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Record W2412324940 · doi:10.1038/nutd.2015.25

Are we overlooking the qualitative ‘look’ of obesity?

2015· editorial· en· W2412324940 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueNutrition and Diabetes · 2015
Typeeditorial
Languageen
FieldHealth Professions
TopicObesity and Health Practices
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineNewspaperQualitative researchSocial mediaChildhood obesityPublic relationsObesityMedia studiesSocial scienceSociologyPathology

Abstract

fetched live from 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.064
Threshold uncertainty score0.842

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.124
GPT teacher head0.494
Teacher spread0.370 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it