Evidence map›Paper›PMID 38697516›Full record

ArticleThe Journal of nutrition2024

Ultraprocessed Food Intake during the Transition to Adulthood Varies According to Sociodemographic Characteristics and Maternal Intake in Cebu, Philippines.

Kyle R Busse, Nanette R Lee Mayol, Alice S Ammerman, Christy L Avery, Stephanie L Martin, Linda S Adair

Abstract read
In one paragraph

Article in The Journal of nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Sociodemographic factors and salt consumption in Sri Lanka: awareness of salt intake recommendations as a mediator.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
    Article
  2. Article
  3. Article
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

6 authors.

Kyle R BusseDepartment of Nutrition, Gillings School of Global Public Health, University of North Carolina-Chapel Hill, Chapel Hill, NC, United States. Electronic address: kybusse@gmail.com.
Nanette R Lee MayolUSC-Office of Population Studies Foundation, University of San Carlos, Cebu City, Philippines.
Alice S AmmermanDepartment of Nutrition, Gillings School of Global Public Health, University of North Carolina-Chapel Hill, Chapel Hill, NC, United States; Center for Health Promotion and Disease Prevention, University of North Carolina-Chapel Hill, Chapel Hill, NC, United States.
Christy L AveryDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina-Chapel Hill, Chapel Hill, NC, United States; Carolina Population Center, University of North Carolina-Chapel Hill, Chapel Hill, NC, United States.
Stephanie L MartinDepartment of Nutrition, Gillings School of Global Public Health, University of North Carolina-Chapel Hill, Chapel Hill, NC, United States; Carolina Population Center, University of North Carolina-Chapel Hill, Chapel Hill, NC, United States.
Linda S AdairDepartment of Nutrition, Gillings School of Global Public Health, University of North Carolina-Chapel Hill, Chapel Hill, NC, United States; Carolina Population Center, University of North Carolina-Chapel Hill, Chapel Hill, NC, United States.

Funding

UNIV OF NORTH CAROLINA CLINICAL NUTRITION RESEARCH UNITP30DK056350 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Venkata Saroja Voruganti · 1999 to 2026
$31.6M
Global Cardiometabolic Disease TrainingT32HL129969 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ADAIR, LINDA S · 2016 to 2025
$2.1M
NHLBI NIH HHS T32 HL129969NIDDK NIH HHS P30 DK056350
6 · The paper itself

Abstract

backgroundUltraprocessed foods (UPFs) are associated with elevated risk of noncommunicable disease, but little is known about UPF intake and the individual-, household-, and community-level factors associated with it among adolescents in low- or middle-income countries.

objectivesWe estimated the association of UPF intake across adolescence with sociodemographic characteristics and maternal UPF intake in a Filipino cohort.

methodsData were from 4 waves (1994-2005) of the Cebu Longitudinal Health and Nutrition Survey (n = 2068); participants were aged 11, 15, 18, and 21 y. Foods from 24-h recalls were classified using NOVA. We used two-part multilevel models to estimate time-varying associations of the odds and amount (percentage daily kilocalories) of UPF intake with sociodemographic characteristics and maternal UPF intake (none, below median among UPF-consuming mothers ["low"], at or above median ["high"]).

resultsMedian UPF intake (interquartile range [IQR]) among adolescents was 7.3% (IQR: 0, 17.2%) of daily kilocalories at age 11 y and 10.6% (IQR: 3.6, 19.6%) at 21 y. The odds and amount of adolescent UPF intake were positively associated with female sex, years of schooling, and household wealth and inversely associated with household size. The odds-but not amount-of adolescent UPF intake was positively associated with maternal education and urbanicity and inversely associated with the distance from a household's primary store/market. The association between odds of adolescent UPF intake and school enrollment was positive in adolescence but disappeared in early adulthood. Compared with offspring whose mothers did not consume UPFs, the odds of UPF intake among those whose mothers had low or high UPF intake was greater in adolescence, but there was no association once offspring became adults. At all ages, maternal UPF intake was positively associated with the amount of offspring intake.

conclusionsAdolescent UPF intake varied across sociodemographic characteristics and was positively associated with maternal UPF intake, but not after adolescents entered adulthood.

Indexed as

MothersSociodemographic FactorsSocioeconomic FactorsAdolescentAdultChildDietEnergy IntakeFast FoodsFemaleFood HandlingHumansLongitudinal StudiesMaleNutrition SurveysPhilippinesadolescencebirth cohortSoutheast Asiatwo-part modelsultraprocessed foods

Identifiers

PMID38697516
PMCPMC11282470

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.