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1.
Eur J Public Health ; 29(5): 919-924, 2019 10 01.
Article in English | MEDLINE | ID: mdl-30753409

ABSTRACT

BACKGROUND: The concept of health literacy (HL) may help us to better understand the mechanisms leading to health disparities, and to focus on the factors that can be influenced. However, not much is yet known about how HL is related to health disparities, or whether the association exists among adolescents. The aim of the study was to examine the associations between structural stratifiers, HL and health indicators among adolescents. METHODS: The nationally representative Finnish Health Behaviour in School-aged Children survey data (n=3833) were collected from 13- and 15-year-old pupils in the spring of 2014. Pearson correlation coefficients were calculated, and separate path models were estimated for the perceived health and health behaviour measures. RESULTS: HL was found to be an independent factor explaining disparities in health. Higher HL was related to positive health outcomes. HL also acted as a mediator between health behaviours and structural stratifiers, except for gender. School achievement and educational aspirations were among the factors explaining the HL level, which in turn, explained the health indicators. CONCLUSION: The concept of HL is of use in understanding health disparities. In particular, HL provides a mechanism via which school achievement and educational plans affect health outcomes. Low HL places adolescents who have poor school achievement and who do not intend to continue on an academic path in an unequal position with respect to their health.


Subject(s)
Adolescent Health/statistics & numerical data , Health Literacy/statistics & numerical data , Adolescent , Educational Status , Female , Finland/epidemiology , Health Behavior , Health Status Disparities , Humans , Male
2.
Scand J Public Health ; 40(1): 61-8, 2012 Feb.
Article in English | MEDLINE | ID: mdl-22042742

ABSTRACT

AIMS: To investigate the associations between physical activity and the pattern of risk health behaviour consisting of smoking, alcohol consumption, snuff (snus), cannabis, and condom use among 15-year-old adolescents, taking their educational aspirations and family affluence into account. METHODS: The data were collected in the Health Behaviour in School-aged Children (HBSC) study in Finland in 2006. Standardised questionnaires were issued at schools to a 15-year-old nationally representative sample, of which 84.5% (1710 pupils) participated. Logistic regression analysis was used to explore the associations between physical activity, pattern of risk health behaviour, family affluence, and educational aspirations. Separate models for daily moderate-to-vigorous physical activity (MVPA) and leisure-time physical activity (LTPA) were tested. Multi-level analysis was performed in order to control the nested characteristics of the data. RESULTS: Boys were significantly more physically active and used alcohol, cannabis, and snuff more often than girls. Girls had used a condom in their last intercourse less often than boys. The educational aspirations for higher education had the strongest association with the low-risk health behaviour, with the odds ratios in the MVPA model 3.30 (95% CI 2.41-4.55) for the boys and 3.46 (95% CI 2.56-4.67) for the girls. In the LTPA model, the corresponding odds ratios were 3.31 (95% CI 2.40-4.56) for the boys and 3.52 (95% CI 2.60-4.56) for the girls. CONCLUSIONS: Physical activity was not significantly associated with the low-risk health behaviour, whereas educational aspirations for higher education showed the strongest association. The results support the earlier studies indicating a social gradient in health-related behaviour already in adolescence.


Subject(s)
Adolescent Behavior/psychology , Health Behavior , Motor Activity , Risk-Taking , Adolescent , Age Factors , Alcohol Drinking/psychology , Condoms/statistics & numerical data , Cross-Sectional Studies , Educational Status , Family Relations , Female , Finland , Humans , Male , Marijuana Abuse/psychology , Sex Factors , Smoking/psychology , Tobacco Use Disorder/psychology , Tobacco, Smokeless
3.
Scand J Public Health ; 33(1): 35-41, 2005.
Article in English | MEDLINE | ID: mdl-15764239

ABSTRACT

BACKGROUND: Poor perceived health during childhood may affect an individual's well-being throughout life. In adult studies, sense of coherence (SOC) has been shown to be associated with perceived health. AIMS: The aim of this study was to determine which factors with an emphasis on SOC and physical exercise were associated with perceived health among 12-year-old children. METHODS: A total of 1,231 12-year-old school children (83%) completed a questionnaire. Most of the 37 questions had multiple-choice types of response. The questions were largely based on those used in the Health Behaviour in School-aged Children (HBSC) study coordinated by the WHO. SOC was determined using the 13-item scale developed by Antonovsky. Factors used in calculating performance at school were marks (given by the teachers, range 4-10, 10 being the best) in mathematics, native language, and first foreign language. Statistical analysis involved the use of logistic regression models and the so-called generalized estimation technique because of the multi-level study design. RESULTS: In a multivariate model adjusted for reported psychosomatic symptoms, insufficient physical exercise was clearly (OR 4.6) associated with poor perceived health. Other variables with significant associations (OR 1.4-1.7) were a mark below 9 in mathematics, belonging to the weakest SOC tertile, reporting of problems of perceived support from teachers, and reporting of various problems involving the class climate. CONCLUSIONS: Among the studied variables physical exercise was the most strongly associated with perceived health, even when several social and psychological risk factors were included in the analysis. SOC and variables of social support were also of importance.


Subject(s)
Adaptation, Psychological , Exercise , Health Behavior , Health Status , Self Concept , Child , Finland/epidemiology , Humans , Psychophysiologic Disorders/epidemiology , Regression Analysis , Risk Factors , Social Support , Surveys and Questionnaires
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