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


Journal

International journal of environmental research and public health
ISSN: 1660-4601
Titre abrégé: Int J Environ Res Public Health
Pays: Switzerland
ID NLM: 101238455

Informations de publication

Date de publication:
24 07 2020
Historique:
received: 23 02 2020
revised: 26 04 2020
accepted: 27 04 2020
entrez: 30 7 2020
pubmed: 30 7 2020
medline: 2 12 2020
Statut: epublish

Résumé

Walking 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. To investigate the association between self-reported walking pace and T2D in the Chilean adult population. 5520 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. In 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). Brisk walkers were associated with lower blood glucose and HbA1c levels. Moreover, average to brisk walking pace also showed a lower risk for T2D.

Sections du résumé

BACKGROUND
Walking 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.
AIM
To investigate the association between self-reported walking pace and T2D in the Chilean adult population.
METHODS
5520 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.
RESULTS
In 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).
CONCLUSION
Brisk walkers were associated with lower blood glucose and HbA1c levels. Moreover, average to brisk walking pace also showed a lower risk for T2D.

Identifiants

pubmed: 32722215
pii: ijerph17155341
doi: 10.3390/ijerph17155341
pmc: PMC7432405
pii:
doi:

Substances chimiques

Blood Glucose 0
Glycated Hemoglobin A 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Références

Ann Rehabil Med. 2017 Feb;41(1):72-79
pubmed: 28289638
Nutr Hosp. 2018 Mar 01;35(2):400-407
pubmed: 29756975
Br J Sports Med. 2018 Jun;52(12):761-768
pubmed: 29858463
J Gerontol A Biol Sci Med Sci. 2017 Feb;72(2):266-270
pubmed: 27927757
Psychogeriatrics. 2016 May;16(3):165-71
pubmed: 26114989
Eur J Epidemiol. 2015 Jul;30(7):529-42
pubmed: 26092138
PLoS One. 2014 Oct 17;9(10):e109767
pubmed: 25329391
J Public Health (Oxf). 2016 Jun;38(2):e98-e105
pubmed: 26112281
Patient Educ Couns. 2002 May;47(1):23-8
pubmed: 12023097
Diabetes Care. 2004 May;27(5):1047-53
pubmed: 15111519
Eur J Prev Cardiol. 2020 Jul;27(10):1036-1044
pubmed: 31698963
Rev Med Chil. 2008 Aug;136(8):1056-64
pubmed: 18949192
J Nutr Health Aging. 2009 Dec;13(10):881-9
pubmed: 19924348
Lancet. 2015 Aug 8;386(9993):533-40
pubmed: 26049253
Nutr Hosp. 2019 Mar 07;36(1):149-158
pubmed: 30834756
Rev Peru Med Exp Salud Publica. 2017 Oct-Dec;34(4):619-626
pubmed: 29364417
Rev Med Chil. 2010 Sep;138(9):1124-30
pubmed: 21249280
Med Sci Sports Exerc. 2019 Mar;51(3):472-480
pubmed: 30303933
JAMA Netw Open. 2019 Oct 2;2(10):e1912352
pubmed: 31577355
Arch Gerontol Geriatr. 2018 Jan;74:77-82
pubmed: 29040888
Atherosclerosis. 2019 Oct;289:51-56
pubmed: 31450014
J Strength Cond Res. 2017 Nov;31(11):3235-3244
pubmed: 29065080
Int J Environ Res Public Health. 2019 Apr 27;16(9):
pubmed: 31035553
J Geriatr Oncol. 2015 Nov;6(6):484-96
pubmed: 26362356
Diabetes Care. 2016 Nov;39(11):2065-2079
pubmed: 27926890
J Am Geriatr Soc. 2015 Jun;63(6):1129-36
pubmed: 26096387
J Phys Act Health. 2012 Jul;9(5):698-705
pubmed: 22733873
Diabetes Care. 2012 Aug;35(8):1672-9
pubmed: 22596176
BMJ. 2018 Mar 23;360:k1046
pubmed: 29572376
Med Sci Sports Exerc. 2014;46(5):933-9
pubmed: 24968127
Eur Heart J. 2017 Nov 14;38(43):3232-3240
pubmed: 29020281
Diabetes Care. 2005 Jun;28(6):1503-4
pubmed: 15920080
Diabetes Care. 2007 Mar;30(3):744-52
pubmed: 17327354
J Gerontol A Biol Sci Med Sci. 2013 Jan;68(1):39-46
pubmed: 22923430
World Health Organ Tech Rep Ser. 2000;894:i-xii, 1-253
pubmed: 11234459
J Am Geriatr Soc. 2013 May;61(5):769-75
pubmed: 23617584

Auteurs

Igor Cigarroa (I)

Escuela de Kinesiología, Facultad de Salud, Universidad Santo Tomás, Santiago 1015, Chile.

María José Espinoza-Sanhueza (MJ)

Escuela de Enfermería, Facultad de Salud, Universidad Santo Tomás, Santiago 1015, Chile.

Nicole Lasserre-Laso (N)

Escuela de Nutrición y Dietética, Facultad de Salud, Universidad Santo Tomás, Santiago 1015, Chile.

Ximena Diaz-Martinez (X)

Grupo 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-Mendez (A)

Departamento de Ciencias del Deporte y Acondicionamiento Físico, Universidad Católica de la Santísima Concepción, Concepción 2850, Chile.

Carlos Matus-Castillo (C)

Departamento de Ciencias del Deporte y Acondicionamiento Físico, Universidad Católica de la Santísima Concepción, Concepción 2850, Chile.

María Adela Martinez-Sanguinetti (MA)

Instituto de Farmacia, Facultad de Ciencias, Universidad Austral de Chile, Valdivia 1954, Chile.

Ana Maria Leiva (AM)

Instituto de Anatomía, Histología y Patología, Facultad de Medicina, Universidad Austral de Chile, Valdivia 1954, Chile.

Fanny Petermann-Rocha (F)

Institute of Health and Wellbeing, University of Glasgow, Glasgow G12 8QQ, UK.
British Heart Foundation Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow G12 8QQ, UK.

Solange Parra-Soto (S)

Institute of Health and Wellbeing, University of Glasgow, Glasgow G12 8QQ, UK.
British Heart Foundation Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow G12 8QQ, UK.

Yeny Concha-Cisternas (Y)

Escuela de Kinesiología, Facultad de Salud, Universidad Santo Tomás, Santiago 1015, Chile.
Pedagogía en Educación Física, Facultad de Educación, Universidad Autónoma de Chile, Talca 2203, Chile.

Claudia Troncoso-Pantoja (C)

CIEDE-UCSC, Departamentos de Salud Pública, Facultad de Medicina, Universidad Católica de la Santísima, Concepción 2850, Chile.

Miquel Martorell (M)

Departamento de Nutrición y Dietética, Facultad de Farmacia, Universidad de Concepción, Concepción 1290, Chile.

Natalia Ulloa (N)

Centro de Vida Saludable, Universidad de Concepción, Concepción 1290, Chile.
Depto. de Bioquímica Clínica e Inmunología, Facultad de Farmacia, Universidad de Concepción, Concepción 1290, Chile.

Heather Waddell (H)

Institute of Health and Wellbeing, University of Glasgow, Glasgow G12 8QQ, UK.
British Heart Foundation Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow G12 8QQ, UK.

Carlos Celis-Morales (C)

Institute of Health and Wellbeing, University of Glasgow, Glasgow G12 8QQ, UK.
British Heart Foundation Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow G12 8QQ, UK.
Centro de Investigación en Fisiología del Ejercicio (CIFE), Universidad Mayor, Santiago 2422, Chile.
Laboratorio de Rendimiento Humano, Grupo de Estudio en Educación, Actividad Física y Salud (GEEAFyS), Universidad Católica del Maule, Talca 2203, Chile.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH