Practical Guide to Measuring Physical Activity

Sylvia, Louisa G.; Bernstein, Emily E.; Hubbard, Jane; Keating, Leigh; Anderson, Ellen J.

doi:10.1016/j.jand.2013.09.018

Cited by 401 publications

(384 citation statements)

References 119 publications

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“…However, they also have limitations including technical, practical and interpretational issues (28). Therefore, questionnaires are still the dominant method of physical activity assessment in epidemiological surveys due to their low cost and relatively low participant burden (28,29).…”

Section: Discussionmentioning

confidence: 99%

Obesity, physical activity and traumatic dental injuries in adolescents from East London

Aswathikutty

Marcenes

Stansfeld

et al. 2017

Dental Traumatology

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Section: Discussionmentioning

confidence: 99%

Obesity, physical activity and traumatic dental injuries in adolescents from East London

Aswathikutty

Marcenes

Stansfeld

et al. 2017

Dental Traumatology

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“…There are various approaches to measuring physical activity levels, including self-reported questionnaires, self-reported activity diaries, direct observation, accelerometers, and pedometers 26) . Among these, self-reported questionnaires have been the most used method in large-scale epidemiological research studies and busy outpatient clinics because of its feasibility for administration and despite its possible inaccuracy due to the recall process and inevitable intervening of subjective judgment.…”

Section: Discussionmentioning

confidence: 99%

Comparison Between Korean Version of Physical Activity Scale for the Elderly and International Physical Activity Questionnaire-Short Form in Evaluation of Frailty Phenotype

Jang¹,

Lee²,

Lee³

et al. 2017

Ann Geriatr Med Res

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Background: Evaluation of frailty in older people requires assessment of their physical activity level. The Korean version of the Physical Activity Scale for the Elderly (K-PASE) questionnaire is more comprehensive, yet it can be time-consuming and costly to administer on a large scale. The International Physical Activity Questionnaire (IPAQ) short form, which is simpler and free of charge, may replace the K-PASE for defining the Cardiovascular Health Study (CHS) frailty phenotype. Methods: We analyzed data from 160 community-dwelling older adults (mean age: 75 years) who were administered both the K-PASE and IPAQ short form questionnaires as part of the assessments in the Aging Study of Pyeongchang Rural Area. We compared agreements between the 2 physical activity questionnaires and between the CHS frailty phenotype defined using the K-PASE and IPAQ short form. Correlations between each CHS frailty phenotype definition and common geriatric syndromes were assessed. Results: The physical activity level measured using the K-PASE correlated modestly with the level measured using the IPAQ short form (correlation coefficient, 0.250; p=0.001). However, the agreement was substantially higher between the CHS frailty phenotype based on the K-PASE and the definition based on the IPAQ short form (Cohen kappa, 0.625; p<0.001). Both frailty phenotype definitions were positively correlated with most geriatric conditions. Conclusion: The simpler IPAQ short form may replace the more comprehensive K-PASE for assessing CHS frailty phenotype in older people. Our results should inform frailty assessment in research and clinical care settings.

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“…Measuring the heart rate is a valid option to estimate the effort which represents a work activity for an individual, although some limitations must be considered [18]. It is also important to consider that there are other factors influencing significantly, such as environmental conditions (temperature and humidity), weight, age, acclimation, mental stress, and personality [19].…”

Section: State Of the Artmentioning

confidence: 99%

A Fuzzy Logic-Based Personalized Method to Classify Perceived Exertion in Workplaces Using a Wearable Heart Rate Sensor

Pancardo

Hernández-Nolasco

Acosta

2018

Mobile Information Systems

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Knowing the perceived exertion of workers during their physical activities facilitates the decision-making of supervisors regarding the worker allocation in the appropriate job, actions to prevent accidents, and reassignment of tasks, among others. However, although wearable heart rate sensors represent an effective way to capture perceived exertion, ergonomic methods are generic and they do not consider the diffuse nature of the ranges that classify the efforts. Personalized monitoring is needed to enable a real and efficient classification of perceived individual efforts. In this paper, we propose a heart rate-based personalized method to assess perceived exertion; our method uses fuzzy logic as an option to manage imprecision and uncertainty in involved variables. We applied some experiments to cleaning staff and obtained results that highlight the importance of a custom method to classify perceived exertion of people doing physical work.

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Practical Guide to Measuring Physical Activity

Cited by 401 publications

References 119 publications

Obesity, physical activity and traumatic dental injuries in adolescents from East London

Obesity, physical activity and traumatic dental injuries in adolescents from East London

Comparison Between Korean Version of Physical Activity Scale for the Elderly and International Physical Activity Questionnaire-Short Form in Evaluation of Frailty Phenotype

A Fuzzy Logic-Based Personalized Method to Classify Perceived Exertion in Workplaces Using a Wearable Heart Rate Sensor

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