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      Thermal Personalities of Older People in South Australia: A Personas-Based Approach to Develop Thermal Comfort Guidelines

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          Abstract

          An important consideration for future age-friendly cities is that older people are able to live in housing appropriate for their needs. While thermal comfort in the home is vital for the health and well-being of older people, there are currently few guidelines about how to achieve this. This study is part of a research project that aims to improve the thermal environment of housing for older Australians by investigating the thermal comfort of older people living independently in South Australia and developing thermal comfort guidelines for people ageing-in-place. This paper describes the approach fundamental for developing the guidelines, using data from the study participants’ and the concept of personas to develop a number of discrete “thermal personalities”. Hierarchical Cluster Analysis (HCA) was implemented to analyse the features of research participants, resulting in six distinct clusters. Quantitative and qualitative data from earlier stages of the project were then used to develop the thermal personalities of each cluster. The thermal personalities represent different approaches to achieving thermal comfort, taking into account a wide range of factors including personal characteristics, ideas, beliefs and knowledge, house type, and location. Basing the guidelines on thermal personalities highlights the heterogeneity of older people and the context-dependent nature of thermal comfort in the home and will make the guidelines more user-friendly and useful.

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          Silhouettes: A graphical aid to the interpretation and validation of cluster analysis

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            Present and future Köppen-Geiger climate classification maps at 1-km resolution

            We present new global maps of the Köppen-Geiger climate classification at an unprecedented 1-km resolution for the present-day (1980–2016) and for projected future conditions (2071–2100) under climate change. The present-day map is derived from an ensemble of four high-resolution, topographically-corrected climatic maps. The future map is derived from an ensemble of 32 climate model projections (scenario RCP8.5), by superimposing the projected climate change anomaly on the baseline high-resolution climatic maps. For both time periods we calculate confidence levels from the ensemble spread, providing valuable indications of the reliability of the classifications. The new maps exhibit a higher classification accuracy and substantially more detail than previous maps, particularly in regions with sharp spatial or elevation gradients. We anticipate the new maps will be useful for numerous applications, including species and vegetation distribution modeling. The new maps including the associated confidence maps are freely available via www.gloh2o.org/koppen.
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              Translation, adaptation and validation of instruments or scales for use in cross-cultural health care research: a clear and user-friendly guideline.

              The diversity of the population worldwide suggests a great need for cross-culturally validated research instruments or scales. Researchers and clinicians must have access to reliable and valid measures of concepts of interest in their own cultures and languages to conduct cross-cultural research and/or provide quality patient care. Although there are well-established methodological approaches for translating, adapting and validating instruments or scales for use in cross-cultural health care research, a great variation in the use of these approaches continues to prevail in the health care literature. Therefore, the objectives of this scholarly paper were to review published recommendations of cross-cultural validation of instruments and scales, and to propose and present a clear and user-friendly guideline for the translation, adaptation and validation of instruments or scales for cross-cultural health care research. A review of highly recommended methodological approaches to translation, adaptation and cross-cultural validation of research instruments or scales was performed. Recommendations were summarized and incorporated into a seven-step guideline. Each one of the steps was described and key points were highlighted. Example of a project using the proposed steps of the guideline was fully described. Translation, adaptation and validation of instruments or scales for cross-cultural research is very time-consuming and requires careful planning and the adoption of rigorous methodological approaches to derive a reliable and valid measure of the concept of interest in the target population. © 2010 Blackwell Publishing Ltd.
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                Author and article information

                Journal
                Int J Environ Res Public Health
                Int J Environ Res Public Health
                ijerph
                International Journal of Environmental Research and Public Health
                MDPI
                1661-7827
                1660-4601
                13 November 2020
                November 2020
                : 17
                : 22
                : 8402
                Affiliations
                [1 ]School of Architecture and the Built Environment, The University of Adelaide, North Terrace, Adelaide, SA 5005, Australia; larissa.arakawamartins@ 123456adelaide.edu.au (L.A.M.); veronica.soebarto@ 123456adelaide.edu.au (V.S.)
                [2 ]Faculty of Social Work & Education, The Hague University of Applied Sciences, Johanna Westerdijkplein 75, 2521 EN Den Haag, The Netherlands; j.vanhoof@ 123456hhs.nl
                [3 ]Institute of Spatial Management, Faculty of Environmental Engineering and Geodesy, Wrocław University of Environmental and Life Sciences, ul. Grunwaldzka 55, 50-357 Wrocław, Poland
                Author notes
                [* ]Correspondence: helen.bennetts@ 123456adelaide.edu.au ; Tel.: +61-8-313-5836
                Author information
                https://orcid.org/0000-0002-3600-0382
                https://orcid.org/0000-0003-3224-8556
                https://orcid.org/0000-0001-9704-7128
                https://orcid.org/0000-0003-1397-8414
                Article
                ijerph-17-08402
                10.3390/ijerph17228402
                7698095
                33202798
                52ee6c03-2ab0-45ff-91c8-8df155131e20
                © 2020 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 10 October 2020
                : 10 November 2020
                Categories
                Article

                Public health
                housing,cluster analysis,thermal comfort,design guidelines,heating,cooling
                Public health
                housing, cluster analysis, thermal comfort, design guidelines, heating, cooling

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