Evidence map›Paper›PMID 32611478›Full record

ArticlePublic health nutrition2020

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

Kory C Russel, Matthew P Buman, Jennifer Davis, William L Haskell

Open access · greenAbstract read
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Article in Public health nutrition, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 92% of its field
1 · What the graph read from it

What it found

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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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 3 citations in OpenAlex.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

Kory C RusselDepartment of Landscape Architecture, University of Oregon, Eugene, OR97403, USA.
Matthew P BumanSchool of Nutrition and Health Promotion, College of Health Solutions, Arizona State University, Phoenix, AZ85004, USA.
Jennifer DavisDepartment of Civil and Environmental Engineering, Stanford University, Stanford, CA94305, USA.
William L HaskellDepartment of Medicine (Emeritus), Stanford University, Stanford, CA94305, USA.
Stanford University · USArizona State University · USUniversity of Oregon · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveEven 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.

designThis 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.

settingThe study was conducted in Nampula, Mozambique.

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

resultsIncluding 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).

conclusionsThe 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.

Indexed as

Energy MetabolismWaterCalorimetry, IndirectFemaleHeart RateHumansMozambiquePhysical ExertionWomen, WorkingWaterEnergy costsHand-pounding grainHeart rate monitorIndirect calorimetryMetabolic equivalent of taskRural Mozambican womenWater fetching

Identifiers

PMID32611478
PMCPMC10200677
OpenAlexW3038304208

What OpenQuestion holds

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Registered trials

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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 OpenQuestion graph.