[Trends in cancer mortality in the province of Huelva (1980-1991)]. 1996

E Márquez Contreras, and J J Casado Martínez, and A Aguado Núñez-Cornejo, and R Ruiz Bonilla
Centro de Salud, La Orden y Ayuntamiento de Huelva.

OBJECTIVE To evaluate the tendency of cancer mortality in Huelva between 1980 and 1991. METHODS Study of mortality. METHODS Province of Huelva. METHODS All deaths and their causes were studied, using the Death Register of the National Institute of Statistics. RESULTS Mortality due to the most common malign tumours (MI) was analysed (lung, lip, mouth cavity and pharynx, breast, body and neck of uterus, ovaries, oesophagus, stomach, colon, liver, pancreas, prostate, bladder, leukaemia, Hodgkin's, bones and cartilages, brain and skin). The standardised and theoretical rates were calculated for age, year, gender and specific rates. Cancer accounted for 20.8% of deaths (males, 25.29%; women, 16%). The mortality rates for cancer tended to rise significantly, both overall and for both genders (men in 1980, 201 per 100,000 and in 1991, 230; women in 1980, 112 and in 1991, 124). The highest rates for males were for lung, prostate and stomach MTs; and for women, breast, stomach and colon MTs. Lung MT and leukaemia increased in men; whereas breast, neck of uterus, ovaries and Hodgkin's disease increased in women. Bladder, mouth cavity, colon, pancreas and skin MTs were on the rise in both sexes. The highest specific rate was in under-45s for Leukaemia; and in over-45s, for lung MT in men and breast MT in women. CONCLUSIONS Cancer is the second cause of death in Huelva and is on the rise. The rates of death in men due to lung MT and in women to breast MT are particularly high.

UI MeSH Term Description Entries
D008297 Male Males
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D009369 Neoplasms New abnormal growth of tissue. Malignant neoplasms show a greater degree of anaplasia and have the properties of invasion and metastasis, compared to benign neoplasms. Benign Neoplasm,Cancer,Malignant Neoplasm,Tumor,Tumors,Benign Neoplasms,Malignancy,Malignant Neoplasms,Neoplasia,Neoplasm,Neoplasms, Benign,Cancers,Malignancies,Neoplasias,Neoplasm, Benign,Neoplasm, Malignant,Neoplasms, Malignant
D012044 Regression Analysis Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable. Regression Diagnostics,Statistical Regression,Analysis, Regression,Analyses, Regression,Diagnostics, Regression,Regression Analyses,Regression, Statistical,Regressions, Statistical,Statistical Regressions
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
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000328 Adult A person having attained full growth or maturity. Adults are of 19 through 44 years of age. For a person between 19 and 24 years of age, YOUNG ADULT is available. Adults
D000367 Age Factors Age as a constituent element or influence contributing to the production of a result. It may be applicable to the cause or the effect of a circumstance. It is used with human or animal concepts but should be differentiated from AGING, a physiological process, and TIME FACTORS which refers only to the passage of time. Age Reporting,Age Factor,Factor, Age,Factors, Age
D000368 Aged A person 65 years of age or older. For a person older than 79 years, AGED, 80 AND OVER is available. Elderly

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