Evidence map›Paper›PMID 29897925›Full record

ArticlePloS one2018

Longitudinal study of body mass index, dyslipidemia, hyperglycemia, and hypertension in 60,000 men and women in Sweden and Austria.

Mieke Van Hemelrijck, Hanno Ulmer, Gabriele Nagel, Raphael Simon Peter, Josef Fritz, Robin Myte, Bethany van Guelpen, Bernhard Föger, Hans Concin, Christel Häggström and 2 more

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Body mass index and cognitive decline among community-living older adults: the modifying effect of physical activity.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2022
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Observational
  13. Obesity-induced sympathoexcitation is associated with Nrf2 dysfunction in the rostral ventrolateral medulla.American journal of physiology. Regulatory, integrative and comparative physiology · 2020
    Article
  14. Observational
  15. Review
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

12 authors.

Mieke Van HemelrijckKing's College London, Division of Cancer Studies, Translational Oncology & Urology Research, London, United Kingdom.
Hanno UlmerMedical University Innsbruck, Department of Medical Statistics, Informatics, and Health Economics, Innsbruck, Austria.
Gabriele NagelUlm University, Institute of Epidemiology and Medical Biometry, Ulm, Germany.
Raphael Simon PeterUlm University, Institute of Epidemiology and Medical Biometry, Ulm, Germany.ORCID 0000-0003-4310-9500
Josef FritzMedical University Innsbruck, Department of Medical Statistics, Informatics, and Health Economics, Innsbruck, Austria.
Robin MyteUmeå University, Department of Radiation Sciences, Umeå, Sweden.
Bethany van GuelpenUmeå University, Department of Radiation Sciences, Umeå, Sweden.
Bernhard FögerAgency for Preventive and Social Medicine, Bregenz, Austria.
Hans ConcinAgency for Preventive and Social Medicine, Bregenz, Austria.
Christel HäggströmUmeå University, Department of Biobank Research, Umeå, Sweden.
Pär StattinUppsala University, Department of Surgical Sciences, Uppsala, Sweden.
Tanja StocksLund University, Department of Clinical Sciences Malmö, Malmö, Sweden.ORCID 0000-0002-0904-0557

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObesity is suggested to underlie development of other metabolic aberrations, but longitudinal relationships between metabolic factors at various ages has not been studied in detail.

methodsData from 27,379 men and 32,275 women with in total 122,940 health examinations in the Västerbotten Intervention Project, Sweden and the Vorarlberg Health Monitoring and Prevention Programme, Austria were used to investigate body mass index (BMI), mid-blood pressure, and fasting levels of glucose, triglycerides, and total cholesterol at baseline in relation to 10-year changes of these factors and weight. We included paired examinations performed 10±2 years apart and used them for longitudinal analysis with linear regression of changes between the ages 30 and 40, 40 and 50, or 50 and 60 years.

resultsHigher levels of BMI were associated with increases in glucose and mid-blood pressure as well as triglycerides levels, and, to a lesser extent, decreases in cholesterol levels. For instance, per 5 kg/m2 higher BMI at age 40, glucose at age 50 increased by 0.24 mmol/l (95%CI: 0.22-0.26) and mid-blood pressure increased by 1.54 mm Hg (95%CI: 1.35-1.74). The strongest association observed was between BMI at age 30 and mid-blood pressure, which was 2.12 mm Hg (95% CI: 1.79-2.45) increase over ten years per 5 kg/m2 higher BMI level. This association was observed at an age when blood pressure levels on average remained stable. Other associations than those with BMI at baseline were much weaker. However, triglyceride levels were associated with future glucose changes among individuals with elevated BMI, particularly in the two older age groups.

conclusionBMI was most indicative of long-term changes in metabolic factors, and the strongest impact was observed for increases in blood pressure between 30 and 40 years of age. Our study supports that lifestyle interventions preventing metabolic aberrations should focus on avoiding weight increases.

Indexed as

Body Mass IndexAdultAustriaDyslipidemiasFemaleHumansHyperglycemiaHypertensionLongitudinal StudiesMaleMiddle AgedSweden

Identifiers

PMID29897925
PMCPMC5999071

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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.