Introduction need is subjective and dependant on the

Introduction

The last decade has been filled with a sky rocketing
rise in the mode and use of electronic devices, such as video games, computers
and laptops, players and mostly smart phones. It is with this increased access
that these devices have become an important part of our everyday life. As such,
there has been an increasingly use of the same in the bedrooms, which has
resulted to negative effects on sleep.

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Investigating Sleep and
Use of Electronic Devices

I therefore investigated this case based on
a study conducted on 10,220 adolescents that were born between the years 1993
and 1995.The average age of the participants was 17 years, with the sample
being made up of 53.5 % of girls and 46.5% of boys, n=5252 and n=4594, respectively.
Due to inaccuracies in the data computation variables negative values such as
sleep duration and efficiency, the finally tally on the sample was 9875.

Use of electronic devices at bedtime

The study discovered that on average,
the participants used at least six types of electronic devices in the bedroom
before going to sleep. The devices that were used for the study included
personal computers, mobile phones, MP3players, television, tablets, and video
games.

Sleep variables

The sleep duration of the participants,
the time they went to sleep and the time they woke up were indicated, both for
the weekdays and the weekends. The Time in Bed (TIB) was a difference ofthe
time between getting in to bed, and rising up in the morning. The Sleep Onset
Latency (SOL) and the wake after sleep onset (WASO) were also variables in the calculation
of the sleep duration. Since sleep need is subjective and dependant on the individual
perceived need and duration for sleep. The sleep deficit was categorized
differently on the weekends and the weekdays .This was deduced by subtracting
the total sleep duration from the individual sleep needs of the participant.

Statistics

The data was calculated to realize
the gender differences that came with the electronic devices use at night.
There were also independent t-tests that determined the relationship between
sleep duration and the electronic device use. There were also logistic
regression analyses that used SOL that was more than 60 minutes and the resultant
sleep deficiency .From the correlation analysis conducted, it was realized that
there was reduced sleep duration as a result of using electric devices during
bed time. The outcome was identified to be between 8 to 9 hours. There was no
gender stratification in the logistic regressions that were calculated in the
process.

Results

In the figure below, it showed the rate of use of the
electronic devices before bed time between the two genders. A higher percentage
of the sample showed that they used their electronic devices at least an hour
before they went to sleep .However, there were variations between the two
genders with the boys using games more, while the girls used their MP3 players
and cell phones more. (p

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