Literature DB >> 6789367

Factors that differentiate smokers from exsmokers in a Florida metropolitan area.

S A Dzegede, J R Hackworth, S W Pike.   

Abstract

Since many communities have limited resources to devote to public health programs, and since smoking is a proved health hazard, it is important to know which factors are associated with people who successfully quit smoking, as well as to identify those subpopulations at greatest risk of continuing to smoke. A large sample survey of households in a metropolitan Florida county revealed that those who had quit smoking for at least a year tended to be married, more educated, early retirees, middle income, light or heavy (but not moderate) smokers, or older than 64 years. Nonwhite men, as a group, were found to have a high smoking rate and a low cessation rate. Other high-risk categories were persons 20--49 who were either not married or whose household incomes were less than $10,000 annually. The authors recommend that smoking cessation programs focusing on cost effectiveness gear their efforts toward the types of persons found to be more successful at quitting. Programs based on cost-benefit analysis, on the other hand, should target their efforts on the high-risk groups in the population.

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Mesh:

Year:  1981        PMID: 6789367      PMCID: PMC1424231     

Source DB:  PubMed          Journal:  Public Health Rep        ISSN: 0033-3549            Impact factor:   2.792


  16 in total

1.  Relative effects of low socio-economic status, parental smoking and poor scholastic performance on smoking among high school students.

Authors:  B L Borland
Journal:  Soc Sci Med       Date:  1975-01       Impact factor: 4.634

2.  Smoking cessation and sex role convergence.

Authors:  R Bossé; C L Rose
Journal:  J Health Soc Behav       Date:  1976-03

3.  Five year follow-up of a smoking withdrawal clinic population.

Authors:  D W West; S Graham; M Swanson; G Wilkinson
Journal:  Am J Public Health       Date:  1977-06       Impact factor: 9.308

4.  Current smoking habits by selected background variables: Their effect on future disease trends.

Authors:  E L Wynder; L S Covey; K Mabuchi
Journal:  Am J Epidemiol       Date:  1974-09       Impact factor: 4.897

5.  Age and interpersonal factors in smoking cessation.

Authors:  R Bossé; C L Rose
Journal:  J Health Soc Behav       Date:  1973-12

6.  Psychosocial predictors of smoking behavior change.

Authors:  R A Eisinger
Journal:  Soc Sci Med       Date:  1972-02       Impact factor: 4.634

7.  Initiation of cigarette smoking: is it related to parental smoking behavior?

Authors:  P Wohlford
Journal:  J Consult Clin Psychol       Date:  1970-04

8.  Chronic chest disease, personality, and success in stopping cigarette smoking.

Authors:  B H Burns
Journal:  Br J Prev Soc Med       Date:  1969-02

9.  Smoking habits and psycho-socio-biological factors.

Authors:  R M Rustin; F Kittel; M Dramaix; M Kornitzer; G de Backer
Journal:  J Psychosom Res       Date:  1978       Impact factor: 3.006

10.  Smoking among white, black, and yellow men and women. Kaiser-Permanente multiphasic health examination data, 1964-1968.

Authors:  G D Friedman; C C Seltzer; A B Siegelaub; R Feldman; M F Collen
Journal:  Am J Epidemiol       Date:  1972-07       Impact factor: 4.897

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  3 in total

Review 1.  Influence of cigarette smoking on morbidity and mortality after myocardial infarction.

Authors:  R Mulcahy
Journal:  Br Heart J       Date:  1983-05

2.  Occupational careers and mortality of elderly men.

Authors:  D E Moore; M D Hayward
Journal:  Demography       Date:  1990-02

3.  A population study on the time trend of cigarette smoking, cessation, and exposure to secondhand smoking from 2001 to 2013 in Taiwan.

Authors:  Chi-Yung Chiang; Hsing-Yi Chang
Journal:  Popul Health Metr       Date:  2016-11-05
  3 in total

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