Yoga Practice for The Elderly: Good Choice to Avoid Falls

Boros, Szilvia; Csala, Barbara; Szilágyi, Enikő

doi:10.15226/2374-6904/5/1/00166

Cited by 3 publications

(3 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Section: Resultsmentioning

confidence: 99%

“…Nevertheless, it can also be proposed that 10 weekly session are not sufficient to register significant improvement in functional reach. Anyhow, improvement in balance through yoga in young ages is not only a sign of physical fitness but it can be a form of prevention of risks concerning falling in elderly ages (70). Concerning flexibility, significant interaction effect in the sit and reach test and the side bend test showed that flexibility of yoga participants increased while it decreased in the control group at the end of the intervention.…”

Section: Discussionmentioning

confidence: 98%

See 1 more Smart Citation

Is Weekly Frequency of Yoga Practice Sufficient? Physiological Effects of Hatha Yoga Among Healthy Novice Women

Csala

Szemerszky

Körmendi

et al. 2021

Front. Public Health

Self Cite

View full text Add to dashboard Cite

Beneficial physical and physiological health outcomes of yoga practice are well-supported by empirical data. However, whether weekly frequency of training is sufficient to evoke positive changes, is still an open question. The present intervention study investigated the effects of 10 weekly sessions of beginner level hatha yoga with respect to indicators of physical fitness and physiological markers. 82 young women (mean age of 22.0 ± 3.83 years) participated in the study. The yoga group (N = 49) attended a yoga course consisting of 10 sessions (1.5 h each) on a weekly basis. The control group (N = 33) did not receive any intervention. BMI, body fat percentage, balance (one-leg-stand test with open and closed eyes, functional reach test), flexibility (side bend test, modified sit and reach test) core muscle strength (plank test) as well as resting heart rate (HR), and heart rate variability (HRV) were assessed 1 week before and after the course. Both frequentist and Bayesian analysis showed an improvement in flexibility and balance in the yoga group compared to the control group. The yoga group showed also increased core muscle strength. No changes with respect to BMI, body fat percentage, resting HR and HRV were found. Ninety minute beginner level hatha yoga classes were characterized by 93.39 HR and 195 kcal energy consumption on average. The present findings suggest that weekly setting of a 10-session long hatha yoga training leads to improvements in balance, flexibility and core muscle strength among healthy young women. However, for changes in BMI, body fat percentage, resting HR and HRV longer, and/or more intense interventions are needed.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 98%

Is Weekly Frequency of Yoga Practice Sufficient? Physiological Effects of Hatha Yoga Among Healthy Novice Women

Csala

Szemerszky

Körmendi

et al. 2021

Front. Public Health

Self Cite

View full text Add to dashboard Cite

show abstract

“…Along with the benefits of improved balance, mobility and executive functions necessary to address cognitive impairment, yoga offers a major benefit: it can be practiced at home, in an organized setting, alone or in a group. Yoga is ideally suited to self-learning as well (Boros et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Joint-angle-based yoga posture recognition for prevention of falls among older people

Chezhiyan

Deepalakshmi

2019

DTA

View full text Add to dashboard Cite

Purpose United Nations’ World Population Ageing Report states that falls are one of the most common problems in the elderly around the world. Falls are a leading cause of morbidity and mortality among mature adults, and the second leading cause of accidental or unintentional injury/death after road traffic injuries. The rates are higher in hospitalized patients and nursing home residents. Major contributing reasons for falling are loss of footing or traction, balance problem in carpets and rugs, reduced muscle strength, poor vision, mobility/gait, cognitive impairment: in other words lack of balance. Balance can be improved by the practice of yoga which helps to balance both body and mind through a series of physical postures called asanas, breathing control and meditation. Elders, especially women, are often unable to practice yoga regularly, largely brought on by a feeling of discomfort at having to do so in full public view, preferring instead to have private sessions at home, and at leisure. A computer-assisted self-learning system can be developed to help such elders, though improper training and the postures associated with it may harm the body’s muscles and ligaments. To have a flawless system it is essential to classify asanas, and identify the one the practitioner is currently practicing, following which the system can offer the guidance necessary. The purpose of this paper is to propose a posture recognition system, especially of sitting and standing postures. Asanas are chiefly classified into two: sitting and standing postures. This study helps to decide the values of the parameters for classification, which involve the hip and joint angles. Design/methodology/approach To model human bodies, skeleton parts such as head, neck (which are responsible for head movements), arms, hands (to decide on hand postures), and legs and feet (for standing posture identification) have been modeled and stored as a vector. Each feature is defined as a set of movable joints. Every interaction among the skeleton joints defines an action. Human skeletal information may be represented as a hierarchy of joints, in a parent–child relationship. So that whenever there is a change in joint its corresponding parent joint may also be altered. Findings The findings have to do with analyzing the reasons for falls in the elderly and their need for yoga as a precautionary measure. As yoga is ideally suited to self-assisted learning, it is feasible to design a system that assists people who do not wish to practice yoga in public. However, asanas are to be classified prior to doing so. In this paper, the authors have designed a posture identification framework comprising the sitting and standing postures that are fundamental to all yoga asanas, using joint angle measurements. Having fixed joint angle values is not possible, given the variations in angle values among the participants. Consequently, such parameters as the hip joint and knee angles are to be specified in range for a classification of asanas. Research limitations/implications This work identifies the angle limits of standing and sitting postures so as to design a self-assisting system for yoga. Yoga asanas are classified and tested to enable their accurate identification. Extensive testing with older people is needed to assess the system. Practical implications The increase in the population of the elderly, coupled with their need for medical care, is a major concern worldwide. As older people are reluctant to practice yoga in public, it is anticipated that the proposed system will motivate them to do so at their convenience, and in the seclusion of their homes. Social implications As older people are reluctant to adapt as well as practice yoga in public view, the proposal motivates and helps them to carry out yoga practices at their convenience. Originality/value This paper fulfills the initial study on the need and feasibility of creating a self-assisted yoga learning system. To identify postures and classify them joint angles are used; their range of motion has been calculated in order to set them as parameters of classification.

show abstract

A Posture Recognition System for Assisted Self-Learning of Yoga by Cognitive Impaired Older People for the Prevention of Falls

Ponmozhi

Deepalakshmi

2019

EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing

View full text Add to dashboard Cite

Yoga Practice for The Elderly: Good Choice to Avoid Falls

Cited by 3 publications

References 25 publications

Is Weekly Frequency of Yoga Practice Sufficient? Physiological Effects of Hatha Yoga Among Healthy Novice Women

Is Weekly Frequency of Yoga Practice Sufficient? Physiological Effects of Hatha Yoga Among Healthy Novice Women

Joint-angle-based yoga posture recognition for prevention of falls among older people

A Posture Recognition System for Assisted Self-Learning of Yoga by Cognitive Impaired Older People for the Prevention of Falls

Contact Info

Product

Resources

About