Health and health behaviours in adolescence as predictors of education and socioeconomic status in adulthood - a longitudinal study

BACKGROUND

The positive association of health with education level and socioeconomic status (SES) is well-established. Two theoretical frameworks have been delineated to understand main mechanisms leading to socioeconomic health inequalities: social causation and health selection but how these work in adolescence is poorly known. We studied if adolescent health and health behaviours predict higher education and higher SES in adulthood and if family background and school performance in adolescence explain these associations.

METHODS

Surveys on health and health behaviours were sent to representative samples of 12-18-year-old Finns in 1981-1997 every second year (response rate 77.8%, N = 55,682). The survey data were linked with the respondents' and their parents' socioeconomic data from the Finnish national registries. Both latent variables, namely, health (perceived health, health complaints, chronic disease), health-compromising behaviours (smoking status, drunkenness frequency), and family background (parents' occupation-based SES, education, family type) and variables directly measuring health-enhancing behaviours (toothbrushing, physical activity) and school performance were used to predict higher education and higher occupation-based SES at age 34. Logistic regression analysis and structural equation models (SEM) were used.

RESULTS

In logistic regression analyses, good health, health-enhancing behaviours, and lack of health-compromising behaviours were related to higher education and SES, also after controlling for family background and school performance. In the SEM analyses, good health, health-enhancing behaviours, and lack of health-compromising behaviours directly predicted higher SES and higher education, although the standardised coefficients were low (from 0.034 to 0.12). In all models, health, lack of health-compromising behaviours, and health-enhancing behaviours predicted school performance, which in turn, predicted the outcomes, suggesting indirect routes to these. Good socioeconomic prospects in terms of family background predicted good health, healthy behaviours, and good school performance in adolescence and higher SES and higher education in adulthood.

CONCLUSION

Health and health behaviours in adolescence predicted education and SES in adulthood. Even though the relationships were modest, they support the health selection hypotheses and emphasise the importance of adolescence for health inequalities during the life-course. Health and health behaviours were strongly associated with school performance and family background which together modified the paths from health and health behaviours to the outcomes.

The change in child self-assessed and parent proxy-assessed Health Related Quality of Life (HRQL) in early adolescence (age 10-12)

AIMS

To examine the development of self-assessed and parent proxy-assessed health related quality of life (HRQL) in pre-adolescent schoolchildren.

METHODS

The population (n = 1,346) consisted of the total cohort of children starting 4th grade (age 10) in 2004 in primary schools in a Finnish city of 175,000 inhabitants. HRQL was assessed using the Pediatric Quality of Life Inventory 4.0 (PedsQL 4.0). The baseline study was conducted in 2004 (child age 10) and follow-up in a panel setting in 2006 (child age 12). The response rate for the children was 80% (n = 1,094) in 2004 and 85% (n = 1,139) in 2006. The response rate for children having responded both in 2004 and 2006 was 73% (n = 986). For parents of the children, one parent participated in the parents' survey (n = 999 in 2004, n = 888 in 2006).

RESULTS

HRQL scores increased significantly in the two-year follow up (child t = 10.16-5.95, p < 0.0001, parent-proxy t = 6.35-2.76, p < 0.0001-0.006). Correlation between baseline and follow-up assessments was significant (child r = 0.4-0.5, p < 0.0001, parent r = 0.47-0.57, p < 0.0001). The correlation between baseline HRQL and change was negative (child r =-0.67 to -0.56, p < 0.0001, parent r =-0.62 to -0.46, p < 0.0001). Correlation between child and parent assessments increased from baseline (r = 0.20-0.39, p < 0.0001) to follow up (r = 0.3-0.42, p < 0.0001).

CONCLUSIONS

Child-assessed and parent proxy-assessed HRQL scores increase, suggesting HRQL improves, when children grow from age 10 to age 12. Baseline HRQL may not strongly predict future HRQL in early adolescence. The correlation between child self-assessment and parent proxy-assessment is fragile.

Orientations in adolescent use of information and communication technology: a digital divide by sociodemographic background, educational career, and health

AIMS

The role of information and communication technology (ICT) in adolescents' lives was studied, with emphasis on whether there exists a digital divide based on sociodemographic background, educational career, and health. The assumption was that some groups of adolescents use ICT more so that their information utilization skills improve (computer use), while others use it primarily for entertainment (digital gaming, contacting friends by mobile phone).

METHODS

Data were collected by mailed survey from a nationally representative sample of 12- to 18-year-olds (n=7,292; response 70%) in 2001 and analysed using ANOVA.

RESULTS

Computer use was most frequent among adolescents whose fathers had higher education or socioeconomic status, who came from nuclear families, and who continued studies after compulsory education. Digital gaming was associated with poor school achievement and attending vocational rather than upper secondary school. Mobile phone use was frequent among adolescents whose fathers had lower education or socioeconomic status, who came from non-nuclear families, and whose educational prospects were poor. Intensive use of each ICT form, especially of mobile phones, was associated with health problems. High social position, nuclear family, and a successful educational career signified good health in general, independently of the diverse usage of ICT.

CONCLUSIONS

There exists a digital divide among adolescents: orientation to computer use is more common in educated well-off families while digital gaming and mobile phone use accumulate at the opposite end of the spectrum. Poorest health was reported by mobile phone users. High social background and success at school signify better health, independently of the ways of using ICT.

To have or not to have a pet for better health?

Background

Pet ownership is thought to have health benefits, but not all scientific explorations have been founded on proper applications of representative samples or statistically correct methodologies. Databanks have been too small for proper statistical analyses; or, instead of a random sample, participation has been voluntary. The direction of causality has been evaluated incorrectly or control of relevant factors noted deficient. This study examined the associations of pet ownership with perceived health and disease indicators by taking into account socio-demographic background factors together with health risk factors, including exercise.

Methodology/Principal Findings

The present study used baseline data from the 15-year Health and Social Support Study (the HeSSup Study). The Finnish Population Register Centre was used to draw population-based random samples stratified according to gender and four age groups (20–24, 30–34, 40–44, and 50–54 years). A total of 21,101 working-aged Finns responded to the baseline survey questionnaire of the 15-year HeSSup Study in 1998. Ordinal and binary logistic regression was used to analyze the cross-sectional data. Pet ownership was associated with poor rather than good perceived health. BMI surfaced as the risk factor most strongly associated with pet ownership.

Conclusions/Significance

Pet owners set in their ways and getting older were found to have a slightly higher BMI than the rest. Additional research is needed for the testing of hypotheses involving effects of pet ownership with various health dimensions within population groups that are composed of different kinds of background characteristics.

Health behavior-based selection into educational tracks starts in early adolescence

Health behaviors and educational tracks of an individual are here presumed to have a strengthening influence on each other during the developmental process, through which individuals gradually reach their adult health and social position. This longitudinal study of a Finnish nationally representative sample of 12 year olds born in 1970 (N = 1009) examined the associations of health behaviors at ages 12 and 14 with educational track at age 16. The dependent variable, educational track, classified the respondents into five successive categories, thought to predict their adult social position. Selection into different educational tracks according to health behaviors was obvious already at age 12, when frequency of tooth brushing, consumption of sweets, coffee drinking and level of participation in physical exercise predicted educational track independently of sociodemographic background. At age 14, the independent predictors were smoking, frequency of tooth brushing and coffee drinking. At both ages, sociodemographic factors had independent associations with educational track. It seems that certain health-related behaviors in early adolescence are indicators of a person's possibilities to benefit from a country's educational supply. Both sociodemographic background and health-related behaviors influence the process of selection into educational tracks leading to social position and health in adulthood.

Health-related lifestyle in adolescence--origin of social class differences in health?

Survey data collected by mail, representing Finnish 16 year olds (N = 2977; response rate 83%), were used to identify which particular aspects of lifestyle are typical of adolescents who select various educational tracks and, thus, have different probabilities of ending up in low or high social positions. The dependent variable, educational track, was formed by classifying the respondents into five successive categories predicting their social position in adulthood. Lifestyle is measured by health behaviours, leisure-time activities and social relations. The probability of belonging to educational tracks with good social prospects in adulthood was high among adolescents who placed much emphasis on health-enhancing behaviours (not smoking, physical exercise, low milk-fat diet, dental hygiene, use of seatbelts, etc.), who did not spend much time watching TV or listening to music and who attended church or other religious meetings weekly. Health-related lifestyle, at the age of 16, is oriented towards the social group the individual is likely to belong to as an adult. The study provides evidence for a strong association between health-related lifestyle and educational track in adolescence.