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Denmark Statistics

In 1990, Vatten et al.51 in Norway subsequently reviewed data on breast cancer risk from a cohort of 14,593 women with 152 cases of breast cancer during a follow up of 12 years on subjects who were between 35 and 51 years old at the beginning of the study and between 46 and 63 years at the end. They reported no overall statistically significant correlation between breast cancer and coffee consumption, but when body mass index was taken into account, lean women who consumed >5 cups per day had a lower risk than women who drank two cups or less. In obese women, however, there was a positive correlation between coffee intake and breast cancer. In a 1993 study, though, Folsom and associates52 failed to find an association between caffeine and postmenopausal breast cancer in 34,388 women in the Iowa Women s Health Study, with a median caffeine intake of 212 mg/day in women who developed breast cancer and 201 mg/day for women who did not and in Denmark, Ewertz53 studied... [Pg.335]

To understand these processes and correlate residue profiles with specific toxic responses required congener-specific methods of analysis and complex statistical techniques (principal component analysis). Using these techniques, it was established that eggs of Forster s terns of two colonies differed significantly in PCB composition (Schwartz and Stalling 1991). Similar techniques were used to identify various PCB-contaminated populations of harbor seals (Phoca vitulina) in Denmark (Storr-Hansen and Spliid 1993). [Pg.1318]

In the planning of a trial it is necessary to calculate the number of persons needed to be able to detect a predefined difference. In many countries, e.g. in Denmark, ethical approval is not given if a proper statistical power analysis is not given. [Pg.253]

Denmark. The government statistical department publishes annually statistics on population, weather, surface area, employment, housing, agriculture, industry (numbers employed in different branches), output of principal products (virtually no chemicals), fuel and power supplies, transport, consumption of food and staple commodities, cost of living, wholesale and retail prices, public finance, social insurance, and education. This publication (11) is in French as well as Danish. [Pg.59]

DIAFE [Danish Institute of Agricultural and Fisheries Economics, Denmark] (1998-2002), Account Statistics of Organic Farming, Ministry of Food, Agriculture and Fisheries, Series G, Nos. 1-5. [Pg.151]

Ripley, B. D. (1993) Statistical Aspects of Neural Networks, Proceedings Sem Stat (Seminaire Europeen de Statistique), Sandbjerg, Denmark, 1992, Chapman Hall, London. [Pg.252]

The World Health Statistics Annual (WHO, 1978) indicates a distinct geographical distribution of cardiovascular disease incidence, with Sweden, Scotland, Denmark, USA, England and Wales, Ireland, Finland, Austria, Norway and Australia being the top ten and with Costa Rica, Japan, Hong Kong, Phillipines, Mexico, Equador, Dominican Republic, Martinique, Honduras and Thailand being the bottom ten, in their incidence rates of atherosclerosis-related deaths, out of the 48 countries listed. [Pg.533]

It is very difficult to compare the amounts of waste plastics generated in different countries. The methodologies used to obtain the statistics are different and dates of publications vary. The Organization for Economic Cooperation and Development (OECD) consists of Austria, Australia, Belgium, Canada, Denmark, Finland, France, Germany, Italy, Japan, the Netherlands, New Zealand, Norway, Spain, Sweden, Switzerland, Turkiye and the United States. OECD countries produced a total of 420 millions tons of municipal waste per year ( late 80s ),[3]. If one assumes that 8% of that waste is plastic the total amount of plastics in the municipal solid waste is 34 million tons. If that material was worth only 0.10 per kilogram, the total value would be around 3.4 billion. [Pg.9]


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