Evidence map›Paper›PMID 28384755›Full record

ArticleAnnals of internal medicine2017

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, Andrew Stokes

Abstract read
In one paragraph

Article in Annals of internal medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

70 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Review
  6. Observational
  7. Article
  8. Article
  9. Depression and Obesity.Current obesity reports · 2025
    Review
  10. Review
  11. Article
  12. Article
  13. Association of Later-Life Weight Changes With Survival to Ages 90, 95, and 100: The Women's Health Initiative.The journals of gerontology. Series A, Biological sciences and medical sciences · 2023
    Article
  14. Article
  15. Article
  16. Article
  17. Subtyping Patients With Chronic Disease Using Longitudinal BMI Patterns.IEEE journal of biomedical and health informatics · 2023
    Article
  18. Article
  19. Observational
  20. Article

10 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Edward YuFrom 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.
Sylvia H LeyFrom 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.
JoAnn E MansonFrom 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.
Walter WillettFrom 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.
Ambika SatijaFrom 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.
Frank B HuFrom 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.
Andrew StokesFrom 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.

Funding

Long Term Multidisciplinary Study of Cancer in Women: The Nurses Health StudyUM1CA186107 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIASSEN, A. HEATHER, STAMPFER, MEIR · 2014 to 2023
$22.3M
Life Course Cancer Epidemiology Cohort in WomenUM1CA176726 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI WILLETT, WALTER C. · 2013 to 2017
$15.7M
RISK FACTORS FOR CVD IN WOMENR01HL034594 · NHLBI · TULANE UNIVERSITY OF LOUISIANA · PI JoAnn Elisabeth Manson, Lu Qi · 1985 to 2026
$13.8M
Dietary Etiology of Heart DiseaseR01HL035464 · NHLBI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI ERIC B RIMM, Qi Sun · 1986 to 2026
$13.6M
Cancer Epidemiology Cohort in Male Health ProfessionalsUM1CA167552 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI WILLETT, WALTER C. · 2012 to 2016
$11.5M
Risk Factors for Ischemic Stroke in WomenR01HL088521 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI REXRODE, KATHRYN M · 2008 to 2025
$9.9M
The Contribution of Obesity to International Differences in LongevityR01AG040212 · NIA · UNIVERSITY OF PENNSYLVANIA · PI PRESTON, SAMUEL H · 2011 to 2015
$1.7M
Using lifetime maximum weight to measure prevalence, trends, and mortality risks of obesity in the NHANESR03SH000037 · SH · BOSTON UNIVERSITY MEDICAL CAMPUS · PI STOKES, ANDREW · 2016 to 2016
$58k
NCHS CDC HHS R03 SH000037NCI NIH HHS UM1 CA167552NCI NIH HHS UM1 CA176726NCI NIH HHS UM1 CA186107NHLBI NIH HHS R01 HL034594NHLBI NIH HHS R01 HL035464NHLBI NIH HHS R01 HL088521NIA NIH HHS R01 AG040212
6 · The paper itself

Abstract

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. MEASUREMENTS: Maximum 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. LIMITATION: Residual 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 SOURCE: National Institutes of Health.

Indexed as

Body Mass IndexCause of DeathAdultAgedFemaleFollow-Up StudiesHumansMaleMiddle AgedObesityOverweightProspective Studies

Identifiers

PMID28384755
PMCPMC5518318

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.