Prevalence and predictors of intense, chronic, and XXXX in the UK general population.

@entity4512 @entity1 @entity28 @entity615 @entity4048 @entity158
STUDY DESIGN: Multiphase cross-sectional survey of @entity4512 . OBJECTIVES: To estimate the prevalence of all reported and clinically significant @entity158 . To identify independent predictors of @entity158 . METHODS: A total of 5752 adults sampled from three general practice registers were mailed a screening questionnaire. Subjects who reported the spine as a predominant site of @entity158 were sent a site-specific questionnaire (i.e., back or neck) that asked about severity. Prevalence estimates were calculated and extrapolated to the general population. Predictors of @entity158 were identified using logistic regression with comprehensive adjustment for confounders (including @entity158 at other anatomic sites). RESULTS: The 1-month-period prevalence of all reported @entity158 was 29% (95% confidence interval 27-31%), of which about half was intense, half was chronic, 40% was disabling, and 20% was intense, disabling, and chronic. Most @entity1 with back (75%) or neck (89%) @entity158 also reported @entity158 at other sites. Age, female gender (neck @entity158 only), high body mass index, living in an area of raised material deprivation, and south Asian ethnicity were significant predictors of @entity158 with disability. The association between body mass index and @entity4048 was lost after adjustment for @entity158 at other sites. However, even after full adjustment, @entity28 (OR, 1.7; 95% confidence interval, 1.1-2.5) and high deprivation (OR, 1.7; 95% confidence interval, 1.1-2.7) were predictors of @entity615 with disability. CONCLUSIONS: Adjustment for @entity158 at other sites enabled assessment of whether observed associations were with @entity158 itself or with the other sites of @entity158 . Obesity is an important independent predictor of @entity615 and its severity. This has implications for primary prevention. The prevalence of @entity158 with disability continues to rise into old age. This has implications for healthcare planning.
