Literature DB >> 29061176

Correction to: longitudinal associations between built environment characteristics and changes in active commuting.

Lin Yang1, Simon Griffin1,2, Kay-Tee Khaw2, Nick Wareham1, Jenna Panter3.   

Abstract

Entities:  

Year:  2017        PMID: 29061176      PMCID: PMC5653999          DOI: 10.1186/s12889-017-4843-1

Source DB:  PubMed          Journal:  BMC Public Health        ISSN: 1471-2458            Impact factor:   3.295


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Correction

Following the publication of this article, Yang et al., [1] it has been brought to our attention that there were errors in the abstract and in Tables 2 and 3. These errors occurred as previous versions of the tables were uploaded to the submission system in the process of revising the paper. These errors relate to the presentation of the results. The results reported in the text of the paper are correct and the conclusions are unaltered. We also noted an error in the abstract.

1. Error in Table 2

Table 2 reports the characteristics of a sample. The correct version of Table 2 is presented below.
Table 2

Descriptive characteristics of participants in the EPIC-Norfolk cohort included in the analyses

Characteristic%(n)
Age (in years)
  < 5030.4 (839)
 50–5436.4 (1003)
  > =5533.2 (915)
BMI (kg/m2)
 Normal weight43.4 (1197)
 Overweight43.6 (1203)
 Obese13.0 (357)
Social Class
 Professional50.6 (1395)
 Skilled36.1 (996)
 Partly Skilled/unskilled13.3 (366)
Marital Status
 Not married14.2 (392)
 Married85.8 (2365)
Alcohol Consumption
 Non drinker6.1 (170)
 Sensible drinker80.1 (2208)
 Heavy drinker13.8 (379)
Smoking Status
 Never smoke53.5 (1475)
 Former smoker38.5 (1062)
 Current smoker8.0 (220)
Total sample for analysis: n = 2757
Descriptive characteristics of participants in the EPIC-Norfolk cohort included in the analyses

2. Error in Table 3

We also noted that the results presented in Table 3 are incorrect. The correct version of the table appears below and the results reported in the text match the results presented in this Table.
Table 3

Adjusted associations between neighbourhood and route environment characteristics and uptake and maintenance of active commuting

Switching to active commuting (n = 2099)Maintenance of active commuting (n = 658)
OR (95% CI) p OR (95% CI) p
Neighbourhood Environment
 Density of employment locations (Reference: Lowest)
  Second quartile1.19 (0.53, 2.72)0.001
  Third Quartile1.53 (0.70, 3.36)
  Highest3.13 (1.48, 6.64)
Route Environment
 Distance from home to work (Reference: <2 km)
  v2-10 km0.11 (0.06, 0.18)0.0010.22 (0.12, 0.39)0.001
  Over 10 km0.04 (0.02, 0.09)0.06 (0.25, 0.13)
 Main or secondary road on route (Reference: No)
  Yes0.45 (0.25, 0.79)0.0050.52 (0.28, 0.98)0.042
 Number of streetlights per 100 m (Reference: Lowest)
  Second quartile2.76 (1.29, 5.91)0.002
  Third Quartile2.02 (0.94, 4.34)
  Highest3.98 (1.85, 8.57)
Total sample for analysis: n = 2757.
Adjusted associations between neighbourhood and route environment characteristics and uptake and maintenance of active commuting

3. Error in the abstract

Those living in neighbourhoods with greater density of employment locations were more likely to maintain their active commuting.
  1 in total

1.  Longitudinal associations between built environment characteristics and changes in active commuting.

Authors:  Lin Yang; Simon Griffin; Kay-Tee Khaw; Nick Wareham; Jenna Panter
Journal:  BMC Public Health       Date:  2017-05-17       Impact factor: 3.295

  1 in total

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