Adolescent cardiometabolic risk scores: A scoping review |
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Affiliation: | 1. School of Medicine University of St Andrews, North Haugh, St Andrews, United Kingdom;2. Neuroscience and Mental Health, The Hospital for Sick Children, Toronto, Canada;3. Department of Pediatrics, University of Toronto, Labatt Family Heart Centre, The Hospital for Sick Children, Toronto, Canada;4. Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Canada |
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Abstract: | AimsClustering of cardiometabolic risk factors (CMRFs) indicates cardiometabolic risk (CMR), a key driver of cardiovascular disease. Early detection and treatment of CMR are important to decrease this risk. To facilitate the identification of individuals at risk, CMRFs are commonly combined into a CMR Score. This scoping review aims to identify CMRFs and methods used to calculate adolescent CMR Scores.Data synthesisSystematic searches were executed in Child Development and Adolescent Studies, Ovid MEDLINE, Ovid EMBASE, Ovid PsycINFO, EBSCO CINAHL, Scopus Elsevier, Cochrane CENTRAL, and Nursing and Allied Health. No limits were placed on publication date or geographic location. Studies were included if participants were 10–19 years and the study reported CMRFs in a composite score. Key extracted information included participant characteristics, CMRFs comprising the scores, and methods of score calculation. CMRFs were categorized and data were reported as frequencies. This study identified 170 studies representing 189 CMR Scores. The most common CMRF categories were related to lipids, blood pressure, and adiposity. The most frequent CMRFs were triglyceride z-score, systolic blood pressure z-score, and inverse high-density lipoproteins z-score. Scores were mostly calculated by summing CMRF z-scores without weighting.ConclusionsThe range of CMRFs and Scores identified in adolescent CMR literature limits their use and interpretation. Published CMR Scores commonly contain two main limitations: (a) use of an internal cohort as the z-score reference population, and (b) Scores relying on adiposity measures. We highlight the need for a standard set of CMRFs and a consensus for a CMR Score for adolescents. |
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Keywords: | Adolescents Scoping review Cardiometabolic risk factors Cardiometabolic risk scores Obesity CMRFs" },{" #name" :" keyword" ," $" :{" id" :" kwrd0040" }," $$" :[{" #name" :" text" ," _" :" Cardiometabolic Risk Factors CMR" },{" #name" :" keyword" ," $" :{" id" :" kwrd0050" }," $$" :[{" #name" :" text" ," _" :" Cardiometabolic Risk FRS" },{" #name" :" keyword" ," $" :{" id" :" kwrd0060" }," $$" :[{" #name" :" text" ," _" :" Framingham Risk Score CVD" },{" #name" :" keyword" ," $" :{" id" :" kwrd0070" }," $$" :[{" #name" :" text" ," _" :" Cardiovascular Disease SBP" },{" #name" :" keyword" ," $" :{" id" :" kwrd0080" }," $$" :[{" #name" :" text" ," _" :" Systolic Blood Pressure DBP" },{" #name" :" keyword" ," $" :{" id" :" kwrd0090" }," $$" :[{" #name" :" text" ," _" :" Diastolic Blood Pressure HDL" },{" #name" :" keyword" ," $" :{" id" :" kwrd0100" }," $$" :[{" #name" :" text" ," _" :" High-Density Lipoproteins MetS" },{" #name" :" keyword" ," $" :{" id" :" kwrd0110" }," $$" :[{" #name" :" text" ," _" :" Metabolic Syndrome cMetS" },{" #name" :" keyword" ," $" :{" id" :" kwrd0120" }," $$" :[{" #name" :" text" ," _" :" Continuous Metabolic Syndrome Score BD" },{" #name" :" keyword" ," $" :{" id" :" kwrd0130" }," $$" :[{" #name" :" text" ," _" :" Bipolar Disorders MDD" },{" #name" :" keyword" ," $" :{" id" :" kwrd0140" }," $$" :[{" #name" :" text" ," _" :" Major Depression Disorder AHA" },{" #name" :" keyword" ," $" :{" id" :" kwrd0150" }," $$" :[{" #name" :" text" ," _" :" American Heart Association Pathological Determinations of Atherosclerosis in Youth Risk Score" },{" #name" :" keyword" ," $" :{" id" :" kwrd0160" }," $$" :[{" #name" :" text" ," _" :" PDAY Risk Score |
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