Archives

  • 2018-07
  • 2018-10
  • 2018-11
  • 2019-04
  • 2019-05
  • 2019-06
  • 2019-07
  • 2019-08
  • 2019-09
  • 2019-10
  • 2019-11
  • 2019-12
  • 2020-01
  • 2020-02
  • 2020-03
  • 2020-04
  • 2020-05
  • 2020-06
  • 2020-07
  • 2020-08
  • 2020-09
  • 2020-10
  • 2020-11
  • 2020-12
  • 2021-01
  • 2021-02
  • 2021-03
  • 2021-04
  • 2021-05
  • 2021-06
  • 2021-07
  • 2021-08
  • 2021-09
  • 2021-10
  • 2021-11
  • 2021-12
  • 2022-01
  • 2022-02
  • 2022-03
  • 2022-04
  • 2022-05
  • 2022-06
  • 2022-07
  • 2022-08
  • 2022-09
  • 2022-10
  • 2022-11
  • 2022-12
  • 2023-01
  • 2023-02
  • 2023-03
  • 2023-04
  • 2023-05
  • 2023-06
  • 2023-07
  • 2023-08
  • 2023-09
  • 2023-10
  • 2023-11
  • 2023-12
  • 2024-01
  • 2024-02
  • 2024-03
  • 2024-04
  • 2024-05
  • br Material and methods A draft of the questionnaire was

    2018-10-29


    Material and methods A draft of the questionnaire was validated based on input from experts drawn from the research domains that contributed to the content of the questionnaire, and the questionnaire was then tested for comprehension and clarity with a group of university students from a range of disciplines. Based on the input received in these two steps, both the questions and the nmda receptor physical structure of the instrument were refined. The questionnaire was created in two formats: online and paper-based. The online version was created using the survey and statistics software DatStat Illume v. 5.1 (http://www.datstat.com/survey-research-software). The paper version of the questionnaire was distributed through visits to the Rillito River Park, between Craycroft Road and Alvernon Way on both sides of the river (Fig. 3). This section of the park was chosen because it is accessible to a range of socioeconomic populations and to multiple neighborhoods with various levels of walkability. The park is a greenway that has a walking/biking path on both sides of the Rillito River wash and extends for several miles (Fig. 4). The paper version of the questionnaire was also distributed by mail to reach those residents not accessible via email and/or who lived in neighborhoods with a distinct design. The total number of responses was 486 including 338 from the online version, 103 from the visits to the park, and 45 from the mailed surveys. The statistical analysis involved bivariate correlations to determine significance and to establish the magnitude of relationships. This analysis was conducted using IBM-SPSS (http://www-01.ibm.com/software/analytics/spss). This research was approved by the Institutional Review Board for the Protection of Human Subjects on December 12, 2013 (IRB # 13-0855 UAR Number 1300000855).
    Results The demographics of our sample nmda receptor indicate that approximately one-fourth of the respondents (26.5%) reported being in their 60s, and another fourth (24.7%) reported being in their 50s. Approximately one-fifth reported being in their 70s or older (20.4%), and the remainder in their 40s (14.4%), 30s (8.8%), or younger (5.2%) (Table 3). More than half of the respondents (62.6%) reported being female. The majority of the respondents reported being of white ethnicity (87.9%), whereas most of the balance reported being Hispanic (8.6%). In terms of income, approximately one-half of the respondents (49.2%) reported being in the highest income bracket, approximately one-third (31.7%) reported being in the medium income bracket, and the remainder reported being in the lowest income bracket. In terms of education, most of the respondents reported having a high level of education (a college/university degree −46.7%, or beyond −43.6%). The statistical analysis revealed significant associations between each walkability category and physical activity (p<0.001) (Table 4). However, the magnitude of the Pearson correlation coefficient (r) between each walkability category and physical activity varied. We found moderate correlations (0.3Recombination nodules a neighborhood that provides traffic safety (pedestrian and biking infrastructure), combined with design elements that enhance the experience of walking (thermal comfort, aesthetics, way-finding, slope), includes greenspace in close proximity and easy-access (greenspace), provides commercial destinations close to homes (land use), and has a high residential density (density) might encourage recreational walking.