Evidence map›Paper›PMID 35281205›Full record

ArticleFrontiers in psychiatry2021

Patients With Super Obesity Do Not Perceive Themselves as Being at Higher Risk for a More Severe Course of COVID-19 Infection.

Norbert Schäffeler, Jacqueline Lohmiller, Isabelle Mack, Rami Archid, Stephan Zipfel, Andreas Stengel

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Norbert SchäffelerDepartment of Psychosomatic Medicine and Psychotherapy, University Hospital Tübingen, Tübingen, Germany.
Jacqueline LohmillerDepartment of Psychosomatic Medicine and Psychotherapy, University Hospital Tübingen, Tübingen, Germany.
Isabelle MackDepartment of Psychosomatic Medicine and Psychotherapy, University Hospital Tübingen, Tübingen, Germany.
Rami ArchidDepartment of General, Visceral, and Transplant Surgery, University of Tuebingen, Tuebingen, Germany.
Stephan ZipfelDepartment of Psychosomatic Medicine and Psychotherapy, University Hospital Tübingen, Tübingen, Germany.
Andreas StengelDepartment of Psychosomatic Medicine and Psychotherapy, University Hospital Tübingen, Tübingen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The coronavirus disease 2019 (COVID-19) pandemic has led to major health-related concerns in the population. Several risk factors for a severe course of COVID-19 disease have been identified, with obesity taking an important role. However, it is unclear whether this association is only known in the expert world or whether individuals also experience themselves as risk patients due to their obesity and whether the desire for weight reduction may also be associated with a hoped-for risk reduction. These questions were addressed in a cross-sectional study of patients who have presented to an obesity center in order to lose body weight. Methods: Patients ( Results: In our explorative study, overall worries correlated significantly with worries about contracting COVID-19 ( Discussion and Conclusion: An increased risk for a more severe course of COVID-19 infection is not generally perceived by obese individuals. In particular, individuals with very high BMI (>50)-although being at very high risk for a severe course of the COVID-19 disease-do not display increased worries, which might point toward heightened denial.

Indexed as

body perceptiondesire for weight reductionobesityrisk factorsrisk patients

Identifiers

PMID35281205
PMCPMC8907511

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.