The relationship between religious activities and cigarette smoking in older adults. 1998

H G Koenig, and L K George, and H J Cohen, and J C Hays, and D B Larson, and D G Blazer
Center for the Study of Religion/Spirituality and Health, Department of Psychiatry, Duke University Medical Center, Durham, North Carolina 27710, USA. Koenig@geri.duke.edu

BACKGROUND The objective of this study was to examine the relationship between religious activities and cigarette smoking in community-dwelling older adults. METHODS Cigarette smoking and religious activities were assessed in a probability sample of 3968 persons age 65 years or older participating in the Duke Populations for Epidemiologic Studies of the Elderly (EPESE) survey. Participants were asked if they currently smoked, if they ever smoked, and how many cigarettes per day they smoked. Attendance at religious services, participation in private religious activities (prayer or Bible study), and use of religious media (religious TV or radio) were also assessed. Data were available for Waves I-III of the survey (1986, 1989, and 1992). Analyses were controlled for age, race, sex, education, alcohol use, physical health, and in the longitudinal analyses, smoking status at prior waves. RESULTS Cross-sectional analyses revealed that participants who frequently attended religious services were significantly less likely to smoke cigarettes at all three waves. Likewise, elders frequently involved in private religious activity were less likely to smoke (Waves II and III). Total number of pack-years smoked was also inversely related to both attendance at religious services and private religious activities. Watching religious TV or listening to religious radio, on the other hand, was not related to smoking at Waves I and II nor to total pack-years smoked, but was positively related to current smoking at Wave III. Among those who smoked, number of cigarettes smoked was inversely related to frequency of attendance at religious services (Wave I), private religious activities (Wave III), and religious TV/radio (Waves II and III). Retrospective and prospective analyses revealed that religiously active persons were less likely to ever start smoking, not more likely to quit smoking. CONCLUSIONS Religiously active persons are less likely to smoke cigarettes, and if they do smoke, smoke fewer cigarettes. Given the association between smoking and disease, and the widespread prevalence of both smoking and religious activity, this finding has implications for public health.

UI MeSH Term Description Entries
D008297 Male Males
D008962 Models, Theoretical Theoretical representations that simulate the behavior or activity of systems, processes, or phenomena. They include the use of mathematical equations, computers, and other electronic equipment. Experimental Model,Experimental Models,Mathematical Model,Model, Experimental,Models (Theoretical),Models, Experimental,Models, Theoretic,Theoretical Study,Mathematical Models,Model (Theoretical),Model, Mathematical,Model, Theoretical,Models, Mathematical,Studies, Theoretical,Study, Theoretical,Theoretical Model,Theoretical Models,Theoretical Studies
D012067 Religion A set of beliefs concerning the nature, cause, and purpose of the universe, especially when considered as the creation of a superhuman agency. It usually involves devotional and ritual observances and often a moral code for the conduct of human affairs. (Random House Collegiate Dictionary, rev. ed.) Prayer,Religious Beliefs,Religious Ethics,Beliefs, Religious,Ethic, Religious,Prayers,Religions,Religious Belief
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
D003625 Data Collection Systematic gathering of data for a particular purpose from various sources, including questionnaires, interviews, observation, existing records, and electronic devices. The process is usually preliminary to statistical analysis of the data. Data Collection Methods,Dual Data Collection,Collection Method, Data,Collection Methods, Data,Collection, Data,Collection, Dual Data,Data Collection Method,Method, Data Collection,Methods, Data Collection
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
D000369 Aged, 80 and over Persons 80 years of age and older. Oldest Old
D000375 Aging The gradual irreversible changes in structure and function of an organism that occur as a result of the passage of time. Senescence,Aging, Biological,Biological Aging

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