Evidence map›Paper›PMID 25036102›Full record

ArticlePloS one2014

Obesity and associated lifestyle in a large sample of multi-morbid German primary care attendees.

Claudia Sikorski, Melanie Luppa, Siegfried Weyerer, Hans-Helmut König, Wolfgang Maier, Gerhard Schön, Juliana J Petersen, Jochen Gensichen, Angela Fuchs, Horst Bickel and 5 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.5field-weighted citation impact, top 8% 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

10 citing papers in PubMed, 27 citations in OpenAlex.

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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

15 authors at 10 institutions in 1 country.

Claudia SikorskiInstitute of Social Medicine, Occupational Health and Public Health, University of Leipzig, Leipzig, Germany; Leipzig University Medical Center, IFB AdiposityDiseases, Leipzig, Germany.
Melanie LuppaInstitute of Social Medicine, Occupational Health and Public Health, University of Leipzig, Leipzig, Germany.
Siegfried WeyererCentral Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany.
Hans-Helmut KönigDepartment of Medical Sociology, Social Medicine and Health Economics, Hamburg-Eppendorf University Medical Center, Hamburg, Germany.
Wolfgang MaierDepartment of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany.
Gerhard SchönDepartment of Medical Biometry and Epidemiology, Hamburg-Eppendorf University Medical Center, Hamburg, Germany.
Juliana J PetersenInstitute of General Practice, Goethe-University Frankfurt am Main, Frankfurt am Main, Germany.
Jochen GensichenDepartment of General Practice, Jena University Hospital, Jena, Germany.
Angela FuchsDepartment of General Practice, Medical Faculty, University of Dusseldorf, Dusseldorf, Germany.
Horst BickelDepartment of Psychiatry, Technical University of Munich, München, Germany.
Birgitt WieseInstitute for Biometry, Hannover Medical School, Hannover, Germany.
Heike HansenDepartment of Primary Medical Care, Hamburg-Eppendorf University Medical Center, Hamburg, Germany.
Hendrik van den BusscheDepartment of Primary Medical Care, Hamburg-Eppendorf University Medical Center, Hamburg, Germany.
Martin SchererDepartment of Primary Medical Care, Hamburg-Eppendorf University Medical Center, Hamburg, Germany.
Steffi G Riedel-HellerInstitute of Social Medicine, Occupational Health and Public Health, University of Leipzig, Leipzig, Germany.
Leipzig University · DEUniversität Hamburg · DEUniversity Medical Center Hamburg-Eppendorf · DEGoethe University Frankfurt · DEHeidelberg University · DEHeinrich Heine University Düsseldorf · DEJena University Hospital · DEMedizinische Hochschule Hannover · DETechnical University of Munich · DEUniversity of Bonn · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObesity and the accompanying increased morbidity and mortality risk is highly prevalent among older adults. As obese elderly might benefit from intentional weight reduction, it is necessary to determine associated and potentially modifiable factors on senior obesity. This cross-sectional study focuses on multi-morbid patients which make up the majority in primary care. It reports on the prevalence of senior obesity and its associations with lifestyle behaviors.

methodsA total of 3,189 non-demented, multi-morbid participants aged 65-85 years were recruited in primary care within the German MultiCare-study. Physical activity, smoking, alcohol consumption and quantity and quality of nutritional intake were classified as relevant lifestyle factors. Body Mass Index (BMI, general obesity) and waist circumference (WC, abdominal obesity) were used as outcome measures and regression analyses were conducted.

resultsAbout one third of all patients were classified as obese according to BMI. The prevalence of abdominal obesity was 73.5%. Adjusted for socio-demographic variables and objective and subjective disease burden, participants with low physical activity had a 1.6 kg/m2 higher BMI as well as a higher WC (4.9 cm, p<0.001). Current smoking and high alcohol consumption were associated with a lower BMI and WC. In multivariate logistic regression, using elevated WC and BMI as categorical outcomes, the same pattern in lifestyle factors was observed. Only for WC, not current but former smoking was associated with a higher probability for elevated WC. Dietary intake in quantity and quality was not associated with BMI or WC in either model.

conclusionsFurther research is needed to clarify if the huge prevalence discrepancy between BMI and WC also reflects a difference in obesity-related morbidity and mortality. Yet, age-specific thresholds for the BMI are needed likewise. Encouraging and promoting physical activity in older adults might a starting point for weight reduction efforts.

Indexed as

AgedAlcohol DrinkingBody Mass IndexCross-Sectional StudiesFemaleHumansLife StyleLogistic ModelsMaleMorbidityObesity, AbdominalPrevalencePrimary Health CareRisk FactorsSmokingWaist Circumference

Identifiers

PMID25036102
PMCPMC4103827
OpenAlexW2043655470

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.