Variability of Quality of Life at Small Scales: Addis Ababa,Kirkos Sub-City

Urban quality of life (QoL) is becoming a subject of urban research mainly for western and Asian countries. Such attention is due to an increasing awareness of the contribution of QoL studies in identifying intervention areas and in monitoring urban planning policies. However, most studies are carried out at city or country level that can average out details at small scales. In this paper we present a case study where the urban QoL at small scale is measured and its variability is evaluated for Kirkos sub-city of Addis Ababa, Ethiopia. The study is based on data from a household survey and some secondary data. Geographic information system (GIS) is applied to extract proximity information (e.g., distance to school facilities) and visualize the spatial distribution of QoL. Statistical methods such as factor analysis are applied to establish an index of objective QoL while coefficient of variation is applied to evaluate spatial variability of subjective QoL. The results of this study reveal that the subjective quality of life (QoL) scores show large variation in the sub-city. The mean QoL score also indicates that the respondents in the sub-city, on average, are dissatisfied with the quality of their life. Respondents with higher education level and income are on average, however, more satisfied with their QoL in the sub-city. The results reveal that the lower the QoL in the Kebele, the larger the variability of QoL within the Kebele. Such indicates how aggregation at large scale can average out the variation of QoL at small scales. The results reveal the presence of QoL variability at small scales. The comparison between the subjective and the objective QoL at Kebele level indicated a state of dissonance, adaptation, deprivation or well-being. Such results suggest that the two measures do not always indicate the same level of QoL.     

Adaptation and Dissonance in Quality of Life: A Case Study in Mekelle,Ethiopia

This study aimed to determine predictability of life satisfaction by focusing on social support, substance abuse, socio-demographic factors as well as received health services from medical and traditional centers in the elderly with dementia. The subjects were 1,210 non-institutionalized Malaysian elderly with cognitive problems. In addition, age, ethnicity, sex differences, marital status, educational level, social support, substance abuse and receiving health services were evaluated to predict the risk of falls in samples. Social support was measured by Lubben score. Substance abuse was referred to smoking per day, addiction to alcohol consumption as well as dependency to medications. Health care supports, which were received by individuals included medical and traditional treatments. Life satisfaction was measured by asking in general ‘Are you satisfied with your current life’. The multiple logistic regression analysis was used to determine the effects of contributing variables on life satisfaction in respondents. Approximately 83 % of subjects reported that they were satisfied with their current life. The results of multiple regression analysis showed that marital status (OR = 1.98), traditional treatments (OR = 0.43), social support (OR = 2.28) and educational level (OR = 1.79) significantly affected life satisfaction in samples (p < 0.05). Furthermore, age, ethnicity, sex differences, substance abuse and medical treatments were not significant predictors of life satisfaction (p > 0.05). It was concluded that social support, being married and education increased life satisfaction in subjects but traditional treatments decreased life satisfaction.