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      The impacts of climate change on occupational heat strain in outdoor workers: A systematic review

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      Urban Climate
      Elsevier BV

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          Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015: elaboration and explanation

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            Reviewing studies with diverse designs: the development and evaluation of a new tool.

            RATIONALE, AIMS & OBJECTIVE: Tools for the assessment of the quality of research studies tend to be specific to a particular research design (e.g. randomized controlled trials, or qualitative interviews). This makes it difficult to assess the quality of a body of research that addresses the same or a similar research question but using different approaches. The aim of this paper is to describe the development and preliminary evaluation of a quality assessment tool that can be applied to a methodologically diverse set of research articles. The 16-item quality assessment tool (QATSDD) was assessed to determine its reliability and validity when used by health services researchers in the disciplines of psychology, sociology and nursing. Qualitative feedback was also gathered from mixed-methods health researchers regarding the comprehension, content, perceived value and usability of the tool. Reference to existing widely used quality assessment tools and experts in systematic review confirmed that the components of the tool represented the construct of 'good research technique' being assessed. Face validity was subsequently established through feedback from a sample of nine health researchers. Inter-rater reliability was established through substantial agreement between three reviewers when applying the tool to a set of three research papers (κ = 71.5%), and good to substantial agreement between their scores at time 1 and after a 6-week interval at time 2 confirmed test-retest reliability. The QATSDD shows good reliability and validity for use in the quality assessment of a diversity of studies, and may be an extremely useful tool for reviewers to standardize and increase the rigour of their assessments in reviews of the published papers which include qualitative and quantitative work. © 2011 Blackwell Publishing Ltd.
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              Is Open Access

              Projecting Future Heat-Related Mortality under Climate Change Scenarios: A Systematic Review

              Background: Heat-related mortality is a matter of great public health concern, especially in the light of climate change. Although many studies have found associations between high temperatures and mortality, more research is needed to project the future impacts of climate change on heat-related mortality. Objectives: We conducted a systematic review of research and methods for projecting future heat-related mortality under climate change scenarios. Data sources and extraction: A literature search was conducted in August 2010, using the electronic databases PubMed, Scopus, ScienceDirect, ProQuest, and Web of Science. The search was limited to peer-reviewed journal articles published in English from January 1980 through July 2010. Data synthesis: Fourteen studies fulfilled the inclusion criteria. Most projections showed that climate change would result in a substantial increase in heat-related mortality. Projecting heat-related mortality requires understanding historical temperature–mortality relationships and considering the future changes in climate, population, and acclimatization. Further research is needed to provide a stronger theoretical framework for projections, including a better understanding of socioeconomic development, adaptation strategies, land-use patterns, air pollution, and mortality displacement. Conclusions: Scenario-based projection research will meaningfully contribute to assessing and managing the potential impacts of climate change on heat-related mortality.
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                Author and article information

                Journal
                Urban Climate
                Urban Climate
                Elsevier BV
                22120955
                March 2021
                March 2021
                : 36
                : 100770
                Article
                10.1016/j.uclim.2021.100770
                57d04c25-607d-4450-a0e6-d3dcfb169cbc
                © 2021

                https://www.elsevier.com/tdm/userlicense/1.0/

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