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. 2015 Oct 7;11:253. doi: 10.1186/s12917-015-0570-y

Table 7.

Simple and multiple linear regression analysis to determine factors associated with change in serum albumin concentration

Variable R R2 Probability
Simple regression
 Agea 0.22 0.05 0.274
 Sex 0.18 0.03 0.357
 Neuter status 0.01 0.00 0.956
 Duration of weight loss −0.39 0.15 0.046
 Percentage weight loss 0.01 0.00 0.941
 Mean EI during weight lossb 0.04 0.00 0.856
 Mean rate of weight lossc 0.19 0.04 0.344
 Starting percentage body fat −0.28 0.08 0.150
 Change in fat massd −0.02 0.00 0.921
 Change in lean massd −0.07 0.00 0.718
Mean daily intake < RDAe
 Methionine & Cysteine −0.12 0.01 0.566
 Tryptophan −0.03 0.00 0.895
 Choline −0.07 0.00 0.714
Minimum daily intake < RDAf
 Methionine & Cysteine −0.14 0.02 0.482
 Tryptophan −0.03 0.00 0.894
 Choline 0.26 0.07 0.184
Final multiple regression model
 Duration of weight loss −0.39 0.15 0.046

All data are expressed as median (range). EI: energy intake; RDA: recommended daily allowance

aAge at the start of the weight loss programme

bMean energy intake expressed as metabolisable energy (in kJ [Kcal]) per kg of metabolic body weight (BW0.75) per day

cMean rate of weight loss expressed as percentage of starting body weight per week

dPercentage change in fat or lean mass between the start and end of the weight loss period; positive and negative values represent gains and losses in lean mass, respectively

eDummy variable created whereby 1 = the mean daily intake of each nutrient less than the NRC 2006 RA, and 0 when it was greater [15]

fDummy variable created whereby 1 was assigned when the minimum daily intake of the nutrient less than the NRC 2006 RA, and 0 was assigned when it was greater [15]