ReviewObesity (Silver Spring, Md.)2016
Body mass index: Has epidemiology started to break down causal contributions to health and disease?
Review in Obesity (Silver Spring, Md.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- Revising BMI Cut-Off Points for Overweight and Obesity in Male Athletes: An Analysis Based on Multivariable Model-Building.Nutrients · 2025Article
- A multivariant recall-by-genotype study of the metabolomic signature of BMI.Obesity (Silver Spring, Md.) · 2022Article
- Metabolic disorders and the risk of head and neck cancer: a protocol for a systematic review and meta-analysis.BMJ open · 2022Article
- Melanocortin-4 receptor complexity in energy homeostasis,obesity and drug development strategies.Diabetes, obesity & metabolism · 2022Review
- Changes in DNA Methylation and Gene Expression of Insulin and Obesity-Related GeneInternational journal of molecular sciences · 2020Article
- Mendelian Randomization analysis of the causal effect of adiposity on hospital costs.Journal of health economics · 2020Article
- The Association Between Adiposity and Inpatient Hospital Costs in the UK Biobank Cohort.Applied health economics and health policy · 2019Article
- Article
- Genetics of Severe Obesity.Current diabetes reports · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
objectivesTo review progress in understanding the methods and results concerning the causal contribution of body mass index (BMI) to health and disease.
methodsIn the context of conventional evidence focused on the relationship between BMI and health, this review considers current literature on the common, population-based, genetic contribution to BMI and how this has fed into the developing field of applied epidemiology.
resultsTechnological and analytical developments have driven considerable success in identifying genetic variants relevant to BMI. This has enabled the implementation of Mendelian randomization to address questions of causality. The product of this work has been the implication of BMI as a causal agent in a host of health outcomes. Further breakdown of causal pathways by integration with other "omics" technologies promises to deliver additional benefit.
conclusionsGaps remain in our understanding of BMI as a risk factor for health and disease, and while promising, applied genetic epidemiology should be considered alongside alternative methods for assessing the impact of BMI on health. Potential limitations, relating to inappropriate or nonspecific measures of obesity and the improper use of genetic instruments, will need to be explored and incorporated into future research aiming to dissect BMI as a risk factor.
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Identifiers
What Socratic 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 Socratic graph.