Development of an objectively measured walkability index for the Netherlands.
Built environment
Physical activity
Transport
Validation
Walkability
Journal
The international journal of behavioral nutrition and physical activity
ISSN: 1479-5868
Titre abrégé: Int J Behav Nutr Phys Act
Pays: England
ID NLM: 101217089
Informations de publication
Date de publication:
02 05 2022
02 05 2022
Historique:
received:
15
10
2021
accepted:
10
03
2022
entrez:
3
5
2022
pubmed:
4
5
2022
medline:
6
5
2022
Statut:
epublish
Résumé
Walkability indices have been developed and linked to behavioural and health outcomes elsewhere in the world, but not comprehensively for Europe. We aimed to 1) develop a theory-based and evidence-informed Dutch walkability index, 2) examine its cross-sectional associations with total and purpose-specific walking behaviours of adults across socioeconomic (SES) and urbanisation strata, 3) explore which walkability components drive these associations. Components of the index included: population density, retail and service density, land use mix, street connectivity, green space, sidewalk density and public transport density. Each of the seven components was calculated for three Euclidean buffers: 150 m, 500 m and 1000 m around every 6-digit postal code location and for every administrative neighbourhood in GIS. Componential z-scores were averaged, and final indices normalized between 0 and 100. Data on self-reported demographic characteristics and walking behaviours of 16,055 adult respondents (aged 18-65) were extracted from the Dutch National Travel Survey 2017. Using Tobit regression modelling adjusted for individual- and household-level confounders, we assessed the associations between walkability and minutes walking in total, for non-discretionary and discretionary purposes. By assessing the attenuation in associations between partial indices and walking outcomes, we identified which of the seven components drive these associations. We also tested for effect modification by urbanization degree, SES, age and sex. In fully adjusted models, a 10% increase in walkability was associated with a maximum increase of 8.5 min of total walking per day (95%CI: 7.1-9.9). This association was consistent across buffer sizes and purposes of walking. Public transport density was driving the index's association with walking outcomes. Stratified results showed that associations with minutes of non-discretionary walking were stronger in rural compared to very urban areas, in neighbourhoods with low SES compared to high SES, and in middle-aged (36-49 years) compared to young (18-35 years old) and older adults (50-65 years old). The walkability index was cross-sectionally associated with Dutch adult's walking behaviours, indicating its validity for further use in research.
Sections du résumé
BACKGROUND
Walkability indices have been developed and linked to behavioural and health outcomes elsewhere in the world, but not comprehensively for Europe. We aimed to 1) develop a theory-based and evidence-informed Dutch walkability index, 2) examine its cross-sectional associations with total and purpose-specific walking behaviours of adults across socioeconomic (SES) and urbanisation strata, 3) explore which walkability components drive these associations.
METHODS
Components of the index included: population density, retail and service density, land use mix, street connectivity, green space, sidewalk density and public transport density. Each of the seven components was calculated for three Euclidean buffers: 150 m, 500 m and 1000 m around every 6-digit postal code location and for every administrative neighbourhood in GIS. Componential z-scores were averaged, and final indices normalized between 0 and 100. Data on self-reported demographic characteristics and walking behaviours of 16,055 adult respondents (aged 18-65) were extracted from the Dutch National Travel Survey 2017. Using Tobit regression modelling adjusted for individual- and household-level confounders, we assessed the associations between walkability and minutes walking in total, for non-discretionary and discretionary purposes. By assessing the attenuation in associations between partial indices and walking outcomes, we identified which of the seven components drive these associations. We also tested for effect modification by urbanization degree, SES, age and sex.
RESULTS
In fully adjusted models, a 10% increase in walkability was associated with a maximum increase of 8.5 min of total walking per day (95%CI: 7.1-9.9). This association was consistent across buffer sizes and purposes of walking. Public transport density was driving the index's association with walking outcomes. Stratified results showed that associations with minutes of non-discretionary walking were stronger in rural compared to very urban areas, in neighbourhoods with low SES compared to high SES, and in middle-aged (36-49 years) compared to young (18-35 years old) and older adults (50-65 years old).
CONCLUSIONS
The walkability index was cross-sectionally associated with Dutch adult's walking behaviours, indicating its validity for further use in research.
Identifiants
pubmed: 35501815
doi: 10.1186/s12966-022-01270-8
pii: 10.1186/s12966-022-01270-8
pmc: PMC9063284
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
50Informations de copyright
© 2022. The Author(s).
Références
Am J Prev Med. 2005 Feb;28(2 Suppl 2):117-25
pubmed: 15694519
Int J Environ Res Public Health. 2019 Sep 19;16(18):
pubmed: 31546781
Int J Behav Nutr Phys Act. 2014 Aug 23;11:104
pubmed: 25148724
Health Place. 2010 Mar;16(2):175-90
pubmed: 19880341
Int J Behav Nutr Phys Act. 2014 Oct 24;11:132
pubmed: 25344355
Health Place. 2009 Dec;15(4):1130-41
pubmed: 19632875
Br J Sports Med. 2008 Apr;42(4):238-43
pubmed: 18048441
Int J Behav Nutr Phys Act. 2016 Feb 11;13:18
pubmed: 26867585
Int J Environ Res Public Health. 2020 Jan 21;17(3):
pubmed: 31973048
J Am Plann Assoc. 2017;83(3):296-314
pubmed: 31762526
Br J Sports Med. 2010 Oct;44(13):924-33
pubmed: 19406732
Health Promot Chronic Dis Prev Can. 2019 May;39(5):187-200
pubmed: 31091062
Int J Environ Res Public Health. 2018 Mar 03;15(3):
pubmed: 29510520
Health Place. 2014 Jan;25:43-6
pubmed: 24239702
Prev Med. 2020 Aug;137:106122
pubmed: 32389677
Eur J Nutr. 2020 Aug;59(5):2159-2169
pubmed: 31342227
Am J Epidemiol. 2019 Apr 1;188(4):785-795
pubmed: 30689686
J Urban Health. 2010 Sep;87(5):782-95
pubmed: 20814757
BMC Public Health. 2021 Jul 6;21(1):1323
pubmed: 34225681
BMJ Open. 2018 Jun 9;8(6):e021597
pubmed: 29886447
Int J Behav Nutr Phys Act. 2017 Nov 16;14(1):158
pubmed: 29145884
Eur J Public Health. 2017 Feb 1;27(1):145-151
pubmed: 28013244
Environ Res. 2021 Mar;194:110591
pubmed: 33359675
BMC Public Health. 2015 Aug 11;15:768
pubmed: 26260474
BMJ Open. 2020 Apr 28;10(4):e033941
pubmed: 32350013
Nutr Rev. 2001 Mar;59(3 Pt 2):S21-39; discussion S57-65
pubmed: 11330630
Int J Health Geogr. 2013 Dec 24;12:61
pubmed: 24365133
J Epidemiol Community Health. 2019 Jun;73(6):549-556
pubmed: 30944171
Int J Health Geogr. 2020 Nov 13;19(1):49
pubmed: 33187515
Int J Behav Nutr Phys Act. 2019 Dec 3;16(1):122
pubmed: 31796075
Int J Environ Res Public Health. 2020 Jan 15;17(2):
pubmed: 31952143
Environ Res. 2018 Jan;160:531-540
pubmed: 29106952
Soc Sci Med. 2002 Jun;54(12):1793-812
pubmed: 12113436
Am J Prev Med. 2013 Aug;45(2):202-6
pubmed: 23867028
PLoS One. 2017 Aug 07;12(8):e0182083
pubmed: 28787023
Int J Public Health. 2013 Aug;58(4):615-25
pubmed: 23224518
Int J Environ Res Public Health. 2019 Aug 28;16(17):
pubmed: 31466371
Health Place. 2021 May;69:102560
pubmed: 33756438
Med Sci Sports Exerc. 2008 Jul;40(7 Suppl):S550-66
pubmed: 18562973
Lancet Glob Health. 2018 Oct;6(10):e1077-e1086
pubmed: 30193830
Int J Environ Res Public Health. 2022 Apr 02;19(7):
pubmed: 35409927