Statistical Analysis Plan for the AIRCARD Study: Individual Long-Term Air and Noise Pollution Exposure and Cardiovascular Disease Incidence and Mortality – A Prospective Cohort Study Utilizing DANCAVAS and VIVA Screening Trials: Individual Long-Term Air and Noise Pollution Exposure and Cardiovascular Disease Incidence and Mortality - A Prospective Cohort Study Utilizing DANCAVAS and VIVA Screening Trials
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| Název: | Statistical Analysis Plan for the AIRCARD Study: Individual Long-Term Air and Noise Pollution Exposure and Cardiovascular Disease Incidence and Mortality – A Prospective Cohort Study Utilizing DANCAVAS and VIVA Screening Trials: Individual Long-Term Air and Noise Pollution Exposure and Cardiovascular Disease Incidence and Mortality - A Prospective Cohort Study Utilizing DANCAVAS and VIVA Screening Trials |
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| Autoři: | Stephan Peronard Mayntz, Roda Abdulkadir Mohamed, Anna Mejldal, Jens-Jakob Kjer Møller, Jes Sanddal Lindholt, Axel Cosmos Pyndt Diederichsen, Lise Marie Frohn, Jess Lambrechtsen |
| Zdroj: | Mayntz, S P, Mohamed, R A, Mejldal, A, Møller, J J K, Lindholt, J S, Diederichsen, A C P, Frohn, L M & Lambrechtsen, J 2025, 'Statistical Analysis Plan for the AIRCARD Study : Individual Long-Term Air and Noise Pollution Exposure and Cardiovascular Disease Incidence and Mortality-A Prospective Cohort Study Utilizing DANCAVAS and VIVA Screening Trials', Cardiology (Switzerland), vol. 150, no. 1, pp. 56-62. https://doi.org/10.1159/000539459 |
| Informace o vydavateli: | S. Karger AG, 2024. |
| Rok vydání: | 2024 |
| Témata: | Male, Statistical analysis plan, Noise/adverse effects, Air pollution, 01 natural sciences, 03 medical and health sciences, 0302 clinical medicine, Noise pollution, 11. Sustainability, Air Pollutants/adverse effects, Humans, Prospective Studies, VIVA, Cardiovascular Diseases/mortality, Proportional Hazards Models, Aged, 0105 earth and related environmental sciences, Incidence, Air Pollution/adverse effects, Cardiovascular disease, Denmark/epidemiology, 3. Good health, Prospective cohort study, 13. Climate action, DANCAVAS, Environmental Exposure/adverse effects |
| Popis: | Introduction: The AIRCARD study is designed to investigate the relationship between long-term exposure to air and noise pollution and cardiovascular disease incidence and mortality. We aim to conduct a robust prospective cohort analysis assessing the cumulative and differential impacts of air and noise pollution exposure on cardiovascular disease and mortality. This study will adjust for relevant confounders, including traditional cardiovascular risk factors, socioeconomic indicators, and lipid-lowering agents. Methods: This prospective cohort study will include 27,022 male participants aged 65–74, recruited from the two large Danish DANCAVAS and VIVA trials, both population-based randomized, multicentered, clinically controlled studies. We will assess long-term exposure to air pollutants using the state-of-the-art DEHM/UBM/AirGIS modeling system and noise pollution through the Nord2000 and SoundPLAN models, covering data from 1979 to 2019. This statistical analysis plan is strictly formulated to predefine the analytical approach for all outcomes and key study variables before data access. The primary analysis will utilize Cox proportional hazards models, adjusted for confounders identified in our cohort (age, body mass index, hypertension, diabetes, smoking status, family history of heart disease, socioeconomic factors, and lipid-lowering agents). This statistical analysis plan further includes Spearman rank correlation to explore inter-pollutant associations. Conclusion: The AIRCARD study addresses global concerns about the impact of air and noise pollution on cardiovascular disease. This research is important for understanding how the pollutants contribute to cardiovascular disease. We aim to provide insights into this area, emphasizing the need for public health measures to mitigate pollution exposure. Our goal is to provide policymakers and healthcare professionals with information on the role of environmental factors in cardiovascular health that could influence global strategies to reduce the cardiovascular disease burden associated with pollution. The design of this SAP ensures transparency and verifiability, considering the complexities of evaluating environmental health impacts over an extended period. |
| Druh dokumentu: | Article |
| Jazyk: | English |
| ISSN: | 1421-9751 0008-6312 |
| DOI: | 10.1159/000539459 |
| Přístupová URL adresa: | https://pubmed.ncbi.nlm.nih.gov/38952116 https://pure.au.dk/portal/en/publications/38046a23-5713-45f2-9744-392fabbefe9b https://doi.org/10.1159/000539459 http://www.scopus.com/inward/record.url?scp=85215655730&partnerID=8YFLogxK |
| Rights: | URL: https://karger.com/pages/terms-and-conditions |
| Přístupové číslo: | edsair.doi.dedup.....0bf2d90817208f4a2550d6138c80eb89 |
| Databáze: | OpenAIRE |
| Abstrakt: | Introduction: The AIRCARD study is designed to investigate the relationship between long-term exposure to air and noise pollution and cardiovascular disease incidence and mortality. We aim to conduct a robust prospective cohort analysis assessing the cumulative and differential impacts of air and noise pollution exposure on cardiovascular disease and mortality. This study will adjust for relevant confounders, including traditional cardiovascular risk factors, socioeconomic indicators, and lipid-lowering agents. Methods: This prospective cohort study will include 27,022 male participants aged 65–74, recruited from the two large Danish DANCAVAS and VIVA trials, both population-based randomized, multicentered, clinically controlled studies. We will assess long-term exposure to air pollutants using the state-of-the-art DEHM/UBM/AirGIS modeling system and noise pollution through the Nord2000 and SoundPLAN models, covering data from 1979 to 2019. This statistical analysis plan is strictly formulated to predefine the analytical approach for all outcomes and key study variables before data access. The primary analysis will utilize Cox proportional hazards models, adjusted for confounders identified in our cohort (age, body mass index, hypertension, diabetes, smoking status, family history of heart disease, socioeconomic factors, and lipid-lowering agents). This statistical analysis plan further includes Spearman rank correlation to explore inter-pollutant associations. Conclusion: The AIRCARD study addresses global concerns about the impact of air and noise pollution on cardiovascular disease. This research is important for understanding how the pollutants contribute to cardiovascular disease. We aim to provide insights into this area, emphasizing the need for public health measures to mitigate pollution exposure. Our goal is to provide policymakers and healthcare professionals with information on the role of environmental factors in cardiovascular health that could influence global strategies to reduce the cardiovascular disease burden associated with pollution. The design of this SAP ensures transparency and verifiability, considering the complexities of evaluating environmental health impacts over an extended period. |
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| ISSN: | 14219751 00086312 |
| DOI: | 10.1159/000539459 |
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