Diversity Time Zones
Diversity as a factor
Throughout the study a total of 14 people took part and measured their temperature. This allows for diversity of the time zones along with diversity of ages, all ranging from 16-61. Having a diverse age group and traveling time zone difference will allow for a more accurate outcome in regards to the data. When looking at the data before considering the outcomes one must look at the circumstances that face the participants. Results will also vary depending on the amount of time spent flying. The longer one spends flying, the more time zones are crossed over and the better chance of jetlag. Therefore by having a diverse group of participants flying across the world it allows for better testing of the hypothesis in order …show more content…
As the data extracted was taken from mostly people flying north to south it creates the limitation of not having enough data of more time zones that are crossed. When flying north to south a small difference in time zones of an hour or just over an hour will not be as effective as when crossing a time zone that adds seven or eight hours. The related data may have changed the overall results allowing for a better view of the effect of jetlag. The participants must be selected specifically for the process as trustful and knowing that the data taken will not be …show more content…
While on the flight some people took sleeping pills are were unable to measure the effects of the melatonin secretion during the flight which could have had an effect on the data as their would not be as many participants measurements taken. This goes along with the taking of measurements is completely relying on the participants to take accurate measurements at the right time. The timing of the measurements is crucial to the experiment being accurate. A solution to this problem is a rectal thermometer as it is kept on the body at all times. The rectal thermometer is pre set to record data at certain times of day and stores the data within a log. The thermometer is not then constantly relying on the people to take the measurement but does it automatically and accurately.
When looking at the results as a comparison to the normal (Figure 6) it is has shown that the normal temperature at wake up and at the end of the day in bed is the same but during the day the bodily temperature dropped by 0,1 degrees Celsius. This shows that the body’s melatonin levels are increased during the day, which is triggered at the wrong time due to
Throughout the study a total of 14 people took part and measured their temperature. This allows for diversity of the time zones along with diversity of ages, all ranging from 16-61. Having a diverse age group and traveling time zone difference will allow for a more accurate outcome in regards to the data. When looking at the data before considering the outcomes one must look at the circumstances that face the participants. Results will also vary depending on the amount of time spent flying. The longer one spends flying, the more time zones are crossed over and the better chance of jetlag. Therefore by having a diverse group of participants flying across the world it allows for better testing of the hypothesis in order …show more content…
As the data extracted was taken from mostly people flying north to south it creates the limitation of not having enough data of more time zones that are crossed. When flying north to south a small difference in time zones of an hour or just over an hour will not be as effective as when crossing a time zone that adds seven or eight hours. The related data may have changed the overall results allowing for a better view of the effect of jetlag. The participants must be selected specifically for the process as trustful and knowing that the data taken will not be …show more content…
While on the flight some people took sleeping pills are were unable to measure the effects of the melatonin secretion during the flight which could have had an effect on the data as their would not be as many participants measurements taken. This goes along with the taking of measurements is completely relying on the participants to take accurate measurements at the right time. The timing of the measurements is crucial to the experiment being accurate. A solution to this problem is a rectal thermometer as it is kept on the body at all times. The rectal thermometer is pre set to record data at certain times of day and stores the data within a log. The thermometer is not then constantly relying on the people to take the measurement but does it automatically and accurately.
When looking at the results as a comparison to the normal (Figure 6) it is has shown that the normal temperature at wake up and at the end of the day in bed is the same but during the day the bodily temperature dropped by 0,1 degrees Celsius. This shows that the body’s melatonin levels are increased during the day, which is triggered at the wrong time due to