ArticleEpidemiology (Cambridge, Mass.)2018
Stratified Probabilistic Bias Analysis for Body Mass Index-related Exposure Misclassification in Postmenopausal Women.
Article in Epidemiology (Cambridge, Mass.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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
17 citing papers in PubMed.
- A cross-national comparison of obesity using body mass index-for-age percentiles: results from the Canadian Longitudinal Study on Aging and the United States Health and Retirement Study.American journal of epidemiology · 2025Article
- BMI-for-age percentile curves for older adults.Obesity (Silver Spring, Md.) · 2025Article
- Could differential underreporting of loneliness between men and women bias the gender-specific association between loneliness duration and rate of memory decline? A probabilistic bias analysis of effect modification.American journal of epidemiology · 2025Article
- Probabilistic bias analysis for exposure misclassification of household income by neighbourhood in a cohort of individuals with colorectal cancer.International journal of epidemiology · 2024Article
- Guidance of development, validation, and evaluation of algorithms for populating health status in observational studies of routinely collected data (DEVELOP-RCD).Military Medical Research · 2024Article
- Longitudinal patterns of abdominal visceral and subcutaneous adipose tissue, total body composition, and anthropometric measures in postmenopausal women: Results from the Women's Health Initiative.International journal of obesity (2005) · 2023Article
- Impact of Hepatitis C Virus Cure on Depressive Symptoms in the Human Immunodeficiency Virus-Hepatitis C Virus Coinfected Population in Canada.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023Article
- Midlife body mass index, central adiposity and neuropsychological performance over 10 years in women living with and without HIV.Frontiers in endocrinology · 2023Article
- Monte Carlo Simulation Approaches for Quantitative Bias Analysis: A Tutorial.Epidemiologic reviews · 2022Review
- Toward a better understanding about real-world evidence.European journal of hospital pharmacy : science and practice · 2022Review
- Transdisciplinary Research in Energetics and Cancer early career investigator training program: first year results.Translational behavioral medicine · 2021Article
- Common misconceptions about validation studies.International journal of epidemiology · 2020Article
- Association of Adipose Tissue Distribution With Type 2 Diabetes in Breast Cancer Patients.Breast cancer : basic and clinical research · 2020Article
- It's Absolutely Relative: The Effect of Age on the BMI-Mortality Relationship in Postmenopausal Women.Obesity (Silver Spring, Md.) · 2020Article
- Effects of Weight History on the Association Between Directly Measured Adiposity and Mortality in Older Adults.The journals of gerontology. Series A, Biological sciences and medical sciences · 2019Article
- A Bayesian Sensitivity Analysis to Partition Body Mass Index Into Components of Body Composition: An Application to Head and Neck Cancer Survival.American journal of epidemiology · 2019Article
- The Effects of Reverse Causality and Selective Attrition on the Relationship Between Body Mass Index and Mortality in Postmenopausal Women.American journal of epidemiology · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
17 authors.
Funding
Abstract
backgroundThere is widespread concern about the use of body mass index (BMI) to define obesity status in postmenopausal women because it may not accurately represent an individual's true obesity status. The objective of the present study is to examine and adjust for exposure misclassification bias from using an indirect measure of obesity (BMI) compared with a direct measure of obesity (percent body fat).
methodsWe used data from postmenopausal non-Hispanic black and non-Hispanic white women in the Women's Health Initiative (n=126,459). Within the Women's Health Initiative, a sample of 11,018 women were invited to participate in a sub-study involving dual-energy x-ray absorptiometry scans. We examined indices of validity comparing BMI-defined obesity (≥30 kg/m), with obesity defined by percent body fat. We then used probabilistic bias analysis models stratified by age and race to explore the effect of exposure misclassification on the obesity-mortality relationship.
resultsValidation analyses highlight that using a BMI cutpoint of 30 kg/m to define obesity in postmenopausal women is associated with poor validity. There were notable differences in sensitivity by age and race. Results from the stratified bias analysis demonstrated that failing to adjust for exposure misclassification bias results in attenuated estimates of the obesity-mortality relationship. For example, in non-Hispanic white women 50-59 years of age, the conventional risk difference was 0.017 (95% confidence interval = 0.01, 0.023) and the bias-adjusted risk difference was 0.035 (95% simulation interval = 0.028, 0.043).
conclusionsThese results demonstrate the importance of using quantitative bias analysis techniques to account for nondifferential exposure misclassification of BMI-defined obesity. See video abstract at, http://links.lww.com/EDE/B385.
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.