Evidence map›Paper›PMID 37441515›Full record

ArticleFood & nutrition research2023

Body mass index variation in adults with Williams syndrome: associations with predicted dietary intake and food behaviors.

Danielle Renzi, Takara Stanley, Jessica Waxler, Hang Lee, Barbara Pober, Marianne Nordstrom

Open access · goldAbstract read
In one paragraph

Article in Food & nutrition research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.6field-weighted citation impact, top 18% of its field
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

5 citing papers in PubMed, 8 citations in OpenAlex.

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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

6 authors at 3 institutions in 2 countries.

Danielle RenziDivision of Genetics, Department of Pediatrics, Massachusetts General Hospital, Boston, MA, USA.
Takara StanleyMetabolism Unit, Department of Medicine, and Pediatric Endocrine Unit, Department of Pediatrics, Massachusetts General Hospital, Boston, MA, USA.
Jessica WaxlerDivision of Genetics, Department of Pediatrics, Massachusetts General Hospital, Boston, MA, USA.
Hang LeeHarvard Medical School, Boston, MA, USA.
Barbara PoberDivision of Genetics, Department of Pediatrics, Massachusetts General Hospital, Boston, MA, USA.
Marianne NordstromDepartment of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway.
Massachusetts General Hospital · USHarvard University · USUniversity of Oslo · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Dietary intake and body weight are important predictors of long-term health. However, few studies have focused on these topics in adults with genetic syndromes that have associated intellectual disability, such as Williams syndrome (WS). Objective: In adults with WS, describe predicted dietary intake, food-related problems, and associations between body mass index (BMI) and possible factors contributing to differences in weight status. Design: In this study of 82 participants (median age of 30 years, range 18-69), we cross sectionally investigated associations between BMI, predicted dietary intakes (Dietary Screener Questionnaire), food-related behaviors (Food-Related Problem Questionnaire), and anxiety (Spence Children's Anxiety Scale). Longitudinal patterns of weight change were further studied in a subset ( Results: BMI variation was observed with median BMI of 27.3 kg/m Conclusion: We observed considerable BMI variability. While few dietary intakes were associated with BMI, increased BMI and weight gain were associated with 'preoccupation with food' and with 'takes and stores food' behavior sub-scores.

Indexed as

body weightfood behaviorfood frequency questionnaireweight trajectoryWilliams syndrome

Identifiers

PMID37441515
PMCPMC10335094
OpenAlexW4381988016

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.