Evidence map›Paper›PMID 31201190›Full record

ArticleBMJ open2019

Change in prevalence and severity of metabolic syndrome in the Sami and non-Sami population in rural Northern Norway using a repeated cross-sectional population-based study design: the SAMINOR Study.

Vilde L Michalsen, Kirsti Kvaløy, Johan Svartberg, Susanna R A Siri, Marita Melhus, Ann R Broderstad

Abstract readMulticenter Study
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 3 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

14 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Sleep duration is associated with metabolic syndrome in adolescents and children: a systematic review and meta-analysis.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2023
    Pooled it
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  9. How Neoliberalism Shapes Indigenous Oral Health Inequalities Globally: Examples from Five Countries.International journal of environmental research and public health · 2020
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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

6 authors.

Vilde L MichalsenDepartment of Community Health, Centre for Sami Health Research, UiT The Arctic University of Norway, Tromsø, Norway.ORCID 0000-0003-0768-1032
Kirsti KvaløyDepartment of Community Health, Centre for Sami Health Research, UiT The Arctic University of Norway, Tromsø, Norway.
Johan SvartbergDivision of Internal Medicine, University Hospital of North Norway, Tromsø, Norway.
Susanna R A SiriDepartment of Community Health, Centre for Sami Health Research, UiT The Arctic University of Norway, Tromsø, Norway.
Marita MelhusDepartment of Community Health, Centre for Sami Health Research, UiT The Arctic University of Norway, Tromsø, Norway.
Ann R BroderstadDepartment of Community Health, Centre for Sami Health Research, UiT The Arctic University of Norway, Tromsø, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo examine the change in both the prevalence and severity of metabolic syndrome (MetS) in the Sami and non-Sami in Northern Norway due to a lack of knowledge regarding the development of MetS in this population.

designRepeated cross-sectional study.

settingThe study is based on data from the SAMINOR 1 Survey (2003-2004, n=6550) and the SAMINOR 2 Clinical Survey (2012-2014, n=6004), conducted in 10 municipalities in Northern Norway.

participantsMen and women aged 40-79 years were invited. We excluded participants not handing in the questionnaire and with missing information concerning ethnicity questions or MetS risk factors resulting in a final sample of 6308 (36.0% Sami) subjects in SAMINOR 1 and 5866 (40.9% Sami) subjects in SAMINOR 2. OUTCOME MEASURES: MetS prevalence was determined using the harmonised Adult Treatment Panel III (ATP-III) criteria, and severity was assessed with the MetS severity Z-score. Generalised estimating equations with an interaction term (survey × ethnicity) were used to compare prevalence and severity between the two surveys while accounting for partly repeated measurements.

resultsThe overall, age-standardised ATP-III-MetS prevalence was 31.2% (95% CI: 29.8 to 32.6) in SAMINOR 1 and 35.6% (95% CI: 34.0 to 37.3) in SAMINOR 2. Both the ATP-III-MetS prevalence and the mean MetS severity Z-score increased between the surveys in all subgroups, except the ATP-III-MetS prevalence in non-Sami women, which remained stable. Over time, Sami men showed a slightly larger increase in MetS severity than non-Sami men (p<0.001): the score increased by 0.20 (95% CI: 0.14 to 0.25) and 0.06 (95% CI: 0.01 to 0.10) in Sami and non-Sami men, respectively. Abdominal obesity increased markedly between the surveys in all subgroups.

conclusionThe prevalence and severity of MetS increased over time in rural Northern Norway. Abdominal obesity appeared to drive the increase in ATP-III-MetS prevalence. Sami men had a slightly larger increase in severity than non-Sami.

Indexed as

AdultAgedAge DistributionCross-Sectional StudiesFemaleHumansMaleMetabolic SyndromeMiddle AgedNorwayPrevalenceRural HealthSex Distributionpreventive medicinepublic health

Identifiers

PMID31201190
PMCPMC6576075

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LicenceCC BY-NC
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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.