Correlates of walking and cycling for transport and recreation: factor structure, reliability and behavioural associations of the perceptions of the environment in the neighbourhood scale (PENS).

Correlates of walking and cycling for transport and recreation: factor structure, reliability and behavioural associations of the perceptions of the environment in the neighbourhood scale (PENS).
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DOI:
10.1186/1479-5868-10-87
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发表时间:
2013-07-02
期刊:
The international journal of behavioral nutrition and physical activity
影响因子:
--
通讯作者:
iConnect consortium
iConnect consortium
中科院分区:
其他
文献类型:
--
作者:
Adams EJ;Goodman A;Sahlqvist S;Bull FC;Ogilvie D;iConnect consortium

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新出现的证据表明,出于不同目的(如交通或娱乐)的步行和骑自行车可能与物理环境的不同属性有关。到目前为止,很少有研究考察这些特定行为的关联,特别是在英国。本文报告的发展,因素结构和重测信度的一个新的规模评估的看法,在附近的环境(PENS)和协会之间的环境和步行和骑自行车的交通和娱乐的看法。一个新的13个项目的规模,以评估成年人的看法,在附近的环境(PENS)。使用两个来源的数据进行了三组分析。使用iConnect基线调查的数据,使用探索性和验证性因素分析来识别一组汇总环境变量(n = 3494);使用在单独的信度研究中收集的数据(n = 166)建立单个和概括环境项目的重测信度;多变量逻辑回归分析被用来确定环境变量与步行交通,步行娱乐,骑自行车交通和骑自行车娱乐,使用iConnect基线调查数据(n = 2937)。确定了四个简要环境变量(交通安全,支持性基础设施,当地设施和社会秩序的可用性),一个单独的环境项目(街道连通性)和一个变量封装一般环境质量,用于进一步分析。这些环境变量的组内相关性范围从0.44到0.77,并与其他类似尺度中看到的相似。在调整人口和其他环境因素后,步行交通与支持性基础设施,当地设施的可用性和一般环境质量相关;步行娱乐与支持性基础设施相关;骑自行车交通仅与街道连通性相关。有有限的证据表明环境属性和骑自行车娱乐之间的任何关联。PENS是可以接受的,作为一个简短的工具来评估城市环境的看法。以前的研究结果,不同的属性的环境可能与不同的行为得到证实。为创造有利环境而采取的政策行动可能需要结合各种环境改善措施,以促进出于不同目的的步行和骑自行车。
Emerging evidence suggests that walking and cycling for different purposes such as transport or recreation may be associated with different attributes of the physical environment. Few studies to date have examined these behaviour-specific associations, particularly in the UK. This paper reports on the development, factor structure and test-retest reliability of a new scale assessing perceptions of the environment in the neighbourhood (PENS) and the associations between perceptions of the environment and walking and cycling for transport and recreation. A new 13-item scale was developed for assessing adults’ perceptions of the environment in the neighbourhood (PENS). Three sets of analyses were conducted using data from two sources. Exploratory and confirmatory factor analyses were used to identify a set of summary environmental variables using data from the iConnect baseline survey (n = 3494); test-retest reliability of the individual and summary environmental items was established using data collected in a separate reliability study (n = 166); and multivariable logistic regression was used to determine the associations of the environmental variables with walking for transport, walking for recreation, cycling for transport and cycling for recreation, using iConnect baseline survey data (n = 2937). Four summary environmental variables (traffic safety, supportive infrastructure, availability of local amenities and social order), one individual environmental item (street connectivity) and a variable encapsulating general environment quality were identified for use in further analyses. Intraclass correlations of these environmental variables ranged from 0.44 to 0.77 and were comparable to those seen in other similar scales. After adjustment for demographic and other environmental factors, walking for transport was associated with supportive infrastructure, availability of local amenities and general environment quality; walking for recreation was associated with supportive infrastructure; and cycling for transport was associated only with street connectivity. There was limited evidence of any associations between environmental attributes and cycling for recreation. PENS is acceptable as a short instrument for assessing perceptions of the urban environment. Previous findings that different attributes of the environment may be associated with different behaviours are confirmed. Policy action to create supportive environments may require a combination of environmental improvements to promote walking and cycling for different purposes.
DOI: 10.1080/10705519909540118
发表时间: 1999-01-01
影响因子: 6
作者:
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DOI: 10.1186/1476-069x-11-52
发表时间: 2012-08-03
期刊: Environmental health : a global access science source
影响因子: --
作者:
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通讯作者: iConnect consortium