Literature DB >> 29787585

Correction: Cardiorespiratory Fitness, Sedentary Behaviour and Physical Activity Are Independently Associated with the Metabolic Syndrome, Results from the SCAPIS Pilot Study.

Örjan Ekblom, Elin Ekblom-Bak, Annika Rosengren, Mattias Hallsten, Göran Bergström, Mats Börjesson.   

Abstract

[This corrects the article DOI: 10.1371/journal.pone.0131586.].

Entities:  

Year:  2018        PMID: 29787585      PMCID: PMC5963772          DOI: 10.1371/journal.pone.0197801

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


There are errors in Figs 1–5. There are also errors in Table 3 and Table 4. The corrected figures and tables are based on the NCEP Adult Treatment Panel III (ATPIII panel). Please see the correct Figs 1–5 and the correct Table 3 and Table 4 below.
Fig 1

OR for MetS for tertiles of sedentary time.

ORs are adjusted for gender, age, education level (university degree vs. not), energy intake (kcal·d-1 in quartiles), smoking habits (regular smoker vs. not) and psycho-social stress (self-reported into four levels), estimated VO2max (ml·min-1·kg-1, in tertiles) and % of wear time spent in MVPA (in tertiles). * Denotes significant difference to reference group.

Fig 5

Stratified analysis across SED tertiles in high (above median) and low (below median) MVPA.

ORs are adjusted for gender, age (yrs.), education level (university degree vs. not), energy intake (kcal·d-1, in quartiles), smoking habits (regular vs. not), psychosocial stress (self-reported into four levels) and fitness (in tertiles).

Table 3

Analyzed using ATPIII-cutoffs for uniaxial accelerometry.

Tertile 2Tertile 3
Fitnessn
Age-gender7840.50 (0.31–0.74)0.09 (0.04–0.18)
+Lifestyle7090.41 (0.26–0.67)0.08 (0.04–0.18)
+SED6300.46 (0.27–0.79)0.11 (0.05–0.29)
+MVPA6300.50 (0.29–0.86)0.12 (0.05–0.28)
+SED and MVPA6300.49 (0.29–0.85)0.12 (0.05–0.29)
Accelerometry
SEDAge-gender9321.32 (0.85–2.07)1.83 (1.19–2.81)
+Lifestyle8311.59 (0.97–2.61)2.37 (1.47–3.83)
+MVPA8311.37 (0.82–2.26)1.80 (1.09–2.96)
+Fitness6301.74 (0.89–3.42)2.45 (1.26–4.79)
+MVPA and Fitness6301.55 (0.78–3.10)1.90 (0.95–3.89)
LIPAAge-gender9320.85 (0.57–1.27)0.72 (0.47–1.11)
+Lifestyle8310.76 (0.49–1.16)0.56 (0.35–0.90)
+MVPA8310.81 (0.53–1.26)0.61 (0.38–0.98)
+Fitness6300.92 (0.53–1.61)0.52 (0.27–1.01)
+MVPA and Fitness6300.97 (0.55–1.71)0.52 (0.26–1.02)
MVPAAge-gender9320.33 (0.21–0.50)0.31 (0.20–0.47)
+Lifestyle8310.34 (0.22–0.54)0.33 (0.21–0.52)
+SED8310.36 (0.23–0.57)0.39 (0.24–0.63)
+Fitness6300.26 (0.14–0.50)0.31 (0.17–0.57)
+SED and Fitness6300.28 (0.14–0.53)0.36 (0.19–0.67)
TPAAge-gender9320.36 (0.23–0.54)0.35 (0.23–0.54)
+Lifestyle8310.34 (0.21–0.53)0.32 (0.22–0.55)
+SED8310.37 (0.22–0.60)0.40 (0.23–0.71)
+MVPA8310.46 (0.27–0.77)0.68 (0.32–1.44)
+Fitness6300.42 (0.23–0.76)0.33 (0.17–0.62)
+SED, MVPA and Fitness6300.84 (0.38–1.84)1.31 (0.39–4.46)
SED boutsAge-gender9301.07 (0.68–1.70)1.73 (1.41–2.64)
+Lifestyle8311.20 (0.74–1.95)2.21 (1.40–3.49)
+MVPA8311.09 (0.67–1.80)1.81 (1.13–2.90)
+Fitness6300.96 (0.50–1.86)1.97 (1.06–3.64)
+MVPA and Fitness6300.92 (0.47–1.81)1.67 (0.89–3.15)
SED breaksAge-gender9320.74 (0.50–1.11)0.61 (0.40–0.93)
+Lifestyle8310.63 (0.41–0.98)0.50 (0.31–0.80)
+MVPA8310.69 (0.44–1.07)0.56 (0.35–0.91)
+Fitness6300.61 (0.34–1.09)0.54 (0.28–1.03)
+MVPA and Fitness6300.68 (0.38–1.23)0.56 (0.29–1.09)
Table 4

Analyzed using ATPIII-cutoffs for triaxial accelerometry.

Tertile 2Tertile 3
Fitnessn
Age-gender7840.50 (0.31–0.74)0.09 (0.04–0.18)
+Lifestyle7090.41 (0.26–0.67)0.08 (0.04–0.18)
+SED6330.51 (0.30–0.86)0.11 (0.05–0.27)
+MVPA6330.49 (0.29–0.83)0.12 (0.05–0.27)
+SED and MVPA6330.51 (0.30–0.88)0.12 (0.05–0.28)
Accelerometry
SEDAge-gender9381.28 (0.80–2.03)2.47 (1.60–3.83)
+Lifestyle8351.40 (0.83–2.35)3.15 (1.95–5.10)
+MVPA8351.24 (0.73–2.11)2.45 (1.46–4.12)
+Fitness6332.23 (1.09–4.58)3.53 (1.76–7.09)
+MVPA and Fitness6331.97 (0.95–4.11)2.72 (1.31–5.63)
LIPAAge-gender9380.56 (0.37–0.83)0.50 (0.33–0.77)
+Lifestyle8350.49 (0.32–0.75)0.37 (0.23–0.59)
+MVPA8350.54 (0.35–0.84)0.42 (0.26–0.68)
+Fitness6330.63 (0.36–1.10)0.40 (0.21–0.77)
+MVPA and Fitness6330.71 (0.40–1.26)0.42 (0.22–0.81)
MVPAAge-gender9380.43 (0.29–0.65)0.39 (0.26–0.59)
+Lifestyle8350.44 (0.28–0.69)0.32 (0.24–0.60)
+SED8350.52 (0.33–0.83)0.55 (0.33–0.90)
+Fitness6330.43 (0.24–0.79)0.36 (0.19–0.66)
+SED and Fitness6330.51 (0.28–0.95)0.47 (0.24–0.90)
TPAAge-gender9300.36 (0.25–0.55)0.35 (0.23–0.54)
+Lifestyle8350.56 (0.36–0.86)0.33 (0.20–0.53)
+SED8350.76 (0.46–1.24)0.58 (0.30–1.12)
+MVPA8350.65 (0.40–1.08)0.44 (0.22–0.90)
+Fitness6330.58 (0.33–1.02)0.32 (0.16–0.62)
+SED, MVPA and Fitness6331.31 (0.57–2.99)1.42 (0.39–5.21)
SED boutsAge-gender9301.06 (0.68–1.66)1.73 (1.14–2.63)
+Lifestyle8351.16 (0.71–1.89)2.24 (1.42–3.53)
+MVPA8351.08 (0.66–1.76)1.79 (1.12–2.87)
+Fitness6331.35 (0.70–2.58)2.30 (1.22–4.32)
+MVPA and Fitness6331.27 (0.66–2.49)1.80 (0.93–3.48)
SED breaksAge-gender9380.74 (0.50–1.10)0.52 (0.34–0.81)
+Lifestyle8350.66 (0.43–1.02)0.47 (0.29–0.75)
+MVPA8350.76 (0.49–1.17)0.55 (0.34–0.88)
+Fitness6330.85 (0.48–1.52)0.54 (0.29–1.02)
+MVPA and Fitness6331.06 (0.58–1.92)0.65 (0.34–1.24)

OR for MetS for tertiles of sedentary time.

ORs are adjusted for gender, age, education level (university degree vs. not), energy intake (kcal·d-1 in quartiles), smoking habits (regular smoker vs. not) and psycho-social stress (self-reported into four levels), estimated VO2max (ml·min-1·kg-1, in tertiles) and % of wear time spent in MVPA (in tertiles). * Denotes significant difference to reference group.

OR for MetS for tertiles of time in LIPA.

ORs are adjusted for gender, age, education level (university degree vs. not), energy intake (kcal·d-1 in quartiles), smoking habits (regular smoker vs. not) and psycho-social stress (self-reported into four levels), % of wear time spent in MVPA (in tertiles), and estimated VO2max (ml·min-1·kg-1, in tertiles). * Denotes significant difference to reference group.

OR for MetS for tertiles of time in MVPA.

ORs are adjusted for gender, age, education level (university degree vs. not), energy intake (kcal·d-1 in quartiles), smoking habits (regular smoker vs. not) and psycho-social stress (self-reported into four levels), % of wear time spent in SED (in tertiles), and estimated VO2max (ml·min-1·kg-1, in tertiles). * Denotes significant difference to reference group.

OR for MetS for tertiles of fitness.

ORs are adjusted for gender, age, education level (university degree vs. not), energy intake (kcal·d-1 in quartiles), smoking habits (regular smoker vs. not) and psycho-social stress (self-reported into four levels), % of wear time spent in SED (in tertiles), and % of wear time spent in MVPA (in tertiles). * Denotes significant difference to reference group.

Stratified analysis across SED tertiles in high (above median) and low (below median) MVPA.

ORs are adjusted for gender, age (yrs.), education level (university degree vs. not), energy intake (kcal·d-1, in quartiles), smoking habits (regular vs. not), psychosocial stress (self-reported into four levels) and fitness (in tertiles).
  1 in total

1.  Cardiorespiratory Fitness, Sedentary Behaviour and Physical Activity Are Independently Associated with the Metabolic Syndrome, Results from the SCAPIS Pilot Study.

Authors:  Örjan Ekblom; Elin Ekblom-Bak; Annika Rosengren; Mattias Hallsten; Göran Bergström; Mats Börjesson
Journal:  PLoS One       Date:  2015-06-29       Impact factor: 3.240

  1 in total

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