Percorrer por autor "Comte, Nina Cadeau"
A mostrar 1 - 2 de 2
Resultados por página
Opções de ordenação
- Climatic sensitivity of migraine : a 14-year time series analysis of primary care consultations in SpainPublication . Cuenca-Zaldívar, Juan Nicolás; Villar, Carmen Corral del; Torres, Silvia García; Zamora, Rafael Araujo; Peña, Paula Gragera; Comte, Nina Cadeau; Almeida, André Mariz de; Sillevis, Rob; Sánchez-Romero, Eleuterio A.; Cid-Verdejo, RosanaBackground: Climatic variability has been proposed as a trigger for migraine; however, evidence from long-term primary care datasets remains scarce. Understanding how atmospheric conditions influence healthcare utilization may improve migraine prediction and management. This study aimed to analyze the association between climatic variables and weekly migraine consultations over a 14-year period in Spanish primary care and to identify the most accurate predictive time-series model. Methods: Weekly migraine consultations from 2010 to 2023 were extracted from electronic medical records using the International Classification of Primary Care, Second Edition (ICPC-2) code N89.01. Meteorological variables—temperature, diurnal variability, day-to-day change, wind direction and speed, barometric pressure, and sunshine hours—were obtained from the Spanish State Meteorological Agency (AEMET). Time-series analyses used exponential smoothing state-space models with external regressors (ETSX) and AutoRegressive Integrated Moving Average models with eXogenous regressors (ARIMAX). Model performance was assessed using Root Mean Squared Error (RMSE), Symmetric Mean Absolute Percentage Error (SMAPE), and Mean Absolute Scaled Error (MASE). Results: A total of 3176 migraine consultations were identified (mean age 47.6 ± 15.3 years; 81.7% female). The ARIMAX model showed the best predictive performance (RMSE = 3.485, SMAPE = 73.840, MASE = 0.875). Stationarity was confirmed using the Augmented Dickey–Fuller test (p = 0.01), and residuals showed no autocorrelation (Ljung–Box test, p = 0.833). After multivariable adjustment, female sex was the only variable independently associated with weekly migraine consultations; temperature, barometric pressure, diurnal variability, and wind speed showed no independent effects. Forecasting indicated a stable trend over the subsequent four years. Conclusions: This long-term time-series analysis showed that female sex was the only variable independently associated with weekly migraine consultations in primary care. Although most atmospheric indicators did not retain significance, climate-informed ARIMAX modeling improved prediction accuracy and may support personalized, weather-adapted preventive strategies.
- Evaluating online information on temporomandibular disorders : readability, reliability, content and quality : a scoping review protocolPublication . Nova, Carolina Venda; Silva, Jessica; Faustino, Natacha; Cuenca-Zaldívar, Juan Nicolás; Comte, Nina Cadeau; Sillevis, Rob; Sánchez Romero, Eleuterio A.; Almeida, André Mariz deIntroduction: Temporomandibular disorders (TMDs) are a prevalent group of musculoskeletal conditions affecting the temporomandibular joint, associated structures and masticatory muscles. The internet has become a primary source of health information for many patients; however, the readability, reliability, content and quality of online information on TMDs vary widely. A comprehensive synthesis of the characteristics and evaluation methods of such content is currently lacking. Methods and analysis: This scoping review will follow the Joanna Briggs Institute methodology and be reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews checklist. Peer-reviewed primary and secondary studies assessing online information on TMDs will be included if they report on readability, reliability, content or quality. Eligible information sources include publicly available websites, videos and social media; discussion forums and printed materials will be excluded. No language, date or geographical restrictions will be applied. A three-step search strategy will be implemented across PubMed, Web of Science, Embase, PsycINFO and CINAHL, followed by citation tracking. Screening will be conducted independently by two reviewers using Rayyan. Data will be extracted with a pilot-tested charting tool and synthesised narratively and descriptively in tabular and graphical formats.