AIM: The aim is to study the health-related quality of life in a school sample of children and adolescents aged 8-18 years and to examine the relationship between health-related quality of life and the following variables; age, gender, perceived pain, body image, body mass index and bullying. BACKGROUND: The study of health-related quality of life in children and adolescents have received little attention compared with adults in health care research and still little is known about the associations between health-related quality of life and other variables. DESIGN: A cross-sectional design was chosen. METHOD: We measured the health-related quality of life using the generic questionnaire KIDSCREEN-10. We administered the KIDSCREEN 52-item, and the 10 items were selected from this according to the KIDSCREEN manual. Multilevel regression models were used to evaluate the associations between health-related quality of life and the independent variables. RESULTS: The sample included 1066 children and adolescents, 576 girls and 490 boys, with a response rate of 74%. The results show that body mass index was not significant associated with health-related quality of life in full model. However, in addition to age, being bullied, pain and body image were significant associated with health-related quality of life. Of these predictors, body image has the strongest impact in terms of explained variance in health-related quality of life. CONCLUSION: The subjective sense of satisfaction or dissatisfaction with one's body, perceived body image, is a powerful predictor of health-related quality of life. RELEVANCE TO CLINICAL PRACTICE: Knowledge about predictors of health-related quality of life is especially important for public health nurses. Health promotion and intervention programmes that aim to strengthen psychosocial well-being, especially those that strengthen body image, should be developed for both genders.
AIM: The aim is to study the health-related quality of life in a school sample of children and adolescents aged 8-18 years and to examine the relationship between health-related quality of life and the following variables; age, gender, perceived pain, body image, body mass index and bullying. BACKGROUND: The study of health-related quality of life in children and adolescents have received little attention compared with adults in health care research and still little is known about the associations between health-related quality of life and other variables. DESIGN: A cross-sectional design was chosen. METHOD: We measured the health-related quality of life using the generic questionnaire KIDSCREEN-10. We administered the KIDSCREEN 52-item, and the 10 items were selected from this according to the KIDSCREEN manual. Multilevel regression models were used to evaluate the associations between health-related quality of life and the independent variables. RESULTS: The sample included 1066 children and adolescents, 576 girls and 490 boys, with a response rate of 74%. The results show that body mass index was not significant associated with health-related quality of life in full model. However, in addition to age, being bullied, pain and body image were significant associated with health-related quality of life. Of these predictors, body image has the strongest impact in terms of explained variance in health-related quality of life. CONCLUSION: The subjective sense of satisfaction or dissatisfaction with one's body, perceived body image, is a powerful predictor of health-related quality of life. RELEVANCE TO CLINICAL PRACTICE: Knowledge about predictors of health-related quality of life is especially important for public health nurses. Health promotion and intervention programmes that aim to strengthen psychosocial well-being, especially those that strengthen body image, should be developed for both genders.
Authors: Laura Stöcklin; Georg Loss; Erika von Mutius; Juliane Weber; Jon Genuneit; Elisabeth Horak; Barbara Sozanska; Hanna Danielewicz; Paul Cullinan; Dick Heederick; Charlotte Braun-Fahrländer Journal: Int J Public Health Date: 2012-12-20 Impact factor: 3.380
Authors: Donald L Patrick; Janice F Bell; Jon Y Huang; Nicholas C Lazarakis; Todd C Edwards Journal: Am J Public Health Date: 2013-05-16 Impact factor: 9.308
Authors: Catherine Fantaguzzi; Elizabeth Allen; Alec Miners; Deborah Christie; Charles Opondo; Zia Sadique; Adam Fletcher; Richard Grieve; Chris Bonell; Russell M Viner; Rosa Legood Journal: Eur J Health Econ Date: 2017-06-15
Authors: Pernille M Mollerup; Tenna R H Nielsen; Christine Bøjsøe; Julie T Kloppenborg; Jennifer L Baker; Jens-Christian Holm Journal: Qual Life Res Date: 2017-02-17 Impact factor: 4.147
Authors: Neuza Silva; Marco Pereira; Christiane Otto; Ulrike Ravens-Sieberer; Maria Cristina Canavarro; Monika Bullinger Journal: Qual Life Res Date: 2019-05-04 Impact factor: 4.147