Diabetic medicine : a journal of the British Diabetic Association · 2012
Types of smokers in a community sample of individuals with Type 2 diabetes: a latent class analysis.
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Gariepy G, Malla A, Wang J, Messier L, Strychar I, Lesage A, Schmitz N
Аннотация
AIMS: Despite the detrimental effects of smoking on their health, a high number of adults with Type 2 diabetes continue to smoke. Identifying distinct types of smokers within this population could help tailor and target intervention programmes. This study examined whether smokers with Type 2 diabetes could be classified into different profiles based on smoking habits, socio-economic characteristics and lifestyle factors.
METHODS: A sample of adults with self-reported diabetes was selected from random-digit dialing. Analyses included 383 participants with Type 2 diabetes who were current smokers. Information related to smoking, socio-economic status, health and lifestyle was collected by phone interview at baseline and 1 year later. Latent class analysis was used to identify subgroups of smokers.
RESULTS: We uncovered three meaningful classes of smokers: class 1, long-time smokers with long-standing diabetes (n = 105); class 2, heavy smokers with deprived socio-economic status, poor health and unhealthy lifestyle characteristics (n = 105); class 3, working and active smokers who were more recently diagnosed with diabetes (n = 173). Members of class 2 were significantly more likely to be disabled and depressed at baseline and 1 year later compared with other classes.
CONCLUSIONS: Different profiles of smokers exist among adults with Type 2 diabetes, each suggesting different cessation treatment needs. Distinguishing between these types of smokers may enable clinicians to tailor their approach to smoking cessation.
METHODS: A sample of adults with self-reported diabetes was selected from random-digit dialing. Analyses included 383 participants with Type 2 diabetes who were current smokers. Information related to smoking, socio-economic status, health and lifestyle was collected by phone interview at baseline and 1 year later. Latent class analysis was used to identify subgroups of smokers.
RESULTS: We uncovered three meaningful classes of smokers: class 1, long-time smokers with long-standing diabetes (n = 105); class 2, heavy smokers with deprived socio-economic status, poor health and unhealthy lifestyle characteristics (n = 105); class 3, working and active smokers who were more recently diagnosed with diabetes (n = 173). Members of class 2 were significantly more likely to be disabled and depressed at baseline and 1 year later compared with other classes.
CONCLUSIONS: Different profiles of smokers exist among adults with Type 2 diabetes, each suggesting different cessation treatment needs. Distinguishing between these types of smokers may enable clinicians to tailor their approach to smoking cessation.