Abstract:
OBJECTIVES:To calculate the prevalence of disabling chronic pain (DCP) and to offer a more representative and accurate estimation by applying different calibration techniques. SETTINGS:2011 Andalusian Health Survey, a cross-sectional population survey based on face-to-face home interviews. PARTICIPANTS:6507 people aged 16 years or older and living in Andalusia, Spain. OUTCOMES:Design weights, linear calibration based on marginals and on crossings, and model-assisted calibration were used to estimate the prevalence and variance of DCP, for the whole sample and for the domains of sex and age groups (16-44; 45-64; +65). RESULTS:Calibration variables were sex, age groups and educational level. In the whole sample, DCP prevalence calibration reduced by more than 5.2% and 8.2% the estimated prevalences and variances, respectively, obtained with the design weights. Regarding the domains, prevalence reductions are from 33% to 1%, and variance reductions are from 0.2% to 1%. Model-assisted calibration is the best technique to estimate DCP prevalence for the whole population and crossing calibration for their domains, although with almost no differences compared to marginal calibration. CONCLUSIONS:The validity and accuracy of estimations of DCP prevalence are improved by calibration adjustments. Model-assisted calibrated prevalence of DCP is 10.78% for the whole population, being at least 2-fold higher in women in all age groups. The results and methodology developed could be useful in clinical and population-based studies on chronic pain and disability.
journal_name
BMJ Openjournal_title
BMJ openauthors
Cabrera-León A,Rueda M,Cantero-Braojos Mdoi
10.1136/bmjopen-2016-014033subject
Has Abstractpub_date
2017-01-30 00:00:00pages
e014033issue
1issn
2044-6055pii
bmjopen-2016-014033journal_volume
7pub_type
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