Biomaterial Database

Regionalizing mortality data: ischaemic heart disease in Norway. 1989

A Aase

Department of Geography, University of Trondheim, Dragvoll, Norway.

The way regions are delimited has a bearing on the geographical patterns and time trends which emerge from cause specific mortality analysis. Whenever possible, alternative regionalizations should be used to explore the full information potential of the data. For statistical reasons, the size of the regional units (populations-at-risk) should be selected according to the frequency of the cause of death, number of years in the time period, etc. A geographical mortality information system for Norway, based on individual death records and with quick and flexible retrieval options is described. As a demonstration, geographical time trends in ischaemic heart disease from 1970 to 1985 are studied, using different schemes of regionalization. A clear tendency towards regional convergence appears in the rural-urban dimension, but there is no convergence between the five subnational regions of the country. There is no evidence that counties which have received heart disease intervention projects fare any better than those which have not, but here a more thorough analysis is recommended. Within the intervention counties, there are large variations both in mortality levels and trends.

UI	MeSH Term	Description	Entries
D008297	Male		Males
D008875	Middle Aged	An adult aged 45 - 64 years.	Middle Age
D009664	Norway	A country located in northern Europe, bordering the North Sea and the Atlantic Ocean, west of Sweden. The capital is Oslo.	Kingdom of Norway
D002423	Cause of Death	Factors which produce cessation of all vital bodily functions. They can be analyzed from an epidemiologic viewpoint.	Causes of Death,Death Cause,Death Causes
D003327	Coronary Disease	An imbalance between myocardial functional requirements and the capacity of the CORONARY VESSELS to supply sufficient blood flow. It is a form of MYOCARDIAL ISCHEMIA (insufficient blood supply to the heart muscle) caused by a decreased capacity of the coronary vessels.	Coronary Heart Disease,Coronary Diseases,Coronary Heart Diseases,Disease, Coronary,Disease, Coronary Heart,Diseases, Coronary,Diseases, Coronary Heart,Heart Disease, Coronary,Heart Diseases, Coronary
D003625	Data Collection	Systematic gathering of data for a particular purpose from various sources, including questionnaires, interviews, observation, existing records, and electronic devices. The process is usually preliminary to statistical analysis of the data.	Data Collection Methods,Dual Data Collection,Collection Method, Data,Collection Methods, Data,Collection, Data,Collection, Dual Data,Data Collection Method,Method, Data Collection,Methods, Data Collection
D006801	Humans	Members of the species Homo sapiens.	Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000368	Aged	A person 65 years of age or older. For a person older than 79 years, AGED, 80 AND OVER is available.	Elderly
D012307	Risk Factors	An aspect of personal behavior or lifestyle, environmental exposure, inborn or inherited characteristic, which, based on epidemiological evidence, is known to be associated with a health-related condition considered important to prevent.	Health Correlates,Risk Factor Scores,Risk Scores,Social Risk Factors,Population at Risk,Populations at Risk,Correlates, Health,Factor, Risk,Factor, Social Risk,Factors, Social Risk,Risk Factor,Risk Factor Score,Risk Factor, Social,Risk Factors, Social,Risk Score,Score, Risk,Score, Risk Factor,Social Risk Factor
D012424	Rural Population	The inhabitants of rural areas or of small towns classified as rural.	Rural Residence,Rural Communities,Rural Spatial Distribution,Communities, Rural,Community, Rural,Distribution, Rural Spatial,Distributions, Rural Spatial,Population, Rural,Populations, Rural,Residence, Rural,Rural Community,Rural Populations,Rural Residences,Rural Spatial Distributions