Non-communicable diseases (NCDs) are of increasing concern for society and national governments, as well as globally due to their high mortality rate. The main risk factors of NCDs can be classified into the categories of self-management, genetic factors, environmental factors, factors of medical co...nditions, and socio-demographic factors.
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This briefing note summarizes work undertaken by UN Women and WHO to inform the development of a module on violence against women 60 years and older that can be included in dedicated surveys on violence against women. It provides an overview of the challenges in the availability, measurement, and co...llection of data on violence against older women. It also makes recommendations to address some of the issues identified, with the aim of strengthening ongoing and future data collection efforts on violence against older women and increasing its availability.
Developed as part of the UN Women–WHO Global Joint Programme on Violence Against Women Data, this methodological briefing note is one in a series that aims to strengthen the measurement and data collection of violence against particular groups of women or specific aspects of violence against women. These briefing notes are meant for researchers, national statistics offices, and others involved in data collection on violence against women. They seek to contribute to strengthening the quality and availability of data on violence against women and enhance global, regional, and national level monitoring of progress towards its elimination.
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Asia remained the world’s most disaster-hit region from weather, climate and water-related hazards in 2023. Floods and storms caused the highest number of reported casualties and economic losses, whilst the impact of heatwaves became more severe, according to a new report from the World Meteorolog...ical Organization (WMO).
The State of the Climate in Asia 2023 report highlighted the accelerating rate of key climate change indicators such as surface temperature, glacier retreat and sea level rise, which will have major repercussions for societies, economies and ecosystems in the region.
In 2023, sea-surface temperatures in the north-west Pacific Ocean were the highest on record. Even the Arctic Ocean suffered a marine heatwave.
Asia is warming faster than the global average. The warming trend has nearly doubled since the 1961–1990 period.
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Asthma is the most common chronic disease in children, imposing a consistent burden on health system. In recent years, prevalence of asthma symptoms became globally increased in children and adolescents, particularly in Low-Middle Income Countries (LMICs). Host (genetics, atopy) and environmental fa...ctors (microbial exposure, exposure to passive smoking and air pollution), seemed to contribute to this trend. The increased prevalence observed in metropolitan areas with respect to rural ones and, overall, in industrialized countries, highlighted the role of air pollution in asthma inception. Asthma accounts for 1.1% of the overall global estimate of “Disability-adjusted life years” (DALYs)/100,000 for all causes. Mortality in children is low and it decreased across Europe over recent years. Children from LMICs particularly suffer a disproportionately higher burden in terms of morbidity and mortality. Global asthma-related costs are high and are usually are classified into direct, indirect and intangible costs. Direct costs account for 50–80% of the total costs. Asthma is one of the main causes of hospitalization which are particularly common in children aged < 5 years with a prevalence that has been increased during the last two decades, mostly in LMICs. Indirect costs are usually higher than in older patients, including both school and work-related losses. Intangible costs are unquantifiable, since they are related to impairment of quality of life, limitation of physical activities and study performance. The implementation of strategies aimed at early detect asthma thus providing access to the proper treatment has been shown to effectively reduce the burden of the disease.
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Under-diagnosis of asthma in ‘under-fives’ may be alleviated by improved inquiry into disease history. We assessed a questionnaire-based screening tool for asthma among 614 ‘under-fives’ with severe respiratory illness in Uganda. The questionnaire responses were compared to post hoc consensu...s diagnoses by three pediatricians who were guided by study definitions that were based on medical history, physical examination findings, laboratory and radiological tests, and response to bronchodilators. Children with asthma or bronchiolitis were categorized as “asthma syndrome”. Using this approach, 253 (41.2%) had asthma syndrome. History of and present breathing difficulties and present cough and wheezing was the best performing combination of four questionnaire items [sensitivity 80.8% (95% CI 77.6–84.0); specificity 84.7% (95% CI 81.8–87.6)]. The screening tool for asthma syndrome in ‘under-fives’ may provide a simple, cheap and quick method of identifying children with possible asthma. The validity and reliability of this tool in primary care settings should be tested.
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Data on asthma aetiology in Africa are scarce. We investigated the risk factors for asthma among schoolchildren (5–17 years) in urban Uganda. We conducted a case-control study, among 555 cases and 1115 controls. Asthma was diagnosed by study clinicians. The main risk factors for asthma were tertia...ry education for fathers (adjusted OR (95% CI); 2.32 (1.71–3.16)) and mothers (1.85 (1.38–2.48)); area of residence at birth, with children born in a small town or in the city having an increased asthma risk compared to schoolchildren born in rural areas (2.16 (1.60–2.92)) and (2.79 (1.79–4.35)), respectively; father’s and mother’s history of asthma; children’s own allergic conditions; atopy; and cooking on gas/electricity. In conclusion, asthma was associated with a strong rural-town-city risk gradient, higher parental socio-economic status and urbanicity. This work provides the basis for future studies to identify specific environmental/lifestyle factors responsible for increasing asthma risk among children in urban areas in LMICs.
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