Particulate air pollution and short-term mortality due to specific causes among the elderly in Madrid (Spain): seasonal differences

2011 ◽  
Vol 21 (5) ◽  
pp. 372-390 ◽  
Author(s):  
Eva Jiménez ◽  
Cristina Linares ◽  
David Martínez ◽  
Julio Díaz
2012 ◽  
Vol 18 (4-2) ◽  
pp. 675-679 ◽  
Author(s):  
Klea Katsouyanni

Exposure to air pollution, especially from particulate matter, is generally accepted to be one of the most important public health problems in Europe and worldwide. The effects caused in the general population are associated with relatively small relative risks, but if the ubiquity of exposure is considered, the attributable number of events is large. Furthermore, there is evidence that the effects in sensitive population subgroups (such as the elderly, those with chronic diseases and children) are stronger. Within large European Union funded collaborative projects (such as the Air Pollution and Health: a European Approach-APHEA), effect modification by geographical characteristics has been investigated and it was found that in warmer countries, in locations where particles come from traffic and where the proportion of the elderly is greater, particle toxicity is increased. These characteristics are particularly relevant to Southern European locations. From other projects we know that meteorological, climatic, environmental and socioeconomic factors are effect modifiers of the effects of specific air pollutants. In this presentation we will show the evidence on the short-term health effects of particulate and gaseous air pollutants and emphasize particularly results concerning southern Europe and potential effect modifiers. The gaps in knowledge and the need to study air pollution in Southern European countries more extensively will be demonstrated. To conduct useful research, good quality air pollution and health data are needed.


2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Luyi Li ◽  
Dayu Hu ◽  
Wenlou Zhang ◽  
Liyan Cui ◽  
Xu Jia ◽  
...  

Abstract Background The adverse effects of particulate air pollution on heart rate variability (HRV) have been reported. However, it remains unclear whether they differ by the weight status as well as between wake and sleep. Methods A repeated-measure study was conducted in 97 young adults in Beijing, China, and they were classified by body mass index (BMI) as normal-weight (BMI, 18.5–24.0 kg/m2) and obese (BMI ≥ 28.0 kg/m2) groups. Personal exposures to fine particulate matter (PM2.5) and black carbon (BC) were measured with portable exposure monitors, and the ambient PM2.5/BC concentrations were obtained from the fixed monitoring sites near the subjects’ residences. HRV and heart rate (HR) were monitored by 24-h Holter electrocardiography. The study period was divided into waking and sleeping hours according to time-activity diaries. Linear mixed-effects models were used to investigate the effects of PM2.5/BC on HRV and HR in both groups during wake and sleep. Results The effects of short-term exposure to PM2.5/BC on HRV were more pronounced among obese participants. In the normal-weight group, the positive association between personal PM2.5/BC exposure and high-frequency power (HF) as well as the ratio of low-frequency power to high-frequency power (LF/HF) was observed during wakefulness. In the obese group, personal PM2.5/BC exposure was negatively associated with HF but positively associated with LF/HF during wakefulness, whereas it was negatively correlated to total power and standard deviation of all NN intervals (SDNN) during sleep. An interquartile range (IQR) increase in BC at 2-h moving average was associated with 37.64% (95% confidence interval [CI]: 25.03, 51.51%) increases in LF/HF during wakefulness and associated with 6.28% (95% CI: − 17.26, 6.15%) decreases in SDNN during sleep in obese individuals, and the interaction terms between BC and obesity in LF/HF and SDNN were both statistically significant (p <  0.05). The results also suggested that the effects of PM2.5/BC exposure on several HRV indices and HR differed in magnitude or direction between wake and sleep. Conclusions Short-term exposure to PM2.5/BC is associated with HRV and HR, especially in obese individuals. The circadian rhythm of HRV should be considered in future studies when HRV is applied. Graphical abstract


Circulation ◽  
2021 ◽  
Vol 143 (Suppl_1) ◽  
Author(s):  
Fan He ◽  
Julio Fernandez-Mendoza ◽  
Jeff D Yanosky ◽  
Vernon M Chinchilli ◽  
Laila Al-shaar ◽  
...  

Introduction: Sleep deprivation and large sleep variability are potential risk factors for obesity and cardiovascular diseases. While it is plausible that particulate air pollution may contribute to these unfavorable sleep patterns, very few studies have been conducted to assess the association between fine particulate (PM 2.5 ) air pollution and objectively measured sleep duration and its variability in an adolescent U.S. population. Hypothesis: We tested the hypothesis that higher individual-level short-term PM 2.5 exposure is associated with shorter sleep duration and higher sleep variability among adolescents. Methods: We analyzed the available data collected from 421 adolescents who participated in the follow-up examination of the population-based Penn State Child Cohort (PSCC) study. To estimate individual-level short-term PM 2.5 exposure, a personal nephelometer (Thermo pDR-1200) was used to measure real-time PM 2.5 concentration for 24 hours from the study participants. The 24-hour mean PM 2.5 concentration was used to quantify the short-term PM 2.5 exposure. To obtain objectively-measured habitual sleep duration (HSD) and habitual sleep variability (HSV), an actigraphy (GT3X+) was used to collect sleep data for 7 consecutive nights, including 1 night in parallel with the PM 2.5 monitoring and 6 nights thereafter. HSD and HSV were calculated as the intra-individual mean and standard deviation (SD) of the 7-night sleep duration, respectively. Participants with < 5 nights (70% of 7 nights) of data were excluded from the analyses. The associations between the individual-level PM 2.5 exposure and HSD/HSV were evaluated by using multi-variable adjusted linear regression models, controlling for age, race, sex, BMI percentile, environmental temperature, and relative humidity. Results: The mean (SD) age of the study population was 16.9 (2.2) years. The study sample consisted of 54% males and 78% whites. The 24-hour mean (SD) of PM 2.5 concentration was 16.9 (26.8) μg/m 3 , while the average HSD and HSV were 7.0 (0.9) hours and 1.2 (0.6) hours, respectively. We observed that a 10 μg/m 3 increase in the 24-hour mean PM 2.5 was associated with significantly lower HSD [β (SE): -0.06 (0.03) hours, p=0.02] and larger HSV [β (SE): 0.04 (0.02) hours, p=0.04]. The effect sizes were approximately 7% of their respective SDs. Conclusion: Individual-level short-term PM 2.5 exposure is associated with objective-measured shorter sleep duration and higher night-to-night sleep variability among U.S. adolescents. These observed associations suggest that particulate air pollution exposure in early life may impact habitual sleep pattern, which may in turn be associated with the risks of obesity and cardiovascular diseases in later life.


Epidemiology ◽  
2005 ◽  
Vol 16 (5) ◽  
pp. 681-687 ◽  
Author(s):  
Therese F. Mar ◽  
Jane Q. Koenig ◽  
Karen Jansen ◽  
Jeffrey Sullivan ◽  
Joel Kaufman ◽  
...  

BMJ ◽  
2002 ◽  
Vol 324 (7339) ◽  
pp. 691-692 ◽  
Author(s):  
E. Hennessy

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