Association of Wind Speed and the Occurrence of Sickle Cell Acute Painful Episodes: Results of a Case-Crossover Study.

Blood ◽  
2007 ◽  
Vol 110 (11) ◽  
pp. 3402-3402
Author(s):  
Vikki G. Nolan ◽  
Yuqing Zhang ◽  
Timothy Lash ◽  
Paola Sebastiani ◽  
Martin H. Steinberg

Abstract The role of weather as a possible trigger of sickle cell acute painful episodes has been debated for over 30 years. Early studies based on anecdotal evidence, such as patients reporting pain during the colder parts of the day or when swimming in the cold ocean on a particularly hot day, argued for an association between weather and the occurrence of pain. Recently published studies have shown an association with cold and rainy seasons and with windy weather and low humidity. Other studies however, have found no associations. A limitation of these studies is that they are based on seasonal trend data, mean monthly temperatures, hospital-wide visit rates, but not data at the individual level. To more accurately describe the role of weather as a trigger of painful events, we conducted a case-crossover study of the association of local weather conditions with the occurrence of individual pain crises. From the Cooperative Study of Sickle Cell Disease, 813 patients with 3,580 acute painful episodes were identified. For each pain episode, the hazard period was defined as the 48 hours preceding the onset of pain, and control periods were two periods of 48 hours, two weeks before, and two weeks after the pain crisis. Local weather data including temperature, wind speed and relative humidity, were downloaded from weather-source.com for each of the 23 participating centers for the years 1979 through 1982. Weather data were merged with clinical data and the association between the occurrence of pain crises and local weather conditions were studied using conditional logistic regression. We found an association between wind speed and the onset of pain, specifically wind speed during the 24 hour period preceding the onset of pain. Continuous measures of wind speed, mean and median wind speed during the 24 first hours of the hazard/control windows, showed significant associations with the occurrence of pain (p = 0.03 and p = 0.009, respectively). Analyzing wind speed as a categorical trait, dichotomized at the median (10 mph) for the same 24 hour period, showed a 14% increase (95% CI: 4% – 12%) in odds of pain, when comparing the high wind speed to lower wind speed (p = 0.005). To determine the most likely induction time, average wind speeds were determined for 4 hour intervals and their association with the onset of pain analyzed. Assuming a non-specific induction time will bias the measure of association toward the null, the interval with the highest OR should contain the most relevant induction time. We found that the interval from 13 hours to 16 hours prior to onset of pain has the largest measure of association [OR =1.01 (1.00 – 1.02), p = 0.026]. These results are in agreement with another study that found an association between wind speed and hospital visits for pain in the United Kingdom (Jones et. al, BJH 2005). These findings lend support to recent physiological and clinical studies that have suggested that skin cooling is associated with sickle vasoocclusion (Mohan et al. Clin Sci, 1998), and perhaps pain (Resar et al., J Pediatr 1991). Though pain is a common complication, and likely to have many potential triggers, physicians may wish to advise patients to take precautions on windy days by limiting skin exposure.

2008 ◽  
Vol 143 (3) ◽  
pp. 433-438 ◽  
Author(s):  
Vikki G. Nolan ◽  
Yuqing Zhang ◽  
Timothy Lash ◽  
Paola Sebastiani ◽  
Martin H. Steinberg

2021 ◽  
Vol 167 (3-4) ◽  
Author(s):  
Lea Gärtner ◽  
Harald Schoen

AbstractOver the last few years, climate change has risen to the top of the agenda in many Western democracies, backed by a growing share of voters supporting climate protection policies. To understand how and why these changes came about, we revisit the question whether personal experiences with increasingly unusual local weather conditions affect people’s beliefs about climate change and their related attitudes. We first take a closer look at the theoretical underpinnings and extend the theoretical argument to account for the differential impact of different weather phenomena, as well as the role of prior beliefs and individual reference frames. Applying mixed-effects regressions to a novel dataset combining individual-level multi-wave panel survey data from up to 18,010 German voters collected from 2016 to 2019 with weather data from 514 weather stations, we show that personally experiencing unusual or extreme local weather did not shape people’s awareness of climate change as a political problem or their climate policy preferences in a sustained manner. Even among people who may be considered most likely to exhibit such effects, we did not detect them. Moreover, we demonstrate that the common modeling strategy of combining fixed-effects regression with clustered standard errors leads to severely reduced standard errors and substantively different results. We conclude that it cannot be taken for granted that personally experiencing extreme weather phenomena makes a difference in perceptions of climate change and related policy preferences.


Author(s):  
Apolline Saucy ◽  
Martina S. Ragettli ◽  
Danielle Vienneau ◽  
Kees de Hoogh ◽  
Louise Tangermann ◽  
...  

TH Open ◽  
2019 ◽  
Vol 03 (01) ◽  
pp. e50-e57
Author(s):  
Vânia Morelli ◽  
Joakim Sejrup ◽  
Birgit Småbrekke ◽  
Ludvig Rinde ◽  
Gro Grimnes ◽  
...  

AbstractStroke is associated with a short-term increased risk of subsequent venous thromboembolism (VTE). It is unclear to what extent this association is mediated by stroke-related complications that are potential triggers for VTE, such as immobilization and infection. We aimed to investigate the role of acute stroke as a trigger for incident VTE while taking other concomitant VTE triggers into account. We conducted a population-based case-crossover study with 707 VTE patients. Triggers were registered during the 90 days before a VTE event (hazard period) and in four preceding 90-day control periods. Conditional logistic regression was used to estimate odds ratios with 95% confidence intervals (CIs) for VTE according to triggers. Stroke was registered in 30 of the 707 (4.2%) hazard periods and in 6 of the 2,828 (0.2%) control periods, resulting in a high risk of VTE, with odds ratios of 20.0 (95% CI: 8.3–48.1). After adjustments for immobilization and infection, odds ratios for VTE conferred by stroke were attenuated to 6.0 (95% CI: 1.6–22.1), and further to 4.0 (95% CI: 1.1–14.2) when other triggers (major surgery, red blood cell transfusion, trauma, and central venous catheter) were added to the regression model. A mediation analysis revealed that 67.8% of the total effect of stroke on VTE risk could be mediated through immobilization and infection. Analyses restricted to ischemic stroke yielded similar results. In conclusion, acute stroke was a trigger for VTE, and the association between stroke and VTE risk appeared to be largely mediated by immobilization and infection.


BMJ ◽  
2005 ◽  
Vol 331 (7514) ◽  
pp. 428 ◽  
Author(s):  
Suzanne P McEvoy ◽  
Mark R Stevenson ◽  
Anne T McCartt ◽  
Mark Woodward ◽  
Claire Haworth ◽  
...  

2021 ◽  
Vol 13 (1) ◽  
pp. 45-60
Author(s):  
Tri Baskoro Tunggul Satoto ◽  
Nur Alvira Pascawati ◽  
Ajib Diptyanusa ◽  
Luthfan Lazuardi ◽  
Alvin Harjono Dwiputro ◽  
...  

Klaten Regency is one of the Dengue Hemorrhagic Fever (DHF) endemic areas in Central Java. Weather conditions can have an impact on vector dynamics, dengue virus development, and interactions between mosquitoes and humans. The purpose of this study was to determine the pattern of dengue transmission in twenty-six sub-districts in Klaten Regency based on wind speed, specific humidity, rainfall, and temperature. This study was conducted using a retrospective cohort design based on Giovanni-National Aeronautics and Space Administration (NASA) data during the last three years (2016-2018). The independent variables in this study were: wind speed (m/s), specific humidity (g/kg), rainfall (mm/month), and temperature (oC), while the dependent variable was the number of dengue cases in 26 sub-districts in 2014-2014. 2016. Data were analyzed based on monthly patterns and regional patterns using correlation and regression tests with =0.05. The results showed that a total of 1,434 dengue cases were reported during this time period. Weather data analysis revealed that DHF fluctuations were correlated with wind speed in four sub-districts, specific humidity in seven sub-districts, rainfall in three sub-districts, and temperature in three sub-districts. Specific humidity variation plays a role of 21.8% as the dominant factor that can explain the case of DHF in the Klaten Regency. The results of this study can be applied to mitigate the transmission of DHF by determining preventive actions according to place and time and increasing the early warning system to deal with the threat of DHF outbreaks. Abstrak  Kabupaten Klaten adalah salah satu daerah endemis Demam Berdarah Dengue (DBD) di Jawa Tengah. Kondisi cuaca dapat berdampak pada dinamika vektor, perkembangan virus dengue, dan interaksi antara nyamuk dengan manusia. Tujuan dari penelitian ini adalah untuk mengetahui pola penularan DBD di dua puluh enam kecamatan yang berada di Kabupaten Klaten berdasarkan kecepatan angin, kelembaban spesifik, curah hujan dan suhu. Penelitian ini dilakukan menggunakan desain kohort retrospektif berdasarkan pada data Giovanni-National Aeronautics and Space Administration (NASA) selama 3 tahun terakhir (2016-2018). Variabel bebas dalam penelitian ini adalah: kecepatan angin (m/s), kelembaban spesifik (g/kg), curah hujan (mm/bulan) dan suhu (oC), sedangkan variabel terikat adalah jumlah kasus DBD di 26 kecamatan pada tahun 2014-2016. Data dianalisis berdasarkan pola bulanan dan pola wilayah dengan menggunakan uji korelasi dan regresi dengan α=0,05. Hasil penelitian menunjukkan bahwa  total sebanyak 1.434 kasus dengue dilaporkan selama periode waktu tersebut. Analisis data cuaca mengungkapkan bahwa fluktuasi DBD berkorelasi dengan kecepatan angin di empat kecamatan, kelembaban spesifik di tujuh kecamatan, curah hujan di tiga kecamatan dan suhu di tiga kecamatan. Variasi kelembaban spesifik berperan sebesar 21,8% sebagai faktor dominan yang dapat menjelaskan kasus DBD di Kabupaten Klaten.  Hasil studi ini dapat diaplikasikan untuk mitigasi penularan DBD dengan menentukan tidakan pencegahan menurut tempat dan waktu serta meningkatkan sistem kewaspadaan dini untuk menghadapi ancaman KLB DBD.


2020 ◽  
Author(s):  
John Reid

Abstract Two unintended experiments provide insight into the role of anthropogenic emissions in the global carbon cycle. One was the temporary reduction in emissions during the COVID-19 lock-down. The other was the emission of a radioactive isotope of carbon during the testing of nuclear weapons in the 1950s and the abrupt cessation of these tests in 1963. Together they imply the existence of two distinct reservoirs which exchange carbon with the atmosphere, viz.: the mixed layer and the deep ocean. Exchanges with the former are noisy because they are influenced by sea surface temperature which, in turn, depends on local weather conditions. They completely mask any variations caused by the COVID-19 lock-down. Exchanges with the latter are steady, long-term and uninfluenced by the weather. They result in half the carbon content of the atmosphere and mixed layer being replaced every eleven years.


2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Julie M. Mallon ◽  
Keith L. Bildstein ◽  
William F. Fagan

Abstract Background Migrating birds experience weather conditions that change with time, which affect their decision to stop or resume migration. Soaring migrants are especially sensitive to changing weather conditions because they rely on the availability of environmental updrafts to subsidize flight. The timescale that local weather conditions change over is on the order of hours, while stopovers are studied at the daily scale, creating a temporal mismatch. Methods We used GPS satellite tracking data from four migratory Turkey Vulture (Cathartes aura) populations, paired with local weather data, to determine if the decision to stopover by migrating Turkey Vultures was in response to changing local weather conditions. We analyzed 174 migrations of 34 individuals from 2006 to 2019 and identified 589 stopovers based on variance of first passage times. We also investigated if the extent of movement activity correlated with average weather conditions experienced during a stopover, and report general patterns of stopover use by Turkey Vultures between seasons and across populations. Results Stopover duration ranged from 2 h to more than 11 days, with 51 % of stopovers lasting < 24 h. Turkey Vultures began stopovers immediately in response to changes in weather variables that did not favor thermal soaring (e.g., increasing precipitation fraction and decreasing thermal updraft velocity) and their departure from stopovers was associated with improvements in weather that favored thermal development. During stopovers, proportion of activity was negatively associated with precipitation but was positively associated with temperature and thermal updraft velocity. Conclusions The rapid response of migrating Turkey Vultures to changing weather conditions indicates weather-avoidance is one of the major functions of their stopover use. During stopovers, however, the positive relationship between proportion of movement activity and conditions that promote thermal development suggests not all stopovers are used for weather-avoidance. Our results show that birds are capable of responding rapidly to their environment; therefore, for studies interested in external drivers of weather-related stopovers, it is essential that stopovers be identified at fine temporal scales.


2014 ◽  
Vol 66 ◽  
pp. 80-86 ◽  
Author(s):  
Mark Asbridge ◽  
Robert Mann ◽  
Michael D. Cusimano ◽  
John M. Tallon ◽  
Chris Pauley ◽  
...  

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