Study2019Open access

Ultraprocessed Food and Cardiovascular Risk: Estimating the Number Needed to Harm in an Unfamiliar Situation

Andrade C

Indian journal of psychological medicine · 3 citations

Review labels

No stated lifestyle adjustment

Neutral facts our review recorded about how this study was done. They describe method, never whether we like the result.

How it was studied

Design
Cohort study (classified by our AI screen)
Studied in
People
Main outcome
Clinical events such as disease or death
Intake measured by
Not stated

Who paid for it

Funding
Independent funding

Based on full-text disclosure statement.

Publication

Published
2019-09-01 · Indian J Psychol Med · vol. 41 · issue 5 · pp. 501–502
Publisher
SAGE Publishing
Cited
5 citations · more than 73% of similar papers · 0.6× the field average
References
2 works
Access
Open access (free to publish) · CC-BY-NC-SA
Research areas
Consumer Attitudes and Food Labeling · Nutritional Studies and Diet · Obesity, Physical Activity, Diet
Keywords
Number needed to harm, Observational study, Harm, Statistic, Context (archaeology), Psychology, Randomized controlled trial, Medicine, Social psychology, Number needed to treat, Relative risk, Confidence interval, Statistics, Internal medicine, Mathematics, History

1 author

From IN

  • Chittaranjan Andrade · correspondingNational Institute of Mental Health and Neurosciences

Abstract

The Number Needed to Harm (NNH) statistic is a measure of effect size. It is defined as the number of patients who need to be treated for one additional patient to experience an adverse outcome. The NNH is conventionally calculated in the context of a randomized controlled trial. This article explains how the NNH can be estimated and understood for a lifestyle behavior in the context of an observational study in which the outcome was described using an uncommon unit. The lifestyle behavior, here, was the intake of ultraprocessed food and the outcome was stated as the number of events per 1000 person-years. The NNH can be estimated from the data provided, expressed in different ways, and converted into a form that is relevant to clinical practice.

Abstract via Europe PMC. Copyright remains with the authors or publisher (CC BY-NC-SA).

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