Evidence map›Paper›PMID 40104606›Full record

ArticleCurrent developments in nutrition2025

The Association of Nativity and Time in the United States on Added Sugar Consumption.

Keerthi Godala, Yanfang Su, Hyunju Kim

Abstract read
In one paragraph

Article in Current developments in nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Keerthi GodalaDepartment of Epidemiology, Baylor University, Waco, TX, United States.
Yanfang SuDepartment of Global Health, School of Public Health, Evans School of Public Policy and Governance University of Washington, Seattle, WA, United States.
Hyunju KimDepartment of Epidemiology, University of Washington School of Public Health, Seattle, WA, United States.

Funding

Mentored Education for Dissemination and Implementation Science (MEDIS) ProgramR25DK123008 · NIDDK · WASHINGTON UNIVERSITY · PI BROWNSON, ROSS C, HAIRE-JOSHU, DEBRA · 2020 to 2024
$1.1M
Population strategies to reduce sodium intake and cardiovascular diseases in the United States: Applying RE-AIM to policy implementationK01HL166688 · NHLBI · UNIVERSITY OF WASHINGTON · PI Yanfang Su · 2024 to 2026
$499k
NHLBI NIH HHS K01 HL166688NIDDK NIH HHS R25 DK123008
6 · The paper itself

Abstract

Background: Diets high in added sugar are associated with adverse health conditions. Immigrants may have different added sugar intake than nonimmigrants, which may contribute to differential health outcomes. Objectives: We examined Methods: Cross-sectional analyses were based on 17,489 adults (≥18 y) from the NHANES (2011 to March 2020) and prospective analyses were based on 31,291 adults (≥18 y) from NHANES 2003-2018. Multivariable linear regression models were used to assess the association between added sugar intake as a percent of energy, nativity (US-born compared with non-US-born), and time in the United States (<5 years, 5 to <15 y, 15-30 y, ≥30 y), after adjusting for important confounders. Multivariable Cox regression models were conducted to examine the association between added sugar intake and mortality. Results: After adjusting for sociodemographic factors and BMI, individuals not born in the United States had 3.29% lower (95% CI: -3.69, -2.90, Conclusions: Added sugar intake differed by nativity and time in the United States, underscoring the need to consider place of birth and length of time when characterizing dietary intake.

Indexed as

added sugarmortalitynativitytime in the United StatesUS adults

Identifiers

PMID40104606
PMCPMC11919317

What OpenQuestion holds

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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.