117
Views
0
CrossRef citations to date
0
Altmetric
Original Articles

Influence of functional boundary for corridor spaces in elderly facilities in China

, , , , &
Pages 658-679 | Received 11 Nov 2022, Accepted 09 Aug 2023, Published online: 30 Aug 2023

References

  • Ahn, J. M., & Kim, J. K. (2019). Effects of heart rate on results of HRV analysis. In S. K. Bhatia, S. Tiwari, K. K. Mishra, & M. C. Trivedi (Eds.), Advances in computer communication and computational sciences (pp. 711–722). Springer Singapore.
  • Alexander, C., Ishikawa, S., Silverstein, M., Jacobson, M., Fiksdahl-King, I., Angel, S., (1997). A pattern language: towns, buildings, construction.
  • Álvarez-González, M., Vila, X., Lado, M., Méndez, A., & Rodríguez-Liñares, L. (2010). Web site on heart rate variability: HRV-site. Computing in Cardiology, 37.
  • Azzazy, S., Ghaffarianhoseini, A., GhaffarianHoseini, A., Naismith, N., & Doborjeh, Z. (2021). A critical review on the impact of built environment on users’ measured brain activity. Architectural Science Review, 64(4SI), 319–335. https://doi.org/10.1080/00038628.2020.1749980
  • Bae, J. W., Paik, E., & Singh, K. (2016). Simulation-based population dynamics analysis: Korean population aging. In L. Zhang, X. Song, & Y. Wu (Eds.), Theory, methodology, tools and applications for modeling and simulation of complex systems, Pt Iv (Vol. 646, pp. 358–367). Springer-Verlag Singapore Pte Ltd.
  • Banaei, M., Hatami, J., Yazdanfar, A., & Gramann, K. (2017). Walking through architectural spaces: The impact of interior forms on human brain dynamics. Frontiers in Human Neuroscience, 11, 477. https://doi.org/10.3389/fnhum.2017.00477
  • Bower, I., Tucker, R., & Enticott, P. G. (2019). Impact of built environment design on emotion measured via neurophysiological correlates and subjective indicators: A systematic review. Journal of Environmental Psychology, 66, 101344. https://doi.org/10.1016/j.jenvp.2019.101344
  • Cao, W., & Dewancker, B. (2023). Interpreting spatial layouts of nursing homes based on partitioning theory. Journal of Asian Architecture and Building Engineering, 22(1), 50–67. https://doi.org/10.1080/13467581.2021.2007110
  • Dong, X., Beck, T., & Simon, M. A. (2010). The associations of gender, depression and elder mistreatment in a community-dwelling Chinese population: The modifying effect of social support. Archives of Gerontology and Geriatrics, 50(2), 202–208. https://doi.org/10.1016/j.archger.2009.03.011
  • Edelstein, E. A., & Macagno, E. (2012). Form follows function: Bridging neuroscience and architecture. In S. Th. Rassia, & P. M. Pardalos (Eds.), Sustainable environmental design in architecture: Impacts on health (pp. 27–41). Springer.
  • Edgerton, E., Ritchie, L., & McKechnie, J. (2010). Objective and subjective evaluation of a redesigned corridor environment in a psychiatric hospital. Issues in Mental Health Nursing, 31(5), 306–314. https://doi.org/10.3109/01612840903383976
  • Eerola, T., & Vuoskoski, J. K. (2013). A review of music and emotion studies: Approaches, emotion models, and stimuli. Music Perception, 30(3), 307–340. https://doi.org/10.1525/mp.2012.30.3.307
  • Eijkelenboom, A., Verbeek, H., Felix, E., & van Hoof, J. (2017). Architectural factors influencing the sense of home in nursing homes: An operationalization for practice. Frontiers of Architectural Research, 6(2), 111–122. https://doi.org/10.1016/j.foar.2017.02.004
  • Fernández-Castillo, A. (2009). Influence of sleep quantity and aggressiveness on anxiety during academics evaluation tests. Salud Mental, 32(6), 479–486.
  • Fox, C., Merali, Z., & Harrison, C. (2006). Therapeutic and protective effect of environmental enrichment against psychogenic and neurogenic stress. Behavioural Brain Research, 175(1), 1–8. https://doi.org/10.1016/j.bbr.2006.08.016
  • Gehl, J. (2002). Livet mellem husene, udeaktiviteter og udemiljøe. China Architecture & Building Press.
  • Gharaveis, A. (2020). A systematic framework for understanding environmental design influences on physical activity in the elderly population A review of literature. Facilities, 38(9–10), 625–649. https://doi.org/10.1108/F-08-2018-0094
  • Hertzberger, H. (2017). Lessons for students in architecture. NAi010 Publishers.
  • Hinde, K., White, G., & Armstrong, N. (2021). Wearable devices suitable for monitoring twenty four hour heart rate variability in military populations. Sensors, 21(4), 1061. https://doi.org/10.3390/s21041061
  • Hou, K. (2020). Spatial evaluation and optimal design of pension facilities. Southeast University Press.
  • Hu, H., Xu, Z., & Che, G. (2018). A methodological exploration of converting residences into residential care facilities for the elderly in Old communities—A case study of Chaoyang district. Beijing. Journal of Asian Architecture and Building Engineering, 17(3), 409–416. https://doi.org/10.3130/jaabe.17.409
  • Ilardi, C. R., Gamboz, N., Iavarone, A., Chieffi, S., & Brandimonte, M. A. (2021). Psychometric properties of the STAI-Y scales and normative data in an Italian elderly population. Aging Clinical and Experimental Research, 33(10SI), 2759–2766. https://doi.org/10.1007/s40520-021-01815-0
  • Ji, X., Tong, X., Zhang, X., Yang, Y., Guo, J., Zhang, B., & Cheng, J. (2020). Arousal recognition using EEG signals. In Q. Liang, X. Liu, Z. Na, W. Wang, J. Mu, & B. Zhang (Eds.), Communications, signal processing, and systems, CSPS 2018, Vol Ii: Signal processing (Vol. 516, pp. 394–401). Springer-Verlag Singapore Pte Ltd.
  • Johansson, K., Borell, L., & Rosenberg, L. (2022). Qualities of the environment that support a sense of home and belonging in nursing homes for older people. Ageing & Society, 42(1), 157–178. https://doi.org/10.1017/S0144686X20000896
  • Kaufmann, T., Sütterlin, S., Schulz, S. M., & Vögele, C. (2011). ARTiiFACT: A tool for heart rate artifact processing and heart rate variability analysis. Behavior Research Methods, 43(4), 1161–1170. https://doi.org/10.3758/s13428-011-0107-7
  • Kiecolt-Glaser, J. K., McGuire, L., Robles, T. F., & Glaser, R. (2002). Emotions, morbidity, and mortality: New perspectives from psychoneuroimmunology. Annual Review of Psychology, 53(1), 83–107. https://doi.org/10.1146/annurev.psych.53.100901.135217
  • Kim, D., Lee, Y., Jeong, J., & Kim, S. (2022). Stimulation method and individual health index study for real-time cardiovascular and autonomic nervous system reactivity analysis using PPG signal. Biomedical Signal Processing and Control, 76, 103714. https://doi.org/10.1016/j.bspc.2022.103714
  • Knowles, K. A., & Olatunji, B. O. (2020). Specificity of trait anxiety in anxiety and depression: Meta-analysis of the state-trait anxiety inventory. Clinical Psychology Review, 82, 101928. https://doi.org/10.1016/j.cpr.2020.101928
  • Kong, Z., & Jakubiec, J. A. (2021a). Evaluations of long-term lighting qualities for computer labs in Singapore. Building and Environment, 194, 107689. https://doi.org/10.1016/j.buildenv.2021.107689
  • Kong, Z., & Jakubiec, J. A. (2021b). Instantaneous lighting quality within higher educational classrooms in Singapore. Frontiers of Architectural Research, 10(4), 787–802. https://doi.org/10.1016/j.foar.2021.05.001
  • Kong, Z., Utzinger, D. M., Freihoefer, K., & Steege, T. (2018). The impact of interior design on visual discomfort reduction: A field study integrating lighting environments with POE survey. Building and Environment, 138, 135–148. https://doi.org/10.1016/j.buildenv.2018.04.025
  • Kong, Z., Zhang, R., Ni, J., Ning, P., Kong, X., & Wang, J. (2022). Towards an integration of visual comfort and lighting impression: A field study within higher educational buildings. Building and Environment, 216, 108989. https://doi.org/10.1016/j.buildenv.2022.108989
  • Lee, K. (2022). The interior experience of architecture: An emotional connection between space and the body. Buildings, 12(3), 326. https://doi.org/10.3390/buildings12030326
  • Lee, S., Lee, C., Lee, E., & Roh, J. (2021). A retrospective study of traffic accident inpatients in a Korean medicine hospital: Correlation of STAI-I, STAI-II, BDI, and CSEI-s scores with pain improvement. Journal of Korean Medicine, 42, 72–85. https://doi.org/10.13048/jkm.21026
  • Leung, M., & Liang, Q. (2019). Developing structural facilities management-quality of life models for the elderly in the common areas of public and subsidized housings. Habitat International, 94, 102067. https://doi.org/10.1016/j.habitatint.2019.102067
  • Leung, M., Wang, C., & Famakin, I. O. (2021). Integrated model for indoor built environment and cognitive functional ability of older residents with dementia in care and attention homes. Building and Environment, 195, 107734. https://doi.org/10.1016/j.buildenv.2021.107734
  • Li, J., Jin, Y., Lu, S., Wu, W., & Wang, P. (2020). Building environment information and human perceptual feedback collected through a combined virtual reality (VR) and electroencephalogram (EEG) method. Energy and Buildings, 224, 110259. https://doi.org/10.1016/j.enbuild.2020.110259
  • Li, J., Wu, W., Jin, Y., Zhao, R., & Bian, W. (2021). Research on environmental comfort and cognitive performance based on EEG plus VR plus LEC evaluation method in underground space. Building and Environment, 198, 107886. https://doi.org/10.1016/j.buildenv.2021.107886
  • Lundell, R. V., Tuominen, L., Ojanen, T., Parkkola, K., & Raisanen-Sokolowski, A. (2021). Diving responses in experienced rebreather divers: Short-term heart rate variability in cold water diving. Frontiers in Physiology, 12, 649319. https://doi.org/10.3389/fphys.2021.649319
  • Martinez-Canino, R., Delorme, A., Truong, D., Artoni, F., Kreutz-Delgado, K., Sivagnanam, S., Yoshimoto, K., Majumdar, A., & Makeig, S. (2021). The open EEGLAB portal interface: High-performance computing with EEGLAB. Neuroimage, 224, 116778. https://doi.org/10.1016/j.neuroimage.2020.116778
  • Martino, P. F., Miller, D. P., Miller, J. R., Allen, M. T., Cook-Snyder, D. R., Handy, J. D., & Servatius, R. J. (2020). Cardiorespiratory response to moderate hypercapnia in female college students expressing behaviorally inhibited temperament. Frontiers in Neuroscience, 14, 588813. https://doi.org/10.3389/fnins.2020.588813
  • Mavros, P., Austwick, M. Z., & Smith, A. H. (2016). Geo-EEG: Towards the use of EEG in the study of urban behaviour. Applied Spatial Analysis and Policy, 9(2), 191–212. https://doi.org/10.1007/s12061-015-9181-z
  • Müller, A. M., Wang, N. X., Yao, J., Tan, C. S., Low, I. C. C., Lim, N., Tan, J., Tan, A., & Müller-Riemenschneider, F. (2019). Heart rate measures from wrist-worn activity trackers in a laboratory and free-living setting: Validation study. JMIR MHealth and UHealth, 7(10), e14120. https://doi.org/10.2196/14120
  • Nakazawa, H., Ikeda, H., Yamashita, T., Hara, I., Kumai, Y., Endo, G., & Endo, Y. (2005). A case of sick building syndrome in a Japanese office worker. Industrial Health, 43(2), 341–345. https://doi.org/10.2486/indhealth.43.341
  • National Bureau of Statistics of the People’s Republic of China. (2021). The 7th National Population Census Communiqué (No. 5). http://www.gov.cn
  • Park, H., Lim, D.-Y., Hyeok, C. E., & Lee, K.-S. (2013). Analysis on the domestic and international illumination research trends in 2012 and further study suggestion. Journal of the Korean Institute of Illuminating and Electrical Installation Engineers, 27(12), 28–37. https://doi.org/10.5207/JIEIE.2013.27.12.028
  • Park, S. B., Lee, B. C., & Jeong, K. S. (2007). Standardized tests of heart rate variability for autonomic function tests in healthy Koreans. International Journal of Neuroscience, 117(12), 1707–1717. https://doi.org/10.1080/00207450601050097
  • Pino-Ortega, J., Rico-González, M., Gantois, P., & Nakamura, F. Y. (2021). Level of agreement between sPRO and kubios software in the analysis of R-R intervals obtained by a chest strap. Proceedings of the Institution of Mechanical Engineers. Part P: Journal of Sports Engineering and Technology, 17543371211031144. https://doi.org/10.1177/17543371211031145
  • Rossi, V., & Pourtois, G. (2012). Transient state-dependent fluctuations in anxiety measured using STAI, POMS, PANAS or VAS: A comparative review. Anxiety, Stress, and Coping, 25(6), 603–645. https://doi.org/10.1080/10615806.2011.582948
  • Schnell, I., Hijazi, B., Saadi, D., & Tirosh, E. (2022). Women emotional, cognitive and physiological modes of coping with daily urban environments: A pilot study. International Journal of Environmental Research and Public Health, 19(13), 8190. https://doi.org/10.3390/ijerph19138190
  • Stach, T., Browarska, N., & Kawala-Janik, A. (2018). Initial study on using emotiv EPOC plus neuroheadset as a control device for picture script-based communicators. IFAC Papersonline, 51(6), 180–184. https://doi.org/10.1016/j.ifacol.2018.07.150
  • Tarvainen, M., Cornforth, D., & Jelinek, H. (2014). Principal component analysis of heart rate variability data in assessing cardiac autonomic neuropathy. Proceedings Article published Aug 2014 in 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBC 2014 (pp. 6667–6670). https://doi.org/10.1109/EMBC.2014.6945157
  • Topcu, U. (2020). Reflections of gender on the urban green space. Archnet-IJAR: International Journal of Architectural Research, 14(1), 70–76. https://doi.org/10.1108/ARCH-04-2019-0071
  • Vartanian, O., Navarrete, G., Chatterjee, A., Brorson Fich, L., Leder, H., Mondrono, C., Nadal, M., Rostrup, N., & Skov, M. (2013). Impact of contour on aesthetic judgments and approach-avoidance decisions in architecture. Proceedings of the National Academy of Sciences of the United States of America, 110(Supplement 2). https://doi.org/10.1073/pnas.1301227110
  • Vartanian, O., Navarrete, G., Chatterjee, A., Fich, L. B., Gonzalez-Mora, J. L., Leder, H., Modroño, C., Nadal, M., Rostrup, N., & Skov, M. (2015). Architectural design and the brain: Effects of ceiling height and perceived enclosure on beauty judgments and approach-avoidance decisions. Journal of Environmental Psychology, 41, 10–18. https://doi.org/10.1016/j.jenvp.2014.11.006
  • Vecchiato, G., Jelic, A., Tieri, G., Maglione, A. G., De Matteis, F., & Babiloni, F. (2015). Neurophysiological correlates of embodiment and motivational factors during the perception of virtual architectural environments. Cognitive Processing, 16(1), 425–429. https://doi.org/10.1007/s10339-015-0725-6
  • Verma, G. K., & Tiwary, U. S. (2014). Multimodal fusion framework: A multiresolution approach for emotion classification and recognition from physiological signals. Neuroimage, 102(1), 162–172. https://doi.org/10.1016/j.neuroimage.2013.11.007
  • Vogelsang, E. M., Raymo, J. M., Liang, J., Kobayashi, E., & Fukaya, T. (2019). Population aging and health trajectories at older ages. Journals of Gerontology Series B-Psychological Sciences and Social Sciences, 74(7), 1245–1255. https://doi.org/10.1093/geronb/gbx071
  • Wang, H., Hou, K., Kong, Z., Guan, X., Hu, S., Lu, M., Piao, X., & Qian, Y. (2022). “In-Between area” design method: An optimization design method for indoor public spaces for elderly facilities evaluated by STAI, HRV and EEG. Buildings, 12(8), 8. https://doi.org/10.3390/buildings12081274
  • Wold, S., Esbensen, K., & Geladi, P. (1987). Principal component analysis. Chemometrics and Intelligent Laboratory Systems, 2(1), 37–52. https://doi.org/10.1016/0169-7439(87)80084-9
  • Xinhua News Agency. (2021). Outline of the People’s Republic of China 14th Five-Year Plan for National Economic and Social Development and Long-Range Objectives for 2035. http://www.gov.cn
  • Yang, Y., Hu, L., Zhang, R., Zhu, X., & Wang, M. (2021). Investigation of students’ short-term memory performance and thermal sensation with heart rate variability under different environments in summer. Building and Environment, 195, 107765. https://doi.org/10.1016/j.buildenv.2021.107765
  • Yu, J., Ma, G., & Chen, Y. (2017). Comparison of the built environment of homes for the aged in China by post occupancy evaluation. Journal of Architectural Engineering, 23(3), 04017015. https://doi.org/10.1061/(ASCE)AE.1943-5568.0000264
  • Yu, J., Ma, G., & Jiang, X. (2017). Impact of the built environment and care services within rural nursing homes in China on quality of life for elderly residents. Engineering. Construction and Architectural Management, 24(6), 1170–1183. https://doi.org/10.1108/ECAM-08-2016-0187
  • Zhan, H., Yu, J., & Yu, R. (2021). Assessment of older adults’ acceptance of IEQ in nursing homes using both subjective and objective methods. Building and Environment, 203, 108063. https://doi.org/10.1016/j.buildenv.2021.108063
  • Zheng, W.-L., Zhu, J.-Y., & Lu, B.-L. (2019). Identifying stable patterns over time for emotion recognition from EEG. IEEE Transactions on Affective Computing, 10(3), 417–429. https://doi.org/10.1109/TAFFC.2017.2712143
  • Zhu, J., Ji, L., & Liu, C. (2019). Heart rate variability monitoring for emotion and disorders of emotion. Physiological Measurement, 40(6), 064004. https://doi.org/10.1088/1361-6579/ab1887

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.