Mariona Portell

Psychometric Properties of the Eating Disorder Examination Questionnaire (EDE-Q) and Norms for Rural and Urban Adolescent Males and Females in Mexico

Aims To contribute new evidence to the controversy about the factor structure of the Eating Disorder Examination Questionnaire (EDE-Q) and to provide, for the first time, norms based on a large adolescent Mexican community sample, regarding sex and area of residence (urban/rural). Methods A total of 2928 schoolchildren (1544 females and 1384 males) aged 11-18 were assessed with the EDE-Q and other disordered eating questionnaire measures. Results Confirmatory factor analysis of the attitudinal items of the EDE-Q did not support the four theorized subscales, and a two-factor solution, Restraint and Eating-Shape-Weight concern, showed better fit than the other models examined (RMSEA = .054); measurement invariance for this two-factor model across sex and area of residence was found. Satisfactory internal consistency (ω ≥ .80) and two-week test-retest reliability (ICCa ≥ .84; κ ≥ .56), and evidence for convergent validity with external measures was obtained. The highest attitudinal EDE-Q scores were found for urban females and the lowest scores were found for rural males, whereas the occurrence of key eating disorder behavioural features and compensatory behaviours was similar in both areas of residence. Conclusions This study reveals satisfactory psychometric properties and provides population norms of the EDE-Q, which may help clinicians and researchers to interpret the EDE-Q scores of adolescents from urban and rural areas in Mexico.

Evaluation of a school-based programme of universal eating disorders prevention: is it more effective in girls at risk?

There is currently controversy surrounding the effectiveness of universal versus selective prevention in eating disorders (ED). The present study aims at evaluating the effectiveness of universal school-based ED prevention administered to female secondary school students (n = 349). Students received either the full prevention programme (learning basic concepts of nutrition, criticism of aesthetic models of beauty emphasising extreme thinness, media literacy (ML)), a partial version of the programme (without nutritional education), or no prevention programme. Students were also classified on the presence or absence of distinct risk factors for ED: Early menarche, overweight, dieting, negative attitudes to food and perceived pressure to be thin. Pre-test data were collected 1 week prior to implementation of the prevention programme, and post-test data were collected on the last day of the programme. Results suggested that both the full and partial prevention programmes reduced perceived pressure to be thin and improved eating attitudes and knowledge of nutrition in all the participants (regardless of risk); however, greater effect sizes were found among particular high-risk groups (early menarche, overweight and highly influenced by aesthetic models of beauty emphasising extreme thinness). School-based programmes of universal intervention may have an important role to play in the prevention of ED.

A Controlled Assessment of School-Based Preventive Programs for Reducing Eating Disorder Risk Factors in Adolescent Spanish Girls

This study assesses the impact of an eating disorders universal preventive program on a representative sample of Spanish adolescents in the area of Barcelona, Spain. 323 adolescent girls were assigned to three experimental conditions: complete intervention, partial intervention, and non-treatment. The program obtained a significant change in reducing the influences of the aesthetic body ideal and in improving the knowledge of nutrition. Nevertheless, attained post-treatment changes dissipate at the 6 month follow-up. In our opinion, the lack of lasting effects should be attributed to a series of considerations such as format, tests not validated for this age, or insufficient research.

Guidelines for reporting evaluations based on observational methodology

BACKGROUND Observational methodology is one of the most suitable research designs for evaluating fidelity of implementation, especially in complex interventions. However, the conduct and reporting of observational studies is hampered by the absence of specific guidelines, such as those that exist for other evaluation designs. This lack of specific guidance poses a threat to the quality and transparency of these studies and also constitutes a considerable publication hurdle. The aim of this study thus was to draw up a set of proposed guidelines for reporting evaluations based on observational methodology. METHOD The guidelines were developed by triangulating three sources of information: observational studies performed in different fields by experts in observational methodology, reporting guidelines for general studies and studies with similar designs to observational studies, and proposals from experts in observational methodology at scientific meetings. RESULTS We produced a list of guidelines grouped into three domains: intervention and expected outcomes, methods, and results. CONCLUSIONS The result is a useful, carefully crafted set of simple guidelines for conducting and reporting observational studies in the field of program evaluation.

Quantifying biopsychosocial aspects in everyday contexts: an integrative methodological approach from the behavioral sciences

Contextual factors are crucial for evaluative research in psychology, as they provide insights into what works, for whom, in what circumstances, in what respects, and why. Studying behavior in context, however, poses numerous methodological challenges. Although a comprehensive framework for classifying methods seeking to quantify biopsychosocial aspects in everyday contexts was recently proposed, this framework does not contemplate contributions from observational methodology. The aim of this paper is to justify and propose a more general framework that includes observational methodology approaches. Our analysis is rooted in two general concepts: ecological validity and methodological complementarity. We performed a narrative review of the literature on research methods and techniques for studying daily life and describe their shared properties and requirements (collection of data in real time, on repeated occasions, and in natural settings) and classification criteria (eg, variables of interest and level of participant involvement in the data collection process). We provide several examples that illustrate why, despite their higher costs, studies of behavior and experience in everyday contexts offer insights that complement findings provided by other methodological approaches. We urge that observational methodology be included in classifications of research methods and techniques for studying everyday behavior and advocate a renewed commitment to prioritizing ecological validity in behavioral research seeking to quantify biopsychosocial aspects.

Cloninger's psychobiological model of personality and psychological distress in fibromyalgia

Personality can play an important role in the clinical symptoms of fibromyalgia (FM). The aim of this study is to identify personality profiles in FM patients and the possible presence of personality disorder (PD) from the Temperament and Character Inventory‐Revised (TCI‐R), and to assess whether personality dimensions are related to psychological distress in FM.

Assessment of body image: Psychometric properties of the body image questionnaire

This study investigated the psychometric properties of the Body Image Questionnaire (QÜIC) in Spanish adolescents. The sample comprised 254 girls and 189 boys, aged 12–15. Principal component analyses showed that the 18 satisfaction items could be summarized using two moderately interrelated dimensions, torso and head/limbs, with satisfaction with chest/breast and genitals loading on a different factor for boys (torso) and girls (head/limbs). The QÜIC measures of body satisfaction, body problems, general physical appearance and conformity with weight and height presented satisfactory test-retest reliability, internal consistency and convergent validity. Our findings support the use of the QÜIC when assessing body image.

Childhood sexual and physical abuse in Spanish female undergraduates: does it affect eating disturbances?

OBJECTIVE To assess the relationship between childhood sexual and physical abuse, and key attitudinal and behavioural aspects of eating disorders (ED). METHOD Participants included 708 female undergraduates in a Spanish public university, aged from 18 to 30. Abuse was measured by the Traumatic Life Events Questionnaire, and ED by the Eating Disorders Examination Questionnaire (EDE-Q). RESULTS 14.3% of the sample had suffered childhood sexual abuse (CSA) and 3.8% childhood physical abuse (CPA). With respect to ED attitudinal features, we observed an increased Weight Concern score among CSA survivors. No association was found between this kind of abuse and disordered eating behaviours, after adjusting for depression, anxiety, self-esteem, body mass index, age and socioeconomic status. An inverse relationship was found between CPA and ED attitudes measured by EDE-Q (Restraint, Weight Concern, Shape Concern and the Overall Score), whereas no association was found with the behavioural aspects of eating disturbances. DISCUSSION After controlling for different risk factors, CSA appears to be related to an increased Weight Concern, whilst other ED attitudinal features and behaviours do not seem to be related to childhood abuse. The inverse relationship found is discussed.

Indirect Observation in Everyday Contexts: Concepts and Methodological Guidelines within a Mixed Methods Framework

Indirect observation is a recent concept in systematic observation. It largely involves analyzing textual material generated either indirectly from transcriptions of audio recordings of verbal behavior in natural settings (e.g., conversation, group discussions) or directly from narratives (e.g., letters of complaint, tweets, forum posts). It may also feature seemingly unobtrusive objects that can provide relevant insights into daily routines. All these materials constitute an extremely rich source of information for studying everyday life, and they are continuously growing with the burgeoning of new technologies for data recording, dissemination, and storage. Narratives are an excellent vehicle for studying everyday life, and quantitization is proposed as a means of integrating qualitative and quantitative elements. However, this analysis requires a structured system that enables researchers to analyze varying forms and sources of information objectively. In this paper, we present a methodological framework detailing the steps and decisions required to quantitatively analyze a set of data that was originally qualitative. We provide guidelines on study dimensions, text segmentation criteria, ad hoc observation instruments, data quality controls, and coding and preparation of text for quantitative analysis. The quality control stage is essential to ensure that the code matrices generated from the qualitative data are reliable. We provide examples of how an indirect observation study can produce data for quantitative analysis and also describe the different software tools available for the various stages of the process. The proposed method is framed within a specific mixed methods approach that involves collecting qualitative data and subsequently transforming these into matrices of codes (not frequencies) for quantitative analysis to detect underlying structures and behavioral patterns. The data collection and quality control procedures fully meet the requirement of flexibility and provide new perspectives on data integration in the study of biopsychosocial aspects in everyday contexts.

Overdispersion Tests in Count-Data Analysis

Count data are commonly assumed to have a Poisson distribution, especially when there is no diagnostic procedure for checking this assumption. However, count data rarely fit the restrictive assumptions of the Poisson distribution. The violation of much of such assumptions commonly results in overdispersion, which invalidates the Poisson distribution. Undetected overdispersion may entail important misleading inferences, so its detection is essential. In this study, different overdispersion diagnostic tests are evaluated through two simulation studies. In Exp. 1, the nominal error rate is compared under different sample sizes and Λ conditions. Analysis shows a remarkable performance of the χ2 df test. In Exp. 2 and 3, statistical power is compared under different sample sizes, Λ, and overdispersion conditions. χ2 and LR tests provide the highest statistical power.