Evidence map›Paper›PMID 26394033›Full record

ArticlePLoS medicine2015

Changes in Intake of Fruits and Vegetables and Weight Change in United States Men and Women Followed for Up to 24 Years: Analysis from Three Prospective Cohort Studies.

Monica L Bertoia, Kenneth J Mukamal, Leah E Cahill, Tao Hou, David S Ludwig, Dariush Mozaffarian, Walter C Willett, Frank B Hu, Eric B Rimm

Erratum issuedAbstract read
In one paragraph

Article in PLoS medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 150 papers, 12 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
150citing papers in PubMed, 12 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

150 citing papers in PubMed, 12 syntheses or guidelines pooled it.

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  2. Oligella spp.: A systematic review on an uncommon urinary pathogen.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2024
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90 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Monica L BertoiaDepartment of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of America; Channing Division of Network Medicine, Department of Medicine, Brigham & Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America.
Kenneth J MukamalDepartment of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of America; Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States of America.
Leah E CahillDepartment of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of America.
Tao HouDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of America.
David S LudwigDepartment of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of America; New Balance Foundation Obesity Prevention Center, Boston Children's Hospital, Boston, Massachusetts, United States of America.
Dariush MozaffarianDepartment of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of America; Channing Division of Network Medicine, Department of Medicine, Brigham & Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of America; Division of Cardiovascular Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America; Friedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts, United States of America.
Walter C WillettDepartment of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of America; Channing Division of Network Medicine, Department of Medicine, Brigham & Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of America.
Frank B HuDepartment of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of America; Channing Division of Network Medicine, Department of Medicine, Brigham & Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of America.
Eric B RimmDepartment of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of America; Channing Division of Network Medicine, Department of Medicine, Brigham & Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of America.

Funding

Statistical MethodsP01CA087969 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI TWOROGER, SHELLEY S · 2000 to 2019
$77.8M
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
Premonopausal Hormone Levels and Risk of Breast CancerR01CA067262 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI HANKINSON, SUSAN E · 2002 to 2011
$11.9M
Cancer Epidemiology Cohort in Male Health ProfessionalsUM1CA167552 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI WILLETT, WALTER C. · 2012 to 2016
$11.5M
BIOCHEMICAL MARKERS IN THE NURSES'HEALTH STUDY COHORTR01CA049449 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI HANKINSON, SUSAN E · 1989 to 2008
$11.3M
Risk Factors for Ischemic Stroke in WomenR01HL088521 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI REXRODE, KATHRYN M · 2008 to 2025
$9.9M
Effects of Diet on Hormones, Metabolism and Body WeightK24DK082730 · NIDDK · BOSTON CHILDREN'S HOSPITAL · PI LUDWIG, DAVID S · 2009 to 2018
$1.6M
NCI NIH HHS P01 CA087969NCI NIH HHS P01 CA87969NCI NIH HHS R01 CA049449NCI NIH HHS R01 CA067262NCI NIH HHS R01 CA49449NCI NIH HHS R01 CA67262NCI NIH HHS UM1 CA167552NCI NIH HHS UM1 CA176726NHLBI NIH HHS R01 HL034594NHLBI NIH HHS R01 HL035464NHLBI NIH HHS R01 HL088521NHLBI NIH HHS R01 HL35464NIDDK NIH HHS K24 DK082730NIDDK NIH HHS K24DK082730
6 · The paper itself

Abstract

backgroundCurrent dietary guidelines recommend eating a variety of fruits and vegetables. However, based on nutrient composition, some particular fruits and vegetables may be more or less beneficial for maintaining or achieving a healthy weight. We hypothesized that greater consumption of fruits and vegetables with a higher fiber content or lower glycemic load would be more strongly associated with a healthy weight. METHODS AND

findingsWe examined the association between change in intake of specific fruits and vegetables and change in weight in three large, prospective cohorts of 133,468 United States men and women. From 1986 to 2010, these associations were examined within multiple 4-y time intervals, adjusting for simultaneous changes in other lifestyle factors, including other aspects of diet, smoking status, and physical activity. Results were combined using a random effects meta-analysis. Increased intake of fruits was inversely associated with 4-y weight change: total fruits -0.53 lb per daily serving (95% CI -0.61, -0.44), berries -1.11 lb (95% CI -1.45, -0.78), and apples/pears -1.24 lb (95% CI -1.62, -0.86). Increased intake of several vegetables was also inversely associated with weight change: total vegetables -0.25 lb per daily serving (95% CI -0.35, -0.14), tofu/soy -2.47 lb (95% CI, -3.09 to -1.85 lb) and cauliflower -1.37 lb (95% CI -2.27, -0.47). On the other hand, increased intake of starchy vegetables, including corn, peas, and potatoes, was associated with weight gain. Vegetables having both higher fiber and lower glycemic load were more strongly inversely associated with weight change compared with lower-fiber, higher-glycemic-load vegetables (p < 0.0001). Despite the measurement of key confounders in our analyses, the potential for residual confounding cannot be ruled out, and although our food frequency questionnaire specified portion size, the assessment of diet using any method will have measurement error.

conclusionsIncreased consumption of fruits and non-starchy vegetables is inversely associated with weight change, with important differences by type suggesting that other characteristics of these foods influence the magnitude of their association with weight change.

Indexed as

Body WeightFruitVegetablesAdultAgedFemaleHumansMaleMiddle AgedProspective StudiesSurveys and QuestionnairesUnited States

Identifiers

PMID26394033
PMCPMC4578962

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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.