23 research outputs found

    Changes from 1986 to 2006 in reasons for liking leisure-time physical activity among adolescents

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    Reasons for participating in physical activity (PA) may have changed in accordance with the general modernization of society. The aim is to examine changes in self-reported reasons for liking leisure-time physical activity (LTPA) and their association with self-reported LTPA over a 20-year period. Data were collected among nationally representative samples of 13-year-olds in Finland, Norway, and Wales in 1986 and 2006 (N = 9252) as part of the WHO cross-national Health Behaviour in School-aged Children (HBSC) study. Univariate ANOVAs to establish differences according to gender, year, and country were conducted. In all countries, 13-year-olds in 2006 tended to report higher importance in terms of achievement and social reasons than their counterparts in 1986, while changes in health reasons were minor. These reasons were associated with LTPA in a similar way at both time points. Health reasons for liking LTPA were considered most important, and were the strongest predictor of LTPA. The findings seem robust as they were consistent across countries and genders. Health education constitutes the most viable strategy for promoting adolescents' motivation for PA, and interventions and educational efforts could be improved by an increased focus on LTPA and sport as a social activity

    Distal and proximal family predictors of adolescents' smoking initiation and development: A longitudinal latent curve model analysis

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    <p>Abstract</p> <p>Background</p> <p>Studies on adolescent smoking indicate that the smoking behaviours of their parents, siblings and friends are significant micro-level predictors. Parents' socioeconomic status (SES) is an important macro-level predictor. We examined the longitudinal relationships between these predictors and the initiation and development of adolescents' smoking behaviour in Norway.</p> <p>Methods</p> <p>We employed data from <it>The Norwegian Longitudinal Health Behaviour Study (NLHB)</it>, in which participants were followed from the age of 13 to 30. We analysed data from the first 5 waves, covering the age span from 13 to 18, with latent curve modeling (LCM).</p> <p>Results</p> <p>Smoking rates increased from 3% to 31% from age 13 to age 18. Participants' smoking was strongly associated with their best friends' smoking. Parental SES, parents' smoking and older siblings' smoking predicted adolescents' initial level of smoking. Furthermore, the same variables predicted the development of smoking behaviour from age 13 to 18. Parents' and siblings' smoking behaviours acted as mediators of parents' SES on the smoking habits of adolescents.</p> <p>Conclusions</p> <p>Parents' SES was significantly associated, directly and indirectly, with both smoking initiation and development. Parental and older siblings' smoking behaviours were positively associated with both initiation and development of smoking behaviour in adolescents. There were no significant gender differences in these associations.</p

    Measuring adolescent mental health around the globe: psychometric properties of the self-report Strengths and Difficulties Questionnaire in South Africa, and comparison with UK, Australian and Chinese data

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    This study evaluated the psychometric properties of the Strengths and Difficulties Questionnaire Self-Report (SDQ-S) in South African adolescents, and compared findings with data from the UK, Australia and China. A sample of 3451 South African adolescents in grade 8, the first year of secondary school (M age = 13.7 years), completed the SDQ-S in Afrikaans, English or isiXhosa. Means, group differences and internal consistency were analysed using SPSS V22, and confirmatory factor analyses were conducted using MPlus V7. In the South African sample, significant gender differences were found for four of the five sub-scale means and for total difficulties, but gender differences of alpha scores were negligible. The internal consistency for the total difficulties, prosocial behaviour and emotional symptoms sub-scales were fair. UK cut-off values for caseness (set to identify the top 10% of scores in a UK sample) led to a higher proportion of South African adolescents classified in the 'abnormal' range on emotional and peer difficulties and a lower proportion classified in the 'abnormal' range for hyperactivity. South African cut-offs were therefore generated. The cross-country comparison with UK, Australian and Chinese data showed that South African adolescent boys and girls had the highest mean scores on total difficulties as well as on the subscales of emotional symptoms and conduct problems. In contrast, South African boys and girls had the lowest mean scores for hyperactivity/inattention. The UK boys and girls had the highest mean scores for hyperactivity/inattention, while the Australian sample had the highest scores for prosocial behaviours. The Chinese boys had the highest peer problem mean scores and Chinese boys and girls had the lowest means on prosocial behaviours. Confirmatory factor analyses showed significant item loadings with loadings higher than 0.40 for the emotional and prosocial behaviour sub-scales on the five-factor model, but not for all relevant items on the other three domains. Findings support the potential usefulness of the SDQ-S in a South African setting, but suggest that the SDQ-S should not be used with UK cut-off values, and indicate the need for further validation and standardisation work in South African adolescents. We recommend that in-country cut-offs for 'caseness' should be used for clinical purposes in South Africa, that cross-country comparisons should be made with caution, and that further examination of naturalistic clusters and factors of the SDQ should be performed in culturally and contextually diverse setting

    Individual Music Therapy for Mental Health Care Clients With Low Therapy Motivation: Multicentre Randomised Controlled Trial

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    BACKGROUND: Music therapy (MT) has been shown to be efficacious for mental health care clients with various disorders such as schizophrenia, depression and substance abuse. Referral to MT in clinical practice is often based on other factors than diagnosis. We aimed to examine the effectiveness of resource-oriented MT for mental health care clients with low motivation for other therapies. METHOD: This was a pragmatic parallel trial. In specialised centres in Norway, Austria and Australia, 144 adults with non-organic mental disorders and low therapy motivation were randomised to 3 months of biweekly individual, resource-oriented MT plus treatment as usual (TAU) or TAU alone. TAU was typically intensive (71% were inpatients) and included the best combination of therapies available for each participant, excluding MT. Blinded assessments of the Scale for the Assessment of Negative Symptoms (SANS) and 15 secondary outcomes were collected before randomisation and after 1, 3 and 9 months. Changes were analysed on an intention-to-treat basis using generalised estimating equations in longitudinal linear models, controlling for diagnosis, site and time point. RESULTS: MT was superior to TAU for total negative symptoms (SANS, d = 0.54, p \u3c 0.001) as well as functioning, clinical global impressions, social avoidance through music, and vitality (all p \u3c 0.01). CONCLUSION: Individual MT as conducted in routine practice is an effective addition to usual care for mental health care clients with low motivation
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