Temporal trends and demographic risk factors for hospital admissions due to carbon monoxide poisoning in England

Roca-Barceló, Aina; Crabbe, Helen; Ghosh, Rebecca; Sterrantino, Anna Freni; Fletcher, Tony; Leonardi, Giovanni; Hoge, Courtney; Hansell, Anna; Piel, Frédéric B.

doi:10.1016/j.ypmed.2020.106104

Cited by 19 publications

(27 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Security concerns may arise from living in low-income areas, lowering rates of window opening, reducing ventilation and the removal of pollutants from indoor sources; 70% of respondents in London reported only opening one or no windows at night due to security risks in a survey on occupant behaviour (Mavrogianni et al 2017). Window-opening behaviours between households of different SES have been suggested as a driver of inequalities in CO poisoning (Roca-Barceló et al 2020).…”

Section: Low Ses Communities Have Behaviours That Can Aggravate Indoor Concentrationsmentioning

confidence: 99%

Systemic inequalities in indoor air pollution exposure in London, UK

Ferguson

Taylor

Shrubsole

et al. 2021

Buildings and Cities

View full text Add to dashboard Cite

Deprived communities in many cities are exposed to higher levels of outdoor air pollution, and there is increasing evidence of similar disparities for indoor air pollution exposure. There is a need to understand the drivers for this exposure disparity in order to develop effective interventions aimed at improving population health and reducing health inequities. With a focus on London, UK, this paper assembles evidence to examine why indoor exposure to PM 2.5 , NO x and CO may disproportionately impact low-income groups. In particular, five factors are explored, namely: housing location and ambient outdoor levels of pollution; housing characteristics, including ventilation properties and internal sources of pollution; occupant behaviours; time spent indoors; and underlying health conditions. Evidence is drawn from various sources, including building physics models, modelled outdoor air pollution levels, time-activity surveys, housing stock surveys, geographical data, and peer-reviewed research. A systems framework is then proposed to integrate these factors, highlighting how exposure to high levels of indoor air pollution in low-income homes is in large part due to factors beyond the control of occupants, and is therefore an area of systemic inequality. POLICY RELEVANCEThere is increasing public and political awareness of the impact of air pollution on public health. Strong scientific evidence links exposure to air pollution with morbidity and mortality.

show abstract

Section: Low Ses Communities Have Behaviours That Can Aggravate Indoor Concentrationsmentioning

confidence: 99%

Systemic inequalities in indoor air pollution exposure in London, UK

Ferguson

Taylor

Shrubsole

et al. 2021

Buildings and Cities

View full text Add to dashboard Cite

show abstract

“…Several studies have illustrated that the incidence of CO poisoning varies with different seasons ( 13 , 16 , 24 ) and temperature changes are the leading risk factors. A previous study by Shie HG et al in Taiwan found that while the daily maximum temperature was lower than 18.4°C, the odds ratio for unintentional CO poisoning incidence was increased 2.15 times, compared to the odds ratio when the temperature exceeded 27.1°C ( 8 ).…”

Section: Discussionmentioning

confidence: 99%

“…A previous study by Tiekuan Du et al in Beijing indicated that temperature was inversely correlated with the incidence of acute CO poisoning ( r = −0.467) ( 12 ). Another study from Roca-Barceló Aina et al in the UK also demonstrated clear seasonality in the incidence of acute CO poisoning ( 13 ). However, the risk factors may vary depending on the intention behind the CO poisoning; for example, unintentional CO poisonings probably related to improper installation of household heating systems ( 14 ) were associated with seasonal variations or particular weather conditions, such as colder seasons or sudden changes in temperature ( 15 – 17 ).…”

Section: Introductionmentioning

confidence: 91%

Quantifying the Effects of Climate Factors on Carbon Monoxide Poisoning: A Retrospective Study in Taiwan

Wang

Shao

Chang

et al. 2021

Front. Public Health

View full text Add to dashboard Cite

Background: Carbon monoxide (CO) poisoning is the leading cause of poisoning death worldwide, but associations between CO poisoning and weather remain unclear.Objective: To quantify the influence of climate parameters (e.g., temperature, relative humidity, and wind speed) on the incidence risk of acute CO poisoning in Taiwan.Methods: We used negative binomial mixed models (NBMMs) to evaluate the influence of weather parameters on the incidence risk of acute CO poisoning. Subgroup analyses were conducted, based on the seasonality and the intentionality of acute CO poisoning cases.Results: We identified a total of 622 patients (mean age: 32.9 years old; female: 51%) with acute CO poisoning in the study hospital. Carbon monoxide poisoning was associated with temperature (beta: −0.0973, rate ratio (RR): 0.9073, p < 0.0001) but not with relative humidity (beta: 0.1290, RR: 1.1377, p = 0.0513) or wind speed (beta: −0.4195, RR: 0.6574, p = 0.0806). In the subgroup analyses, temperature was associated with the incidence of intentional CO poisoning (beta: 0.1076, RR: 1.1136, p = 0.0333) in spring and unintentional CO poisoning (beta: −0.1865, RR: 0.8299, p = 0.0184) in winter.Conclusion: Changes in temperature affect the incidence risk for acute CO poisoning, but the impact varies with different seasons and intentionality in Taiwan. Our findings quantify the effects of climate factors and provide fundamental evidence for healthcare providers to develop preventative strategies to reduce acute CO poisoning events.

show abstract

“…[5] Serious ACOP can affect the prognosis of patients and the quality of their life, meanwhile signi cantly increasing the burden on the family and society. In the past few years, based on several national studies, the burden of ACOP has been reported in several articles sporadically, such as the United Kingdom [6,7], the United States of America [8,9], New Zealand [10], and China [11]. Lippi and Mattiuzzi did a limited analysis of global ACOP data of "Global Burden of Disease Study 2017" (GBD 2017).…”

Section: Introductionmentioning

confidence: 99%

“…On the one hand, it may be caused by errors in some data. On the other hand, taking the United Kingdom as an example, Roca-Barceló et al [6] investigated the epidemiology of carbon monoxide poisoning in the United Kingdom. They found that the morbidity of ACOP has obvious area-level characteristics (i.e., deprivation, rurality, and ethnicity) from 2002 to 2016.…”

mentioning

confidence: 99%