TABLE 2—

Multiple Linear Regression Analysis of Covariates Associated with Iron Status Indicators in Rural Amazonians: Brazil, 2004

Dependent and Independent Variablesa	β Coefficient (95% CI)	P	R2	No.
Hemoglobinb			0.190	327
Age in years	0.252 (0.150, 0.354)	<.001
Gender	−9.676 (−13.226, −6.086)	<.001
Pregnancyc	−15.490 (−30.016, −0.963)	.037
G6PD deficiency	−7.091 (−15.947, −1.772)	.116
Constant	134.688 (129.439, 139.767)	<.001
Log SFb			0.233	323
Age in years	0.020 (0.015, 0.025)	<.001
Gender	−0.419 (−0.597, −0.242)	<.001
Geohelminth infectiond	−0.326 (−0.624, −0.027)	.033
Recent malariae	0.142 (−0.049, −0.322)	.145
Constant	3.797 (3.542, 4.052)	<.001
sTfRb			0.074	323
Age in years	−0.018 (−0.030, −0.006)	.004
Recent malaria	0.671 (0.215, 1.127)	.004
Constant	5.852 (5.241, 6.463)	<.001

Note. CI = confidence interval; G6PD = glucose-6-phosphate dehydrogenase; SF = serum ferritin; sTfR = soluble transferrin receptor.

^a The independent variables used in the multiple linear regression analysis were as follows: age (years; continuous variable); gender (1 = female); pregnancy (1 = yes); education of household head (0 = no schooling; 1 = 1–4 years of schooling; 2 = 5–8 years of schooling; 3 = > 8 years of schooling); wealth index (continuous variable); G6PD deficiency (1 = yes); current geohelminth infection (1 = yes); and recent or current malaria (1 = yes). Only variables associated with P values < .15 are shown.

^bDependent variable.

^cA separate model was built to include only women (n = 155), with similar results: B = −16.061 (95% CI = −31.100, −0.971); P = .037.

^dGeohelminths (overall prevalence, 11.6%) found in this population included hookworm (prevalence, 7.2%), Ascaris lumbricoides (4.3%), Strongyloides stercoralis (3.2%), and Trichuris trichiura (2.3%); Participants may be coinfected with more than one species.

^eMalaria in the past 6 months (prevalence, 32.2%) or current malaria (prevalence, 2.1%).