820 resultados para Rural-urban migration


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Mode of access: Internet.

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Mode of access: Internet.

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La campaña de Buenos Aires había recibido desde fines del siglo XVIII importantes corrientes migratorias interprovinciales que fueron progresivamente desplazadas por las provenientes de Europa. Si bien existen trabajos ;basados en los resultados generales, se ha abordado muy poco el ;estudio de la población a partir de las cédulas censales en sí mismas. Nos proponemos aquí observar la estructura de la población de la campaña bonaerense durante estos primeros tiempos de la inmigración masiva, aplicando una perspectiva comparada entre tres pueblos: San Antonio de Areco en la zona norte, Mercedes en el centro y San Vicente en el sur. Se prestará particular atención a la composición de la población, su origen, las actividades productivas y el proceso de urbanización. Se analizan igualmente las pautas de destino y localización geográfica de los extranjeros en los pueblos rurales, las ocupaciones preferidas y la eventual diversificación de actividades en función de las nacionalidades

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Aims: To investigate the prevalence of vitamin A deficiency among lactating women in a poor urban population of Bangladesh, and to examine the relationship between various factors and vitamin A status. Design: Cross-sectional study. Setting: Maternal and child health clinic in Dhaka City, Bangladesh. Subjects and methods: A total of 120 lactating women aged 17-37 years were randomly selected from women who attended a local maternal and child health clinic in Dhaka City for immunisation of their children. Various socio-economic, personal characteristics, dietary intakes of vitamin A and anthropometric data were collected. Serum retinol (vitamin A) concentration was determined as a measure of vitamin A status. Results: Of the subjects, 37% had low serum vitamin A levels (<30 μg dl(-1)), with 13.3% having sub-clinical vitamin A deficiency (<20 mug dl(-1)). Eighty-seven per cent had vitamin A intakes below the recommended dietary allowance. The lactating women who were either illiterate or received only informal education had significantly (P=0.002) lower serum vitamin A levels compared with those who received formal education. The women whose husbands received formal education had significantly (P=0.05) higher serum vitamin A levels than those whose husbands were either illiterate or received only informal education. The serum vitamin A levels of women in households with poor sanitation/latrine practice were significantly (P=0.03) lower than those of women in households with good sanitation/latrine practice. The women with one child had significantly (P=0.015) lower serum vitamin A levels than those with two or more children. Women with a lactation period of 6 months or more had significantly (P=0.034) lower serum vitamin A levels than women with a lactation period of less than 6 months. The women who consumed less than the median vitamin A intake (274.8 mug day(-1)) had significantly (P=0.01) lower serum vitamin A levels than those who consumed more than the median vitamin A intake. By multiple regression analysis, education level of the women, number of living children, duration of lactation and dietary intake of vitamin A were found to have significant independent relationships with serum vitamin A. The overall F-ratio (6.8) was highly significant (P=0.000), the adjusted R-2 was 0.16 (multiple R=0.44). Conclusion: A significant proportion of poor, urban, lactating women in Bangladesh have vitamin A deficiency. Among the various factors, education level of the women, number of living children, duration of lactation and dietary intake of vitamin A appear to be important in influencing the vitamin A status of these women.

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This cross-sectional study investigated the prevalence of anaemia and vitamin A deficiency (VAD) among pregnant women in a poor urban population of Bangladesh. It also examined the association of various socio-economic and dietary factors with anaemia and vitamin A status. A maternal and child health clinic in Dhaka city, Bangladesh was used to obtain the sample. Three hundred and eighty three pregnant women, aged 20-30 years, of 20-30 weeks gestation were randomly selected from women on their first presentation for antenatal care. Socio-economic, pregnancy related information, usual dietary pattern, and anthropometric data were collected. Blood haemoglobin and serum retinol (vitamin A) concentrations were determined. About 40% of the pregnant women were anaemic (haemoglobin <11.0 g/dl) and 45% had low serum vitamin A levels (<30 mug/dl); with 8.6% having sub-clinical VAD (serum retinol <20 μg/dl). The women with low serum vitamin A levels had 1.8 times greater risk of being anaemic than did the women with normal vitamin A status. Food frequency data revealed that a large proportion of these women did not consume egg (49%), milk (25%), meat (31%), liver (83%), large fish (32%), small fish (39%) and sweet pumpkin (52%) at all; while about 25% of the women reported consuming dark green leafy vegetables (DGLV) and 64% reported an intake of fruit at least four servings a week. The pregnant women who were either illiterate or received only informal education (up to grade ten) had significantly lower haemoglobin and serum vitamin A levels compared to those who completed at least a secondary school certificate. The women whose husbands were illiterate or received only informal education had significantly (P=0.01) lower serum vitamin A levels than those whose husbands had received at least a secondary school certificate. The women who came from families with a per-capita income below the poverty line had significantly lower haemoglobin and serum vitamin A levels compared to those who came from families with a per-capita income above the poverty line. The women who consumed three servings or less of DGLV and fruit per week had significantly lower haemoglobin and serum vitamin A levels than those who consumed four or more servings a week. The women who never consumed large fish had significantly lower haemoglobin compared to those who reported at least one serving a week. Furthermore, the women who never consumed sweet pumpkin had significantly lower serum vitamin A than the women who ate at least one serving a week. By multiple regression analysis, intake of meat, DGLV and fruit, and serum vitamin A levels were found to have a significant independent relationship with haemoglobin. The overall F-ratio (9.9) was highly significant (P=0.000), the adjusted R-square was 0.086 (multiple R=0.309). Multiple regression analysis for serum vitamin A also revealed a significant independent relationship with per capita income, haemoglobin levels, intakes of DGLV and sweet pumpkin. The overall F-ratio (10.2) was highly significant (P=0.000), the adjusted R-square was 0.10 (multiple R=0.312). In conclusion, anaemia and vitamin A deficiency were highly prevalent among poor urban pregnant women in Bangladesh. Various socio-economic and dietary factors may influence the anaemia and vitamin A status of these women. The present study emphasizes the need for a comprehensive intervention strategy, which include both nutritional and environmental factors, to improve the nutritional status of this population.

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Arguably, living and working in rural communities can pose significant challenges for human service practitioners - challenges that are different from those encountered by their urban counterparts. Human services employers, like many other employers in rural areas, have difficulty in recruiting and retaining staff. There is now considerable evidence to support the notion that rural and remote practice constitutes a different and distinct form of practice and has undergone significant changes over the past decade. Living and working in rural communities means that practitioners are not only influenced by the rural and remote context of practice, they are also part of that context. Given the difficulty encountered in attracting and retaining rural practitioners and the changes in this area, an important question which emerges is: How can practitioners best be prepared for this work through largely urban based social work and human service education? The multifaceted and multilayered complexities in rural practice requires creativity, improvisation and a capacity for 'integrative thinking' (Martinez-Brawley 2002). This paper discusses six elements of newer forms of rural and remote practice and how they might be most effectively addressed through social work and human service curricula. An education model which integrates these elements and other principles for rural practice is proposed.

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Objective: To assess patients’ expectation for receiving a prescription and GPs’ perceptions of patient expectation for a prescription. Design: Matched questionnaire study completed by patients and GPs. Setting: Seven general practices in rural Queensland, Australia. Subjects: The subjects were 481 patients consulting 17 GPs. Main outcome measures: Patients’ expectation for receiving a prescription and GPs’ perceptions of patients’ expectation. Results: Ideal expectation (hope) for a prescription was expressed by 57% (274/481) of patients. Sixty-six per cent (313/481) thought it was likely that the doctor would actually give them a prescription. Doctors accurately predicted hope or lack of hope for a prescription in 65% (314/481) of consultations, but were inaccurate in 19% (93/481). A prescription was written in 55% of consultations. No increase in patients’ expectation, doctors’ perceptions of expectation, or decision to prescribe were detected for patients living a greater distance from the doctors. Conclusions: Rural patients demonstrated similar rates of hope for a prescription to those found in previous urban studies. Rural doctors seem to be similarly ‘accurate’ and ‘inaccurate’ in determining patients’ expectations. Rates of prescribing were comparable to urban rates. Distance was not found to increase the level of patient expectation, affect the doctors’ perception or to influence the decision to prescribe.

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The technique of remote sensing provides a unique view of the earth's surface and considerable areas can be surveyed in a short amount of time. The aim of this project was to evaluate whether remote sensing, particularly using the Airborne Thematic Mapper (ATM) with its wide spectral range, was capable of monitoring landfill sites within an urban environment with the aid of image processing and Geographical Information Systems (GIS) methods. The regions under study were in the West Midlands conurbation and consisted of a large area in what is locally known as the Black Country containing heavy industry intermingled with residential areas, and a large single active landfill in north Birmingham. When waste is collected in large volumes it decays and gives off pollutants. These pollutants, landfill gas and leachate (a liquid effluent), are known to be injurious to vegetation and can cause stress and death. Vegetation under stress can exhibit a physiological change, detectable by the remote sensing systems used. The chemical and biological reactions that create the pollutants are exothermic and the gas and leachate, if they leave the waste, can be warmer than their surroundings. Thermal imagery from the ATM (daylight and dawn) and thermal video were obtained and used to find thermal anomalies on the area under study. The results showed that vegetation stress is not a reliable indicator of landfill gas migration, as sites within an urban environment have a cover too complex for the effects to be identified. Gas emissions from two sites were successfully detected by all the thermal imagery with the thermal ATM being the best. Although the results were somewhat disappointing, recent technical advancements in the remote sensing systems used in this project would allow geo-registration of ATM imagery taken on different occasions and the elimination of the effects of solar insolation.

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Decomposition of domestic wastes in an anaerobic environment results in the production of landfill gas. Public concern about landfill disposal and particularly the production of landfill gas has been heightened over the past decade. This has been due in large to the increased quantities of gas being generated as a result of modern disposal techniques, and also to their increasing effect on modern urban developments. In order to avert diasters, effective means of preventing gas migration are required. This, in turn requires accurate detection and monitoring of gas in the subsurface. Point sampling techniques have many drawbacks, and accurate measurement of gas is difficult. Some of the disadvantages of these techniques could be overcome by assessing the impact of gas on biological systems. This research explores the effects of landfill gas on plants, and hence on the spectral response of vegetation canopies. Examination of the landfill gas/vegetation relationship is covered, both by review of the literature and statistical analysis of field data. The work showed that, although vegetation health was related to landfill gas, it was not possible to define a simple correlation. In the landfill environment, contribution from other variables, such as soil characteristics, frequently confused the relationship. Two sites are investigated in detail, the sites contrasting in terms of the data available, site conditions, and the degree of damage to vegetation. Gas migration at the Panshanger site was dominantly upwards, affecting crops being grown on the landfill cap. The injury was expressed as an overall decline in plant health. Discriminant analysis was used to account for the variations in plant health, and hence the differences in spectral response of the crop canopy, using a combination of soil and gas variables. Damage to both woodland and crops at the Ware site was severe, and could be easily related to the presence of gas. Air photographs, aerial video, and airborne thematic mapper data were used to identify damage to vegetation, and relate this to soil type. The utility of different sensors for this type of application is assessed, and possible improvements that could lead to more widespread use are identified. The situations in which remote sensing data could be combined with ground survey are identified. In addition, a possible methodology for integrating the two approaches is suggested.