Inadequate Protein Intake at Specific Meals Is Associated with Higher Risk of Impaired Functionality in Middle to Older Aged Mexican Adults

Table 3

Summary of the significance of independent variables introduced in the multinomial logistic regression for estimating functionality.

	Functionality
	IADL^a		ADL^a
	Model 1	Model 2	Model 1	Model 2
Variables in the model^b	values		values
IPI day	0.42	0.24	0.40	0.82
IPI breakfast	0.15	0.77	0.75	0.29
IPI lunch	0.16	0.16	0.044	0.47
IPI dinner	0.51	0.035	0.17	0.95
Age	0.001	0.001	0.001	0.001
Sex	0.35	0.42	0.63	0.47
BMI categories	0.99	0.77	0.45	0.52
Diagnosed diseases	0.75	0.88	0.51	0.63
Model type	Pseudo-R^2f		Pseudo-R^2
Full model^c	0.379	0.382	0.426	0.402
Without the significant meal^d	NA	0.356	0.402	NA
Without age^e	0.141	0.114	0.204	0.148

^aOutcome variable. ^bIndependent variables. ^cIncluded all listed variables. ^dIncluded all variables except the IPI at the meal with a significant value. ^eIncluded all variables except the age. ^fNagelkerke pseudo-R². ADL: activities of daily living; IADL: instrumental activities of daily living; IPI: inadequate protein intake; IPI day: inadequate protein intake per day (<1.2 g/kg/d); Model 1: inadequate protein intake per meal considered as <30 g protein/meal; Model 2: inadequate protein intake per meal considered as <0.4 g protein/kg/meal; NA: not applicable.