During the first year of the Covid-19 pandemic, the world’s economy slowed. Yet, the global annual average particulate pollution (PM2.5) was largely unchanged from 2019 levels. At the same time, growing evidence shows air pollution—even when experienced at very low levels—hurts human health. T...his recently led the World Health Organization (WHO) to revise its guideline for what it considers a safe level of exposure of particulate pollution, bringing most of the world—97.3 percent of the global population—into the unsafe zone. The AQLI finds that particulate air pollution takes 2.2 years off global average life expectancy, or a combined 17 billion life-years, relative to a world that met the WHO guideline. This impact on life expectancy is comparable to that of smoking, more than three times that of alcohol use and unsafe water, six times that of HIV/AIDS, and 89 times that of conflict and terrorism.
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Bulletin of the World Health Organization, 2000, 78 (6)
Dermatologic Clinics Volume 29, Issue 1p1-8January 2011
HRH SA 2030 | Draft HR Strategy for the Health Sector: 2012/13 – 2016/17 Consultation Document
Case study
Alliance Ukraine’s experience integrating HIV, harm reduction and sexual and reproductive health programming
Globalization and Health201612:53 DOI: 10.1186/s12992-016-0194-4
European Journal of Biomedical and Pharmaceutical Sciences, vol.3 (2016) 1, 192-206
This review shows that if all sub areas of pharmaceutical waste management can efficiently work back to back environmental pollution and dangers to human health can reduce significantly.
Rutstein SE et al. Journal of the International AIDS Society 2017, 20:21579 http://www.jiasociety.org/index.php/jias/article/view/21579 | http://dx.doi.org/10.7448/IAS.20.1.21579
Background
Noncommunicable diseases are major contributors to morbidity and mortality worldwide. Modifying the risk factors for these conditions, such as physical inactivity, is thus essential. Addressing the context or circumstances in which physical activity occurs may promote physical activity a...t a population level. We assessed the effects of infrastructure, policy or regulatory interventions for increasing physical activity.
Methods
We searched PubMed, Embase and clinicaltrials.gov to identify randomised controlled trials (RCTs), controlled before-after (CBAs) studies, and interrupted time series (ITS) studies assessing population-level infrastructure or policy and regulatory interventions to increase physical activity. We were interested in the effects of these interventions on physical activity, body weight and related measures, blood pressure, and CVD and type 2 diabetes morbidity and mortality, and on other secondary outcomes. Screening and data extraction was done in duplicate, with risk of bias was using an adapted Cochrane risk of bias tool. Due to high levels of heterogeneity, we synthesised the evidence based on effect direction.
Results
We included 33 studies, mostly conducted in high-income countries. Of these, 13 assessed infrastructure changes to green or other spaces to promote physical activity and 18 infrastructure changes to promote active transport. The effects of identified interventions on physical activity, body weight and blood pressure varied across studies (very low certainty evidence); thus, we remain very uncertain about the effects of these interventions. Two studies assessed the effects of policy and regulatory interventions; one provided free access to physical activity facilities and showed that it may have beneficial effects on physical activity (low certainty evidence). The other provided free bus travel for youth, with intervention effects varying across studies (very low certainty evidence).
Conclusions
Evidence from 33 studies assessing infrastructure, policy and regulatory interventions for increasing physical activity showed varying results. The certainty of the evidence was mostly very low, due to study designs included and inconsistent findings between studies. Despite this drawback, the evidence indicates that providing access to physical activity facilities may be beneficial; however this finding is based on only one study. Implementation of these interventions requires full consideration of contextual factors, especially in low resource settings.
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BMC Health Services Research (2017) 17:623 DOI 10.1186/s12913-017-2567-7
Ann Indian Acad Neurol. 2015 Sep; 18(Suppl 1): S2–S5.
doi: 10.4103/0972-2327.164812
PMCID: PMC4604693
PMID: 26538844
The European Journal of Public Health, Vol. 28, No. 1, 145–149
The Author 2017. Published by Oxford University Press on behalf of the European Public Health Association.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http:...//creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
doi:10.1093/eurpub/ckx122 Advance Access published on 31 August 2017
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Original research article
Contraception 97 (2018) 439–444
https://doi.org/10.1016/j.contraception.2018.01.003
0010-7824/© 2018 The Authors. Published by Elsevier Inc.