Infant feeding knowledge, attitudes and practices of mothers in private health facilities in Alice town, Eastern Cape, South Africa
- Authors: Oyeniran, Aderonke Adepeju
- Date: 2022-07
- Subjects: Breastfeeding
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10353/23556 , vital:58132
- Description: Background and aim of the study: Within the global field of health education, it is generally accepted that the topic of breast-feeding is a crucial discussion due to its maternal, infant, and communal benefits. However, certain African countries, such as South Africa, experience certain challenges related to both predictive factors and maternal attitudes to breast-feeding. To improve public awareness and promote the implementation of breast-feeding, these factors should be investigated to highlight the importance of this practice among young mothers. Method: The study utilised a cross-sectional survey by means of a self-administered questionnaire, which was completed by the carefully chosen participants. The collected data were then analysed using a statistical package for social sciences (SPSS) (frequency, percentages, mean and standard deviation) and inferential statistics (logistic regression). The level of significance for the inferential statistics was set at 0.05. Results: A total of 377 infant mothers participated in the study with median age of 30. Most infant mothers that participated in the study were well educated with infant mother 189 having a bachelor’s degree. The findings revealed that mothers of 40 years above are 1.51 times more likely not to breastfeed exclusively compared to mothers of less than 40 years of age (95percent CI, 0.75-2.25). The odds ratio of the incidence of decision in breastfeeding for participants with breastfeeding and formula milk was 1.66 (95percent CI, 0.87-2.53). In term of family support, mothers who don’t receive family support were 3.43 times more likely no to breastfeed. The result also revealed that mothers with breast pain were 0.98 more likely not to breastfeed. Conclusion: This study concludes that infant mothers are well informed about breastfeeding. This study also revealed that factors such as infant mothers’ knowledge about breastfeeding, medical health of both mother and infant and cultural norms can go a long way in influencing the decision of mothers to breastfeeding their infant or not. , Thesis (MPH) -- Faculty of Health Sciences, 2022
- Full Text:
- Date Issued: 2022-07
- Authors: Oyeniran, Aderonke Adepeju
- Date: 2022-07
- Subjects: Breastfeeding
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10353/23556 , vital:58132
- Description: Background and aim of the study: Within the global field of health education, it is generally accepted that the topic of breast-feeding is a crucial discussion due to its maternal, infant, and communal benefits. However, certain African countries, such as South Africa, experience certain challenges related to both predictive factors and maternal attitudes to breast-feeding. To improve public awareness and promote the implementation of breast-feeding, these factors should be investigated to highlight the importance of this practice among young mothers. Method: The study utilised a cross-sectional survey by means of a self-administered questionnaire, which was completed by the carefully chosen participants. The collected data were then analysed using a statistical package for social sciences (SPSS) (frequency, percentages, mean and standard deviation) and inferential statistics (logistic regression). The level of significance for the inferential statistics was set at 0.05. Results: A total of 377 infant mothers participated in the study with median age of 30. Most infant mothers that participated in the study were well educated with infant mother 189 having a bachelor’s degree. The findings revealed that mothers of 40 years above are 1.51 times more likely not to breastfeed exclusively compared to mothers of less than 40 years of age (95percent CI, 0.75-2.25). The odds ratio of the incidence of decision in breastfeeding for participants with breastfeeding and formula milk was 1.66 (95percent CI, 0.87-2.53). In term of family support, mothers who don’t receive family support were 3.43 times more likely no to breastfeed. The result also revealed that mothers with breast pain were 0.98 more likely not to breastfeed. Conclusion: This study concludes that infant mothers are well informed about breastfeeding. This study also revealed that factors such as infant mothers’ knowledge about breastfeeding, medical health of both mother and infant and cultural norms can go a long way in influencing the decision of mothers to breastfeeding their infant or not. , Thesis (MPH) -- Faculty of Health Sciences, 2022
- Full Text:
- Date Issued: 2022-07
Infant feeding knowledge, attitudes and practices of mothers in private health facilities in Alice Town, Eastern Cape, South Africa
- Authors: Oyeniran, Aderonke Adepeju
- Date: 2022-07
- Subjects: Infants -- Nutrition , Baby foods , Breastfeeding
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10353/27139 , vital:66315
- Description: Background and aim of the study: Within the global field of health education, it is generally accepted that the topic of breast-feeding is a crucial discussion due to its maternal, infant, and communal benefits. However, certain African countries, such as South Africa, experience certain challenges related to both predictive factors and maternal attitudes to breast-feeding. To improve public awareness and promote the implementation of breast-feeding, these factors should be investigated to highlight the importance of this practice among young mothers. Method: The study utilised a cross-sectional survey by means of a self-administered questionnaire, which was completed by the carefully chosen participants. The collected data were then analysed using a statistical package for social sciences (SPSS) (frequency, percentages, mean and standard deviation) and inferential statistics (logistic regression). The level of significance for the inferential statistics was set at 0.05. Results: A total of 377 infant mothers participated in the study with median age of 30. Most infant mothers that participated in the study were well educated with infant mother 189 having a bachelor’s degree. The findings revealed that mothers of 40 years above are 1.51 times more likely not to breastfeed exclusively compared to mothers of less than 40 years of age (95percent CI, 0.75-2.25). The odds ratio of the incidence of decision in breastfeeding for participants with breastfeeding and formula milk was 1.66 (95percent CI, 0.87-2.53). In term of family support, mothers who don’t receive family support were 3.43 times more likely no to breastfeed. The result also revealed that mothers with breast pain were 0.98 more likely not to breastfeed. Conclusion: This study concludes that infant mothers are well informed about breastfeeding. This study also revealed that factors such as infant mothers’ knowledge about breastfeeding, medical health of both mother and infant and cultural norms can go a long way in influencing the decision of mothers to breastfeeding their infant or not. , Thesis (MPH) -- Faculty of Health Sciences, 2022
- Full Text:
- Date Issued: 2022-07
- Authors: Oyeniran, Aderonke Adepeju
- Date: 2022-07
- Subjects: Infants -- Nutrition , Baby foods , Breastfeeding
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10353/27139 , vital:66315
- Description: Background and aim of the study: Within the global field of health education, it is generally accepted that the topic of breast-feeding is a crucial discussion due to its maternal, infant, and communal benefits. However, certain African countries, such as South Africa, experience certain challenges related to both predictive factors and maternal attitudes to breast-feeding. To improve public awareness and promote the implementation of breast-feeding, these factors should be investigated to highlight the importance of this practice among young mothers. Method: The study utilised a cross-sectional survey by means of a self-administered questionnaire, which was completed by the carefully chosen participants. The collected data were then analysed using a statistical package for social sciences (SPSS) (frequency, percentages, mean and standard deviation) and inferential statistics (logistic regression). The level of significance for the inferential statistics was set at 0.05. Results: A total of 377 infant mothers participated in the study with median age of 30. Most infant mothers that participated in the study were well educated with infant mother 189 having a bachelor’s degree. The findings revealed that mothers of 40 years above are 1.51 times more likely not to breastfeed exclusively compared to mothers of less than 40 years of age (95percent CI, 0.75-2.25). The odds ratio of the incidence of decision in breastfeeding for participants with breastfeeding and formula milk was 1.66 (95percent CI, 0.87-2.53). In term of family support, mothers who don’t receive family support were 3.43 times more likely no to breastfeed. The result also revealed that mothers with breast pain were 0.98 more likely not to breastfeed. Conclusion: This study concludes that infant mothers are well informed about breastfeeding. This study also revealed that factors such as infant mothers’ knowledge about breastfeeding, medical health of both mother and infant and cultural norms can go a long way in influencing the decision of mothers to breastfeeding their infant or not. , Thesis (MPH) -- Faculty of Health Sciences, 2022
- Full Text:
- Date Issued: 2022-07
Application of the Lewis Labour Surplus Model in the smallholder agricultural sector of the Eastern Cape Province
- Mgwangqa, Noluchulumanco Petronella
- Authors: Mgwangqa, Noluchulumanco Petronella
- Date: 2015-06
- Subjects: Economic development -- Mathematical models , Labor economics , Surplus (Economics)
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10353/23969 , vital:62148
- Description: Rural-urban migration is historically connected to industrialization, urbanization and economic growth. The Lewis model is one of the development theories which provide a good framework of explaining the ways in which the fruits of economic development are spread. Previous studies done in Lewis model in South Africa are still minimal and are only related to the mining sector. Understanding the Lewis labour surplus model in the smallholder agricultural sector is very crucial as agriculture is one of the industries that contribute to the GDP of the country. The application of the Lewis model in the agricultural sector will contribute modestly to available knowledge on labour transition, clarify the ongoing argument on the broad application of the Lewis labour surplus model and more importantly is the need to tease out factors that confirm its validity to the given environment. Thus, the research examines the applicability of the Lewis labour surplus model in the smallholder agricultural sector of the Eastern Cape. It first describes the rate of rural urban migration, causes of rural-urban migration and determines the impact of rural-urban migration on agricultural production.The study was carried in Nkonkobe and Mnquma local Municipalities. Both local municipality were purposively selected because of the high numbers of youth known to have migrated to the urban centres.This study employed a cross-sectional research design. Data was collected at one point in time. Multistage random sampling technique was employed to arrive at the sample size of the study. Data was analysed using descriptive and econometric models. Linear regression model was used to examine the causes of rural urban migration and T-test was also used to test the wage rate difference between rural and urban areas. Lastly Cobb Douglas model was used to test the impact of rural-urban migration on agricultural production. The findings of this research showed that rural urban migration is caused by higher wages, employment opportunities, lack of infrastructure and access to productive land. The results also indicated that urban areas have higher wages than rural areas. Lastly this study provides evidence that the loss of labour through increases in the existing rural-urban migration following rapid urbanizations has an impact on agricultural production. The government should formulate effective policy making in tackling the problems that force people to leave their rural origin and narrowing the development gap between urban and rural areas through the introduction of rural development strategies and effective urban management. , Thesis (MSc) -- Faculty of Science and Agriculture, 2015
- Full Text:
- Date Issued: 2015-06
- Authors: Mgwangqa, Noluchulumanco Petronella
- Date: 2015-06
- Subjects: Economic development -- Mathematical models , Labor economics , Surplus (Economics)
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10353/23969 , vital:62148
- Description: Rural-urban migration is historically connected to industrialization, urbanization and economic growth. The Lewis model is one of the development theories which provide a good framework of explaining the ways in which the fruits of economic development are spread. Previous studies done in Lewis model in South Africa are still minimal and are only related to the mining sector. Understanding the Lewis labour surplus model in the smallholder agricultural sector is very crucial as agriculture is one of the industries that contribute to the GDP of the country. The application of the Lewis model in the agricultural sector will contribute modestly to available knowledge on labour transition, clarify the ongoing argument on the broad application of the Lewis labour surplus model and more importantly is the need to tease out factors that confirm its validity to the given environment. Thus, the research examines the applicability of the Lewis labour surplus model in the smallholder agricultural sector of the Eastern Cape. It first describes the rate of rural urban migration, causes of rural-urban migration and determines the impact of rural-urban migration on agricultural production.The study was carried in Nkonkobe and Mnquma local Municipalities. Both local municipality were purposively selected because of the high numbers of youth known to have migrated to the urban centres.This study employed a cross-sectional research design. Data was collected at one point in time. Multistage random sampling technique was employed to arrive at the sample size of the study. Data was analysed using descriptive and econometric models. Linear regression model was used to examine the causes of rural urban migration and T-test was also used to test the wage rate difference between rural and urban areas. Lastly Cobb Douglas model was used to test the impact of rural-urban migration on agricultural production. The findings of this research showed that rural urban migration is caused by higher wages, employment opportunities, lack of infrastructure and access to productive land. The results also indicated that urban areas have higher wages than rural areas. Lastly this study provides evidence that the loss of labour through increases in the existing rural-urban migration following rapid urbanizations has an impact on agricultural production. The government should formulate effective policy making in tackling the problems that force people to leave their rural origin and narrowing the development gap between urban and rural areas through the introduction of rural development strategies and effective urban management. , Thesis (MSc) -- Faculty of Science and Agriculture, 2015
- Full Text:
- Date Issued: 2015-06
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