Evidence map›Paper›PMID 26374293›Full record

ArticleBMC public health2015

A comparison of indices of glucose metabolism in five black populations: data from modeling the epidemiologic transition study (METS).

Yacoba Atiase, Kathryn Farni, Jacob Plange-Rhule, Amy Luke, Pascal Bovet, Terrence G Forrester, Vicki Lambert, Naomi S Levitt, Stephanie Kliethermes, Guichan Cao and 3 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

9 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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
  6. Article
  7. Article
  8. Review
  9. 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

13 authors at 7 institutions in 5 countries.

Yacoba AtiaseUniversity of Ghana Medical School, Accra, Ghana. yacobat@gmail.com.
Kathryn FarniDepartment of Public Health Sciences, Loyola University Chicago Stritch School of Medicine, Maywood, IL, USA. kfarni@luc.edu.
Jacob Plange-RhuleKwame Nkrumah University of Science and Technology, Kumasi, Ghana. jprhule@africaonline.com.gh.
Amy LukeDepartment of Public Health Sciences, Loyola University Chicago Stritch School of Medicine, Maywood, IL, USA. aluke@luc.edu.
Pascal BovetInstitute of Social & Preventive Medicine, Lausanne University Hospital, Lausanne, Switzerland. pascal.bovet@chuv.ch.
Terrence G ForresterSolutions for Developing Countries (SODECO), University of the West Indies, Mona, Kingston, Jamaica. terrence.forrester@uwimona.edu.jm.
Vicki LambertResearch Unit for Exercise Science and Sports Medicine, University of Cape Town, Cape Town, South Africa. Vicki.Lambert@uct.ac.za.
Naomi S LevittDepartment of Medicine, University of Cape Town, Cape Town, South Africa. naomi.levitt@uct.ac.za.
Stephanie KliethermesDepartment of Public Health Sciences, Loyola University Chicago Stritch School of Medicine, Maywood, IL, USA. skliethermes@luc.edu.
Guichan CaoDepartment of Public Health Sciences, Loyola University Chicago Stritch School of Medicine, Maywood, IL, USA. GCAO@luc.edu.
Ramon A Durazo-ArvizuDepartment of Public Health Sciences, Loyola University Chicago Stritch School of Medicine, Maywood, IL, USA. rdurazo@luc.edu.
Richard S CooperDepartment of Public Health Sciences, Loyola University Chicago Stritch School of Medicine, Maywood, IL, USA. rcooper@luc.edu.
Lara R DugasDepartment of Public Health Sciences, Loyola University Chicago Stritch School of Medicine, Maywood, IL, USA. ldugas@luc.edu.
Loyola University Chicago · USUniversity of Cape Town · ZAIllinois Department of Public Health · USInstitute of Social and Preventive Medicine · CHKwame Nkrumah University of Science and Technology · GHUniversity of Ghana · GHUniversity of the West Indies System · JM

Funding

Stroke and Cardiovascular Research Training (SCaRT) InstituteD43TW009140 · FIC · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ADANU, RICHARD M K, ALABI, SULYMAN BIODUN · 2011 to 2023
$2.5M
Modeling the epidemiologic transition: Energy expenditure, obesity and diabetesR01DK080763 · NIDDK · LOYOLA UNIVERSITY CHICAGO · PI LUKE, AMY H · 2009 to 2012
$2.4M
FIC NIH HHS D43 TW009140NIDDK NIH HHS 1R01DK80763NIDDK NIH HHS R01 DK080763
6 · The paper itself

Abstract

backgroundGlobally, Africans and African Americans experience a disproportionate burden of type 2 diabetes, compared to other race and ethnic groups. The aim of the study was to examine the association of plasma glucose with indices of glucose metabolism in young adults of African origin from 5 different countries.

methodsWe identified participants from the Modeling the Epidemiologic Transition Study, an international study of weight change and cardiovascular disease (CVD) risk in five populations of African origin: USA (US), Jamaica, Ghana, South Africa, and Seychelles. For the current study, we included 667 participants (34.8 ± 6.3 years), with measures of plasma glucose, insulin, leptin, and adiponectin, as well as moderate and vigorous physical activity (MVPA, minutes/day [min/day]), daily sedentary time (min/day), anthropometrics, and body composition.

resultsAmong the 282 men, body mass index (BMI) ranged from 22.1 to 29.6 kg/m(2) in men and from 25.8 to 34.8 kg/m(2) in 385 women. MVPA ranged from 26.2 to 47.1 min/day in men, and from 14.3 to 27.3 min/day in women and correlated with adiposity (BMI, waist size, and % body fat) only among US males after controlling for age. Plasma glucose ranged from 4.6 ± 0.8 mmol/L in the South African men to 5.8 mmol/L US men, while the overall prevalence for diabetes was very low, except in the US men and women (6.7 and 12 %, respectively). Using multivariate linear regression, glucose was associated with BMI, age, sex, smoking hypertension, daily sedentary time but not daily MVPA.

conclusionObesity, metabolic risk, and other potential determinants vary significantly between populations at differing stages of the epidemiologic transition, requiring tailored public health policies to address local population characteristics.

Indexed as

Black PeopleBody Mass IndexInternationalitySedentary BehaviorAdipokinesAdultBlack or African AmericanBlood GlucoseBody CompositionDiabetes Mellitus, Type 2Epidemiologic StudiesExerciseFemaleHumansHypertensionInsulinAdipokinesBlood GlucoseInsulin

Identifiers

PMID26374293
PMCPMC4572672
OpenAlexW1934194298

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.