Spanish
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Social Psychiatry and Psychiatric Epidemiology 2000-Oct

Screening for prolonged fatigue syndromes: validation of the SOFA scale.

Solo los usuarios registrados pueden traducir artículos
Iniciar sesión Registrarse
El enlace se guarda en el portapapeles.
D Hadzi-Pavlovic
I B Hickie
A J Wilson
T A Davenport
A R Lloyd
D Wakefield

Palabras clave

Abstracto

BACKGROUND

The identification of syndromes characterised by persistent and disabling mental and/or physical fatigue is of renewed interest in psychiatric epidemiology. This report details the development of two specific instruments: the SOFA/CFS for identification of patients with chronic fatigue syndrome (CFS) in specialist clinics and the SOFA/GP for identification of prolonged fatigue syndromes (PFS) in community and primary care settings.

METHODS

Patients with clinical diagnoses of CFS (n = 770) and consecutive attenders at primary care (n = 1593) completed various self-report questionnaires to assess severity of current fatigue-related symptoms and other common somatic and psychological symptoms. Quality receiver operating characteristic curves were used to derive appropriate cut-off scores for each of the instruments. Comparisons with other self-report measures of anxiety, depression and somatic distress are noted. Various multivariate statistical modelling techniques [latent class analysis (LCA), longitudinal LCA] were utilised to define the key features of PFS and describe its longitudinal characteristics.

RESULTS

The SOFA/CFS instrument performs well in specialist samples likely to contain a high proportion of patients with CFS disorders. Cut-off scores of either 1/2 or 2/3 can be used, depending on whether the investigators wish to preferentially emphasise false-negatives or false-positives. Patients from these settings can be thought of as consisting not only of those with a large number of unexplained medical symptoms, but also those with rather specific musculoskeletal and pain syndromes. The SOFA/GP instrument has potential cut-off scores of 1/2 or 2/3, with the latter preferred as it actively excludes all non-PFS cases (sensitivity = 81%, specificity = 100%). Patients with these syndromes in the community represent broader sets of underlying classes, with the emergence of not only musculoskeletal and multisymptomatic disorders, but also persons characterised by significant cognitive subjective impairment. Twelve-month longitudinal analyses of the primary care sample indicated that the underlying class structure was preserved over time. Comparisons with other measures of psychopathology indicated the relative independence of these constructs from conventional notions of anxiety and depression.

CONCLUSIONS

The SOFA/GP instrument (which is considerably modified from the SOFA/CFS in terms of anchor points for severity and chronicity) is preferred for screening in primary care and community settings. Patients with PFS and CFS present a range of psychopathology that differs in its underlying structure, cross-sectionally and longitudinally, from coventional notions of anxiety and depression.

Únete a nuestra
página de facebook

La base de datos de hierbas medicinales más completa respaldada por la ciencia

  • Funciona en 55 idiomas
  • Curas a base de hierbas respaldadas por la ciencia
  • Reconocimiento de hierbas por imagen
  • Mapa GPS interactivo: etiquete hierbas en la ubicación (próximamente)
  • Leer publicaciones científicas relacionadas con su búsqueda
  • Buscar hierbas medicinales por sus efectos.
  • Organice sus intereses y manténgase al día con las noticias de investigación, ensayos clínicos y patentes.

Escriba un síntoma o una enfermedad y lea acerca de las hierbas que podrían ayudar, escriba una hierba y vea las enfermedades y los síntomas contra los que se usa.
* Toda la información se basa en investigaciones científicas publicadas.

Google Play badgeApp Store badge