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Record W2620916492 · doi:10.1186/s40608-017-0157-1

Gender, alexithymia and physical inactivity associated with abdominal obesity in type 1 diabetes mellitus: a cross sectional study at a secondary care hospital diabetes clinic

2017· article· en· W2620916492 on OpenAlexaboutno aff
Eva Melin, Ralph Svensson, Maria Thunander, Magnus Hillman, Hans Thulesius, Mona Landin‐Olsson

Bibliographic record

VenueBMC Obesity · 2017
Typearticle
Languageen
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsnot available
FundersRegion KronobergLunds Universitet
KeywordsMedicineAbdominal obesityAlexithymiaWaistObesityHospital Anxiety and Depression ScaleCross-sectional studyDiabetes mellitusAnxietyDepression (economics)AnthropometryType 2 diabetesBody mass indexInternal medicinePsychiatryEndocrinology

Abstract

fetched live from OpenAlex

Obesity is linked to cardiovascular diseases and increasingly common in type 1 diabetes mellitus (T1DM) since the introduction of intensified insulin therapy. Our main aim was to explore associations between obesity and depression, anxiety, alexithymia and self-image measures and to control for lifestyle variables in a sample of persons with T1DM. Secondary aims were to explore associations between abdominal and general obesity and cardiovascular complications in T1DM. Cross sectional study of 284 persons with T1DM (age 18–59 years, men 56%), consecutively recruited from one secondary care hospital diabetes clinic in Sweden. Assessments were performed with self-report instruments (Hospital Anxiety and Depression Scale, Toronto Alexithymia Scale-20 items and Structural Analysis of Social Behavior). Anthropometrics and blood samples were collected for this study and supplemented with data from the patients’ medical records. Abdominal obesity was defined as waist circumference men/women (meters): ≥1.02/≥0.88, and general obesity as BMI ≥30 kg/m 2 for both genders. Abdominal obesity was chosen in the analyses due to the high association with cardiovascular complications. Different explanatory logistic regression models were elaborated for the associations and calibrated and validated for goodness of fit with the data variables. The prevalence of abdominal obesity was 49/284 (17%), men/women: 8%/29% ( P < 0.001). Abdominal obesity was associated with women (AOR 4.9), physical inactivity (AOR 3.1), alexithymia (AOR 2.6) and age (per year) (AOR 1.04). One of the three alexithymia sub factors, “difficulty identifying feelings” (AOR 3.1), was associated with abdominal obesity. Gender analyses showed that abdominal obesity in men was associated with “difficulty identifying feelings” (AOR 7.7), and in women with use of antidepressants (AOR 4.3) and physical inactivity (AOR 3.6). Cardiovascular complications were associated with abdominal obesity (AOR 5.2). Alexithymia, particularly the alexithymia subfactor “difficulty identifying feelings”, physical inactivity, and women, as well as cardiovascular complications were associated with abdominal obesity. As abdominal obesity is detrimental in diabetes due to its association with cardiovascular complications, our results suggest two risk factor treatment targets: increased emotional awareness and increased physical activity.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.024
GPT teacher head0.304
Teacher spread0.280 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations19
Published2017
Admission routes1
Has abstractyes

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