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Correction to: Meal analysis for understanding eating behavior: meal- and participant-specific predictors for the variance in energy and macronutrient intake.

Carolina Schwedhelm1,2, Khalid Iqbal3,4, Lukas Schwingshackl5, George O Agogo6, Heiner Boeing3, Sven Knüppel3,7.   

Abstract

Following publication of the original article [1], the authors reported an error in Table 3. The correct Table 3 is provided below.

Entities:  

Year:  2019        PMID: 31023292      PMCID: PMC6485159          DOI: 10.1186/s12937-019-0453-3

Source DB:  PubMed          Journal:  Nutr J        ISSN: 1475-2891            Impact factor:   3.271


Correction to: Nutr J https://doi.org/10.1186/s12937-019-0440-8 Following publication of the original article [1], the authors reported an error in Table 3. The correct Table 3 is provided below.
Table 3

Relative importance of predictors of energy intake (kcal/meal)a

CovariatesbBreakfastLunchAfternoon snackDinner
Beta-weight (95%CI)cCorrelation (95%CI)Pratt Index (95%CI)Beta-weight (95%CI)Correlation (95%CI)Pratt Index (95%CI)Beta-weight (95%CI)Correlation (95%CI)Pratt Index (95%CI)Beta-weight (95%CI)Correlation (95%CI)Pratt Index (95%CI)
Intake-level covariates
Week/weekend day (y/n)0.10 (0.04;0.14)0.11 (0.06;0.16)24%d(5;46)0.04 (− 0.01;0.09)0.06 (0.01;0.10)10% (0;33)0.10 (0.05;0.15)0.13 (0.08;0.17)12% (4;22)−0.02 (− 0.07;0.02)−0.02 (− 0.06;0.03)1% (0;12)
Season (winter/ summer)−0.04 (− 0.08;0.01)−0.04 (− 0.08;0.00)3% (0;16)0.01 (− 0.04;0.05)− 0.01 (− 0.05;0.04)0% (0;11)0.03 (− 0.02;0.07)0.02 (− 0.02;0.07)1% (0;4)0.03 (− 0.01;0.07)0.03 (− 0.01;0.08)4% (0;16)
Special day (y/n)0.00 (− 0.06;0.06)0.03 (− 0.03;0.09)0% (− 1;10)0.04 (0.00;0.09)0.05 (0.00;0.010)10% (0;34)0.07 (0.02;0.12)0.11 (0.06;0.16)7% (1;16)0.06 (0.01;0.10)0.09 (0.04;0.13)16% (1;38)
Prior interval (hours)−0.02 (− 0.08;0.04)− 0.01 (− 0.07;0.05)1% (0;12)0.04 (0.00;0.08)0.05 (0.01;0.09)10% (0;34)0.15 (0.11;0.120)0.19 (0.14;0.23)27% (15;40)0.07 (0.02;0.11)0.08 (0.04;0.12)17% (3;36)
Place of meal (ref: home)
 Work−0.14 (− 0.24;-0.04)− 0.14 (− 0.25;-0.04)45% (4;73)−0.12 (− 0.19;-0.04)−0.12 (− 0.19;-0.04)60% (10;85)−0.19 (− 0.25;-0.13)−0.24 (− 0.30;-0.18)43% (24;60)− 0.07 (− 0.14;-0.00)−0.08 (− 0.15;-0.01)18% (0;48)
 Restaurant0.11 (0.06;0.15)0.11 (0.07;0.15)27% (8;54)0.02 (− 0.03;0.07)0.05 (0.00;0.09)4% (1;29)0.02 (−0.03;0.07)0.04 (−0.01;0.09)1% (0;5)0.11 (0.06;0.15)0.12 (0.08;0.16)43% (17;64)
 Other0.01 (−0.06;0.07)0.01 (− 0.06;0.07)0% (0;13)−0.05 (− 0.10;0.00)−0.03 (− 0.08;0.02)6% (0;31)0.08 (0.03;0.13)0.13 (0.08;0.18)10% (3;20)0.01 (− 0.05;0.07)0.02 (− 0.04;0.08)1% (0;17)
R-squared (95%CI)0.04 (0.03;0.09)0.02 (0.01;0.05)0.11 (0.08;0.14)0.03 (0.02;0.05)
Participant-level covariates
BMI (kg/m2)−0.08 (− 0.18;0.00)−0.07 (− 0.16;0.02)3% (0;14)− 0.07 (− 0.21;0.06)−0.04 (− 0.19;0.10)1% (0;12)− 0.03 (− 0.17;0.08)− 0.04 (− 0.18;0.07)2% (0;24)0.08 (− 0.02;0.17)0.09 (− 0.01;0.18)2% (0;9)
Age (years)0.15 (0.02;0.26)0.21 (0.13;0.30)17% (2;33)0.12 (− 0.07;0.30)0.28 (0.13;0.43)12% (−4;33)− 0.01 (− 0.18;0.18)0.04 (− 0.09;0.17)0% (− 7;24)− 0.08 (− 0.22;0.07)−0.03 (− 0.13;0.09)1% (− 1;8)
Sex (M/W)− 0.34 (− 0.43;-0.25)−0.34 (− 0.41;-0.26)64% (39;80)−0.46 (− 0.65;-0.31)−0.40 (− 0.56;-0.27)66% (34;82)− 0.26 (− 0.39;-0.14)− 0.21 (− 0.31;-0.10)76% (17;86)−0.51 (− 0.58;-0.43)−0.50 (− 0.57;-0.44)90% (72;95)
Education level (ref. current/no training)
 Technical college−0.01 (− 0.11;0.09)−0.07 (− 0.15;0.02)0% (− 1;8)− 0.03 (− 0.17;0.09)−0.04 (− 0.17;0.08)1% (− 1;8)0.03 (− 0.10;0.15)− 0.01 (− 0.13;0.10)0% (− 2;16)− 0.04 (− 0.15;0.07)− 0.15 (− 0.25;-0.05)2% (− 2;12)
 University− 0.01 (− 0.11;0.08)0.06 (− 0.02;0.14)0% (− 2;6)− 0.10 (− 0.25;0.03)−0.02 (− 0.16;0.11)1% (− 3;10)−0.02 (− 0.15;0.13)0.02 (− 0.10;0.14)0% (− 2;18)0.03 (− 0.07;0.14)0.15 (0.06;0.26)2% (− 2;11)
Occupation (ref. no job/ retired)e
 Full time0.02 (− 0.11;0.16)− 0.06 (− 0.16;0.03)0% (− 3;8)−0.09 (− 0.30;0.10)− 0.19 (− 0.38;-0.02)6% (−3;28)0.01 (− 0.17;0.22)0.01 (− 0.13;0.15)0% (− 4;26)0.02 (− 0.12;0.15)0.08 (− 0.02;0.18)1% (− 2;8)
 Part time/hourly− 0.06 (− 0.16;0.03)− 0.14 (− 0.24;-0.04)5% (− 1;18)− 0.00 (− 0.17;0.16)−0.08 (− 0.23;0.07)0% (− 1;12)−0.01 (− 0.13;0.10)−0.05 (− 0.17;0.06)1% (− 2;20)0.09 (− 0.01;0.19)0.03 (− 0.07;0.12)1% (− 1;7)
Physical activity (h/week)0.04 (− 0.04;0.12)0.04 (− 0.03;0.12)1% (0;7)0.14 (0.00;0.28)0.15 (0.02;0.27)7% (0;19)0.05 (− 0.05;0.15)0.02 (− 0.08;0.13)2% (− 1;17)0.07 (− 0.02;0.16)−0.03 (− 0.13;0.05)0% (− 2;3)
Smoking status (ref. never smoker)
 Current smoker0.25 (0.08;0.42)0.04 (−0.04;0.12)5% (−4;19)0.23 (−0.00;0.48)0.05 (− 0.08;0.16)4% (− 4;20)0.20 (− 0.04;0.42)0.09 (− 0.03;0.21)25% (− 3;62)0.05 (− 0.13;0.24)−0.17 (− 0.27;-0.07)0% (− 11;9)
 Former smoker0.18 (0.01;0.35)0.06 (− 0.03;0.14)6% (− 1;20)0.12 (− 0.12;0.38)0.03 (− 0.09;0.16)1% (− 2;15)0.04 (− 0.18;0.25)−0.05 (− 0.17;0.07)0% (− 12;22)0.08 (− 0.10;0.27)0.18 (0.08;0.28)5% (−4;20)
R-squared (95%CI)0.18 (0.13;0.26)0.28 (0.18;0.54)0.07 (0.05;0.19)0.28 (0.23;0.39)

aPratt Index, in % contribution to the variance explained by the model (R2). Might not add up to 100% due to rounding errors from parameter estimates

bfor dichotomous variables, the information shown is for the underlined category (reference category not underlined)

call 95% confidence intervals (95%CI) – for beta-weights, correlations, r-squared, and Pratt Index – are bootstrap confidence intervals based on 1000 samples

dbold numbers indicate covariates accounting for > 10% of the explained variance

efull time: > 35 h/week; part time/hourly: < 35 h/week

Relative importance of predictors of energy intake (kcal/meal)a aPratt Index, in % contribution to the variance explained by the model (R2). Might not add up to 100% due to rounding errors from parameter estimates bfor dichotomous variables, the information shown is for the underlined category (reference category not underlined) call 95% confidence intervals (95%CI) – for beta-weights, correlations, r-squared, and Pratt Index – are bootstrap confidence intervals based on 1000 samples dbold numbers indicate covariates accounting for > 10% of the explained variance efull time: > 35 h/week; part time/hourly: < 35 h/week
  1 in total

1.  Meal analysis for understanding eating behavior: meal- and participant-specific predictors for the variance in energy and macronutrient intake.

Authors:  Carolina Schwedhelm; Khalid Iqbal; Lukas Schwingshackl; George O Agogo; Heiner Boeing; Sven Knüppel
Journal:  Nutr J       Date:  2019-03-07       Impact factor: 3.271

  1 in total

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