Attitudes of Olmsted County, Minnesota, residents about tobacco smoke in restaurants and bars.

OBJECTIVE: To determine the attitudes of Olmsted County, Minnesota, adults about environmental tobacco smoke in restaurants, bars, and nightclubs. SUBJECTS AND METHODS: In this population survey,2014 adults were contacted by random digit dial methods between February 28 and May 5, 2000, and asked to participate in a telephone survey; 1224 (61%) consented. RESULTS: For the 57% (95% confidence interval [CI], 54%-60%) of the study population that reported exposure to environmental tobacco smoke, the most frequently reported sites of exposure were restaurants (44% [95% CI, 41%-48%]), work (21% [95% CI, 18%-24%]), and bars (19% [95% CI, 16%-22%]). Seventy-two percent (95% CI, 69%-74%) of respondents said that they would select a smoke-free restaurant over one where smoking is permitted, and 70% (95% CI, 67%-72%) said that they would select a smoke-free bar over one where smoking is permitted. The majority of respondents said that they would not dine out or visit bars or nightclubs more often or less often if all restaurants, bars, and nightclubs were smoke-free. CONCLUSIONS: Olmsted County residents prefer smoke-free restaurants, bars, and nightclubs.

The ability of a computer program based on the Marquette Matrix-12 short measurement matrix to replicate coding by the Minnesota ECG coding laboratory.

The study was undertaken to determine whether a computer program that uses "short measurement matrix" data from the Marquette Matrix-12 system can replicate Minnesota electrocardiogram (ECG) coding laboratory interpretations. An agreement was found between coding of median complex ECGs at the Minnesota ECG coding laboratory and coding based on Marquette Matrix-12 short measurement matrix. The comparison was based on 763 ECGs plus chest pain history and serum enzyme values for a stratified random sample of 141 patients hospitalized in 1990 or 1991 for an event coded as HICDA 410.x (acute myocardial infarction), 411 (other acute and subacute forms of ischemic heart disease), 413 (angina pectoris), or 796.9 (other ill defined and unknown causes of morbidity and mortality). The population was reconstructed from the stratified random sample to enable population-based inferences. Exact agreement between Matrix-12 and Minnesota coding laboratory interpretation on 4 ECG patterns (evolving diagnostic, diagnostic, equivocal, or other ECG pattern) was 74.5% (Kappa = 0.63 +/- 0.05) for the stratified random sample and 78.8% (Kappa = 0.66 +/- 0.05) for the reconstructed population. For coding myocardial infarction based on the ECG, serum enzyme levels, and ischemic chest pain, agreement was 91.5% (Kappa = 0.85 +/- 0.04) for the stratified random sample and 90% (Kappa = 0.83 +/- 0.04) for the reconstructed population. Although ECG interpretation by a computer program based on the short measurement matrix of the Matrix 12 system results in better agreement than prior attempts to replicate the Minnesota coding laboratory, interpretation remains unacceptably discordant.

The CardioVision 2020 baseline community report card.

OBJECTIVE: To establish baseline data for the CardioVision 2020 program, a collaborative project in Olmsted County, Minnesota, organized to reduce cardiovascular disease rates by altering 5 health-related items: (1) eliminating tobacco use and exposure, (2) improving nutrition, (3) increasing physical activity, (4) lowering serum cholesterol level, and (5) controlling blood pressure. SUBJECTS AND METHODS: Data about tobacco use, diet, and physical activity were collected by random digit dial interview and follow-up questionnaire from a sample of the population. Blood pressure data were collected from medical records at Mayo Clinic, and serum cholesterol data were derived from the Mayo Clinic laboratory database. Data were stratified into 6 age groups. RESULTS: A total of 624 women and 608 men responded to the questionnaire. Population blood pressure data were available for 1,956 women and 1,084 men. Population serum cholesterol data were available for 17,042 women and 12,511 men. Except for women in the 30- to 39-year-old age group, less than 10% of the population sampled met 4 or 5 goals. Conversely, about 90% of the population met at least 1 goal, and about 80% met 1, 2, or 3 of the goals. CONCLUSION: The data from the Olmsted County population indicate considerable opportunity to reduce this population's burden of cardiovascular disease.

The Eating Pattern Assessment Tool: a simple instrument for assessing dietary fat and cholesterol intake.

OBJECTIVE: This study describes the development of the self-administered Eating Pattern Assessment Tool (EPAT), which is designed to assess dietary fat and cholesterol intake and aid patients and health professionals in achieving control of blood cholesterol levels. DESIGN: Test-retest reliability of the instrument over five visits and concurrent validity testing compared with 4-day food records. SETTING AND SAMPLE: The instrument was tested at multiple sites of a large manufacturing corporation using 436 adult volunteers with approximately equal proportions of men and women from three socioeconomic levels. MAIN OUTCOME MEASURE: Development of the EPAT centered on creating an instrument that was simple and easy to use in a primary-care setting, that would provide a reliable assessment of intake of dietary fat and cholesterol among adults, and that would measure frequency of consumption of foods from high-fat and low-fat categories. ANALYSES: Test-retest reliability for repeated use was estimated by between-visit Pearson product-moment correlations of EPAT section scores. Concurrent validity was assessed by using product-moment correlation between EPAT section scores and mean daily B-scores obtained from 4-day food records. RESULTS: Test-retest reliability estimates were 0.91 between all adjacent pairs of visits and 0.83 between visits 1 and 5 (4 months). Validity was 0.56. APPLICATIONS/CONCLUSIONS: The EPAT is a simple, quick, self-administered tool using an easy scoring method for accurately assessing fat and cholesterol intake. It is a reliable and valid substitute for more time-consuming food records. EPAT also provides an efficient way to monitor eating patterns of patients over time and is arranged to provide an educational message that reinforces the consumption of recommended types and numbers of servings of low-fat foods.

A controlled trial to integrate smoking cessation advice into primary care practice: Doctors Helping Smokers, Round III.

BACKGROUND: Although most physicians believe that smoking cessation assistance is important for their patients, the majority of smokers report that they have not received smoking cessation advice from a physician. We therefore tested whether on-site recruitment, training, and organizational assistance in incorporating a smoking intervention system of documented efficacy into nonvolunteer primary care practices would result in higher rates of smoking cessation advice to patients. METHODS: This was a nonrandomized trial comparing all 10 primary care clinics in an intervention area to all 8 primary care clinics from a geographically separate control area. The evaluation was based on the smoking intervention activities of each of the clinics as reported on preintervention and postintervention mail surveys of cohorts of regular smokers seen in the clinics. RESULTS: Preintervention, 22.9% +/- 11.2% of the intervention clinic cohort and 21.9% +/- 9.6% (P = .84) of the control clinic cohort reported that they had been asked about tobacco during a clinic visit in the prior 6 months. Postintervention, the intervention clinic cohort was significantly more likely to report that someone had asked them if they smoked (39.8% +/- 12.3% vs 26.0% +/- 12.2%; P less than .05), that their physician asked them to quit if they were currently smoking (40.5% +/- 12.1% vs 26.4% +/- 14.6%; P less than .05), and that someone had commended them if they had recently quit smoking (28.2% +/- 19.8 vs 11.3% +/- 11.8%; P less than .05). CONCLUSIONS: The intervention significantly increased the rates at which a population of primary care clinics identified their patients who smoked, advised them to quit smoking, and commended those who had recently quit smoking.

Appropriate days for measuring intake of dietary fat and cholesterol.

Seven consecutive day food records were assessed in 224 free-living adult volunteers to (1) identify the smallest number of days, and which days of the week, would provide most of the information about dietary fat and cholesterol intake (assessed by B score) and (2) whether a complex mathematical formula for weighting certain days was required to achieve reasonable validity. A factor analytic approach was used to identify 3- and 4-day sets. The correlations with the 7-day average B score ranged from 0.95 for the best 4-day (Saturday through Tuesday) average B score to 0.91 for the best 3-day (Sunday through Tuesday) average B score. Simple averaging (no weighting) was found to be adequate to achieve this level of validity.

A comparison of two methods to recruit physicians to deliver smoking cessation interventions.

To address the problem of recruiting physicians to deliver smoking cessation interventions, Doctors Helping Smokers included a trial of physician recruitment strategies. In round 1 of Doctors Helping Smokers, three types of informational materials were mailed directly to 1110 family physicians. The physicians were asked to return a postcard if they were interested in participating in a 1-month trial of a smoking cessation intervention. Response did not differ among the three conditions; overall, 9.8% of physicians (95% confidence limits [CL], 8.0, 11.6) responded and 6.0% (95% CL, 4.6, 7.4) eventually participated in the intervention trial. The same procedure was repeated for round 2 of Doctors Helping Smokers with direct mailing to all general internists and cardiologists (n = 1108) on the mailing list of the Minnesota Medical Association. Five percent (95% CL, 3.7, 6.3) of the internists responded and 2.7% (95% CL, 1.7, 3.7) participated in the trial. Recruitment for round 3 made use of repeated face-to-face recruitment efforts at the physician's office through a managed-care organization that held contracts with the physician's clinic to provide care for its enrollees. Six months after the initiation of round 3, 59% (95% CL, 49%, 67%) of the 126 primary care physicians reported that they were giving their patients smoking cessation advice and completing the smoking intervention records. Eighteen months after the initiation of round 3, 56% (95% CL, 47%, 65%) of the 116 primary care physicians who remained in the practice reported continued activity in the project.