Quality of Life in Paediatric Migraine: Characterization of Age-Related Effects Using PedsQL 4.0
The aim of this study was to measure quality of life (QOL) across a broad age range of paediatric migraine patients. Children and adolescents (n = 686) with migraine completed the Pediatric Quality of Life Inventory, version 4.0 (PedsQL 4.0) and a standardized headache assessment at an initial clini...
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| Veröffentlicht in: | Cephalalgia 2004-02, Vol.24 (2), p.120-127 |
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| creator | Powers, SW Patton, SR Hommel, KA Hershey, AD |
| description | The aim of this study was to measure quality of life (QOL) across a broad age range of paediatric migraine patients. Children and adolescents (n = 686) with migraine completed the Pediatric Quality of Life Inventory, version 4.0 (PedsQL 4.0) and a standardized headache assessment at an initial clinic visit. The sample size for each PedsQL age group was: age 2-4 = 21, age 5-7 = 86, age 8-12 = 298, and age 13-18 = 281. Mean total score was 72.7 ± 14.8, significantly less than healthy norms (P < 0.01). Teens reported lower School Functioning than older and young children (P < 0.05) and young children reported lower Social Functioning than older children and teens (P < 0.001). A moderate relation was found between self and parent report. Age-related effects on QOL have implications for the evaluation and management of migraine in paediatric practice. The self and parent report forms of the PedsQL can be used in a practice setting. |
| doi_str_mv | 10.1111/j.1468-2982.2004.00652.x |
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Children and adolescents (n = 686) with migraine completed the Pediatric Quality of Life Inventory, version 4.0 (PedsQL 4.0) and a standardized headache assessment at an initial clinic visit. The sample size for each PedsQL age group was: age 2-4 = 21, age 5-7 = 86, age 8-12 = 298, and age 13-18 = 281. Mean total score was 72.7 ± 14.8, significantly less than healthy norms (P < 0.01). Teens reported lower School Functioning than older and young children (P < 0.05) and young children reported lower Social Functioning than older children and teens (P < 0.001). A moderate relation was found between self and parent report. Age-related effects on QOL have implications for the evaluation and management of migraine in paediatric practice. 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Children and adolescents (n = 686) with migraine completed the Pediatric Quality of Life Inventory, version 4.0 (PedsQL 4.0) and a standardized headache assessment at an initial clinic visit. The sample size for each PedsQL age group was: age 2-4 = 21, age 5-7 = 86, age 8-12 = 298, and age 13-18 = 281. Mean total score was 72.7 ± 14.8, significantly less than healthy norms (P < 0.01). Teens reported lower School Functioning than older and young children (P < 0.05) and young children reported lower Social Functioning than older children and teens (P < 0.001). A moderate relation was found between self and parent report. Age-related effects on QOL have implications for the evaluation and management of migraine in paediatric practice. 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Children and adolescents (n = 686) with migraine completed the Pediatric Quality of Life Inventory, version 4.0 (PedsQL 4.0) and a standardized headache assessment at an initial clinic visit. The sample size for each PedsQL age group was: age 2-4 = 21, age 5-7 = 86, age 8-12 = 298, and age 13-18 = 281. Mean total score was 72.7 ± 14.8, significantly less than healthy norms (P < 0.01). Teens reported lower School Functioning than older and young children (P < 0.05) and young children reported lower Social Functioning than older children and teens (P < 0.001). A moderate relation was found between self and parent report. Age-related effects on QOL have implications for the evaluation and management of migraine in paediatric practice. 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| source | Sage Journals GOLD Open Access 2024 |
| subjects | Adolescent Adolescents Age Factors Child Child, Preschool children disability Female headache Humans Male Migraine Disorders - psychology paediatric Parents psychology Quality of Life Surveys and Questionnaires |
| title | Quality of Life in Paediatric Migraine: Characterization of Age-Related Effects Using PedsQL 4.0 |
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