Fatores socioeconômicos aumentam os efeitos nocivos da poluição atmosférica e da temperatura na mortalidade

Rodrigues, Poliany Cristiny de Oliveira; Ignotti, Eliane; Hacon, Sandra de Souza

doi:10.1590/1980-549720190011

Cited by 3 publications

(1 citation statement)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Their study demonstrates how populations in precarious living conditions are more vulnerable to breathing problems as they are more exposed to unsanitary environmental conditions. The uneven geographical distribution of living conditions and urban traffic is another key factor to be considered, as differential exposure contributes to the effects of particulate matters, and it can increase the risk of mortality from respiratory diseases (Rodrigues et al, 2019). Other authors such as Forastiere et al (2007) argue that environmental impacts can significantly contribute to social inequality at a local scale.…”

Section: Introductionmentioning

confidence: 99%

Relationship between respiratory diseases and environmental conditions: a time-series analysis in Eastern Amazon

Moura

Vitorino

Cirino

et al. 2021

Rev. Bras. Ciênc. Ambient.

View full text Add to dashboard Cite

This study examines the relationship between the time-series analysis of climate, deforestation, wildfire, Aerosol Optical Depth (AOD), and hospital admissions for respiratory diseases in the Eastern Amazon. Through a descriptive study with an ecological approach of an 18-year time-series analysis, we made a statistical analysis of two pre-established periods, namely, the rainy season and the dry season. On a decadal scale, analyzing the signals of climate indices [i.e., the Southern Oscillation Index (SOI) and the Atlantic Meridional Mode (AMM)], the city of Marabá presents correlations between hospital admissions, wildfire, and AOD. This is not observed with the same accuracy in Santarém. On a seasonal scale, our analysis demonstrated how both cities in this research presented an increase in the number of hospital admissions during the dry season: Marabá, 3%; Santarém, 5%. The same season also presented a higher number of fire outbreaks, AOD, and higher temperatures. The AOD monthly analysis showed that the atmosphere of Marabá may be under the influence of other types of aerosols, such as those from mining activities. There is a time lag of approximately 2 months in the records of wildfire in the city. Such lag is not found in Santarém. The linear regression analysis shows that there is a correlation above 64% (Marabá) and 50% (Santarém), which is statistically significant because it proves that the number of hospital admissions for respiratory diseases is dependable on the AOD value. From the cities in the study, Marabá presents the highest incidence of wildfire, with an average of 188.5— the average in Santarém is 68.7—, and therefore the highest AOD value, with an average of 0.66 (Santarém, 0.47), both during the dry season. It is evident that the climate component has a relevant contribution to the increase in the number of hospital admissions, especially during the rainy season, where there are few or no records of wildfires.

show abstract

Section: Introductionmentioning

confidence: 99%

Relationship between respiratory diseases and environmental conditions: a time-series analysis in Eastern Amazon

Moura

Vitorino

Cirino

et al. 2021

Rev. Bras. Ciênc. Ambient.

View full text Add to dashboard Cite

show abstract

Air Pollution and Environmental Justice in Latin America: Where Are We and How Can We Move Forward?

Slovic

Kanai

Soriano

2022

Curr Envir Health Rpt

View full text Add to dashboard Cite

Burden of non-communicable diseases attributable to dietary risks in Brazil, 1990-2019: an analysis of the Global Burden of Disease Study 2019

Machado

Parajára

Guedes

et al. 2022

Rev. Soc. Bras. Med. Trop.

View full text Add to dashboard Cite

Introduction: An unhealthy diet is a modifiable risk factor for non-communicable diseases (NCDs), one of the most important public health problems in Brazil. This study aimed to analyze the burden of NCDs attributable to dietary risks in Brazil between 1990-2019. Methods: Secondary data from the Global Burden of Disease Study were used to estimate the burden attributable to fifteen dietary risks in Brazil. The main sources of data for Brazil were national surveys and international databases. A comparative risk assessment was used to obtain the population attributable fraction. We described the intake of each dietary risk and the distribution of number and rates of deaths and Disability-adjusted life years (DALYs) attributable to diet by sex, age, state, and year from 1990-2019. Results: Cardiovascular diseases, diabetes mellitus, and neoplasms were the main NCDs attributable to an unhealthy diet. Age-standardized mortality and DALYs rates attributable to unhealthy diet decreased between 1990-2019 (-51.5% and -48.8, respectively). Diet high in red meat and sodium, and low in whole grains were the three main risk factors contributing to the burden of NCDs both in 1990 and 2019. The burden of NCDs was higher among males in the middle-aged population (around 50 years), as well as in the states of Maranhão, Rio de Janeiro, and Alagoas. Conclusions: The present study found a suboptimum diet among the Brazilian population. The major contributors to this burden were diet high in red meat and sodium and low in whole grains. This study supports priorities in public policies on food and nutrition to reduce the burden of NCDs.

show abstract

Fatores socioeconômicos aumentam os efeitos nocivos da poluição atmosférica e da temperatura na mortalidade

Cited by 3 publications

References 27 publications

Relationship between respiratory diseases and environmental conditions: a time-series analysis in Eastern Amazon

Relationship between respiratory diseases and environmental conditions: a time-series analysis in Eastern Amazon

Air Pollution and Environmental Justice in Latin America: Where Are We and How Can We Move Forward?

Burden of non-communicable diseases attributable to dietary risks in Brazil, 1990-2019: an analysis of the Global Burden of Disease Study 2019

Contact Info

Product

Resources

About