Relationship between health services, socioeconomic variables and inadequate weight gain among Brazilian children.
This ecological analysis assessed the relative contribution of behavioural, health services and socioeconomic variables to inadequate weight gain in infants (0-11 months) and children (12-23 months) in 140 municipalities in the State of Ceara, north-east Brazil. To assess the total effect of selected variables, we fitted three unique sets of multivariate linear regression models to the prevalence of inadequate weight gain in infants and in children. The final predictive models included variables from the three sets. Findings showed that participation in growth monitoring and urbanization were inversely and significantly associated with the prevalence of inadequate weight gain in infants, accounting for 38.3% of the variation. Female illiteracy rate, participation in growth monitoring and degree of urbanization were all positively associated with prevalence of inadequate weight gain in children. Together, these factors explained 25.6% of the variation. Our results suggest that efforts to reduce the average municipality-specific female illiteracy rate, in combination with participation in growth monitoring, may be effective in reducing municipality-level prevalence of inadequate weight gain in infants and children in Ceara.
de Souza
A C
AC
Harvard School of Public Health, Department of Maternal and Child Health, Boston, MA, USA. Ana_Souza@harvard.edu
Peterson
K E
KE
Cufino
E
E
Gardner
J
J
Craveiro
M V
MV
Ascherio
A
A
D000293:Adolescent; D000328:Adult; D000704:Analysis of Variance; D001938:Brazil / Q000453:epidemiology; D002662:Child Health Services / Q000592:standards*; D015362:Child Nutrition Disorders / Q000453:epidemiology / Q000209:etiology*; D004522:Educational Status; D005260:Female; D006130:Growth Disorders / Q000453:epidemiology / Q000209:etiology*; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D016014:Linear Models; D008297:Male; D009035:Mothers / Q000193:education; D020380:Needs Assessment; D011204:Poverty Areas; D015995:Prevalence; D012307:Risk Factors; D019037:Urban Health Services / Q000592:standards*; D015430:Weight Gain