Evidence map›Paper›PMID 26878491›Full record

ArticleHealth promotion and chronic disease prevention in Canada : research, policy and practice2016

Socioeconomic gradients in cardiovascular risk in Canadian children and adolescents.

Y Shi, M de Groh, C Bancej

Open access · diamondAbstract read
In one paragraph

Article in Health promotion and chronic disease prevention in Canada : research, policy and practice, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.5field-weighted citation impact, top 15% 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

8 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
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  3. Relationships between Socioeconomic Indicators and Motor Performance of Schoolchildren in Slovakia.International journal of environmental research and public health · 2021
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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

3 authors at 1 institution in 1 country.

Y ShiSocial Determinants and Science Integration Directorate, Health Promotion and Chronic Disease Prevention Branch, Public Health Agency of Canada, Ottawa, Ontario, Canada.
M de GrohSocial Determinants and Science Integration Directorate, Health Promotion and Chronic Disease Prevention Branch, Public Health Agency of Canada, Ottawa, Ontario, Canada.
C BancejSocial Determinants and Science Integration Directorate, Health Promotion and Chronic Disease Prevention Branch, Public Health Agency of Canada, Ottawa, Ontario, Canada.
Public Health Agency of Canada · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCardiovascular disease (CVD) and its risk factors show clear socioeconomic gradients in Canadian adults. Whether socioeconomic gradients in cardiovascular risk emerge in childhood remains unclear. The objective of this study was to determine whether there are socioeconomic gradients in physiological markers of CVD risk in Canadian children and adolescents.

methodsUsing combined cross-sectional data from the Canadian Health Measures Survey 2007-2011, we examined the following cardiovascular risk markers: overweight (including obesity), aerobic fitness score (AFS), blood pressure (BP), blood lipids (total as well as HDL and LDL cholesterol and triglycerides), glucose metabolism and C-reactive protein (CRP) by sex in 2149 children (ages 6-11 years) and 2073 adolescents (ages 12-17 years). Multivariate linear and logistic regression analyses were used to identify patterns in cardiovascular risk across strata of household income adequacy and parental educational attainment, adjusting for age and ethnicity, and stratified by age group and sex.

resultsYoung boys showed markedly higher prevalence of obesity than young girls (prevalence of 18.5%, 95% confidence interval [CI]: 15.6-21.5 vs. 7.7%, 95% CI: 5.2-10.3). However, negative SES gradients in adiposity risk were seen in young and adolescent girls rather than boys. Young and adolescent boys were more physically fit than girls (mean AFS of 541, 95% CI: 534-546 vs. 501, 95% CI: 498-505 in children; 522, 95% CI: 514-529 vs. 460, 95% CI: 454-466 in adolescents; p < 001). Although a positive income gradient in AFS was observed in both boys and girls, statistical significance was reached only in girls (p =.006). A negative gradient of parental education in BP was observed in young children. While we observed substantial sex differences in systolic BP, total and HDL cholesterol, fasting glucose and CRP in adolescents, sex-specific socioeconomic gradients were only observed for systolic BP, HDL and LDL cholesterol. Further studies with large samples are needed to confirm these findings.

conclusionThis study identified important sex difference and socioeconomic gradients in adiposity, aerobic fitness and physiological markers of CVD risk in Canadian school-aged children. Population health interventions to reduce socioeconomic gradients in CVD risk should start in childhood, with a particular focus on preventing obesity in young boys of all SES and girls of low SES, promoting physical fitness especially in girls and in all ages of youth in low-SES groups, and increasing parental awareness, especially those with low educational attainment, of early CVD risks in their children.

Indexed as

Cardiovascular DiseasesOverweightAdolescentBlood GlucoseBody Mass IndexCanadaChildCholesterol, LDLC-Reactive ProteinCross-Sectional StudiesExercise TestFemaleHealth SurveysHumansMaleNeeds AssessmentBlood GlucoseCholesterol, LDLC-Reactive ProteinCanadian Health Measures Surveycardiovascular riskchildren and adolescentsobesityphysical fitness,socioeconomic gradientssocioeconomic status

Identifiers

PMID26878491
PMCPMC4910426
OpenAlexW2414709242

What OpenQuestion holds

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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.