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  1. Book ; Online: Associations of air pollution on the brain in children: a brain imaging study

    Guxens, Mònica / Lubczyńska, Małgorzata J. / Pérez-Crespo, Laura / Muetzel, Ryan L. / El Marroun, Hanan / Basagaña, Xavier / Hoek, Gerard / Tiemeier, Henning

    with a critique by the HEI Review Committee

    (Research report / Health Effects Institute ; 209)

    2022  

    Author's details Mònica Guxens, Małgorzata J. Lubczyńska, Laura Pérez-Crespo, Ryan L. Muetzel, Hanan El Marroun, Xavier Basagaña, Gerard Hoek, Henning Tiemeier
    Series title Research report / Health Effects Institute ; 209
    Collection
    Language English
    Size 1 Online-Ressource (ix, 64 Seiten), Illustrationen, Karten
    Publisher Health Effects Institut
    Publishing place Boston, Mass
    Publishing country United States
    Document type Book ; Online
    Note Open Access
    HBZ-ID HT021262100
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Article ; Online: Household air pollution as an important factor in the complex relationship between altitude and COPD.

    Basagaña, Xavier

    The European respiratory journal

    2019  Volume 53, Issue 2

    MeSH term(s) Air Pollution ; Air Pollution, Indoor ; Altitude ; Humans ; Prevalence ; Pulmonary Disease, Chronic Obstructive
    Language English
    Publishing date 2019-02-07
    Publishing country England
    Document type Editorial ; Comment
    ZDB-ID 639359-7
    ISSN 1399-3003 ; 0903-1936
    ISSN (online) 1399-3003
    ISSN 0903-1936
    DOI 10.1183/13993003.02454-2018
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  3. Article ; Online: Re: Re-centering Exposure-Response Curves Without Access to Individual-Level Data.

    Basagaña, Xavier

    Epidemiology (Cambridge, Mass.)

    2019  Volume 31, Issue 2, Page(s) e18–e19

    MeSH term(s) Data Interpretation, Statistical ; Environmental Exposure/adverse effects ; Environmental Exposure/statistics & numerical data ; Humans
    Language English
    Publishing date 2019-10-04
    Publishing country United States
    Document type Letter
    ZDB-ID 1053263-8
    ISSN 1531-5487 ; 1044-3983
    ISSN (online) 1531-5487
    ISSN 1044-3983
    DOI 10.1097/EDE.0000000000001111
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  4. Article ; Online: Reflection on modern methods: visualizing the effects of collinearity in distributed lag models.

    Basagaña, Xavier / Barrera-Gómez, Jose

    International journal of epidemiology

    2021  Volume 51, Issue 1, Page(s) 334–344

    Abstract: Collinearity can be a problem in regression models. When examining the effects of an exposure at different time points, constrained distributed lag models can alleviate some of the problems caused by collinearity. Still, some consequences of collinearity ...

    Abstract Collinearity can be a problem in regression models. When examining the effects of an exposure at different time points, constrained distributed lag models can alleviate some of the problems caused by collinearity. Still, some consequences of collinearity may remain and they are often unexplored. We aimed to illustrate the effects of collinearity in the context of distributed lag models, and to provide a tool to assess whether the results of a study could be influenced by collinearity. We used simulations under different scenarios of hypothesized effects of an exposure to visualize the resulting curves of lagged effects. We analysed three real datasets: a cohort study looking for windows of vulnerability to air pollution, a time series study examining the linear association of air pollution with hospital admissions, and a time series study examining the non-linear association between temperature and mortality. We showed that collinearity could be the explanation for some unexpected results, e.g. for statistically significant associations in the opposite direction from that expected, or for wrongly suggesting that some periods are more important than others. We implemented the collin R package to explore the potential consequences of collinearity in the context of distributed lag models. Our visual tool can be a useful way to assess if the results of an analysis may be influenced by collinearity.
    MeSH term(s) Air Pollution/analysis ; Air Pollution/statistics & numerical data ; Cohort Studies ; Environmental Exposure/analysis ; Environmental Exposure/statistics & numerical data ; Humans ; Particulate Matter/analysis ; Temperature
    Chemical Substances Particulate Matter
    Language English
    Publishing date 2021-08-12
    Publishing country England
    Document type Journal Article
    ZDB-ID 187909-1
    ISSN 1464-3685 ; 0300-5771
    ISSN (online) 1464-3685
    ISSN 0300-5771
    DOI 10.1093/ije/dyab179
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  5. Article ; Online: The methodology of quantitative risk assessment studies.

    Rigaud, Maxime / Buekers, Jurgen / Bessems, Jos / Basagaña, Xavier / Mathy, Sandrine / Nieuwenhuijsen, Mark / Slama, Rémy

    Environmental health : a global access science source

    2024  Volume 23, Issue 1, Page(s) 13

    Abstract: Once an external factor has been deemed likely to influence human health and a dose response function is available, an assessment of its health impact or that of policies aimed at influencing this and possibly other factors in a specific population can ... ...

    Abstract Once an external factor has been deemed likely to influence human health and a dose response function is available, an assessment of its health impact or that of policies aimed at influencing this and possibly other factors in a specific population can be obtained through a quantitative risk assessment, or health impact assessment (HIA) study. The health impact is usually expressed as a number of disease cases or disability-adjusted life-years (DALYs) attributable to or expected from the exposure or policy. We review the methodology of quantitative risk assessment studies based on human data. The main steps of such studies include definition of counterfactual scenarios related to the exposure or policy, exposure(s) assessment, quantification of risks (usually relying on literature-based dose response functions), possibly economic assessment, followed by uncertainty analyses. We discuss issues and make recommendations relative to the accuracy and geographic scale at which factors are assessed, which can strongly influence the study results. If several factors are considered simultaneously, then correlation, mutual influences and possibly synergy between them should be taken into account. Gaps or issues in the methodology of quantitative risk assessment studies include 1) proposing a formal approach to the quantitative handling of the level of evidence regarding each exposure-health pair (essential to consider emerging factors); 2) contrasting risk assessment based on human dose-response functions with that relying on toxicological data; 3) clarification of terminology of health impact assessment and human-based risk assessment studies, which are actually very similar, and 4) other technical issues related to the simultaneous consideration of several factors, in particular when they are causally linked.
    MeSH term(s) Risk Assessment/methods ; Research Design
    Language English
    Publishing date 2024-01-27
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 2092232-2
    ISSN 1476-069X ; 1476-069X
    ISSN (online) 1476-069X
    ISSN 1476-069X
    DOI 10.1186/s12940-023-01039-x
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  6. Article ; Online: Extreme temperatures and sickness absence in the Mediterranean province of Barcelona: An occupational health issue.

    Utzet, Mireia / Ayala-Garcia, Amaya / Benavides, Fernando G / Basagaña, Xavier

    Frontiers in public health

    2023  Volume 11, Page(s) 1129027

    Abstract: Objectives: This study aims to assess the association between daily temperature and sickness absence episodes in the Mediterranean province of Barcelona between 2012 and 2015, according to sociodemographic and occupational characteristics.: Methods: ... ...

    Abstract Objectives: This study aims to assess the association between daily temperature and sickness absence episodes in the Mediterranean province of Barcelona between 2012 and 2015, according to sociodemographic and occupational characteristics.
    Methods: Ecological study of a sample of salaried workers affiliated to the Spanish social security, resident in Barcelona province between 2012 and 2015. The association between daily mean temperature and risk of new sickness absence episodes was estimated with distributed lag non-linear models. The lag effect up to 1 week was considered. Analyses were repeated separately by sex, age groups, occupational category, economic sector and medical diagnosis groups of sickness absence.
    Results: The study included 42,744 salaried workers and 97,166 episodes of sickness absence. The risk of sickness absence increased significantly between 2 and 6 days after the cold day. For hot days there was no association with risk of sickness absence. Women, young, non-manual and workers in the service sector had a higher risk of sickness absence on cold days. The effect of cold on sickness absence was significant for respiratory system diseases (RR: 2.16; 95%CI: 1.68-2.79) and infectious diseases (RR: 1.31; 95%CI: 1.04-1.66).
    Conclusion: Low temperatures increase the risk of having a new episode of sickness absence, especially due to respiratory and infectious diseases. Vulnerable groups were identified. These results suggest the importance of working in indoor and possibly poorly ventilated spaces in the spread of diseases that eventually lead to an episode of sickness absence. It is necessary to develop specific prevention plans for cold situations.
    MeSH term(s) Humans ; Female ; Temperature ; Occupational Health ; Occupational Diseases ; Hot Temperature
    Language English
    Publishing date 2023-02-20
    Publishing country Switzerland
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2711781-9
    ISSN 2296-2565 ; 2296-2565
    ISSN (online) 2296-2565
    ISSN 2296-2565
    DOI 10.3389/fpubh.2023.1129027
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  7. Article ; Online: Conditional Poisson Regression with Random Effects for the Analysis of Multi-site Time Series Studies.

    Barrera-Gómez, Jose / Puig, Xavier / Ginebra, Josep / Basagaña, Xavier

    Epidemiology (Cambridge, Mass.)

    2023  Volume 34, Issue 6, Page(s) 873–878

    Abstract: The analysis of time series studies linking daily counts of a health indicator with environmental variables (e.g., mortality or hospital admissions with air pollution concentrations or temperature; or motor vehicle crashes with temperature) is usually ... ...

    Abstract The analysis of time series studies linking daily counts of a health indicator with environmental variables (e.g., mortality or hospital admissions with air pollution concentrations or temperature; or motor vehicle crashes with temperature) is usually conducted with Poisson regression models controlling for long-term and seasonal trends using temporal strata. When the study includes multiple zones, analysts usually apply a two-stage approach: first, each zone is analyzed separately, and the resulting zone-specific estimates are then combined using meta-analysis. This approach allows zone-specific control for trends. A one-stage approach uses spatio-temporal strata and could be seen as a particular case of the case-time series framework recently proposed. However, the number of strata can escalate very rapidly in a long time series with many zones. A computationally efficient alternative is to fit a conditional Poisson regression model, avoiding the estimation of the nuisance strata. To allow for zone-specific effects, we propose a conditional Poisson regression model with a random slope, although available frequentist software does not implement this model. Here, we implement our approach in the Bayesian paradigm, which also facilitates the inclusion of spatial patterns in the effect of interest. We also provide a possible extension to deal with overdispersed data. We first introduce the equations of the framework and then illustrate their application to data from a previously published study on the effects of temperature on the risk of motor vehicle crashes. We provide R code and a semi-synthetic dataset to reproduce all analyses presented.
    MeSH term(s) Humans ; Time Factors ; Bayes Theorem ; Air Pollution/analysis ; Temperature ; Software ; Air Pollutants/analysis
    Chemical Substances Air Pollutants
    Language English
    Publishing date 2023-09-14
    Publishing country United States
    Document type Meta-Analysis ; Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1053263-8
    ISSN 1531-5487 ; 1044-3983
    ISSN (online) 1531-5487
    ISSN 1044-3983
    DOI 10.1097/EDE.0000000000001664
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  8. Article ; Online: The Sagrada Familia splines.

    Basagaña, Xavier

    Journal of epidemiology and community health

    2015  Volume 69, Issue 11, Page(s) 1033–1034

    MeSH term(s) Air Pollution/adverse effects ; Air Pollution/statistics & numerical data ; Data Interpretation, Statistical ; Humans ; Mortality ; Nonlinear Dynamics ; Space-Time Clustering ; Spain/epidemiology
    Language English
    Publishing date 2015-11
    Publishing country England
    Document type Journal Article
    ZDB-ID 391868-3
    ISSN 1470-2738 ; 0142-467X ; 0141-7681 ; 0143-005X
    ISSN (online) 1470-2738
    ISSN 0142-467X ; 0141-7681 ; 0143-005X
    DOI 10.1136/jech-2015-205672
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    Zs.A 186: Show issues Location:
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  9. Article ; Online: Ambient temperature and risk of motor vehicle crashes: A countrywide analysis in Spain.

    Basagaña, Xavier / de la Peña-Ramirez, Carlos

    Environmental research

    2022  Volume 216, Issue Pt 2, Page(s) 114599

    Abstract: Background: Some studies have documented that cold or hot ambient temperatures increase the risk of motor vehicle crashes. However, the number of existing studies is still limited, especially for the effects of cold.: Objectives: To estimate the ... ...

    Abstract Background: Some studies have documented that cold or hot ambient temperatures increase the risk of motor vehicle crashes. However, the number of existing studies is still limited, especially for the effects of cold.
    Objectives: To estimate the relationship between ambient temperatures and risk of motor vehicle crashes in Spain, and to estimate the same association when restricting to those crashes with driver performance-associated factors (namely distraction, fatigue, sleepiness or disease).
    Methods: We used data for the period 1993-2013. We conducted a time series analysis controlling for seasonality and trends and using the distributed lag nonlinear model framework to estimate nonlinear and delayed effects of up to 7 days. Analyses were conducted at the province level and combined using multivariate meta-analysis.
    Results: The study included 1,908,460 motor vehicle crashes, 37% of them with associated driver performance factors. The overall analysis showed that the risk of crashes increased almost linearly with temperature. The estimates of the cumulative effect of lags 0-7 when comparing the 99th percentile and the first percentile of temperature produced a relative risk (RR) of 1.15 (95% confidence interval (CI): 1.11, 1.20). The estimates were slightly higher when analyses were restricted to crashes with driver performance-associated factors (RR: 1.23, 95% CI: 1.17, 1.30). In some provinces that reached temperatures below 0 °C, an increased risk with cold temperatures was also observed. An added effect of both cold spell and heat wave periods was found only in the analysis of crashes with driver performance-associated factors (cold spells, RR: 1.029, 95% CI: 1.005, 1.053; heat waves, RR: 1.020, 95% CI: 1.002, 1.039).
    Conclusions: The increase of temperature increased the risk of motor vehicle crashes in Spain. Measures aimed at reducing the influence of heat on the risk of motor vehicle crashes can have important benefits for public health.
    MeSH term(s) Accidents, Traffic ; Temperature ; Spain/epidemiology ; Cold Temperature ; Motor Vehicles ; Hot Temperature
    Language English
    Publishing date 2022-10-18
    Publishing country Netherlands
    Document type Meta-Analysis ; Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 205699-9
    ISSN 1096-0953 ; 0013-9351
    ISSN (online) 1096-0953
    ISSN 0013-9351
    DOI 10.1016/j.envres.2022.114599
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  10. Article ; Online: High ambient temperatures and work-related injuries.

    Basagaña, Xavier

    Occupational and environmental medicine

    2014  Volume 71, Issue 4, Page(s) 231

    MeSH term(s) Accidents, Occupational ; Female ; Hot Temperature ; Humans ; Industry ; Male ; Occupational Exposure/adverse effects ; Occupations
    Language English
    Publishing date 2014-04
    Publishing country England
    Document type Comment ; Journal Article
    ZDB-ID 1180733-7
    ISSN 1470-7926 ; 1351-0711
    ISSN (online) 1470-7926
    ISSN 1351-0711
    DOI 10.1136/oemed-2013-102031
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