ARCHETYPE Physical activity (openEHR-EHR-OBSERVATION.physical_activity.v0)

ARCHETYPE IDopenEHR-EHR-OBSERVATION.physical_activity.v0
ConceptPhysical activity
DescriptionMeasurement of the actual physical activity of an individual.
UseUse to record actual physical activity level of children and adults at a specified point in time or over a specified period of time. Please note: There is some apparent overlap between the 'Physical activity category' data element in this archetype and the 'Physical activity level (PAL) status' data element in EVALUATION.physical_activity_summary archetype - they both use the same value set. Use this archetype when recording the category at a specified point in time or during a specified period of time, however if the intent is to record the typical activity as a summative statement then use the equivalent data point in the EVALUATION.physical_activity_summary. It is anticipated that this archetype will be further enhanced to record activity-specific data.
MisuseNot to be used to record typical activity or summative data about physical activity. Use the EVALUATION.physical_activity_summary for this purpose.
PurposeTo record actual physical activity level of an individual at a specified point in time or over a specified period of time.
ReferencesFerreira, M; Matsudo, S; Matsudo, V; Braggion, G. Efeitos de um programa de orientação de atividade física e nutricional sobre o nivel de atividade fisica de mulheres fisicamente ativas de 50-72 anos de idade. Rev Bras Med Esporte, v.11, n.3, 2005.

Silva, GSF; Bergamashine, R; Rosa, M. et al. Avaliação do nível de atividade física de estudantes de graduação das áreas saúde/biológica. Rev Bras Med Esporte; v.13, n.1 2007.

Pitta, F; Troosters, T; Probst, VS; et al. Quantifying physical activity in daily life with questionnaires and motion sensors in COPD. Eur Respir J, 27; p.1140-55, 2006.
Copyright© openEHR Foundation
AuthorsAuthor name: Priscila Maranhão; Gustavo Bacelar
Organisation: MEDCIDS-FMUP; VIRTUAL CARE
Email: priscilamaranhao@gmail.com; gbacelar@gmail.com
Date originally authored: 2017-01-02
Other Details LanguageAuthor name: Priscila Maranhão; Gustavo Bacelar
Organisation: MEDCIDS-FMUP; VIRTUAL CARE
Email: priscilamaranhao@gmail.com; gbacelar@gmail.com
Date originally authored: 2017-01-02
Other Details (Language Independent)
  • Licence: This work is licensed under the Creative Commons Attribution-ShareAlike 3.0 License. To view a copy of this license, visit http://creativecommons.org/licenses/by-sa/3.0/.
  • Custodian Organisation: openEHR Foundation
  • References: Ferreira, M; Matsudo, S; Matsudo, V; Braggion, G. Efeitos de um programa de orientação de atividade física e nutricional sobre o nivel de atividade fisica de mulheres fisicamente ativas de 50-72 anos de idade. Rev Bras Med Esporte, v.11, n.3, 2005. Silva, GSF; Bergamashine, R; Rosa, M. et al. Avaliação do nível de atividade física de estudantes de graduação das áreas saúde/biológica. Rev Bras Med Esporte; v.13, n.1 2007. Pitta, F; Troosters, T; Probst, VS; et al. Quantifying physical activity in daily life with questionnaires and motion sensors in COPD. Eur Respir J, 27; p.1140-55, 2006.
  • Current Contact: Heather Leslie, Ocean Health Systems
  • Original Namespace: org.openehr
  • Original Publisher: openEHR Foundation
  • Custodian Namespace: org.openehr
  • MD5-CAM-1.0.1: 3AFADE25D0EE7E029ECDA5583F77B552
  • Build Uid: eed4f9db-ff38-4cd0-a3cd-06dd9f3c893b
  • Revision: 0.0.1-alpha
Keywordsexercise, activity, physical, fitness
Lifecyclein_development
UID440ff8c6-a6d4-4001-bcfb-34590b8e15d6
Language useden
Citeable Identifier1246.145.2627
Revision Number0.0.1-alpha
protocol
TechniquesTechniques: Details of the techiniques used to assess the body part.
  • Direct Observation [Is carried out by observers who watch or videotape activies performed by the subjects and quantify them.]
  • Questionnaires [Quantifying physical activity in daily life through questionnaire and diaries has the advantage of being inexpensive and easy to apply. E.g.: International physical activity questionnaire; Physical activity questionnaire by Crocker et al. 1997; Behavioral risk factor surveillance system, etc.]
  • Motion sensors [Electronic or mechanical methods (Motion sensors are instruments used to detect body movement which can be used to objectively quantify physical activity in daily life over a period.]
ExclusionExclusion: Additional information required to capture local content or to align with other reference models/formalisms.
For example: local information requirements or additional metadata to align with FHIR or CIMI equivalents.
Include:
All not explicitly excluded archetypes
data
Physical activity level (PAL)Physical activity level (PAL): Calculated physical activity level (PAL) of an individual.
Property: Qualified real
Units: >=0.0
Limit decimal places: 2
Physical activity categoryPhysical activity category: The category of the physical activity level (PAL) of an individual.
Note: This data element is to be used when recording the category at a specified point in time or during a specified period of time. If the intent is to record the typical activity as a summative statement then use the similar data point in the EVALUATION.physical_activity_summary.
Choice of:
  •  Coded Text
    • Extremely inactive [The individual is extremely inactive, for example a bedridden patient.]
    • Sedentary [The individual spends most of their time sitting, for example an office worker getting little or no exercise.]
    • Moderately active [The individual is moerately active, for example a construction worker or a person running one hour daily.]
    • Vigorously active [The individual is very active, for example a manual labourer or a person swimming two hours daily.]
    • Extremely active [The individual is extremely active, for example a competitive cyclist.]
  •  Text
events
Any eventAny event: Default, unspecified point in time or interval event which may be explicitly defined in a template or at run-time.
Other contributorsRicardo Correia, Portugal
Pedro Marques, Portugal
Duarte Ferreira, Portugal
Heather Leslie, Ocean Informatics, Australia
Translators