Evidence map›Paper›PMID 39362729›Full record

ArticleThe American journal of clinical nutrition2024

Ultraprocessed food intake and body mass index change among youths: a prospective cohort study.

Mengxi Du, Lu Wang, Nerea Martín-Calvo, Klodian Dhana, Neha Khandpur, Sinara Laurini Rossato, Euridice Martinez Steele, Teresa T Fung, Jorge E Chavarro, Qi Sun and 1 more

Abstract read
In one paragraph

Article in The American journal of clinical nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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

8 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Mengxi DuFriedman School of Nutrition Science and Policy, Tufts University, Boston, MA, United States.
Lu WangFriedman School of Nutrition Science and Policy, Tufts University, Boston, MA, United States.
Nerea Martín-CalvoDepartment of Preventive Medicine and Public Health, School of Medicine, University of Navarra, Pamplona, Spain; IdiSNA, Health Research Institute of Navarra, Pamplona, Spain; CIBER of Physiopathology of Obesity and Nutrition, Carlos III Institute of Health, Madrid, Spain.
Klodian DhanaRush Institute for Healthy Aging, Rush University Medical Center, Chicago, IL, United States; Department of Internal Medicine, Rush University Medical Center, Chicago, IL, United States.
Neha KhandpurDivision of Human Nutrition and Health, Wageningen University, Wageningen, Netherlands; Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil; Department of Nutrition, T.H. Chan School of Public Health, Harvard University, Boston, MA, United States.
Sinara Laurini RossatoDepartment of Nutrition, T.H. Chan School of Public Health, Harvard University, Boston, MA, United States; Institute of Geography, Center of Studies on Environment and Health (NESA), Laboratory of Extension and Research on Epidemiology (Lapex-Epi), Universidade Federal de Uberlândia, Uberlândia, Minas Gerais, Brazil.
Euridice Martinez SteeleDepartment of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil; Center for Epidemiological Studies in Health and Nutrition, University of São Paulo, São Paulo, Brazil.
Teresa T FungDepartment of Nutrition, T.H. Chan School of Public Health, Harvard University, Boston, MA, United States; Department of Nutrition, Simmons University, Boston, MA, United States.
Jorge E ChavarroDepartment of Nutrition, T.H. Chan School of Public Health, Harvard University, Boston, MA, United States; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
Qi SunDepartment of Nutrition, T.H. Chan School of Public Health, Harvard University, Boston, MA, United States; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States. Electronic address: qisun@hsph.harvard.edu.
Fang Fang ZhangFriedman School of Nutrition Science and Policy, Tufts University, Boston, MA, United States. Electronic address: fang_fang.zhang@tufts.edu.

Funding

Integrating lifecourse approaches, biologic and digital phenotypes in support of heart and lung disease epidemiologic researchU01HL145386 · NHLBI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI CHAVARRO, JORGE EDUARDO, MANSON, JOANN ELISABETH · 2019 to 2025
$17.8M
Environmental Obesogens and Weight Change in the POUNDS LOST TrialR01ES022981 · NIEHS · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI SUN, QI · 2014 to 2024
$4.7M
Ultra-processed Foods, Diet Quality, and Cardiometabolic Health: An Inter-disciplinary Trans-Atlantic Collaborative ProjectR01DK120870 · NIDDK · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Qibin Qi, Qi Sun · 2019 to 2026
$4.2M
Comparative and Cost-Effectiveness of Population Strategies to Improve Diet and Reduce CancerR01MD011501 · NIMHD · TUFTS UNIVERSITY BOSTON · PI ZHANG, FANG FANG · 2016 to 2019
$2.0M
NHLBI NIH HHS U01 HL145386NIDDK NIH HHS R01 DK120870NIEHS NIH HHS R01 ES022981NIMHD NIH HHS R01 MD011501
6 · The paper itself

Abstract

backgroundSuboptimal diets may promote undesired weight gain in youths, with high ultraprocessed food (UPF) intake becoming a significant concern in the United States.

objectivesWe evaluated the association between UPF intake and body mass index [BMI (in kg/m

methodsParticipants included children and adolescents (7-17 y) from the Growing Up Today Study (GUTS1 and GUTS2) who completed baseline and ≥1 follow-up diet and anthropometrics assessment (GUTS1 1996-2001: N = 15,797; GUTS2 2004-2011: N = 9720). Follow-up years were based on diet assessment availability. UPFs were categorized using the Nova system, with intakes evaluated as the cumulative mean percent energy from UPFs and subgroups. BMI was assessed using self-reported body weight/height. Changes in BMI annually and over 2, 4-5, and 7 y in association with UPF intake were examined using multivariable repeated-measure linear mixed models.

resultsAt baseline, the mean percentage of energy from UPFs was 49.9% in GUTS1 and 49.5% in GUTS2 participants; mean BMI was 18.7 and 19.8, respectively. After multivariable adjustments for sociodemographic and lifestyle factors, each 10% increment in UPF intake was associated with a 0.01 (95% confidence interval: 0.003, 0.03) increase annually and a 0.07 (0.01, 0.13) increase over 5 y in GUTS1 participants. In GUTS2, increases were 0.02 (0.003, 0.04) annually and 0.09 (0.01, 0.18) over 4 y. Among GUTS1, statistically significant annual BMI increases of 0.02-0.07 were associated with elevated intake of ultraprocessed breakfast cereals, savory snacks, and ready-to-eat/heat foods, especially pizza, burgers, and sandwiches. No association was found between UPF intake and overweight/obesity risk.

conclusionsA higher UPF intake was associated with a modest yet significant increase in BMI in large prospective cohorts of United States youths, calling for public health efforts to promote healthful food intake among youths to prevent excessive weight gain.

Indexed as

Body Mass IndexAdolescentChildCohort StudiesDietEnergy IntakeFast FoodsFemaleFood HandlingHumansMaleProspective StudiesUnited StatesWeight GainBMIchildren and adolescentsdietary intakeGrowing Up Today Studyobesityprospective cohortultraprocessed foods

Identifiers

PMID39362729
PMCPMC11473438

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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.