TY - JOUR
T1 - Socioeconomic inequalities in adolescent health 2002-2010
T2 - A time-series analysis of 34 countries participating in the Health Behaviour in School-aged Children study
AU - Elgar, Frank J.
AU - Pförtner, Timo Kolja
AU - Moor, Irene
AU - De Clercq, Bart
AU - Stevens, Gonneke W J M
AU - Currie, Candace
PY - 2015/5/23
Y1 - 2015/5/23
N2 - Background Information about trends in adolescent health inequalities is scarce, especially at an international level. We examined secular trends in socioeconomic inequality in five domains of adolescent health and the association of socioeconomic inequality with national wealth and income inequality. Methods We undertook a time-series analysis of data from the Health Behaviour in School-aged Children study, in which cross-sectional surveys were done in 34 North American and European countries in 2002, 2006, and 2010 (pooled n 492 788). We used individual data for socioeconomic status (Health Behaviour in School-aged Children Family Affluence Scale) and health (days of physical activity per week, body-mass index Z score [zBMI], frequency of psychological and physical symptoms on 0-5 scale, and life satisfaction scored 0-10 on the Cantril ladder) to examine trends in health and socioeconomic inequalities in health. We also investigated whether international differences in health and health inequalities were associated with per person income and income inequality. Findings From 2002 to 2010, average levels of physical activity (3·90 to 4·08 days per week; p
AB - Background Information about trends in adolescent health inequalities is scarce, especially at an international level. We examined secular trends in socioeconomic inequality in five domains of adolescent health and the association of socioeconomic inequality with national wealth and income inequality. Methods We undertook a time-series analysis of data from the Health Behaviour in School-aged Children study, in which cross-sectional surveys were done in 34 North American and European countries in 2002, 2006, and 2010 (pooled n 492 788). We used individual data for socioeconomic status (Health Behaviour in School-aged Children Family Affluence Scale) and health (days of physical activity per week, body-mass index Z score [zBMI], frequency of psychological and physical symptoms on 0-5 scale, and life satisfaction scored 0-10 on the Cantril ladder) to examine trends in health and socioeconomic inequalities in health. We also investigated whether international differences in health and health inequalities were associated with per person income and income inequality. Findings From 2002 to 2010, average levels of physical activity (3·90 to 4·08 days per week; p
UR - http://www.scopus.com/inward/record.url?scp=84930090492&partnerID=8YFLogxK
U2 - 10.1016/S0140-6736(14)61460-4
DO - 10.1016/S0140-6736(14)61460-4
M3 - Article
C2 - 25659283
AN - SCOPUS:84930090492
SN - 0140-6736
VL - 385
SP - 2088
EP - 2095
JO - The Lancet
JF - The Lancet
IS - 9982
ER -