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Estimating energy expenditure of head-hauling water and grain grinding from heart rate monitor measurements in northern Mozambique

Published online by Cambridge University Press:  02 July 2020

Kory C Russel
Affiliation:
Department of Landscape Architecture, University of Oregon, Eugene, OR 97403, USA Environmental Studies Program, University of Oregon, Eugene, OR 97403, USA
Matthew P Buman
Affiliation:
School of Nutrition and Health Promotion, College of Health Solutions, Arizona State University, Phoenix, AZ 85004, USA
Jennifer Davis
Affiliation:
Department of Civil and Environmental Engineering, Stanford University, Stanford, CA 94305, USA Woods Institute for the Environment, Stanford University, Stanford, CA 94305, USA
William L Haskell
Affiliation:
Department of Medicine (Emeritus), Stanford University, Stanford, CA 94305, USA
Corresponding
E-mail address:

Abstract

Objective:

Even though sub-Saharan African women spend millions of person-hours per day fetching water and pounding grain, to date, few studies have rigorously assessed the energy expenditure costs of such domestic activities. As a result, most analyses that consider head-hauling water or hand pounding of grain with a mortar and pestle (pilão use) employ energy expenditure values derived from limited research. The current paper compares estimated energy expenditure values from heart rate monitors v. indirect calorimetry in order to understand some of the limitations with using such monitors to measure domestic activities.

Design:

This confirmation study estimates the metabolic equivalent of task (MET) value for head-hauling water and hand-pounding grain using both indirect calorimetry and heart rate monitors under laboratory conditions.

Setting:

The study was conducted in Nampula, Mozambique.

Participants:

Forty university students in Nampula city who recurrently engaged in water-fetching activities.

Results:

Including all participants, the mean MET value for head hauling 20 litres (20·5 kg, including container) of water (2·7 km/h, 0 % slope) was 4·3 (sd 0·9) and 3·7 (sd 1·2) for pilão use. Estimated energy expenditure predictions from a mixed model were found to correlate with observed energy expenditure (r2 0·68, r 0·82). Re-estimating the model with pilão use data excluded improved the fit substantially (r2 0·83, r 0·91).

Conclusions:

The current study finds that heart rate monitors are suitable instruments for providing accurate quantification of energy expenditure for some domestic activities, such as head-hauling water, but are not appropriate for quantifying expenditures of other activities, such as hand-pounding grain.

Type
Research paper
Copyright
© The Authors 2020

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