Evidence map›Paper›PMID 32722215›Full record

ArticleInternational journal of environmental research and public health2020

Association between Walking Pace and Diabetes: Findings from the Chilean National Health Survey 2016-2017.

Igor Cigarroa, María José Espinoza-Sanhueza, Nicole Lasserre-Laso, Ximena Diaz-Martinez, Alex Garrido-Mendez, Carlos Matus-Castillo, María Adela Martinez-Sanguinetti, Ana Maria Leiva, Fanny Petermann-Rocha, Solange Parra-Soto and 6 more

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Trial
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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

16 authors at 8 institutions in 2 countries.

Igor CigarroaEscuela de Kinesiología, Facultad de Salud, Universidad Santo Tomás, Santiago 1015, Chile.ORCID 0000-0003-0418-8787
María José Espinoza-SanhuezaEscuela de Enfermería, Facultad de Salud, Universidad Santo Tomás, Santiago 1015, Chile.ORCID 0000-0002-3643-069X
Nicole Lasserre-LasoEscuela de Nutrición y Dietética, Facultad de Salud, Universidad Santo Tomás, Santiago 1015, Chile.
Ximena Diaz-MartinezGrupo de Investigación en Calidad de Vida, Departamento de Ciencias de la Educación, Facultad de Educación y Humanidades, Universidad del Biobío, Chillán 1180, Chile.
Alex Garrido-MendezDepartamento de Ciencias del Deporte y Acondicionamiento Físico, Universidad Católica de la Santísima Concepción, Concepción 2850, Chile.
Carlos Matus-CastilloDepartamento de Ciencias del Deporte y Acondicionamiento Físico, Universidad Católica de la Santísima Concepción, Concepción 2850, Chile.ORCID 0000-0001-8019-6442
María Adela Martinez-SanguinettiInstituto de Farmacia, Facultad de Ciencias, Universidad Austral de Chile, Valdivia 1954, Chile.
Ana Maria LeivaInstituto de Anatomía, Histología y Patología, Facultad de Medicina, Universidad Austral de Chile, Valdivia 1954, Chile.
Fanny Petermann-RochaInstitute of Health and Wellbeing, University of Glasgow, Glasgow G12 8QQ, UK.ORCID 0000-0002-4384-4962
Solange Parra-SotoInstitute of Health and Wellbeing, University of Glasgow, Glasgow G12 8QQ, UK.ORCID 0000-0002-8443-7327
Yeny Concha-CisternasEscuela de Kinesiología, Facultad de Salud, Universidad Santo Tomás, Santiago 1015, Chile.
Claudia Troncoso-PantojaCIEDE-UCSC, Departamentos de Salud Pública, Facultad de Medicina, Universidad Católica de la Santísima, Concepción 2850, Chile.
Miquel MartorellDepartamento de Nutrición y Dietética, Facultad de Farmacia, Universidad de Concepción, Concepción 1290, Chile.ORCID 0000-0003-3183-7623
Natalia UlloaCentro de Vida Saludable, Universidad de Concepción, Concepción 1290, Chile.
Heather WaddellInstitute of Health and Wellbeing, University of Glasgow, Glasgow G12 8QQ, UK.ORCID 0000-0001-5845-4804
Carlos Celis-MoralesInstitute of Health and Wellbeing, University of Glasgow, Glasgow G12 8QQ, UK.ORCID 0000-0003-2612-3917
British Heart Foundation · GBUniversidad Católica de la Santísima Concepción · CLUniversidad Santo Tomás · CLAustral University of Chile · CLUniversity of Concepción · CLUniversidad Autónoma de Chile · CLUniversidad Mayor · CLUniversity of Bío-Bío · CL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWalking pace is a well-known indicator of physical capability, but it is also a strong predictor of type 2 diabetes (T2D). However, there is a lack of evidence on the association between walking pace and T2D, specifically, within developing countries such as Chile.

aimTo investigate the association between self-reported walking pace and T2D in the Chilean adult population.

methods5520 Chilean participants (aged 15 to 90 years, 52.1% women) from the Chilean National Health Survey 2016-2017 were included in this cross-sectional study. Both walking pace (slow, average, and brisk) and diabetes data were collected through self-reported methods. Fasting blood glucose (reported in mg/dl) and glycosylated haemoglobin A (HbA1c) scores were determined via blood exams.

resultsIn the unadjusted model, and compared to people who reported a slow walking pace, those with average and brisk walking pace had lower blood glucose levels (β = -7.74 mg/dL (95% CI: -11.08 to -4.40) and β = -11.05 mg/dL (95% CI: -14.36 to -7.75), respectively) and lower HbA1c (β = -0.34% (95% CI: -0.57 to -0.11) and β= -0.72% (95% CI: -0.94 to -0.49)), respectively. After adjusting for sociodemographic, Body Mass Index and lifestyle factors, the association between glycaemia and HbA1c remained only for brisk walkers. Both the average and brisk walker categories had lower odds of T2D (OR: 0.59 (95% CI: 0.41 to 0.84) and (OR 0.48 (95% CI: 0.30 to 0.79), respectively).

conclusionBrisk walkers were associated with lower blood glucose and HbA1c levels. Moreover, average to brisk walking pace also showed a lower risk for T2D.

Indexed as

Diabetes Mellitus, Type 2Walking SpeedAdolescentAdultAgedAged, 80 and overBlood GlucoseChileCross-Sectional StudiesFemaleGlycated HemoglobinHealth SurveysHumansMaleMiddle AgedWalkingBlood GlucoseGlycated HemoglobinChile (MeSH)diabetes mellitusglucoseglycosylated haemoglobin Ahealth surveyswalking pace

Identifiers

PMID32722215
PMCPMC7432405
OpenAlexW3024520530

What OpenQuestion holds

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LicenceCC BY
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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.