Evidence map›Paper›PMID 35906229›Full record

ArticleNutrition & diabetes2022

Association between circulating 25-hydroxyvitamin D and cardiometabolic risk factors in adults in rural and urban settings.

Camille M Mba, Albert Koulman, Nita G Forouhi, Stephen J Sharp, Fumiaki Imamura, Kerry Jones, Sarah R Meadows, Felix Assah, Jean Claude Mbanya, Nick J Wareham

Open access · goldAbstract read
In one paragraph

Article in Nutrition & diabetes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

12 citing papers in PubMed, 13 citations in OpenAlex.

  1. 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

10 authors at 2 institutions in 2 countries.

Camille M MbaMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom. camille.mba@mrc-epid.cam.ac.uk.ORCID 0000-0001-6186-8944
Albert KoulmanMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom.
Nita G ForouhiMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom.ORCID 0000-0002-5041-248X
Stephen J SharpMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom.
Fumiaki ImamuraMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom.
Kerry JonesMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom.
Sarah R MeadowsMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom.
Felix AssahDepartment of Public Health, Faculty of Medicine and Biomedical Sciences, University of Yaoundé 1, Yaoundé, Cameroon.
Jean Claude MbanyaDepartment of Internal Medicine and Specialties, Faculty of Medicine and Biomedical Sciences, University of Yaoundé 1, Yaoundé, Cameroon.
Nick J WarehamMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom.
University of Cambridge · GBUniversité de Yaoundé I · CM

Funding

Department of Health IS-BRC-1215-20014Medical Research Council MC_UU_00006/1Medical Research Council MC_UU_00006/3
6 · The paper itself

Abstract

backgroundAn inverse association between vitamin D status and cardiometabolic risk has been reported but this relationship may have been affected by residual confounding from adiposity and physical activity due to imprecise measures of these variables. We aimed to investigate the relationship between serum 25-hydroxyvitamin D (25(OH)D) and cardiometabolic risk factors, with adjustment for objectively-measured physical activity and adiposity.

methodsThis was a population-based cross-sectional study in 586 adults in Cameroon (63.5% women). We assessed markers of glucose homoeostasis (fasting blood glucose (BG), 2 h post glucose load BG, HOMA-IR)) and computed a metabolic syndrome score by summing the sex-specific z-scores of five risk components measuring central adiposity, blood pressure, glucose, HDL cholesterol and triglycerides.

resultsMean±SD age was 38.3 ± 8.6 years, and serum 25(OH)D was 51.7 ± 12.5 nmol/L. Mean 25(OH)D was higher in rural (53.4 ± 12.8 nmol/L) than urban residents (50.2 ± 12.1 nmol/L), p = 0.002. The prevalence of vitamin D insufficiency (<50 nmol/L) was 45.7%. There was an inverse association between 25(OH)D and the metabolic syndrome score in unadjusted analyses (β = -0.30, 95% CI -0.55 to -0.05), which became non-significant after adjusting for age, sex, smoking status, alcohol intake and education level. Serum 25(OH)D was inversely associated with fasting BG (-0.21, -0.34 to -0.08)), which remained significant after adjustment for age, sex, education, smoking, alcohol intake, the season of data collection, BMI and physical activity (-0.17, -0.29 to -0.06). There was an inverse association of 25(OH)D with 2-h BG (-0.20, -0.34 to -0.05) and HOMA-IR (-0.12, -0.19 to -0.04) in unadjusted analysis, but these associations became non-significant after adjustment for potential confounders.

conclusionVitamin D insufficiency was common in this population. This study showed an inverse association between vitamin D status and fasting glucose that was independent of potential confounders, including objectively measured physical activity and adiposity, suggesting a possible mechanism through insulin secretion.

Indexed as

Insulin ResistanceMetabolic SyndromeVitamin D DeficiencyAdultBody Mass IndexCalcifediolCardiometabolic Risk FactorsCross-Sectional StudiesFemaleGlucoseHumansMaleMiddle AgedObesityRisk FactorsVitamin D25-hydroxyvitamin DCalcifediolGlucoseVitamin D

Identifiers

PMID35906229
PMCPMC9338254
OpenAlexW4288694930

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.