PEQI-based environmental predictors of the residential satisfaction of older women |
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| Institution: | 1. Department of Surgery, Division of Paediatric Urology, Our Lady''s Hospital for Sick Children, Crumlin, Dublin, Ireland;2. Department of Pathology, Our Lady''s Hospital for Sick Children, Crumlin, Dublin, Ireland;1. School of Life Sciences, Tiangong University, Tianjin 300387, China;2. School of Electronics and Information Engineering, Tiangong University, Tianjin 300387, China;3. Tianjin Key Laboratory of Optoelectronic Detection Technology and Systems, Tianjin 300387, China;4. School of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin 300072, China;5. Tianjin Shareshine Technology Co, LTD, Tianjin 300384, China;1. Department of Biomolecular Systems, Max-Planck-Institute of Colloids and Interfaces, Am Mühlenberg 1, 14476 Potsdam, Germany;2. Freie Universität Berlin, Institute of Chemistry and Biochemistry, Arnimallee 22, 14195 Berlin, Germany;1. Département de Médecine Physique et de Réadaptation, CHU de Montpellier, CHU Lapeyronie, avenue du Doyen-Gaston-Giraud, 34000 Montpellier, France;2. Département de Médecine Physique et de Réadaptation, CHU de Nîmes, 30000 Nîmes, France;3. Université Clermont-Auvergne, 63000 Clermont-Ferrand, France;4. CHU de Clermont-Ferrand, Service de Médecine Physique et de Réadaptation, 63003 Clermont-Ferrand, France;5. Unité de Nutrition Humaine, Inra, UMR 1019, CRNH Auvergne, 63003 Clermont-Ferrand, France;1. The School of Energy, Geoscience, Infrastructure and Society, Heriot–Watt University, Edinburgh EH14 4AS, United Kingdom;2. User Behaviour and Field Trials, Division Electrical Energy Systems EES, Fraunhofer Institute for Solar Energy Systems ISE, Heidenhofstrasse 2, 79110 Freiburg, Germany;3. Energy Systems Research Unit, Mechanical and Aerospace Engineering, University of Strathclyde, Glasgow, G1 1XJ, United Kingdom;4. ITI – Instituto Tecnológico de Informática, Ciudad Politécnica de la Innovación – UPV, Camino de Vera, s/n. Ed / Bldg. 8G. Acc. B – Nivel 4, 46022 Valencia, Spain |
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| Abstract: | The residential environment occupies a special place in the lives of older adults, and satisfaction with the residential environment has been linked with general psychological well-being among the elderly. While older residents may be especially sensitive to environmental conditions, few studies have established strong empirical linkages between objective residential variables and subjective satisfaction with living units (LUs) and local areas (LAs). The purpose of this study is to explore critical issues in environmental assessment using a case study sample of 88 elderly female residents. Alternative techniques for defining multi-item variables are discussed, including a multiple regression process employing Perceived Environmental Quality Indices (PEQIs) as initial criteria. In the case study, the PEQI-based scaling technique was used to develop 26 environmental variables representing objective resource attributes of LUs and LAs. Twelve of the fifteen environmental scales at the LU level were significantly correlated with general living unit satisfaction, and seven of the eleven environmental scales at the LA level were significantly correlated with general satisfaction with the local area. Multiple regression analyses using the PEQI-based variables explained 31% of the variance in LU satisfaction and 20% of the variance in LA satisfaction after controlling for personal characteristics of residents. Interpretation and application of the environmental scales for assessing residential settings are discussed. Although qualified in their generalizability, positive results of the case study support further development and validation of the PEQIbased scaling technique. |
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