Diaz LA, Campo A, Barros JA, Avila GC, Orostegui LT, Osorio BC, Cadena Ldel P: [Validation of the SCOFF questionnaire for screening of eating disorders in university women]. Biomedica. 2005, 25 (2): 196-202.View ArticlePubMedGoogle Scholar
- Rueda JGE, Diaz Martinez LA, Ortiz Barajas DP, Pinzon Plata C, Rodriguez Martinez J, Cadena Afanador LP: [Validation of the SCOFF questionnaire for screening the eating behaviour disorders of adolescents in school]. Aten Primaria. 2005, 35 (2): 89-94. 10.1157/13071915.View ArticleGoogle Scholar
- Boyd JC: Mathematical tools for demonstrating the clinical usefulness of biochemical markers. Scand J Clin Lab Invest Suppl. 1997, 227: 46-63.View ArticlePubMedGoogle Scholar
- Siervo M, Boschi V, Papa A, Bellini O, Falconi C: Application of the SCOFF, Eating Attitude Test 26 (EAT 26) and Eating Inventory (TFEQ) Questionnaires in young women seeking diet-therapy. Eat Weight Disord. 2005, 10 (2): 76-82.View ArticlePubMedGoogle Scholar
- Ogg EC, Millar HR, Pusztai EE, Thom AS: General practice consultation patterns preceding diagnosis of eating disorders. Int J Eat Disord. 1997, 22 (1): 89-93. 10.1002/(SICI)1098-108X(199707)22:1<89::AID-EAT12>3.0.CO;2-D.View ArticlePubMedGoogle Scholar
- Lähteenmäki S, Saarni SE, Aalto-Setälä T, Perälä J, Saarni SI, Aro H, Lönnqvist J, Suvisaari J: Comorbidity and prevalence of eating disorders in young adult population and a validation of SCOFF screen. Poster presentation Number NR1-035, Annual Meeting Of the American Psychiatric Association 2008 Washington DC. 2008Google Scholar
- Selzer R, Hamill C, Bowes G, Patton G: The branched eating disorders test: validity in a nonclinical population. Int J Eat Disord. 1996, 20 (1): 57-64. 10.1002/(SICI)1098-108X(199607)20:1<57::AID-EAT7>3.0.CO;2-3.View ArticlePubMedGoogle Scholar
- Stice E, Telch CF, Rizvi SL: Development and validation of the Eating Disorder Diagnostic Scale: a brief self-report measure of anorexia, bulimia, and binge-eating disorder. Psychological assessment. 2000, 12 (2): 123-131. 10.1037/1040-3522.214.171.124.View ArticlePubMedGoogle Scholar
- Ghaderi A, Scott B: Prevalence and psychological correlates of eating disorders among females aged 18–30 years in the general population. Acta Psychiatr Scand. 1999, 99 (4): 261-266. 10.1111/j.1600-0447.1999.tb07223.x.View ArticlePubMedGoogle Scholar
- Ghaderi A, Scott B: The Preliminary Reliability and Validity of the Survey for Eating Disorders (SEDs): A Self-Report Questionnaire for Diagnosing Eating Disorders. European Eating Disorders Review. 2002, 10 (1): 61-76. 10.1002/erv.425.View ArticleGoogle Scholar
- Mond JM, Hay PJ, Rodgers B, Owen C, Beumont PJ: Validity of the Eating Disorder Examination Questionnaire (EDE-Q) in screening for eating disorders in community samples. Behav Res Ther. 2004, 42 (5): 551-567. 10.1016/S0005-7967(03)00161-X.View ArticlePubMedGoogle Scholar
- Jacobi C, Abascal L, Taylor CB: Screening for eating disorders and high-risk behavior: caution. Int J Eat Disord. 2004, 36 (3): 280-295. 10.1002/eat.20048.View ArticlePubMedGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-244X/9/5/prepub
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.