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At least 217 records · Page 12Linked to original sources
PubMed2006

Seasonal associations between weather conditions and suicide--evidence against a classic hypothesis.

Psychiatrists, epidemiologists, and sociologists have debated the existence of an association between weather conditions and suicide seasonality since the preliminary statistical investigations in the 19th century. Provided that the effect of weather conditions on suicide operates via a dose-response-like mechanism, time-series (Box-Jenkins) analysis permits an indirect test of the hypothesis that temperature or other weather variables promote higher suicide frequencies in late spring and early summer months. The authors modeled monthly data on suicide and climatic conditions (i.e., temperature, sunshine, and precipitation data) in Switzerland. Cross-correlations between the filtered (prewhitened) residual series were calculated for the period 1881-2000, for consecutive 30-year periods, for different suicide methods, and--with regard to the seasonality hypothesis--for series relying on moving 1- and 3-month frames. Positive cross-correlations emerged between suicide and temperature data for the whole time series, as well as in all consecutive 30-year periods. However, cross-correlations of data series based on moving frames showed a minor peak in associations for summer frames and a major peak in associations for winter frames, the latter reflecting suicides performed mainly outdoors (being run over by a train and jumping from high places). The results represent a novel minor effect in seasonality of suicide, which is hardly compatible with the hypothesized role of temperature in suicide seasonality.

Cause of Death↗
PubMed2004

Fine forecasts: encouraging the media to include ultraviolet radiation information in summertime weather forecasts.

Melanoma and skin cancer are largely attributable to over-exposure to solar ultraviolet radiation (UVR). Reports of UVR levels within media weather forecasts appear to be well received by the public and have good potential to communicate the need for appropriate sun protection to a broad audience. This study describes provision of UVR messages by New Zealand newspapers, radio and TV stations over a 4-year period, and examines the impact of an intervention which aimed to address media concerns about the financial costs of accessing UVR information for broadcast. Newspaper and radio presentation of UVR information increased immediately after these costs were removed; however, among radio stations it dropped in subsequent years. Among those media that were presenting UVR, this information was broadcast throughout the summer period and repeated throughout the day. Furthermore, most reports included concomitant, behavioral sun protection messages. At the final assessment (summer 2001/02), 66% of radio stations, both TV channels and 48% of newspapers reported UVR information in summertime weather reports. Efforts to further increase UVR presentation will need to address media concerns about time constraints on weather forecasts and media perceptions of poor audience demand or understanding of some UVR messages.

Female↗
PubMed1988

Weather and occurrence of eclampsia.

The authors performed a population-based case-control study of the association between weather and occurrence of eclampsia in Washington State. Women who were recorded as having eclampsia on Washington birth certificates from 1980 to 1983 were compared to a random sample of all women who gave birth during those years. For each woman studied, National Oceanic and Atmospheric Administration weather data were used to determine the temperature, relative humidity, precipitation, and wind speed on the date of birth at the station nearest the hospital of birth. Categorical analysis revealed that eclampsia was not associated with low temperature, high relative humidity, precipitation, or high wind speed. These results were unchanged after adjustment for race, parity, maternal age, and late initiation of prenatal care. These results do not support an association between eclampsia and weather on the date of delivery in this population.

Birth Certificates↗
PubMed2005

Extreme weather events and environmental contamination are associated with case-clusters of melioidosis in the Northern Territory of Australia.

BACKGROUND: Melioidosis, the infection due to the environmental organism Burkholderia pseudomallei, is endemic to northern Australia and South East Asia. It is associated with exposure to mud and pooled surface water, but environmental determinants of this disease are poorly understood. We defined case-clusters in northern Australia, determined their contribution to the observed rate of melioidosis, and explored clinical features and associated environmental factors. METHODS: Using geographical information systems data, we examined clustering of melioidosis cases in time and geographical space in the Top End of the Northern Territory of Australia between 1990 and 2002 using a scan statistic. DNA macrorestriction analysis, resolved by pulsed field gel electrophoresis, was performed on isolates from patients. RESULTS: We defined five case-clusters involving 27 patients that occurred within 7-28 days and/or a radius of 100-300 km. Clustered cases were associated with extreme weather events or environmental contamination; no difference in the clinical pattern of disease was noted from other patients not involved in clusters. Isolates from patients linked to environmental contamination were caused by isolates with similar DNA macrorestriction patterns, but isolates from patients linked to severe weather events had more diverse DNA macrorestriction patterns. CONCLUSION: Case-clusters of melioidosis where isolates exhibit diverse DNA macrorestriction patterns in our region are linked to extreme weather events and outbreaks where isolates are predominantly of the same DNA macrorestriction pattern are linked with contamination of an environmental source.

Burkholderia pseudomallei↗
PubMed1990

Resistance of permethrin to weathering in fabrics treated for protection against mosquitoes (Diptera: Culicidae).

Two different methods of treating cotton and nylon-cotton fabrics with permethrin were evaluated for protection from mosquito bites after laboratory weathering. Cotton fabric treated by the individual dynamic absorption method provided consistently better protection than cotton fabric treated by the aerosol method. The nylon-cotton fabric provided similar protection regardless of the treatment method. After weathering, the toxic effects of both types of permethrin-treated fabrics treated by both methods diminished much more rapidly than did the repellent effect. Low residual amounts of permethrin in the fabrics provided 85% protection from bites against Aedes aegypti (L.) and 93% protection against Anopheles stephensi Liston. Permethrin-treated fabrics were effective in providing protection from mosquito bites for long periods, even after exposure to weathering, and appear to be an effective means of reducing nuisance effects and disease transmission by mosquitoes.

Analysis of Variance↗
PubMed1996

Did the sterile insect technique or weather eradicate screwworms (Diptera:Calliphoridae) from Libya?

The American screwworm, Cochliomyia hominivorax Coquerel, was detected in northwestern Libya in 1988. By August 1990, a screwworm epizootic extended over 26,000 km2 but collapsed in December and disappeared in April 1991. The relative contributions of winter weather and sterile insect releases on screwworm eradication in Libya were assessed by using temperature data and population demography. A screwworm overwintering threshold mean temperature of approximately 9.7 degrees C for 3 mo is supported strongly by published experimental and epizootiological data. In Libya, temperatures were above this overwintering threshold at Zawia, Sorman, and Tripoli weather stations. At Gharyan, in the interior highlands, mean winter temperatures from 1 December 1990 to 28 February 1991 were less than the putative overwintering threshold. No kill of screwworm pupae or adults was likely as a result of low temperatures near any weather station in the winter of 1990-1991. Evidence of screwworm overwintering in 1990-1991 was provided by the detection of a natural infestation in April and trap captures of numerous wild adult females in February, March, and April. Successful screwworm overwintering was highly probable in the coastal plain of Libya but unlikely in much of the interior highlands. The high rate of animal inspections by eradication personnel achieved as much as a 30% chance of detecting a screwworm case in domestic animals. Generation times and expectation of life among feral adult flies were estimated. Case reports for January to June 1991 were consistently less than estimates based on historical experience in Libya 1989-1990 and in Texas 1962-1983. Phenological simulations of sterile mating rates in feral screwworm flies supports the contention that sterile fly releases led to a greatly reduced case incidence from January to the time that eradication was declared in October 1991.

Animals↗
PubMed2003

Osteoarthritis pain and weather.

OBJECTIVE: To evaluate the association between weather (barometric pressure, precipitation and temperature) and pain among individuals with osteoarthritis (OA) (n=154) at the following sites: neck, hand, shoulder, knee and foot. METHODS: This prospective study evaluated men and women, aged 49-90 yr, participating in a community-based, osteoarthritis exercise study (June 1998-January 2002). Weekly self-reported pain scores were collected using a visual analogue scale. Statistical tests, including regression and correlation analyses, were conducted. P values < 0.001 were considered significant. RESULTS: The total number of pain recordings varied by site, ranging from 2269 (feet) to 6061 (hands). The mean temperature was 23 degrees C with a low of 0 degrees C and a high of 36 degrees C. Precipitation levels ranged from 0.00-21.08 cm, with a mean of 0.36 cm. Most associations explored produced non-significant findings. However, among women with hand OA, higher pain was significantly associated with days of rising barometric pressure (P < 0.001). CONCLUSION: Among a population of exercisers aged 49 yr and older, overall these findings did not support the hypothesis that weather is associated with pain. While some associations were suggestive of a relationship, largely these findings indicate that weather is quite modestly, if at all, associated with pain from OA.

Aged↗
PubMed2002

Predicting Ross River virus epidemics from regional weather data.

BACKGROUND: Diseases caused by arboviruses cause extensive mortality and morbidity throughout the world. Weather directly affects the breeding, abundance, and survival of mosquitoes, the principal vector of many arboviruses. The goal of this study was to test whether climate variables could predict with high levels of accuracy (more than 70%) epidemics of one arbovirus, Ross River virus disease. METHODS: Weather data from two regions in southeastern Australia were matched with Ross River virus disease data for the period 1991 to 1999. Our aim was to develop simple models for the probability of the occurrence of an epidemic in an area in a given year. RESULTS: Two predictable epidemic patterns emerged, after either high summer rainfalls or high winter rainfalls. A prerequisite relating to host-virus dynamics was lower than average spring rainfall in the preepidemic year. The sensitivity of the model was 96% for Region 1 and 73% for Region 2. CONCLUSIONS: Early warning of weather conditions conducive to outbreaks of Ross River virus disease is possible at the regional level with a high degree of accuracy. Our models may have application as a decision tool for health authorities to use in risk-management planning.

Alphavirus Infections↗
PubMed2006

Local weather effects on emergency department visits: a time series and regression analysis.

OBJECTIVE: The ability to forecast atypical emergency department (ED) volumes may aid staff/resource allocation. We determine whether deviations from short-term predictions of weather can be used to forecast deviations from short-term predictions of ED volumes. METHODS: In this retrospective study, we attempted to predict the volume of patient visits to an academic pediatric ED based on short-interval local weather patterns (2000). Local temperature and precipitation data in 1- and 3-hour increments were obtained. Precipitation was coded to be present if it exceeded 0.04 in and subclassified as cold rain/snow if the ambient temperature was lower than 40 degrees F. ED visits were categorized as injuries, emergent, or nonemergent visits. For each category of visit, Box-Jenkins Auto-Regressive Integrated Moving Average time-series models were created of natural trends and cycles in temperature and patient volumes. From these models, differences (residuals) between predicted and observed values of these variables were estimated. The correlation between residuals for temperature and ED volumes was derived for various kinds of ED visit, after controlling for type/volume of precipitation. RESULTS: Residuals for ambient temperature controlled for precipitation correlated poorly with residuals for patient volumes, accounting for 1% to 6% of the variability in the volume of injuries, emergent, and nonemergent visits (R2 = 1%, 1%, and 6%, respectively). CONCLUSIONS: Deviations from short-term predictions of temperature correlate poorly with deviations from predictions of patient volume after adjusting for natural trends and cycles in these variables and controlling for precipitation. These weather variables are of little practical benefit for predicting fluctuations in the rates of ED utilization.

Child↗
PubMed2006

Correlating weather and trauma admissions at a level I trauma center.

BACKGROUND: Popular emergency room wisdom touts higher temperatures, snowfall, weekends, and evenings as variables that increase trauma admissions. This study analyzed the possible correlation between trauma admissions and specific weather variables, and between trauma admissions and time of day or season. METHODS: Trauma admission data from a Level I trauma center database from July 1, 1996 to January 31, 2002 was downloaded and linked with local weather data from the Archives of the National Oceanic and Atmospheric Administration website, and then analyzed. RESULTS: There were 8,269 trauma admissions over a total of 48,984 hours for an average of one admission every 6 hours. Daily high temperature and precipitation were valid predictors of trauma admission volume, with a 5.25% increase in hourly incidents for each 10-degree difference in temperature, and a 60% to 78% increase in the incident rate for each inch of precipitation in the previous 3 hours. CONCLUSIONS: Weather and seasonal variations affect admissions at a Level I trauma center. Data from this study could be useful for determining staffing requirements and resource allocation.

Humans↗
PubMed1995

The seasonality of hip fracture and its relationship with weather conditions in New South Wales.

The seasonal pattern in hip fracture rates and its relationship to weather variables was studied using hospital admission data for New South Wales. There was a consistent seasonal pattern for hip fracture, with a trough in the summer and a peak in the winter, for the six years for which data were available: 1981, 1983, 1986, 1988, 1989 and 1990. The seasonal trends for all years were statistically significant (P < 0.01) in men and in women, and in people who were 75 years and over. The relationship between the monthly admission rates for hip fracture in Sydney and such weather variables as mean daily minimum temperature, mean cloud cover, number of days with strong wind, number of days of fog, number of days of mist and number of days with 0.1 mm or more rainfall in a month were studied by Poisson regression. The mean daily minimum temperature for each month was the single weather variable independently and consistently associated with the monthly rates of hip fracture in both younger and older people. For the first time, a seasonal pattern for hip fracture and its close association with monthly temperature in Australia has been demonstrated.

Aged↗
PubMed1984

A multidimensional approach to the relationship between mood and weather.

Ten mood variables were related to eight weather variables in a multidimensional study. Data were collected from 24 male subjects over 11 consecutive days. The mood variables were as follows: concentration, cooperation, anxiety, potency, aggression, depression, sleepiness, scepticism, control, and optimism. The weather variables included: hours of sunshine, precipitation, temperature, wind direction, wind velocity, humidity, change in barometric pressure and absolute barometric pressure. Humidity, temperature and hours of sunshine had the greatest effect on mood. High levels of humidity lowered scores on concentration while increasing reports of sleepiness. Rising temperatures lowered anxiety and scepticism mood scores. Humidity was the most significant predictor in regression and canonical correlation analysis. Implications for school and office performance are discussed which highlight the importance of humidity as a weather variable.

Adolescent↗
PubMed2001

Age, sex, density, winter weather, and population crashes in Soay sheep.

Quantifying the impact of density, extrinsic climatic fluctuations, and demography on population fluctuations is a persistent challenge in ecology. We analyzed the effect of these processes on the irregular pattern of population crashes of Soay sheep on the St. Kilda archipelago, United Kingdom. Because the age and sex structure of the population fluctuates independently of population size, and because animals of different age and sex respond in different ways to density and weather, identical weather conditions can result in different dynamics in populations of equal size. In addition, the strength of density-dependent processes is a function of the distribution of weather events. Incorporating demographic heterogeneities into population models can influence dynamics and their response to climate change.

Aging↗
PubMed1997

Early increases in ischaemic heart disease mortality dissociated from and later changes associated with respiratory mortality after cold weather in south east England.

STUDY OBJECTIVE: To identify the time courses and magnitude of ischaemic heart (IHD), respiratory (RES), and all cause mortality associated with common 20-30 day patterns of cold weather in order to assess links between cold exposure and mortality. DESIGN: Daily temperatures and daily mortality on successive days before and after a reference day were regressed on the temperature of the reference day using high pass filtered data in which changes with a cycle length < 80 days were unaffected (< 2%), but slower cyclical changes and trends were partly or completely suppressed. This provided the short term patterns of both temperature and mortality associated with a one day displacement of temperature. The results were compared with simple regressions of unfiltered mortality on temperature at successive delays. STUDY POPULATION AND SETTING: Population of south east England, including London, over 50 years of age from 1976-92. MAIN RESULTS: Colder than average days in the linear range 15 to 0 degrees C were associated with a "run up" of cold weather for 10-15 days beforehand and a "run down" for 10-15 days afterwards. The increases in deaths were maximal at 3 days after the peak in cold for IHD, at 12 days for RES, and at 3 days for all cause mortality. The increase lasted approximately 40 days after the peak in cold. RES deaths were significantly delayed compared with IHD deaths. Excess deaths per million associated with these short term temperature displacements were 7.3 for IHD, 5.8 for RES, and 24.7 for all cause, per one day fall of 1 degree C. These were greater by 52% for IHD, 17% for RES, and 37% for all cause mortality than the overall increases in daily mortality per degree C fall, at optimal delays, indicated by regressions using unfiltered data. Similar analyses of data at 0 to -6.7 degrees C showed an immediate rise in IHD mortality after cold, followed by a fall in both IHD and RES mortality rates which peaked 17 and 20 days respectively after a peak in cold. CONCLUSION: Twenty to 30 day patterns of cold weather below 15 degrees C were followed:(1) rapidly by IHD deaths, consistent with known thrombogenic and reflex consequences of personal cold exposure; and (2) by delayed increases in RES and associated IHD deaths in the range 0 to 15 degrees C, which were reversed for a few degrees below 0 degree C, and were probably multifactorial in cause. These patterns provide evidence that personal exposure to cold has a large role in the excess mortality of winter.

Aged↗
PubMed1981

Weather and infectious disease in cattle.

The incidence and severity of many diseases of cattle, particularly the endemic enteric and respiratory diseases, appear from clinical impression or epidemiological survey to be associated with particular types of weather. Infectious diseases of cattle (excluding parasitic ones) for which there appears to be a real association between climate, weather and disease are reviewed. Effects of weather on survival and spread of microorganisms, local resistance to infection and systemic resistance to disease are discussed. Factors such as cold, heat, relative humidity and air pollution are considered with particular reference to the aetiology of respiratory diseases.

Air Pollution↗
PubMed1999

Effects of air pollution and weather conditions on asthma exacerbation.

BACKGROUND: Meteorological conditions and a high concentration of air pollutants have been associated with increased respiratory morbidity. However, few studies have examined the association between asthma exacerbation and air pollution. OBJECTIVES: In the present study, the possible relationship of the concentration of black smoke and SO2 in the air, the local weather conditions and emergency room visits for asthma is investigated. METHODS: The weekly total of emergency room admissions for asthmatic adults during a 1-year period was recorded together with daily metereological conditions (average temperature, humidity, rainfall, wind speed and barometric pressure) and average weekly levels of daily pollutant concentrations (black smoke and SO2). The relationship was assessed by stepwise regression linear models and analysis of variance. The analysis took into account season and metereological variables. RESULTS: Both air pollutants correlated significantly with emergency room admissions for asthma (SO2 [r = 0. 32], black smoke [r = 0.35]); however, multiple regression analysis showed that black smoke was the only significant predictor of weekly visits. There were approximately 3.5 admissions a week per SD of change (34.6 microg.m-3). There were no significant correlations between weekly emergency room visits and the weather variables. Analysis of the data stratified by season and weather conditions demonstrated that the association of black smoke with asthma exacerbation was more pronounced in autumn (r = 0.67) or when temperatures were higher than average. CONCLUSION: In our city, a high concentration of certain air pollutants is indeed associated with an increase in the number of hospital emergency room admissions for asthma.

Adolescent↗
PubMed2006

The effects of weather on the incidence of sudden sensorineural hearing loss: a 5-year population-based study.

OBJECTIVE: This study utilizes 5-year population data to examine the association between weather conditions and the incidence of sudden sensorineural hearing loss (SSNHL) in Taiwan with a specific focus on ambient temperature, relative humidity, atmospheric pressure, rainfall and total hours of sunshine. METHOD: The data, covering the period from 1998 to 2002, is sourced from the Taiwan National Health Insurance Research Database (NHIRD), with a total of 8712 first-time admissions being identified from the database by a principal diagnosis of unspecified sudden hearing loss (ICD-9-CM code 3882). After controlling for time trend effects, this study adopted the autoregressive integrated moving average regression method as a means of evaluating the effects of climatic and monthly factors on SSNHL incidence rates. RESULTS: Although significant associations were found between ambient temperature, relative humidity and the SSNHL incidence rates for the total population, after adjusting for seasonality, months and trends, the significant relationship between SSNHL incidence rates and the climatic parameters disappeared. CONCLUSIONS: This study has demonstrated that after adjusting for seasonality, months and trends, there is no significant relationship between monthly SSNHL incidence rates and weather conditions. Therefore, the theory that weather is a triggering factor in SSNHL pathogenesis is not supported by this study.

Adult↗
PubMed2006

The relation of stroke admissions to recent weather, airborne allergens, air pollution, seasons, upper respiratory infections, and asthma incidence, September 11, 2001, and day of the week.

BACKGROUND AND PURPOSE: Some previous research links stroke incidence to weather, some links strokes to air pollution, and some report seasonal effects. Alveolar inflammation was proposed as the mechanistic link. We present a unified model of time, weather, pollution, and upper respiratory infection (URI) incidence. METHODS: We combined existing databases: US Environmental Protection Agency pollution levels, National Weather Service data, counts of airborne allergens, and New York City Health and Hospitals Corporation counts of stroke, asthma, and URI patients. We used autoregressive integrated moving average modeling (a statistical time series modeling technique) with stroke admissions as the response variable and day of week, holidays, September 11th, and other counts and levels as explanatory variables. RESULTS: Using a broad definition of stroke, there were 5.1+/-2.3 stroke admissions per day: narrowly defined, 4.2+/-2.1 strokes per day. There are relatively fewer strokes on Sundays (0.50 strokes; P=0.0011), Saturdays (0.62; P<0.0001), Fridays (0.38; P=0.0009) and holidays (0.875; P=0.0016). We found relatively small, independent exacerbating effects of higher air temperature (P=0.0211), dry air (P=0.0187), URIs, (P<0.0001), grass pollen (P=0.0341), sulfur dioxide (SO2; P=0.0471), and suspended particles <10 microm in size (P=0.0404). These effects are modest: < or =0.6, 0.6, 2.4, 1, 0.9, and 0.7 strokes per day, respectively. We did not find statistically significant exacerbating effects of other variables. CONCLUSIONS: We found statistically significant, independent exacerbating effects of warmer, drier air, URIs, grass pollen, SO2, and particulate air pollution. The model supports the theory that links pulmonary inflammation to stroke.

Air Pollution↗