Clinical applications of computer-assisted renography.
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Biomedical subjects
Publications and source records attributed to R H Secker-Walker.
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BACKGROUND: Adolescents at risk for cigarette smoking are difficult to reach with conventional interventions but have substantial exposure to the mass media. This study is the first to show that smoking prevention messages presented through the mass media can have large and durable effects on higher risk adolescents. METHODS: Students in two communities received media and school interventions beginning in grades 5-7; those in matched comparison communities received school interventions. Media interventions were targeted to higher risk youths. School surveys were conducted before and after the interventions, in grades 4-6 and grades 8-10. Two years after interventions ended, when participants were in grades 10-12, school and telephone surveys were conducted to assess smoking status. Survey participants (n = 2,860) were classified at baseline as having higher or lower risk for becoming a smoker. RESULTS: Smoking prevalence within the higher risk sample was significantly lower for those receiving media-school interventions than for those receiving school interventions only (odds ratio = 0.71). Effects on the lower risk sample were similar in magnitude but marginally significant. CONCLUSIONS: Mass media and school interventions achieved lower smoking rates among higher risk youngsters 2 years following completion of the interventions. This strategy represents a uniquely effective method for communicating with a high-priority group.
BACKGROUND: Physicians' advice to help pregnant women quit smoking during prenatal care has had mixed results. Training and prompting physicians to provide consistent advice and referral to on-site support might improve cessation rates. METHODS: Pregnant women who smoked were randomly assigned to receive structured advice from their physician and referral to individual behavior change counseling during prenatal care or to receive brief advice to stop smoking and a quit smoking booklet at their first visit. Smoking status was measured by self-report, exhaled carbon monoxide, and urinary cotinine. RESULTS: Compared with usual care, greater proportions of intervention group women reported not smoking at the 36th-week visit (14% vs 10%) and at 1 year postpartum (18% vs 11%), but these differences were not significant. However, significantly greater proportions of intervention group women reported either not smoking or reducing their cigarette consumption by 50% or more at their second visit (43% vs 29%, P = 0.02), at their 36th-week visit (40% vs 25%, P < 0.01), and at 1 year postpartum (26% vs 14%, P = 0.02). CONCLUSIONS: Physician training on how to gain a pregnant smoker's commitment to change her smoking behavior, an office prompt system, and individualized smoking behavior change counseling show promise in reducing smoking during pregnancy and postpartum, but practical methods to assist pregnant smokers between regular prenatal visits, as they attempt to quit, need to be developed.
We examined the relationships among self-reported cigarette consumption, exhaled carbon monoxide, and urinary cotinine/creatinine ratio in pregnant women. Information on these measures of smoking was collected at first and 36th week prenatal visits. Correlations between cigarette consumption and exhaled carbon monoxide were .65 at the first visit and .70 at the 36th-week visit. For urinary cotinine/creatinine ratio, the correlations were .61 and .65, respectively, at these visits. Correlations with change in cigarette consumption between the two visits were .37 for change in carbon monoxide and .33 for change in urinary cotinine/creatinine ratio. Urinary cotinine/creatinine ratio had slightly higher overall agreement with self-reported smoking status and was less likely to misclassify smokers than carbon monoxide. We conclude that urinary cotinine/creatinine ratio is the more accurate measure for validating smoking status among pregnant women, but exhaled carbon monoxide is the better measure of cigarette consumption and of changes in consumption.
BACKGROUND: Life expectancy gain (LEG) is an outcome measure commonly estimated with a declining exponential function in a Markov model. The accuracy of such estimates has not been objectively evaluated. PURPOSE: To compare LEGs from declining exponential function estimates with those calculated from population data, using published screening mammography studies as examples. METHOD: SEER-based population data are used to compare LEG calculation with declining exponential function estimation and empiric population data in a new model, the "nested" Markov. RESULTS: Analyses of the LEG of mammographic screening based on the declining exponential function significantly overestimate LEGs for younger women and underestimate them for older women. Because of offsetting errors, all-age analyses paradoxically appear accurate. CONCLUSION: Declining exponential function estimates of LEGs for chronic diseases with low mortality rates and long time horizons are liable to significant bias, especially with limited age cohorts.
PURPOSE: Cigarette smoking control strategies of firms with small work forces were assessed and compared with those of larger firms. DESIGN: A cross-sectional telephone survey was conducted in 1990 among private employers systematically selected from a proprietary database. SETTING: These firms were located in four counties of two northeastern states. SUBJECTS: Interviews were conducted with managers of 470 small (< or = 25 employees; n = 262), medium (26-50; n = 87), and larger (> 50; n = 121) firms. MEASURES: Interviews assessed characteristics of the firms and their cigarette smoking policies and cessation programs. RESULTS: Small firms differed from larger firms in several areas. They were less likely to have written policies, used fewer methods to communicate their policies, and their policies were consistently less restrictive. Small firms also offered less assistance to employees who wished to quit. CONCLUSIONS: The less restrictive smoking policies reported here may be relatively ineffective in protecting nonsmokers in small firms. Small firms may encounter difficulties introducing more restrictive smoking policies because of the relative closeness of employee relations, smaller work spaces, and inability to deliver smoking cessation services to employees. Methods should be developed to assist managers of smaller firms to implement stronger smoking policies and to devise ways of making cessation assistance more easily available to their employees.
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The purpose of this study was to describe and compare the rates of recruitment during a randomized clinical trial on smoking cessation in two primary care practices. One site was a five-physician private family practice setting with about 15,000 patients. During 34 days, 576 patients were screened, of whom 22% were smokers. Among the smokers screened, 54% consented, 33% refused consent, and 13% were called in too early to consent. The other site was a six-physician academic medical practice with about 16,000 patients. During 53 days, 1,692 subjects were screened, of whom 16.2% were smokers. Among the smokers, 19% consented, 81% refused consent, and none were called in early. The enrollment of smokers was 3.3 times greater in the private practice than the academic practice. At the first site, study personnel screened 26.6 subjects per day, whereas the practice receptionist screened only 13.4 subjects per day (P less than .01). A randomized trial of having subjects read the informed consent versus having study personnel read it to them showed no differences in recruitment. The data suggest that private practices may have greater potential for subject recruitment than academic sites, that using study personnel improves recruitment, and that having study personnel actively involved in informed consent does not improve recruitment.
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Our objective was to examine the efficacy of the added effect of individualized smoking relapse prevention counseling on obstetricians' and nurse midwives' usual advice during prenatal care. One hundred and seventy-five pregnant women who were smoking early in their pregnancy, but had quit by first prenatal visit, were randomly assigned to receive the usual advice from their obstetrician or nurse midwife, or usual advice plus individual relapse prevention counseling. Smoking status was measured by self-report, by urinary cotinine/creatinine ratio at the 36-week visit, and by self-report at long-term postpartum follow-up. We found that a smaller percentage of women in the intervention group (8.8%) reported smoking at the thirty-sixth-week visit than those in the usual care group (16.9%), a nonsignificant difference. No significant difference in relapse rates during pregnancy was observed based on urinary cotinine/creatinine ratios, but these rates, 29.5% and 27.9% respectively, were substantially higher than those based on self-report. The average number of days abstinent reported by women in the intervention group was significantly longer than that in the usual care group, 199 days versus 166 days respectively (P < .01). Logistic regression analysis indicated that longest time abstaining before first visit, level of belief in smoking's harm to the fetus, and motivation to smoke were independently related to the probability of relapsing to smoking by the 36-week visit. Long-term relapse rates were not significantly different: intervention group, 50.9%, usual care group, 50.0%.(ABSTRACT TRUNCATED AT 250 WORDS)
Urinary trans,trans-muconic acid, a ring-opened metabolite of benzene, was quantified in pregnant and nonpregnant smokers. The results of this study were compared with those reported previously in male smokers. The data clearly demonstrate that smoking increases the levels of trans,trans-muconic acid in urine. The mean levels of trans,trans-muconic acid in the urine of groups of male, female, and pregnant smokers were 3.6-, 4.8-, and 4.5-fold higher than those in the nonsmoking counterparts. Mean concentrations of trans,trans-muconic acid in groups of 42 men and 53 nonpregnant women were 0.22 +/- 0.03 (SE) and 0.24 +/- 0.02 mg/g creatinine, or 0.13 +/- 0.6 and 0.13 +/- 0.07 mg/mg cotinine, respectively. These data reveal that urinary trans,trans-muconic acid levels in female smokers are nearly the same as in male smokers. Mean levels of trans,trans-muconic acid in the urine of groups of 63 pregnant and 53 nonpregnant women were 0.27 +/- 0.04 and 0.24 +/- 0.02 mg/g creatinine, or 0.24 +/- 0.06 and 0.13 +/- 0.07 mg/mg cotinine, respectively. Mean concentrations of urinary cotinine in pregnant women were significantly lower than in the group of nonpregnant women (1.13 +/- 0.12 versus 1.82 +/- 0.14 mg/g creatinine). When levels of trans,trans-muconic acid were normalized against urinary cotinine, the mean concentration in urine of pregnant smokers was almost 2-fold greater than that in nonpregnant smokers. This could be due to an increased metabolism of benzene to urinary trans,trans-muconic acid during pregnancy.(ABSTRACT TRUNCATED AT 250 WORDS)
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INTRODUCTION: Our objectives were (1) to examine the relationship between women's intention of stopping smoking in the next month and a broad range of mediating variables and (2) to assess the implications of these relationships for intervention components of a comprehensive community-wide health education program to help women quit smoking. METHODS: In preparation for the community-wide program to help women quit smoking, baseline data were collected through a random digit dialing telephone survey of 6,324 adult women, 18-64 years of age. RESULTS: At baseline, smoking prevalence, defined as smoking an average of one or more cigarettes per day, was 25.8% and showed clear relationships with age and income, but most strikingly with education, indicating the need for programs for women of childbearing age with low incomes and fewer years of schooling. Among female smokers, knowledge of the health effects of smoking; motivations toward quitting; confidence in controlling weight, or handling stress, anger or boredom; number of strategies named to cope when upset of angry; number of community smoking cessation resources named; perceptions of support for quitting; and perceptions of norms concerning women smoking varied significantly with level of intention to quit smoking in the next month. CONCLUSIONS: These relationships provided support for the broad range of health behavior change strategies proposed for this community-based program to help women quit smoking.
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