Title |
CONSUMO DE LEITES EM MENORES DE UM ANO DE IDADE E VARIÁVEIS ASSOCIADAS AO CONSUMO DE LEITE NÃO MATERNO
|
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Published in |
Revista Paulista de Pediatria, January 2017
|
DOI | 10.1590/1984-0462/;2017;35;4;00004 |
Pubmed ID | |
Authors |
Paula Chuproski Saldan, Sonia Isoyama Venancio, Silvia Regina Dias Medici Saldiva, Daniele Gonçalves Vieira, Débora Falleiros de Mello |
Abstract |
To verify the type of milk consumed by children under one year of age and identify variables associated with non-maternal milk consumption (formula or cow milk). Cross-sectional study developed during the 2012 National Vaccination Campaign against Poliomyelitis. The companions of 935 children under one year of age answered a structured questionnaire on the child's diet in the last 24 hours. The estimates are presented by points, with 95%CI. F-statistics were used to check for differences in the proportion of the types of milk consumption according to the children's age range (<6 months and 6-11 months) and the association between non-maternal milk consumption and the study variables. The consumption of maternal milk and child formula was higher for children under six months of age - corresponding to 82.8% (95%CI 78.5-86.3) and 70.4% (95%CI 61.4-78.0), respectively -, whereas the consumption of cow milk was higher among children between 6 and 11 months of age - 74.2% (95%CI 66.5-80.6) -, with differences in the consumption proportions (p<0.0001). The variables associated with higher cow milk consumption were lower maternal education (p<0.0001), the fact that the mother does not have a paid occupation (p=0.0015), child doctor's appointment in the public health network (p<0.0001) and participation in the Child's Milk Program (p<0.0001). The infants received cow's milk early (before the first year of life), especially children from families with lower socioeconomic levels and children who took part in a specific social program for milk distribuition. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 33 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 3 | 9% |
Student > Doctoral Student | 2 | 6% |
Student > Ph. D. Student | 2 | 6% |
Professor > Associate Professor | 2 | 6% |
Student > Master | 2 | 6% |
Other | 4 | 12% |
Unknown | 18 | 55% |
Readers by discipline | Count | As % |
---|---|---|
Nursing and Health Professions | 5 | 15% |
Medicine and Dentistry | 5 | 15% |
Engineering | 2 | 6% |
Mathematics | 1 | 3% |
Computer Science | 1 | 3% |
Other | 3 | 9% |
Unknown | 16 | 48% |