The development and psychometric evaluation of FABIANA-checklist: a scale to assess factors influencing treatment initiation in anorexia nervosa
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ABSTRACT:
SUBMITTER: Reuter L
PROVIDER: S-EPMC8565008 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:The aim of this study was to determine the characteristic features which contribute to inappropriate eating attitudes in people suffering from anorexia nervosa, based on an analysis of recent data. Factors influencing these attitudes have a genetic, neurobiological, biochemical, affective-motivational, cognitive, and behavioral background. Another important issue addressed in the paper is a description of the mechanism leading to continuous dietary restrictions. The altered activity of neurotransmitters modulating patients' moods after the consumption of food and a disturbed responsiveness to enterohormones enhance affective-motivational and cognitive aspects which, in turn, impede the improvement of eating behaviors. An understanding of the mechanisms behind the factors affecting the maintenance of inappropriate eating attitudes may contribute to greater effectiveness in the treatment of anorexia nervosa.
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Project description:AimThe aim of this paper was to modify Factors Influencing Teaching Choice scale (FIT-Choice scale) to be appropriate for healthcare professionals and to assess the psychometric properties of the modified scale.DesignA cross-sectional study was used.MethodsA convenience sample of 395 students at the preparatory stage of their health path participated in study to evaluate the psychometric properties of "Healthcare Career Choice Scale" (HCC Scale). The study involves two phases: instrument modification and psychometric evaluation.ResultsThe content validity index was 0.88. Using factor analysis, 12 factors were extracted and explained 71.8% of the total variance. The internal consistency was demonstrated with Cronbach's α = .91.
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Project description:ObjectiveThe lack of reliable and valid tools for assessing the factors that influence stretching exercises (SEs) among Iranian office employees is obvious. This study aimed to design and evaluate psychometric properties of this instrument.DesignCross-sectional study of psychometric properties.SettingData were gathered from May to September 2017.ParticipantsParticipants were 420 office employees who were working in 10 health centres affiliated to the Shahid Beheshti University of Medical Sciences in Tehran, Iran.Primary outcome measuresThe instrument was designed on the basis of the constructs of the health promotion model (HPM) and extant literature. Exploratory factor analysis (EFA), Cronbach's α and intraclass correlation coefficient (ICC) were employed to check the scale's psychometric properties.ResultsIn total, 420 questionnaires were completed. The mean age of the office employees was 37.1±8.03 years. Among the 86 items, 77 items had significant item-to-total correlations (p<0.05). The results showed good internal consistency and reliability for the whole questionnaire and each domain. EFA results confirmed 53.32% of the total variance of the items yielded in 11 subscales. The ICC was acceptable (0.78, 95% CI 0.70 to 0.88).ConclusionsThe Stretching Exercise Influencing Scale (SEIS) can be a reliable and valid instrument for measuring the factors that influence SEs among office employees.Trial registrationIRCT20160824295512N1.
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Project description:Anorexia nervosa (AN) is a psychiatric disorder with an estimated heritability of around 70%. Although the largest genome-wide association study meta-analysis on AN identified independent loci-conferring risk to the disorder, the molecular mechanisms underlying the genetic basis of AN remains to be elucidated. To explore AN, we ran a transcriptome profiling in peripheral blood mononuclear cells of 15 AN subjects and 15 healthy controls. We validated our mean results in a mouse model of chronic food restriction mimicking several aspects of AN. Through this exploratory study we identified 673 significantly differentially expressed genes in AN. Among these genes, we identified the Vanin-1 (Vnn1) gene that appears to play a major role in the regulation of multiple metabolic pathways. We confirmed an underexpression of Vnn1, especially in the liver, in a mouse model of chronic food restriction. These results indicate that quantitative food restriction affects Vnn1 expression, suggesting that this gene may contribute to the anorexic phenotype in the chronic food restriction mouse model as well as in patients affected by AN. We believe that this report highlights promising candidate genes and gene pathways for AN and reveals Vnn1 as a biomarker that may be used as molecular targets to predict and/or to understand AN.
2023-10-31 | GSE245978 | GEO
Project description:Anorexia nervosa (AN) and body dysmorphic disorder (BDD) are potentially life-threatening conditions whose partially overlapping phenomenology-distorted perception of appearance, obsessions/compulsions, and limited insight-can make diagnostic distinction difficult in some cases. Accurate diagnosis is crucial, as the effective treatments for AN and BDD differ. To improve diagnostic accuracy and clarify the contributions of each of the multiple underlying factors, we developed a two-stage machine learning model that uses multimodal, neurobiology-based, and symptom-based quantitative data as features: task-based functional magnetic resonance imaging data using body visual stimuli, graph theory metrics of white matter connectivity from diffusor tensor imaging, and anxiety, depression, and insight psychometric scores. In a sample of unmedicated adults with BDD (n = 29), unmedicated adults with weight-restored AN (n = 24), and healthy controls (n = 31), the resulting model labeled individuals with an accuracy of 76%, significantly better than the chance accuracy of 35% ([Formula: see text]). In the multivariate model, reduced white matter global efficiency and better insight were associated more with AN than with BDD. These results improve our understanding of the relative contributions of the neurobiological characteristics and symptoms of these disorders. Moreover, this approach has the potential to aid clinicians in diagnosis, thereby leading to more tailored therapy.
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Project description:As part of the Genetic Consortium for Anorexia Nervosa (GCAN) and Wellcome Trust Case
Control Consortium 3 (WTCCC3), we have amassed the largest anorexia nervosa (AN)
sample in the world (~4,000). Following the WTCCC3 GWAS, we secured funding from the
Klarman Family Foundation to extend the genetic analyses to variants on the exome chip
(CoreExome array). This pre-lim relates to carrying out genotyping on the CoreExome array
on up to a maximum of 580 new samples.
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Project description:BACKGROUND:Anorexia nervosa (AN) is a severe disorder, for which genetic evidence suggests psychiatric as well as metabolic origins. AN has high somatic and psychiatric comorbidities, broad impact on quality of life, and elevated mortality. Risk factor studies of AN have focused on differences between acutely ill and recovered individuals. Such comparisons often yield ambiguous conclusions, as alterations could reflect different effects depending on the comparison. Whereas differences found in acutely ill patients could reflect state effects that are due to acute starvation or acute disease-specific factors, they could also reflect underlying traits. Observations in recovered individuals could reflect either an underlying trait or a "scar" due to lasting effects of sustained undernutrition and illness. The co-twin control design (i.e., monozygotic [MZ] twins who are discordant for AN and MZ concordant control twin pairs) affords at least partial disambiguation of these effects. METHODS:Comprehensive Risk Evaluation for Anorexia nervosa in Twins (CREAT) will be the largest and most comprehensive investigation of twins who are discordant for AN to date. CREAT utilizes a co-twin control design that includes endocrinological, neurocognitive, neuroimaging, genomic, and multi-omic approaches coupled with an experimental component that explores the impact of an overnight fast on most measured parameters. DISCUSSION:The multimodal longitudinal twin assessment of the CREAT study will help to disambiguate state, trait, and "scar" effects, and thereby enable a deeper understanding of the contribution of genetics, epigenetics, cognitive functions, brain structure and function, metabolism, endocrinology, microbiology, and immunology to the etiology and maintenance of AN.
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Project description:BACKGROUND:Increasing the prevalence of optimal breastfeeding practices, including exclusive breastfeeding for 6?months, could prevent an estimated 823,000 child deaths annually. Self-efficacy is an important determinant of breastfeeding behaviors. However, existing measures do not specifically assess exclusive breastfeeding self-efficacy, but rather self-efficacy for any breastfeeding. Hence, we sought to adapt and validate an instrument to measure exclusive breastfeeding self-efficacy. METHODS:We modified and added items from Dennis' Breastfeeding Self-Efficacy Scale-Short Form (BSES-SF). It was then implemented in an observational cohort in Gulu, Uganda at 1 (n?=?239) and 3 (n?=?238) months postpartum ( clinicaltrials.gov NCT02925429). We performed inter-item and adjusted item-test correlations, as well as exploratory factor analysis and parallel analysis at 1?month postpartum to remove redundant items and determine their latent factor structure. We further applied confirmatory factor analysis to test dimensionality of the scale at 3?months postpartum. We then assessed the reliability of the scale and conducted tests of predictive and discriminant validity. Known group comparisons were made by primiparous status and correct breastfeeding knowledge. RESULTS:The modification of the original BSES-SF to target exclusive breastfeeding produced 19 items, which were reduced to 9 based on item correlations and factor loadings. Two dimensions of the adapted scale, the Breastfeeding Self-Efficacy Scale to Measure Exclusive Breastfeeding BSES-EBF emerged: Cognitive and Functional subscales, with alpha coefficients of 0.85 and 0.79 at 3?months postpartum. Predictive and discriminant validity and known group comparisons assessments supported its validity. CONCLUSIONS:This version of the Breastfeeding Self-Efficacy scale, the BSES-EBF Scale, is valid and reliable for measuring exclusive breastfeeding self-efficacy in northern Uganda, and ready for adaptation and validation for clinical and programmatic use elsewhere.
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Project description:Genetic factors contribute to the etiology of anorexia nervosa (AN). This review synthesizes the current state of knowledge about the genetic etiology of AN, provides directions for future research, and discusses clinical implications for this research.Candidate gene meta-analyses indicate serotonin genes may be involved in the genetic etiology of AN. Three genome-wide association studies have been conducted and one genome-wide significant locus was identified. Cross-disorder analyses suggest shared genetic risk between AN and several psychiatric, educational, and medical phenotypes. Much has been learned about the genetic etiology of AN over the past 3 decades. However, to fully understand the genetic architecture, we must consider all aspects including common variation, cross-disorder analysis, rare variation, copy number variation, and gene-environment interplay. Findings have important implications for the development of treatment and prevention approaches and for how AN, and psychiatric and medical diseases in general, are conceptualized.
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Project description:OBJECTIVE:Antidiuretic hormone (ADH) is involved in the response to stress and in depression and anxiety. However, studies on ADH in anorexia nervosa (AN) show conflicting results. A major reason for this may be methodological challenges due to short half-life of ADH in circulation and rapid degradation in vitro. To overcome these obstacles, copeptin, the C-terminal fragment stemming from the ADH precursor, has been increasingly used as a stable clinical measure for ADH. Furthermore, copeptin has been recognized as a biomarker of insulin resistance in obesity. METHODS:We measured fasting copeptin in plasma from 25 normohydrated, stable women with AN (BMI 13.0 ± 2.0) and 25 age-matched women. RESULTS:No difference in copeptin levels was found (6.8 ± 1.8 vs. 5.5 ± 0.5 pmol/L). Confirmatory, copeptin concentrations were correlated to insulin resistance assessed by the homeostasis model assessment of insulin resistance. DISCUSSION:We report for the first time that copeptin level as a marker of ADH activity is not altered in fluid- and electrolyte-stabilized patients with severe AN patients, indicating that ADH may not be crucial in the pathophysiological involvement of psychologic stress in AN.
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