10 research outputs found

    Organoleptic and palatability properties of drinking water sources and its health implications in Ethiopia: a retrospective study during 2010-2016

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    Background: This retrospective study aimed to investigate the physicochemical properties of drinking water sources in Ethiopia and compare the water quality with the health-based target. For this purpose, the water quality database of Ethiopian Public Health Institute (EPHI) from 2010 to 2016 was used. Methods: The concentration and other properties of the water samples were analyzed according to the Standard Methods of Water and Wastewater analysis. Quality control and quality assurance were applied in all stages following our laboratory standard operation procedures (SOPs). Results: The concentration of the selected parameters varied based on the type of water sources. The mean concentration of turbidity was higher in spring water (21.3 NTU) compared to tap (12.6 NTU) and well (3.9 NTU) water sources. The mean concentration of total dissolved solids (TDS), electrical conductivity (EC), sodium (Na+), and sulfate (SO4 -2) was found to be higher in spring water sources than tap and well water sources. Comparably, the concentration of hardness, calcium, and magnesium was found to be higher in well water sources than spring and tap water sources. The bivariate analysis indicated that out of 845 analyzed water samples, more than 50% of the samples from Oromia region had turbidity, pH, TDS, hardness, Ca++, K+, and Na+ within an acceptable limit. In addition, the logistic regression analysis showed that water quality parameters were strongly associated with the type of water sources and regional administration at P < 0.05. Conclusion: More than 80% of the samples analyzed from drinking water sources were in agreement with WHO guidelines and national standards. However, the remaining 20% specifically, pH (25%), calcium (20%), hardness (18.1%), TDS (15.5%), and turbidity (13.3%) analyzed from improved water sources did not comply with these recommendations. Due to objectionable or unpleasant taste, people may force to look for alternative unprotected water sources that lead to health concerns. Keywords: Drinking water, Water quality, Water sources, Taste, Physicochemical properties, Retrospective study, Ethiopia, Logistic model

    The global burden of cancer attributable to risk factors, 2010-19 : a systematic analysis for the Global Burden of Disease Study 2019

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    Background Understanding the magnitude of cancer burden attributable to potentially modifiable risk factors is crucial for development of effective prevention and mitigation strategies. We analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 to inform cancer control planning efforts globally. Methods The GBD 2019 comparative risk assessment framework was used to estimate cancer burden attributable to behavioural, environmental and occupational, and metabolic risk factors. A total of 82 risk-outcome pairs were included on the basis of the World Cancer Research Fund criteria. Estimated cancer deaths and disability-adjusted life-years (DALYs) in 2019 and change in these measures between 2010 and 2019 are presented. Findings Globally, in 2019, the risk factors included in this analysis accounted for 4.45 million (95% uncertainty interval 4.01-4.94) deaths and 105 million (95.0-116) DALYs for both sexes combined, representing 44.4% (41.3-48.4) of all cancer deaths and 42.0% (39.1-45.6) of all DALYs. There were 2.88 million (2.60-3.18) risk-attributable cancer deaths in males (50.6% [47.8-54.1] of all male cancer deaths) and 1.58 million (1.36-1.84) risk-attributable cancer deaths in females (36.3% [32.5-41.3] of all female cancer deaths). The leading risk factors at the most detailed level globally for risk-attributable cancer deaths and DALYs in 2019 for both sexes combined were smoking, followed by alcohol use and high BMI. Risk-attributable cancer burden varied by world region and Socio-demographic Index (SDI), with smoking, unsafe sex, and alcohol use being the three leading risk factors for risk-attributable cancer DALYs in low SDI locations in 2019, whereas DALYs in high SDI locations mirrored the top three global risk factor rankings. From 2010 to 2019, global risk-attributable cancer deaths increased by 20.4% (12.6-28.4) and DALYs by 16.8% (8.8-25.0), with the greatest percentage increase in metabolic risks (34.7% [27.9-42.8] and 33.3% [25.8-42.0]). Interpretation The leading risk factors contributing to global cancer burden in 2019 were behavioural, whereas metabolic risk factors saw the largest increases between 2010 and 2019. Reducing exposure to these modifiable risk factors would decrease cancer mortality and DALY rates worldwide, and policies should be tailored appropriately to local cancer risk factor burden. Copyright (C) 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license.Peer reviewe

    Organoleptic and palatability properties of drinking water sources and its health implications in Ethiopia: a retrospective study during 2010-2016

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    Background: This retrospective study aimed to investigate the physicochemical properties of drinking water sources in Ethiopia and compare the water quality with the health-based target. For this purpose, the water quality database of Ethiopian Public Health Institute (EPHI) from 2010 to 2016 was used. Methods: The concentration and other properties of the water samples were analyzed according to the Standard Methods of Water and Wastewater analysis. Quality control and quality assurance were applied in all stages following our laboratory standard operation procedures (SOPs). Results: The concentration of the selected parameters varied based on the type of water sources. The mean concentration of turbidity was higher in spring water (21.3 NTU) compared to tap (12.6 NTU) and well (3.9 NTU) water sources. The mean concentration of total dissolved solids (TDS), electrical conductivity (EC), sodium (Na+), and sulfate (SO4-2) was found to be higher in spring water sources than tap and well water sources. Comparably, the concentration of hardness, calcium, and magnesium was found to be higher in well water sources than spring and tap water sources. The bivariate analysis indicated that out of 845 analyzed water samples, more than 50% of the samples from Oromia region had turbidity, pH, TDS, hardness, Ca++, K+, and Na+ within an acceptable limit. In addition, the logistic regression analysis showed that water quality parameters were strongly associated with the type of water sources and regional administration at P < 0.05. Conclusion: More than 80% of the samples analyzed from drinking water sources were in agreement with WHO guidelines and national standards. However, the remaining 20% specifically, pH (25%), calcium (20%), hardness (18.1%), TDS (15.5%), and turbidity (13.3%) analyzed from improved water sources did not comply with these recommendations. Due to objectionable or unpleasant taste, people may force to look for alternative unprotected water sources that lead to health concerns

    Assessing the effect of sunlight exposure on physicochemical properties of bottled water in Addis Ababa, Ethiopia: An experimental observational study

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    Bottled water is potable water that is manufactured, distributed, or offered for sale and intended for human consumption. However, bottled water retailers usually expose bottled water to direct sunlight at the point of sale, and store it for extended periods. Therefore, this study aimed to investigate the effects of sunlight exposure and storage time on the physicochemical properties of bottled water. An experimental observational study design was employed to assess the effect of direct sunlight exposure on selected physicochemical parameters in four water brands (40 samples for both control and exposed) for 28 days in Addis Ababa, Ethiopia. The study's average sunlight intensity and sunshine hours from 3 October to 30/2020 were 197.7 ± 31.8 W/M2 and 7. 3 ± 2. 7 h, respectively. The mean values of the physicochemical parameters of bottled water before and after exposure to sunlight were compared using a paired sample t-test and Wilcoxon signed-rank test with a significance level of 0.05. Approximately 80% of the analysed parameters did not match the labelled value of bottled water. This study showed that the values of pH, F-, and NO3− were decreased from 7.31 to 7.02; 0.20 to 0.15 mg/L, and 3.95 to 3.52 mg/L, respectively. Whereas the level of NO2−, TDS, and turbidity was increased with increasing sunlight exposure from 0.00 to 0.02 mg/L, 82.82 to 85.24 mg/L, and 0.00 to 0.57 NTU, respectively. Statistically significant differences in pH, F−, NO2−, and turbidity levels were found between the exposed and non-exposed groups of bottled water. Apart from the increase or decrease in chemical concentration after sunlight exposure, the physicochemical parameters of the exposed bottled waters were within the recommended standards, except for fluoride and turbidity. However, the fluoride concentration was below the recommended level in both exposed and unexposed samples, with a further reduction in sunlight-exposed bottled water samples. Therefore, regulators should ensure that bottled water is protected against long-term direct exposure to sunlight to provide safe water to consumers

    Level of JMP ladders for water, sanitation, and hygiene (WASH) services among healthcare facilities of Bishoftu Town, Ethiopia: An implication of healthcare-associated infection prevention status

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    This study aimed to assess the level of JMP ladders for WASH services. A cross-sectional study was conducted. Forty-four healthcare facilities were enrolled. From each healthcare facility, water samples were collected directly from water storage facilities. In addition to the interview, an observational checklist was used. Descriptive statistics and a chi-square test were conducted to analyze the data. The coverage of advanced and basic drinking water services in healthcare facilities was 4.6 and 70.4%, respectively. However, the healthcare facilities’ access to advanced and basic sanitation services was nil. Similarly, 61.4 and 88.6% of the healthcare facilities had no hygiene and waste disposal services, respectively. While 2.6, 4.5, and 75% of healthcare facilities had advanced, basic, and limited environmental cleaning services, 18.2% lacked environmental cleaning services. Water samples of 15.9, 11.4, and 6.8% of the healthcare facilities were found positive for total coliforms, fecal coliforms, and E. coli, respectively. The WASH services of the healthcare facilities were very low and not on track to achieve the Sustainable Development Goal target. Healthcare facilities could be sources of healthcare-associated infections. Hence, the government and other concerned bodies should take urgent action to improve WASH services. HIGHLIGHTS 4.6 and 70.4% of the healthcare facilities used advanced and basic water services, respectively.; The healthcare facilities’ access to advanced and basic sanitation services was nil.; The majority of the healthcare facilities had no hygiene and waste disposal services.; 18.2% of the healthcare facilities lacked environmental cleaning services.; Bacteria and chemical contaminants contaminated many water samples.

    Access to water, sanitation and hygiene (WASH) services and drinking water contamination risk levels in households of Bishoftu Town, Ethiopia: A cross‐sectional study

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    Abstract Background and Aims Access to safe drinking water, sanitation, and hygiene is a fundamental human right and essential to control infectious diseases. However, many countries, including Ethiopia, do not have adequate data to report on basic water, sanitation, and hygiene (WASH) services. Although contaminated drinking water spreads diseases like cholera, diarrhea, typhoid, and dysentery, studies on drinking water contamination risk levels in households are limited in Ethiopia. Therefore, closing this gap needs investigation. Methods A community‐based cross‐sectional study was conducted. A total of 5350 households were included. A systematic, simple random sampling technique was used to select the participants. The information was gathered through in‐person interviews using a standardized questionnaire. Furthermore, 1070 drinking water samples were collected from household water storage. Results This investigation revealed that 9.8%, 83.9%, and 4.9% of households used limited, basic, and safely managed drinking water services, respectively. Besides, 10.2%, 15.7% and 59.3% of households used safely managed, basic and limited sanitation services, respectively. Yet, 10.6% and 4.2% of households used unimproved sanitation facilities and open defecation practices. Also, 40.5% and 19.4% of households used limited and basic hygiene services. On the other hand, 40.1% of households lacked functional handwashing facilities. In this study, 12.1%, 26.3%, and 42% of households’ drinking water samples were positive for Escherichia coli, fecal coliforms, and total coliforms, respectively. Also, 5.1% and 4.5% of households’ drinking water samples had very high and high contamination risk levels for E. coli, respectively. We found that 2.5% and 11.5% of households and water distributors had unacceptable fluoride concentrations, respectively. Conclusion The majority of households in Bishoftu town lack access to safely managed sanitation, drinking water, and basic hygiene services. Many households’ water samples had very high and high health risk levels. Hence, the government and partner organizations should implement water and sanitation safety plans

    Progress in health among regions of Ethiopia, 1990-2019 : a subnational country analysis for the Global Burden of Disease Study 2019

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    Progress in health among regions of Ethiopia, 1990-2019: a subnational country analysis for the Global Burden of Disease Study 2019.

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    BACKGROUND: Previous Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) studies have reported national health estimates for Ethiopia. Substantial regional variations in socioeconomic status, population, demography, and access to health care within Ethiopia require comparable estimates at the subnational level. The GBD 2019 Ethiopia subnational analysis aimed to measure the progress and disparities in health across nine regions and two chartered cities. METHODS: We gathered 1057 distinct data sources for Ethiopia and all regions and cities that included census, demographic surveillance, household surveys, disease registry, health service use, disease notifications, and other data for this analysis. Using all available data sources, we estimated the Socio-demographic Index (SDI), total fertility rate (TFR), life expectancy, years of life lost, years lived with disability, disability-adjusted life-years, and risk-factor-attributable health loss with 95% uncertainty intervals (UIs) for Ethiopia's nine regions and two chartered cities from 1990 to 2019. Spatiotemporal Gaussian process regression, cause of death ensemble model, Bayesian meta-regression tool, DisMod-MR 2.1, and other models were used to generate fertility, mortality, cause of death, and disability rates. The risk factor attribution estimations followed the general framework established for comparative risk assessment. FINDINGS: The SDI steadily improved in all regions and cities from 1990 to 2019, yet the disparity between the highest and lowest SDI increased by 54% during that period. The TFR declined from 6·91 (95% UI 6·59-7·20) in 1990 to 4·43 (4·01-4·92) in 2019, but the magnitude of decline also varied substantially among regions and cities. In 2019, TFR ranged from 6·41 (5·96-6·86) in Somali to 1·50 (1·26-1·80) in Addis Ababa. Life expectancy improved in Ethiopia by 21·93 years (21·79-22·07), from 46·91 years (45·71-48·11) in 1990 to 68·84 years (67·51-70·18) in 2019. Addis Ababa had the highest life expectancy at 70·86 years (68·91-72·65) in 2019; Afar and Benishangul-Gumuz had the lowest at 63·74 years (61·53-66·01) for Afar and 64.28 (61.99-66.63) for Benishangul-Gumuz. The overall increases in life expectancy were driven by declines in under-5 mortality and mortality from common infectious diseases, nutritional deficiency, and war and conflict. In 2019, the age-standardised all-cause death rate was the highest in Afar at 1353·38 per 100 000 population (1195·69-1526·19). The leading causes of premature mortality for all sexes in Ethiopia in 2019 were neonatal disorders, diarrhoeal diseases, lower respiratory infections, tuberculosis, stroke, HIV/AIDS, ischaemic heart disease, cirrhosis, congenital defects, and diabetes. With high SDIs and life expectancy for all sexes, Addis Ababa, Dire Dawa, and Harari had low rates of premature mortality from the five leading causes, whereas regions with low SDIs and life expectancy for all sexes (Afar and Somali) had high rates of premature mortality from the leading causes. In 2019, child and maternal malnutrition; unsafe water, sanitation, and handwashing; air pollution; high systolic blood pressure; alcohol use; and high fasting plasma glucose were the leading risk factors for health loss across regions and cities. INTERPRETATION: There were substantial improvements in health over the past three decades across regions and chartered cities in Ethiopia. However, the progress, measured in SDI, life expectancy, TFR, premature mortality, disability, and risk factors, was not uniform. Federal and regional health policy makers should match strategies, resources, and interventions to disease burden and risk factors across regions and cities to achieve national and regional plans, Sustainable Development Goals, and universal health coverage targets. FUNDING: Bill & Melinda Gates Foundation

    The global burden of cancer attributable to risk factors, 2010-19: a systematic analysis for the Global Burden of Disease Study 2019

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    Background Understanding the magnitude of cancer burden attributable to potentially modifiable risk factors is crucial for development of effective prevention and mitigation strategies. We analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 to inform cancer control planning efforts globally. Methods The GBD 2019 comparative risk assessment framework was used to estimate cancer burden attributable to behavioural, environmental and occupational, and metabolic risk factors. A total of 82 risk-outcome pairs were included on the basis of the World Cancer Research Fund criteria. Estimated cancer deaths and disability-adjusted life-years (DALYs) in 2019 and change in these measures between 2010 and 2019 are presented. Findings Globally, in 2019, the risk factors included in this analysis accounted for 4.45 million (95% uncertainty interval 4.01-4.94) deaths and 105 million (95.0-116) DALYs for both sexes combined, representing 44.4% (41.3-48.4) of all cancer deaths and 42.0% (39.1-45.6) of all DALYs. There were 2.88 million (2.60-3.18) risk-attributable cancer deaths in males (50.6% 47.8-54.1] of all male cancer deaths) and 1.58 million (1.36-1.84) risk-attributable cancer deaths in females (36.3% 32.5-41.3] of all female cancer deaths). The leading risk factors at the most detailed level globally for risk-attributable cancer deaths and DALYs in 2019 for both sexes combined were smoking, followed by alcohol use and high BMI. Risk-attributable cancer burden varied by world region and Socio-demographic Index (SDI), with smoking, unsafe sex, and alcohol use being the three leading risk factors for risk-attributable cancer DALYs in low SDI locations in 2019, whereas DALYs in high SDI locations mirrored the top three global risk factor rankings. From 2010 to 2019, global risk-attributable cancer deaths increased by 20.4% (12.6-28.4) and DALYs by 16.8% (8.8-25.0), with the greatest percentage increase in metabolic risks (34.7% 27.9-42.8] and 33.3% 25.8-42.0]). Interpretation The leading risk factors contributing to global cancer burden in 2019 were behavioural, whereas metabolic risk factors saw the largest increases between 2010 and 2019. Reducing exposure to these modifiable risk factors would decrease cancer mortality and DALY rates worldwide, and policies should be tailored appropriately to local cancer risk factor burden. Copyright (C) 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license
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