Abstract:Coastal cities face significant impacts from climate change, with potentially serious consequences for human health especially for the urban poor and other vulnerable groups. As part of a larger study in the Indian Ocean world, this paper assesses the joint effect of urbanicity and wealth status on reported number of barriers to climate change adaptation. Negative binomial regression models were fitted to cross-sectional survey data on 1823 and 1253 individuals in coastal Cambodia and Tanzania, respectively. I… Show more
“…Urban poor was chosen as the reference group for the key predictor, urbanicity wealth status. Urban poor are considered as vulnerable, marginalized and dwell in slums as well as lack access to improved water and sanitation ( Armah et al., 2017a , 2017b ; Hawkins et al., 2013 ). The reference group selected for the sex was “male”.…”
The realization of the scale, magnitude, and complexity of the water and sanitation problem at the global level has compelled international agencies and national governments to increase their resolve to face the challenge. There is extensive evidence on the independent effects of urbanicity (rural-urban environment) and wealth status on access to water and sanitation services in sub-Saharan Africa. However, our understanding of the joint effect of urbanicity and wealth on access to water and sanitation services across spatio-temporal scales is nascent. In this study, a pooled regression analysis of the compositional and contextual factors that systematically vary with access to water and sanitation services over a 25-year time period in fifteen countries across sub-Saharan Africa (SSA) was carried out. On the whole, substantial improvements have been made in providing access to improved water sources in SSA from 1990 to 2015 unlike access to sanitation facilities over the same period. Households were 28.2 percent and 125.2 percent more likely to have access to improved water sources in 2000–2005 and 2010–2015 respectively, than in 1990–1995. Urban rich households were 329 percent more likely to have access to improved water sources compared with the urban poor. Although access to improved sanitation facilities increased from 69 percent in 1990–1995 and 74 percent in 2000–2005 it declined significantly to 53 percent in 2010–2015. Urban rich households were 227 percent more likely to have access to improved sanitation facilities compared with urban poor households. These results were mediated and attenuated by biosocial, socio-cultural and contextual factors and underscore the fact that the challenge of access to water and sanitation in sub-Saharan Africa is not merely scientific and technical but interwoven with environment, culture, economics and human behaviour necessitating the need for interdisciplinary research and policy interventions.
“…Urban poor was chosen as the reference group for the key predictor, urbanicity wealth status. Urban poor are considered as vulnerable, marginalized and dwell in slums as well as lack access to improved water and sanitation ( Armah et al., 2017a , 2017b ; Hawkins et al., 2013 ). The reference group selected for the sex was “male”.…”
The realization of the scale, magnitude, and complexity of the water and sanitation problem at the global level has compelled international agencies and national governments to increase their resolve to face the challenge. There is extensive evidence on the independent effects of urbanicity (rural-urban environment) and wealth status on access to water and sanitation services in sub-Saharan Africa. However, our understanding of the joint effect of urbanicity and wealth on access to water and sanitation services across spatio-temporal scales is nascent. In this study, a pooled regression analysis of the compositional and contextual factors that systematically vary with access to water and sanitation services over a 25-year time period in fifteen countries across sub-Saharan Africa (SSA) was carried out. On the whole, substantial improvements have been made in providing access to improved water sources in SSA from 1990 to 2015 unlike access to sanitation facilities over the same period. Households were 28.2 percent and 125.2 percent more likely to have access to improved water sources in 2000–2005 and 2010–2015 respectively, than in 1990–1995. Urban rich households were 329 percent more likely to have access to improved water sources compared with the urban poor. Although access to improved sanitation facilities increased from 69 percent in 1990–1995 and 74 percent in 2000–2005 it declined significantly to 53 percent in 2010–2015. Urban rich households were 227 percent more likely to have access to improved sanitation facilities compared with urban poor households. These results were mediated and attenuated by biosocial, socio-cultural and contextual factors and underscore the fact that the challenge of access to water and sanitation in sub-Saharan Africa is not merely scientific and technical but interwoven with environment, culture, economics and human behaviour necessitating the need for interdisciplinary research and policy interventions.
“…In this study, the compositional factors considered were age in years (20–29, 30–39, above 39) sex (male, female), marital status (single, married), and educational attainment (certificate, diploma, and degree). Contextual factors refer to geographical location or local environmental conditions ( Armah et al., 2017 ). The contextual factors considered in this study were the number of working years in the healthcare sector (below 3 years, 3–5 years, above 5 years) and district (KEEA, Mfantseman, Cape Coast).…”
Section: Methodsmentioning
confidence: 99%
“…For this reason, negative binomial regression model was employed for the multivariate analyses. Stata 14 makes it possible to select a more flexible model that allows for the variance to be larger than the mean, for example by adding an over-dispersion parameter to model the extra variance or by assuming that the response/outcome variable follows a negative binomial distribution ( Armah et al., 2017 ). For analytical purposes, the incidence rate ratios (IRR) were estimated.…”
“…This study evaluated the joint effect of work‐post (distance to main dust source—crusher) and the use of required PPE on self‐reported disease symptoms of stone quarry workers in Ghana. Armah et al, 34 posited that health outcomes can be measured as subjective or perceived health status (self‐rated health). Adverse effects of silica dust exposure on the health of workers in silica‐exposed work environments are a matter of importance, particularly in developing countries like Ghana where workers may be subjected to high exposure levels at industrial sites.…”
Section: Discussionmentioning
confidence: 99%
“…Eye irritation (42% no, 58% yes), breathing difficulty (26% no, 74% yes), coughing (19% no, 81% yes), and common cold (20% no, 80% yes). The regression models used in this study are built under the assumption of independence of subjects, but the cross‐sectional survey has a hierarchical structure with respondents nested within the survey clusters, which could potentially bias the standard errors (SE) 32‐34 …”
Background and aims
Understanding the importance of using personal protective equipment (PPE) and the influence of work‐post (working distance to main dust source—crusher) in stone quarries is vital for designing tailored interventions in minimizing workers' exposure to silica dust. Nonetheless, studies on silica dust and disease symptoms in Ghana are nascent. This study assessed how work‐post and use of required PPE jointly influence exposure to silica dust and disease symptoms in Ghana.
Methods
Generalized linear models (complementary log‐log regression) were fitted to cross‐sectional survey data of 524 stone quarry workers in Ghana to assess the joint effect of work‐post and PPE usage on self‐reported disease symptoms while controlling for relevant compositional and contextual factors.
Results
Stone quarry workers who work between 1‐100 m and beyond 100 m from the crusher with the required PPE were 90% and 87% respectively less likely to report eye irritation compared with their counterparts who work between 1 and 100 m from the crusher without the required PPE. Individuals who work between 1‐100 m and beyond 100 m from the crusher with the required PPE were 94% and 95% respectively less likely to report breathing difficulty compared with the reference group. Workers who work between 1‐100 m and beyond 100 m from the crusher with the required PPE were 97% and 99% respectively less likely to report coughing compared with the reference group. Workers who work between 1‐100 m and beyond 100 m from the crusher with the required PPE were 93% and 97% respectively less likely to report common cold compared with their counterparts who work between 1 and 100 m from the crusher without the required PPE.
Conclusion
There are adverse health implications for people who work in silica dust polluted environments, suggesting the need for a national safety and health policy to target them.
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