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Persons using assistive technology might not be able to fully access information in this file. For assistance, please send e-mail to: mmwrq@cdc.gov. Type 508 Accommodation and the title of the report in the subject line of e-mail. Cardiovascular Disease Risk Factors and Related Preventive Health Practices Among Adults With and Without Diabetes -- Utah, 1988-1993The risk for cardiovascular disease (CVD) among persons with diabetes is two to three times higher than among persons without diabetes, and CVD accounts for 48% of all deaths among persons with diabetes (1,2). To estimate the prevalence of CVD risk factors among and related preventive health practices of the adult population with diabetes in Utah, the Utah Diabetes Control Program (UDCP) previously had relied primarily on data from national surveys. To guide in planning and decision-making about future activities of the UDCP and to assess CVD-related behaviors and health practices among persons with diabetes, UDCP analyzed data from Utah's Behavioral Risk Factor Surveillance System (BRFSS) for 1988-1993. This report presents the findings of this analysis. Data were available for 10,388 adults who participated in the Utah BRFSS during 1988-1993. The BRFSS is a state-specific, population-based, random-digit-dialed telephone survey of the civilian, noninstitutionalized population aged greater than or equal to 18 years. The analysis examined sociodemographic characteristics, CVD risk factors, and related preventive health practices of all BRFSS respondents. SUDAAN was used to weight the results to reflect the age and sex distributions of the Utah population aged greater than or equal to 18 years and to control for potential confounding by age and sex using logistic regression (3). Of the 10,388 respondents, 405 (3.4% {95% confidence interval (CI)=3.0%-3.8%}) reported having been told by a physician they have diabetes. The unadjusted results indicated that persons with diabetes were more likely than persons without diabetes to be older and female, to have attained a lower level of education, to be retired, and to have lower annual incomes Table_1. Among persons with diabetes, risk factors for CVD were highly prevalent Table_2: 50% reported having been told by a health-care professional they have high blood pressure, and 11% reported current smoking *. After controlling for potential confounding by age and sex, persons with diabetes were approximately 2.5 times more likely than persons without diabetes to report having high blood pressure (odds ratio {OR}=2.7; 95% CI=2.1-3.4) and to be obese ** (OR=2.5; 95% CI=2.0-3.2) and somewhat more likely to report a sedentary lifestyle *** (OR=1.3; 95% CI=1.0-1.7). Persons with diabetes were more likely than persons without diabetes to report having engaged in health practices to prevent CVD Table_2, including having had a routine examination (86% versus 62%), having had their blood cholesterol checked during the preceding year (68% versus 39%), and trying to lose weight (41% versus 32%). However, of persons who reported trying to lose weight, those with diabetes were less likely to report using exercise, either alone or in conjunction with diet, than persons without diabetes (45% versus 71%). Differences in the prevalence of preventive health behaviors persisted after controlling for age and sex: routine examination (OR=2.6; 95% CI=1.8-3.8), blood cholesterol check (OR=2.0; 95% CI=1.5-2.5), trying to lose weight (OR=1.5; 95% CI=1.1-2.1). Reported by: B Larsen, MPH, M Friedrichs, MS, Diabetes Control Program, R Giles, Bur of Health Promotion, Div of Community and Family Health Svcs; Bur of Surveillance and Analysis, Office of Public Health Data, Utah Dept of Health. Epidemiology and Statistics Br, Div of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, CDC. Editorial NoteEditorial Note: In Utah, characteristics of persons with and without diabetes are similar to national patterns: among persons with diabetes, higher proportions are older, have lower incomes, and are less educated (4). Based on these patterns, UDCP is collaborating with the state Medicare program to address the need for providers caring for patients with diabetes to receive reimbursement for outpatient education and nutrition counseling, and to ensure access to diabetes education and counseling for Medicaid recipients. In addition, UDCP is adapting current diabetes educational materials for selected groups, including persons who attained low education levels. Although the prevalences of major CVD risk factors in the adult population of Utah were lower than national prevalences (5,6), the BRFSS findings documented substantially higher prevalences among persons with diabetes. Based on these findings, UDCP will initiate efforts to increase patient and community awareness about CVD risk factors by 1) educating community members through outreach activities; 2) training local health department staff to emphasize the importance of diabetes education and the reduction of CVD risk factors (e.g., smoking and sedentary lifestyle); and 3) implementing a statewide media campaign with the Utah Diabetes Awareness Partnership about CVD risk factors. The BRFSS findings also will be used to increase awareness and improve care practices among health-care providers through 1) professional education seminars for primary-care physicians in rural areas, geriatric nurses working in home health, and mid-level practitioners; 2) development of office reminder systems to improve the quality of care in the primary-care setting, and 3) collaboration with the state Medicaid program to develop statewide standards of care for persons with diabetes. Beginning in 1994, CDC-funded cooperative agreements facilitated the restructuring of state diabetes-control programs to emphasize quality of care and monitoring of behavioral risk factors and preventive health practices (7). Based on the findings in this report, the Utah Department of Health will emphasize development of strategies to increase awareness about CVD risk factors and related preventive health behaviors and to improve medical care for persons with diabetes. In 1994, UDCP expanded surveillance efforts to include the use of the new BRFSS diabetes module recently developed by CDC to collect additional information from persons with diabetes about diabetes education, glycemic control, the frequency of screening for diabetic complications, and impaired visual acuity. These data are not available from other state-specific data sources and will enable the UDCP to evaluate the impact of efforts to improve the health status of persons with diabetes. References
* Persons who smoked at least 100 cigarettes during their lifetime and who reported smoking at the time of the interview. ** Body mass index (kg/m2) greater than or equal to 27.8 for men and greater than or equal to 27.3 for women. *** Fewer than three 20-minute sessions of leisure-time physical activity per week. Table_1 Note: To print large tables and graphs users may have to change their printer settings to landscape and use a small font size. TABLE 1. Percentage distribution of selected characteristics among persons with and without diabetes -- Behavioral Risk Factor Surveillance System, Utah, 1988-1993 * ================================================================================================== With diabetes Without diabetes ---------------------------- ---------------------------- Sample Sample size size Characteristic & (n=405) % (95% CI +) (n=9983) % (95% CI) ------------------------------------------------------------------------------------- Age group (yrs) 18-24 13 6.5 ( 2.8%-10.2%) 1415 24.1 (22.9%-25.3%) 25-34 34 9.1 ( 5.7%-12.5%) 2642 26.8 (25.8%-27.8%) 35-44 43 9.3 ( 6.1%-12.4%) 2206 15.6 (14.9%-16.3%) 45-54 54 14.8 (10.8%-18.7%) 1260 12.2 (11.5%-12.9%) 55-64 78 22.7 (17.9%-27.5%) 976 10.3 ( 9.6%-11.0%) >=65 182 37.6 (32.4%-42.8%) 1466 11.0 (10.4%-11.6%) Sex Men 133 41.7 (36.0%-47.3%) 4281 49.0 (47.8%-50.1%) Women 272 58.3 (52.7%-64.0%) 5702 51.0 (50.0%-52.2%) Education Less than high school diploma 67 14.4 (10.7%-18.0%) 790 8.1 ( 7.5%- 8.7%) High school graduate 147 37.8 (32.4%-43.1%) 3183 32.4 (31.3%-33.5%) Some college 140 35.2 (29.8%-40.6%) 3634 37.6 (36.5%-38.7%) College 49 12.7 ( 9.0%-16.3%) 2357 21.9 (21.0%-22.8%) Employment Employed 136 37.5 (31.9%-43.1%) 6221 63.3 (62.1%-64.5%) Unemployed 20 5.5 ( 2.6%- 8.5%) 342 3.7 ( 3.2%- 4.1%) Homemaker 47 11.5 ( 8.3%-15.2%) 1299 12.2 (11.6%-12.9%) Student 8 3.0 ( 0.1%- 5.8%) 507 8.0 ( 7.1%- 8.9%) Retired 193 42.2 (36.8%-47.6%) 1603 12.8 (12.1%-13.5%) Annual household income <$20,000 206 52.6 (46.7%-58.6%) 3161 35.7 (34.5%-36.9%) $20,000-$34,999 79 25.7 (20.4%-30.9%) 3043 35.1 (33.9%-36.3%) >=$35,000 72 21.7 (16.8%-26.6%) 2430 29.2 (28.0%-30.3%) ------------------------------------------------------------------------------------- * Weighted data. Unweighted sample size=10,388. & In this analysis, data for each characteristic are included only for persons for whom the data were available; excluded data were either unknown or refused. + Confidence interval. ================================================================================================== Return to top. Table_2 Note: To print large tables and graphs users may have to change their printer settings to landscape and use a small font size. TABLE 2. Prevalence of cardiovascular disease (CVD) risk factors and related preventive health practices among persons with and without diabetes -- Behavioral Risk Factor Surveillance System, Utah, 1988-1993 * =============================================================================================== With diabetes Without diabetes ------------------------------- -------------------------------- Sample size Sample size Category + (n=405) % (95% CI &) (n=9983) % (95% CI) --------------------------------------------------------------------------------------------- CVD RISK FACTORS Hypertension @ 212 50.4 (44.9%-56.0%) 1996 17.6 (16.8%-18.4%) Cigarette smoking Current smoker ** 42 11.3 ( 7.6%-15.0%) 1591 15.6 (14.7%-16.4%) Former smoker ++ 108 27.7 (22.6%-32.8%) 1658 15.7 (15.0%-16.5%) Nonsmoker 254 60.9 (55.5%-66.4%) 6684 68.5 (67.4%-69.6%) Obesity && Men 51 38.5 (29.1%-47.9%) 858 19.2 (17.9%-20.4%) Women 109 42.7 (35.9%-49.4%) 1039 17.5 (16.3%-18.6%) Sedentary lifestyle @@ Men 35 26.6 (17.1%-34.0%) 733 20.0 (18.5%-21.4%) Women 79 35.0 (28.1%-41.8%) 1095 22.7 (21.4%-24.1%) PREVENTIVE HEALTH PRACTICES Weight control Not trying to lose weight 159 59.1 (58.5%-68.4%) 4341 66.9 (65.6%-68.2%) Yes, trying to lose weight 102 41.5 (34.6%-48.4%) 2045 33.1 (32.4%-34.4%) Diet only 56 54.9 (50.2%-62.9%) 602 29.4 (24.3%-25.1%) Exercise only 5 4.9 ( 2.9%- 6.9%) 315 15.4 (13.2%-17.1%) Diet and exercise 41 40.2 (36.4%-42.3%) 1128 55.2 (53.8%-57.9%) Routine examination During preceding year 361 85.5 (80.9%-90.1%) 6320 62.3 (61.2%-63.4%) 1-5 years ago 32 10.0 ( 6.2%-13.9%) 2397 15.4 (13.2%-17.1%) >5 years ago 9 3.6 ( 1.0%- 6.2%) 1027 10.3 ( 9.0%-10.4%) Never 3 0.9 ( 0 - 1.8%) 198 2.3 ( 1.8%- 2.6%) Cholesterol checked *** During preceding year 282 68.1 (62.5%-73.6%) 4138 39.0 (37.8%-40.1%) >1 year ago 46 11.8 ( 8.3%-15.3%) 1558 14.9 (14.2%-15.7%) Not checked 71 20.2 (15.0%-25.3%) 4083 46.1 (44.9%-47.3%) --------------------------------------------------------------------------------------------- * Weighted data. Unweighted sample size=10,388. + In this analysis, data for each characteristic age included only for persons for whom the data were available; excluded data were either unknown or refused. & Confidence interval. @ Among persons ever told by a health-care professional that they have high blood pressure. ** Persons who smoked at least 100 cigarettes during their lifetime and who reported smoking at the time of the interview. ++ Persons who smoked at least 100 cigarettes during their lifetime and who reported not smoking at the time of the interview. && Body mass index (kg/m2) >=27.8 for men and >=27.3 for women. @@ Fewer than three 20-minute sessions of leisure-time physical activity per week. *** Not asked in 1993. =============================================================================================== Return to top. Disclaimer All MMWR HTML versions of articles are electronic conversions from ASCII text into HTML. This conversion may have resulted in character translation or format errors in the HTML version. Users should not rely on this HTML document, but are referred to the electronic PDF version and/or the original MMWR paper copy for the official text, figures, and tables. An original paper copy of this issue can be obtained from the Superintendent of Documents, U.S. Government Printing Office (GPO), Washington, DC 20402-9371; telephone: (202) 512-1800. Contact GPO for current prices. **Questions or messages regarding errors in formatting should be addressed to mmwrq@cdc.gov.Page converted: 09/19/98 |
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