Models of hydration and nutrition require environmental data

Public Health Nutr. 2020 Apr;23(6):971-973. doi: 10.1017/S1368980019003343. Epub 2019 Dec 19.

Abstract

Objective: To recognize the causality of environmental factors (i.e. temperature, humidity and sun exposure) on nutritional variables, specifically body water balance and water-seeking behaviour.

Design: Author perspective.

Setting: Global.

Participants: Not applicable.

Results: A free-standing code supplement is provided to facilitate investigators in accessing meteorological data for incorporation into analyses related to nutrition and hydration.

Conclusions: Analytical models related to human hydration should account for the environment de rigueur.

Keywords: Database; Explanatory variance; Goodness-of-fit; Hydration; Nutrition; Supported inference; Weather.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Environmental Exposure / analysis*
  • Humans
  • Humidity
  • Nutritional Physiological Phenomena
  • Nutritional Status / physiology*
  • Sunlight
  • Temperature
  • Thirst / physiology*
  • Water-Electrolyte Balance / physiology*