Ana María Leiva Ordoñez

Dr. Ana María Leiva Ordoñez


Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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14 September 2022 in Behavioral Sciences
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Journal Article
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María Antonia Parra-RizoMaría Antonia Parra-Rizo
María Antonia Parra-Rizo
Jaime Vásquez-GómezJaime Vásquez-Gómez
Jaime Vásquez-Gómez
Cristian ÁlvarezCristian Álvarez
Cristian Álvarez
XMXimena Díaz Martínez
Ximena Díaz Martínez
CTClaudia Troncoso-Pantoja
Claudia Troncoso-Pantoja
Igor CigarroaIgor Cigarroa
Igor Cigarroa
There has not been much study of risk profiles in older people according to different levels of practice in physical activity. For this reason, the aim of this research was to evaluate whether the elements that influence the quality of life and factors such as gender and education can predict the level of physical activity in the physically active elderly population. The Fernández–Ballesteros quality of life questionnaire and the WHO International Physical Activity Questionnaire were applied to a sample of 397 people with a mean age of 69.65 years (SD = 4.71). The results revealed the following predictive factors of practicing a low level of physical activity (p < 0.05): being a woman; having a low educational level; and low scores in activity and leisure and in functional skills. In conclusion, gender, education, functional skills, activity and leisure, and health are elements of quality of life that predict the level of physical activity performed by the elderly, where it is necessary to use leisure activities (visiting friends, playing games, running errands) as an indirect way to increase participation in physical activity.

1 June 2020 in Revista médica de Chile
Verified
Journal Article
Open access
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AOAna María Leiva Ordoñez
Ana María Leiva Ordoñez
CTClaudia Troncoso-Pantoja
Claudia Troncoso-Pantoja
MMMaría Adela Martínez-Sanguinetti
María Adela Martínez-Sanguinetti
GNGabriela Nazar
Gabriela Nazar
YCYeny Concha-Cisternas
Yeny Concha-Cisternas
CCCarlos Celis-Morales
Carlos Celis-Morales
Chile es unos los países latinoamericanos que ha experimentado un acelerado incremento de su población adulta mayor, esperándose que hacia el 2040, sobre 20% de la población supere los 60 años y 6% alcance los 80 años2,3. Esta realidad exige un urgente replanteamiento de las políticas públicas que permitan dar respuestas a este escenario de envejecimiento poblacional4–6. El Plan de acción mundial sobre el envejecimiento y salud de la Organización Mundial de la Salud (OMS) señala la necesidad de generar evidencia para la elaboración de políticas públicas enfocadas en este grupo de la población7. En consecuencia, el objetivo de esta revisión narrativa fue describir el perfil sociodemográfico, epidemiológico y sociocultural de las personas mayores en Chile, identificando programas y políticas públicas orientadas a mejorar su calidad de vida.

17 June 2022 in Social Sciences
Verified
Journal Article
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RLRafael Zapata Lamana
Rafael Zapata Lamana
FPFelipe Poblete-Valderrama
Felipe Poblete-Valderrama
ALAndrés Javier Ledezma
Andrés Javier Ledezma
PLPATRICIA PAVON LEON
PATRICIA PAVON LEON
AOAna María Leiva Ordoñez
Ana María Leiva Ordoñez
María Antonia Parra-RizoMaría Antonia Parra-Rizo
María Antonia Parra-Rizo
The factors that make physically active older people feel more satisfied in adulthood have not been extensively studied. For this reason, the aim of this work has been to evaluate, among physically active older adults, whether the level of physical activity they perform and the factors that foster their quality of life can be predictors of their satisfaction with life. For this, the IPAQ, CUBRECAVI and LSI-A scales were applied to a sample of 397 people between 61 and 93 years old (M = 69.65, SD = 4.71). The results show that health (β = 0.373), functional abilities (β = 0.159) and environmental quality (β = 0.105) are predictors of satisfaction in the most active adults. In conclusion, neither physical activity (to a greater or lesser extent) nor income are predictive variables of satisfaction with life but, rather, predict some of the components that cement their quality of life (health, fending for themselves and the home environment).

24 March 2023 in Life
Verified
Journal Article
Open access
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Yeny Concha-CisternasYeny Concha-Cisternas
Yeny Concha-Cisternas
José Castro-PiñeroJosé Castro-Piñero
José Castro-Piñero
AOAna María Leiva Ordoñez
Ana María Leiva Ordoñez
Pablo Valdés-BadillaPablo Valdés-Badilla
Pablo Valdés-Badilla
Carlos Celis-MoralesCarlos Celis-Morales
Carlos Celis-Morales
Eduardo Guzmán-MuñozEduardo Guzmán-Muñoz
Eduardo Guzmán-Muñoz
This systematic review aimed to assess the available evidence on the effects of neuromuscular training on physical performance in older adults. A literature search was conducted across four databases (Psychology and Behavioral (EBSCO), Scopus, Web of Science and PubMed). The PRISMA guidelines were followed. The PEDro scale and Cochrane risk of bias tool were used to assess the quality of and risk of bias in the studies, respectively. The protocol was registered in PROSPERO (code: CRD42022319239). The outcomes were muscle strength, cardiorespiratory fitness, postural balance and gait speed. From 610 records initially found, 10 were finally included in the systematic review, involving 354 older people with a mean age of 67.3 years. Nine of them reported significant changes in at least one variable related to physical performance in the intervention compared to the control groups. The neuromuscular training caused significant improvements in postural balance, flexibility, cardiorespiratory fitness, strength power of the upper and lower limbs and autonomy. The available evidence indicates that neuromuscular training has a positive effect on some variables of physical performance, especially in postural balance; however, the methodological quality and certainty of the evidence in the available literature are limited. Therefore, a greater number of high-quality studies are required to draw definitive conclusions.

1 November 2018 in Experimental Gerontology
Verified
Journal Article
Closed access
CTClaudia Troncoso-Pantoja
Claudia Troncoso-Pantoja
Fanny Petermann-RochaFanny Petermann-Rocha
Fanny Petermann-Rocha
RBRosemary Brown
Rosemary Brown
AOAna María Leiva Ordoñez
Ana María Leiva Ordoñez
MMMaría Adela Martinez
María Adela Martinez
Carlos Celis-MoralesCarlos Celis-Morales
Carlos Celis-Morales

Igor CigarroaIgor Cigarroa
Igor Cigarroa
MEMaría José Espinoza-Sanhueza
María José Espinoza-Sanhueza
NLNicole Lasserre
Nicole Lasserre
XMXimena Díaz Martínez
Ximena Díaz Martínez
AGAlex Garrido-Mendez
Alex Garrido-Mendez
Carlos Celis-MoralesCarlos Celis-Morales
Carlos Celis-Morales
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.