Associations of neighborhood environmental attributes with adults' objectively-assessed sedentary time: IPEN adult multi-country study
Language English Country United States Media print-electronic
Document type Journal Article, Research Support, N.I.H., Extramural, Research Support, Non-U.S. Gov't, Research Support, U.S. Gov't, P.H.S.
Grant support
R01 CA127296
NCI NIH HHS - United States
Medical Research Council - United Kingdom
PubMed
30145352
DOI
10.1016/j.ypmed.2018.08.023
PII: S0091-7435(18)30254-8
Knihovny.cz E-resources
- Keywords
- Adults, Built environment, Sedentary behavior, Sitting time,
- MeSH
- Accelerometry statistics & numerical data MeSH
- Time Factors MeSH
- Global Health MeSH
- Residence Characteristics statistics & numerical data MeSH
- Walking statistics & numerical data MeSH
- Exercise MeSH
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Young Adult MeSH
- Cross-Sectional Studies MeSH
- Surveys and Questionnaires MeSH
- Sedentary Behavior * MeSH
- Aged, 80 and over MeSH
- Aged MeSH
- Built Environment statistics & numerical data MeSH
- Self Report MeSH
- Check Tag
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Young Adult MeSH
- Male MeSH
- Aged, 80 and over MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Research Support, N.I.H., Extramural MeSH
- Research Support, U.S. Gov't, P.H.S. MeSH
Neighborhood environmental attributes have been found to be associated with residents' time spent walking and in physical activity, in studies from single countries and in multiple-country investigations. There are, however, mixed findings on such environmental relationships with sedentary (sitting) time, which primarily have used evidence derived from single-country investigations with self-reported behavioral outcome measures. We examined potential relationships of neighborhood environmental attributes with objectively-assessed sedentary time using data from 5712 adults recruited from higher and lower socio-economic status neighborhoods in 12 sites in 10 countries, between 2002 and 2011. Ten perceived neighborhood attributes, derived from an internationally-validated scale, were assessed by questionnaire. Sedentary time was derived from hip-worn accelerometer data. Associations of individual environmental attributes and a composite environmental index with sedentary time were estimated using generalized additive mixed models. In fully adjusted models, higher street connectivity was significantly related to lower sedentary time. Residential density, pedestrian infrastructure and safety, and lack of barriers to walking were related to higher sedentary time. Aesthetics and safety from crime were related to less sedentary time in women only. The predicted difference in sedentary time between those with the minimum versus maximum composite environmental index values was 71 min/day. Overall, certain built environment attributes, including street connectivity, land use mix and aesthetics were found to be related to sedentary behavior in both expected and unexpected directions. Further research using context-specific measures of sedentary time is required to improve understanding of the potential role of built environment characteristics as influences on adults' sedentary behavior.
Centre for Research and Action in Public Health University of Canberra Canberra Australia
Department of Family and Preventive Medicine University of California San Diego USA
Department of Health Sciences Public University of Navarra Pamplona Spain
Department of Movement and Sport Sciences Ghent University Ghent Belgium
Department of Physiotherapy University of Maiduguri Maiduguri Nigeria
Department of Sport Sciences and Clinical Biomechanics University of Southern Denmark Odense Denmark
Faculty of Physical Culture Palacký Universitsy Olomouc Czech Republic
Human Potential Centre Auckland University of Technology Auckland New Zealand
Institute of Human Performance The University of Hong Kong Hong Kong China
Mary MacKillop Institute for Health Research Australian Catholic University Melbourne Australia
Universidad de los Andes Department of Public Health School of Medicine Bogotá Colombia
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