ArticleNutrition research (New York, N.Y.)2014
Increase in body mass index from normal weight to overweight in a cross-sectional sample of healthy research volunteers.
Article in Nutrition research (New York, N.Y.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- Evaluation of Complex Drug Interactions Between Elexacaftor-Tezacaftor-Ivacaftor and Statins Using Physiologically Based Pharmacokinetic Modeling.Pharmaceutics · 2025Article
- Article
- Physiologically-Based Pharmacokinetic-Led Guidance for Patients With Cystic Fibrosis Taking Elexacaftor-Tezacaftor-Ivacaftor With Nirmatrelvir-Ritonavir for the Treatment of COVID-19.Clinical pharmacology and therapeutics · 2022Article
- Data driven evaluation of healthy volunteer characteristics at screening for phase I clinical trials to inform on study design and optimize screening processes.Clinical and translational science · 2021Article
- How healthy are the "Healthy volunteers"? Penetrance of NAFLD in the biomedical research volunteer pool.Hepatology (Baltimore, Md.) · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Current literature provides limited information about healthy volunteers serving as controls for biomedical research. This study describes trends in body mass index (BMI), a ratio of weight to height (kilograms per square meter), of the population of healthy volunteers at the National Institutes of Health Clinical Center (NIH CC) and compares these trends to a nationally representative sample, as reported by the National Health and Nutrition Examination Survey. We hypothesized that BMI trends at the NIH CC would follow those of the US population. This cross-sectional study examined the BMI of healthy volunteers at the NIH CC from 1976 to 1980, 1981 to 1987, 1988 to 1994, 1995 to 1998 and for all subsequent two-year periods onward until 2012. Study data were extracted from the NIH Biomedical Translational Research Information System. Subjects were selected based on a discharge code of "volunteer." Descriptive statistics of volunteers at the NIH CC were calculated for height, weight, age-adjusted BMI, age, and sex, and associations between categorical variables were analyzed using the χ2 test. Differences between BMI categories or periods for continuous independent variables were assessed using Kruskal-Wallis and post hoc Tamhane T2 tests. The 13 898 healthy volunteers with median age of 34 years were 53% female and primarily non-Hispanic whites. Mean BMI was within the normal category from 1976 to 1987. From 1988 on, mean BMI fluctuated but increased overall. The BMI of healthy volunteers at the NIH CC appears to follow national trends as described by National Health and Nutrition Examination Survey data of increasing body weight during the past three decades followed by a recent plateau.
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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.