The article "Asthma in South African adolescents: a time trend and risk factor analysis over two decades" investigates the prevalence and risk factors for asthma in Cape Town adolescents from 2002 t...o 2017. The study finds that while the overall prevalence of asthma remained similar, the severity of the condition increased significantly. Risk factors for asthma and severe cases include smoking, pet exposure, outdoor pollution, and living in informal housing. Despite these trends, underdiagnosis remains a concern, as only one-third of adolescents with current or severe asthma had been formally diagnosed. The article emphasizes the need for better public health strategies to address environmental exposures and improve asthma diagnosis and treatment.
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Vitamin A deficiency is a risk factor for blindness and for mortality from measles and diarrhoea in children aged 6–59 months. We aimed to estimate trends in the prevalence of vitamin A defi ciency between 1991 and 2013 and its mortality burden in... low-income and middle-income countries.
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La resistencia a los antimicrobianos (RAM, utilizado también como equivalente de "resistente a los antimicrobianos en este documento) constituye un importante motivo de preocupación mundial en el ámbito de la salud pública y un problema para la inocuidad de los alimentos. Cuando l...os patógenos se hacen resistentes a los agentes antimicrobianos, pueden ser más peligrosos para la salud humana a causa de un posible fracaso de los tratamientos, de la pérdida de opciones para los tratamientos y de la mayor probabilidad y gravedad de las enfermedades. Los problemas relacionados con la RAM están intrínsecamente relacionados con el uso de antimicrobianos en cualquier ámbito, lo que comprende los usos humanos y no humanos. El uso de agentes antimicrobianos en animales/cultivos destinados a la producción de alimentos constituye un factor potencialmente importante de riesgo de selección y propagación a los seres humanos de microorganismos resistentes y determinantes de RAM a partir de dichos cultivos/animales a través del consumo de alimentos.
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This report is part of the gender and noncommunicable diseases (NCDs) initiative launched by the WHO Regional Office for Europe, which aims to strengthen the response to NCDs through a gender approach. It is part of a series of country profiles and a synthesis report. The country profile of Ukraine ...presents a gender analysis of the WHO STEPwise survey (STEPS) data to support international commitments to reducing the burden of NCDs with evidence and knowledge exchange. A gender analysis of STEPS NCD risk-factor survey data describes how risk factors for chronic diseases differ between and among men and women by exploring and tracking the direction and magnitude of trends in risk factors and accessing services by sociodemographic variables. Important differences hide even in sex-disaggregated data that need to be unpacked through sociodemographic characteristics, because men and women are not homogenous groups. The report also recognizes gaps in evidence and calls for further analysis of the impact of gender-based inequalities.
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Noncommunicable diseases (NCDs) are responsible for 81% of all deaths in the region of the Americas, of which 34% befall prematurely in people between 30- 69 years old. The burden of theses diseases and their common risk factors jeopardize the health systems to provide adequate management, as well a...s to implement customized policies and interventions. The PAHO/WHO STEPwise approach to NCD risk factor surveillance (STEPS) is a simple, sequential, standardized method for collecting, analyzing, and disseminating data on key NCD risk factors in countries in adults from 18 to 69 years old. This survey covers key modifiable risk factors: tobacco use, alcohol use, physical inactivity, and unhealthy diet, as well as key biological risk factors: overweight and obesity, raised blood pressure, raised blood glucose, and abnormal blood lipids. STEPS is a household survey that gathers information on the risk factors through a face-to-face interview (step 1), simple physical measurements (step 2), and collection of urine and blood samples for biochemical analysis (step 3). Every step has a core set of questions, measurements, and expanded sets depending on the countries' needs and interests. It also has optional modules. Implementing STEPS allows the comparability of data within and between countries due to its standardized data collection. It also helps health services plan public health priorities and monitors and evaluates population-wide interventions. It is designed to help countries build and strengthen their capacity to conduct surveillance. STEPS captures 11 of the 25 indicators outlined in the NCD Global Monitoring Framework relating to 7 of the nine global targets.
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The Lancet Planetary Health, Volume 2, ISSUE 9, Pe398-e405, September 01, 2018.
Reduction of antibiotic consumption will not be sufficient to control antimicrobial resistance because contagion—the spread of resistant strains and resistance genes—seems to be the dominant contributing ...s="attribute-to-highlight medbox">factor. Improving sanitation, increasing access to clean water, and ensuring good governance, as well as increasing public health-care expenditure and better regulating the private health sector are all necessary to reduce global antimicrobial resistance.
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DHS Methodological Report No. 20
This study used Service Provision Assessment (SPA) and Demographic and Health Survey (DHS) data from Haiti, Malawi, and Tanzania to compare traditionally used additive methods with a data reduction method—principal component ...ight medbox">analysis (PCA).
We scored the quality of health facilities with three approaches (simple additive, weighted additive, and PCA) for two constructs: quality of services, with only facilities-level data, and quality of care, which incorporates observation and client data. We ranked facilities as high, medium, or low quality based on their scores. Our results indicated that the rankings change with the scoring methodology. There was more consistency in the rankings of facilities by the simple additive and PCA methods than the weighted additive and PCA-based rankings. This may be due to the low factor loadings and little variance explained by the first component in the PCA. We aggregated facility scores to their respective DHS clusters (Haiti, Malawi) or regions (Tanzania) and geographically linked them to women interviewed in DHS surveys to test associations between the use of family planning services and the quality environment, as measured with each index.
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The WHO Eastern Mediterranean Region's Noncommunicable Diseases (NCD) Data and Statistics page offers comprehensive information on NCD surveillance, including mortality rates, morbidity, and risk factor exposures. It emphasizes the importance of mon...itoring NCD trends to inform prevention and control strategies, aligning with global targets such as reducing premature NCD deaths by one-third by 2030. The page also highlights the WHO STEPwise approach to NCD risk factor surveillance, providing standardized methods for data collection and analysis.
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The WHO Eastern Mediterranean Region's Noncommunicable Diseases (NCD) Data and Statistics page offers comprehensive information on NCD surveillance, including mortality rates, morbidity, and risk factor exposures. It emphasizes the importance of mon...itoring NCD trends to inform prevention and control strategies, aligning with global targets such as reducing premature NCD deaths by one-third by 2030. The page also highlights the WHO STEPwise approach to NCD risk factor surveillance, providing standardized methods for data collection and analysis.
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The WHO Eastern Mediterranean Region's Noncommunicable Diseases (NCD) Data and Statistics page offers comprehensive information on NCD surveillance, including mortality rates, morbidity, and risk factor exposures. It emphasizes the importance of mon...itoring NCD trends to inform prevention and control strategies, aligning with global targets such as reducing premature NCD deaths by one-third by 2030. The page also highlights the WHO STEPwise approach to NCD risk factor surveillance, providing standardized methods for data collection and analysis.
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The increasing prevalence of childhood asthma in the developed world is a cause for concern. A so-called Western lifestyle has been the factor most commonly cited to explain this worrying increase in asthma prevalence. Early studies in a limited num...ber of African countries showed a very low rural prevalence of childhood asthma, especially where children lived according to a traditional lifestyle. These same studies showed that asthma was not uncommon in urbanized African children. There has been an
increasing tendency over the past 20 years for those in rural communities to move to the large urban centers. This article analyses the urban-rural differences and factors that influence the development of asthma in susceptible children.
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Background: Foreign aid continues to play an essential role in health sector development in low-resource countries, particularly in terms of providing a vital portion of their health expenditures. However, the relationship between foreign aid allocation and malaria policy formulation and/or implemen...tation among state aid recipients remains unknown.
Methods: Publicly available data were collected with the country as observational unit to set up the conceptual framework. The quality and strength of relationships between socioeconomic, environmental and institutional parameters were estimated by Pearson and polychoric correlations. A correlation matrix was explored by factor analysis.
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Background: Foreign aid has been shown to be favourably biased towards small countries. This study investigated whether country size bias also occurs in national malaria policy and development assistance from international agencies. Methods: Data from publicly available sources were collected with c...ountries as observational units. The exploratory data analysis was based on the conceptual framework with socio-economic, environmental and institutional parameters. The strength of relationships was estimated by the Pearson and polychoric correlation coefficients. The correlation matrix was explored by factor analysis.
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The Asthma Control Questionnaire (ACQ)1 was developed and validated to measure the primary clinical goal of asthma management as identified by international guidelines. They indicate that to achieve good control, treatment should minimise day and night time symptoms, activity limitation, airway narr...owing and rescue bronchodilator use and thus reduce the risk of life-threatening exacerbations and long-term morbidity. The importance of including all aspects of control in the assessment of individual patients was emphasised by a recent factor analysis which showed that clinical asthma is composed of distinct components which are not closely correlated with each other.6 However, in some studies it may not be possible to collect airway calibre or short-acting β2-agonists data. Previous analysis of non-clinical trial data suggested that when ACQ scores are analysed as group data, the heterogeneity of the way in which individual patients present with inadequate control is lost in the estimation of the mean and the need to measure each individual component of asthma control may become unnecessary. In this analysis, ACQ data from a clinical trial was used to evaluate the measurement properties (reliability, responsiveness, validity and interpretability), of three shortened versions of the ACQ. In addition, we have examined whether the precision and accuracy of estimating the effect of the intervention on asthma control was maintained when the two questions concerning airway calibre and short-acting β2-agonists use were omitted from the trial analysis.
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Aligned to the Lancet Migration Global Statement to include migrants and refugees incountries’response to COVID-19, this update focuses on Mexico’s challenges and opportunities to build an inclusive response that is based on a contextualized adaptation of there commendations published by th...e Lancet Migration. A critical component for this analysis is the recognition of migration as a social determinant of health, which acts as a major risk factor for populations subjected to violence, trauma and forced exile while in the face of a global pandemic.
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Background: Investing in the health workforce is key to achieving the health-related Sustainable Development Goals. However, achieving these Goals requires addressing a projected global shortage of 18 million health workers (mostly in low- and middle-income countries). Within that context, in 2016, ...the World Health Assembly adopted the WHO Global Strategy on Human Resources for Health: Workforce 2030. In the Strategy, the role of official development assistance to support the health workforce is an area of interest. The objective of this study is to examine progress on implementing the Global Strategy by updating previous analyses that estimated and examined official development assistance targeted towards human resources for health. Methods: We leveraged data from IHME’s Development Assistance for Health database, COVID development assistance database and the OECD’s Creditor Reporting System online database. We utilized an updated keyword list to identify the relevant human resources for health-related activities from the project databases. When possible, we also estimated the fraction of human resources for health projects that considered and/or focused on gender as a key factor. We described trends, examined changes in the availability of human resources for health-related development assistance since the adoption of the Global Strategy and compared disease burden and availability of donor resources.
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Further Analysis of the 2011 Ethiopia Demographic and Health
Survey. DHS Further Analysis Reports No. 82
The report showed commitments made three decades ago to protect the rights of children remain unfulfilled for millions. Violence still affects countless children. Discrimination based on age, gender, disability, sexual orientation and religion harms children worldwide.
Key factors include a lack ...of investment in critically important services. Most countries fall well short of spending the 5-6% of GDP needed to ensure universal coverage of essential health care. And foreign aid, which many lower income countries rely on, is falling short in areas such as health, education, protection and child care.
Another factor, the report said, is the lack of quality data. Governments tend to rely on data that reflects national averages, making it difficult to identify the needs of specific children and to monitor progress. Comprehensive data collection and disaggregation of data by gender, age, disability and locality, are increasingly important as rights violations disproportionately affect disadvantaged children.
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