Trial reportObesity (Silver Spring, Md.)2017
Perceived weight status and weight change among a U.S. adult sample.
Trial report in Obesity (Silver Spring, Md.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled 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.
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
6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 11 citations in OpenAlex.
- Misclassification of Self-Reported Body Mass Index Categories.Deutsches Arzteblatt international · 2020Pooled it
- A systematic review of the relationship between weight status perceptions and weight loss attempts, strategies, behaviours and outcomes.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2018Pooled it
- Weight Misperception, Weight Dissatisfaction, and Weight Change Among a Swiss Population-Based Adult Sample.International journal of environmental research and public health · 2025Article
- BMI and well-being in people of East Asian and European ancestry: a Mendelian randomisation study.Translational psychiatry · 2023Article
- Estimation of weight status and weight-loss efforts in Korean adults with non-obesity considering metabolic syndrome.Eating and weight disorders : EWD · 2019Article
- Weight Perceptions and Weight-Related Behaviors among Low Income Postpartum Women.Journal of obesity and weight-loss medication · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
objectiveExamine bidirectional associations between weight perception and weight change over time among adults.
methodsData are from adult employees (N = 623) across 12 U.S. public high schools participating in a cluster-randomized multilevel weight gain prevention intervention. Data were collected at baseline, 12 months, and 24 months. Perceived weight status (very/somewhat underweight, just right, somewhat overweight, very overweight) were obtained via self-administered surveys. Weight (kg) was measured by trained staff. Change in weight was calculated as the difference between baseline weight and weight at each follow-up time point. Structural equation models were used to assess bidirectional associations of perceived weight status and change in weight over time. Models were adjusted for study condition, gender, age, race/ethnicity, education level, and previous time point.
resultsThe sample was 65% female with a mean age of 44.6 (SD = 11.3). Nearly two thirds of the sample consisted of people with overweight (38.8%) or obesity (27.3%). Structural equation models indicated that baseline weight predicted subsequent perceived weight status (β = 0.26; P < 0.001), whereas baseline perceived weight status did not predict subsequent change in weight, adjusting for previous time point and covariates.
conclusionsResults do not support bidirectional causality between weight perception and weight change in an adult sample.
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.