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 inThe Journal of pediatrics Vol. 159; no. 4; pp. 584 - 590
Main Authors Juhola, Jonna, Magnussen, Costan G., Viikari, Jorma S.A., Kähönen, Mika, Hutri-Kähönen, Nina, Jula, Antti, Lehtimäki, Terho, Åkerblom, Hans K., Pietikäinen, Matti, Laitinen, Tomi, Jokinen, Eero, Taittonen, Leena, Raitakari, Olli T., Juonala, Markus
Format Journal Article
LanguageEnglish
Published Maryland Heights, MO Mosby, Inc 01.10.2011
Elsevier
Subjects
Online AccessGet full text
ISSN0022-3476
1097-6833
1097-6833
DOI10.1016/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.
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.
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  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
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  givenname: Antti
  surname: Jula
  fullname: Jula, Antti
  organization: Department of Health and Functional Capacity, National Institute for Health and Welfare, Turku, Finland
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  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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Issue 4
Keywords SBP
NCEP
LDL-C
TC
CVD
HDL-C
USPSTF
DBP
TG
NPV
PPV
IOTF
BMI
Cardiovascular disease
Low-density lipoprotein cholesterol
Body mass index
Total cholesterol
National Cholesterol Education Program
Systolic blood pressure
Diastolic blood pressure
International Obesity Task Force
Negative predictive value
Triglycerides
High-density lipoprotein cholesterol
Positive predictive value
US Preventive Service Task Force
Human
Pediatrics
Lipids
Coronary heart disease
Lipemia
Clinical biology
Risk factor
Cardiovascular risk
Adult
Evolution
Arterial pressure
Serum
Blood pressure
Hemodynamics
Child
Age
Language English
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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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https://dx.doi.org/10.1016/j.jpeds.2011.03.021
https://www.ncbi.nlm.nih.gov/pubmed/21514597
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Volume 159
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