ArticlePloS one2018
Multiple cardiovascular risk factors in adolescents from a middle-income country: Prevalence and associated factors.
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 6 papers.
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Who cites it
6 citing papers in PubMed.
- Have sedentary lifestyles reached even remote parts of the Global South? Evidence from school-going adolescents' time use in India.PloS one · 2026Article
- Comparison of snack characteristics by diet quality findings from a nationally representative study of Australian adolescents.Scientific reports · 2024Article
- Article
- Hypertension in adolescents: The role of obesity and family history.Journal of clinical hypertension (Greenwich, Conn.) · 2021Article
- Coexistence of risk factors for cardiovascular diseases among Brazilian adolescents: Individual characteristics and school environment.PloS one · 2021Article
- Overweight, the Cardiovascular Risk of the Century.Arquivos brasileiros de cardiologia · 2019Article
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Multiple cardiovascular risk factors are directly related to the severity of atherosclerosis, even in children and adolescents. In this context accurate assessment of risk factors at the individual level play a decisive role in cardiovascular disease (CVD) prevention. The objective of this study was to estimate the prevalence of cardiovascular risk factors, the frequency of their coexistence in individuals, and identify possible determinants associated with this coexistence in Brazilian adolescents. A cross-sectional study with 1170 students (12-17 years) from public and private schools of a large city was conducted. In addition to family history, modifiable cardiovascular risk factors were assessed including: tobacco use, alcohol consumption, sedentary lifestyle, overweight/obesity, increased waist circumference, and high blood pressure (office and home). We built a linear regression model to identify determinants associated with increasing number of modifiable risk factors. Mean study population age was 14.7±1.6 years, 67% were enrolled in public schools and 33% in private ones. The majority of the adolescents had at least two risk factors (68.9%), more than 10% had more than 4 risk factors, and in only 6.7% of the sample no risk factor was identified. Family history of CVD (β-coefficient = 1.20; 95%CI 1.07-1.34; p<0.001), increasing age (β-coefficient = 0.08; 95%CI 0.04-0.11; p<0.001), and being enrolled in private schools (β-coefficient = 0.16; 95%CI 0.02-0.30; p = 0.023) were directly associated with the modifiable CV risk factors. In conclusion, the prevalence of multiple cardiovascular risk factors was high in the population of adolescents studied. School based interventions should be addressed to change this scenario.
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