Age - For example: Gen X, Gen Y, Baby Boomers

Investigators have found that varying lighting in nursing homes during the course of the day, so that light intensity and color mimics lighting conditions outdoors, supports better sleep among residents. Baier, Miller,  McCreedy, Uth, Wetle, Noell-Waggoner, Stringer, and Gifford, used data collected from study participants with an average age of 88 to better understand sleep related issues among nursing home residents: “Nursing home residents tend to fall asleep at all hours of the day, and during the night, their sleep may be interrupted by periods of wakefulness. . .

Zhao lead a group that investigated how environments can influence cheating by 5- and 6-year olds. The team report that they “test the moral barrier hypothesis, which posits that moral violations can be inhibited by the introduction of spatial boundaries, including ones that do not physically impede the act of transgressing. We found that both real and imagined barriers, when placed strategically [between children and a piece of paper with the answers to test questions on it], were able to reduce cheating among 5- to 6-y-olds. . . .

Portegijs and colleagues studied how neighborhood features influence the (self-reported) physical activity/mobility of older (79-94 year old) residents of a Finnish community. They asked study participants to indicate “destinations perceived to facilitate and barriers perceived to hinder outdoor mobility in their neighborhood. . . . analyses adjusted for age, sex, and physical performance showed that neighborhood destinations increased the odds for higher physical activity when located beyond 500 m from home . . . but not when located solely within 500 m . . .

Clouse’s team investigated the optimal design of spaces to be used by children with autism spectrum disorder (ASD).  They share that “Mostafa recommended seven design criteria known as ASPECTSS™: Acoustics, Spatial sequencing, Escape spaces, Compartmentalization, Transition spaces, Sensory zoning, and Safety, when designing for people with ASD. These classifications lay the groundwork for the established guidelines. . . . recommendations demonstrate that sensitivity to the needs of people with autism creates a solution that is better for all people.”