![]() ![]() A total of 10,584 participants had complete baseline information and at least one pain entry, with 6850 (65%) participants remaining in the study beyond their first week and 4692 (44%) beyond their first month ( Fig.ResultsRecruitment and retention The study app was downloaded by 13,207 users over the 12-month recruitment period ( Figs 1 and 2a) with recruitment from all 124 UK postcode areas.They have supported the interpretation of findings and the development of dissemination plans for the results, ensuring the results reach study participants, patient organizations and the general public. and other members of the Patient and Public Involvement Group were involved in media broadcasts at study launch and subsequent public engagement activities, explaining why the research question was important to them and relevant to patients with long-term pain conditions. MethodsPatient involvement Patient involvement has been important throughout the study, from inception to interpretation of the results.Collecting this kind of multi-faceted data in large populations over long periods of time, has been difficult.Such data need to include other factors potentially linked to daily pain variation and weather, such as mood and amount of physical activity.Resolving this question requires collection of high-quality symptom and weather data on large numbers of individuals ![]() Studies have failed to reach consensus in part due to their small sample sizes or short durations by considering a limited range of weather conditions and heterogeneity in study design.IntroductionWeather has been thought to affect symptoms in patients with chronic disease since the time of Hippocrates over 2000 years ago.Such an increased risk may be meaningful to people living with chronic pain.The odds of a pain event was 12% higher per one standard deviation increase in relative humidity (9 percentage points) ( OR 1.119 (1.084–1.154), compared to 4% lower for pressure ( OR 0.958 (0.930–0.989) and 4% higher for wind speed ( OR 1.041 (1.010–1.073) (11 mbar and 2 m s−1, respectively).The ‘worst’ combination of weather variables would increase the odds of a pain event by just over 20% compared to an average day.The effect of weather on pain was not fully explained by its day-to-day effect on mood or physical activity.The most significant contribution was from relative humidity.This study has demonstrated that higher relative humidity and wind speed, and lower atmospheric pressure, were associated with increased pain severity in people with long-term pain conditions.Weather has been thought to affect symptoms in patients with chronic disease since the time of Hippocrates over 2000 years ago. ![]()
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