How Specific Are Risk Factors for Headache in Adolescents? Results from a Cross-sectional Study in Germany

Institute of Social Paediatrics and Adolescent Medicine, Medical Faculty of the Ludwig-Maximilians-University Munich, Munich, Bavaria, Germany.
Neuropediatrics (Impact Factor: 1.24). 01/2013; 44(1). DOI: 10.1055/s-0032-1333432
Source: PubMed


Background The identified preventable risk factors for primary headache in adolescents are smoking; consumption of coffee or alcoholic mixed drinks; physical inactivity; muscle pain in the head, neck, or shoulder region; and chronic stress.Objective To investigate the interrelation of headache with other health complaints and the specificity of the above-mentioned risk factors for headache in adolescents.Methods A total of 1,260 students (grades 10 and 11) filled in questionnaires on headache, dietary, and lifestyle factors. The type of headache and health complaints such as dizziness, abdominal pain, musculoskeletal pains, symptoms of possible fatigue syndrome, and psychic complaints were assessed.Results Isolated headache was found in 18% of the headache sufferers; most frequently isolated tension-type headache (78.2%). Only among adolescents with a combination of headache (mainly migraine) and other health complaints, significant associations for almost all analyzed risk factors were found. The strength of the associations with the considered risk factors was very similar in all three analyzed strata except for considerably lower odds ratios for isolated headache.Conclusion All analyzed risk factors are nonspecific for headache in adolescents because they also increase the risk for other health complaints. Interventions, therefore, should consider a holistic approach focusing not only on headache but also on a broader spectrum of health complaints.

Download full-text


Available from: Florian Heinen,
  • Source

    Neuropediatrics 02/2013; 44(1):1-2. DOI:10.1055/s-0032-1333436 · 1.24 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: AIM: Purpose of the study was to recognize specific migraine triggers in adolescents.
    Macedonian Journal of Medical Sciences 08/2014; 7(3). DOI:10.3889/MJMS.1857-5773.2014.0435
  • [Show abstract] [Hide abstract]
    ABSTRACT: Purpose: This study describes a multivariate model showing how lifestyle behaviors (skipping meals, water intake, tobacco use, alcohol use, and physical activity) and illness-related factors (depression, somatic complaints, insomnia, and obesity) work together to predict headache in an adolescent population. Method: A descriptive, cross-sectional, secondary analysis using survey data from the National Longitudinal Study of Adolescent Health (1996) is reported. The National Longitudinal Study of Adolescent Health is a large database providing a nationally representative sample of adolescents (aged 11-17 years, n = 13,570). The database evaluated adolescent headache and is inclusive of all the predictors specific to this study. Frequency analysis and forward logistic regression were performed using each of the lifestyle behaviors and illness-related factors. Results: Approximately 26% of the adolescents experienced recurrent headache. Recurrent headache was reported by 19% of male adolescents and 26% of female adolescents. A multivariate model was developed that showed how lifestyle behaviors and illness-related factors predict recurrent headache in adolescents. The final model (Wald F = 86.88, p = .00) consisted of the following predictors: chest pain, muscle and joint pain, skip breakfast three or more times a week, skip lunch one or more times a week, and physical activity. The interactions of gender and age group, race and smoking regularly, and depression and insomnia were also included in the final model. Conclusion: Providing evidence to clinicians that lifestyle behaviors and illness-related factors are associated with adolescent headache may improve overall headache assessment and may result in a more comprehensive plan of treatment.
    Journal of Neuroscience Nursing 12/2014; 46(6):337-350. DOI:10.1097/JNN.0000000000000095 · 0.82 Impact Factor
Show more