Evidence map›Paper›PMID 30537282›Full record

ArticleAmerican journal of human biology : the official journal of the Human Biology Council2019

Physical activity energy expenditure and cardiometabolic health in three rural Kenyan populations.

Jerry C Lee, Kate Westgate, Michael K Boit, David L Mwaniki, Festus K Kiplamai, Henrik Friis, Inge Tetens, Dirk L Christensen, Soren Brage

Open access · hybridAbstract read
In one paragraph

Article in American journal of human biology : the official journal of the Human Biology Council, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 22% of its field
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. Article
  5. Article
  6. Article
  7. Physical activity energy expenditure and cardiometabolic health in three rural Kenyan populations.American journal of human biology : the official journal of the Human Biology Council · 2019
    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 at 6 institutions in 4 countries.

Jerry C LeeDepartment of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Kate WestgateMRC Epidemiology Unit, University of Cambridge, Cambridge, UK.
Michael K BoitDepartment of Recreation Management and Exercise Science, Kenyatta University, Nairobi, Kenya.
David L MwanikiCentre for Public Health Research, KEMRI, Nairobi, Kenya.
Festus K KiplamaiDepartment of Recreation Management and Exercise Science, Kenyatta University, Nairobi, Kenya.
Henrik FriisDepartment of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark.
Inge TetensNational Food Institute, Technical University of Denmark, Soeborg, Denmark.
Dirk L ChristensenMRC Epidemiology Unit, University of Cambridge, Cambridge, UK.ORCID 0000-0003-2142-522X
Soren BrageMRC Epidemiology Unit, University of Cambridge, Cambridge, UK.
Kenyatta University · KEUniversity of Cambridge · GBUniversity of Copenhagen · DKDuke University · USKenya Medical Research Institute · KETechnical University of Denmark · DK

Funding

REDUCING COCAINE RELAPSE WITH NALTREXONER01DA008871 · NIDA · FRIENDS RESEARCH INSTITUTE, INC. · PI WESSON, DONALD R · 1995 to 1997
–
Danish International Development Agency (DANIDA) J. no. 104.DAN.8.871, RUF project no. 91202Medical Research Council MC_U106179473Medical Research Council MC_UU_12015/3the Medical Research Council Epidemiology Unit (MC_UU_12015/3)the NIHR Bio-medical Research Centre Cambridge [IS-BRC-1215-20014].
6 · The paper itself

Abstract

objectivesPhysical activity is beneficial for metabolic health but the extent to which this may differ by ethnicity is still unclear. Here, the objective was to characterize the association between physical activity energy expenditure (PAEE) and cardiometabolic risk among the Luo, Kamba, and Maasai ethnic groups of rural Kenya.

methodsIn a cross-sectional study of 1084 rural Kenyans, free-living PAEE was objectively measured using individually-calibrated heart rate and movement sensing. A clustered metabolic syndrome risk score (zMS) was developed by averaging the sex-specific z-scores of five risk components measuring central adiposity, blood pressure, lipid levels, glucose tolerance, and insulin resistance.

resultszMS was 0.08 (-0.09; -0.06) SD lower for every 10 kJ/kg/day difference in PAEE after adjustment for age and sex; this association was modified by ethnicity (interaction with PAEE P < 0.05). When adjusted for adiposity, each 10 kJ/kg/day difference in PAEE was predicted to lower zMS by 0.04 (-0.05, -0.03) SD, without evidence of interaction by ethnicity. The Maasai were predicted to have higher cardiometabolic risk than the Kamba and Luo at every quintile of PAEE, with a strong dose-dependent decreasing trend among all ethnicities.

conclusionFree-living PAEE is strongly inversely associated with cardiometabolic risk in rural Kenyans. Differences between ethnic groups in this association were observed but were explained by differences in central adiposity. Therefore, targeted interventions to increase PAEE are more likely to be effective in subgroups with high central adiposity, such as Maasai with low levels of PAEE.

Indexed as

Energy MetabolismExerciseHeart RateAdolescentAdultAgedAged, 80 and overCross-Sectional StudiesEthnicityFemaleHumansKenyaMaleMetabolic SyndromeMiddle AgedPopulation Health

Identifiers

PMID30537282
PMCPMC6435188
OpenAlexW2905239297

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.