---
title: Can diet and body measurements predict PMS? | Niyora
description: Yes. A machine learning model using diet and body measurements could predict PMS with 80.3% accuracy. The strongest predictors were sodium intake, sugar intak
url: https://niyora.com/research/papers/dietary-intake-of-micronutrients-are-predictor-of-premenstrual-syndrome-a-2023/
---

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- Can diet and body measurements predict PMS?

Survey study, 2023

# Can diet and body measurements predict PMS?

Yes. A machine learning model using diet and body measurements could predict PMS with 80.3% accuracy. The strongest predictors were sodium intake, sugar intake, total fat intake, biotin, and fat distribution. Results need confirmation in other studies.

 Early or limited evidence

223 Iranian women

## What they did

Researchers studied 223 Iranian women. They measured body size and fat distribution and asked about diet using a food frequency questionnaire. They used machine learning to identify which dietary and body measurements could predict PMS.

## What they found

The machine learning model correctly identified PMS 80.3% of the time and had an F1 score of 76.3%. The five strongest predictors were sodium intake, fat distribution around the upper hip, biotin intake, total fat intake, and total sugar intake.

## What it means for you

Diet and body fat distribution appear strongly linked to PMS. However, this is a small observational study using a novel machine learning method. These findings need to be tested in other populations and larger studies before we know if they apply broadly.

223

women studied

80.3%

accuracy of machine learning model

76.3%

F1 score of model

## About the study

Original title Dietary intake of micronutrients are predictor of premenstrual syndrome, a machine learning method Authors Taheri R, ZareMehrjardi F, Heidarzadeh-Esfahani N et al. Journal Clinical nutrition ESPEN Year 2023 Study design Survey study Participants 223 What was tested None Read the paper [doi.org/10.1016/j.clnesp.2023.02.011](https://doi.org/10.1016/j.clnesp.2023.02.011)

## Topics

[Premenstrual syndrome (PMS)](https://niyora.com/research/topics/condition-pms/)[Dysmenorrhea and period pain](https://niyora.com/research/topics/condition-dysmenorrhea/)[Diet and nutrition](https://niyora.com/research/topics/treatment-diet/)

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