Case-Crossover Analysis of Air Pollution Health Effects: A Systematic Review of Methodology and Application

Case-crossover is one of the most used designs for analyzing the health-related effects of air pollution. Nevertheless, no one has reviewed its application and methodology in this context. Objective: We conducted a systematic review of case-crossover (CCO) designs used to study the relationship between air pollution and morbidity and mortality, from the standpoint of methodology and application.Data sources and extraction: A search was made of the MEDLINE and EMBASE databases.Reports were classified as methodologic or applied. From the latter, the following information was extracted: author, study location, year, type of population (general or patients), dependent variable(s), independent variable(s), type of CCO design, and whether effect modification was analyzed for variables at the individual level. Data synthesis: The review covered 105 reports that fulfilled the inclusion criteria. Of these, 24 addressed methodological aspects, and the remainder involved the design’s application. In the methodological reports, the designs that yielded the best results in simulation were symmetric bidirectional CCO and time-stratified CCO. Furthermore, we observed an increase across time in the use of certain CCO designs, mainly symmetric bidirectional and time-stratified CCO. The dependent variables most frequently analyzed were those relating to hospital morbidity; the pollutants most often studied were those linked to particulate matter. Among the CCO-application reports, 13.6% studied effect modification for variables at the individual level.Conclusions: The use of CCO designs has undergone considerable growth; the most widely used designs were those that yielded better results in simulation studies: symmetric bidirectional and time-stratified CCO. However, the advantages of CCO as a method of analysis of variables at the individual level are put to little use

Creencias sesgadas respecto al grado de "dureza" de algunas drogas en estudiantes universitarios

El objetivo de esta investigación es evaluar las creencias de los estudiantes universitarios respecto a la dureza de diez drogas: anfetaminas, café, heroína, barbitúricos, marihuana, ansiolíticos, tabaco, alcohol, cocaína y té. Ciento cincuenta y cinco estudiantes de Psicología debían indicar si creían que estas sustancias eran o no drogas duras. Los resultados indican que aunque existe consenso a la hora de clasificar como drogas duras a la heroína y la cocaína y como drogas blandas al tabaco, el café y el té, no existe acuerdo respecto a la clasificación de las otras sustancias. Asimismo se observa que aunque la OMS clasifica el alcohol como una droga altamente peligrosa, menos de la mitad de sujetos lo consideran una droga dura. En general los sujetos tienden a considerar las drogas legales como menos duras independientemente de si los efectos nocivos para la salud. Estos resultados adquieren relevancia cuando lo que se pone en juego es la fiabilidad y validez de los datos obtenidos en diferentes investigaciones que utilizan habitualmente esos conceptos

Time-series regression models to study the short-term effects of environmental factors on health

Time series regression models are especially suitable in epidemiology for evaluating short-term effects of time-varying exposures on health. The problem is that potential for confounding in time series regression is very high. Thus, it is important that trend and seasonality are properly accounted for. Our paper reviews the statistical models commonly used in time-series regression methods, specially allowing for serial correlation, make them potentially useful for selected epidemiological purposes. In particular, we discuss the use of time-series regression for counts using a wide range Generalised Linear Models as well as Generalised Additive Models. In addition, recently critical points in using statistical software for GAM were stressed, and reanalyses of time series data on air pollution and health were performed in order to update already published. Applications are offered through an example on the relationship between asthma emergency admissions and photochemical air pollutants