Evidence map›Paper›PMID 39495738›Full record

ArticlePloS one2024

Associations of back muscle endurance with occupational back muscle activity and spinal loading among subsistence farmers and office workers in Rwanda.

Benjamin E Sibson, Alexandra R Harris, Andrew K Yegian, Aimable Uwimana, Assuman Nuhu, Alec Thomas, Dennis E Anderson, Robert M Ojiambo, Daniel E Lieberman

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Benjamin E SibsonDepartment of Human Evolutionary Biology, Harvard University, Cambridge, MA, United States of America.ORCID 0000-0002-8941-6568
Alexandra R HarrisDepartment of Human Evolutionary Biology, Harvard University, Cambridge, MA, United States of America.
Andrew K YegianDepartment of Human Evolutionary Biology, Harvard University, Cambridge, MA, United States of America.
Aimable UwimanaDivision of Basic Sciences, University of Global Health Equity, Butaro, Rwanda.ORCID 0000-0001-6453-3760
Assuman NuhuDepartment of Physiotherapy, University of Rwanda, Kigali City, Rwanda.
Alec ThomasInstitute of Sports Science, University of Lausanne, Lausanne, Switzerland.ORCID 0009-0001-7396-9483
Dennis E AndersonCenter for Advanced Orthopedic Studies, Beth Israel Deaconess Medical Center, Boston, MA, United States of America.
Robert M OjiamboDivision of Basic Sciences, University of Global Health Equity, Butaro, Rwanda.
Daniel E LiebermanDepartment of Human Evolutionary Biology, Harvard University, Cambridge, MA, United States of America.

Funding

National Science Foundation BES AND DEL 2235529
6 · The paper itself

Abstract

Over the course of the physical activity transition, machines have largely replaced skeletal muscle as the source of work for locomotion and other forms of occupational physical activity in industrial environments. To better characterize this transition and its effect on back muscles and the spine, we tested to what extent typical occupational activities of rural subsistence farmers demand higher magnitudes and increased variability of back muscle activity and spinal loading compared to occupational activities of urban office workers in Rwanda, and whether these differences were associated with back muscle endurance, the dominant risk factor for back pain. Using electromyography, inertial measurement units, and OpenSim musculoskeletal modeling, we measured back muscle activity and spinal loading continuously while participants performed occupational activities for one hour. We measured back muscle endurance using electromyography median frequency analysis. During occupational work, subsistence farmers activate their back muscles and load their spines at 390% higher magnitudes and with 193% greater variability than office workers. Partial correlations accounting for body mass show magnitude and variability response variables are positively associated with back muscle endurance (R = 0.39-0.90 [P < 0.001-0.210] and R = 0.54-0.72 [P = 0.007-0.071], respectively). Body mass is negatively correlated with back muscle endurance (R = -0.60, P = 0.031), suggesting higher back muscle endurance may be also partly attributable to having lower body mass. Because higher back muscle endurance is a major factor that prevents back pain, these results reinforce evidence that under-activating back muscles and under-loading spines at work increases vulnerability to back pain and may be an evolutionary mismatch. As sedentary occupations become more common, there is a need to study the extent to which occupational and leisure time physical activities that increase back muscle endurance helps prevent back pain.

Indexed as

Back MusclesElectromyographyFarmersPhysical EnduranceAdultBack PainFemaleHumansMaleMiddle AgedRwandaSpineWeight-Bearing

Identifiers

PMID39495738
PMCPMC11534227

What OpenQuestion holds

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LicenceCC BY
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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.