[Correlates of cigarette smoking among junior and senior high school students in Japan]. 1993

Y Osaki, and M Minowa, and H Kimura
Department of Public Health, Yokohama City University School of Medicine.

Data from a nationwide cross-sectional survey of the smoking status among junior and senior high school students in Japan conducted in 1990, were utilized to provide sociodemographic correlates of the use of cigarettes. The study was based on data from 57, 189 students. The analyses examined the relationship between smoking status and 9 explanatory variables, using multiple logistic regression for both males and females. The results of logistic regression analyses revealed the following main effects: 1) Smoking by a friend had the strongest relationship to smoking status of students for both sexes. The relative risks for having a smoking experience if a friend smoked were 3.45 for junior high school boys, 5.24 for junior high school girls, 3.65 for senior high school boys and 5.54 for senior high school girls and the risks for current smoking if a friend smoked were 8.54, 15.28, 6.99 and 12.47, respectively. 2) Among both boys and girls, smoking experience and current smoking was significantly more likely if a brother or sister, or mother smoked. Awareness of the harm of smoking was also an important correlate in both sexes. Whether the students enjoyed their school life was significantly related to current smoking status for females, but not for males. 3) The relative risks for current smoking if their mothers smoked were 1.60 for junior high school boys, 1.78 for junior high school girls, 1.61 for senior high school boys and 1.61 for senior high school girls. Fathers' smoking was not selected in this stepwise multiple logistic regression model. Therefore, mothers' smoking appears to be a stronger correlate of smoking status among students than fathers' smoking. 4) The relative risks for smoking experience and current smoking if there were smokers in the family, were higher among junior high school students than senior high school students.

UI MeSH Term Description Entries
D007564 Japan A country in eastern Asia, island chain between the North Pacific Ocean and the Sea of Japan, east of the Korean Peninsula. The capital is Tokyo. Bonin Islands
D008297 Male Males
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
D003430 Cross-Sectional Studies Studies in which the presence or absence of disease or other health-related variables are determined in each member of the study population or in a representative sample at one particular time. This contrasts with LONGITUDINAL STUDIES which are followed over a period of time. Disease Frequency Surveys,Prevalence Studies,Analysis, Cross-Sectional,Cross Sectional Analysis,Cross-Sectional Survey,Surveys, Disease Frequency,Analyses, Cross Sectional,Analyses, Cross-Sectional,Analysis, Cross Sectional,Cross Sectional Analyses,Cross Sectional Studies,Cross Sectional Survey,Cross-Sectional Analyses,Cross-Sectional Analysis,Cross-Sectional Study,Cross-Sectional Surveys,Disease Frequency Survey,Prevalence Study,Studies, Cross-Sectional,Studies, Prevalence,Study, Cross-Sectional,Study, Prevalence,Survey, Cross-Sectional,Survey, Disease Frequency,Surveys, Cross-Sectional
D005190 Family A social group consisting of parents or parent substitutes and children. Family Life Cycles,Family Members,Family Life Cycle,Family Research,Filiation,Kinship Networks,Relatives,Families,Family Member,Kinship Network,Life Cycle, Family,Life Cycles, Family,Network, Kinship,Networks, Kinship,Research, Family
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000293 Adolescent A person 13 to 18 years of age. Adolescence,Youth,Adolescents,Adolescents, Female,Adolescents, Male,Teenagers,Teens,Adolescent, Female,Adolescent, Male,Female Adolescent,Female Adolescents,Male Adolescent,Male Adolescents,Teen,Teenager,Youths
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
D012306 Risk The probability that an event will occur. It encompasses a variety of measures of the probability of a generally unfavorable outcome. Relative Risk,Relative Risks,Risk, Relative,Risks,Risks, Relative

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