Health status: does it predict choice in further education?
OBJECTIVE
To study the significance of a young person's health to his or her choice of further education at age 16.


METHODS
A cross sectional population survey


METHODS
The whole of Finland.


METHODS
A representative sample of 2977 Finnish 16 year olds. The response rate was 83%.


RESULTS
The three outcome variables reflected successive steps on the way to educational success: school attendance after the completion of compulsory schooling, the type of school, and school achievement for those at school. Continuing their education and choosing upper secondary school were most typical of young people from upper social classes. Female gender and living with both parents increased the probability of choosing to go on to upper secondary school. Over and above these background variables, some health factors had additional explanatory power. Continuing their education, attending upper secondary schools, and good achievement were typical of those who considered their health to be good. Chronically ill adolescents were more likely to continue their education than the healthy ones.


CONCLUSIONS
School imposes great demands on young people, thus revealing differences in personal health resources. Adaptation to the norms of a society in which education is highly valued is related to satisfying health status. In a welfare state that offers equal educational opportunities for everyone, however, chronically ill adolescents can add to their resources for coping through schooling. Health related selection thus works differently for various indicators of health and in various kinds of societies. Social class differences in health in the future may be more dependent on personally experienced health problems than on medically diagnosed diseases.
Koivusilta
L
L
University of Turku, Department of Public Health, Finland.
Rimpelä
A
A
Rimpelä
M
M
D000293:Adolescent; D002755:Choice Behavior; D003430:Cross-Sectional Studies; D004493:Education; D004522:Educational Status; D005260:Female; D005387:Finland; D006304:Health Status; D006801:Humans; D016015:Logistic Models; D008297:Male; D011159:Population Surveillance; D012923:Social Class