Objective: To review from an architectural lighting perspective the effects of indoor lighting on the health and well-being of people in senior living environments.
Background: The role of circadian rhythms in people with chronic disorders continues to be a focus of laboratory research and clinical trials. Beneficial, evidence-based indoor lighting design strategies are being considered for senior living environments, particularly for residents who have limited access to natural bright light.
Methods: Articles published 2002-2012 reporting the results of prospective, randomized, controlled clinical trials (RCTs) were accessed using the U.S. National Library of Medicine PubMed site using the following search terms: "light, sleep, circadian, randomized, controlled, nursing home" and "light, sleep, circadian, randomized, controlled, elderly."
Results: The search resulted in 48 citations, of which 18 meet our pre-search criteria. Data from these RCTs indicate options such as programmable, 24-hour lighting algorithms that may involve light intensity, lighting duration, spectra (wavelength) and lighting timing sequences
Conclusions: Valid and actionable data are available about circadian rhythms, sleep, and human health and well-being that can inform the design of lighting for long-term care. Evidence-based architectural design of a 24-hour light/dark environment for residents may mitigate symptoms of circadian disruption; evidence-based management of darkness is as important as evidence-based management of light. Further research is needed into the long-term circadian health needs of night staff members in order to understand the effects of shift work while, at the same time providing the highest level of care.
Keywords: Design process, elderly, evidence-based design, lighting, literature review.
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http://dx.doi.org/10.1177/193758671300700106 | DOI Listing |
Perspect Med Educ
January 2025
Hartford Hospital and the Institute of Living, Hartford, Connecticut, USA.
Purpose: Medical school admissions is a vital area for advancing diversity, equity, and inclusion (DEI). Integrating bias recognition and management (BRM) within the context of admissions is critical in advancing DEI. However, there is a dearth of empirically informed literature on BRM in the admissions context.
View Article and Find Full Text PDFJAMA Health Forum
January 2025
Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts.
Importance: Although Medicare Advantage plans frequently offer dental benefits, enrollees report lower rates of dental care use and higher rates of unmet dental need compared with individuals with employer-sponsored benefits. It is unknown which attributes of Medicare Advantage dental plans are associated with enhanced dental care access.
Objective: To determine attributes of Medicare Advantage dental plans associated with higher rates of dental care use and lower rates of unmet dental need.
Pediatr Rheumatol Online J
January 2025
School of Pharmacy, Faculty of Medical Sciences, Newcastle University, King George VI Building, Queen Victoria Road, Newcastle-upon-Tyne, NE2 4RU, UK.
Background: There is limited literature in paediatric rheumatology describing holistic lived experiences of medical treatment from perspectives of children and young people (CYP) and their parents or carers (PC). This is important as it could have implications for adherence. This study aimed to explore treatment experiences of CYP and PC in a paediatric rheumatology service.
View Article and Find Full Text PDFN Z Med J
January 2025
Editor-in-Chief, La Tunisie Médicale.
BMJ Open
January 2025
Department of Economics, University of Indonesia Faculty of Economics and Business, Depok, Jawa Barat, Indonesia.
Objectives: To investigate the relationship between purchasing loose cigarettes and adolescent smoking habits in Indonesia.
Design And Setting: This study employed a mixed-methods sequential explanatory design. We analysed the secondary data from a national survey, the 2019 Global Youth Tobacco Survey, using multivariable logistic regression models to examine the association between loose cigarette purchase and smoking frequency and intensity and nicotine dependence.
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