Atsuko Kawano1, Yoko Emori, Sachiyo Miyagawa. 1. Graduate School of Comprehensive Human Sciences, University of Tsukuba, 1-1-1-D, Tennodai Tsukuba, Ibaraki, Japan. aatsuko313@hotmail.com
Abstract
OBJECTIVE: We examined the association between biochemical parameters of stress in puerperae and immune substances in breast milk. METHODS: The participants were 22 mothers 2 weeks after delivery, with normal pregnancy/delivery and a normal puerperal course. We measured the levels of secretory immunoglobulin A (SIgA) and cortisol in saliva and the level of SIgA and the leukocyte count in breast milk and investigated their association. RESULTS: There was a positive correlation between the salivary and breast milk levels of SIgA (r = .536, p < .05). However, there were no correlations among the salivary level of cortisol and the level of SIgA and leukocyte count in breast milk. CONCLUSIONS: The only association found in our study was between the salivary and breast milk SIgA. The lack of association among SIgA and cortisol may be related to a variety of factors such as production site, diurnal rhythms, and the interval between stress stimulation in mothers and the response of the biomarker.
OBJECTIVE: We examined the association between biochemical parameters of stress in puerperae and immune substances in breast milk. METHODS: The participants were 22 mothers 2 weeks after delivery, with normal pregnancy/delivery and a normal puerperal course. We measured the levels of secretory immunoglobulin A (SIgA) and cortisol in saliva and the level of SIgA and the leukocyte count in breast milk and investigated their association. RESULTS: There was a positive correlation between the salivary and breast milk levels of SIgA (r = .536, p < .05). However, there were no correlations among the salivary level of cortisol and the level of SIgA and leukocyte count in breast milk. CONCLUSIONS: The only association found in our study was between the salivary and breast milk SIgA. The lack of association among SIgA and cortisol may be related to a variety of factors such as production site, diurnal rhythms, and the interval between stress stimulation in mothers and the response of the biomarker.
Authors: Shelley Thibeau; Karen D'Apolito; Ann F Minnick; Mary S Dietrich; Bradley Kane; Shaun Cooley; Maureen Groer Journal: Breastfeed Med Date: 2015-12-24 Impact factor: 1.817
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