The influence of weather on human mortality in Hong Kong

Yan, Yuk Yee

doi:10.1016/s0277-9536(99)00301-9

Cited by 57 publications

(55 citation statements)

References 26 publications

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“…Seasonal variations in the incidence of vascular diseases and overall mortality have already been demonstrated [17][18][19][20]. The main hypothesis to explain these very reproducible variations is the infectious origin of a high percentage of haemoptysis cases.…”

Section: Discussionmentioning

confidence: 96%

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Haemoptysis in adults: a 5-year study using the French nationwide hospital administrative database

et al. 2015

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Haemoptysis is a serious symptom with various aetiologies. Our aim was to define the aetiologies, outcomes and associations with lung cancer in the entire population of a high-income country.This retrospective multicentre study was based on the French nationwide hospital medical information database collected over 5 years (2008)(2009)(2010)(2011)(2012). We analysed haemoptysis incidence, aetiologies, geographical and seasonal distribution and mortality. We studied recurrence, association with lung cancer and mortality in a 3-year follow-up analysis.Each year, ∼15 000 adult patients (mean age 62 years, male/female ratio 2/1) were admitted for haemoptysis or had haemoptysis as a complication of their hospital stay, representing 0.2% of all hospitalised patients. Haemoptysis was cryptogenic in 50% of cases. The main aetiologies were respiratory infections (22%), lung cancer (17.4%), bronchiectasis (6.8%), pulmonary oedema (4.2%), anticoagulants (3.5%), tuberculosis (2.7%), pulmonary embolism (2.6%) and aspergillosis (1.1%). Among incident cases, the 3-year recurrence rate was 16.3%. Of the initial cryptogenic haemoptysis patients, 4% were diagnosed with lung cancer within 3 years. Mortality rates during the first stay and at 1 and 3 years were 9.2%, 21.6% and 27%, respectively. This is the first epidemiological study analysing haemoptysis and its outcomes in an entire population. Haemoptysis is a life-threatening symptom unveiling potentially life-threatening underlying conditions. @ERSpublications Haemoptysis is ominous: there is often no clear aetiology and 4% of patients develop lung cancer during follow-up

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Section: Discussionmentioning

confidence: 96%

“…The main hypothesis to explain these very reproducible variations is the infectious origin of a high percentage of haemoptysis cases. Other hypotheses, such as hypertensive crises due to cold weather, variations in metabolism, the intake of vitamin C and variations in atmospheric pressure have been put forward [17][18][19][20].…”

Section: Discussionmentioning

confidence: 99%

Haemoptysis in adults: a 5-year study using the French nationwide hospital administrative database

et al. 2015

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“…Yan [3] [12]. In order to determine the effects of season on mortality, this paper examines summer and winter separately: max and max NET for summer, min and min NET for winter, as well as DTR in summer and winter.…”

Section: Seasonal Analysismentioning

confidence: 99%

“…In subtropical Asia, this issue has been investigated in countries including Japan, China, and South Korea. Most heat-related mortality research in Hong Kong has been conducted in the last decade [1][2][3][4][5]. A summary of previous �ndings in Hong Kong is outlined in Table 1.…”

Section: Introductionmentioning

confidence: 99%

An Exploration of Temperature Metrics for Further Developing the Heat-Health Weather Warning System in Hong Kong

Lam

Loughnan

Tapper

2013

ISRN Atmospheric Sciences

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Background. e current weather warning system aims to reduce mortality from heat and cold stress but still has room to be improved in terms of incorporating other temperature metrics. e aim of this study is to determine how extreme temperature affects mortality in Hong Kong. Methods. An ecological study was used; daily weather data were subdivided into seven temperature metrics. Daily detrended mortality data were strati�ed by disease groups and analysed using seven different metrics for temperature. e temperature metrics were then compared. Results. A diurnal temperature range (DTR) of ≥8 ∘ C leading to an increase in median mortality of up to 16% and a mean temperature change between neighbouring days of ≥4 ∘ C leading to an increase in median mortality of up to 6% were the critical thresholds for excess mortality in Hong Kong. Conclusions. is study reveals that mean net effective temperature, DTR, and temperature change between neighbouring days are effective to predict excess mortality in Hong Kong.

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“…Consequently, we were puzzled by the results of several studies on seasonality that included the factor sex. They typically found no significant differences between women and men in seasonality in all-cause mortality (Eurowinter Group, 1997;Gemmell et al, 2000;Nakai et al, 1999;Yan, 2000).…”

mentioning

confidence: 99%

Seasonal mortality in Denmark

Rau¹,

Doblhammer²

2003

DemRes

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Our paper addresses two questions on seasonal mortality: How do women and men differ with respect to seasonal fluctuations in mortality? How does seasonality in death change with age? The analysis is based on a sample of all Danes aged 50 and older on 1 April 1968 who were followed for 30 years.In contrast to previous studies we found remarkable differences between women and men in their seasonal mortality patterns. Men showed larger seasonal fluctuations than women indicating a higher susceptibility to environmental stressful periods.We found that seasonality increases with age. However, we discovered again a sex difference: women's seasonality starts increasing at later ages than men's.

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The influence of weather on human mortality in Hong Kong

Cited by 57 publications

References 26 publications

Haemoptysis in adults: a 5-year study using the French nationwide hospital administrative database

Haemoptysis in adults: a 5-year study using the French nationwide hospital administrative database

An Exploration of Temperature Metrics for Further Developing the Heat-Health Weather Warning System in Hong Kong

Seasonal mortality in Denmark

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