Mary K. Walingo
Maasai Mara University, Box 861-20500, Narok, Kenya
Lucy A. Mutuli
Masinde Muliro University of Science and Technology, Box 190, Kakamega, Kenya
ABSTRACT
This study was set up to understand breast-feeding behavior of mothers using a developed culture-specific tool grounded in the Theory of Planned Behavior (TPB) in western Kenya. The methods used in the study were Mixed Methods Approaches, in-depth interviews and FGDs. About 230 breast-feeding mothers (18-40 years) attending Baby Friendly Hospital Initiatives were randomly selected for participation in the study. Data analysis was done using Factor analysis, Principle Component Analysis with Varimax rotation. The averages of intention, perceived behavioral control-2 and subjective norm communalities were 0.76, 0.82 and 0.78, respectively. A unit increase in maternal attitude and in perceived behavioral control resulted in a 4.93 units decrease of breast-feeding intention on early initiation of breast-feeding within the first hour of birth (p = 0.0296) and a 36.44 unit's decrease breast-feeding intention on initiation of breast-feeding within the first hour of birth (p = 0.0151), respectively. These results supported content and construct validity and the tool was useful in measuring factors influencing breast-feeding behaviour.
PDF References
How to cite this article
Mary K. Walingo and Lucy A. Mutuli, 2015. Understanding Breast-Feeding Behavior of Mothers Using a Developed Culture Specific Tool Grounded in the Theory of Planned Behavior in Western Kenya. Pakistan Journal of Nutrition, 14: 29-36.
DOI: 10.3923/pjn.2015.29.36
URL: https://scialert.net/abstract/?doi=pjn.2015.29.36
DOI: 10.3923/pjn.2015.29.36
URL: https://scialert.net/abstract/?doi=pjn.2015.29.36
REFERENCES
- Ajzen, I., 1991. The theory of planned behavior. Organiz. Behav. Hum. Decis. Process., 50: 179-211.
CrossRefDirect Link - Chen, Y.C., Y.C. Wu and W.C. Chie, 2006. Effects of work-related factors on the breastfeeding behavior of working mothers in a Taiwanese semiconductor manufacturer: A cross-sectional survey. BMC Public Health, Vol. 6.
CrossRef - Dai, X. and C.L. Dennis, 2003. Translation and validation of the breastfeeding Self-efficacy scale into Chinese. J. Midwifery Women's Health, 48: 350-356.
CrossRef - Elliott, T.C., K.O. Agunda, J.G. Kigondu, S.N. Kinoti and M.C. Latham, 1985. Breastfeeding versus infant formula: The Kenyan case. Food Policy, 10: 7-10.
CrossRefDirect Link - Gray, S.J., 1995. Correlates of breastfeeding frequency among nomadic pastoralists of Turkana, Kenya: A retrospective study. Am. J. Phys. Anthropol., 98: 239-255.
CrossRef - Janke, J.R., 1992. Prediction of breast-feeding attrition: Instrument development. Applied Nurs. Res., 5: 48-53.
CrossRefDirect Link - Motee, A., D. Ramasawmy, P. Pugo-Gunsam and R. Jeewon, 2013. An assessment of the breastfeeding practices and infant feeding pattern among mothers in mauritius. J. Nutr. Metab.
CrossRefDirect Link - Nwankwo, B.O. and W.R. Brieger, 2002. Exclusive breastfeeding is undermined by use of other liquids in rural southwestern Nigeria. J. Trop. Pediatr., 48: 109-112.
PubMed - Naanyu, V., 2008. Young mothers, first time parenthood and exclusive breastfeeding in Kenya. Afr. J. Reprod. Health, 12: 125-138.
Direct Link - Nduati, R., G. John, D. Mbori-Ngacha, B. Richardson and J. Overbaugh et al., 2000. Effect of breastfeeding and formula feeding on transmission of HIV-1: A randomized clinical trial. JAMA, 283: 1167-1174.
CrossRefDirect Link - Swanson, V. and K.G. Power, 2005. Initiation and continuation of breastfeeding: Theory of planned behaviour. J. Adv. Nurs., 50: 272-282.
CrossRefDirect Link - Thurman, S.E. and P.J. Allen, 2007. Integrating lactation consultants into primary health care services: Are lactation consultants affecting breastfeeding success? Pediatr. Nurs., 34: 419-425.
Direct Link