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LINK . SPRINGER . COM {}

  1. Analyzed Page
  2. Matching Content Categories
  3. CMS
  4. Monthly Traffic Estimate
  5. How Does Link.springer.com Make Money
  6. Keywords
  7. Topics
  8. Schema
  9. External Links
  10. Analytics And Tracking
  11. Libraries

We are analyzing https://link.springer.com/article/10.1007/s10552-011-9730-y.

Title:
Weight loss and postmenopausal breast cancer in a prospective cohort of overweight and obese US women | Cancer Causes & Control
Description:
Overweight and obesity are associated with increased postmenopausal breast cancer risk; however, it is unclear whether losing excess weight will lower risk. Therefore, we examined the relationship between weight loss and postmenopausal breast cancer among 13,055 overweight and obese, cancer-free women who enrolled in the Cancer Prevention Study-II (CPS-II) Nutrition Cohort in 1992. During the 15 year follow-up, 816 postmenopausal breast cancer cases were diagnosed. Self-reported weight was collected before diagnosis at baseline and 10 years prior to baseline. The median weight loss was 11 lbs, but only 58% of the women maintained this weight loss through the first 5 year follow-up interval (1992–1997). Using both restricted cubic splines and multivariate Cox proportional hazards modeling, we observed no association between weight loss and postmenopausal breast cancer. The hazard ratio for 30+ pounds of weight loss compared to stable weight was 0.95 (95%: CI 0.47–1.95). An inverse association was, however, suggested among women who maintained ten or more pounds of weight loss through the next interval. There was no evidence of effect modification by postmenopausal hormone use, initial BMI, or other factors examined. In summary, weight loss was not associated with postmenopausal breast cancer in this study. Future studies should focus on sustained weight loss and whether the timing of weight loss is important.
Website Age:
28 years and 1 months (reg. 1997-05-29).

Matching Content Categories {📚}

  • Health & Fitness
  • Fitness & Wellness
  • Insurance

Content Management System {📝}

What CMS is link.springer.com built with?

Custom-built

No common CMS systems were detected on Link.springer.com, and no known web development framework was identified.

Traffic Estimate {📈}

What is the average monthly size of link.springer.com audience?

🌠 Phenomenal Traffic: 5M - 10M visitors per month


Based on our best estimate, this website will receive around 5,000,019 visitors per month in the current month.
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How Does Link.springer.com Make Money? {💸}

We find it hard to spot revenue streams.

While profit motivates many websites, others exist to inspire, entertain, or provide valuable resources. Websites have a variety of goals. And this might be one of them. Link.springer.com could have a money-making trick up its sleeve, but it's undetectable for now.

Keywords {🔍}

cancer, weight, article, google, scholar, breast, pubmed, postmenopausal, risk, loss, women, cas, change, study, body, cohort, obese, epidemiol, prospective, association, privacy, cookies, content, research, control, teras, obesity, prevention, access, calle, size, data, publish, search, overweight, nutrition, effect, mass, int, usa, information, log, journal, lauren, goodman, patel, feigelson, followup, baseline, hormone,

Topics {✒️}

cancer prevention study-ii month download article/chapter american cancer society baanders-van halewijn ea late-onset breast cancer de pedro-alvarez ferrero van den hoogen asian-american women early-life physical activity long-term weight change state cancer registries obese post-menopausal women postmenopausal breast cancer full article pdf premenopausal breast cancer privacy choices/manage cookies breast cancer risk breast-cancer risk related subjects original framingham cohort netherlands cohort study prospective cohort study steroid hormone study national home office cancer-free women post-menopausal women article cancer gastric bypass surgery large prospective study european economic area restricted cubic splines randomized clinical trials controlled intervention trial miracle-mcmahill hl sas lgtphcurv8 macro cancer research losing excess weight median weight loss sustained weight loss european prospective investigation dietery weight loss weight loss compared weight loss maintenance conditions privacy policy hormone replacement therapy trentham-dietz lacey jv jr jr stat soc middle-aged women breast cancer

Schema {🗺️}

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         headline:Weight loss and postmenopausal breast cancer in a prospective cohort of overweight and obese US women
         description:Overweight and obesity are associated with increased postmenopausal breast cancer risk; however, it is unclear whether losing excess weight will lower risk. Therefore, we examined the relationship between weight loss and postmenopausal breast cancer among 13,055 overweight and obese, cancer-free women who enrolled in the Cancer Prevention Study-II (CPS-II) Nutrition Cohort in 1992. During the 15 year follow-up, 816 postmenopausal breast cancer cases were diagnosed. Self-reported weight was collected before diagnosis at baseline and 10 years prior to baseline. The median weight loss was 11 lbs, but only 58% of the women maintained this weight loss through the first 5 year follow-up interval (1992–1997). Using both restricted cubic splines and multivariate Cox proportional hazards modeling, we observed no association between weight loss and postmenopausal breast cancer. The hazard ratio for 30+ pounds of weight loss compared to stable weight was 0.95 (95%: CI 0.47–1.95). An inverse association was, however, suggested among women who maintained ten or more pounds of weight loss through the next interval. There was no evidence of effect modification by postmenopausal hormone use, initial BMI, or other factors examined. In summary, weight loss was not associated with postmenopausal breast cancer in this study. Future studies should focus on sustained weight loss and whether the timing of weight loss is important.
         datePublished:2011-02-13T00:00:00Z
         dateModified:2011-02-13T00:00:00Z
         pageStart:573
         pageEnd:579
         sameAs:https://doi.org/10.1007/s10552-011-9730-y
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            Obesity
            Weight loss
            Cohort
            Cancer Research
            Biomedicine
            general
            Oncology
            Public Health
            Epidemiology
            Hematology
         image:
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            name:Cancer Causes & Control
            issn:
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      headline:Weight loss and postmenopausal breast cancer in a prospective cohort of overweight and obese US women
      description:Overweight and obesity are associated with increased postmenopausal breast cancer risk; however, it is unclear whether losing excess weight will lower risk. Therefore, we examined the relationship between weight loss and postmenopausal breast cancer among 13,055 overweight and obese, cancer-free women who enrolled in the Cancer Prevention Study-II (CPS-II) Nutrition Cohort in 1992. During the 15 year follow-up, 816 postmenopausal breast cancer cases were diagnosed. Self-reported weight was collected before diagnosis at baseline and 10 years prior to baseline. The median weight loss was 11 lbs, but only 58% of the women maintained this weight loss through the first 5 year follow-up interval (1992–1997). Using both restricted cubic splines and multivariate Cox proportional hazards modeling, we observed no association between weight loss and postmenopausal breast cancer. The hazard ratio for 30+ pounds of weight loss compared to stable weight was 0.95 (95%: CI 0.47–1.95). An inverse association was, however, suggested among women who maintained ten or more pounds of weight loss through the next interval. There was no evidence of effect modification by postmenopausal hormone use, initial BMI, or other factors examined. In summary, weight loss was not associated with postmenopausal breast cancer in this study. Future studies should focus on sustained weight loss and whether the timing of weight loss is important.
      datePublished:2011-02-13T00:00:00Z
      dateModified:2011-02-13T00:00:00Z
      pageStart:573
      pageEnd:579
      sameAs:https://doi.org/10.1007/s10552-011-9730-y
      keywords:
         Breast cancer
         Obesity
         Weight loss
         Cohort
         Cancer Research
         Biomedicine
         general
         Oncology
         Public Health
         Epidemiology
         Hematology
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            Periodical
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                  name:Epidemiology Research Program, American Cancer Society
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                     type:PostalAddress
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                     name:Emory University, Atlanta, USA
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                     name:Emory University, Atlanta, USA
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         name:Emory University, Atlanta, USA
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         name:Epidemiology Research Program, American Cancer Society, Atlanta, USA
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         name:Epidemiology Research Program, American Cancer Society, Atlanta, USA
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            address:
               name:Emory University, Atlanta, USA
               type:PostalAddress
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      name:Alpa V. Patel
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            name:Epidemiology Research Program, American Cancer Society
            address:
               name:Epidemiology Research Program, American Cancer Society, Atlanta, USA
               type:PostalAddress
            type:Organization
      name:W. Ryan Diver
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            name:Epidemiology Research Program, American Cancer Society
            address:
               name:Epidemiology Research Program, American Cancer Society, Atlanta, USA
               type:PostalAddress
            type:Organization
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            name:Emory University
            address:
               name:Emory University, Atlanta, USA
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               name:Kaiser Permanente, Denver, USA
               type:PostalAddress
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      name:Epidemiology Research Program, American Cancer Society, Atlanta, USA
      name:Emory University, Atlanta, USA
      name:Epidemiology Research Program, American Cancer Society, Atlanta, USA
      name:Epidemiology Research Program, American Cancer Society, Atlanta, USA
      name:Emory University, Atlanta, USA
      name:Kaiser Permanente, Denver, USA
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External Links {🔗}(108)

Analytics and Tracking {📊}

  • Google Tag Manager

Libraries {📚}

  • Clipboard.js
  • Prism.js

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