Evidence map›Paper›PMID 20087630›Full record

ArticleEuropean journal of epidemiology2010

Body mass index and disease burden in elderly men and women: the Tromsø Study.

Jan-Magnus Kvamme, Tom Wilsgaard, Jon Florholmen, Bjarne K Jacobsen

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Article in European journal of epidemiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. The hip fracture incidence in the high-risk area Oslo continues to decline.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2024
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  18. The Generation R Study: design and cohort update 2012.European journal of epidemiology · 2012
    Article
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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

4 authors.

Jan-Magnus KvammeDepartment of Community Medicine, Faculty of Health Sciences, University of Tromsø, Tromsø, Norway. jan-magnus.kvamme@uit.no
Tom Wilsgaard
Jon Florholmen
Bjarne K Jacobsen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic health problems may be related to body mass index (BMI, kg/m(2)), but this has been best documented in overweight and obese adults. The primary objective of this study was to identify factors associated with different categories of BMI in elderly men and women from the general population, also including the lower categories of BMI. In a cross-sectional population survey from the municipality of Tromsø, Norway we analyzed associations between BMI and a wide range of chronic disease conditions, lifestyle and socioeconomic factors. BMI was categorized into six groups (<20, 20.0-22.4, 22.5-24.9, 25.0-27.4, 27.5-29.9, > or =30.0 kg/m(2)). The study included 4,259 men and women aged 65 years and older from the general population. We found low relative weight (BMI < 20 kg/m(2)) to be associated with increasing prevalence of mental distress, hip fracture, smoking and low handgrip strength. A U-shaped relation to BMI was found for asthma and chronic bronchitis, poor current health and low physical activity. The higher categories of BMI were associated with low education level, a difficult economical situation, diabetes mellitus and ischemic heart disease. These results demonstrate that both low and high BMI are associated with a wide range of prevalent conditions and diseases in elderly men and women. For the clinician the findings emphasize the importance of nutritional assessment as part of the medical evaluation of elderly patients.

Indexed as

Body Mass IndexCost of IllnessAgedChronic DiseaseCross-Sectional StudiesFemaleHumansLife StyleMaleNorwayOdds RatioSocioeconomic Factors

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Registered trials

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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.