Levels of domain-specific physical activity at work, in the household, for travel and for leisure among 327 789 adults from 104 countries

ObjectiveTo compare the country-level absolute and relative contributions of physical activity at work and in the household, for travel, and during leisure-time to total moderate-to-vigorous physical activity (MVPA).MethodsWe used data collected between 2002 and 2019 from 327 789 participants across...

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Veröffentlicht in:British journal of sports medicine Jg. 54; H. 24; S. 1488 - 1497
Hauptverfasser: Strain, Tessa, Wijndaele, Katrien, Garcia, Leandro, Cowan, Melanie, Guthold, Regina, Brage, Soren, Bull, Fiona C
Format: Journal Article
Sprache:Englisch
Veröffentlicht: England BMJ Publishing Group Ltd and British Association of Sport and Exercise Medicine 01.12.2020
BMJ Publishing Group LTD
BMJ Publishing Group
Schlagworte:
Activities of Daily Living
Adult
Age
Age Factors
Data processing
Economic development
epidemiology
Exercise
Female
Females
High income
Households
Humans
Leisure
Leisure Activities
Low income groups
Male
Middle Aged
Original Research
physical activity
Population
Questionnaires
Sex Factors
surveillance
Surveys and Questionnaires
Time Factors
Travel - statistics & numerical data
Trends
Work - statistics & numerical data
Benin
epidemiology
surveillance
physical activity
ISSN:0306-3674, 1473-0480, 1473-0480
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Abstract ObjectiveTo compare the country-level absolute and relative contributions of physical activity at work and in the household, for travel, and during leisure-time to total moderate-to-vigorous physical activity (MVPA).MethodsWe used data collected between 2002 and 2019 from 327 789 participants across 104 countries and territories (n=24 low, n=34 lower-middle, n=30 upper-middle, n=16 high-income) from all six World Health Organization (WHO) regions. We calculated mean min/week of work/household, travel and leisure MVPA and compared their relative contributions to total MVPA using Global Physical Activity Questionnaire data. We compared patterns by country, sex and age group (25–44 and 45–64 years).ResultsMean MVPA in work/household, travel and leisure domains across the 104 countries was 950 (IQR 618–1198), 327 (190–405) and 104 (51–131) min/week, respectively. Corresponding relative contributions to total MVPA were 52% (IQR 44%–63%), 36% (25%–45%) and 12% (4%–15%), respectively. Work/household was the highest contributor in 80 countries; travel in 23; leisure in just one. In both absolute and relative terms, low-income countries tended to show higher work/household (1233 min/week, 57%) and lower leisure MVPA levels (72 min/week, 4%). Travel MVPA duration was higher in low-income countries but there was no obvious pattern in the relative contributions. Women tended to have relatively less work/household and more travel MVPA; age groups were generally similar.ConclusionIn the largest domain-specific physical activity study to date, we found considerable country-level variation in how MVPA is accumulated. Such information is essential to inform national and global policy and future investments to provide opportunities to be active, accounting for country context.
AbstractList ObjectiveTo compare the country-level absolute and relative contributions of physical activity at work and in the household, for travel, and during leisure-time to total moderate-to-vigorous physical activity (MVPA).MethodsWe used data collected between 2002 and 2019 from 327 789 participants across 104 countries and territories (n=24 low, n=34 lower-middle, n=30 upper-middle, n=16 high-income) from all six World Health Organization (WHO) regions. We calculated mean min/week of work/household, travel and leisure MVPA and compared their relative contributions to total MVPA using Global Physical Activity Questionnaire data. We compared patterns by country, sex and age group (25–44 and 45–64 years).ResultsMean MVPA in work/household, travel and leisure domains across the 104 countries was 950 (IQR 618–1198), 327 (190–405) and 104 (51–131) min/week, respectively. Corresponding relative contributions to total MVPA were 52% (IQR 44%–63%), 36% (25%–45%) and 12% (4%–15%), respectively. Work/household was the highest contributor in 80 countries; travel in 23; leisure in just one. In both absolute and relative terms, low-income countries tended to show higher work/household (1233 min/week, 57%) and lower leisure MVPA levels (72 min/week, 4%). Travel MVPA duration was higher in low-income countries but there was no obvious pattern in the relative contributions. Women tended to have relatively less work/household and more travel MVPA; age groups were generally similar.ConclusionIn the largest domain-specific physical activity study to date, we found considerable country-level variation in how MVPA is accumulated. Such information is essential to inform national and global policy and future investments to provide opportunities to be active, accounting for country context.
To compare the country-level absolute and relative contributions of physical activity at work and in the household, for travel, and during leisure-time to total moderate-to-vigorous physical activity (MVPA).OBJECTIVETo compare the country-level absolute and relative contributions of physical activity at work and in the household, for travel, and during leisure-time to total moderate-to-vigorous physical activity (MVPA).We used data collected between 2002 and 2019 from 327 789 participants across 104 countries and territories (n=24 low, n=34 lower-middle, n=30 upper-middle, n=16 high-income) from all six World Health Organization (WHO) regions. We calculated mean min/week of work/household, travel and leisure MVPA and compared their relative contributions to total MVPA using Global Physical Activity Questionnaire data. We compared patterns by country, sex and age group (25-44 and 45-64 years).METHODSWe used data collected between 2002 and 2019 from 327 789 participants across 104 countries and territories (n=24 low, n=34 lower-middle, n=30 upper-middle, n=16 high-income) from all six World Health Organization (WHO) regions. We calculated mean min/week of work/household, travel and leisure MVPA and compared their relative contributions to total MVPA using Global Physical Activity Questionnaire data. We compared patterns by country, sex and age group (25-44 and 45-64 years).Mean MVPA in work/household, travel and leisure domains across the 104 countries was 950 (IQR 618-1198), 327 (190-405) and 104 (51-131) min/week, respectively. Corresponding relative contributions to total MVPA were 52% (IQR 44%-63%), 36% (25%-45%) and 12% (4%-15%), respectively. Work/household was the highest contributor in 80 countries; travel in 23; leisure in just one. In both absolute and relative terms, low-income countries tended to show higher work/household (1233 min/week, 57%) and lower leisure MVPA levels (72 min/week, 4%). Travel MVPA duration was higher in low-income countries but there was no obvious pattern in the relative contributions. Women tended to have relatively less work/household and more travel MVPA; age groups were generally similar.RESULTSMean MVPA in work/household, travel and leisure domains across the 104 countries was 950 (IQR 618-1198), 327 (190-405) and 104 (51-131) min/week, respectively. Corresponding relative contributions to total MVPA were 52% (IQR 44%-63%), 36% (25%-45%) and 12% (4%-15%), respectively. Work/household was the highest contributor in 80 countries; travel in 23; leisure in just one. In both absolute and relative terms, low-income countries tended to show higher work/household (1233 min/week, 57%) and lower leisure MVPA levels (72 min/week, 4%). Travel MVPA duration was higher in low-income countries but there was no obvious pattern in the relative contributions. Women tended to have relatively less work/household and more travel MVPA; age groups were generally similar.In the largest domain-specific physical activity study to date, we found considerable country-level variation in how MVPA is accumulated. Such information is essential to inform national and global policy and future investments to provide opportunities to be active, accounting for country context.CONCLUSIONIn the largest domain-specific physical activity study to date, we found considerable country-level variation in how MVPA is accumulated. Such information is essential to inform national and global policy and future investments to provide opportunities to be active, accounting for country context.
To compare the country-level absolute and relative contributions of physical activity at work and in the household, for travel, and during leisure-time to total moderate-to-vigorous physical activity (MVPA). We used data collected between 2002 and 2019 from 327 789 participants across 104 countries and territories (n=24 low, n=34 lower-middle, n=30 upper-middle, n=16 high-income) from all six World Health Organization (WHO) regions. We calculated mean min/week of work/household, travel and leisure MVPA and compared their relative contributions to total MVPA using Global Physical Activity Questionnaire data. We compared patterns by country, sex and age group (25-44 and 45-64 years). Mean MVPA in work/household, travel and leisure domains across the 104 countries was 950 (IQR 618-1198), 327 (190-405) and 104 (51-131) min/week, respectively. Corresponding relative contributions to total MVPA were 52% (IQR 44%-63%), 36% (25%-45%) and 12% (4%-15%), respectively. Work/household was the highest contributor in 80 countries; travel in 23; leisure in just one. In both absolute and relative terms, low-income countries tended to show higher work/household (1233 min/week, 57%) and lower leisure MVPA levels (72 min/week, 4%). Travel MVPA duration was higher in low-income countries but there was no obvious pattern in the relative contributions. Women tended to have relatively less work/household and more travel MVPA; age groups were generally similar. In the largest domain-specific physical activity study to date, we found considerable country-level variation in how MVPA is accumulated. Such information is essential to inform national and global policy and future investments to provide opportunities to be active, accounting for country context.
Author Strain, Tessa
Garcia, Leandro
Bull, Fiona C
Wijndaele, Katrien
Cowan, Melanie
Brage, Soren
Guthold, Regina
AuthorAffiliation 1 MRC Epidemiology Unit , University of Cambridge , Cambridge , UK
3 Centre for Public Health , Queen's University Belfast , Belfast , UK
6 Department of Health Promotion, Division of Universal Health Coverage and Healthier Populations , World Health Organization , Geneva , Switzerland
5 Maternal, Newborn, Child, and Adolescent Health and Ageing Department , World Health Organization , Geneva , Switzerland
2 Physical Activity for Health Research Centre , University of Edinburgh , Edinburgh , UK
4 Department of Noncommunicable Diseases , World Health Organization , Geneva , Switzerland
7 Physical Activity Unit , The University of Western Australia , Perth , Western Australia , Australia
AuthorAffiliation_xml – name: 2 Physical Activity for Health Research Centre , University of Edinburgh , Edinburgh , UK
– name: 3 Centre for Public Health , Queen's University Belfast , Belfast , UK
– name: 4 Department of Noncommunicable Diseases , World Health Organization , Geneva , Switzerland
– name: 1 MRC Epidemiology Unit , University of Cambridge , Cambridge , UK
– name: 6 Department of Health Promotion, Division of Universal Health Coverage and Healthier Populations , World Health Organization , Geneva , Switzerland
– name: 5 Maternal, Newborn, Child, and Adolescent Health and Ageing Department , World Health Organization , Geneva , Switzerland
– name: 7 Physical Activity Unit , The University of Western Australia , Perth , Western Australia , Australia
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  orcidid: 0000-0002-7086-1047
  surname: Strain
  fullname: Strain, Tessa
  email: tessa.strain@mrc
  organization: Physical Activity for Health Research Centre, University of Edinburgh, Edinburgh, UK
– sequence: 2
  givenname: Katrien
  orcidid: 0000-0003-2199-7981
  surname: Wijndaele
  fullname: Wijndaele, Katrien
  organization: MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
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  orcidid: 0000-0001-5947-2617
  surname: Garcia
  fullname: Garcia, Leandro
  organization: Centre for Public Health, Queen's University Belfast, Belfast, UK
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  surname: Cowan
  fullname: Cowan, Melanie
  organization: Department of Noncommunicable Diseases, World Health Organization, Geneva, Switzerland
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  orcidid: 0000-0003-3073-6468
  surname: Guthold
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  orcidid: 0000-0002-1265-7355
  surname: Brage
  fullname: Brage, Soren
  organization: MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
– sequence: 7
  givenname: Fiona C
  orcidid: 0000-0001-8035-4973
  surname: Bull
  fullname: Bull, Fiona C
  organization: Physical Activity Unit, The University of Western Australia, Perth, Western Australia, Australia
BackLink https://www.ncbi.nlm.nih.gov/pubmed/33239355$$D View this record in MEDLINE/PubMed
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ContentType Journal Article
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ISSN 0306-3674
1473-0480
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Issue 24
Keywords epidemiology
surveillance
physical activity
Language English
License This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.
Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ.
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content type line 14
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content type line 23
SB and FCB are joint senior authors.
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PublicationTitle British journal of sports medicine
PublicationTitleAbbrev Br J Sports Med
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Snippet ObjectiveTo compare the country-level absolute and relative contributions of physical activity at work and in the household, for travel, and during...
To compare the country-level absolute and relative contributions of physical activity at work and in the household, for travel, and during leisure-time to...
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proquest
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bmj
SourceType Open Access Repository
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Index Database
Enrichment Source
Publisher
StartPage 1488
SubjectTerms Activities of Daily Living
Adult
Age
Age Factors
Data processing
Economic development
epidemiology
Exercise
Female
Females
High income
Households
Humans
Leisure
Leisure Activities
Low income groups
Male
Middle Aged
Original Research
physical activity
Population
Questionnaires
Sex Factors
surveillance
Surveys and Questionnaires
Time Factors
Travel - statistics & numerical data
Trends
Work - statistics & numerical data
Title Levels of domain-specific physical activity at work, in the household, for travel and for leisure among 327 789 adults from 104 countries
URI https://bjsm.bmj.com/content/54/24/1488.full
https://www.ncbi.nlm.nih.gov/pubmed/33239355
https://www.proquest.com/docview/2464301673
https://www.proquest.com/docview/2464604242
https://pubmed.ncbi.nlm.nih.gov/PMC7719912
Volume 54
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