Biomaterial Database

[Air pollution and infant mortality from pneumonia]. 1991

M L Penna, and M P Duchiade

Instituto de Medicina Social, Universidad del Estado del Rio de Janeiro, Brasil.

This study examines the relationship between air pollution, measured as concentration of suspended particulates in the atmosphere, and infant mortality due to pneumonia in the metropolitan area of Rio de Janeiro. Multiple linear regression (progressive or stepwise method) was used to analyze infant mortality due to pneumonia, diarrhea, and all causes in 1980, by geographic area, income level, and degree of contamination. While the variable "proportion of families with income equivalent to more than two minimum wages" was included in the regressions corresponding to the three types of infant mortality, the average contamination index had a statistically significant coefficient (b = 0.2208; t = 2.670; P = 0.0137) only in the case of mortality due to pneumonia. This would suggest a biological association, but, as in any ecological study, such conclusions should be viewed with caution. We believe that air quality indicators are essential to consider in studies of acute respiratory infections in developing countries.

UI	MeSH Term	Description	Entries
D007223	Infant	A child between 1 and 23 months of age.	Infants
D007231	Infant, Newborn	An infant during the first 28 days after birth.	Neonate,Newborns,Infants, Newborn,Neonates,Newborn,Newborn Infant,Newborn Infants
D011014	Pneumonia	Infection of the lung often accompanied by inflammation.	Experimental Lung Inflammation,Lobar Pneumonia,Lung Inflammation,Pneumonia, Lobar,Pneumonitis,Pulmonary Inflammation,Experimental Lung Inflammations,Inflammation, Experimental Lung,Inflammation, Lung,Inflammation, Pulmonary,Inflammations, Lung,Inflammations, Pulmonary,Lobar Pneumonias,Lung Inflammation, Experimental,Lung Inflammations,Lung Inflammations, Experimental,Pneumonias,Pneumonias, Lobar,Pneumonitides,Pulmonary Inflammations
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
D001938	Brazil	A country located on the eastern coast of South America, located between Colombia and Peru, that borders the Atlantic Ocean. It is bordered on the north by Venezuela, Guyana, Suriname, and French Guiana, on the south by Uruguay, and on the west by Argentina. The capital is Brasilia.
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
D002675	Child, Preschool	A child between the ages of 2 and 5.	Children, Preschool,Preschool Child,Preschool Children
D003968	Diarrhea, Infantile	DIARRHEA occurring in infants from newborn to 24-months old.	Infantile Diarrhea,Diarrheas, Infantile,Infantile Diarrheas
D004198	Disease Susceptibility	A constitution or condition of the body which makes the tissues react in special ways to certain extrinsic stimuli and thus tends to make the individual more than usually susceptible to certain diseases.	Diathesis,Susceptibility, Disease,Diatheses,Disease Susceptibilities,Susceptibilities, Disease
D006801	Humans	Members of the species Homo sapiens.	Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man