Smoking and mortality among older women: the study of osteoporotic fractures. 1996

M T Vogt, and J A Cauley, and J C Scott, and L H Kuller, and W S Browner
Department of Orthopaedic Surgery, School of Medicine, University of Pittsburgh, PA, USA.

BACKGROUND Relatively few studies have been focused on the effect of smoking among older individuals. The goal of this study is to investigate the relationship between smoking status and cause-and age-specific mortality among elderly women. METHODS Women aged 65 years and older and living in four geographical areas (Baltimore, Md, Minneapolis, Minn, Pittsburgh, Pa, and Portland, Ore) were recruited from various population-based listings for participation in the multicenter Study of Osteoporotic Fractures between September 1986 and October 1988 (N=9704). During a mean follow-up of 4.9 years (<99% complete), 751 deaths occurred. The date and cause of death were ascertained, and the relationship between mortality and current and past smoking status was analyzed using Cox proportional hazards modeling techniques. RESULTS Compared with nonsmokers, women smokers aged 65 to 74 years have a more than twofold increase in mortality attributable to increases in both cardiovascular and cancer mortality; death from smoking-related cancers increased eight- to 10-fold. Women 75 years and older who smoke have a small overall increased relative risk (RR) of mortality (RR=1.4; 95% confidence interval [CI], 0.9 to 2.3), but more than five-fold increased risk of dying from a smoking-related cancer (RR=5.2; 95% CI, 1.6 to 16.8). All-cause and cardiovascular death rates approach those of nonsmokers within 10 years after a woman quits smoking; morality from smoking-related cancers remains elevated for at least 23 years. CONCLUSIONS The harmful effects of continuing to smoke are apparent even among women aged 75 years and older.

UI MeSH Term Description Entries
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
D000368 Aged A person 65 years of age or older. For a person older than 79 years, AGED, 80 AND OVER is available. Elderly
D012907 Smoking Willful or deliberate act of inhaling and exhaling SMOKE from burning substances or agents held by hand. Smoking Behaviors,Smoking Habit,Behavior, Smoking,Behaviors, Smoking,Habit, Smoking,Habits, Smoking,Smoking Behavior,Smoking Habits
D014481 United States A country in NORTH AMERICA between CANADA and MEXICO.
D015331 Cohort Studies Studies in which subsets of a defined population are identified. These groups may or may not be exposed to factors hypothesized to influence the probability of the occurrence of a particular disease or other outcome. Cohorts are defined populations which, as a whole, are followed in an attempt to determine distinguishing subgroup characteristics. Birth Cohort Studies,Birth Cohort Study,Closed Cohort Studies,Cohort Analysis,Concurrent Studies,Historical Cohort Studies,Incidence Studies,Analysis, Cohort,Cohort Studies, Closed,Cohort Studies, Historical,Studies, Closed Cohort,Studies, Concurrent,Studies, Historical Cohort,Analyses, Cohort,Closed Cohort Study,Cohort Analyses,Cohort Studies, Birth,Cohort Study,Cohort Study, Birth,Cohort Study, Closed,Cohort Study, Historical,Concurrent Study,Historical Cohort Study,Incidence Study,Studies, Birth Cohort,Studies, Cohort,Studies, Incidence,Study, Birth Cohort,Study, Closed Cohort,Study, Cohort,Study, Concurrent,Study, Historical Cohort,Study, Incidence
D016016 Proportional Hazards Models Statistical models used in survival analysis that assert that the effect of the study factors on the hazard rate in the study population is multiplicative and does not change over time. Cox Model,Cox Proportional Hazards Model,Hazard Model,Hazards Model,Hazards Models,Models, Proportional Hazards,Proportional Hazard Model,Proportional Hazards Model,Cox Models,Cox Proportional Hazards Models,Hazard Models,Proportional Hazard Models,Hazard Model, Proportional,Hazard Models, Proportional,Hazards Model, Proportional,Hazards Models, Proportional,Model, Cox,Model, Hazard,Model, Hazards,Model, Proportional Hazard,Model, Proportional Hazards,Models, Cox,Models, Hazard,Models, Hazards,Models, Proportional Hazard

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