Smoking and diabetes: readiness for change and provider advice.

Smoking is a serious health risk, particularly for people with diabetes. This study was designed to examine important aspects of smoking in a large group of individuals with diabetes. A survey was mailed to 2,056 individuals with diabetes. The variables examined were the stages of change for smoking, prevalence of quitting advice given by health care providers, and the patterns of readiness for change. The majority (57.8%) of current smokers were in the precontemplation stage. Comparisons on the stage of change indicated that more individuals with Type 2 diabetes have quit while there are more current smokers among those with Type 1 diabetes. Comparisons on current smokers indicated no differences on stage of change across the Type 1 and Type 2 groups, across three subgroups of individuals with Type 2 diabetes, or across duration of diabetes. Those who reported that they were given cessation advice were further along in the stages of change. These results suggest that the majority of individuals with diabetes who smoke are in the precontemplation stage of change and provider advice is important in moving smokers toward change. The current findings underscore the importance of assessing stage of change and providing stage-matched interventions when working with smokers with diabetes.

Development of a pregnancy-tailored decisional balance measure for smoking cessation.

The Transtheoretical Model suggests that perception of pros and cons of smoking (decisional balance) is related to quitting. This study examined the underlying structure of decisional balance items to aid in development of a pregnancy-tailored measure. A sample of 281 low-income, pregnant women attending public maternity clinics who smoked or had recently quit smoking completed a decisional balance measure. The measure included items from the general decisional balance scale plus pregnancy-related decisional balance items. Confirmatory factor analysis examining the general-plus-pregnancy-related items suggested a four-factor solution, with factors representing general pros, pregnancy-related pros, cons related to disapproval from others, and health-related cons. Perceptions of pregnancy-related pros and disapproval-related cons differed significantly across stages of change. Findings suggest that inclusion of pregnancy-related items could provide additional information about concerns that are salient during pregnancy.

Diabetes self-management. Self-reported recommendations and patterns in a large population.

OBJECTIVE: Diabetes self-management is the cornerstone of overall diabetes management. Yet many questions concerning self-management remain unanswered. The current study was designed to examine several questions about diabetes self-management: 1) What do individuals report being told to do? 2) What are their self-reported levels and patterns of self-care? 3) Are there differences on self-reported self-management recommendations and levels across various subgroups? RESEARCH DESIGN AND METHODS: Mailed surveys were returned by 2,056 individuals (73.4% response rate). Of the total, 13.8% had IDDM and the remainder had NIDDM, with 65% of the NIDDM group using insulin. RESULTS: The levels and patterns of self-management were consistent with those found in previous studies, i.e., individuals most regularly followed their prescribed medication regimen and least regularly followed recommendations for lifestyle changes of diet and exercise. There were significant differences on reported self-management recommendations across different subgroups. Comparisons on level of self-management across diabetes type revealed significant differences for diet and glucose testing. Differences were also found on self-management levels for a number of individual characteristics, including age, working status, and type of insurance, along with knowledge of the Diabetes Control and Complications Trial findings. CONCLUSIONS: These findings provide important information on perceived self-management recommendations and the specific self-management levels and patterns in individuals with diabetes. The current findings may help health professionals better understand the levels and correlates of diabetes self-management and direct future research.