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      Obesity and Mammography: A Systematic Review and Meta-Analysis

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      , MD, MHS 1 , 2 , , , MD, MPH 1 , , MD, MHS 1 , 2 , 3 , , MD, MPH 1 , 2 , 3
      Journal of General Internal Medicine
      Springer-Verlag
      obesity, mammography, screening, systematic review

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          Abstract

          BACKGROUND

          Obese women experience higher postmenopausal breast cancer risk, morbidity, and mortality and may be less likely to undergo mammography.

          OBJECTIVES

          To quantify the relationship between body weight and mammography in white and black women.

          DATA SOURCES AND REVIEW METHODS

          We identified original articles evaluating the relationship between weight and mammography in the United States through electronic and manual searching using terms for breast cancer screening, breast cancer, and body weight. We excluded studies in special populations (e.g., HIV-positive patients) or not written in English. Citations and abstracts were reviewed independently. We abstracted data sequentially and quality information independently.

          RESULTS

          Of 5,047 citations, we included 17 studies in our systematic review. Sixteen studies used self-reported body mass index (BMI) and excluded women <40 years of age. Using random-effects models for the six nationally representative studies using standard BMI categories, the combined odds ratios (95% CI) for mammography in the past 2 years were 1.01 (0.95 to 1.08), 0.93 (0.83 to 1.05), 0.90 (0.78 to 1.04), and 0.79 (0.68 to 0.92) for overweight (25–29.9 kg/m 2), class I (30–34.9 kg/m 2), class II (35–39.9 kg/m 2), and class III (≥40 kg/m 2) obese women, respectively, compared to normal-weight women. Results were consistent when all available studies were included. The inverse association was found in white, but not black, women in the three studies with results stratified by race.

          CONCLUSIONS

          Morbidly obese women are significantly less likely to report recent mammography. This relationship appears stronger in white women. Lower screening rates may partly explain the higher breast cancer mortality in morbidly obese women.

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          Most cited references60

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          Primary Care: Is There Enough Time for Prevention?

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            Pooled analysis of prospective cohort studies on height, weight, and breast cancer risk.

            The association between anthropometric indices and the risk of breast cancer was analyzed using pooled data from seven prospective cohort studies. Together, these cohorts comprise 337,819 women and 4,385 incident invasive breast cancer cases. In multivariate analyses controlling for reproductive, dietary, and other risk factors, the pooled relative risk (RR) of breast cancer per height increment of 5 cm was 1.02 (95% confidence interval (CI): 0.96, 1.10) in premenopausal women and 1.07 (95% CI: 1.03, 1.12) in postmenopausal women. Body mass index (BMI) showed significant inverse and positive associations with breast cancer among pre- and postmenopausal women, respectively; these associations were nonlinear. Compared with premenopausal women with a BMI of less than 21 kg/m2, women with a BMI exceeding 31 kg/m2 had an RR of 0.54 (95% CI: 0.34, 0.85). In postmenopausal women, the RRs did not increase further when BMI exceeded 28 kg/m2; the RR for these women was 1.26 (95% CI: 1.09, 1.46). The authors found little evidence for interaction with other breast cancer risk factors. Their data indicate that height is an independent risk factor for postmenopausal breast cancer; in premenopausal women, this relation is less clear. The association between BMI and breast cancer varies by menopausal status. Weight control may reduce the risk among postmenopausal women.
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              Is there time for management of patients with chronic diseases in primary care?

              Despite the availability of national practice guidelines, many patients fail to receive recommended chronic disease care. Physician time constraints in primary care are likely one cause. We applied guideline recommendations for 10 common chronic diseases to a panel of 2,500 primary care patients with an age-sex distribution and chronic disease prevalences similar to those of the general population, and estimated the minimum physician time required to deliver high-quality care for these conditions. The result was compared with time available for patient care for the average primary care physician. Eight hundred twenty-eight hours per year, or 3.5 hours a day, were required to provide care for the top 10 chronic diseases, provided the disease is stable and in good control. We recalculated this estimate based on increased time requirements for uncontrolled disease. Estimated time required increased by a factor of 3. Applying this factor to all 10 diseases, time demands increased to 2,484 hours, or 10.6 hours a day. Current practice guidelines for only 10 chronic illnesses require more time than primary care physicians have available for patient care overall. Streamlined guidelines and alternative methods of service delivery are needed to meet recommended standards for quality health care.
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                Author and article information

                Contributors
                +1-410-502-8896 , +1-410-955-0476 , maruthur@jhmi.edu
                Journal
                J Gen Intern Med
                Journal of General Internal Medicine
                Springer-Verlag (New York )
                0884-8734
                1525-1497
                11 March 2009
                May 2009
                : 24
                : 5
                : 665-677
                Affiliations
                [1 ]Division of General Internal Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD USA
                [2 ]Welch Center for Prevention, Epidemiology, and Clinical Research, The Johns Hopkins University School of Medicine, Baltimore, MD USA
                [3 ]Department of Epidemiology, The Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD USA
                Article
                939
                10.1007/s11606-009-0939-3
                2669867
                19277790
                d4f140f7-6b84-44ac-98ca-ecfa52c3afe6
                © Society of General Internal Medicine 2009
                History
                : 9 November 2007
                : 28 August 2008
                : 16 January 2009
                Categories
                Clinical Review
                Custom metadata
                © Society of General Internal Medicine 2009

                Internal medicine
                screening,obesity,mammography,systematic review
                Internal medicine
                screening, obesity, mammography, systematic review

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