Tracking of Serum Lipid Levels, Blood Pressure, and Body Mass Index from Childhood to Adulthood: The Cardiovascular Risk in Young Finns Study
To examine tracking and predictiveness of childhood lipid levels, blood pressure, and body mass index for risk profile in adulthood and the best age to measure the childhood risk factor levels. Study subjects were participants of the longitudinal Cardiovascular Risk in Young Finns Study, started in...
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Published in | The Journal of pediatrics Vol. 159; no. 4; pp. 584 - 590 |
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Main Authors | , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Maryland Heights, MO
Mosby, Inc
01.10.2011
Elsevier |
Subjects | |
Online Access | Get full text |
ISSN | 0022-3476 1097-6833 1097-6833 |
DOI | 10.1016/j.jpeds.2011.03.021 |
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Abstract | To examine tracking and predictiveness of childhood lipid levels, blood pressure, and body mass index for risk profile in adulthood and the best age to measure the childhood risk factor levels.
Study subjects were participants of the longitudinal Cardiovascular Risk in Young Finns Study, started in 1980 (age 3, 6, 9, 12, 15, and 18 years). A total of 2204 subjects participated to the 27-year follow-up in 2007 (age, 30 to 45 years).
In both sex groups and in all age groups, childhood risk factors were significantly correlated with levels in adulthood. The correlation coefficients for cholesterol levels and body mass index were 0.43 to 0.56 (
P < .0001), and for blood pressure and triglyceride levels, they were 0.21 to 0.32 (
P < .0001). To recognize children with abnormal adult levels, the National Cholesterol Education Program and the National High Blood Pressure Education Program cutoff points for lipid and blood pressure values and international cutoff points for overweight and obesity were used. Age seemed to affect associations. The best sensitivity and specificity rates were observed in 12- to 18-year-old subjects.
Childhood blood pressure, serum lipid levels, and body mass index correlate strongly with values measured in middle age. These associations seemed to be stronger with increased age at measurements. |
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AbstractList | OBJECTIVES: To examine tracking and predictiveness of childhood lipid levels, blood pressure, and body mass index for risk profile in adulthood and the best age to measure the childhood risk factor levels. STUDY DESIGN: Study subjects were participants of the longitudinal Cardiovascular Risk in Young Finns Study, started in 1980 (age 3, 6, 9, 12, 15, and 18 years). A total of 2204 subjects participated to the 27-year follow-up in 2007 (age, 30 to 45 years). RESULTS: In both sex groups and in all age groups, childhood risk factors were significantly correlated with levels in adulthood. The correlation coefficients for cholesterol levels and body mass index were 0.43 to 0.56 (P < .0001), and for blood pressure and triglyceride levels, they were 0.21 to 0.32 (P < .0001). To recognize children with abnormal adult levels, the National Cholesterol Education Program and the National High Blood Pressure Education Program cutoff points for lipid and blood pressure values and international cutoff points for overweight and obesity were used. Age seemed to affect associations. The best sensitivity and specificity rates were observed in 12- to 18-year-old subjects. CONCLUSIONS: Childhood blood pressure, serum lipid levels, and body mass index correlate strongly with values measured in middle age. These associations seemed to be stronger with increased age at measurements. To examine tracking and predictiveness of childhood lipid levels, blood pressure, and body mass index for risk profile in adulthood and the best age to measure the childhood risk factor levels. Study subjects were participants of the longitudinal Cardiovascular Risk in Young Finns Study, started in 1980 (age 3, 6, 9, 12, 15, and 18 years). A total of 2204 subjects participated to the 27-year follow-up in 2007 (age, 30 to 45 years). In both sex groups and in all age groups, childhood risk factors were significantly correlated with levels in adulthood. The correlation coefficients for cholesterol levels and body mass index were 0.43 to 0.56 ( P < .0001), and for blood pressure and triglyceride levels, they were 0.21 to 0.32 ( P < .0001). To recognize children with abnormal adult levels, the National Cholesterol Education Program and the National High Blood Pressure Education Program cutoff points for lipid and blood pressure values and international cutoff points for overweight and obesity were used. Age seemed to affect associations. The best sensitivity and specificity rates were observed in 12- to 18-year-old subjects. Childhood blood pressure, serum lipid levels, and body mass index correlate strongly with values measured in middle age. These associations seemed to be stronger with increased age at measurements. To examine tracking and predictiveness of childhood lipid levels, blood pressure, and body mass index for risk profile in adulthood and the best age to measure the childhood risk factor levels.OBJECTIVESTo examine tracking and predictiveness of childhood lipid levels, blood pressure, and body mass index for risk profile in adulthood and the best age to measure the childhood risk factor levels.Study subjects were participants of the longitudinal Cardiovascular Risk in Young Finns Study, started in 1980 (age 3, 6, 9, 12, 15, and 18 years). A total of 2204 subjects participated to the 27-year follow-up in 2007 (age, 30 to 45 years).STUDY DESIGNStudy subjects were participants of the longitudinal Cardiovascular Risk in Young Finns Study, started in 1980 (age 3, 6, 9, 12, 15, and 18 years). A total of 2204 subjects participated to the 27-year follow-up in 2007 (age, 30 to 45 years).In both sex groups and in all age groups, childhood risk factors were significantly correlated with levels in adulthood. The correlation coefficients for cholesterol levels and body mass index were 0.43 to 0.56 (P < .0001), and for blood pressure and triglyceride levels, they were 0.21 to 0.32 (P < .0001). To recognize children with abnormal adult levels, the National Cholesterol Education Program and the National High Blood Pressure Education Program cutoff points for lipid and blood pressure values and international cutoff points for overweight and obesity were used. Age seemed to affect associations. The best sensitivity and specificity rates were observed in 12- to 18-year-old subjects.RESULTSIn both sex groups and in all age groups, childhood risk factors were significantly correlated with levels in adulthood. The correlation coefficients for cholesterol levels and body mass index were 0.43 to 0.56 (P < .0001), and for blood pressure and triglyceride levels, they were 0.21 to 0.32 (P < .0001). To recognize children with abnormal adult levels, the National Cholesterol Education Program and the National High Blood Pressure Education Program cutoff points for lipid and blood pressure values and international cutoff points for overweight and obesity were used. Age seemed to affect associations. The best sensitivity and specificity rates were observed in 12- to 18-year-old subjects.Childhood blood pressure, serum lipid levels, and body mass index correlate strongly with values measured in middle age. These associations seemed to be stronger with increased age at measurements.CONCLUSIONSChildhood blood pressure, serum lipid levels, and body mass index correlate strongly with values measured in middle age. These associations seemed to be stronger with increased age at measurements. To examine tracking and predictiveness of childhood lipid levels, blood pressure, and body mass index for risk profile in adulthood and the best age to measure the childhood risk factor levels. Study subjects were participants of the longitudinal Cardiovascular Risk in Young Finns Study, started in 1980 (age 3, 6, 9, 12, 15, and 18 years). A total of 2204 subjects participated to the 27-year follow-up in 2007 (age, 30 to 45 years). In both sex groups and in all age groups, childhood risk factors were significantly correlated with levels in adulthood. The correlation coefficients for cholesterol levels and body mass index were 0.43 to 0.56 (P < .0001), and for blood pressure and triglyceride levels, they were 0.21 to 0.32 (P < .0001). To recognize children with abnormal adult levels, the National Cholesterol Education Program and the National High Blood Pressure Education Program cutoff points for lipid and blood pressure values and international cutoff points for overweight and obesity were used. Age seemed to affect associations. The best sensitivity and specificity rates were observed in 12- to 18-year-old subjects. Childhood blood pressure, serum lipid levels, and body mass index correlate strongly with values measured in middle age. These associations seemed to be stronger with increased age at measurements. |
Author | Viikari, Jorma S.A. Jokinen, Eero Juonala, Markus Kähönen, Mika Magnussen, Costan G. Åkerblom, Hans K. Lehtimäki, Terho Raitakari, Olli T. Juhola, Jonna Jula, Antti Pietikäinen, Matti Hutri-Kähönen, Nina Taittonen, Leena Laitinen, Tomi |
Author_xml | – sequence: 1 givenname: Jonna surname: Juhola fullname: Juhola, Jonna email: jopasi@utu.fi organization: Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku and Turku University Central Hospital, Turku, Finland – sequence: 2 givenname: Costan G. surname: Magnussen fullname: Magnussen, Costan G. organization: Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku and Turku University Central Hospital, Turku, Finland – sequence: 3 givenname: Jorma S.A. surname: Viikari fullname: Viikari, Jorma S.A. organization: Department of Medicine, University of Turku and Turku University Central Hospital, Turku, Finland – sequence: 4 givenname: Mika surname: Kähönen fullname: Kähönen, Mika organization: Department of Clinical Physiology, University of Tampere and Tampere University Hospital, Tampere, Finland – sequence: 5 givenname: Nina surname: Hutri-Kähönen fullname: Hutri-Kähönen, Nina organization: Department of Pediatrics, University of Tampere and Tampere University Hospital, Tampere, Finland – sequence: 6 givenname: Antti surname: Jula fullname: Jula, Antti organization: Department of Health and Functional Capacity, National Institute for Health and Welfare, Turku, Finland – sequence: 7 givenname: Terho surname: Lehtimäki fullname: Lehtimäki, Terho organization: Department of Clinical Chemistry, University of Tampere and Tampere University Hospital, Tampere, Finland – sequence: 8 givenname: Hans K. surname: Åkerblom fullname: Åkerblom, Hans K. organization: Hospital for Children and Adolescents, University of Helsinki, Helsinki, Finland – sequence: 9 givenname: Matti surname: Pietikäinen fullname: Pietikäinen, Matti organization: Centre of Social and Health Services, Kuopio, Finland – sequence: 10 givenname: Tomi surname: Laitinen fullname: Laitinen, Tomi organization: Department of Clinical Physiology, University of Kuopio and Kuopio University Hospital, Kuopio, Finland – sequence: 11 givenname: Eero surname: Jokinen fullname: Jokinen, Eero organization: Hospital for Children and Adolescents, University of Helsinki, Helsinki, Finland – sequence: 12 givenname: Leena surname: Taittonen fullname: Taittonen, Leena organization: Department of Pediatrics, University of Oulu, Oulu, Finland – sequence: 13 givenname: Olli T. surname: Raitakari fullname: Raitakari, Olli T. organization: Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku and Turku University Central Hospital, Turku, Finland – sequence: 14 givenname: Markus surname: Juonala fullname: Juonala, Markus organization: Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku and Turku University Central Hospital, Turku, Finland |
BackLink | http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=24575071$$DView record in Pascal Francis https://www.ncbi.nlm.nih.gov/pubmed/21514597$$D View this record in MEDLINE/PubMed |
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Snippet | To examine tracking and predictiveness of childhood lipid levels, blood pressure, and body mass index for risk profile in adulthood and the best age to measure... Objectives To examine tracking and predictiveness of childhood lipid levels, blood pressure, and body mass index for risk profile in adulthood and the best age... OBJECTIVES: To examine tracking and predictiveness of childhood lipid levels, blood pressure, and body mass index for risk profile in adulthood and the best... |
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SubjectTerms | Adolescent Adult adulthood adults Age Factors Biological and medical sciences blood blood lipids Blood Pressure Body Mass Index Cardiology. Vascular system Child Child, Preschool childhood children cholesterol Coronary heart disease correlation Dyslipidemias Dyslipidemias - epidemiology education programs epidemiology Female Finland Finland - epidemiology General aspects Heart Humans hypertension Hypertension - epidemiology Lipids Lipids - blood Longitudinal Studies Male Medical sciences Middle Aged National Cholesterol Education Program obesity Obesity - epidemiology Overweight Overweight - epidemiology Pediatrics Predictive Value of Tests risk Risk Factors risk profile Sensitivity and Specificity triacylglycerols Young Adult |
Title | Tracking of Serum Lipid Levels, Blood Pressure, and Body Mass Index from Childhood to Adulthood: The Cardiovascular Risk in Young Finns Study |
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