MétaCan
Menu
Retour à la cohorte
Enregistrement W2412324940 · doi:10.1038/nutd.2015.25

Are we overlooking the qualitative ‘look’ of obesity?

2015· editorial· en· W2412324940 sur OpenAlex

Pourquoi ce travail est dans la base

Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.

affAu moins un auteur déclare une institution canadienne dans l'instantané OpenAlex épinglé.
aboutLe titre ou le résumé porte un signal canadien du lexique géographique.

Notice bibliographique

RevueNutrition and Diabetes · 2015
Typeeditorial
Langueen
DomaineHealth Professions
ThématiqueObesity and Health Practices
Établissements canadiensUniversity of Alberta
Organismes subventionnairesnon disponible
Mots-clésMedicineNewspaperQualitative researchSocial mediaChildhood obesityPublic relationsObesityMedia studiesSocial scienceSociologyPathology

Résumé

récupéré en direct d'OpenAlex

During the opening ceremonies of the 4th Canadian Obesity Summit held recently in Toronto, along with the traditional speeches and awards, a woman who formerly had obesity shared her personal story. Emotional, heart-felt, and humanizing, her experience of living with obesity as a child, a professional, a wife, and an artist provided a detailed and personal view of her ongoing personal struggles with her weight, which set the tone for the meeting over the next few days. Her story and others like it can provide rich insight into individuals' perspectives of obesity and weight management. In our view, these perspectives have been under-represented in the field of obesity research where numbers from quantitative research often take precedence over meanings derived from qualitative inquiry. Qualitative research has proved important in many areas of clinical and health research, including understanding patients' and clinicians' decision making and enhancing quality of health services delivery related to utilization, feasibility and appropriateness of care.1, 2 Despite being on the rise, the publication of qualitative studies in medical journals is still low,3 especially in high-impact journals.4 This pattern is of concern given the role that high-impact journals have in disseminating new evidence to academic and clinical audiences5 as well as to the public through knowledge translation activities that follow publication, including both traditional (newspaper, television and radio) and social (Twitter, blogs) media outlets. Obesity research is not immune to this tendency. Recently, we completed an online search of original manuscripts published from January 2012 to December 2014 in five obesity journals (Childhood Obesity, Clinical Obesity, International Journal of Obesity, Obesity, and Pediatric Obesity). Of the total number of papers published (n=1961), qualitative reports comprised 1.1% (n=21). We also reviewed the authorship guidelines for all five journals and found no explicit statements regarding the exclusion of qualitative research or specific preferences for quantitative research, although some details (for example, testing hypotheses; including controls) were applicable to quantitative study designs only. A search of bibliographic databases including PubMed and Scopus with obesity and qualitative research as key words yields hundreds of publications per year over the past several years, so a low total volume of qualitative studies related to obesity may not be a primary factor for the under representation of qualitative reports in obesity journals. That said, the poor quality and novelty of qualitative manuscripts submitted to obesity journals may be an issue; however, the extent to which this factor has a role is difficult to determine given that details regarding editors' and reviewers' familiarity and expertise in qualitative research are required along with the criteria used to gauge manuscript quality and appropriateness. As health research has been predominantly quantitative,6 the low proportion of qualitative studies published in obesity journals may not relate to poor quality, but to a lack of understanding, making it difficult for editors and reviewers to judge the value and quality of qualitative reports. The tension between qualitative and quantitative research approaches and different underlying epistemologies have been documented.7 In our experience leading qualitative, obesity-related research with clinical and health services foci, we have gained some experience in addressing potential challenges with publication. For instance, the submission and resubmission processes provide opportunities for authors to include additional rationale for key methodological decisions, especially in relation to issues including sample size, hypothesis testing, reliability of coding, data saturation and generalizability of findings. Reviewers of our manuscripts have, more often than not, appreciated our explanations. This experience highlights the value of describing differences and addressing potential misperceptions between quantitative and qualitative research during the peer-review process. In addition, the inclusion of quality assessment and reporting checklists (for example,8, 9) that accompany our manuscript submissions has allowed us to provide a better understanding of the design, implementation, analysis and implications of our research. Using checklists to explain methodological and reporting details of qualitative studies may also benefit from a halo effect as it is consistent with many journal requirements for quantitative research.10 We have also been flexible in accommodating editors' and reviewers' recommendations to edit our manuscripts in circumstances when changes have not compromised the rigor of our qualitative research, but may not necessarily be consistent with the original intent of the research method (for example, including frequency data in thematic analyses). We also believe that several steps can be taken to enhance the presence of qualitative research in obesity research. First, consistent with the approaches taken by other organizations (for example Canadian Obesity Network; Obesity Action Coalition), the inclusion and participation of individuals living with obesity at academic meetings can enable conversations about obesity in a manner that is less stigmatizing and biased, encouraging research (qualitative and quantitative) that is relevant to people living with obesity and providing a forum for their perspectives to inform research. Second, obesity journals can establish dedicated sections to highlight excellence in qualitative research, an approach that has been used to organize other research areas (for example,Clinical Trials and Investigations; Epidemiology/Genetics). Finally, the inclusion of explicit instructions within authorship guidelines for obesity journals can highlight the range of research considered for publication, which can include requiring applicable reporting checklists and be accompanied by the inclusion of scientists, clinicians, and administrators at all stages of the peer-review process who possess methodological expertise in both quantitative and qualitative research. The publication of qualitative research has been positively linked with journals' policies, authorship guidelines, and editorial content,3 so a proactive approach can be beneficial. Collectively, these steps can encourage more inclusive discussions about obesity as well as provide academic venues for publishing and disseminating research of greater epistemological breadth and relevance.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,004
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,064
Score d'incertitude au seuil0,842

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0030,004
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,124
Tête enseignante GPT0,494
Écart entre enseignants0,370 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle