Contributions of public health to patient compliance

This paper discusses the contributions of public health to compliance in five areas: clinical trials, smoking cessation, dietary compliance, breast cancer screening and hypertension control. Public health programs have been based on a number of theoretical foundations, most notably, social learning theory and the health belief model. Social marketing, community organization, and, more recently, consumer information processing models also are important. The strongest public health programs embody an ecological approach, with interventions directed not only at individuals, but also at groups, communities and changing institutional norms. Among the most important contributions of public health interventions are: multiple levels of intervention and evaluation, tailoring to target audiences, use of social support and community organization for behavior change. Together, community health and clinical compliance-enhancing strategies can exert a synergistic impact on health behavior change.Barbara K. Rimer is Director, Cancer Control Research, Duke Comprehensive Cancer Center, Box 2949, Duke Univ. Medical Center, Durham, NC 27710; Karen Glanz, Ph.D. is Professor at Temple University, Philadelphia, PA 19122; Caryn Lerman, Ph.D. is Associate Member, Fox Chase Cancer Center, 510 Township Line Road, Cheltenham, PA 19012.Grant support was provided by National Cancer Institute Public Health Service Grant CA34658 and institutional grants awarded to Fox Chase Cancer Center NIH (CA06927 and RR05895) and an appropriation from the Commonwealth of Pennsylvania.Word processing was provided by Lisa Salerno and Kathy Smith.     

Searching for evidence about health education and health behavior interventions.

Evidence is fundamental to science, but finding the right evidence in health education and health behavior (HEHB) is often a challenge. The authors discuss some of the controversies about the types of evidence that should be considered acceptable in HEHB, the tension between the use of qualitative versus quantitative data, the need for measures of important but neglected constructs, and interpretation of data from experimental and nonexperimental research. This article discusses some of the challenges to the use of evidence and describes a number of strategies and some forces encouraging the use of evidence-based interventions. Finally, the authors suggest ways to improve the practice and dissemination of evidence-based HEHB. Ultimately, if evidence-based interventions are not disseminated, the interventions will not achieve their potential. The goal should be to develop more effective interventions and disseminate them to improve the public's health.     

Urinary N-acetyl-beta -D-glucosaminidase and its isoenzymes A & B in workers exposed to cadmium at cadmium plating

Objective  

The present study was carried out to determine the effect of cadmium exposure on Urinary N-acetyl-beta -D-glucosaminidase and its isoenzymes A and B in workers exposed at cadmium plating.     

Factors associated with men's use of prostate-specific antigen screening: evidence from Health Information National Trends Survey

BACKGROUND: Rapid uptake of prostate-specific antigen (PSA) testing has occurred in the United States despite inconclusive evidence regarding mortality benefit. METHODS: We examined data (n=927) from the 2003 Health Information National Trends Survey to assess prevalence of self-reported PSA use and its association with patients' decision making. RESULTS: Over half (55.2%) the sample reported ever having had a PSA test. Men aged 65-74 (OR=2.53, 1.49-4.31), with some college (OR=2.41, 1.22-4.77) or college degrees (OR=5.01, 2.53-9.90) were more likely to have had PSA tests, while men without health insurance (OR=0.32, 0.12-0.88) or a usual source of care (OR=0.35, 0.22-0.54) were less likely. In a model including healthcare provider communication and information seeking, men who reported that providers involved them in decisions (OR=1.76, 1.02-3.03) and recommended PSA (OR=236.3, 70.5-791.4) were more likely to have had the tests. Men aged 65-74 (OR=2.30, 1.33-4.00), with college degrees (OR=2.91, 1.45-5.82), and greater information attention/seeking (OR=1.23, 1.07-1.40) were more likely to report PSA recommendations, while those without usual care were less likely (OR=0.37, 0.22-0.64). Men without usual care (OR=0.38, 0.20-0.71) and Hispanic men (OR=0.40, 0.19-0.85) were less likely to report that healthcare providers involved them in healthcare decisions. CONCLUSIONS: Results emphasize the relevance of patient decision making and the importance of healthcare providers in PSA testing.     

Overestimation of hereditary breast cancer risk.

OBJECTIVE: To find out how women with breast or ovarian cancer rate their chances of carrying hereditary factors for these cancers and to determine the extent to which they overestimate their risk. SUMMARY BACKGROUND DATA: BRCA1 and BRCA2 are genes that cause breast and ovarian cancer when they are inherited in families. Testing for disease-associated mutations in these genes is now available commercially. Previous studies have shown that women overestimate their chances of carrying mutations. However, women's perceptions of risk have not been compared to objective estimates or to actual BRCA1 and BRCA2 testing results. METHODS: This study examines estimates of carrying BRCA1 and BRCA2 mutations among women participating in a randomized trial comparing alternative precounseling educational materials. Estimates were provided by participants in a baseline mailed survey. Estimates given by participants were compared to those given by an expert panel and by a statistical model. Testing was offered free of charge and was done in an academic laboratory using standard techniques. Baseline estimates of participating women were compared to the estimates of the expert panel, to the carrier probability provided by the statistical model, and to actual testing results. RESULTS: Women who have a personal history of breast or ovarian cancer significantly overestimate their risk of carrying hereditary factors for breast and ovarian cancer. Self-estimates exceeded the estimates of experts and a statistical model. One hundred women completed testing, and 21 mutations in BRCA1 or BRCA2 were found. Many test-negative women also overestimated their hereditary risk. Some women with a high carrier probability were negative for BRCA1 and BRCA2 mutations. CONCLUSIONS: Overestimation of hereditary factors is common among affected women with a family history of cancer. Pretest education and counseling should reduce these high-risk perceptions. Better estimates of carrier probability will direct more intensive clinical services and research.     

Changes in weight, body composition, and factors influencing energy balance among premenopausal breast cancer patients receiving adjuvant chemotherapy.

PURPOSE: Weight gain is a common problem among breast cancer patients who receive adjuvant chemotherapy (CT). We undertook a study to determine the causes of this energy imbalance. PATIENTS AND METHODS: Factors related to energy balance were assessed at baseline (within 3 weeks of diagnosis) and throughout 1 year postdiagnosis among 53 premenopausal women with operable breast carcinoma. Thirty-six patients received CT and 17 received only localized treatment (LT). Measures included body composition (dual energy x-ray absorptiometry), resting energy expenditure (REE; indirect calorimetry), dietary intake (2-day dietary recalls and food frequency questionnaires) and physical activity (physical activity records). RESULTS: Mean weight gain in the LT patients was 1.0 kg versus 2.1 kg in the CT group (P =.02). No significant differences between groups in trend over time were observed for REE and energy intake; however, a significant difference was noted for physical activity (P =.01). Several differences between groups in 1-year change scores were detected. The mean change (+/- SE) in LT versus CT groups and P values for uncontrolled/controlled (age, race, radiation therapy, baseline body mass index, and end point under consideration) analysis are as follows: percentage of body fat (-0.1 +/- 0.4 v +2.2 +/- 0.6%; P =.001/0.04); fat mass (+0.1 +/- 0.3 v +2.3 +/- 0.7 kg; P =.002/0.04); lean body mass (+0.8 +/- 0.2 v -0.4 +/- 0.3 kg; P =.02/0.30); and leg lean mass (+0.5 +/- 0.1 v -0.2 +/- 0.1 kg; P =.01/0.11). CONCLUSION: These data do not support overeating as a cause of weight gain among breast cancer patients who receive CT. The data suggest, however, that CT-induced weight gain is distinctive and indicative of sarcopenic obesity (weight gain in the presence of lean tissue loss or absence of lean tissue gain). The development of sarcopenic obesity with evidence of reduced physical activity supports the need for interventions focused on exercise, especially resistance training in the lower body, to prevent weight gain.