Cardiovascular Risk Factors in 7-13 Years Old Children from Vojvodina (Serbia)

Adolescent cardiometabolic risk scores: A scoping review

AIMS

Clustering 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 SYNTHESIS

Systematic 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.

CONCLUSIONS

The 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.

Clustering and Tracking the Stability of Biological CVD Risk Factors in Adolescents: The Malaysian Health and Adolescents Longitudinal Research Team Study (MyHeARTs)

Background: Cardiovascular disease (CVD) risk factors tend to cluster and progress from adolescence to young adulthood. Reliable and meaningful clustering of CVD risk factors is essential to circumvent loss of information. Tracking adverse and high-risk profiles of adolescents is hoped to curb CVD progression later in life. The study aims to investigate the clustering of biological CVD risk factor among adolescents in Malaysia and the transitions between clusters over time.

Method: The Malaysian Health and Adolescents Longitudinal Research Team study (MyHeARTs) examined school students aged 13 in 2012 and re-examined them in 2014 and 2016. In a two-stage stratified cluster sampling, 1,361 students were recruited, of which, 1,320 had complete data. In the follow-up, there were 881 and 637 students in 2014 and in 2016, respectively. Pearson's correlation coefficients were used to identify and remove highly correlated CVD risk factors. All risk factors were standardized into z-scores. The hierarchical and non-hierarchical (k-means) cluster analyses were used to classify students into high, medium and low risk clusters in each screening year. The tracking and stability of cluster transitions through cross-classification were enumerated with Pearson's inter-age correlations and percentages.

Results: Three significant clusters of high, medium and low risk groups were derived from the clustering of eight biological CVD risk factors. The transitions between risk clusters from one screening year to the other were categorized as either stagnant, improved or adverse. The number of students who had adverse transitions increased from 15.5% (13–15 year) to 19.5% (15–17 year), 13.8 to 18.2% among the girls and 19.9 to 22.8% among the boys. For girls, the number of them who remained at high risk over the two transition periods were about the same (13.6 vs. 13.8%) whereas for boys, the percentage reduced from 14.6 to 12.3%.

Conclusion: Over time, more than 12% of adolescents remained in the high risk cluster. There were sizable adverse transitions over time as more adolescents appear to be shifting toward an increased risk of having CVD. Collaborative and constant measures should be taken by parents, school, health promotion boards and policy makers to curb the multiplicative effect of clustering CVD risk factors among adolescents.

High-sensitivity Troponins after a Standardized 2-hour Treadmill Run

BACKGROUND

The aim of this study was to examine high-sensitivity troponin T and I (hsTnT and hsTnI) after a treadmill run under laboratory conditions and to find a possible connection with echocardiographic, laboratory and other assessed parameters.

METHODS

Nineteen trained men underwent a standardized 2-hour-long treadmill run. Concentrations of hsTnT and hsTnI were assessed before the run, 60, 120 and 180 minutes after the start and 24 hours after the run. Changes in troponins were tested using non-parametric analysis of variance (ANOVA). The multiple linear regression model was used to find the explanatory variables for hsTnT and hsTnI changes. Values of troponins were evaluated using the 0h/1h algorithm.

RESULTS

Changes in hsTnT and hsTnI levels were statistically significant (p<0.0001 and p<0.0001, respectively). In a multiple regression model (adjusted R2: 0.60, p=0.005 for hsTnT and adjusted R2: 0.60, p=0.005 for hsTnI), changes in both troponins can be explained by relative left wall thickness (LV), training volume, body temperature after the run and creatinine changes. According to the 0h/1h algorithm, none of the runners was evaluated as negative.

CONCLUSIONS

Relative LV wall thickness, creatinine changes, training volume and body temperature after the run can predict changes in hsTnT and hsTnI levels. When medical attention is needed after physical exercise, hsTn levels should be tested only when clinical suspicion and the patient's history indicate a high probability of myocardial damage.

Undiagnosed Hyperglycaemia and Hypertension as Indicators of the Various Risk Factors of Future Cardiovascular Disease Among Population of Serbian Students

BACKGROUND

A number of risk behaviours, such as smoking, overweight, excessive alcohol intake, insufficient physical activity, excessive and frequent intake of salt, reduced fruit and vegetable intake, increased fat intake, which constitute living habits of an individual can influence the occurrence of hypertension and hyperglycaemia. The changing of these lifestyles can reduce the risk of developing prehypertension and prediabetes.

METHODS

The survey was conducted at student's campuses. The respondents were subjected to the height, weight, blood glucose and blood pressure. Respondents filled in previously created questionnaire that was approved by the Ethics Committee for Biomedical Research Faculty of Pharmacy, University of Belgrade.

RESULTS

The percentage of respondents with a glucose value above the reference value was 14.6% (n=19), 2.4% (n=3) had values greater than 7 mmol/L without being diagnosed with diabetes, and accordingly, 2.4% (n=3) had elevated HbA1c values (above 42 mmol/mol or 6.0%). The percentage of respondents with elevated systolic and diastolic blood pressure was 14.9% and 7.4% respectively. Regarding calculated risk scores, they showed parallel increase with increas-ing of BMI (HPS), systolic and diastolic pressure (OHS), and glucose concentration (OPS).

CONCLUSIONS

When analysing all the factors that could cause the later development of diabetes, which is associated with hypertension as well, it is observed that the student population is very much exposed to those factors. The results of this study cannot be representative for the general population of students, but they can provide recommendations for further research.