ArticlePediatric obesity2024
Negative familial weight talk and weight bias internalization in a US sample of children and adolescents.
Article in Pediatric obesity, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed, 7 citations in OpenAlex.
- Efficacy of a Universal Weight Stigma Intervention on the Quality of Parent-Child Conversations About Weight.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2025Trial
- Article
- Lifestyle Behaviors Associated with Weight Loss Intent in Adolescent Girls: Findings from the US 2021 National Youth Risk Behavior Survey.Nutrients · 2025Article
- Relationship Between Weight Bias Internalization and Health-Related Quality of Life Among Adolescents Seeking Metabolic and Bariatric Surgery.Obesity surgery · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundNegative familial weight talk may contribute to higher weight bias internalization in pre- and early adolescents (hereafter referred to as children) and may differ by gender, weight status, and race and ethnicity.
objectiveExamine the relationship between negative familial weight talk and weight bias internalization and examine differences by gender, weight status, and race and ethnicity.
methodsWe cross-sectionally analysed 5th-7th graders (10-15 years old) living in Massachusetts (n = 375, 52.3% girls, 21.3% BMI ≥85th percentile, 54.8% non-Hispanic White). Negative familial weight talk frequency during the past 3 months was self-reported and discretized as 'never,' 'occasionally' (1-9 times) and 'often' (>9 times); the Modified Weight Bias Internalization Scale assessed weight bias internalization. Generalized linear models estimated the relationship between negative familial weight talk and weight bias internalization and sub-analyses estimated the relationship across gender, weight status, and race and ethnicity. Results are summarized as ratios of means (RoM).
resultsChildren experiencing negative familial weight talk occasionally (RoM = 1.12, p = 0.024) and often (RoM = 1.48, p < 0.001) had significantly higher weight bias internalization than children who never experienced it. In sub-analyses, experiencing negative familial weight talk often was associated with higher weight bias internalization among girls (RoM = 1.66, p < 0.001), boys (RoM = 1.32, p = 0.007), children with BMI <85th percentile (RoM = 1.44, p = 0.007) and BMI ≥85th percentile (RoM = 1.39, p = 0.001), and non-Hispanic White children (RoM = 1.78, p < 0.001), but not Hispanic (RoM = 1.25, p = 0.085) or non-Hispanic Black children (RoM = 1.20; p = 0.31).
conclusionsFrequent negative familial weight talk was associated with higher weight bias internalization across gender and weight status and in non-Hispanic White children only.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.