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Universal screening for cardiovascular disease risk factors in adolescents to identify high-risk families: a population-based cross-sectional study

Overview of attention for article published in BMC Pediatrics, January 2016
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Title
Universal screening for cardiovascular disease risk factors in adolescents to identify high-risk families: a population-based cross-sectional study
Published in
BMC Pediatrics, January 2016
DOI 10.1186/s12887-016-0548-3
Pubmed ID
Authors

Michael Khoury, Cedric Manlhiot, Don Gibson, Nita Chahal, Karen Stearne, Stafford Dobbin, Brian W. McCrindle

Abstract

Universal screening of children for dyslipidemia and other cardiovascular risk factors has been recommended. Given the clustering of cardiovascular risk factors within families, one benefit of screening adolescents may be to identify "at-risk" families in which adult members might also be at elevated risk and potentially benefit from medical evaluation. Cross-sectional study of grade 9 students evaluating adiposity, lipids and blood pressure. Data collected by Heart Niagara Inc. through the Healthy Heart Schools' Program. Parents completed questionnaires, evaluating family history of dyslipidemia, hypertension, diabetes and early cardiovascular disease events in parents and siblings (first-degree relatives), and grandparents (second-degree relatives). Associations between positive risk factor findings in adolescents and presence of a positive family history were assessed in logistic regression models. N = 4014 adolescents ages 14-15 years were screened; 3467 (86 %) provided family medical history. Amongst adolescents, 4.7 % had dyslipidemia, 9.5 % had obesity, and 3.5 % had elevated blood pressure. Central adiposity (waist-to-height ratio ≥0.5) in the adolescent was associated with increased odds of diabetes in first- (OR:2.0 (1.6-2.6), p < 0.001) and second-degree relatives (OR:1.3 (1.1-1.6), p = 0.002). Dyslipidemia was associated with increased odds of diabetes (OR:1.6 (1.1-2.3), p < 0.001), hypertension (OR:2.2 (1.5-3.2), p < 0.001) and dyslipidemia (OR:2.2 (1.5-3.2),p < 0.001) in first degree relatives. Elevated blood pressure did not identify increased odds of a positive family history. Presence of obesity and/or dyslipidemia in adolescents identified through a universal school-based screening program is associated with risk factor clustering within families. Universal pediatric cardiometabolic screening may be an effective entry into reverse cascade screening.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
Ecuador 1 1%
Unknown 88 98%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 13 14%
Researcher 12 13%
Student > Master 10 11%
Student > Bachelor 10 11%
Professor 8 9%
Other 21 23%
Unknown 16 18%
Readers by discipline Count As %
Medicine and Dentistry 37 41%
Nursing and Health Professions 13 14%
Agricultural and Biological Sciences 3 3%
Biochemistry, Genetics and Molecular Biology 3 3%
Sports and Recreations 2 2%
Other 8 9%
Unknown 24 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 February 2016.
All research outputs
#18,616,159
of 23,881,329 outputs
Outputs from BMC Pediatrics
#2,364
of 3,143 outputs
Outputs of similar age
#274,865
of 399,986 outputs
Outputs of similar age from BMC Pediatrics
#24
of 36 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,143 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one is in the 22nd percentile – i.e., 22% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 399,986 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.