Spelling suggestions: "subject:"consumption patterns""
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Relationship between Consumption patterns and Waste CompositionChunsheng, Guo January 2009 (has links)
The purpose of this study is to explore whether changes in consumption patterns contributed to the changes in waste composition in Jinan during 1999-2008 and to predict trend of the waste composition relevant total household consumer expenditure in the future 10 years. The results reveal that household consumption is the most significant contributors in changes of waste composition. Although this study points to the possibility of predictions for several important fraction such as food scraps, metal, glass, paper and plastic by according to household consumption, these predictions has not been strong enough to decrease errors, a trend can only be given in the future 10 years.
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An assessment of food consumption patterns of selected households of Mbilwi and Matavhela Villages in Thulamela Municipality, Limpopo Province of South AfricaMagadze, A. A. 18 September 2017 (has links)
MRDV / Instutute for Rural Development / Health and wellbeing of humans is affected by their eating habits, patterns and choice of meals. This research discusses food consumption patterns of selected households of Mbilwi and Matavhela villages in Thulamela Municipality, Limpopo Province of South Africa. The study identified types of food consumed and the nutritional knowledge of households living in the study area. In addition, the study assessed the knowledge of households on how food choices affect their health. Lastly an analysis of socio-economic factors that influence food consumption patterns in households living in Mbilwi and Matavhela villages was investigated. Using purposive sampling, qualitative and quantitative inquiry were used to explore the research objectives. A sample size of 50 and 47 households from each village were selected respectively and the heads of each household were interviewed. Thematic content analysis was used to categorise data into themes, to address and interpret qualitative data. Themes were generated as the units for analysis based on the objectives of the study to enable interpretation of qualitative information. The quantitative data was analysed using Statistical Packages for Social Sciences (SPSS) version 23.0.
The findings indicated that there was no variety in foods consumed by households in both the weekly food consumption pattern and 24-hour food recall. There was also limited nutrition knowledge of the foods consumed in households of both villages. Households usually consumed energy giving foods such as carbohydrates and body building foods such as proteins. There was low consumption of milk and milk products, fruit and vegetable food groups. Various socio-economic factors such as income, living conditions, health, nutrition knowledge, culture, religion and lack of time to prepare food, affected eating habits. Some foods were recommended or condoned based on religious and cultural factors. Most households were unemployed and relied on government grants and remittances from family members working in the metropolitan centres.
The findings in this study provide a better understanding of food access, availability and consumption in rural areas which can also assist in the formulation of policies that would improve quality of food consumption in rural areas. This study presented an opportunity that can be filled by institutions working in rural areas to support and strengthen their activities. Information sharing with households on the benefits of balanced diets can contribute to the health and the well-being of the society. The emphasis must be on strengthening backyard vegetable/fruit gardens and community food gardening programmes for household consumption
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and sale, to generate income. These programmes can also offer fruit/vegetable preservation skills to households in order to help improve the shelf life of the produce. Policy makers must encourage provision of nutritional knowledge to households through different media and channels such as television, clinics, hospitals, schools, and newspapers.
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