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4.
Clin Cardiol ; 8(3): 149-51, 1985 Mar.
Article in English | MEDLINE | ID: mdl-3978886

ABSTRACT

The date of occurrence of a heart infarct was tabulated for 162 patients admitted to four Munich clinics with cardiology departments from January 1 to July 31, 1981. This occurrence calendar was correlated with the daily average density of 28 KHz and 10 KHz atmospheric (atm) impulses and several classic weather parameters. The occurrence of heart infarcts has a certain positive correlation with the increased appearance of "pure" 28 KHz impulses, the correlation with 10 KHz impulses is very slight. Among the classic weather parameters, the average daily humidity has the highest negative correlation coefficient.


Subject(s)
Atmospheric Pressure , Myocardial Infarction/etiology , Weather , Aged , Female , Germany, West , Humans , Humidity , Male , Middle Aged , Myocardial Infarction/mortality , Temperature
6.
Zentralbl Bakteriol B ; 169(3-4): 391-7, 1979 Oct.
Article in German | MEDLINE | ID: mdl-543363

ABSTRACT

Many problems in bioclimatology require an accurate knowledge of the variations of all meteorological parameters which influence the thermal environment of man (i.g. short- and long-wave radiation, air temperature, wind velocity and air humidity). In addition to that a method for determining this thermal environment by a biometeorological index has to consider thermophysiologically relevant factors so as activity level and thermal resistance of the clothing. By means of the comfort equation (Fanger, 1970) it is possible, for any activity level and clothing to calculate all combinations of meteorological parameters, which will create optimal thermal comfort. The parametrization of the fluxes of short- and long-wave radiation permits to applicate this equation to outdoor conditions (Jendritzky, Sönning and Swantes, 1977). Examples for calculating some given conditions (i.g. street in the city, cross-country kinesitherapy, special land-use areas within a city) are demonstrated.


Subject(s)
Health , Temperature , Body Temperature , Clothing , Environmental Exposure , Humans , Humidity , Models, Theoretical , Wind
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