Author’s information (optional)
Url Link
The hyperlink to my paper’s website.
Methods
‘All residents aged 16–75 years in each sampled household were asked to complete the questionnaire survey. Questionnaires were left at 887 households (72% of the eligible sampling frame).’
All residents between the age of 16 to 75 years in the selected households were invited to complete questionnaire. Questionnaires were distributed to 887 households, representing 72% of the eligible sample frame.
Introduction
‘Our aim was to investigate the amount of variation in symptoms of common mental disorder between postcode units and between households, and whether any such variation could be explained by contextual measures of residential environment quality and geographical accessibility of local services.’
They aimed to assess the extent of variation in symptoms of common mental disorders across postcode units and households, and to determine whether the variation could be explained by factors such as quality of the residential environment and the geographical accessibility of local services.
Results
‘The quality of the residential environment was not statistically significantly associated with symptoms of common mental disorder (Table 4) although symptoms were less common in areas with lower REAT scores (more attractive areas).’
The quality of the residential environment was not found to be statistically significantly linked to symptoms of common mental disorders, however, such symptoms tended to be less prevalent in areas with lower REAT scores (more attractive surroundings).
Discussion
‘Our results suggest little variation in symptoms of common mental disorder at the postcode unit level.’
Their findings indicated that symptoms of common mental disorders vary only minimally between postcode units.
Future Directions
Other types of measures in obtaining symptoms of mental health disorders should be researched on. Apart from the physical environment, belief system, lifestyle and psychosocial environment should be considered.
Difficult Material
It was a bit difficult to understand the null model for the binary general health questionnaire (GHQ) outcome.