Urbanization Challenges in Poor Slum Areas of Nairobi and the Role of Sustainability Science in Seeking Practical Solutions

The chapter examines major sustainability challenges faced by people in the poor urban slums of Nairobi, Kenya. The objective of this study was to specifically examine challenges faced in the city’s slum areas, and application of sustainability science in seeking solutions. The study relied largely on secondary information available in print material. Site visits, discussions and observation were also applied in seeking information. The slum areas in Nairobi can be said to be a consequence of a multiplicity of factors ranging from old colonial policies, to post independence factors of governance which over time have resulted in migrations from rural to urban areas. Further, natural population increase and rise in cost of living for wage earners in the central business areas of the city have equally pushed families to slum, peri-urban or near-slum areas. The existing concentration of people in slum areas is an adaptation to poverty conditions. Slums residents are exposed to many challenges some of which include inadequacies of shelter, food, water and sanitation, infrastructure and other aspects of economic or social deprivations. In order to approach sustainability of livelihoods in poor slum areas, existing challenges and their impacts on livelihood have to be identified and solutions sought. The paper notes that in addressing slum challenges, a critical aspect is to first and foremost lower the cost of living and in effect facilitate provision of food, better shelter, clean water and other essential social amenities. As a way of tackling poverty, there’s need to reflect on governance and democracy, including women empowerment and to tap on the potentials of the slum dwellers by encouraging participation and improving on their innovations. Sustainability science research can help analyse on-going slum dynamics, identification of key drivers or factors that lead to deprivation and seek solutions or adaptive measures that can improve the wellbeing of poor slum dwellers, improve livelihoods and make urban areas attractive and sustainable places to live. Key words: Poverty, Innovations, adaptation, social amenities; infrastructure; governanc

Predictors of overweight and obesity in adult women in Nairobi Province, Kenya

<p>Abstract</p> <p>Background</p> <p>Since obesity in urban women is prevalent in Kenya the study aimed to determine predictors of overweight and obesity in urban Kenyan women.</p> <p>Methods</p> <p>A cross-sectional study was undertaken in Nairobi Province. The province was purposively selected because it has the highest prevalence of overweight and obesity in Kenya.</p> <p>A total of 365 women aged 25–54 years old were randomly selected to participate in the study.</p> <p>Results</p> <p>Higher age, higher socio-economic (SE) group, increased parity, greater number of rooms in the house, and increased expenditure showed greater mean body mass index (BMI),% body fat and waist circumference (WC) at highly significant levels (p <0.001). Most of the variance in BMI was explained by age, total physical activity, percentage of fat consumed, parity and SE group in that order, together accounting for 18% of the variance in BMI. The results suggest that age was the most significant predictor of all the dependent variables appearing first in all the models, while parity was a significant predictor of BMI and WC. The upper two SE groups had significantly higher mean protein (p <0.05), cholesterol (p <0.05) and alcohol (p <0.001) intakes than the lower SE groups; while the lower SE groups had significantly higher mean fibre (p <0.001) and carbohydrate (p <0.05) intakes. A fat intake greater than 100% of the DRI dietary reference intake (DRI) had a significantly greater mean BMI (p <0.05) than a fat intake less than the DRI.</p> <p>Conclusions</p> <p>The predictors of overweight and obesity showed that urbanization and the nutrition transition were well established in the sample of women studied in the high SE groups. They exhibited a sedentary lifestyle and consumed a diet high in energy, protein, fat, cholesterol, and alcohol and lower in fibre and carbohydrate compared with those in the low SE groups.</p