Evidence map›Paper›PMID 26170016›Full record

ArticleBMC geriatrics2015

Prevalence and determinants of overweight and obesity in old age in Germany.

André Hajek, Thomas Lehnert, Annette Ernst, Carolin Lange, Birgitt Wiese, Jana Prokein, Siegfried Weyerer, Jochen Werle, Michael Pentzek, Angela Fuchs and 10 more

Abstract read
In one paragraph

Article in BMC geriatrics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
–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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

20 authors.

André HajekDepartment of Health Economics and Health Services Research, University Medical Center Hamburg-Eppendorf, Hamburg, Germany. a.hajek@uke.de.
Thomas LehnertDepartment of Health Economics and Health Services Research, University Medical Center Hamburg-Eppendorf, Hamburg, Germany. t.lehnert@uke.de.
Annette ErnstDepartment of Primary Medical Care, Center for Psychosocial Medicine, University Medical Center, Hamburg-Eppendorf, Hamburg, Germany. a.ernst@uke.de.
Carolin LangeDepartment of Primary Medical Care, Center for Psychosocial Medicine, University Medical Center, Hamburg-Eppendorf, Hamburg, Germany. car.lange@uke.de.
Birgitt WieseInstitute of General Practice, Hannover Medical School, Hannover, Germany. wiese.birgitt@mh-hannover.de.
Jana ProkeinInstitute of General Practice, Hannover Medical School, Hannover, Germany. Prokein.Jana@mh-hannover.de.
Siegfried WeyererCentral Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany. siegfried.weyerer@zi.mannheim.de.
Jochen WerleCentral Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany. jochen.werle@zi-mannheim.de.
Michael PentzekInstitute of General Practice, Medical Faculty Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany. Pentzek@med.uni-duesseldorf.de.
Angela FuchsInstitute of General Practice, Medical Faculty Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany. angela.fuchs@med.uni-duesseldorf.de.
Tobias LuckInstitute of Social Medicine, Occupational Health and Public Health, University of Leipzig, Leipzig, Germany. Tobias.Luck@medizin.uni-leipzig.de.
Horst BickelDepartment of Psychiatry, Technical University of Munich, Munich, Germany. h.bickel@lrz.tu-muenchen.de.
Edelgard MöschDepartment of Psychiatry, Technical University of Munich, Munich, Germany. moesch@lrz.tu-muenchen.de.
Kathrin HeserDepartment of Psychiatry, University of Bonn, Bonn, Germany. Kathrin.Heser@ukb.uni-bonn.de.
Michael WagnerDepartment of Psychiatry, University of Bonn, Bonn, Germany. michael.wagner@uni-bonn.de.
Wolfgang MaierDepartment of Psychiatry, University of Bonn, Bonn, Germany. wolfgang.maier@ukb.uni-bonn.de.
Martin SchererDepartment of Primary Medical Care, Center for Psychosocial Medicine, University Medical Center, Hamburg-Eppendorf, Hamburg, Germany. m.scherer@uke.de.
Steffi G Riedel-HellerInstitute of Social Medicine, Occupational Health and Public Health, University of Leipzig, Leipzig, Germany. steffi.riedel-heller@medizin.uni-leipzig.de.
Hans-Helmut KönigDepartment of Health Economics and Health Services Research, University Medical Center Hamburg-Eppendorf, Hamburg, Germany. h.koenig@uke.de.
AgeCoDe Study Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMean body weight gradually increases with age. Yet, little data exists on the prevalence of excess weight in populations aged 80 years or older. Moreover, little is known about predictors of overweight and obesity in old age. Thus, the purpose of this study was: To present data on the prevalence of excess weight in old age in Germany, to investigate predictors of excess weight in a cross-sectional approach and to examine factors affecting excess weight in a longitudinal approach.

methodsSubjects consisted of 1,882 individuals aged 79 years or older. The course of excess weight was observed over 3 years. Excess weight was defined as follows: Overweight (25 kg/m(2) ≤ BMI < 30 kg/m(2)) and obesity (BMI ≥ 30 kg/m(2)). We used fixed effects regressions to estimate effects of time dependent variables on BMI, and overweight or obesity, respectively.

resultsThe majority was overweight (40.0%) or obese (13.7%). Cross-sectional regressions revealed that BMI was positively associated with younger age, severe walking impairments and negatively associated with cognitive impairments. Excess weight was positively associated with younger age, elementary education, walking impairments and physical inactivity, while excess weight was negatively associated with cognitive impairment. Longitudinal regressions showed that age and severely impaired walking disabilities reduced BMI. The probability of transitions to excess weight decreased considerably with older age and occurrence of severe walking impairments (overweight).

conclusionsMarked differences between predictors in cross- and longitudinal setting exist, underlining the complex nature of excess weight in old age.

Indexed as

CognitionCognition DisordersMobility LimitationMotor ActivityObesityAgedAged, 80 and overBody Mass IndexCausalityConfounding Factors, EpidemiologicCross-Sectional StudiesFemaleGermanyHumansLongitudinal StudiesMale

Identifiers

PMID26170016
PMCPMC4499904

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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.