• Ann. Intern. Med. · May 2017

    Weight History and All-Cause and Cause-Specific Mortality in Three Prospective Cohort Studies.

    • Edward Yu, Sylvia H Ley, JoAnn E Manson, Walter Willett, Ambika Satija, Frank B Hu, and Andrew Stokes.
    • From Harvard T.H. Chan School of Public Health, Brigham and Women's Hospital, Harvard Medical School, and Boston University School of Public Health, Boston, Massachusetts.
    • Ann. Intern. Med. 2017 May 2; 166 (9): 613620613-620.

    BackgroundThe relationship between body mass index (BMI) and mortality is controversial.ObjectiveTo investigate the relationship between maximum BMI over 16 years and subsequent mortality.Design3 prospective cohort studies.SettingNurses' Health Study I and II and Health Professionals Follow-Up Study.Participants225 072 men and women with 32 571 deaths observed over a mean of 12.3 years of follow-up.MeasurementsMaximum BMI over 16 years of weight history and all-cause and cause-specific mortality.ResultsMaximum BMIs in the overweight (25.0 to 29.9 kg/m2) (multivariate hazard ratio [HR], 1.06 [95% CI, 1.03 to 1.08]), obese I (30.0 to 34.9 kg/m2) (HR, 1.24 [CI, 1.20 to 1.29]), and obese II (≥35.0 kg/m2) (HR, 1.73 [CI, 1.66 to 1.80]) categories were associated with increases in risk for all-cause death. The pattern of excess risk with a maximum BMI above normal weight was maintained across strata defined by smoking status, sex, and age, but the excess was greatest among those younger than 70 years and never-smokers. In contrast, a significant inverse association between overweight and mortality (HR, 0.96 [CI, 0.94 to 0.99]) was observed when BMI was defined using a single baseline measurement. Maximum overweight was also associated with increased cause-specific mortality, including death from cardiovascular disease and coronary heart disease.LimitationResidual confounding and misclassification.ConclusionThe paradoxical association between overweight and mortality is reversed in analyses incorporating weight history. Maximum BMI may be a useful metric to minimize reverse causation bias associated with a single baseline BMI assessment.Primary Funding SourceNational Institutes of Health.

      Pubmed     Free full text   Copy Citation     Plaintext  

      Add institutional full text...

    Notes

     
    Knowledge, pearl, summary or comment to share?
    300 characters remaining
    help        
    You can also include formatting, links, images and footnotes in your notes
    • Simple formatting can be added to notes, such as *italics*, _underline_ or **bold**.
    • Superscript can be denoted by <sup>text</sup> and subscript <sub>text</sub>.
    • Numbered or bulleted lists can be created using either numbered lines 1. 2. 3., hyphens - or asterisks *.
    • Links can be included with: [my link to pubmed](http://pubmed.com)
    • Images can be included with: ![alt text](https://bestmedicaljournal.com/study_graph.jpg "Image Title Text")
    • For footnotes use [^1](This is a footnote.) inline.
    • Or use an inline reference [^1] to refer to a longer footnote elseweher in the document [^1]: This is a long footnote..

    hide…