BACKGROUND: Blood platelet counts (PCs) play a role in the development of cardiovascular disease (CVD). The metabolic syndrome (MS) is also associated with high CVD risk. However, the connection between PCs and MS has not yet been thoroughly investigated in relation to various biosocial factors that can affect both PCs and the pathophysiology of MS. METHODS: A total of 152 asymptomatic female subjects (mean age 50 years) with almost normal levels of hemoglobin and white blood cell counts were recruited. MS was diagnosed according to the NCEP-ATP III criteria with a minor modification. The relationships between PCs and MS were analyzed according to the number of MS components (0, 1-2, > or =3). Biosocial factors including age and some lifestyle factors (smoking, alcohol intake and physical activity) were included in the analyses. RESULTS: PCs in subjects with > or =3 MS components (233+/-43 [SD]x10(9) /L) were strikingly and significantly higher than in subjects with 0 (194+/-34 x 10(9)/L) or 1-2 MS components (207+/-38 x 10(9)/L). General linear model analysis for PCs, adjusted for all biosocial factors and number of MS components, revealed a significant and positive correlation between PCs and number of MS components (p<0.0001). CONCLUSIONS: The results suggest that PCs may be a potential marker associated with clustered MS components, independent of some biosocial factors, in Japanese females.
BACKGROUND: Blood platelet counts (PCs) play a role in the development of cardiovascular disease (CVD). The metabolic syndrome (MS) is also associated with high CVD risk. However, the connection between PCs and MS has not yet been thoroughly investigated in relation to various biosocial factors that can affect both PCs and the pathophysiology of MS. METHODS: A total of 152 asymptomatic female subjects (mean age 50 years) with almost normal levels of hemoglobin and white blood cell counts were recruited. MS was diagnosed according to the NCEP-ATP III criteria with a minor modification. The relationships between PCs and MS were analyzed according to the number of MS components (0, 1-2, > or =3). Biosocial factors including age and some lifestyle factors (smoking, alcohol intake and physical activity) were included in the analyses. RESULTS: PCs in subjects with > or =3 MS components (233+/-43 [SD]x10(9) /L) were strikingly and significantly higher than in subjects with 0 (194+/-34 x 10(9)/L) or 1-2 MS components (207+/-38 x 10(9)/L). General linear model analysis for PCs, adjusted for all biosocial factors and number of MS components, revealed a significant and positive correlation between PCs and number of MS components (p<0.0001). CONCLUSIONS: The results suggest that PCs may be a potential marker associated with clustered MS components, independent of some biosocial factors, in Japanese females.
Authors: Tatiana E Suslova; Alexei V Sitozhevskii; Oksana N Ogurkova; Elena S Kravchenko; Irina V Kologrivova; Yana Anfinogenova; Rostislav S Karpov Journal: Front Physiol Date: 2015-01-05 Impact factor: 4.566