Short-term effects of heat and cold on respiratory drug use. A time-series epidemiological study in A Coruña, Spain

Self-medication among general population in the European Union: prevalence and associated factors

Self-medication (SM) forms an important part of public health strategy. Nonetheless, little research has been performed to understand the current state of self-medication in the European Union (EU). Utilizing data from the third wave of the European Health Interview Surveys, this study finds an estimated SM prevalence of 34.3% in the EU (95%CI = 34.1-34.5%; n = 255,758). SM prevalence, as well as SM prevalence inequality between men and women, varies substantially between EU member countries. Via multivariable analysis, we also identify a number of variables associated with SM, most notably the substantial impact of health systems on SM behavior (Adjusted Odds Ratio [AOR] = 4.00; 95% Confidence Interval [95%CI] = 3.81-4.21). Several demographics are also associated with greater SM prevalence, including those aged 25-44 (versus ages 75+: AOR = 1.21; 95%CI = 1.12-1.31), women (AOR = 1.74; 95%CI = 1.68-1.81), immigrants born in other EU states (AOR = 1.16; 95%CI = 1.04-1.30), those with higher education (AOR = 1.83; 95%CI = 1.60-2.09), and urban dwellers (AOR = 1.14; 95%CI = 1.04-1.30). Additionally, long-standing health problems (AOR = 1.39; 95%CI = 1.33-1.45), visits to doctors (both general practitioners and specialists) (AOR = 1.21, 95%CIs = 1.15-1.26, 1.17-1.26), and unmet needs for health care due to waiting lists (AOR = 1.38; 95%CI = 1.23-1.55) or inability to afford medical examinations/treatment (AOR = 1.27; 95%CI = 1.12-1.42) serve as conditioners for SM. We also find that smoking (AOR = 1.05; 95%CI = 1.01-1.10), vaping (AOR = 1.19; 95%CI = 1.06-1.32), drinking alcohol (AOR = 1.23; 95%CI = 1.19-1.28), and higher levels of physical activity (AOR = 1.27; 95%CI = 1.22-1.32) are factors associated with SM. Analysis of these variables reveals that though women self-medicate more than men, the patterns that govern their consumption are similar.

Temperature-related effects on respiratory medical prescriptions in Spain

BACKGROUND

The increased risk of mortality during periods of high and low temperatures has been well established. However, most of the studies used daily counts of deaths or hospitalisations as health outcomes, although they are the ones at the top of the health impact pyramid reflecting only a limited proportion of patients with the most severe cases.

OBJECTIVES

This study evaluates the relationship between short-term exposure to the daily mean temperature and medication prescribed for the respiratory system in five Spanish cities.

METHODS

We fitted time series regression models to cause-specific medical prescriptions, including different respiratory subgroups and age groups. We included a distributed lag non-linear model with lags up to 14 days for daily mean temperature. City-specific associations were summarised as overall-cumulative exposure-response curves.

RESULTS

We found a positive association between cause-specific medical prescriptions and daily mean temperature with a non-linear inverted J- or V-shaped relationship in most cities. Between 0.3% and 0.6% of all respiratory prescriptions were attributed to cold for Madrid, Zaragoza and Pamplona, while in cities with only cold effects the attributable fractions were estimated as 19.2% for Murcia and 13.5% for Santander. Heat effects in Madrid, Zaragoza and Pamplona showed higher fractions between 8.7% and 17.2%. The estimated costs are in general higher for heat effects, showing annual values ranging between €191,905 and €311,076 for heat per 100,000 persons.

CONCLUSIONS

This study provides novel evidence of the effects of the thermal environment on the prescription of medication for respiratory disorders in Spain, showing that low and high temperatures lead to an increase in the number of such prescriptions. The consumption of medication can reflect exposure to the environment with a lesser degree of severity in terms of morbidity.

Impact of Extreme Temperatures on Ambulance Dispatches Due to Cardiovascular Causes in North-West Spain

Introduction and objectives. The increase in mortality and hospital admissions associated with high and low temperatures is well established. However, less is known about the influence of extreme ambient temperature conditions on cardiovascular ambulance dispatches. This study seeks to evaluate the effects of minimum and maximum daily temperatures on cardiovascular morbidity in the cities of Vigo and A Coruña in North-West Spain, using emergency medical calls during the period 2005–2017. Methods. For the purposes of analysis, we employed a quasi-Poisson time series regression model, within a distributed non-linear lag model by exposure variable and city. The relative risks of cold- and heat-related calls were estimated for each city and temperature model. Results. A total of 70,537 calls were evaluated, most of which were associated with low maximum and minimum temperatures on cold days in both cities. At maximum temperatures, significant cold-related effects were observed at lags of 3–6 days in Vigo and 5–11 days in A Coruña. At minimum temperatures, cold-related effects registered a similar pattern in both cities, with significant relative risks at lags of 4 to 12 days in A Coruña. Heat-related effects did not display a clearly significant pattern. Conclusions. An increase in cardiovascular morbidity is observed with moderately low temperatures without extremes being required to establish an effect. Public health prevention plans and warning systems should consider including moderate temperature range in the prevention of cardiovascular morbidity.

A time series analysis of the relationship between apparent temperature, air pollutants and ischemic stroke in Madrid, Spain

The understanding of the role of environment on the pathogenesis of stroke is gaining importance in the context of climate change. This study analyzes the temporal pattern of ischemic stroke (IS) in Madrid, Spain, during a 13-year period (2001-2013), and the relationship between ischemic stroke (admissions and deaths) incidence and environmental factors on a daily scale by using a quasi-Poisson regression model. To assess potential delayed and non-linear effects of air pollutants and Apparent Temperature (AT), a biometeorological index which represents human thermal comfort on IS, a lag non-linear model was fitted in a generalized additive model. The mortality rate followed a downward trend over the studied period, however admission rates progressively increased. Our results show that both increases and decreases in AT had a marked relationship with IS deaths, while hospital admissions were only associated with low AT. When analyzing the cumulative effects (for lag 0-14 days), with an AT of 1.7 °C (percentile 5%) a RR of 1.20 (95% CI, 1.05-1.37) for IS mortality and a RR of 1.09 (95% CI, 0.91-1.29) for morbidity is estimated. Concerning gender differences, men show higher risks of mortality in low temperatures and women in high temperatures. No significant relationship was found between air pollutant concentrations and IS morbi-mortality, but this result must be interpreted with caution, since there are strong spatial fluctuations of the former between nearby geographical areas that make it difficult to perform correlation analyses.