No abstract

Headache prevalence, characteristics and impact in adults were measured using a cross-sectional general population survey in North Staffordshire, UK. A postal survey was mailed out to 4885 adults (aged > or = 18 years) with an adjusted response rate of 56% (n = 2662). Of respondents 93% reported headache ever and 70% in the last 3 months. Women and younger people reported higher headache prevalences. Of those reporting headache in the last 3 months, 23% experienced headache at least weekly and 16% experienced severe headache pain. Headaches affected work, home or social activities in 43% of sufferers and 20% reported at least moderate headache-related disability. Higher levels of disability were associated with higher levels of pain, 61% with severe disability reporting severe pain compared with 13% who had mild or moderate disability. In the total adult population sample headache affected more than two-thirds in the last 3 months and 14% of all adults reported headache-related disability of at least moderate level, which translates to a large burden in the general population.

The objective of this study was to determine predictors of onset of new headache episodes and recovery from headache over one year. A population-based cohort study was conducted, comprising a baseline postal survey to a random sample of adults aged>or=18 years, with follow-up survey after 1 year. Risk factor data at baseline were compared with headache status at follow-up in two groups: (i) those free of recent headache at baseline and (ii) those with a recent headache at baseline. In respondents free of recent headache at baseline, previous headache [risk ratio (RR) 4.15], the presence of other pain at baseline (RR 1.43), severe sleep problems (RR 1.67) and drinking caffeine (RR 1.99) increased the risk of a new headache episode during the follow-up year. In respondents with recent headache at baseline, less severe headaches at baseline predicted recovery during the follow-up year, as did the absence of anxiety [recovery ratio (ReR) 2.84] and of sleep problems (ReR 2.77). Risks for increased headache-related disability reflected those for onset of a new episode and these risks increased in strength for large increases in disability. Sleep problems and caffeine consumption increase the risk of developing headache and thus provide targets for prevention. Low levels of anxiety, sleep problems and the absence of other pain improve the likelihood of recovering and remaining free from headache.

The KNEST appears to be a reliable and valid composite tool for the study of population needs and outcomes of care for people aged over 55 yr with knee pain.

Study objective: There has been little prospective investigation of what predicts general practice consultation. The objective of this study was to investigate the extent to which previous primary care consultation and self reported health status are predictors of future primary care consultation. Design: Population based cohort study in two phases. Firstly, a baseline survey (1995/96) to identify the cohort and to obtain self reported health status using the UK census limiting long term illness (LLI) question and the Short Form-36 (SF-36) health profile. Secondly, analysis of general practice medical records for two years (1994/1995) before the survey and for two years (1997/1998) after the survey. Analysis was performed on: (a) all contacts coded by the GP, (b) the subgroup of contacts given a diagnostic morbidity code by the GP. Setting: One general practice in North Staffordshire, UK. Participants: 738 survey respondents who had consented to viewing of medical records including all those who reported LLI together with an age-gender matched control group of those who reported no LLI. Main results: High frequency consulters in 1994/95 were more likely than non-consulters or average consulters in that year to be high consulters in 1997/98 (odds ratio 5.6, 95% confidence interval 3.82 to 8.25, for all contacts; 4.4 for diagnostic coded consultations). Self reported role disability and physical limitation from the SF-36 at baseline increased the probability of being a future high consulter but the effects were weaker than for previous consultation. Previous consultation within a diagnostic group was the main predictor for future consultation within that group with weaker but significant prediction by self reported health status. Conclusions: Reliable morbidity coding in general practice provides the best available basis for predicting future demand in primary care. Self reported health status survey instruments add to this information but on their own are weaker predictors of future consultation.