<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet href="/rss.css" type="text/css"?>
<rdf:RDF xmlns="http://purl.org/rss/1.0/"
    xmlns:cc="http://web.resource.org/cc/"
    xmlns:dc="http://purl.org/dc/elements/1.1/"
    xmlns:extra="http://www.w3.org/1999/xhtml"
    xmlns:prism="http://prismstandard.org/namespaces/1.2/basic/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#">
    <channel rdf:about="http://www.ijbnpa.org/feeds/latestarticles/journal?quantity=&amp;format=rss&amp;version=">
        <title>International Journal of Behavioral Nutrition and Physical Activity - Latest Articles</title>
        <link>http://www.ijbnpa.org</link>
        <description>The latest research articles published by International Journal of Behavioral Nutrition and Physical Activity</description>
        <dc:date>2010-07-28T00:00:00Z</dc:date>
        <items>
            <rdf:Seq>
                                <rdf:li rdf:resource="http://www.ijbnpa.org/content/7/1/59" />
                                <rdf:li rdf:resource="" />
                                <rdf:li rdf:resource="http://www.ijbnpa.org/content/7/1/57" />
                                <rdf:li rdf:resource="http://www.ijbnpa.org/content/7/1/56" />
                                <rdf:li rdf:resource="http://www.ijbnpa.org/content/7/1/55" />
                                <rdf:li rdf:resource="http://www.ijbnpa.org/content/7/1/54" />
                                <rdf:li rdf:resource="http://www.ijbnpa.org/content/7/1/53" />
                                <rdf:li rdf:resource="http://www.ijbnpa.org/content/7/1/52" />
                                <rdf:li rdf:resource="http://www.ijbnpa.org/content/7/1/51" />
                                <rdf:li rdf:resource="http://www.ijbnpa.org/content/7/1/50" />
                            </rdf:Seq>
        </items>
        <extra:info rdf:parseType="Literal">
            <html:div style="font:14px Verdana, Geneva, Arial, Helvetica, sans-serif" xmlns:html="http://www.w3.org/1999/xhtml">
                <html:span style="font-weight:bold">
                    This is an RSS newsfeed from BioMed Central
                </html:span>
                <html:br />
                <html:span style="font-size: 12px;">
                    It is intended to be used with an RSS reader. For more information about RSS newsfeeds from BioMed Central, visit
                    <html:br />
                    <html:a href="http://www.biomedcentral.com/info/about/rss/" style="color:#3333CC; font-size:12px;">
                        http://www.biomedcentral.com/info/about/rss/
                    </html:a>
                    <html:br />
                </html:span>
            </html:div>
        </extra:info>
        <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
    </channel>
        <item rdf:about="http://www.ijbnpa.org/content/7/1/59">
        <title>Physical activity and sedentary behaviour typologies of 10-11 year olds </title>
        <description>Background:
Targeted interventions may be more effective at increasing children&apos;s physical activity.  The aim of this study was to identify clusters of children based on  physical activity and sedentary patterns across the week.
Methods:
Participants were 761, 10-11 year old children.  Participant&apos;s self-reported time spent in eight physical activity and sedentary contexts and wore an accelerometer. Cluster analysis was conducted on the time spent in the self-reported physical activity and sedentary contexts. Mean minutes of accelerometer derived of moderate to vigorous physical activity (MVPA) and sedentary time were derived for the entire week, weekdays only, weekend days and four different time periods across each type (weekend or weekday) of days. Differences in the physical activity patterns of the groups derived from the cluster analysis were assessed for overall physical activity as well as for the four time periods on weekdays and weekend days.
Results:
Three clusters emerged: 1) High active/Low sedentary; 2) Low active/Moderate sedentary; and 3) High Active/High sedentary. Patterns of activity differed across the week for each group and the High Active/High sedentary obtained the most minutes of MVPA.
Conclusions:
Patterns of physical activity and sedentary time differed across the week for each cluster. Interventions could be targeted to the key periods when each group is inactive.</description>
        <link>http://www.ijbnpa.org/content/7/1/59</link>
                <dc:creator>Russell Jago</dc:creator>
                <dc:creator>Kenneth Fox</dc:creator>
                <dc:creator>Angie Page</dc:creator>
                <dc:creator>Rowan Brockman</dc:creator>
                <dc:creator>Janice Thompson</dc:creator>
                <dc:source>International Journal of Behavioral Nutrition and Physical Activity 2010, 7:59</dc:source>
        <dc:date>2010-07-28T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1479-5868-7-59</dc:identifier>
        <prism:publicationName>International Journal of Behavioral Nutrition and Physical Activity</prism:publicationName>
        <prism:issn>1479-5868</prism:issn>
        <prism:volume>7</prism:volume>
        <prism:startingPage>59</prism:startingPage>
        <prism:publicationDate>2010-07-28T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>PDF</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
    </item>
        <item rdf:about="">
        <title>The active commuting route environment scale (ACRES): development and evaluation</title>
        <description>Background:
Route environments can be a potentially important factor in influencing people&apos;s behaviours in relation to active commuting. To better understand these possible relationships, assessments of route environments are needed. We therefore developed a scale; the Active Commuting Route Environment Scale (ACRES), for the assessment of bicyclists&apos; and pedestrians&apos; perceptions of their commuting route environments. Here we will report on the development and the results of validity and reliability assessments thereof.
Methods:
Active commuters (n = 54) were recruited when they bicycled in Stockholm, Sweden. Traffic planning and environmental experts from the Municipality of Stockholm were assembled to form an expert panel (n = 24). The active commuters responded to the scale on two occasions, and the expert panel responded to it once. To test criterion-related validity, differences in ratings of the inner urban and suburban environments of Greater Stockholm were compared between the experts and the commuters. Furthermore, four items were compared with existing objective measures. Test-retest reproducibility was assessed with three types of analysis: order effect, typical error and intraclass correlation.
Results:
There was a concordance in sizes and directions of differences in ratings of inner urban and suburban environments between the experts and the commuters. Furthermore, both groups&apos; ratings were in line with existing objectively measured differences between the two environmental settings. Order effects between test and retest were observed in 6 of 36 items. The typical errors ranged from 0.93 to 2.54, and the intraclass correlation coefficients ranged from &apos;moderate&apos; (0.42) to &apos;almost perfect&apos; (0.87).
Conclusions:
The ACRES was characterized by considerable criterion-related validity and reasonable test-retest reproducibility.</description>
        <link></link>
                <dc:creator>Lina Wahlgren</dc:creator>
                <dc:creator>Erik Stigell</dc:creator>
                <dc:creator>Peter Schantz</dc:creator>
                <dc:source>International Journal of Behavioral Nutrition and Physical Activity 2010, 7:58</dc:source>
        <dc:date>2010-07-07T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1479-5868-7-58</dc:identifier>
        <prism:publicationName>International Journal of Behavioral Nutrition and Physical Activity</prism:publicationName>
        <prism:issn>1479-5868</prism:issn>
        <prism:volume>7</prism:volume>
        <prism:startingPage>58</prism:startingPage>
        <prism:publicationDate>2010-07-07T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>PDF</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
    </item>
        <item rdf:about="http://www.ijbnpa.org/content/7/1/57">
        <title>A longitudinal and cross-sectional examination of the relationship between reasons for choosing a neighborhood, physical activity and body mass index </title>
        <description>Background:
The purpose of this study was to examine the relationship between body mass index and neighborhood walkability, socioeconomic status (SES), reasons for choosing neighborhoods, physical activity, fruit and vegetable intake, and demographic variables.
Methods:
Two studies, one longitudinal and one cross-sectional, were conducted. Participants included adults (n = 572) who provided complete data in 2002 and 2008 and a concurrent sample from 2008 (n = 1164). Data were collected with longitudinal and cross-sectional telephone surveys. Objective measures of neighborhood characteristics (walkability and SES) were calculated using census data and geographic information.
Results:
In the longitudinal study, neighborhood choice for ease of walking and proximity to outdoor recreation interacted with whether participants had moved during the course of study to predict change in BMI over 6 years. Age, change in activity status, and neighborhood SES were also significant predictors of BMI change. Cross-sectionally, neighborhood SES and neighborhood choice for ease of walking were significantly related to BMI as were gender, age, activity level and fruit and vegetable intake.
Conclusions:
Results demonstrate that placing importance on choosing neighborhoods that are considered to be easily walkable is an important contributor to body weight. Findings that objectively measured neighbourhood SES and neighborhood choice variables contributed to BMI suggest that future research consider the role of neighborhood choice in examining the relationships between the built environment and body weight.</description>
        <link>http://www.ijbnpa.org/content/7/1/57</link>
                <dc:creator>Tanya Berry</dc:creator>
                <dc:creator>John Spence</dc:creator>
                <dc:creator>Chris Blanchard</dc:creator>
                <dc:creator>Nicoleta Cutumisu</dc:creator>
                <dc:creator>Joy Edwards</dc:creator>
                <dc:creator>Genevieve Selfridge</dc:creator>
                <dc:source>International Journal of Behavioral Nutrition and Physical Activity 2010, 7:57</dc:source>
        <dc:date>2010-07-05T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1479-5868-7-57</dc:identifier>
        <prism:publicationName>International Journal of Behavioral Nutrition and Physical Activity</prism:publicationName>
        <prism:issn>1479-5868</prism:issn>
        <prism:volume>7</prism:volume>
        <prism:startingPage>57</prism:startingPage>
        <prism:publicationDate>2010-07-05T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>XML</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
    </item>
        <item rdf:about="http://www.ijbnpa.org/content/7/1/56">
        <title>Reliability and validity of brief psychosocial measures related to dietary behaviors</title>
        <description>Background:
Measures of psychosocial constructs are required to assess dietary interventions. This study evaluated brief psychosocial scales related to 4 dietary behaviors (consumption of fat, fiber/whole grains, fruits, and vegetables).
Methods:
Two studies were conducted. Study 1 assessed two-week reliability of the psychosocial measures with a sample of 49 college students. Study 2 assessed convergent and discriminant validity of the psychosocial measures with dietary nutrient estimates from a Food Frequency Questionnaire on 441 men and 401 women enrolled in an Internet-based weight loss intervention study.
Results:
Study 1 test-retest reliability ICCs were strong and ranged from .63 to .79. In study 2, dietary fat cons, fiber/whole grain cons and self-efficacy, fruit and vegetable cons and self-efficacy, and healthy eating social support, environmental factors, enjoyment, and change strategies demonstrated adequate correlations with the corresponding dietary nutrient estimates.
Conclusions:
Brief psychosocial measures related to dietary behaviors demonstrated adequate reliability and in most cases validity. The strongest and most consistent scales related to dietary behaviors were healthy eating change strategies and enjoyment. Consistent convergent validity was also found for the cons of change scales. These measures can be used in intervention studies to evaluate psychosocial mediators of dietary change in overweight and obese individuals.</description>
        <link>http://www.ijbnpa.org/content/7/1/56</link>
                <dc:creator>Gregory Norman</dc:creator>
                <dc:creator>Jordan Carlson</dc:creator>
                <dc:creator>James Sallis</dc:creator>
                <dc:creator>Nicole Wagner</dc:creator>
                <dc:creator>Karen Calfas</dc:creator>
                <dc:creator>Kevin Patrick</dc:creator>
                <dc:source>International Journal of Behavioral Nutrition and Physical Activity 2010, 7:56</dc:source>
        <dc:date>2010-07-02T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1479-5868-7-56</dc:identifier>
        <prism:publicationName>International Journal of Behavioral Nutrition and Physical Activity</prism:publicationName>
        <prism:issn>1479-5868</prism:issn>
        <prism:volume>7</prism:volume>
        <prism:startingPage>56</prism:startingPage>
        <prism:publicationDate>2010-07-02T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>XML</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
    </item>
        <item rdf:about="http://www.ijbnpa.org/content/7/1/55">
        <title>Maternal feeding practices, child eating behaviour and body mass index in preschool-aged children: a prospective analysis</title>
        <description>Background:
Previous research has found associations between parental feeding practices and children&apos;s eating behaviour and weight status. Prospective research is needed to elucidate these relationships.
Methods:
One hundred and fifty-six mothers of 2- to 4-year-old children completed questionnaires including measures of maternal feeding practices (pressure to eat, restriction, monitoring and modelling of healthy eating), child eating behaviour (food responsiveness, food fussiness and interest in food), and mother reported child height and weight. The questionnaire was repeated 12 months later. Regression analyses were used to find longitudinal associations between maternal feeding practices, child eating behaviour and child body mass index (BMI).
Results:
Modelling of healthy eating predicted lower child food fussiness and higher interest in food one year later, and pressure to eat predicted lower child interest in food. Restriction did not predict changes in child eating behaviour. Maternal feeding practices did not prospectively predict child food responsiveness or child BMI.
Conclusion:
Maternal feeding practices appear to influence young children&apos;s eating behaviour but not weight status in the short term.</description>
        <link>http://www.ijbnpa.org/content/7/1/55</link>
                <dc:creator>Jane Gregory</dc:creator>
                <dc:creator>Susan Paxton</dc:creator>
                <dc:creator>Anna Brozovic</dc:creator>
                <dc:source>International Journal of Behavioral Nutrition and Physical Activity 2010, 7:55</dc:source>
        <dc:date>2010-06-28T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1479-5868-7-55</dc:identifier>
        <prism:publicationName>International Journal of Behavioral Nutrition and Physical Activity</prism:publicationName>
        <prism:issn>1479-5868</prism:issn>
        <prism:volume>7</prism:volume>
        <prism:startingPage>55</prism:startingPage>
        <prism:publicationDate>2010-06-28T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>XML</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
    </item>
        <item rdf:about="http://www.ijbnpa.org/content/7/1/54">
        <title>Validation of the historical adulthood physical activity questionnaire (HAPAQ) against objective measurements of physical activity</title>
        <description>Background:
Lifetime physical activity energy expenditure (PAEE) is an important determinant of risk for many chronic diseases but remains challenging to measure. Previously reported historical physical activity (PA) questionnaires appear to be reliable, but their validity is less well established.
Methods:
We sought to design and validate an historical adulthood PA questionnaire (HAPAQ) against objective PA measurements from the same individuals. We recruited from a population-based cohort in Cambridgeshire, UK, (Medical Research Council Ely Study) in whom PA measurements, using individually calibrated heart rate monitoring, had been obtained in the past, once between 1994 and 1996 and once between 2000 and 2002. 100 individuals from this cohort attended for interview. Historical PA within the domains of home, work, transport, sport and exercise was recalled using the questionnaire by asking closed questions repeated for several discrete time periods from the age of 20 years old to their current age. The average PAEE from the 2 periods of objective measurements was compared to the self-reported data from the corresponding time periods in the questionnaire.
Results:
Significant correlations were observed between HAPAQ-derived and objectively measured total PAEE for both time periods (Spearman r = 0.44; P &lt; 0.001). Similarly, self-reported time spent in vigorous PA was significantly correlated with objective measurements of vigorous PA (Spearman r = 0.40; P &lt; 0.001).
Conclusions:
HAPAQ demonstrates convergent validity for total PAEE and vigorous PA. This instrument will be useful for ranking individuals according to their past PA in studies of chronic disease aetiology, where activity may be an important underlying factor contributing to disease pathogenesis.</description>
        <link>http://www.ijbnpa.org/content/7/1/54</link>
                <dc:creator>Herve Besson</dc:creator>
                <dc:creator>Ceryl Harwood</dc:creator>
                <dc:creator>Ulf Ekelund</dc:creator>
                <dc:creator>Francis Finucane</dc:creator>
                <dc:creator>Christopher McDermott</dc:creator>
                <dc:creator>Pamela Shaw</dc:creator>
                <dc:creator>Nicholas Wareham</dc:creator>
                <dc:source>International Journal of Behavioral Nutrition and Physical Activity 2010, 7:54</dc:source>
        <dc:date>2010-06-24T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1479-5868-7-54</dc:identifier>
        <prism:publicationName>International Journal of Behavioral Nutrition and Physical Activity</prism:publicationName>
        <prism:issn>1479-5868</prism:issn>
        <prism:volume>7</prism:volume>
        <prism:startingPage>54</prism:startingPage>
        <prism:publicationDate>2010-06-24T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>XML</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
    </item>
        <item rdf:about="http://www.ijbnpa.org/content/7/1/53">
        <title>Issues in accelerometer methodology: the role of epoch length on estimates of physical activity and relationships with health outcomes in overweight, post-menopausal women</title>
        <description>Background:
Current accelerometer technology allows for data collection using brief time sampling intervals (i.e., epochs). The study aims were to examine the role of epoch length on physical activity estimates and subsequent relationships with clinically-meaningful health outcomes in post-menopausal women.
Methods:
Data was obtained from the Woman On the Move through Activity and Nutrition Study (n = 102). Differences in activity estimates presented as 60s and 10s epochs were evaluated using paired t-tests. Relationships with health outcomes were examined using correlational and regression analyses to evaluate differences by epoch length.
Results:
Inactivity, moderate- and vigorous-intensity activity (MVPA) were significantly higher and light-intensity activity was significantly lower (all P &lt; 0.001) when presented as 10s epochs. The correlation between inactivity and self-reported physical activity was stronger with 10s estimates (P &lt; 0.03); however, the regression slopes were not significantly different. Conversely, relationships between MVPA and body weight, BMI, whole body and trunk lean and fat mass, and femoral neck bone mineral density was stronger with 60s estimates (all P &lt; 0.05); however, regression slopes were similar.
Conclusion:
These findings suggest that although the use of a shorter time sampling interval may suggestively reduce misclassification error of physical activity estimates, associations with health outcomes did not yield strikingly different results. Additional studies are needed to further our understanding of the ways in which epoch length contributes to the ascertainment of physical activity in research studies.Trial RegistrationClinical Trials Identifier: NCT00023543</description>
        <link>http://www.ijbnpa.org/content/7/1/53</link>
                <dc:creator>Kelley Pettee Gabriel</dc:creator>
                <dc:creator>James McClain</dc:creator>
                <dc:creator>Kendra Schmid</dc:creator>
                <dc:creator>Kristi Storti</dc:creator>
                <dc:creator>Robin High</dc:creator>
                <dc:creator>Darcy Underwood</dc:creator>
                <dc:creator>Lewis Kuller</dc:creator>
                <dc:creator>Andrea Kriska</dc:creator>
                <dc:source>International Journal of Behavioral Nutrition and Physical Activity 2010, 7:53</dc:source>
        <dc:date>2010-06-15T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1479-5868-7-53</dc:identifier>
        <prism:publicationName>International Journal of Behavioral Nutrition and Physical Activity</prism:publicationName>
        <prism:issn>1479-5868</prism:issn>
        <prism:volume>7</prism:volume>
        <prism:startingPage>53</prism:startingPage>
        <prism:publicationDate>2010-06-15T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>XML</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
    </item>
        <item rdf:about="http://www.ijbnpa.org/content/7/1/52">
        <title>Measuring the neighborhood environment: associations with young girls&apos; energy intake and expenditure in a cross-sectional study</title>
        <description>Background:
Neighborhood environments affect children&apos;s health outcomes. Observational methods used to assess neighborhoods can be categorized as indirect, intermediate, or direct. Direct methods, involving in-person audits of the neighborhoods conducted by trained observers, are recognized as an accurate representation of current neighborhood conditions. The authors investigated the associations of various neighborhood characteristics with young girls&apos; diet and physical activity.
Methods:
This study is based on a subset of participants in the Cohort Study of Young Girls&apos; Nutrition, Environment and Transitions (CYGNET). In-person street audits were conducted within 215 girls&apos; residential neighborhoods using a modified St. Louis Audit Tool. From the street audit data, exploratory factor analysis revealed five neighborhood scales: &quot;mixed residential and commercial,&quot; &quot;food and retail,&quot; &quot;recreation,&quot; &quot;walkability,&quot; and &quot;physical disorder.&quot; A Neighborhood Deprivation Index was also derived from census data. The authors investigated if the five neighborhood scales and the Neighborhood Deprivation Index were associated with quartiles of total energy intake and expenditure (metabolic equivalent (MET) hours/week) at baseline, and whether any of these associations were modified by race/ethnicity.
Results:
After adjustment for demographic characteristics, there was an inverse association between prevalence of &quot;food and retail&quot; destinations and total energy intake (for a one quartile increase, OR = 0.84, 95% CI 0.74, 0.96). Positive associations were also observed between the &quot;recreation&quot; and &quot;walkability&quot; scales with physical activity among Hispanic/Latina girls (for a one quartile increase in MET, OR = 1.94, 95% CI 1.31, 2.88 for recreation; OR = 1.71, 95% CI 1.11, 2.63 for walkability). Among African-American girls, there was an inverse association between &quot;physical disorder&quot; and physical activity (OR = 0.31, 95% CI 0.12, 0.80).
Conclusions:
These results suggest that neighborhood food and retail availability may be inversely associated with young girls&apos; energy intakes in contrast to other studies&apos; findings that focused on adults. There is considerable variation in neighborhoods&apos; influences on young girls&apos; physical activity behaviors, particularly for young girls of different racial/ethnic backgrounds.</description>
        <link>http://www.ijbnpa.org/content/7/1/52</link>
                <dc:creator>Cindy Leung</dc:creator>
                <dc:creator>Steven Gregorich</dc:creator>
                <dc:creator>Barbara Laraia</dc:creator>
                <dc:creator>Lawrence Kushi</dc:creator>
                <dc:creator>Irene Yen</dc:creator>
                <dc:source>International Journal of Behavioral Nutrition and Physical Activity 2010, 7:52</dc:source>
        <dc:date>2010-06-01T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1479-5868-7-52</dc:identifier>
        <prism:publicationName>International Journal of Behavioral Nutrition and Physical Activity</prism:publicationName>
        <prism:issn>1479-5868</prism:issn>
        <prism:volume>7</prism:volume>
        <prism:startingPage>52</prism:startingPage>
        <prism:publicationDate>2010-06-01T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>XML</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
    </item>
        <item rdf:about="http://www.ijbnpa.org/content/7/1/51">
        <title>Correction: The effect of a pedometer-based community walking intervention
&quot;Walking for Wellbeing in the West&quot; on physical activity levels and
health outcomes: a 12-week randomized controlled trial</title>
        <description>No description available</description>
        <link>http://www.ijbnpa.org/content/7/1/51</link>
                <dc:creator>Graham Baker</dc:creator>
                <dc:creator>Stuart Gray</dc:creator>
                <dc:creator>Annemarie Wright</dc:creator>
                <dc:creator>Claire Fitzsimons</dc:creator>
                <dc:creator>Myra Nimmo</dc:creator>
                <dc:creator>Ruth Lowry</dc:creator>
                <dc:creator>Nanette Mutrie</dc:creator>
                <dc:creator>the Scottish Physical Activity Research Collaboration (SPARColl)</dc:creator>
                <dc:source>International Journal of Behavioral Nutrition and Physical Activity 2010, 7:51</dc:source>
        <dc:date>2010-05-27T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1479-5868-7-51</dc:identifier>
        <prism:publicationName>International Journal of Behavioral Nutrition and Physical Activity</prism:publicationName>
        <prism:issn>1479-5868</prism:issn>
        <prism:volume>7</prism:volume>
        <prism:startingPage>51</prism:startingPage>
        <prism:publicationDate>2010-05-27T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>XML</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
    </item>
        <item rdf:about="http://www.ijbnpa.org/content/7/1/50">
        <title>Deconstructing Williamsburg: Using focus groups to examine residents&apos; perceptions of the building of a walkable community
</title>
        <description>Background:
Components of the built environment are associated with active living behaviors, but research in this area has employed surveys and other quantitative methods almost exclusively. Qualitative approaches can provide additional detail about how neighborhoods influence physical activity, including informing the extent to which such relationships are causal in nature. The purpose of this study was to gain an in-depth understanding of residents&apos; attitudinal and behavioral responses to living in a neighborhood designed to be walkable.
Methods:
Focus groups were conducted with residents of a planned retail and residential development that was designed to embody many attributes of walkability and was located within a large city in southwestern Ontario. In total, 31 participants provided qualitative data about neighborhood resources and dynamics, use of local services, physical activity behavior, and other related issues. The data were transcribed and coded for themes relevant to the study purpose.
Results:
Salient themes that emerged emphasized the importance of land use diversity, safety, parks and trails, aesthetics, and a sense of community, with the latter theme cutting across all others. The data also revealed mechanisms that explain relationships between the built environment and behavior and how sidewalks in the neighborhood facilitated diverse health behaviors and outcomes. Finally, residents recited several examples of changes in behavior, both positive and negative, since moving to their current neighborhood.
Conclusions:
The results of this study confirmed and expanded upon current knowledge about built and social environment influences on physical activity and health. That many residents reported changes in their behaviors since moving to the neighborhood permitted tentative inferences about the causal impact of built and social environments. Future research should exploit diverse methods to more fully understand how neighborhood contexts influence active living.</description>
        <link>http://www.ijbnpa.org/content/7/1/50</link>
                <dc:creator>Andrew Kaczynski</dc:creator>
                <dc:creator>Michael Sharratt</dc:creator>
                <dc:source>International Journal of Behavioral Nutrition and Physical Activity 2010, 7:50</dc:source>
        <dc:date>2010-05-27T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1479-5868-7-50</dc:identifier>
        <prism:publicationName>International Journal of Behavioral Nutrition and Physical Activity</prism:publicationName>
        <prism:issn>1479-5868</prism:issn>
        <prism:volume>7</prism:volume>
        <prism:startingPage>50</prism:startingPage>
        <prism:publicationDate>2010-05-27T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>XML</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
    </item>
        <cc:License rdf:about="http://creativecommons.org/licenses/by/2.0/">
        <cc:permits rdf:resource="http://creativecommons.org/ns#Reproduction" />
        <cc:permits rdf:resource="http://creativecommons.org/ns#Distribution" />
        <cc:permits rdf:resource="http://creativecommons.org/ns#DerivativeWorks" />
    </cc:License>
</rdf:RDF>
