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      A STUDY ON THE EVALUATION METHODS OF INDOOR LIGHT ENVIRONMENT FOR OCCUPANT COMFORT AND WELL-BEING

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          ABSTRACT

          Since the COVID-19 pandemic, awareness of the importance of the indoor environment has increased. The indoor light environment is crucial because it impacts the energy consumption of buildings and affects human health and biorhythms as people spend most of their time indoors. Previous studies have concluded that the indoor light environment is essential to human health. However, it is not sufficient to analyze and evaluate the indoor light environment related to occupants’ health in the context of building design. Therefore, this study aims to review and propose an indoor light environment evaluation methodology for human well-being using quantitative and qualitative evaluations of light, health, and environment. This study presents guidelines for evaluating buildings’ indoor light environment for sustainability and well-being. Additionally, it provides an overall checklist of the indoor light environment evaluation process in Conceptualization, Light Environment Identification, Questionnaire, Environment Analysis, Comparison, and Conclusion. The evaluation checklist established through the results of this study could help establish a research methodology for the indoor light environment for human well-being and apply it to evaluate indoor light environments for residents’ comfort and well-being.

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          Most cited references78

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          The Pittsburgh sleep quality index: A new instrument for psychiatric practice and research

          Despite the prevalence of sleep complaints among psychiatric patients, few questionnaires have been specifically designed to measure sleep quality in clinical populations. The Pittsburgh Sleep Quality Index (PSQI) is a self-rated questionnaire which assesses sleep quality and disturbances over a 1-month time interval. Nineteen individual items generate seven "component" scores: subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbances, use of sleeping medication, and daytime dysfunction. The sum of scores for these seven components yields one global score. Clinical and clinimetric properties of the PSQI were assessed over an 18-month period with "good" sleepers (healthy subjects, n = 52) and "poor" sleepers (depressed patients, n = 54; sleep-disorder patients, n = 62). Acceptable measures of internal homogeneity, consistency (test-retest reliability), and validity were obtained. A global PSQI score greater than 5 yielded a diagnostic sensitivity of 89.6% and specificity of 86.5% (kappa = 0.75, p less than 0.001) in distinguishing good and poor sleepers. The clinimetric and clinical properties of the PSQI suggest its utility both in psychiatric clinical practice and research activities.
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            The journal coverage of Web of Science and Scopus: a comparative analysis

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              Using the Berlin Questionnaire to identify patients at risk for the sleep apnea syndrome.

              Although sleep apnea is common, it often goes undiagnosed in primary care encounters. To test the Berlin Questionnaire as a means of identifying patients with sleep apnea. Survey followed by portable, unattended sleep studies in a subset of patients. Five primary care sites in Cleveland, Ohio. 744 adults (of 1008 surveyed [74%]), of whom 100 underwent sleep studies. Survey items addressed the presence and frequency of snoring behavior, waketime sleepiness or fatigue, and history of obesity or hypertension. Patients with persistent and frequent symptoms in any two of these three domains were considered to be at high risk for sleep apnea. Portable sleep monitoring was conducted to measure the number of respiratory events per hour in bed (respiratory disturbance index [RDI]). Questions about symptoms demonstrated internal consistency (Cronbach correlations, 0.86 to 0.92). Of the 744 respondents, 279 (37.5%) were in a high-risk group that was defined a priori. For the 100 patients who underwent sleep studies, risk grouping was useful in prediction of the RDI. For example, being in the high-risk group predicted an RDI greater than 5 with a sensitivity of 0.86, a specificity of 0.77, a positive predictive value of 0.89, and a likelihood ratio of 3.79. The Berlin Questionnaire provides a means of identifying patients who are likely to have sleep apnea.

                Author and article information

                Journal
                jgrb
                Journal of Green Building
                College Publishing
                1943-4618
                1552-6100
                Winter 2024
                23 February 2024
                : 19
                : 1
                : 205-234
                Affiliations
                [1 ]School of Architecture, Hongik University, Seoul 04066, Republic of Korea; kkl881008@ 123456gmail.com
                [2 ]Department of Future & Smart Construction Research, KICT, Goyang-Si 10223, Republic of Korea; juklee531@ 123456gmail.com
                Author notes
                [* ]Author to whom correspondence should be addressed; E-Mail: ksunlee01@ 123456gmail.com Tel.: +82-10-3731-2170 (K.L.)
                Article
                10.3992/jgb.19.1.205
                fd6bc656-0b01-4062-972d-45e81c396597
                © 2024 College Publishing
                History
                Page count
                Pages: 30
                Categories
                RESEARCH ARTICLES

                Urban design & Planning,Civil engineering,Environmental management, Policy & Planning,Architecture,Environmental engineering
                Indoor light environment,Evaluation system,Building design,Sustainability,Daylight,Well-being

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