A comparison of smokers' and ex-smokers' health-related quality of life. 1997

M Tillmann, and J Silcock
Postgraduate Studies in Pharmaceutical Technology, University of Bradford, UK.

BACKGROUND The aim of the study was to assess the difference in health status between current smokers and ex-smokers of five years or greater standing. METHODS A group of current smokers and a group of ex-smokers (of five years or greater standing) in Aberdeen, north-east Scotland, were each sent a postal questionnaire containing SF-36, EuroQol, condition-specific and socio-demographic questions. The subjects were 3000 adults (1500 smokers, 1500 ex-smokers) randomly selected from the records of nine general practices. The main outcome measures were the eight scales within the SF-36 health profile, EuroQol tariff scores and assessment of respiratory symptoms. RESULTS Smoking cessation leads to an improvement in a range of respiratory symptoms and health-related quality of life. However, in some cases other socio-economic characteristics are better indications of quality of life than smoking status. CONCLUSIONS Smoking cessation leads to a significant improvement in a range of respiratory symptoms. There appear to be significant differences between smokers' and ex-smokers' perceived quality of life. However, these differences are relatively small and in the majority of cases are better explained by variation in age, housing and economic status. When promoting smoking cessation to patients it is possible to highlight expected improvements in respiratory symptoms, impact on global quality of life and longer-term disease effects.

UI MeSH Term Description Entries
D008297 Male Males
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D011788 Quality of Life A generic concept reflecting concern with the modification and enhancement of life attributes, e.g., physical, political, moral, social environment as well as health and disease. HRQOL,Health-Related Quality Of Life,Life Quality,Health Related Quality Of Life
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
D012120 Respiration Disorders Diseases of the respiratory system in general or unspecified or for a specific respiratory disease not available. Disorder, Respiration,Disorders, Respiration,Respiration Disorder
D005260 Female Females
D006304 Health Status The level of health of the individual, group, or population as subjectively assessed by the individual or by more objective measures. General Health,General Health Level,General Health Status,Level of Health,Overall Health,Overall Health Status,General Health Levels,Health Level,Health Level, General,Health Levels,Health Status, General,Health Status, Overall,Health, General,Health, Overall,Level, General Health,Levels, General Health,Status, General Health,Status, Health,Status, Overall Health
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
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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