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<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" article-type="research-article"><?properties manuscript?><front><journal-meta><journal-id journal-id-type="nlm-journal-id">0322116</journal-id><journal-id journal-id-type="pubmed-jr-id">6595</journal-id><journal-id journal-id-type="nlm-ta">Prev Med</journal-id><journal-id journal-id-type="iso-abbrev">Prev Med</journal-id><journal-title-group><journal-title>Preventive medicine</journal-title></journal-title-group><issn pub-type="ppub">0091-7435</issn><issn pub-type="epub">1096-0260</issn></journal-meta><article-meta><article-id pub-id-type="pmid">26096192</article-id><article-id pub-id-type="pmc">6204207</article-id><article-id pub-id-type="doi">10.1016/j.ypmed.2015.06.005</article-id><article-id pub-id-type="manuscript">HHSPA992353</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Longitudinal associations with changes in outdoor recreation area use for physical activity during a community-based intervention</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Schoffman</surname><given-names>Danielle E.</given-names></name><degrees>BA</degrees><xref ref-type="aff" rid="A1">1</xref></contrib><contrib contrib-type="author"><name><surname>Kaczynski</surname><given-names>Andrew T.</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="A1">1</xref><xref ref-type="aff" rid="A2">2</xref></contrib><contrib contrib-type="author"><name><surname>Forthofer</surname><given-names>Melinda</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="A2">2</xref><xref ref-type="aff" rid="A3">3</xref></contrib><contrib contrib-type="author"><name><surname>Wilcox</surname><given-names>Sara</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="A2">2</xref><xref ref-type="aff" rid="A4">4</xref></contrib><contrib contrib-type="author"><name><surname>Hutto</surname><given-names>Brent</given-names></name><degrees>MS</degrees><xref ref-type="aff" rid="A2">2</xref></contrib><contrib contrib-type="author"><name><surname>Child</surname><given-names>Stephanie T.</given-names></name><degrees>MPH</degrees><xref ref-type="aff" rid="A1">1</xref></contrib><contrib contrib-type="author"><name><surname>Hughey</surname><given-names>S. Morgan</given-names></name><degrees>MPH</degrees><xref ref-type="aff" rid="A1">1</xref></contrib></contrib-group><aff id="A1"><label>1</label>Department of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA</aff><aff id="A2"><label>2</label>Prevention Research Center, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA</aff><aff id="A3"><label>3</label>Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA</aff><aff id="A4"><label>4</label>Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA</aff><author-notes><corresp id="CR1">Address correspondence to Danielle E. Schoffman, PhD Candidate, Public Health Research Center, 1<sup>st</sup> Floor, 921 Assembly Street, Columbia, SC 29208., <email>schoffmd@email.sc.edu</email></corresp></author-notes><pub-date pub-type="nihms-submitted"><day>17</day><month>10</month><year>2018</year></pub-date><pub-date pub-type="epub"><day>19</day><month>6</month><year>2015</year></pub-date><pub-date pub-type="ppub"><month>9</month><year>2015</year></pub-date><pub-date pub-type="pmc-release"><day>28</day><month>10</month><year>2018</year></pub-date><volume>78</volume><fpage>29</fpage><lpage>32</lpage><!--elocation-id from pubmed: 10.1016/j.ypmed.2015.06.005--><abstract id="ABS1"><p id="P1">Outdoor recreation areas (ORA) are important resources for physical activity (PA) and health promotion. While past research has identified correlates of ORA use, few studies have examined predictors of longitudinal changes in park- and trail-based PA in community settings. Using data from a 6-month community-based walking intervention study, we examined cross-sectional and longitudinal predictors of PA in ORAs. Data were collected from baseline and 6-month assessments from participants (n=295) in a group walking intervention in South Carolina; participants enrolled from January 2012-May 2013. A decomposition scheme was used to examine the cross-sectional and longitudinal predictors of average group ORA use for PA, including social support, self-efficacy for PA, perceptions of neighborhood environment, and accelerometer-based PA, adjusting for gender. On average, participants were 49.4<underline>+</underline>13.3 years old, 66.1% were Black, and the majority were women. There was a mean increase in group ORA use of 2.1<underline>+</underline>0.4 days/month from baseline to 6 months. Cross-sectionally, higher levels of the percentage of time in MVPA, self-efficacy, and social support were associated with greater group-average ORA use. Longitudinally, increased social support from friends and rating of lighter motorized traffic were associated with increased group ORA use. Additionally, longitudinal increases in percentage of MVPA and more favorable rating of the neighborhood as a place to walk were both associated with decreased group ORA use. Better understanding how social and physical environmental characteristics impact ORA use for PA can lead to more effective intervention strategies and warrants greater attention in future research and public health promotion efforts.</p></abstract><kwd-group><kwd>parks</kwd><kwd>outdoor recreation area</kwd><kwd>physical activity</kwd><kwd>built environment</kwd></kwd-group></article-meta></front><body><sec id="S1"><title>INTRODUCTION</title><p id="P2">Physical activity (PA) can help prevent and control many chronic diseases, yet levels of PA remain low among U.S. adults (<xref rid="R19" ref-type="bibr">Powell et al., 2011</xref>, <xref rid="R24" ref-type="bibr">Troiano et al., 2008</xref>). National plans, such as Healthy People 2020 and the National Physical Activity Plan, call for specific actions to increase PA among all age groups, including improving environmental supports for PA(<xref rid="R17" ref-type="bibr">Pate, 2009</xref>, <xref rid="R26" ref-type="bibr">U.S. Department of Health and Human Services, 2012</xref>). Outdoor recreation areas (ORAs; e.g., parks, trails, green spaces) are associated with greater PA in community-dwelling adults and provide a low-cost resource for PA (<xref rid="R8" ref-type="bibr">Kaczynski and Henderson, 2008</xref>, <xref rid="R21" ref-type="bibr">Sallis et al., 2012</xref>). Past cross-sectional research on parks has found that ORA-related factors such as proximity, park features, quality, and safety, are associated with ORA use (<xref rid="R5" ref-type="bibr">Carlson et al., 2010</xref>, <xref rid="R8" ref-type="bibr">Kaczynski and Henderson, 2008</xref>, <xref rid="R10" ref-type="bibr">Kaczynski et al., 2008</xref>, <xref rid="R23" ref-type="bibr">Schoffman et al., 2014</xref>). However, little is known about longitudinal patterns of ORA use and what factors predict changes in use of these spaces specifically for PA. Therefore, the present analysis examines individual and neighborhood-level predictors that explain changes over a 6-month period in ORA use for PA.</p></sec><sec id="S2"><title>METHODS</title><sec id="S3"><title>Setting and Participants</title><p id="P3">Data were collected from a 6-month, group-based walking intervention for adults that occurred in a central South Carolina county (pop. 108,052) (<xref rid="R25" ref-type="bibr">U.S. Census Bureau, 2010</xref>). Participants were recruited from the community through a variety of methods (e.g., local newspapers) and enrolled from January 2012 to May 2013. Further information about eligibility criteria and sampling have been published previously (<xref rid="R28" ref-type="bibr">Wilcox et al., 2014</xref>). The study was approved by the Institutional Review Board at the University of South Carolina. In conjunction with the intervention, participants received maps of ORAs in the county. Anthropometric measures and paper-based questionnaires were collected from participants at enrollment (baseline) and 6 months thereafter. This paper uses data from 295 participants from 55 walking groups with baseline data.</p></sec><sec id="S4"><title>Measures</title><sec id="S5"><title>Use of outdoor recreational areas.</title><p id="P4">At both baseline and 6 months, participants reported the number of days in a typical month that they used ORAs in the county for PA that are: (1) trails, tracks, or mapped paths, and (2) any other public parks or other ORAs.</p></sec><sec id="S6"><title>Sociodemographic/Weight status.</title><p id="P5">Participants reported their baseline age, gender, ethnicity, race, education level, and marital status. Height and weight were measured at baseline and body mass index (BMI) was calculated as kg/m<sup>2</sup>.</p></sec><sec id="S7"><title>Seasonality.</title><p id="P6">A four-level variable to capture the season in which a participant&#x02019;s baseline and 6-month visits occurred was coded as follows: winter (December, January, February), spring (March, April, May), summer (June, July, August), and fall (September, October, November).</p></sec><sec id="S8"><title>Self-efficacy and social support.</title><p id="P7">At baseline and 6 months, a 5-item Self-Efficacy for Exercise Scale assessed participants&#x02019; confidence in their ability to exercise in a variety of conditions (<xref rid="R16" ref-type="bibr">Marcus et al., 1992</xref>). A 14-item version of the Social Support for Exercise Scale separately assessed the level of support participants perceived for their exercise behaviors from each of three sources: family, friends, and walking group (<xref rid="R22" ref-type="bibr">Sallis et al., 1987</xref>).</p></sec><sec id="S9"><title>Physical activity.</title><p id="P8">Total PA, moderate- to vigorous-intensity PA (MVPA), and light PA were assessed objectively at baseline and 6 months using an average of five days of accelerometer data using standard cutpoints (<xref rid="R24" ref-type="bibr">Troiano et al., 2008</xref>). Ten hours of wear-time were required for classification as a complete day.</p></sec><sec id="S10"><title>Environmental factors and supports for physical activity.</title><p id="P9">A composite score from the previously-validated International Physical Activity Questionnaire Environment Module was used to capture perceptions of seven neighborhood attributes at baseline and 6 months (<xref rid="R20" ref-type="bibr">Sallis et al., 2009</xref>). Additionally, seven items originally developed by the University of South Carolina Prevention Research Center were used to assess additional environmental characteristics that could impact PA (e.g., rating of quality of street lighting) at baseline and 6 months (<xref rid="R13" ref-type="bibr">Kirtland et al., 2003</xref>).</p></sec></sec><sec id="S11"><title>Analysis</title><p id="P10">Multilevel models were used to examine change in ORA use at the walking group level. An initial random coefficient model examined associations between individual-level variables (i.e., demographics, season) and average group ORA use. Only gender was significantly associated with ORA use; therefore, all subsequent models controlled for gender.</p><p id="P11">A decomposition scheme was used to estimate cross-sectional and longitudinal effects on group ORA use (<xref rid="R15" ref-type="bibr">Laska et al., 2012</xref>). This approach allows for the simultaneous estimation of cross-sectional and longitudinal effects in a single model, and allows for an interpretation in terms of change in independent variables predicting change in dependent variables (<xref rid="R15" ref-type="bibr">Laska et al., 2012</xref>). A cross-sectional component averaged baseline and 6-month values. When only one time point was available, that value was used as the mean. A longitudinal component was created as the deviation between the mean and the value at each time point. There was 36% attrition from baseline to the 6-month visit; 194 participants provided data at the 6-month timepoint. There was a negligible amount of item-level missing data across the surveys. Of note, there were a few instances of missing data at one timepoint: missing ORA use (n=2 at baseline, n=6 at 6 months), unusable Actigraph data (n=4 at baseline, n=7 at 6 months), and missing BMI values (n=0 at baseline, n=4 at 6 months). When individuals had at least one timepoint (baseline or 6 months) of data, they were retained in the model for that variable; otherwise they were excluded (<xref rid="R15" ref-type="bibr">Laska et al., 2012</xref>).</p><p id="P12">Separate multilevel random coefficient models examined relationships between each independent variable and average group ORA use, adjusting for gender. Each model estimated the cross-sectional and longitudinal differences in ORA associated with a one-unit difference in the independent variable.</p></sec></sec><sec id="S12"><title>RESULTS</title><p id="P13">Descriptive characteristics of the sample are shown in <xref rid="T1" ref-type="table">Table 1</xref>. On average, participants were 49.4<underline>+</underline>13.3 years of age, with some college education (78.3%), two-thirds (66.1%) were Black, and the majority were women (85.7%). There was a mean increase in group ORA use of 2.1<underline>+</underline>0.4 days/month from baseline to 6 months. As shown in <xref rid="T2" ref-type="table">Table 2</xref>, cross-sectionally, higher levels of the following predictors were associated with greater group average ORA use: percentage of time in MVPA, self-efficacy, social support from family, friends, and walking group. Longitudinally, increased social support from friends and rating of lighter motorized traffic (marginally significant) were associated with increased group ORA use. Additionally, longitudinal increases in the percentage of time spent in MVPA and more favorable rating of the neighborhood as a place to walk were both associated with decreased group ORA use.</p></sec><sec id="S13"><title>DISCUSSION</title><p id="P14">We tested a range of individual and environmental characteristics to examine associations with use of ORAs for PA both cross-sectionally and longitudinally. The findings of this analysis expand our understanding of factors related to active ORA use in several ways. For example, self-efficacy and social support from family, friends, and walking group were cross-sectionally associated with higher average group ORA use, although only social support from friends was longitudinally associated with increased ORA use. The cross-sectional findings about self-efficacy are consistent with past research on overall PA participation (<xref rid="R2" ref-type="bibr">Bauman et al., 2012</xref>), but also add to a growing literature on relationships between psychosocial attributes and use of environmental resources for PA (<xref rid="R4" ref-type="bibr">Carlson et al., 2012</xref>). Some research shows that positive neighborhood environments especially benefit those with lower self-efficacy and other similar at-risk populations (Kaczynski et al., 2012; Lee et al., 2007) and that parks provide appealing venues for PA (<xref rid="R7" ref-type="bibr">Hansmann et al., 2007</xref>), but more research is needed to better understand how opportunities for use of ORAs may mitigate individuals&#x02019; self-efficacy constraints (<xref rid="R27" ref-type="bibr">Voorhees et al., 2011</xref>).</p><p id="P15">The strong findings relating social support and active ORA use may be reflective of the group-based nature of the present intervention, but are also in line with previous research showing greater park usage and PA within areas possessing higher levels of social capital (<xref rid="R3" ref-type="bibr">Broyles et al., 2011</xref>). Further, the cross-sectional findings linking social support and ORA use in the current study align with previous data indicating that women reported higher perceived support for PA intentions, and feelings of safety and enjoyment when they visited ORAs with others (<xref rid="R14" ref-type="bibr">Krenichyn, 2004</xref>). This indicates that a bidirectional relationship between ORA use and perceived support for PA may exist, such that ORA use may increase perceived support for PA. Future interventions should build on and leverage the potential for social participation and support for PA within ORA settings. Additionally, walking groups were comprised of diverse groups of people, some including friends, neighbors, coworkers, and potentially more distant acquaintances. A potential area for further investigation might be to more closely measure the composition of the walking group, and then compare the levels of perceived social support experienced by participants.</p><p id="P16">Cross-sectional MVPA was associated with ORA use, similar to the findings of other studies that have shown that higher levels of ORA use are correlated with higher levels of PA (<xref rid="R8" ref-type="bibr">Kaczynski and Henderson, 2008</xref>, <xref rid="R21" ref-type="bibr">Sallis et al., 2012</xref>). However, it is surprising that longitudinal increases in time spent in MVPA were associated with a decrease in group ORA use. Perhaps participants and groups who increased their MVPA during the study were engaging in more vigorous activities than could be accomplished within the available ORAs and with walking groups. Indeed, much park use is observed as sedentary (<xref rid="R11" ref-type="bibr">Kaczynski et al., 2011</xref>) and interventions are needed within parks to encourage shifting some inactive behavior to PA (<xref rid="R12" ref-type="bibr">Kaczynski et al., 2014b</xref>). In addition, the intervention strategies that comprised this study encouraged participants to participate in PA in a variety of contexts, including but not limited to, ORAs (<xref rid="R28" ref-type="bibr">Wilcox et al., 2014</xref>). It is possible that the walking groups collectively decided that other locations (e.g., neighborhood streets, school facilities) were more suitable for their walking sessions in terms of distance, accessibility, or safety compared to the ORAs. Future research could include the wear of geographic positioning system (GPS) devices in addition to the accelerometers to better assess the specific location and contexts of participants&#x02019; PA (<xref rid="R6" ref-type="bibr">Evenson et al., 2013</xref>).Similarly, negative perceptions of safety in ORAs like parks have been frequently cited as a barrier for visitation and physical activity behaviors in such settings (<xref rid="R1" ref-type="bibr">Bai et al., 2013</xref>). The group-based component of the intervention inherently includes a strong social component to facilitating PA. It is possible that any negative perceptions about park and recreation locations could have been shared in the group setting and negatively influenced PA in ORA settings over time. Assessing perceptions of safety and other factor affecting ORA use in the future may provide better insight in explaining this longitudinal relationship.</p><p id="P17">Previous cross-sectional research has found that perceptions of the neighborhood environment, including its safety and accessibility for engaging in PA, is associated with park and trail use (<xref rid="R18" ref-type="bibr">Paxton et al., 2005</xref>). However, examination of these factors produced mixed results in our study. For example, we found no association (cross-sectional or longitudinal) between availability of sidewalks and ORA use or rating of quality of street lighting and ORA use. At the same time, ratings of lighter motorized traffic were marginally related to increased ORA use, which is consistent with past research about neighborhood traffic speed and park visitation among adults (<xref rid="R9" ref-type="bibr">Kaczynski et al., 2014a</xref>). However, rating one&#x02019;s neighborhood as a pleasant place to walk was related to decreased ORA use over time, which may simply represent a displacement of PA from parks and trails to other neighborhood settings (e.g., sidewalks, streets).</p><p id="P18">This study relied primarily on self-reported measures of ORA use and influencing factors, but examined a range of personal and neighborhood-level predictors of both cross-sectional and longitudinal ORA use within a racially-diverse sample. Better understanding how social and physical environmental characteristics impact ORA use for PA can lead to more effective intervention strategies and warrants greater individual and collective attention in future research and public health promotion efforts.</p></sec></body><back><ack id="S14"><title>ACKNOWLEDGEMENTS:</title><p id="P19">This work was supported by the Centers for Disease Control and Prevention&#x02019;s National Center for Chronic Disease Prevention and Health Promotion by Cooperative Agreement Number U48-DP-001936. The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention or the Department of Health and Human Services.</p></ack><fn-group><fn fn-type="COI-statement" id="FN1"><p id="P20">CONFLICT OF INTEREST: The authors declare there is no conflict of interest.</p></fn></fn-group><ref-list><title>REFERENCES</title><ref id="R1"><mixed-citation publication-type="journal"><name><surname>BAI</surname><given-names>H</given-names></name>, <name><surname>WILHELM STANIS</surname><given-names>SA</given-names></name>, <name><surname>KACZYNSKI</surname><given-names>AT</given-names></name> &#x00026; <name><surname>BESENYI</surname><given-names>G</given-names></name>
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<source>J Phys Act Health</source></mixed-citation></ref></ref-list></back><floats-group><table-wrap id="T1" position="float" orientation="portrait"><label>Table 1:</label><caption><p id="P21">Descriptive characteristics of sample at baseline</p></caption><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="bottom" rowspan="1" colspan="1">Characteristic</th><th align="center" valign="top" rowspan="1" colspan="1">Total sample (n=295)<break/>Mean (SD) or %</th></tr></thead><tbody><tr><td align="left" valign="middle" rowspan="1" colspan="1">Age (years)</td><td align="center" valign="middle" rowspan="1" colspan="1">49.4 (13.3)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Gender</td><td align="center" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02002;Male</td><td align="center" valign="middle" rowspan="1" colspan="1">12.9</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02002;Female</td><td align="center" valign="middle" rowspan="1" colspan="1">85.7</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Race (%)</td><td align="center" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02002;Black/African American</td><td align="center" valign="middle" rowspan="1" colspan="1">66.1</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02002;White</td><td align="center" valign="middle" rowspan="1" colspan="1">30.1</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02002;Other/Unknown</td><td align="center" valign="middle" rowspan="1" colspan="1">3.8</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">BMI (kg/m<sup>2</sup>)</td><td align="center" valign="middle" rowspan="1" colspan="1">31.6 (6.4)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Education (%)</td><td align="center" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02002;High School diploma or less</td><td align="center" valign="middle" rowspan="1" colspan="1">21.8</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02002;Some college or more</td><td align="center" valign="middle" rowspan="1" colspan="1">78.2</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Marital Status (%)</td><td align="center" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02002;Married/Cohabitating</td><td align="center" valign="middle" rowspan="1" colspan="1">56.3</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02002;Not Married</td><td align="center" valign="middle" rowspan="1" colspan="1">43.7</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02002;ORA Use (average days/ month)</td><td align="center" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02002;Baseline</td><td align="center" valign="middle" rowspan="1" colspan="1">3.9 (5.4)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02002;6-months</td><td align="center" valign="middle" rowspan="1" colspan="1">6.0 (6.3)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">% MVPA<sup><xref rid="TFN1" ref-type="table-fn">1</xref></sup></td><td align="center" valign="middle" rowspan="1" colspan="1">2.0</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">% sedentary<sup><xref rid="TFN1" ref-type="table-fn">1</xref></sup></td><td align="center" valign="middle" rowspan="1" colspan="1">62.5</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Self-efficacy<sup><xref rid="TFN2" ref-type="table-fn">2</xref></sup></td><td align="center" valign="middle" rowspan="1" colspan="1">4.1 (1.5)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Perception of PA in neighborhood<sup><xref rid="TFN3" ref-type="table-fn">3</xref></sup></td><td align="center" valign="middle" rowspan="1" colspan="1">2.4 (0.7)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Rating of neighborhood as place to walk<sup><xref rid="TFN4" ref-type="table-fn">4</xref></sup></td><td align="center" valign="middle" rowspan="1" colspan="1">1.7 (0.8)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Rating of motorized traffic in neighborhood<sup><xref rid="TFN5" ref-type="table-fn">5</xref></sup></td><td align="center" valign="middle" rowspan="1" colspan="1">2.2 (0.7)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Availability of sidewalks (% yes)</td><td align="center" valign="middle" rowspan="1" colspan="1">19.8</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Rating of quality of street lighting<sup><xref rid="TFN6" ref-type="table-fn">6</xref></sup></td><td align="center" valign="middle" rowspan="1" colspan="1">3.7 (1.2)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Length at current address (years)</td><td align="center" valign="middle" rowspan="1" colspan="1">13.7 (12.3)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Social support, family<sup><xref rid="TFN7" ref-type="table-fn">7</xref></sup></td><td align="center" valign="middle" rowspan="1" colspan="1">2.5 (0.8)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Social support, friends<sup><xref rid="TFN7" ref-type="table-fn">7</xref></sup></td><td align="center" valign="middle" rowspan="1" colspan="1">2.5 (0.7)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Social support, group<sup><xref rid="TFN7" ref-type="table-fn">7</xref></sup></td><td align="center" valign="middle" rowspan="1" colspan="1">2.2 (0.8)</td></tr></tbody></table><table-wrap-foot><fn id="TFN1"><label>1</label><p id="P22">Percentage of time in moderate-to-vigorous physical activity, based on daily average over a week</p></fn><fn id="TFN2"><label>2</label><p id="P23">Scores range from 1 to 7 (not at all confident to very confident)</p></fn><fn id="TFN3"><label>3</label><p id="P24">Scores range from 1 to 4 (very active to not at all active)</p></fn><fn id="TFN4"><label>4</label><p id="P25">Scores range from 1 to 4 (very pleasant to not at all pleasant)</p></fn><fn id="TFN5"><label>5</label><p id="P26">Scores range from 1 to 3 (heavy to light)</p></fn><fn id="TFN6"><label>6</label><p id="P27">Scores range from 1 to 5 (very well maintained to not at all maintained)</p></fn><fn id="TFN7"><label>7</label><p id="P28">Scores range from 1 to 5 (none to very often)</p></fn></table-wrap-foot></table-wrap><table-wrap id="T2" position="float" orientation="portrait"><label>Table 2:</label><caption><p id="P29">Cross-sectional and longitudinal associations between physical environment, social environment, and psychosocial factors and days/month of ORA use for physical activity<sup><xref rid="TFN8" ref-type="table-fn">1</xref></sup></p></caption><table frame="box" rules="all"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="top" rowspan="1" colspan="1"/><th colspan="3" align="center" valign="top" rowspan="1"><underline>Cross-Sectional</underline></th><th colspan="3" align="center" valign="top" rowspan="1"><underline>Longitudinal</underline></th></tr><tr><th align="center" valign="top" rowspan="1" colspan="1"/><th align="center" valign="top" rowspan="1" colspan="1">Coefficient</th><th align="center" valign="top" rowspan="1" colspan="1">SE</th><th align="center" valign="top" rowspan="1" colspan="1">p</th><th align="center" valign="top" rowspan="1" colspan="1">Coefficient</th><th align="center" valign="top" rowspan="1" colspan="1">SE</th><th align="center" valign="top" rowspan="1" colspan="1">p</th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1"><italic>BMI</italic></td><td align="center" valign="top" rowspan="1" colspan="1">0.01</td><td align="center" valign="top" rowspan="1" colspan="1">0.04</td><td align="center" valign="top" rowspan="1" colspan="1">0.88</td><td align="center" valign="top" rowspan="1" colspan="1">0.09</td><td align="center" valign="top" rowspan="1" colspan="1">0.28</td><td align="center" valign="top" rowspan="1" colspan="1">0.75</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"><italic>% weekly MVPA</italic></td><td align="center" valign="top" rowspan="1" colspan="1"><bold>0.46</bold></td><td align="center" valign="top" rowspan="1" colspan="1"><bold>0.17</bold></td><td align="center" valign="top" rowspan="1" colspan="1"><bold>0.007</bold></td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;<bold>0.65</bold></td><td align="center" valign="top" rowspan="1" colspan="1"><bold>0.22</bold></td><td align="center" valign="top" rowspan="1" colspan="1"><bold>0.004</bold></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"><italic>% weekly sedentary</italic></td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;0.03</td><td align="center" valign="top" rowspan="1" colspan="1">0.03</td><td align="center" valign="top" rowspan="1" colspan="1">0.26</td><td align="center" valign="top" rowspan="1" colspan="1">0.01</td><td align="center" valign="top" rowspan="1" colspan="1">0.04</td><td align="center" valign="top" rowspan="1" colspan="1">0.73</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"><italic>Self-efficacy</italic></td><td align="center" valign="top" rowspan="1" colspan="1"><bold>0.95</bold></td><td align="center" valign="top" rowspan="1" colspan="1"><bold>0.21</bold></td><td align="center" valign="top" rowspan="1" colspan="1"><bold>&#x0003c;0.001</bold></td><td align="center" valign="top" rowspan="1" colspan="1">0.07</td><td align="center" valign="top" rowspan="1" colspan="1">0.29</td><td align="center" valign="top" rowspan="1" colspan="1">0.82</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"><italic>Perception of PA in</italic><break/><italic>neighborhood</italic></td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;0.30</td><td align="center" valign="top" rowspan="1" colspan="1">0.46</td><td align="center" valign="top" rowspan="1" colspan="1">0.52</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;0.11</td><td align="center" valign="top" rowspan="1" colspan="1">0.58</td><td align="center" valign="top" rowspan="1" colspan="1">0.84</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"><italic>Rating of neighborhood as</italic><break/><italic>place to walk</italic></td><td align="center" valign="top" rowspan="1" colspan="1">0.16</td><td align="center" valign="top" rowspan="1" colspan="1">0.39</td><td align="center" valign="top" rowspan="1" colspan="1">0.68</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;<bold>1.68</bold></td><td align="center" valign="top" rowspan="1" colspan="1"><bold>0.58</bold></td><td align="center" valign="top" rowspan="1" colspan="1"><bold>0.004</bold></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"><italic>Rating of motorized traffic in</italic><break/><italic>neighborhood</italic></td><td align="center" valign="top" rowspan="1" colspan="1">0.15</td><td align="center" valign="top" rowspan="1" colspan="1">0.48</td><td align="center" valign="top" rowspan="1" colspan="1">0.76</td><td align="center" valign="top" rowspan="1" colspan="1">1.27</td><td align="center" valign="top" rowspan="1" colspan="1">0.9</td><td align="center" valign="top" rowspan="1" colspan="1">0.068</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"><italic>Availability of sidewalks</italic></td><td align="center" valign="top" rowspan="1" colspan="1">0.22</td><td align="center" valign="top" rowspan="1" colspan="1">0.79</td><td align="center" valign="top" rowspan="1" colspan="1">0.78</td><td align="center" valign="top" rowspan="1" colspan="1">2.58</td><td align="center" valign="top" rowspan="1" colspan="1">1.65</td><td align="center" valign="top" rowspan="1" colspan="1">0.12</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"><italic>Rating of quality of street</italic><break/><italic>lighting</italic></td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;0.01</td><td align="center" valign="top" rowspan="1" colspan="1">0.28</td><td align="center" valign="top" rowspan="1" colspan="1">0.96</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;0.44</td><td align="center" valign="top" rowspan="1" colspan="1">0.45</td><td align="center" valign="top" rowspan="1" colspan="1">0.33</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"><italic>Length at current address</italic></td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;0.03</td><td align="center" valign="top" rowspan="1" colspan="1">0.02</td><td align="center" valign="top" rowspan="1" colspan="1">0.17</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;0.01</td><td align="center" valign="top" rowspan="1" colspan="1">0.09</td><td align="center" valign="top" rowspan="1" colspan="1">0.92</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"><italic>Social support, family</italic></td><td align="center" valign="top" rowspan="1" colspan="1"><bold>1.28</bold></td><td align="center" valign="top" rowspan="1" colspan="1"><bold>0.38</bold></td><td align="center" valign="top" rowspan="1" colspan="1"><bold>&#x0003c;0.001</bold></td><td align="center" valign="top" rowspan="1" colspan="1">0.85</td><td align="center" valign="top" rowspan="1" colspan="1">0.55</td><td align="center" valign="top" rowspan="1" colspan="1">0.12</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"><italic>Social support, friends</italic></td><td align="center" valign="top" rowspan="1" colspan="1"><bold>1.80</bold></td><td align="center" valign="top" rowspan="1" colspan="1"><bold>0.44</bold></td><td align="center" valign="top" rowspan="1" colspan="1"><bold>&#x0003c;0.001</bold></td><td align="center" valign="top" rowspan="1" colspan="1"><bold>1.27</bold></td><td align="center" valign="top" rowspan="1" colspan="1"><bold>0.54</bold></td><td align="center" valign="top" rowspan="1" colspan="1"><bold>0.02</bold></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"><italic>Social support, group</italic></td><td align="center" valign="top" rowspan="1" colspan="1"><bold>1.42</bold></td><td align="center" valign="top" rowspan="1" colspan="1"><bold>0.44</bold></td><td align="center" valign="top" rowspan="1" colspan="1"><bold>0.002</bold></td><td align="center" valign="top" rowspan="1" colspan="1">0.44</td><td align="center" valign="top" rowspan="1" colspan="1">0.42</td><td align="center" valign="top" rowspan="1" colspan="1">0.30</td></tr></tbody></table><table-wrap-foot><fn id="TFN8"><label>1</label><p id="P30">Note: all analyses adjusted for gender</p></fn></table-wrap-foot></table-wrap></floats-group></article>