Table 1.

Association between Total Height, Stunting, Underweight and Overweight with Age, Education, Rural Residence, an Indicator of “Poor” State for the Mexican Population aged 20 or older: ENSANUT 2006

Covariates	Total Heighta		Stuntingb,c		Underweightc BMI ≤ 18.5		Overweightc BMI ≥ 25
	Males	Females	Males	Females	Males	Females	Males	Females
Age (ref=20–29)
30–39	−1.20 [−2.92,0.51]	−0.78 [−1.71,0.15]	1.79 [0.74,4.31]	1.70 [0.59,4.95]	0.40 [0.05,3.36]	0.06*** [0.02,0.22]	2.62*** [1.66,4.12]	2.57*** [1.78,3.73]
40–49	−1.81* [−3.35, −0.27]	−1.60** [−2.62, −0.58]	2.19 [0.95,5.06]	1.18 [0.46,3.03]	0.60 [0.11,3.44]	0.02*** [0.00,0.13]	3.40*** [2.20,5.27]	4.94*** [3.37,7.25]
50–59	−3.09*** [−4.89, −1.30]	−2.54*** [−3.73, −1.36]	3.50** [1.43,8.60]	2.43 [0.91,6.52]	0.37 [0.08,1.76]	0.07** [0.01,0.35]	3.39*** [2.06,5.60]	4.69*** [3.08,7.14]
60–69	−2.85*** [−4.50, −1.20]	−3.87*** [−5.07, −2.68]	3.38** [1.35,8.49]	6.65*** [2.74,16.16]	0.99 [0.18,5.40]	1.00 [1.00,1.00]	3.59*** [2.10,6.12]	3.00*** [1.79,5.05]
70–+	−6.02*** [−8.13, −3.91]	−5.84*** [−7.26, −4.41]	7.75*** [3.07,19.57]	14.35*** [6.34,32.50]	1.52 [0.46,5.05]	0.37 [0.09,1.47]	1.58 [0.92,2.74]	1.40 [0.80,2.45]
Low Education	−3.52*** [−4.76, −2.29]	−4.07*** [−4.96, −3.18]	4.70*** [2.00,11.02]	5.29* [1.06,26.52]	0.36* [0.14,0.94]	0.29** [0.11,0.74]	1.46* [1.00,2.11]	2.08*** [1.47,2.94]
Rural	−0.47 [−1.76,0.81]	−0.11 [−0.77,0.54]	1.43 [0.84,2.44]	0.89 [0.52,1.53]	1.76 [0.55,5.59]	2.67 [0.85,8.39]	0.65** [0.48,0.89]	0.89 [0.69,1.15]
Poor State	−3.71*** [−4.70, −2.72]	−2.63*** [−3.29, −1.98]	2.46** [1.43,4.23]	2.36** [1.30,4.30]	0.30* [0.10,0.93]	0.41 [0.11,1.48]	0.95 [0.71,1.27]	0.77* [0.60,0.99]
Stunted	--------	--------	--------	--------	0.29 [0.06,1.34]	n.a.d	0.74 [0.44,1.25]	0.77 [0.37,1.59]

^***p<0.001,

^**p<0.01

^*p<0.05

^aCoefficients from OLS regression;

^bStunting is defined as total height <1.55 meters for males and < 1.40 meters for females;

^cCoefficients from logistic regression;

^dNot enough sample size to estimate this coefficient.

Note: Coefficient estimates and 95% confidence intervals (shown in brackets). All estimates are weighted taking into account the complex sampling design of the survey.