BackgroundLipoprotein-associated phospholipase A2 activity (Lp-PLA2) is a good marker of cardiovascular risk in adults. It is strongly associated with stroke and many others cardiovascular events. Despite this, the impact of obesity on this enzyme activity and its relation to biomarkers of cardiovascular disease in adolescents is not very well investigated. The purpose of this article is to evaluate the influence of obesity and cardiometabolic markers on Lp-PLA2 activity in adolescents.ResultsThis cross-sectional study included 242 adolescents (10–19 years) of both gender. These subjects were classified in Healthy Weight (n = 77), Overweight (n = 82) and Obese (n = 83) groups. Lipid profile, glucose, insulin, HDL size, LDL(−) and anti-LDL(−) antibodies were analyzed. The Lp-PLA2 activity was determined by a colorimetric commercial kit. Body mass index (BMI), waist circumference and body composition were monitored. Food intake was evaluated using three 24-hour diet recalls. The Lp-PLA2 activity changed in function to high BMI, waist circumference and fat mass percentage. It was also positively associated with HOMA-IR, glucose, insulin and almost all variables of lipid profile. Furthermore, it was negatively related to Apo AI (β = −0.137; P = 0.038) and strongly positively associated with Apo B (β = 0.293; P < 0.001) and with Apo B/Apo AI ratio (β = 0.343; P < 0.001). The better predictor model for enzyme activity, on multivariate analysis, included Apo B/Apo AI (β = 0.327; P < 0.001), HDL size (β = −0.326; P < 0.001), WC (β = 0.171; P = 0.006) and glucose (β = 0.119; P = 0.038). Logistic regression analysis demonstrated that changes in Apo B/Apo AI ratio were associated with a 73.5 times higher risk to elevated Lp-PLA2 activity.ConclusionsLp-PLA2 changes in function of obesity, and that it shows important associations with markers of cardiovascular risk, in particular with waist circumference, glucose, HDL size and Apo B/Apo AI ratio. These results suggest that Lp-PLA2 activity can be a cardiovascular biomarker in adolescence.

In Germany there are only insufficient data both with regard to general morbidity events as well as with regard to the effects of specific professions on the morbidity process. For this reason the data of the Gmuender Ersatzkasse (GEK) have been analysed with a longitudinal design for the period 1990 to 2003. Our sample includes all employed members of the GEK who had been insured as of January 1, 1990 and were between 30 and 59 years old at this baseline. The total sample comprises 129,173 men and 13,567 women. The statistical analysis was performed with the statistical package "Transitional Data Analysis" (TDA) which was developed especially for longitudinal data. The analysis includes both cumulated morbidity rates as well as transition rates (Cox regression). The analysis shows that the cumulated morbidity rates of the seven diseases are higher for women than for men in the age category 30-39 years. In the age categories 40-49 and 50-59 years the cumulated morbidity rates are higher for men than for women. With regard to the occupations, the highest morbidity rates are found for manual occupations and services without special skills. The lowest rates are found for professions with high skills, engineers and managers. The results of the longitudinal analysis show distinctive social gradients. For occupations with lower skills the morbidity rates are about 100 percent higher than those of occupations with higher skills. Longitudinal analyses on the basis of health insurance fund data can make an important contribution to the monitoring of health and morbidity and should therefore be conducted also by other health insurance funds.