TRACKING OF RISK-FACTORS FOR CORONARY HEART-DISEASE OVER A 14-YEAR PERIOD - A COMPARISON BETWEEN LIFE-STYLE AND BIOLOGIC RISK-FACTORS WITH DATA FROM THE AMSTERDAM-GROWTH-AND-HEALTH-STUDY

Citation
Jwr. Twisk et al., TRACKING OF RISK-FACTORS FOR CORONARY HEART-DISEASE OVER A 14-YEAR PERIOD - A COMPARISON BETWEEN LIFE-STYLE AND BIOLOGIC RISK-FACTORS WITH DATA FROM THE AMSTERDAM-GROWTH-AND-HEALTH-STUDY, American journal of epidemiology, 145(10), 1997, pp. 888-898
Citations number
57
Categorie Soggetti
Public, Environmental & Occupation Heath
ISSN journal
00029262
Volume
145
Issue
10
Year of publication
1997
Pages
888 - 898
Database
ISI
SICI code
0002-9262(1997)145:10<888:TORFCH>2.0.ZU;2-J
Abstract
Because the magnitude of tracking coefficients (i.e., stability coeffi cients and tracking for subjects at risk) greatly depends on the initi al age of subjects, the number and spacing of longitudinal measurement s, and the length of the total time period, it is difficult to compare tracking coefficients from different studies with each other. Because in the Amsterdam Growth and Health Study both biologic (i.e., lipopro teins, blood pressure, body fatness, and cardiopulmonary fitness) and lifestyle (i.e., dietary intake, daily physical activity, smoking, and alcohol consumption) risk factors for coronary heart disease were mea sured, this study gives the unique possibility of comparing tracking c oefficients of biologic and lifestyle risk factors within one data set . In the Amsterdam Growth and Health Study, six repeated measurements were carried out on 181 subjects over a period from 13 to 27 years of age, beginning in 1977. The results indicated that, over a period of 1 4 years covering adolescence and young adulthood, both stability coeff icients and tracking for subjects at risk for lifestyle risk factors w ere low (except for smoking), indicating low predictability of early m easurements for values later in life. For the biologic risk factors ca rdiopulmonary fitness and blood pressure, tracking was also low, while for the lipoproteins and body fatness, tracking was much better, indi cating good predictability.