energy drinks in pakistan

RESEARCH METHODS FINAL PROJECT

Awareness of Energy Drinks' Effects

Presented by:

Arslan Javaid 050804001Sana Tahir 050804022

Amber Dilshad 050804024

Presented to:

Mr. Manqoosh ul Rahman

Date of Presentation: 24th January '08

School of Business and Economics

University of Management and Technology

RESEARCH METHODS FINAL PROJECT

Awareness of Energy Drinks' Effects

"Being a final project report presented in part requirement for Research Methods Techniques in Bachelors of Business Information and Technology at the University of Management and Technology Lahore."

Presented by:

Arslan Javaid 050804001Sana Tahir 050804022

Amber Dilshad 050804024

Presented to:

Mr. Manqoosh ul Rahman

"We declare that this report is, in entirely our own work, that it has not previously been presented, in whole or part, for any other award, or published, in whole or part, elsewhere."

Arsalan Javaid

Sana Tahir

Acknowledgements

All the members would like to thank Mr. Manqoosh for his support and assistance in the preparation of this report and his helps assisted us to apply all of over analytical skills. We also thank the members of University of Management & Technology

EXECUTIVE SUMMARY

This project report is a part of the research conducted by the team member, which was created for the purpose of to analyze the awareness level of energy drinks and their side effects among the people.

This project report begins with an introduction and the background for which the research conducted. Then a brief introduction of the industry of energy drinks worldwide and in Pakistan. Statistical analysis of the gathered data and finding of this project is also part of this report. In the end team members tried to make some recommendation regarding the energy drinks, their side effects and awareness among the people.

In order to accomplish this task, initially proposal report had been generated. After this according to research methodology data was collected from the sample size. Direct meetings and questioners remained the main focus of this research. Whole data was then analyzed by the team members statistically and finally recommendations were made according to that analysis.

INTRODUCTION & BACKGROUND The project is about to analyze the awareness level among the young generation. Energy drink promises to energize the spirit, body and mind to release the latent energy within youngsters.

Due to the fast growing environment the trends are changing continuously and people are trying to follow the western culture rapidly. Use of energy drinks is also part of this culture. With the passage of time usage of energy drinks is increasing in Pakistan. Male and female both are using energy drinks now. Energy drinks got their own side effects as well. These circumstances motivated team members to study the awareness about and the side effects of energy drinks among the university people.

Team members conducted this research in order to come to know about the awareness of energy drinks among the people and also to check their awareness level. Energy drinks are soft drinks advertised as being specifically designed to provide energy. The amount of quantitative 'energy' (as measured in Calories) found in these drinks is often lower than that found in regular soft drinks and currently there is no scientific basis for concluding that the non-caffeine elements in these drinks contribute to either short-term mental alertness or physical performance.

Generally they include a combination of methylxanthines (including caffeine), B vitamins, and herbal ingredients. Other ingredients commonly include guarana (extracts from the guarana plant) or taurine plus various forms of ginseng, maltodextrin, inositol, carnitine, creatine, glucuronolactone and ginkgo biloba. Some contain high levels of sugar, while most brands also offer an artificially sweetened version. The central ingredient in most energy drinks is caffeine, the same stimulant found in coffee or tea, often in the form of guarana (as in Josta) or yerba mate.

The average 237 ml (8 fl. oz.) energy drink has about 80mg of caffeine, about the same amount as a weak cup of coffee, with 480 ml (16 fl. oz.) drinks containing around 150mg, although recent drinks have created a stir by containing as much as 300mg of caffeine. These drinks are typically marketed to young people, and people 'on the go.' Approximately 65% percent of energy drink users are under the age of 35 years old, with males representing approximately 65% of the market.

http://en.wikipedia.org/wiki/Caffeine

http://en.wikipedia.org/wiki/Yerba_mate

http://en.wikipedia.org/wiki/Josta

http://en.wikipedia.org/wiki/Guarana

http://en.wikipedia.org/wiki/Tea

http://en.wikipedia.org/wiki/Coffee


http://en.wikipedia.org/wiki/Ginkgo_biloba

http://en.wikipedia.org/wiki/Glucuronolactone

http://en.wikipedia.org/wiki/Creatine

http://en.wikipedia.org/wiki/Carnitine

http://en.wikipedia.org/wiki/Inositol

http://en.wikipedia.org/wiki/Maltodextrin

http://en.wikipedia.org/wiki/Ginseng

http://en.wikipedia.org/wiki/Taurine

http://en.wikipedia.org/wiki/Guarana

http://en.wikipedia.org/wiki/Herb

http://en.wikipedia.org/wiki/Vitamin_B

http://en.wikipedia.org/wiki/Vitamin_B


http://en.wikipedia.org/wiki/Methylxanthine

http://en.wikipedia.org/wiki/Calorie

http://en.wikipedia.org/wiki/Energy

http://en.wikipedia.org/wiki/Soft_drink

Industry Overview

Energy drinks are beverages which contain legal stimulants, vitamins, and minerals, including caffeine, guarana, and taurine, various forms of ginseng, maltodextrin, carnitine, creatine, and ginkgo biloba. Some may contain high levels of sugar or glucose.

It may well have come from Scotland in the form of Irn-Bru, first produced in the form of "Iron Brew" in 1901. In Japan, the energy drink phenomenon dates at least as far back as the early 1960s, with the release of the Lipovitan. Most such products in Japan bear little resemblance to soft drinks, and are sold instead in small brown glass medicine bottles or cans styled to resemble such containers. These "genki drinks", which are also produced in South Korea, are marketed primarily to the salaryman set, to help them work long hours, or to stay awake on the late commute home.

In UK, Lucozade Energy was originally introduced in 1929 as a hospital drink for "aiding the recovery;" in the early 1980s, it was promoted as an energy drink for "replenishing lost energy."

In 1995, PepsiCo launched Josta, the first energy drink introduced by a major US beverage company.

In Europe, energy drinks were pioneered by Dietrich Mateschitz, an Austrian entrepreneur who developed Red Bull based on the Thai drink Krating Daeng, itself based on Lipovitan. Red Bull was introduced to the US in 1997 and is the dominant brand there, with a market share of approximately 47%.

By the year 2001, the US energy drink market had grown to nearly 8 million per year in retail sales. Over the last 5 years, it grew an average of over 50% per year, totaling over $3 billion in 2005. Diet energy drinks are growing at nearly twice that rate within the category, as are 16-ounce sized energy drinks. It is estimated to hit nearly 4 billion in 2006, and both Goldman Sachs and Mintel predict that the energy drink market will hit $10 billion by 2010. Major players such as Pepsi, Coca-Cola, Molson, and Labatt have tried to match the small companies' innovative and different approach, with marginal success.

Energy drinks have also become popular as mixers. Many malt beverages such as Sparks, 3sum malt beverage and Max capitalize on the effects of caffeine while drinking alcohol.

Major Players

Because of the growing craze over energy drinks, the number of energy drink brands has been increasing steadily as everyone wants to take advantage of the expanding market. The demand for energy drinks could be a direct result of people’s lives becoming busier. As people fill their lives to capacity and then add even more responsibilities, the daily schedules can become quite overwhelming, leaving little time for rest, relaxation, or sleep.

All of this activity causes stress and fatigue, but there is no time to stop for a moment and recharge the batteries. As a result, people often turn to stimulants to keep them going throughout the day and give them the energy they need to complete everything they need to do. Energy drinks are one of the more popular “stimulants” because they are quick and easy, and most have few recognizable negative side effects.

The number of energy drink brands is actually much greater than people realize. RedBull has been the dominant brand for many years, probably because it was one of the first energy drinks developed. Word of mouth has been a big part of RedBull’s advertising, and as a result, many of the other options have been hidden in RedBull’s shadow.

Although there are many similarities between all the different energy drink brands, there are obviously some differences. The primary difference that distinguishes many energy drinks is the ingredient list. All energy drinks must contain something that results in an increase of energy, but there are various ways to achieve this effect. All of the energy drink brands experiment with their own unique mixture of ingredients, adding higher concentrations of some and lower concentrations of others.

In Pakistan with the increasing trends of using energy drinks number of brands available are increasing. Generally, there is no manufacturer here. There are distributors who import these ready to drink around the world. Main market to import energy drinks is UAE, from there importers import in bulk and then distribute in their target areas. OZO Switzerland is a beverage company with the most extensive distribution system in the world. To distribute their product in Pakistan they have granted the rights to Ghani Group of Industries. Who recently have soft launched the product in Lahore market as OZO energy drink can be found in cafeterias at colleges and universities. This is the only brand that distributors import it directly from the manufacturer and they make its packaging accordingly then.

The majority of the sales are coming from urban areas where people have greater purchasing power and awareness of such drinks. Sales of energy drinks are limited in rural areas although they are growing. Around 66% of the Pakistani population resides in rural areas, but most do not buy energy drinks as they are too expensive.

PROBLEM STATEMENT: To analyze the awareness level of energy drinks among people of University of Management & Technology.

RESEARCH QUESTION:

What is the level of awareness among people about energy drink?

RESEARCH OBJECTIVES:

What kind of drinks student usually drink?

What are the different energy drink companies in the market?

Which brand they prefer in energy drinks.

What is the level of awareness about energy drinks?

Who drink more male or female?

Why do people take energy drink?

Any side effect due to use of energy drink?

What is the level of awareness regarding ingredients of energy drinks?

Who are more aware students or professionals?

What age group is more aware about side effects of energy drinks?

RESEARCH VARIABLES

The variables of the research will be:

Different types of soft drinks and energy drinks.

Students’ awareness about energy drinks.

Students’ awareness about available brands.

Students’ awareness about ingredients of the different brands

Students' awareness about side effects of caffeine.

Students' awareness about side effects of gurana.

Students' awareness about side effects of taurine.

Students' awareness about side effects of ginseng.

Students' awareness about side effects of artificial sweeteners.

Students' awareness about side effects of access use of vitamins.

Students' awareness about abnormalities cause by energy drinks.

Age dominance in awareness level

Gender dominance in awareness level

Occupation dominance in awareness level

RESEARCH METHODOLOGY:

Data & Data Collection:The data will be collected through primary sources by surveying UMT campus & secondary data from the internet.

Measurement Methods:

Sampling Plan:

Population: People of University of Management & Technology

Sampling Unit:The sample unit consists of students & professionals

Sample Size:A sample of 100 people in UMT will be drawn. Sampling Method:Convenience sampling will be used for drawn sample.

COST SCHEDULE:

The forecasted costs which will be incurred in the completion of this project are given below:

ACTIVITY ESTIMATED EXPENDITURE (Rs.)

Questionnaire Development 600Traveling Expenses 1,000Refreshments 1,000Report Printing 1,500Miscellaneous 1,000

TIME SCHEDULE:

The time schedule chart will describe how the whole project will be completed.

Value

Effects

e1 Caffeine is a major source of sleep disturbancee2 Panic attacks are caused by heavy doze of caffeinee3 Gurana, a herb used in energy drinks, causes blood pressure disordere4 Stomach disturbance is basically caused by taurine, a chemical in energy drinkse5 Various form of ginseng increase urine productione6 Energy drinks are good for pregnant womene7 Gurana triggers a heart attack in heart patientse8 Regular use of energy drinks may increase risk of spontaneous abortione9 Energy drinks dehydrate the human bodye10 Energy drinks let you recover from bowel irritabilitye11 Increasing nervousness is one of the side effectse12 Normally, energy drinks are harmless for diabetic patients e13 Artificial sweetener & vitamins reduce head ace e14 Vomiting is caused by artificial sweetener & vitamins e15 Excess use of vitamins shivers the bodye16 Energy drinks can not manifest as an alteration in mental statee17 Energy drinks increases the abnormal growth of body cells e18 Colonic movements are caused by energy drinkse19 Caffeine cause a temporary abnormal

electrical activity of brain cellse20 High doze of sugar & caffeine results in a common chronic neurological disorder

Variable Tables

Awareness level of male & female about e1

Frequencies

Caffeine is a major source of sleep disturbance

67 67.0 67.0 67.0

33 33.0 33.0 100.0

100 100.0 100.0

Aware

Not Aware

Total

ValidFrequency Percent Valid Percent

CumulativePercent

Cross tabs

What is your gender * Caffeine is a major source of sleepdisturbance Crosstabulation

Count

49 15 64

18 18 36

67 33 100

Male

Female

What is yourgender

Total

Aware Not Aware

Caffeine is a majorsource of sleep

disturbance

Total

1 = Aware2 = Not Aware

1 = male2 = female

Independent sample T-test

Ho: µ1 - µ2 = 0H1: µ1 - µ2 ≠ 0

µ1: Average awareness level of males regard e1.µ2: Average awareness level of females regard e1

Group Statistics

64 1.23 .427 .053

36 1.50 .507 .085

What is your genderMale

Female

Caffeine is amajor source ofsleep disturbance

N Mean Std. DeviationStd. Error

Mean

Independent Samples Test

13.872 .000 -2.789 98 .006 -.266 .095 -.455 -.077

-2.657 62.920 .010 -.266 .100 -.465 -.066

Equal variancesassumed

Equal variancesnot assumed


F Sig.

Levene's Test forEquality of Variances

t df Sig. (2-tailed)Mean

DifferenceStd. ErrorDifference Lower Upper

95% ConfidenceInterval of the

Difference

t-test for Equality of Means

As, P =< 0.05

So, we reject Ho

Average awareness level of males and females regarding e1 is not equal

Regression for one independent variable

Coefficientsa

.969 .137 7.052 .000

.266 .095 .271 2.789 .006

(Constant)

What is your gender

Model1

B Std. Error

UnstandardizedCoefficients

Beta

StandardizedCoefficients

t Sig.

Dependent Variable: Caffeine is a major source of sleep disturbancea.

Ho: β = 0 (no relation)H1: β ≠ 0 (relation exit)

As, P > 0.05

So, we fail to reject Ho

Y = α + β (X)

Awareness level of e1 = 0.969 + 0.266 (gender)

As the value of β is positive this means that every 0.266 increases or decrease will change the unit of awareness respectively.


Frequencies

Panic attacks are caused by heavy doze of caffeine

56 56.0 56.0 56.0

44 44.0 44.0 100.0

100 100.0 100.0

Aware

Not Aware

Total


CumulativePercent

Cross tabs

What is your gender * Panic attacks are caused by heavydoze of caffeine Crosstabulation

Count

40 24 64

16 20 36

56 44 100

Male

Female

What is yourgender

Total

Aware Not Aware

Panic attacks arecaused by heavy doze

of caffeine

Total



Ho: µ1 - µ2 = 0H1: µ1 - µ2 ≠ 0

µ1: Average awareness level of males regard panic attacks are caused by heavy doze of caffeine.µ2: Average awareness level of males regard panic attacks are caused by heavy doze of caffeine.

Group Statistics

64 1.38 .488 .061

36 1.56 .504 .084


Female

Panic attacks are causedby heavy doze of caffeine


Mean


1.356 .247 -1.755 98 .082 -.181 .103 -.385 .024

-1.739 70.721 .086 -.181 .104 -.388 .026




F Sig.





Difference


As, P > 0.05



Coefficientsa

1.194 .148 8.052 .000

.181 .103 .175 1.755 .082

(Constant)

What is your gender

Model1

B Std. Error


Beta


t Sig.

Dependent Variable: Panic attacks are caused by heavy doze of caffeinea.

Ho: β = 0H1: β ≠ 0

As, P > 0.05


Y = α + β (X)




Frequencies

Gurana, a herb used in energy drinks, causes blood pressure disorder

36 36.0 36.0 36.0

64 64.0 64.0 100.0

100 100.0 100.0

Aware

Not Aware

Total


CumulativePercent

Cross tabs

What is your gender * Gurana, a herb used in energy drinks,causes blood pressure disorder Crosstabulation

Count

26 38 64

10 26 36

36 64 100

Male

Female

What is yourgender

Total

Aware Not Aware

Gurana, a herb used inenergy drinks, causes

blood pressuredisorder

Total



Ho: µ1 - µ2 = 0H1: µ1 - µ2 ≠ 0

µ1: Average awareness level of males regard e3µ2: Average awareness level of males regard e3

Group Statistics

64 1.59 .495 .062

36 1.72 .454 .076


Female

Gurana, a herb used inenergy drinks, causesblood pressure disorder


Mean


7.557 .007 -1.282 98 .203 -.128 .100 -.327 .070

-1.314 78.032 .193 -.128 .098 -.323 .066




F Sig.





Difference


As, P > 0.05

So, we final to reject Ho


Coefficientsa

1.465 .144 10.142 .000

.128 .100 .128 1.282 .203

(Constant)

What is your gender

Model1

B Std. Error


Beta


t Sig.

Dependent Variable: Gurana, a herb used in energy drinks, causes blood pressure disordera.

Ho: β = 0H1: β ≠ 0As, P > 0.05So, we fail to reject Ho

Y = α + β (X)




Frequencies

Stomach disturbance is basically caused by taurine, a chemical in energydrinks

35 35.0 35.0 35.0

65 65.0 65.0 100.0

100 100.0 100.0

Aware

Not Aware

Total


CumulativePercent

Cross tabs

What is your gender * Stomach disturbance is basicallycaused by taurine, a chemical in energy drinks

Crosstabulation

Count

22 42 64

13 23 36

35 65 100

Male

Female

What is yourgender

Total

Aware Not Aware

Stomach disturbanceis basically caused bytaurine, a chemical in

energy drinks

Total



Ho: µ1 - µ2 = 0H1: µ1 - µ2 ≠ 0

µ1: Average awareness level of males regard e4µ2: Average awareness level of males regard e4

Group Statistics

64 1.66 .479 .060

36 1.64 .487 .081


Female

Stomach disturbanceis basically caused bytaurine, a chemical inenergy drinks


Mean


.116 .735 .173 98 .863 .017 .100 -.182 .217

.172 71.613 .864 .017 .101 -.184 .218




F Sig.





Difference


As, P > 0.05

So, we final to reject Ho


Coefficientsa

1.674 .145 11.563 .000

-.017 .100 -.017 -.173 .863

(Constant)

What is your gender

Model1

B Std. Error


Beta


t Sig.

Dependent Variable: Stomach disturbance is basically caused by taurine, a chemical inenergy drinks

a.

Ho: β = 0H1: β ≠ 0

As, P > 0.05


Y = α + β (X)

Awareness level regarding e4 = 1.674 -0.017 (gender)

As the value of β is negative this means that every 0.017 increase will decrease the unit of awareness level regarding e4 and vice versa.


Frequencies

Various form of ginseng increase urine production

33 33.0 33.0 33.0

67 67.0 67.0 100.0

100 100.0 100.0

Aware

Not Aware

Total


CumulativePercent

Cross tabs

What is your gender * Various form of ginseng increase urineproduction Crosstabulation

Count

23 41 64

10 26 36

33 67 100

Male

Female

What is yourgender

Total

Aware Not Aware

Various form ofginseng increase urine

production

Total


1 = male2 = female


Ho: µ1 - µ2 = 0H1: µ1 - µ2 ≠ 0

µ1: Average awareness level of males regarding e5.µ2: Average awareness level of females regarding e5

Group Statistics

64 1.64 .484 .060

36 1.72 .454 .076


Female

Various form of ginsengincrease urine production


Mean


3.054 .084 -.827 98 .410 -.082 .099 -.277 .114

-.842 76.565 .402 -.082 .097 -.275 .111




F Sig.





Difference


As, P > 0.05


Average awareness level of males and females regarding e5 may be equal


Coefficientsa

1.559 .142 10.962 .000

.082 .099 .083 .827 .410

(Constant)

What is your gender

Model1

B Std. Error


Beta


t Sig.

Dependent Variable: Various form of ginseng increase urine productiona.


As, P > 0.05So, we fail to reject Ho

Y = α + β (X)




Frequencies

Energy drinks are good for pregnant women

38 38.0 38.0 38.0

62 62.0 62.0 100.0

100 100.0 100.0

Aware

Not Aware

Total


CumulativePercent

Cross tabs

What is your gender * Energy drinks are good for pregnantwomen Crosstabulation

Count

22 42 64

16 20 36

38 62 100

Male

Female

What is yourgender

Total

Aware Not Aware

Energy drinks are goodfor pregnant women

Total


1 = male2 = female


Ho: µ1 - µ2 = 0H1: µ1 - µ2 ≠ 0


Group Statistics

64 1.66 .479 .060

36 1.56 .504 .084


Female



Mean


2.703 .103 .991 98 .324 .101 .102 -.101 .302

.976 69.587 .332 .101 .103 -.105 .306




F Sig.





Difference


As, P > 0.05




Coefficientsa

1.757 .147 11.986 .000

-.101 .102 -.100 -.991 .324

(Constant)

What is your gender

Model1

B Std. Error


Beta


t Sig.

Dependent Variable: Energy drinks are good for pregnant womena.


As, P > 0.05


Y = α + β (X)

Awareness level of e6 = 1.757 – 0.101 (gender)



Frequencies

Gurana triggers a heart attack in heart patients

30 30.0 30.0 30.0

70 70.0 70.0 100.0

100 100.0 100.0

Aware

Not Aware

Total


CumulativePercent

Cross tabs

What is your gender * Gurana triggers a heart attack in heartpatients Crosstabulation

Count

21 43 64

9 27 36

30 70 100

Male

Female

What is yourgender

Total

Aware Not Aware

Gurana triggers a heartattack in heart patients

Total


1 = male2 = female


Ho: µ1 - µ2 = 0H1: µ1 - µ2 ≠ 0


Group Statistics

64 1.67 .473 .059

36 1.75 .439 .073


Female



Mean


2.925 .090 -.813 98 .418 -.078 .096 -.269 .113

-.830 77.328 .409 -.078 .094 -.266 .109




F Sig.





Difference


As, P > 0.05




Coefficientsa

1.594 .139 11.497 .000

.078 .096 .082 .813 .418

(Constant)

What is your gender

Model1

B Std. Error


Beta


t Sig.

Dependent Variable: Gurana triggers a heart attack in heart patientsa.


As, P > 0.05


Y = α + β (X)

Awareness level of e7 = 1.594 + 0.078(gender)



Frequencies

Regular use of energy drinks may increase risk of spontaneous abortion

38 38.0 38.0 38.0

62 62.0 62.0 100.0

100 100.0 100.0

Aware

Not Aware

Total


CumulativePercent

Cross tabs

What is your gender * Regular use of energy drinks mayincrease risk of spontaneous abortion Crosstabulation

Count

25 39 64

13 23 36

38 62 100

Male

Female

What is yourgender

Total

Aware Not Aware

Regular use of energydrinks may increaserisk of spontaneous

abortion

Total


1 = male2 = female


Ho: µ1 - µ2 = 0H1: µ1 - µ2 ≠ 0


Group Statistics

64 1.61 .492 .061

36 1.64 .487 .081


Female

Regular use of energydrinks may increase riskof spontaneous abortion


Mean


.354 .553 -.289 98 .773 -.030 .102 -.232 .173

-.290 73.253 .773 -.030 .102 -.232 .173




F Sig.





Difference


As, P > 0.05




Coefficientsa

1.580 .147 10.728 .000

.030 .102 .029 .289 .773

(Constant)

What is your gender

Model1

B Std. Error


Beta


t Sig.

Dependent Variable: Regular use of energy drinks may increase risk of spontaneousabortion

a.



Y = α + β (X)




Frequencies

Energy drinks dehydrate the human body

32 32.0 32.0 32.0

68 68.0 68.0 100.0

100 100.0 100.0

Aware

Not Aware

Total


CumulativePercent

Cross tabs

What is your gender * Energy drinks dehydrate the humanbody Crosstabulation

Count

22 42 64

10 26 36

32 68 100

Male

Female

What is yourgender

Total

Aware Not Aware

Energy drinksdehydrate the human

body

Total


1 = male2 = female


Ho: µ1 - µ2 = 0H1: µ1 - µ2 ≠ 0


Group Statistics

64 1.66 .479 .060

36 1.72 .454 .076


Female

Energy drinks dehydratethe human body


Mean


1.985 .162 -.674 98 .502 -.066 .098 -.260 .128

-.684 75.926 .496 -.066 .097 -.258 .126




F Sig.





Difference


As, P > 0.05




Coefficientsa

1.590 .141 11.258 .000

.066 .098 .068 .674 .502

(Constant)

What is your gender

Model1

B Std. Error


Beta


t Sig.

Dependent Variable: Energy drinks dehydrate the human bodya.


As, P > 0.05


Y = α + β (X)




Frequencies

Energy drinks let you recover from bowel irritability

13 13.0 13.0 13.0

87 87.0 87.0 100.0

100 100.0 100.0

Aware

Not Aware

Total


CumulativePercent

Cross tabs

What is your gender * Energy drinks let you recover frombowel irritability Crosstabulation

Count

9 55 64

4 32 36

13 87 100

Male

Female

What is yourgender

Total

Aware Not Aware

Energy drinks let yourecover from bowel

irritability

Total


1 = male2 = female


Ho: µ1 - µ2 = 0H1: µ1 - µ2 ≠ 0


Group Statistics

64 1.86 .350 .044

36 1.89 .319 .053


Female

Energy drinks letyou recover frombowel irritability


Mean


.717 .399 -.417 98 .677 -.030 .071 -.170 .111

-.429 78.584 .669 -.030 .069 -.167 .108




F Sig.





Difference


As, P > 0.05




Coefficientsa

1.830 .102 17.943 .000

.030 .071 .042 .417 .677

(Constant)

What is your gender

Model1

B Std. Error


Beta


t Sig.

Dependent Variable: Energy drinks let you recover from bowel irritabilitya.


As, P > 0.05


Y = α + β (X)




Frequencies

Increasing nervousness is one of the side effects

32 32.0 32.0 32.0

68 68.0 68.0 100.0

100 100.0 100.0

Aware

Not Aware

Total


CumulativePercent

Cross tabs

What is your gender * Increasing nervousness is one of theside effects Crosstabulation

Count

19 45 64

13 23 36

32 68 100

Male

Female

What is yourgender

Total

Aware Not Aware

Increasingnervousness is one of

the side effects

Total


1 = male2 = female


Ho: µ1 - µ2 = 0H1: µ1 - µ2 ≠ 0


Group Statistics

64 1.70 .460 .058

36 1.64 .487 .081


Female

Increasing nervousnessis one of the side effects


Mean


1.532 .219 .656 98 .514 .064 .098 -.130 .259

.645 69.301 .521 .064 .100 -.134 .263




F Sig.





Difference


As, P > 0.05




Coefficientsa

1.767 .141 12.510 .000

-.064 .098 -.066 -.656 .514

(Constant)

What is your gender

Model1

B Std. Error


Beta


t Sig.

Dependent Variable: Increasing nervousness is one of the side effectsa.


As, P > 0.05


Y = α + β (X)

Awareness level of e11 = 1.767 - 0.064(gender)



Frequencies

Normally, energy drinks are harmless for diabetic patients

32 32.0 32.0 32.0

68 68.0 68.0 100.0

100 100.0 100.0

Aware

Not Aware

Total


CumulativePercent

Cross tabs

What is your gender * Normally, energy drinks are harmlessfor diabetic patients Crosstabulation

Count

25 39 64

7 29 36

32 68 100

Male

Female

What is yourgender

Total

Aware Not Aware

Normally, energy drinksare harmless fordiabetic patients

Total


1 = male2 = female


Ho: µ1 - µ2 = 0H1: µ1 - µ2 ≠ 0


Group Statistics

64 1.61 .492 .061

36 1.81 .401 .067


Female

Normally, energydrinks are harmlessfor diabetic patients


Mean


21.110 .000 -2.040 98 .044 -.196 .096 -.387 -.005

-2.159 85.277 .034 -.196 .091 -.377 -.016




F Sig.





Difference


As, P < 0.05

So, we reject Ho

Average awareness level of males and females regarding e12 is not equal


Coefficientsa

1.413 .139 10.191 .000

.196 .096 .202 2.040 .044

(Constant)

What is your gender

Model1

B Std. Error


Beta


t Sig.

Dependent Variable: Normally, energy drinks are harmless for diabetic patientsa.


As, P < 0.05

So, we reject Ho

Y = α + β (X)




Frequencies

Artificial sweetener & vitamins reduce head ace

33 33.0 33.0 33.0

67 67.0 67.0 100.0

100 100.0 100.0

Aware

Not Aware

Total


CumulativePercent

Cross tabs

What is your gender * Artificial sweetener & vitamins reducehead ace Crosstabulation

Count

19 45 64

14 22 36

33 67 100

Male

Female

What is yourgender

Total

Aware Not Aware

Artificial sweetener &vitamins reduce head

ace

Total


1 = male2 = female


Ho: µ1 - µ2 = 0H1: µ1 - µ2 ≠ 0


Group Statistics

64 1.70 .460 .058

36 1.61 .494 .082


Female

Artificial sweetener &vitamins reduce head ace


Mean


2.874 .093 .934 98 .353 .092 .099 -.103 .288

.915 68.438 .363 .092 .101 -.109 .293




F Sig.





Difference


As, P > 0.05




Coefficientsa

1.795 .142 12.634 .000

-.092 .099 -.094 -.934 .353

(Constant)

What is your gender

Model1

B Std. Error


Beta


t Sig.

Dependent Variable: Artificial sweetener & vitamins reduce head acea.


As, P > 0.05


Y = α + β (X)




Frequencies

Vomiting is caused by artificial sweetener & vitamins

31 31.0 31.0 31.0

69 69.0 69.0 100.0

100 100.0 100.0

Aware

Not Aware

Total


CumulativePercent

Cross tabs

What is your gender * Vomiting is caused by artificialsweetener & vitamins Crosstabulation

Count

21 43 64

10 26 36

31 69 100

Male

Female

What is yourgender

Total

Aware Not Aware

Vomiting is caused byartificial sweetener &

vitamins

Total


1 = male2 = female


Ho: µ1 - µ2 = 0H1: µ1 - µ2 ≠ 0


Group Statistics

64 1.67 .473 .059

36 1.72 .454 .076


Female

Vomiting is caused byartificial sweetener &vitamins


Mean


1.149 .286 -.518 98 .606 -.050 .097 -.243 .143

-.524 75.207 .602 -.050 .096 -.242 .141




F Sig.





Difference


As, P > 0.05




Coefficientsa

1.622 .140 11.567 .000

.050 .097 .052 .518 .606

(Constant)

What is your gender

Model1

B Std. Error


Beta


t Sig.

Dependent Variable: Vomiting is caused by artificial sweetener & vitaminsa.


As, P > 0.05


Y = α + β (X)




Frequencies

Excess use of vitamins shivers the body

37 37.0 37.0 37.0

63 63.0 63.0 100.0

100 100.0 100.0

Aware

Not Aware

Total


CumulativePercent

Cross tabs

What is your gender * Excess use of vitamins shivers thebody Crosstabulation

Count

25 39 64

12 24 36

37 63 100

Male

Female

What is yourgender

Total

Aware Not Aware

Excess use of vitaminsshivers the body

Total


1 = male2 = female


Ho: µ1 - µ2 = 0H1: µ1 - µ2 ≠ 0


Group Statistics

64 1.61 .492 .061

36 1.67 .478 .080


Female



Mean


1.396 .240 -.565 98 .574 -.057 .101 -.259 .144

-.569 74.411 .571 -.057 .101 -.258 .143




F Sig.





Difference


As, P > 0.05




Coefficientsa

1.552 .146 10.609 .000

.057 .101 .057 .565 .574

(Constant)

What is your gender

Model1

B Std. Error


Beta


t Sig.

Dependent Variable: Excess use of vitamins shivers the bodya.


As, P > 0.05


Y = α + β (X)




Frequencies

Energy drinks can not manifest as an alteration in mental state

26 26.0 26.0 26.0

74 74.0 74.0 100.0

100 100.0 100.0

Aware

Not Aware

Total


CumulativePercent

Cross tabs

What is your gender * Energy drinks can not manifest as analteration in mental state Crosstabulation

Count

15 49 64

11 25 36

26 74 100

Male

Female

What is yourgender

Total

Aware Not Aware

Energy drinks can notmanifest as an

alteration in mentalstate

Total


1 = male2 = female


Ho: µ1 - µ2 = 0H1: µ1 - µ2 ≠ 0

µ1: Average awareness level of males regarding e16µ2: Average awareness level of females regarding e16

Group Statistics

64 1.77 .427 .053

36 1.69 .467 .078


Female

Energy drinks can notmanifest as an alterationin mental state


Mean


2.203 .141 .773 98 .441 .071 .092 -.111 .254

.754 67.353 .453 .071 .094 -.117 .260




F Sig.





Difference


As, P > 0.05




Coefficientsa

1.837 .133 13.839 .000

-.071 .092 -.078 -.773 .441

(Constant)

What is your gender

Model1

B Std. Error


Beta


t Sig.

Dependent Variable: Energy drinks can not manifest as an alteration in mental statea.


As, P > 0.05


Y = α + β (X)




Frequencies

Energy drinks increases the abnormal growth of body cells

29 29.0 29.0 29.0

71 71.0 71.0 100.0

100 100.0 100.0

Aware

Not Aware

Total


CumulativePercent

Cross tabs

What is your gender * Energy drinks increases the abnormalgrowth of body cells Crosstabulation

Count

19 45 64

10 26 36

29 71 100

Male

Female

What is yourgender

Total

Aware Not Aware

Energy drinksincreases the

abnormal growth ofbody cells

Total


1 = male2 = female


Ho: µ1 - µ2 = 0H1: µ1 - µ2 ≠ 0


Group Statistics

64 1.70 .460 .058

36 1.72 .454 .076


Female

Energy drinksincreases the abnormalgrowth of body cells


Mean


.164 .686 -.200 98 .842 -.019 .095 -.209 .170

-.201 73.512 .841 -.019 .095 -.209 .170




F Sig.





Difference


As, P > 0.05




Coefficientsa

1.684 .138 12.230 .000

.019 .095 .020 .200 .842

(Constant)

What is your gender

Model1

B Std. Error


Beta


t Sig.

Dependent Variable: Energy drinks increases the abnormal growth of body cellsa.


As, P > 0.05


Y = α + β (X)

Awareness level of e17 = 1.684 +0.091(gender)



Frequencies

Colonic movements are caused by energy drinks

31 31.0 31.0 31.0

69 69.0 69.0 100.0

100 100.0 100.0

Aware

Not Aware

Total


CumulativePercent

Cross tabs

What is your gender * Colonic movements are caused byenergy drinks Crosstabulation

Count

26 38 64

5 31 36

31 69 100

Male

Female

What is yourgender

Total

Aware Not Aware

Colonic movementsare caused by energy

drinks

Total


1 = male2 = female


Ho: µ1 - µ2 = 0H1: µ1 - µ2 ≠ 0


Group Statistics

64 1.59 .495 .062

36 1.86 .351 .058


Female

Colonic movements arecaused by energy drinks


Mean


47.901 .000 -2.859 98 .005 -.267 .094 -.453 -.082

-3.141 92.710 .002 -.267 .085 -.436 -.098




F Sig.





Difference


As, P < 0.05

So, we reject Ho

Average awareness level of males and females regarding e18 may not be equal


Coefficientsa

1.326 .135 9.835 .000

.267 .094 .277 2.859 .005

(Constant)

What is your gender

Model1

B Std. Error


Beta


t Sig.

Dependent Variable: Colonic movements are caused by energy drinksa.


As, P <0.05

So, we reject Ho

Y = α + β (X)

Awareness level of e18= 1.326 +0.267(gender)

As the value of β is positive this means that every 0.267increases or decrease will change the unit of awareness respectively.


Frequencies

Caffeine cause a temporary abnormal

50 50.0 50.0 50.0

50 50.0 50.0 100.0

100 100.0 100.0

Aware

Not Aware

Total


CumulativePercent

Cross tabs

What is your gender * Caffeine cause a temporary abnormal Crosstabulation

Count

27 37 64

23 13 36

50 50 100

Male

Female

What is yourgender

Total

Aware Not Aware

Caffeine cause atemporary abnormal

Total


1 = male2 = female


Ho: µ1 - µ2 = 0H1: µ1 - µ2 ≠ 0


Group Statistics

64 1.58 .498 .062

36 1.36 .487 .081


Female



Mean


1.537 .218 2.109 98 .038 .217 .103 .013 .421

2.122 74.003 .037 .217 .102 .013 .421




F Sig.





Difference


As, P < 0.05

So, we reject Ho

Average awareness level of males and females regarding e19 may not be equal


Coefficientsa

1.795 .148 12.094 .000

-.217 .103 -.208 -2.109 .038

(Constant)

What is your gender

Model1

B Std. Error


Beta


t Sig.

Dependent Variable: Caffeine cause a temporary abnormala.


As, P <0.05

So, we reject Ho

Y = α + β (X)Awareness level of e19 = 1.795 -0.217(gender)



Frequencies

High doze of sugar & caffeine results in a common chronic neurologicaldisorder

46 46.0 46.0 46.0

54 54.0 54.0 100.0

100 100.0 100.0

Aware

Not Aware

Total


CumulativePercent

Cross tabs

What is your gender * High doze of sugar & caffeine results ina common chronic neurological disorder Crosstabulation

Count

28 36 64

18 18 36

46 54 100

Male

Female

What is yourgender

Total

Aware Not Aware

High doze of sugar &caffeine results in a

common chronicneurological disorder

Total


1 = male2 = female


Ho: µ1 - µ2 = 0H1: µ1 - µ2 ≠ 0


Group Statistics

64 1.56 .500 .063

36 1.50 .507 .085


Female

High doze of sugar &caffeine results in acommon chronicneurological disorder


Mean


.560 .456 .597 98 .552 .063 .105 -.145 .270

.595 71.816 .554 .063 .105 -.147 .272




F Sig.





Difference


As, P >0.05So, we reject Ho

Average awareness level of males and females regarding e20 may equal


Coefficientsa

1.625 .151 10.762 .000

-.063 .105 -.060 -.597 .552

(Constant)

What is your gender

Model1

B Std. Error


Beta


t Sig.

Dependent Variable: High doze of sugar & caffeine results in a common chronicneurological disorder

a.


As, P >0.05


Y = α + β (X)

Awareness level of e20 = 1.625-0.063(gender)

As the value of β is negative this means that every 0.063increase will decrease the unit of awareness level regarding e4 and vice versa.

Awareness level of Teenagers & Adults about e1

Cross tabs

What is your age * Caffeine is a major source of sleepdisturbance Crosstabulation

Count

16 9 25

51 24 75

67 33 100

Teenagers

Adults

What is yourage

Total

Aware Not Aware


disturbance

Total


1 = teenagers2 = adults


Ho: µ1 - µ2 = 0H1: µ1 - µ2 ≠ 0

µ1: Average awareness level of teenagers regarding e1.µ2: Average awareness level of adults regarding e1.

Group Statistics

25 1.36 .490 .098

75 1.32 .470 .054

What is your ageTeenagers

Adults



Mean


.469 .495 .365 98 .716 .040 .110 -.178 .258

.357 39.745 .723 .040 .112 -.186 .266




F Sig.





Difference


As, P > 0.05


Average awareness level of teenagers and adults regarding e1 may be equal


Coefficientsa

1.400 .198 7.084 .000

-.040 .110 -.037 -.365 .716

(Constant)

What is your age

Model1

B Std. Error


Beta


t Sig.



As, P > 0.05


Y = α + β (X)

Awareness level of caffeine as a sleep disturbance = 1.400 - 0.040 (age)



Cross tabs

What is your age * Panic attacks are caused by heavy doze ofcaffeine Crosstabulation

Count

11 14 25

45 30 75

56 44 100

Teenagers

Adults

What is yourage

Total

Aware Not Aware


of caffeine

Total




Ho: µ1 - µ2 = 0H1: µ1 - µ2 ≠ 0

µ1: Average awareness level of teenagers regarding e2.µ2: Average awareness level of adults regarding e2

Group Statistics

25 1.56 .507 .101

75 1.40 .493 .057


Adults



Mean


.372 .543 1.395 98 .166 .160 .115 -.068 .388

1.377 40.255 .176 .160 .116 -.075 .395




F Sig.





Difference


As, P > 0.05So, we fail to reject Ho Average awareness level of teenagers and adults regarding e2 may be equal


Coefficientsa

1.720 .207 8.321 .000

-.160 .115 -.140 -1.395 .166

(Constant)

What is your age

Model1

B Std. Error


Beta


t Sig.



As, P > 0.05


Y = α + β (X)

Awareness level of e2 = 1.720 - 0.160 (age)



Cross tabs

What is your age * Gurana, a herb used in energy drinks, causesblood pressure disorder Crosstabulation

Count

11 14 25

25 50 75

36 64 100

Teenagers

Adults

What is yourage

Total

Aware Not Aware



Total




Ho: µ1 - µ2 = 0H1: µ1 - µ2 ≠ 0


Group Statistics

25 1.56 .507 .101

75 1.67 .475 .055


Adults



Mean


2.214 .140 -.957 98 .341 -.107 .111 -.328 .115

-.926 39.011 .360 -.107 .115 -.340 .126




F Sig.





Difference


As, P > 0.05




Coefficientsa

1.453 .201 7.233 .000

.107 .111 .096 .957 .341

(Constant)

What is your age

Model1

B Std. Error


Beta


t Sig.

Dependent Variable: Gurana, a herb used in energy drinks, causes blood pressuredisorder

a.


As, P > 0.05So, we fail to reject Ho Y = α + β (X)




Cross tabs

What is your age * Stomach disturbance is basically caused bytaurine, a chemical in energy drinks Crosstabulation

Count

9 16 25

26 49 75

35 65 100

Teenagers

Adults

What is yourage

Total

Aware Not Aware


energy drinks

Total




Ho: µ1 - µ2 = 0H1: µ1 - µ2 ≠ 0


Group Statistics

25 1.64 .490 .098

75 1.65 .479 .055


Adults



Mean


.055 .815 -.120 98 .905 -.013 .111 -.234 .207

-.118 40.411 .906 -.013 .113 -.241 .214




F Sig.





Difference


As, P > 0.05




Coefficientsa

1.627 .201 8.110 .000

.013 .111 .012 .120 .905

(Constant)

What is your age

Model1

B Std. Error


Beta


t Sig.

Dependent Variable: Stomach disturbance is basically caused by taurine, a chemical inenergy drinks

a.


As, P > 0.05


Y = α + β (X)

Awareness level of e4 = 1.627 + 0.013 (age)



Cross tabs

What is your age * Various form of ginseng increase urineproduction Crosstabulation

Count

8 17 25

25 50 75

33 67 100

Teenagers

Adults

What is yourage

Total

Aware Not Aware


production

Total




Ho: µ1 - µ2 = 0H1: µ1 - µ2 ≠ 0


Group Statistics

25 1.68 .476 .095

75 1.67 .475 .055


Adults



Mean


.061 .805 .122 98 .903 .013 .110 -.204 .231

.121 41.070 .904 .013 .110 -.209 .235




F Sig.





Difference


As, P > 0.05




Coefficientsa

1.693 .198 8.564 .000

-.013 .110 -.012 -.122 .903

(Constant)

What is your age

Model1

B Std. Error


Beta


t Sig.



As, P > 0.05


Y = α + β (X)




Cross tabs

What is your age * Energy drinks are good for pregnant womenCrosstabulation

Count

12 13 25

26 49 75

38 62 100

Teenagers

Adults

What is yourage

Total

Aware Not Aware


Total




Ho: µ1 - µ2 = 0H1: µ1 - µ2 ≠ 0


Group Statistics

25 1.52 .510 .102

75 1.65 .479 .055


Adults



Mean


2.442 .121 -1.186 98 .239 -.133 .112 -.356 .090

-1.149 39.106 .257 -.133 .116 -.368 .101




F Sig.





Difference


As, P > 0.05




Coefficientsa

1.387 .203 6.841 .000

.133 .112 .119 1.186 .239

(Constant)

What is your age

Model1

B Std. Error


Beta


t Sig.



As, P > 0.05


Y = α + β (X)

Awareness level of e6 = 1.387 + 0.133 (age)



Cross tabs

What is your age * Gurana triggers a heart attack in heartpatients Crosstabulation

Count

7 18 25

23 52 75

30 70 100

Teenagers

Adults

What is yourage

Total

Aware Not Aware


Total




Ho: µ1 - µ2 = 0H1: µ1 - µ2 ≠ 0

µ1: Average awareness level of teenagers regarding e7.

µ2: Average awareness level of adults regarding e7

Group Statistics

25 1.72 .458 .092

75 1.69 .464 .054


Adults



Mean


.266 .607 .250 98 .803 .027 .107 -.185 .239

.251 41.646 .803 .027 .106 -.188 .241




F Sig.





Difference


As, P > 0.05




Coefficientsa

1.747 .193 9.066 .000

-.027 .107 -.025 -.250 .803

(Constant)

What is your age

Model1

B Std. Error


Beta


t Sig.



As, P > 0.05


Y = α + β (X)

Awareness level of e7 = 1.747 -.027 (age)

As the value of β is negative this means that every 0.027increase will decrease the unit of awareness level regarding e7 and vice versa.


Cross tabs

What is your age * Regular use of energy drinks may increaserisk of spontaneous abortion Crosstabulation

Count

10 15 25

28 47 75

38 62 100

Teenagers

Adults

What is yourage

Total

Aware Not Aware


abortion

Total




Ho: µ1 - µ2 = 0H1: µ1 - µ2 ≠ 0


Group Statistics

25 1.60 .500 .100

75 1.63 .487 .056


Adults



Mean


.197 .658 -.236 98 .814 -.027 .113 -.251 .198

-.232 40.269 .817 -.027 .115 -.258 .205




F Sig.





Difference


As, P > 0.05




Coefficientsa

1.573 .204 7.710 .000

.027 .113 .024 .236 .814

(Constant)

What is your age

Model1

B Std. Error


Beta


t Sig.

Dependent Variable: Regular use of energy drinks may increase risk of spontaneousabortion

a.


As, P > 0.05


Y = α + β (X)

Awareness level of e8 = 1.573 +.027 (age)



Cross tabs

What is your age * Energy drinks dehydrate the human bodyCrosstabulation

Count

9 16 25

23 52 75

32 68 100

Teenagers

Adults

What is yourage

Total

Aware Not Aware


body

Total




Ho: µ1 - µ2 = 0H1: µ1 - µ2 ≠ 0


Group Statistics

25 1.64 .490 .098

75 1.69 .464 .054


Adults



Mean


.819 .368 -.491 98 .625 -.053 .109 -.269 .162

-.478 39.372 .636 -.053 .112 -.279 .173




F Sig.





Difference


As, P > 0.05




Coefficientsa

1.587 .196 8.098 .000

.053 .109 .050 .491 .625

(Constant)

What is your age

Model1

B Std. Error


Beta


t Sig.



As, P > 0.05


Y = α + β (X)




Cross tabs

What is your age * Energy drinks let you recover from bowelirritability Crosstabulation

Count

4 21 25

9 66 75

13 87 100

Teenagers

Adults

What is yourage

Total

Aware Not Aware


irritability

Total




Ho: µ1 - µ2 = 0H1: µ1 - µ2 ≠ 0


Group Statistics

25 1.84 .374 .075

75 1.88 .327 .038


Adults



Mean


.995 .321 -.511 98 .611 -.040 .078 -.195 .115

-.477 37.011 .636 -.040 .084 -.210 .130




F Sig.





Difference


As, P > 0.05




Coefficientsa

1.800 .141 12.744 .000

.040 .078 .052 .511 .611

(Constant)

What is your age

Model1

B Std. Error


Beta


t Sig.



As, P > 0.05


Y = α + β (X)




Cross tabs

What is your age * Increasing nervousness is one of the sideeffects Crosstabulation

Count

10 15 25

22 53 75

32 68 100

Teenagers

Adults

What is yourage

Total

Aware Not Aware


the side effects

Total




Ho: µ1 - µ2 = 0H1: µ1 - µ2 ≠ 0


Group Statistics

25 1.60 .500 .100

75 1.71 .458 .053


Adults



Mean


2.716 .103 -.985 98 .327 -.107 .108 -.322 .108

-.943 38.353 .352 -.107 .113 -.336 .122




F Sig.





Difference


As, P > 0.05

So, we fail to reject Ho Average awareness level of teenagers and adults regarding e11 may be equal


Coefficientsa

1.493 .195 7.650 .000

.107 .108 .099 .985 .327

(Constant)

What is your age

Model1

B Std. Error


Beta


t Sig.


Ho: β = 0 (no relation)H1: β ≠ 0 (relation exit)As, P > 0.05


Y = α + β (X)




Cross tabs

What is your age * Normally, energy drinks are harmless fordiabetic patients Crosstabulation

Count

6 19 25

26 49 75

32 68 100

Teenagers

Adults

What is yourage

Total

Aware Not Aware


Total




Ho: µ1 - µ2 = 0H1: µ1 - µ2 ≠ 0


Group Statistics

25 1.76 .436 .087

75 1.65 .479 .055


Adults



Mean


5.048 .027 .985 98 .327 .107 .108 -.108 .322

1.033 44.863 .307 .107 .103 -.101 .315




F Sig.





Difference


As, P > 0.05




Coefficientsa

1.867 .195 9.562 .000

-.107 .108 -.099 -.985 .327

(Constant)

What is your age

Model1

B Std. Error


Beta


t Sig.



As, P > 0.05


Y = α + β (X)

Awareness level of e12 = 1.867-0.107 (age)



Cross tabs

What is your age * Artificial sweetener & vitamins reduce headace Crosstabulation

Count

9 16 25

24 51 75

33 67 100

Teenagers

Adults

What is yourage

Total

Aware Not Aware


ace

Total




Ho: µ1 - µ2 = 0H1: µ1 - µ2 ≠ 0


Group Statistics

25 1.64 .490 .098

75 1.68 .470 .054


Adults



Mean


.469 .495 -.365 98 .716 -.040 .110 -.258 .178

-.357 39.745 .723 -.040 .112 -.266 .186




F Sig.





Difference


As, P > 0.05


Average awareness level of teenagers and adults regarding e13may be equal


Coefficientsa

1.600 .198 8.096 .000

.040 .110 .037 .365 .716

(Constant)

What is your age

Model1

B Std. Error


Beta


t Sig.



As, P > 0.05


Y = α + β (X)

Awareness level of e13 = 1.600+0.040 (age)



Cross tabs

What is your age * Vomiting is caused by artificial sweetener &vitamins Crosstabulation

Count

10 15 25

21 54 75

31 69 100

Teenagers

Adults

What is yourage

Total

Aware Not Aware


vitamins

Total




Ho: µ1 - µ2 = 0H1: µ1 - µ2 ≠ 0


Group Statistics

25 1.60 .500 .100

75 1.72 .452 .052


Adults



Mean


3.422 .067 -1.119 98 .266 -.120 .107 -.333 .093

-1.064 37.945 .294 -.120 .113 -.348 .108




F Sig.





Difference


As, P > 0.05So, we fail to reject Ho Average awareness level of teenagers and adults regarding e14may be equal


Coefficientsa

1.480 .193 7.657 .000

.120 .107 .112 1.119 .266

(Constant)

What is your age

Model1

B Std. Error


Beta


t Sig.




Y = α + β (X)




Cross tabs

What is your age * Excess use of vitamins shivers the bodyCrosstabulation

Count

9 16 25

28 47 75

37 63 100

Teenagers

Adults

What is yourage

Total

Aware Not Aware


Total




Ho: µ1 - µ2 = 0H1: µ1 - µ2 ≠ 0


Group Statistics

25 1.64 .490 .098

75 1.63 .487 .056


Adults



Mean


.059 .809 .118 98 .906 .013 .113 -.210 .237

.118 40.970 .907 .013 .113 -.215 .241




F Sig.





Difference


As, P > 0.05




Coefficientsa

1.653 .203 8.143 .000

-.013 .113 -.012 -.118 .906

(Constant)

What is your age

Model1

B Std. Error


Beta


t Sig.



As, P > 0.05


Y = α + β (X)

Awareness level of e15 = 1.653-0.013 (age)



Cross tabs

What is your age * Energy drinks can not manifest as analteration in mental state Crosstabulation

Count

7 18 25

19 56 75

26 74 100

Teenagers

Adults

What is yourage

Total

Aware Not Aware



Total




Ho: µ1 - µ2 = 0H1: µ1 - µ2 ≠ 0


Group Statistics

25 1.72 .458 .092

75 1.75 .438 .051


Adults



Mean


.257 .613 -.261 98 .795 -.027 .102 -.230 .176

-.255 39.639 .800 -.027 .105 -.238 .185




F Sig.





Difference


As, P > 0.05So, we fail to reject Ho Average awareness level of teenagers and adults regarding e16 may be equal


Coefficientsa

1.693 .184 9.183 .000

.027 .102 .026 .261 .795

(Constant)

What is your age

Model1

B Std. Error


Beta


t Sig.




Y = α + β (X)




Cross tabs

What is your age * Energy drinks increases the abnormal growthof body cells Crosstabulation

Count

8 17 25

21 54 75

29 71 100

Teenagers

Adults

What is yourage

Total

Aware Not Aware



Total




Ho: µ1 - µ2 = 0H1: µ1 - µ2 ≠ 0


Group Statistics

25 1.68 .476 .095

75 1.72 .452 .052


Adults



Mean


.518 .473 -.378 98 .706 -.040 .106 -.250 .170

-.368 39.435 .715 -.040 .109 -.260 .180




F Sig.





Difference


As, P > 0.05




Coefficientsa

1.640 .191 8.600 .000

.040 .106 .038 .378 .706

(Constant)

What is your age

Model1

B Std. Error


Beta


t Sig.




Y = α + β (X)




Cross tabs

What is your age * Colonic movements are caused by energydrinks Crosstabulation

Count

8 17 25

23 52 75

31 69 100

Teenagers

Adults

What is yourage

Total

Aware Not Aware


drinks

Total




Ho: µ1 - µ2 = 0H1: µ1 - µ2 ≠ 0


Group Statistics

25 1.68 .476 .095

75 1.69 .464 .054


Adults



Mean


.059 .809 -.124 98 .902 -.013 .108 -.227 .201

-.122 40.309 .903 -.013 .109 -.234 .207




F Sig.





Difference




Coefficientsa

1.667 .194 8.569 .000

.013 .108 .012 .124 .902

(Constant)

What is your age

Model1

B Std. Error


Beta


t Sig.




Y = α + β (X)



Awareness level of Teenagers & Adults about e1 9

Cross tabs

What is your age * Caffeine cause a temporary abnormal Crosstabulation

Count

16 9 25

34 41 75

50 50 100

Teenagers

Adults

What is yourage

Total

Aware Not Aware


Total




Ho: µ1 - µ2 = 0H1: µ1 - µ2 ≠ 0


Group Statistics

25 1.36 .490 .098

75 1.55 .501 .058


Adults



Mean


3.637 .059 -1.622 98 .108 -.187 .115 -.415 .042

-1.640 42.007 .108 -.187 .114 -.416 .043




F Sig.





Difference




Coefficientsa

1.173 .208 5.654 .000

.187 .115 .162 1.622 .108

(Constant)

What is your age

Model1

B Std. Error


Beta


t Sig.




Y = α + β (X)




Cross tabs

What is your age * High doze of sugar & caffeine results in acommon chronic neurological disorder Crosstabulation

Count

11 14 25

35 40 75

46 54 100

Teenagers

Adults

What is yourage

Total

Aware Not Aware



Total




Ho: µ1 - µ2 = 0H1: µ1 - µ2 ≠ 0


Group Statistics

25 1.56 .507 .101

75 1.53 .502 .058


Adults



Mean


.265 .608 .229 98 .819 .027 .116 -.204 .257

.228 40.878 .820 .027 .117 -.209 .262




F Sig.





Difference




Coefficientsa

1.587 .210 7.572 .000

-.027 .116 -.023 -.229 .819

(Constant)

What is your age

Model1

B Std. Error


Beta


t Sig.

Dependent Variable: High doze of sugar & caffeine results in a common chronicneurological disorder

a.



Y = α + β (X)

Awareness level of e 20 = 1.587- 0.027(age)


Awareness level of students & professionals about e1

Frequencies


67 67.0 67.0 67.0

33 33.0 33.0 100.0

100 100.0 100.0

Aware

Not Aware

Total


CumulativePercent

Cross tabs

What is your occupation * Caffeine is a major source of sleepdisturbance Crosstabulation

Count

11 6 17

56 27 83

67 33 100

Professional

Student

What is youroccupation

Total

Aware Not Aware


disturbance

Total


1 = professionals2 = students


Ho: µ1 - µ2 = 0H1: µ1 - µ2 ≠ 0

µ1: Average awareness level of professionals regarding e1.µ2: Average awareness level of students regarding e1.

Group Statistics

17 1.35 .493 .119

83 1.33 .471 .052

What is your occupationProfessional

Student



Mean


.171 .680 .219 98 .827 .028 .126 -.223 .279

.212 22.410 .834 .028 .130 -.242 .297




F Sig.





Difference


As, P >0.05So, we fail to reject Ho Average awareness level of students and professionals regarding e1 may be equal.


Coefficientsa

1.381 .236 5.846 .000

-.028 .126 -.022 -.219 .827

(Constant)

What is your occupation

Model1

B Std. Error


Beta


t Sig.




Y = α + β (X)

Awareness level of caffeine as a sleep disturbance = 1.381 - 0.028 (occupation)

As the value of β is negative this means that every 0.028 increase will decrease the unit of awareness level regarding e1 and vice versa


Frequencies


67 67.0 67.0 67.0

33 33.0 33.0 100.0

100 100.0 100.0

Aware

Not Aware

Total


CumulativePercent

Cross tabs

What is your occupation * Panic attacks are caused by heavy dozeof caffeine Crosstabulation

Count

11 6 17

45 38 83

56 44 100

Professional

Student


Total

Aware Not Aware


of caffeine

Total




Ho: µ1 - µ2 = 0H1: µ1 - µ2 ≠ 0


Group Statistics

What is your occupationNMeanStd. DeviationStd. Error

MeanPanic attacks are caused by heavy doze of caffeine

Professional171.35.493.119

Student831.46.501.055


4.517 .036 -.788 98 .432 -.105 .133 -.369 .159

-.797 23.302 .433 -.105 .132 -.377 .167




F Sig.





Difference


As, P >0.05So, we fail to reject Ho Average awareness level of students and professionals regarding e2 may be equal


Coefficientsa

1.248 .249 5.021 .000

.105 .133 .079 .788 .432

(Constant)


Model1

B Std. Error


Beta


t Sig.




Y = α + β (X)

Awareness level of caffeine as a sleep disturbance = 1.248 + 0.105 (occupation)



Frequencies


67 67.0 67.0 67.0

33 33.0 33.0 100.0

100 100.0 100.0

Aware

Not Aware

Total


CumulativePercent

Cross tabs

What is your occupation * Gurana, a herb used in energy drinks,causes blood pressure disorder Crosstabulation

Count

3 14 17

33 50 83

36 64 100

Professional

Student


Total

Aware Not Aware



Total




Ho: µ1 - µ2 = 0

H1: µ1 - µ2 ≠ 0


Group Statistics

17 1.82 .393 .095

83 1.60 .492 .054


Student



Mean


26.260 .000 1.739 98 .085 .221 .127 -.031 .473

2.018 27.392 .053 .221 .110 -.004 .446




F Sig.





Difference




Coefficientsa

2.045 .238 8.609 .000

-.221 .127 -.173 -1.739 .085

(Constant)


Model1

B Std. Error


Beta


t Sig.

Dependent Variable: Gurana, a herb used in energy drinks, causes blood pressure disordera.



Y = α + β (X)




Frequencies


67 67.0 67.0 67.0

33 33.0 33.0 100.0

100 100.0 100.0

Aware

Not Aware

Total


CumulativePercent

Cross tabs

What is your occupation * Stomach disturbance is basicallycaused by taurine, a chemical in energy drinks Crosstabulation

Count

5 12 17

30 53 83

35 65 100

Professional

Student


Total

Aware Not Aware


energy drinks

Total




Ho: µ1 - µ2 = 0H1: µ1 - µ2 ≠ 0


Group Statistics

17 1.71 .470 .114

83 1.64 .483 .053


Student



Mean


1.437 .233 .526 98 .600 .067 .128 -.187 .322

.536 23.479 .597 .067 .126 -.192 .327




F Sig.





Difference




Coefficientsa

1.773 .239 7.410 .000

-.067 .128 -.053 -.526 .600

(Constant)


Model1

B Std. Error


Beta


t Sig.

Dependent Variable: Stomach disturbance is basically caused by taurine, a chemical in energydrinks

a.



Y = α + β (X)




Frequencies


67 67.0 67.0 67.0

33 33.0 33.0 100.0

100 100.0 100.0

Aware

Not Aware

Total


CumulativePercent

Cross tabs

What is your occupation * Various form of ginseng increase urineproduction Crosstabulation

Count

6 11 17

27 56 83

33 67 100

Professional

Student


Total

Aware Not Aware


production

Total




Ho: µ1 - µ2 = 0H1: µ1 - µ2 ≠ 0


Group Statistics

17 1.65 .493 .119

83 1.67 .471 .052


Student



Mean


.171 .680 -.219 98 .827 -.028 .126 -.279 .223

-.212 22.410 .834 -.028 .130 -.297 .242




F Sig.





Difference




Coefficientsa

1.619 .236 6.857 .000

.028 .126 .022 .219 .827

(Constant)


Model1

B Std. Error


Beta


t Sig.




Y = α + β (X)




Frequencies


67 67.0 67.0 67.0

33 33.0 33.0 100.0

100 100.0 100.0

Aware

Not Aware

Total


CumulativePercent

Cross tabs

What is your occupation * Energy drinks are good for pregnantwomen Crosstabulation

Count

9 8 17

29 54 83

38 62 100

Professional

Student


Total

Aware Not Aware


Total




Ho: µ1 - µ2 = 0H1: µ1 - µ2 ≠ 0


Group Statistics

17 1.47 .514 .125

83 1.65 .480 .053


Student



Mean


1.525 .220 -1.393 98 .167 -.180 .129 -.437 .076

-1.329 22.068 .197 -.180 .135 -.461 .101




F Sig.





Difference




Coefficientsa

1.291 .241 5.345 .000

.180 .129 .139 1.393 .167

(Constant)


Model1

B Std. Error


Beta


t Sig.




Y = α + β (X)




Frequencies


67 67.0 67.0 67.0

33 33.0 33.0 100.0

100 100.0 100.0

Aware

Not Aware

Total


CumulativePercent

Cross tabs

What is your occupation * Gurana triggers a heart attack in heartpatients Crosstabulation

Count

5 12 17

25 58 83

30 70 100

Professional

Student


Total

Aware Not Aware


Total




Ho: µ1 - µ2 = 0H1: µ1 - µ2 ≠ 0


Group Statistics

17 1.71 .470 .114

83 1.70 .462 .051


Student



Mean


.014 .908 .058 98 .954 .007 .123 -.237 .252

.057 22.782 .955 .007 .125 -.251 .265




F Sig.





Difference




Coefficientsa

1.713 .230 7.441 .000

-.007 .123 -.006 -.058 .954

(Constant)


Model1

B Std. Error


Beta


t Sig.




Y = α + β (X)




Frequencies


67 67.0 67.0 67.0

33 33.0 33.0 100.0

100 100.0 100.0

Aware

Not Aware

Total


CumulativePercent

Cross tabs

What is your occupation * Regular use of energy drinks mayincrease risk of spontaneous abortion Crosstabulation

Count

6 11 17

32 51 83

38 62 100

Professional

Student


Total

Aware Not Aware


abortion

Total




Ho: µ1 - µ2 = 0H1: µ1 - µ2 ≠ 0


Group Statistics

17 1.65 .493 .119

83 1.61 .490 .054


Student



Mean


.294 .589 .250 98 .803 .033 .130 -.226 .292

.249 22.949 .806 .033 .131 -.238 .304




F Sig.





Difference




Coefficientsa

1.680 .244 6.890 .000

-.033 .130 -.025 -.250 .803

(Constant)


Model1

B Std. Error


Beta


t Sig.

Dependent Variable: Regular use of energy drinks may increase risk of spontaneous abortiona.

Ho: β = 0 (no relation)

H1: β ≠ 0 (relation exit)

As, P > 0.05


Y = α + β (X)




Frequencies


67 67.0 67.0 67.0

33 33.0 33.0 100.0

100 100.0 100.0

Aware

Not Aware

Total


CumulativePercent

Cross tabs

What is your occupation * Energy drinks dehydrate the humanbody Crosstabulation

Count

4 13 17

28 55 83

32 68 100

Professional

Student


Total

Aware Not Aware


body

Total




Ho: µ1 - µ2 = 0H1: µ1 - µ2 ≠ 0


Group Statistics

17 1.76 .437 .106

83 1.66 .476 .052


Student



Mean


3.730 .056 .816 98 .416 .102 .125 -.146 .350

.863 24.418 .396 .102 .118 -.142 .346




F Sig.





Difference




Coefficientsa

1.867 .234 7.993 .000

-.102 .125 -.082 -.816 .416

(Constant)


Model1

B Std. Error


Beta


t Sig.




Y = α + β (X)




Frequencies


67 67.0 67.0 67.0

33 33.0 33.0 100.0

100 100.0 100.0

Aware

Not Aware

Total


CumulativePercent

Cross tabs

What is your occupation * Energy drinks let you recover frombowel irritability Crosstabulation

Count

1 16 17

12 71 83

13 87 100

Professional

Student


Total

Aware Not Aware


irritability

Total




Ho: µ1 - µ2 = 0H1: µ1 - µ2 ≠ 0


Group Statistics

17 1.94 .243 .059

83 1.86 .354 .039


Student



Mean


4.360 .039 .953 98 .343 .086 .090 -.093 .264

1.217 31.809 .233 .086 .070 -.058 .229




F Sig.





Difference


As, P >0.05So, we fail to reject Ho

Average awareness level of students and professionals regarding e10 may be equal


Coefficientsa

2.027 .168 12.052 .000

-.086 .090 -.096 -.953 .343

(Constant)


Model1

B Std. Error


Beta


t Sig.




Y = α + β (X)




Frequencies


67 67.0 67.0 67.0

33 33.0 33.0 100.0

100 100.0 100.0

Aware

Not Aware

Total


CumulativePercent

Cross tabs

What is your occupation * Increasing nervousness is one of theside effects Crosstabulation

Count

4 13 17

28 55 83

32 68 100

Professional

Student


Total

Aware Not Aware


the side effects

Total




Ho: µ1 - µ2 = 0H1: µ1 - µ2 ≠ 0


Group Statistics


MeanIncreasing nervousness is one of the side effects


Student831.66.476.052


3.730 .056 .816 98 .416 .102 .125 -.146 .350

.863 24.418 .396 .102 .118 -.142 .346




F Sig.





Difference




Coefficientsa

1.867 .234 7.993 .000

-.102 .125 -.082 -.816 .416

(Constant)


Model1

B Std. Error


Beta


t Sig.




Y = α + β (X)




Frequencies


67 67.0 67.0 67.0

33 33.0 33.0 100.0

100 100.0 100.0

Aware

Not Aware

Total


CumulativePercent

Cross tabs

What is your occupation * Normally, energy drinks are harmlessfor diabetic patients Crosstabulation

Count

8 9 17

24 59 83

32 68 100

Professional

Student


Total

Aware Not Aware


Total




Ho: µ1 - µ2 = 0H1: µ1 - µ2 ≠ 0


Group Statistics

17 1.53 .514 .125

83 1.71 .456 .050


Student



Mean


3.448 .066 -1.462 98 .147 -.181 .124 -.428 .065

-1.349 21.458 .191 -.181 .134 -.461 .098




F Sig.





Difference





Coefficientsa

1.348 .232 5.814 .000

.181 .124 .146 1.462 .147

(Constant)


Model1

B Std. Error


Beta


t Sig.




Y = α + β (X)




Frequencies


67 67.0 67.0 67.0

33 33.0 33.0 100.0

100 100.0 100.0

Aware

Not Aware

Total


CumulativePercent

Cross tabs

What is your occupation * Artificial sweetener & vitamins reducehead ace Crosstabulation

Count

5 12 17

28 55 83

33 67 100

Professional

Student


Total

Aware Not Aware


ace

Total




Ho: µ1 - µ2 = 0H1: µ1 - µ2 ≠ 0


Group Statistics


MeanArtificial sweetener & vitamins reduce head ace


Student831.66.476.052


.548 .461 .342 98 .733 .043 .126 -.208 .294

.345 23.229 .733 .043 .125 -.216 .302




F Sig.





Difference





Coefficientsa

1.749 .236 7.409 .000

-.043 .126 -.035 -.342 .733

(Constant)


Model1

B Std. Error


Beta


t Sig.




Y = α + β (X)




Frequencies


67 67.0 67.0 67.0

33 33.0 33.0 100.0

100 100.0 100.0

Aware

Not Aware

Total


CumulativePercent

Cross tabs

What is your occupation * Vomiting is caused by artificialsweetener & vitamins Crosstabulation

Count

3 14 17

28 55 83

31 69 100

Professional

Student


Total

Aware Not Aware


vitamins

Total




Ho: µ1 - µ2 = 0H1: µ1 - µ2 ≠ 0


Group Statistics

17 1.82 .393 .095

83 1.66 .476 .052


Student



Mean


11.288 .001 1.305 98 .195 .161 .123 -.084 .406

1.480 26.579 .151 .161 .109 -.062 .384




F Sig.





Difference




Coefficientsa

1.984 .230 8.614 .000

-.161 .123 -.131 -1.305 .195

(Constant)


Model1

B Std. Error


Beta


t Sig.




Y = α + β (X)




Frequencies


67 67.0 67.0 67.0

33 33.0 33.0 100.0

100 100.0 100.0

Aware

Not Aware

Total


CumulativePercent

Cross tabs

What is your occupation * Excess use of vitamins shivers the bodyCrosstabulation

Count

6 11 17

31 52 83

37 63 100

Professional

Student


Total

Aware Not Aware


Total




Ho: µ1 - µ2 = 0H1: µ1 - µ2 ≠ 0


Group Statistics

17 1.65 .493 .119

83 1.63 .487 .053


Student



Mean


.111 .740 .158 98 .875 .021 .130 -.237 .278

.157 22.859 .877 .021 .131 -.250 .291




F Sig.





Difference




Coefficientsa

1.668 .243 6.876 .000

-.021 .130 -.016 -.158 .875

(Constant)


Model1

B Std. Error


Beta


t Sig.




Y = α + β (X)




Frequencies


67 67.0 67.0 67.0

33 33.0 33.0 100.0

100 100.0 100.0

Aware

Not Aware

Total


CumulativePercent

Cross tabs

What is your occupation * Energy drinks can not manifest as analteration in mental state Crosstabulation

Count

6 11 17

20 63 83

26 74 100

Professional

Student


Total

Aware Not Aware



Total




Ho: µ1 - µ2 = 0H1: µ1 - µ2 ≠ 0


Group Statistics

17 1.65 .493 .119

83 1.76 .430 .047


Student



Mean


2.593 .111 -.954 98 .343 -.112 .117 -.345 .121

-.872 21.290 .393 -.112 .128 -.379 .155




F Sig.





Difference




Coefficientsa

1.535 .219 6.998 .000

.112 .117 .096 .954 .343

(Constant)


Model1

B Std. Error


Beta


t Sig.




Y = α + β (X)




Frequencies


67 67.0 67.0 67.0

33 33.0 33.0 100.0

100 100.0 100.0

Aware

Not Aware

Total


CumulativePercent

Cross tabs

What is your occupation * Energy drinks increases the abnormalgrowth of body cells Crosstabulation

Count

6 11 17

23 60 83

29 71 100

Professional

Student


Total

Aware Not Aware



Total




Ho: µ1 - µ2 = 0

H1: µ1 - µ2 ≠ 0


Group Statistics

17 1.65 .493 .119

83 1.72 .450 .049


Student



Mean


1.196 .277 -.623 98 .535 -.076 .122 -.318 .166

-.587 21.821 .564 -.076 .129 -.344 .192




F Sig.





Difference




Coefficientsa

1.571 .228 6.906 .000

.076 .122 .063 .623 .535

(Constant)


Model1

B Std. Error


Beta


t Sig.




Y = α + β (X)

Awareness level of caffeine as a sleep disturbance = 1.571 + 0.076 (Occupation)



Frequencies


67 67.0 67.0 67.0

33 33.0 33.0 100.0

100 100.0 100.0

Aware

Not Aware

Total


CumulativePercent

Cross tabs

What is your occupation * Colonic movements are caused byenergy drinks Crosstabulation

Count

2 15 17

29 54 83

31 69 100

Professional

Student


Total

Aware Not Aware


drinks

Total




Ho: µ1 - µ2 = 0H1: µ1 - µ2 ≠ 0


Group Statistics

17 1.88 .332 .081

83 1.65 .480 .053


Student



Mean


30.754 .000 1.897 98 .061 .232 .122 -.011 .474

2.408 31.473 .022 .232 .096 .036 .428




F Sig.





Difference




Coefficientsa

2.114 .228 9.264 .000

-.232 .122 -.188 -1.897 .061

(Constant)


Model1

B Std. Error


Beta


t Sig.




Y = α + β (X)




Frequencies


67 67.0 67.0 67.0

33 33.0 33.0 100.0

100 100.0 100.0

Aware

Not Aware

Total


CumulativePercent

Cross tabs

What is your occupation * Caffeine cause a temporary abnormal Crosstabulation

Count

9 8 17

41 42 83

50 50 100

Professional

Student


Total

Aware Not Aware


Total




Ho: µ1 - µ2 = 0H1: µ1 - µ2 ≠ 0


Group Statistics

17 1.47 .514 .125

83 1.51 .503 .055


Student



Mean


.215 .644 -.264 98 .793 -.035 .134 -.302 .231

-.260 22.708 .797 -.035 .136 -.318 .247




F Sig.





Difference




Coefficientsa

1.435 .251 5.715 .000

.035 .134 .027 .264 .793

(Constant)


Model1

B Std. Error


Beta


t Sig.




Y = α + β (X)




Frequencies


67 67.0 67.0 67.0

33 33.0 33.0 100.0

100 100.0 100.0

Aware

Not Aware

Total


CumulativePercent

Cross tabs

What is your occupation * High doze of sugar & caffeine results ina common chronic neurological disorder Crosstabulation

Count

7 10 17

39 44 83

46 54 100

Professional

Student


Total

Aware Not Aware



Total




Ho: µ1 - µ2 = 0H1: µ1 - µ2 ≠ 0

µ1: Average awareness level of professionals regarding e20µ2: Average awareness level of students regarding e20

Group Statistics

17 1.59 .507 .123

83 1.53 .502 .055


Student



Mean


1.287 .259 .434 98 .665 .058 .134 -.208 .324

.431 22.886 .670 .058 .135 -.221 .337




F Sig.





Difference


As, P >0.05So, we fail to reject Ho Average awareness level of students and professionals regarding e20ay be equal


Coefficientsa

1.646 .250 6.582 .000

-.058 .134 -.044 -.434 .665

(Constant)


Model1

B Std. Error


Beta


t Sig.

Dependent Variable: High doze of sugar & caffeine results in a common chronic neurologicaldisorder

a.



Y = α + β (X)

Awareness level of caffeine as a sleep disturbance = 1.646 – 0.058 (occupation)


Findings

From the whole research the team members have got following major findings regarding the people of UMT

Concept of usage of energy drinks is there among the people and almost one third of the population like to have energy drinks.

Male are more aware about the energy drinks as compared to females.

People do believe that energy drinks serve the purpose of providing them energy. Other factors like status, showoff, taste etc do count but up to little extent.

People of UMT are partially familiar with the ingredients of the energy drinks.

Adults of UMT are more familiar about the ingredients of the energy drinks as compared to the teenagers.

The people do know that energy boosters both artificial and natural are used to re boost their energy level.

They don’t know about the other key ingredients.

People do agree that Caffeine builds various health hazards in their body.

People don’t know about the effects of taurine, Gurana and ginseng on their health.

There is no manufacturer in the Pakistan.

Limited numbers of brands are available in Pakistan.

Available brands are being imported from UAE in ready to drink form.

The only brand with proper supply chain here in Pakistan is OZO.

There is no legal imposition over the import of energy drinks. And ministry of health is taking no action to create awareness among the people about the side effects of the energy drinks.

Level of awareness among the people of UMT is high because mostly they are overseas and there awareness level about the energy drinks is quite high.

Due to the lack of direct supply chain promotional activities about the energy drinks are very less in number.

Because of the more work load over the students they are obliged to use such artificial energy boosters.

Marketing campaigns launched by the different brands are misleading the youngsters.

Recommendations

Despite the limited science, we do know that energy drinks constitute a potential danger to the health and safety of our communities, and particularly to our young people. W need not wait for more science to act

Energy drinks should be vigorously opposed before the products become even more popular

Legalities should be imposed by the government in order to prevent alcoholic energy drinks.

Health ministry should take actions in order to make people aware about the health hazards of the energy drinks focusing particularly on the impact on underage drinking

Government should make a check upon the misleading advertising campaigns and should take legal actions against them.

Campaigns should be encouraged in order to create awareness about natural energy providers

Communities need to aggressively seek both voluntary action and government action at all levels national, state, and local to protect our young people from harm.

Action is urgently needed before energy drinks become further entrenched in the marketplace, which in turn would create powerful economic interests determined to maintain the country quo. These beverages are still in development, with major marketing efforts undoubtedly now being devised by the major producers. This success should be used as a first step in a similar, broader campaign that challenges the entire beverage category.

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