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The Relation Between Family Support and Breastfeeding Mother’s Self-Efficacy

Authors :
Ni Ketut Alit Armini
Tiyas Kusumaningrum
Anis Lutfiani
Source :
Journal of Computational and Theoretical Nanoscience. 17:3053-3057
Publication Year :
2020
Publisher :
American Scientific Publishers, 2020.

Abstract

The achievement rates for exclusive breastfeeding are still not encouraging. One of the factors that caused it is lack of support from the mothers’ husbands or family in the process of exclusive breastfeeding. This support is very pivotal since it may motivate and give mothers the confidence to breastfeed. To find out the relationship between family support and maternal self-efficacy in exclusive breastfeeding. This study uses a cross sectional approach, which consists of the dependent variable (self-efficacy) and the independent variable (family support). The inclusion criteria are as follow: (1) breastfeeding mothers who have babies aged 1-6 months (2) mothers who live with their nuclear family in one house (3) mothers who live with their extended families in one house (4) mothers are able to read and write. The sampling technique used was non-probability purposive sampling using questionnaire as an instrument. Then the data were analyzed using the Spearman’s Rho statistical correlation test with a significance ofp≤ 0.05. The total respondents of this study were 49 people. The most obtained data is nursing mothers who experience good self-efficacy (69.4%). Statistical test results with Spearman’s rho obtainedpvalue = 0.000 (α< 0.05) which means that there is a relationship between family support and self-efficacy, with the strength of the relationship (r= 0.854) indicating that it is very strong with the same value direction, i.e., if the family support of the mother is lower, then the self-efficacy of the mother will be low. There is a relationship between family support and self-efficacy in breastfeeding mothers. The higher family support, the higher the level of self-efficacy

Details

ISSN :
15461955
Volume :
17
Database :
OpenAIRE
Journal :
Journal of Computational and Theoretical Nanoscience
Accession number :
edsair.doi...........d4c03855c4ab6f04faa6f03e38b8a44b
Full Text :
https://doi.org/10.1166/jctn.2020.9134