Impact of diurnal temperature range on human health: a systematic review

Cheng, Jian; Xu, Zhiwei; Zhu, Rui; Wang, Xu; Jin, Liu; Song, Jian; Su, Hong

doi:10.1007/s00484-014-0797-5

Cited by 204 publications

(126 citation statements)

References 49 publications

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“…Short-term associations between DTR and health effects have been indicated by numerous studies conducted in Asia using various health outcomes and statistical models (Cheng et al 2014). In the current study, we examined the DTR-mortality relationship in 95 large US communities and observed similar health effects of DTR as those found in Asia.…”

Section: Discussionmentioning

confidence: 99%

“…A literature review of the DTR-health relationship indicated that few studies have been conducted in other regions such as North America (Cheng et al 2014). A study examined DTR effects on elderly mortality in Canada and observed a cumulative 5 and 11 % increase in mortality due to increases in DTR from the 25th to the 75th and the 75th to the 99th percentile, respectively (Vutcovici et al 2013).…”

Section: Introductionmentioning

confidence: 98%

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Diurnal temperature range and short-term mortality in large US communities

et al. 2014

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Research has shown that diurnal temperature range (DTR) is significantly associated with mortality and morbidity in regions of Asia; however, few studies have been conducted in other regions such as North America. Thus, we examined DTR effects on mortality in the USA. We used mortality and environmental data from the National Morbidity Mortality Air Pollution Study (NMMAPS). The data are daily mortality, air pollution, and temperature statistics from 95 large US communities collected between 1987 and 2000. To assess community-specific DTR effects on mortality, we used Poisson generalized linear models allowing for over-dispersion. After assessing community-specific DTR effects on mortality, we estimated region- and age-specific effects of DTR using two-level normal independent sampling estimation. We found a significant increase of 0.27 % [95 % confidence intervals (CI), 0.24-0.30 %] in nonaccidental mortality across 95 communities in the USA associated with a 1 °C increase in DTR, controlling for apparent temperature, day of the week, and time trend. This overall effect was driven mainly by effects of DTR on cardiovascular and respiratory mortality in the elderly: Mortality in the above 65 age group increased by 0.39 % (95 % CI, 0.33-0.44 %) and 0.33 % (95 % CI, 0.22-0.44 %), respectively. We found some evidence of regional differences in the effects of DTR on nonaccidental mortality with the highest effects in Southern California [0.31 % (95 % CI, 0.21-0.42 %)] and smallest effects in the Northwest and Upper Midwest regions [0.22 % (95 % CI, 0.11-0.33 %) and 0.22 % (95 % CI, 0.07-0.37 %), respectively]. These results indicate a statistically significant association between DTR and mortality on average for 95 large US communities. The findings indicate that DTR impacts on nonaccidental and cardiovascular-related mortality in most US regions and the elderly population was most vulnerable to the effects of DTR.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

Diurnal temperature range and short-term mortality in large US communities

et al. 2014

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“…These variations in the annual temperature trends of TMIN and TMAX in the different stations were also observed for the daily and monthly datasets. This implies that, daily mean temperature is increasing and the DTR which is the difference between the daily TMIN and TMAX, is increasing as well and may lead to health-related issues [56]. Some stations showed an increasing trend for both the TMAX and the TMIN.…”

Section: Discussionmentioning

confidence: 99%

A Trend Analysis of Temperature in Selected Stations in Nigeria Using Three Different Approaches

Ragatoa¹,

Ogunjobi²,

Okhimamhe³

et al. 2018

OALib

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This study used daily observation data obtained from the Nigerian Meteorological Agency (NiMet) to investigate the temperature trend of Nigeria from 1981-2015. The data were homogenised using the Quantile Matching (QM) method and Quality Controlled. The data have been transformed into three sets of data with different periods: daily, monthly and yearly. The datasets (daily, monthly and yearly) were checked for autocorrelation and if they were found auto correlated, the Modified Mann Kendall (MMK) and the PreWhitening (PW) methods were used and compared, if not the normal Mann Kendall (MK) test was applied. The results showed for the different methods, variations in the trend from one station to another and for the minimum and maximum temperature. These variations were observed in the different methods and data screening the performance of each of the methods in the datasets. The general trend was found to be increasing. The variations in the temperature increase the Diurnal Temperature Range (DTR) that impact human health and increase the probability of occurrence of extreme events.

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“…However, high and low ambient temperatures have been associated with mortality (Ma et al, 2014;Guo et al, 2014), cardiorespiratory morbidity (Turner et al, 2012;Ye et al, 2012;Cheng et al, 2014), hospital admissions (Hondula and Barnett, 2014), and children's mortality and hospitalization (Xu et al, 2012). Specifically, the urban heat island effect contributed significantly to health impacts of the 2003 heat wave in Paris (Laaidi et al, 2012).…”

Section: Cars-related Environmental Exposure and Healthmentioning

confidence: 97%