title: Tracking of cardiovascular risk factors and a cohort study on hyperlipidemia in rural schoolchildren in Japan.
abstract: A cohort study was conducted to explore the tracking stability of cardiovascular risk factors and relative risk (RR) of factors relating hyperlipidemia in children. The percentages of children remaining persistently at high risk over a four-year tracking were as follows: body mass index (BMI) 65.0%, total cholesterol (T-c) 60.6%, atherogenic index (AI) 56.4%, high density lipoprotein cholesterol (HDL-c) 50.7%, systolic blood pressure (SBP) 44.2% and diastolic blood pressure (DPB) 39.6%. The order of correlation coefficients over four years was BMI > AI > HDL-c > T-c > SBP > DBP and these coefficients in boys were slightly higher than those in girls. The relative risk (RR) of BMI for AI > or = 3 was elevated (RR=4.36, 95% CI: 1.3-14.1). The incidence and RR for AI > or = 3 increased along with the addition of the selected risk factor number. The RR in children with three selected risk factors rose to 8.39 ( 95% CI: 1.2-38.7 ). The stability of tracking was better for BMI, T-c, AI and HDL-c. As the number of multiple factors increased, so did the RR of higher AI in childhood. These results suggest that preventive activities for hyperlipidemia should be focused on children with multiple cardiovascular risk factors.
authors.affiliation: Department of Hygiene, Faculty of Medicine, Tottori University, Yonago, Japan.
authors.forename: F
authors.initials: F
authors.lastname: Tan
authors.forename: M
authors.initials: M
authors.lastname: Okamoto
authors.forename: A
authors.initials: A
authors.lastname: Suyama
authors.forename: T
authors.initials: T
authors.lastname: Miyamoto
mesh_terms: D002318:Cardiovascular Diseases / Q000453:epidemiology*; D016009:Chi-Square Distribution; D002648:Child; D015331:Cohort Studies; D005260:Female; D006801:Humans; D006949:Hyperlipidemias / Q000453:epidemiology*; D015994:Incidence; D007564:Japan / Q000453:epidemiology; D008019:Life Style; D016015:Logistic Models; D008297:Male; D011159:Population Surveillance / Q000379:methods*; D012307:Risk Factors; D012424:Rural Population / Q000706:statistics & numerical data; D018709:Statistics, Nonparametric