Light exposure behaviors predict mood, memory and sleep quality

We used data from 301 participants for further processing. We used R (4.1.2v) and several
statistical packages, including esemComp, SEMinR and tabledown for our analysis.

The researchers surveyed 301 Malaysian adults and analyzed the survey data using R
software and several specialized statistical packages.

An extensive body of research suggests that the imbalance of light and dark exposure
disrupts our circadian system.
Subsequently, this disruption gives rise to a series of adverse consequences, including
decreased sleep quality, mood, and an alteration of sleeping habits.

The study was done because irregular light exposure can disturb the body’s internal
clock and negatively affect sleep and mood.

In contrast, the usage of mobile phones on the bed before sleeping (LEBA B3) directly
but negatively, influenced the four chronotype factors: PT (β = −0.22), morning affect
(MA; β = −0.12), RT (β = −0.25) and RI (β = −0.23) and predicted decreased perceived sleep
quality (PSQ; β = 0.13; a higher score indicated poor sleep quality). The increased use of
electric light during daytime (LEBA B5) positively influenced chronotype factors: PT (β =
0.15), MA (β = 0.14) and RT (β = 0.15) and increased perceived sleep quality (PSQ; β =
−0.16; a lower score indicated higher sleep quality).

The result shows that using phones at night lowered sleep quality, and more daytime
light exposure improved sleep quality.

These behaviors could have contributed to poor sleep quality and trouble in memory and
concentration. The results strengthened the need for a model to predict how light
exposure behaviors explain human cognition and sleep quality..

The study suggests that using phones in bed can worsen sleep and affect memory,
showing that light exposure habits are important for mental health.

Future research should use wearable light sensors to see whether these light exposure
patterns cause changes in sleep and mood over time.

I found it somewhat challenging to fully understand the structural equation modelling
used in the analysis