Evidence map›Paper›PMID 22163208›Full record

ArticleInternational journal of environmental research and public health2011

Physician consultations according to different BMI levels of the Greek general population.

Evelina Pappa, Nick Kontodimopoulos, Angelos A Papadopoulos, Yannis Tountas, Dimitris Niakas

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2011. 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
0.6field-weighted citation impact, top 21% of its field
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, 3 citations in OpenAlex.

  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

5 authors at 1 institution in 1 country.

Evelina PappaHellenic Open University, Patras, Greece. evanpappa@gmail.com
Nick Kontodimopoulos
Angelos A Papadopoulos
Yannis Tountas
Dimitris Niakas
Hellenic Open University · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity constitutes a global epidemic which is rapidly becoming a major public health problem in many parts of the world, threatening peoples' health and quality of life. The aim of our study was to estimate the prevalence and impact of overweight and obesity on physician consultations and frequency of use and furthermore, to investigate whether physician consultations in each of the groups defined by BMI level correspond to the need for care implied by health risk level, using logistic regression models. The survey was carried out in Greece in 2006 and involved complete data from 645 individuals consulted by physicians. Overweight and obese users constituted 41.7% and 19% of the sample respectively. The findings showed firstly that the odds of obese individuals visiting a physician (OR 2.15) or making more than three visits (OR 2.12) was doubled compared to the odds of individuals with normal weight. Secondly, we conclude that physician consultations in overweight and obese subgroups as well as the frequency of visits were predicted by factors such as co-morbidities, low HRQL, low educational level which are associated directly or indirectly with obesity, and thus with a greater health need, assuming vertical equity in the utilization of such services.

Indexed as

Body Mass IndexOverweightAdolescentAdultAgedAged, 80 and overComorbidityCross-Sectional StudiesFemaleGreeceHealth Services Needs and DemandHumansLogistic ModelsMaleMiddle AgedObesityGreecehealth needsobesityoverweightphysician consultations

Identifiers

PMID22163208
PMCPMC3228572
OpenAlexW2103812325

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.