[Association between Walking Pace and obesity in Chilean Population: Findings from the Chilean National Health Survey 2016-2017].

Asociación entre la velocidad de marcha y obesidad en población chilena: Resultados de la Encuesta Nacional de Salud 2016-2017.

Journal

Revista medica de Chile
ISSN: 0717-6163
Titre abrégé: Rev Med Chil
Pays: Chile
ID NLM: 0404312

Informations de publication

Date de publication:
Jul 2023
Historique:
received: 25 01 2022
accepted: 19 06 2023
medline: 1 7 2023
pubmed: 1 7 2023
entrez: 2 8 2024
Statut: ppublish

Résumé

Walking Pace is a functional marker, used as a predictor of chronic diseases. However, there is a lack of evidence on the association between walking pace and obesity. To investigate the association between-self-reported walking pace with obesity in the Chilean adult population. 6,183 Chilean participants (aged 15 to 98 years) from the Chilean National Health Survey 2016-2017 were included in this cross-sectional study. Weight, height, waist circumference (WC), body mass index (BMI) and waist to height ratio (WHtR) were the outcomes of interest. Self-reported walking pace (slow, average and brisk) was the exposure. The association between walking pace and obesity was determined by linear regression and Poisson regression and all analyses were adjusted in models according to sociodemographic and lifestyle factors. In the most adjusted model, those who reported an average and brisk walking pace had a lower BMI (¡3: -1.03, p = 0.017 and-1.56 p = 0.001), lower WC (3: -2.98, p = 0.004 and -3.64, p = 0.001) and waist to height ratio (3: -0.19, p = 0.004 and -0.26 p < 0.0001) compared to people who reported a slow walking pace. A brisk walkingpace was associated with a lower probability of obesity and central obesity. the average and brisk walkingpace was associated with lower body weight, BMI, waist circumference and waist to height ratio and a brisk walking pace was associated with a lower probability of obesity and central obesity, independently of sociodemographic and lifestyle factors.

Sections du résumé

BACKGROUND BACKGROUND
Walking Pace is a functional marker, used as a predictor of chronic diseases. However, there is a lack of evidence on the association between walking pace and obesity.
AIM OBJECTIVE
To investigate the association between-self-reported walking pace with obesity in the Chilean adult population.
METHODS METHODS
6,183 Chilean participants (aged 15 to 98 years) from the Chilean National Health Survey 2016-2017 were included in this cross-sectional study. Weight, height, waist circumference (WC), body mass index (BMI) and waist to height ratio (WHtR) were the outcomes of interest. Self-reported walking pace (slow, average and brisk) was the exposure. The association between walking pace and obesity was determined by linear regression and Poisson regression and all analyses were adjusted in models according to sociodemographic and lifestyle factors.
RESULTS RESULTS
In the most adjusted model, those who reported an average and brisk walking pace had a lower BMI (¡3: -1.03, p = 0.017 and-1.56 p = 0.001), lower WC (3: -2.98, p = 0.004 and -3.64, p = 0.001) and waist to height ratio (3: -0.19, p = 0.004 and -0.26 p < 0.0001) compared to people who reported a slow walking pace. A brisk walkingpace was associated with a lower probability of obesity and central obesity.
CONCLUSION CONCLUSIONS
the average and brisk walkingpace was associated with lower body weight, BMI, waist circumference and waist to height ratio and a brisk walking pace was associated with a lower probability of obesity and central obesity, independently of sociodemographic and lifestyle factors.

Identifiants

pubmed: 39093174
pii: S0034-98872023000700849
doi: 10.4067/s0034-98872023000700849
pii:
doi:

Types de publication

English Abstract Journal Article

Langues

spa

Sous-ensembles de citation

IM

Pagination

849-858

Auteurs

Nicole Lasserre-Laso (N)

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

Igor Cigarroa (I)

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

Jennifer Zañartu-Fritz (J)

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

Jaime Vásquez-Gómez (J)

Centro de Investigación de Estudios Avanzados del Maule, Universidad Católica del Maule, Talca, Chile.

Yeny Concha-Cisternas (Y)

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

Cristián Álvarez (C)

School of Physical Therapy, Faculty of Rehabilitation Sciences, Universidad Andres Bello, Santiago, Chile.

Solange Parra-Soto (S)

Departamento de Nutrición y Salud Pública, Facultad Ciencias de la Salud y de los Alimentos, Universidad del Bío-Bío, Chillán, Chile.

Fanny Petermann-Rocha (F)

BHF Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Metabolic Health, United Kingdom.

Carlos Celis-Morales (C)

Laboratorio de Rendimiento Humano, Universidad Católica del Maule, Talca, Chile.

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Classifications MeSH