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Neighborhood Walkability, Income, and Hour-by-Hour Physical Activity Patterns.

Arvidsson, Daniel LU ; Eriksson, Ulf LU ; Larsson Lönn, Sara LU and Sundquist, Kristina LU (2013) In Medicine & Science in Sports & Exercise 45(4). p.698-705
Abstract
PURPOSE: To investigate both the mean daily physical activity and the hour by hour physical activity pattern across the day using accelerometry, and how they are associated with neighborhood walkability and individual income. METHODS: Moderate physical activity (MPA) was assessed by accelerometry in 2,252 adults in the City of Stockholm, Sweden. Neighborhood walkability (residential density, street connectivity, land use mix) was objectively assessed within 1,000m network buffers around the participants´ residence and individual income was self-reported. RESULTS: Living in a high walkability neighborhood was associated with more mean daily MPA compared with living in a low walkability neighborhood on weekdays and weekend days. Hour by hour... (More)
PURPOSE: To investigate both the mean daily physical activity and the hour by hour physical activity pattern across the day using accelerometry, and how they are associated with neighborhood walkability and individual income. METHODS: Moderate physical activity (MPA) was assessed by accelerometry in 2,252 adults in the City of Stockholm, Sweden. Neighborhood walkability (residential density, street connectivity, land use mix) was objectively assessed within 1,000m network buffers around the participants´ residence and individual income was self-reported. RESULTS: Living in a high walkability neighborhood was associated with more mean daily MPA compared with living in a low walkability neighborhood on weekdays and weekend days. Hour by hour analyses showed that this association appeared mainly in the afternoon/early evening during weekdays, while it appeared across the middle of the day during weekend days. Individual income was associated with mean daily MPA on weekend days. On weekdays, the hour by hour analyses showed that high income was associated with more MPA around noon and in late afternoon/early evening, while low income was associated with more MPA at the hours before noon and in the early afternoon. During the weekend, high income was more consistently associated with higher MPA. CONCLUSIONS: Hour by hour accelerometry physical activity patterns provides a more comprehensive picture of the associations between neighborhood walkability and individual income and physical activity and the variability of these associations across the day. (Less)
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author
; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Medicine & Science in Sports & Exercise
volume
45
issue
4
pages
698 - 705
publisher
Lippincott Williams & Wilkins
external identifiers
  • wos:000316410600012
  • pmid:23190585
  • scopus:84878861176
  • pmid:23190585
ISSN
1530-0315
DOI
10.1249/MSS.0b013e31827a1d05
language
English
LU publication?
yes
id
6c16289c-aed8-4acf-b732-039c94a66011 (old id 3218410)
alternative location
http://www.ncbi.nlm.nih.gov/pubmed/23190585?dopt=Abstract
date added to LUP
2016-04-01 10:51:48
date last changed
2020-07-22 01:19:44
@article{6c16289c-aed8-4acf-b732-039c94a66011,
  abstract     = {PURPOSE: To investigate both the mean daily physical activity and the hour by hour physical activity pattern across the day using accelerometry, and how they are associated with neighborhood walkability and individual income. METHODS: Moderate physical activity (MPA) was assessed by accelerometry in 2,252 adults in the City of Stockholm, Sweden. Neighborhood walkability (residential density, street connectivity, land use mix) was objectively assessed within 1,000m network buffers around the participants´ residence and individual income was self-reported. RESULTS: Living in a high walkability neighborhood was associated with more mean daily MPA compared with living in a low walkability neighborhood on weekdays and weekend days. Hour by hour analyses showed that this association appeared mainly in the afternoon/early evening during weekdays, while it appeared across the middle of the day during weekend days. Individual income was associated with mean daily MPA on weekend days. On weekdays, the hour by hour analyses showed that high income was associated with more MPA around noon and in late afternoon/early evening, while low income was associated with more MPA at the hours before noon and in the early afternoon. During the weekend, high income was more consistently associated with higher MPA. CONCLUSIONS: Hour by hour accelerometry physical activity patterns provides a more comprehensive picture of the associations between neighborhood walkability and individual income and physical activity and the variability of these associations across the day.},
  author       = {Arvidsson, Daniel and Eriksson, Ulf and Larsson Lönn, Sara and Sundquist, Kristina},
  issn         = {1530-0315},
  language     = {eng},
  number       = {4},
  pages        = {698--705},
  publisher    = {Lippincott Williams & Wilkins},
  series       = {Medicine & Science in Sports & Exercise},
  title        = {Neighborhood Walkability, Income, and Hour-by-Hour Physical Activity Patterns.},
  url          = {http://dx.doi.org/10.1249/MSS.0b013e31827a1d05},
  doi          = {10.1249/MSS.0b013e31827a1d05},
  volume       = {45},
  year         = {2013},
}