Health Behavior In School Children

PAD 770

Nicholas Pennola

 

A. Topic Overview

          Children are the bedrock of our society, how we educate and nurture them will determine not only our future but the future of the world.  If we can study the actions of children and the affects of outside influences on them, then we can better manage their education and ensure that everyone has a bright future.

B. Review of Research Literature

Every year the World Health Organization sponsors a cross-national study of health related attitudes and behaviors of school aged children.  The studies look at a wide range of impacts ranging from drug and alcohol use to eating habits, family make up and violence in school.  Utilizing all of these factors it is possible to analyze some of the root problems within our society and find if there are any specific correlations between certain instances of health and behavior problems. 

In depth articles on the subject can be found at the Teen Drug Abuse website. The websites goal is to “educate people about why teens begin using, what they are using, and how those drugs are affecting teens physically, socially, and mentally.”  The numerous articles on the site describe all aspects of substance abuse from smoking cigarettes to illicit drugs such as cocaine and everything in between. 

 

C. Research Question

Is there a relationship between teen drug use and scholastic activity and injury?

It is a common notion that drugs are bad and that they affect the youth of this country in a negative way.  In this study I will endeavor to discover if there is any definitive relationship will substance use and its affects on school aged children.

D. Sources of Data

Health Behavior in School-Aged Children, 1997-1998: [United States]
World Health Organization

E. Summary of Statistical Procedure

I ran two correlations to determine the relationship between drug and alcohol use and how it affected student behavior and their health.  The first correlation examined the relationship between the different substances that students use, their school habits as well as their opinions of about being in school.  The second analyzed the relationship between the drug and alcohol use with the types of injuries suffered, attempting to discover if substance use has any relationship to children being hurt.

F. Findings

 Correlation #1

SDA 3.1: Correl

Health Behavior in School-Aged Children (HBSC), 1997-1998

Dec 16, 2007 (Sun 08:44 PM EST)

Variables

Role

Name

Label

Range

MD

Dataset

Correlate

Q83

SMOKING

1-5

-9

1

Correlate

Q91

PAST 30 DAYS, 5 OR MORE DRINKS IN A ROW

1-10

-9

1

Correlate

Q95A

USED MARIJUANA

1-2

-9

1

Correlate

Q95B

USED COCAINE

1-2

-9

1

Correlate

Q95C

USED INHALANTS

1-2

-9

1

Correlate

Q52

TRUANCY

1-5

-9

1

Correlate

Q53

SCHOOL IS BORING

1-5

-9

1

Correlate

Q57

ACADEMIC ACHIEVEMENT

1-4

-9

1

Correlate

Q58E

SCHOOL ATM - I BELONG AT SCHOOL

1-5

-9

1

Weight

W0

POPULATION WEIGHTS

2.06-17,390.55

-9

1

Correlation Matrix

 

Q83

Q91

Q95A

Q95B

Q95C

Q52

Q53

Q57

Q58E

Q83

1.00

.53

-.55

-.34

-.33

.34

.24

.23

.16

Q91

.53

1.00

-.49

-.38

-.34

.34

.24

.19

.15

Q95A

-.55

-.49

1.00

.34

.36

-.33

-.22

-.22

-.14

Q95B

-.34

-.38

.34

1.00

.43

-.22

-.12

-.11

-.10

Q95C

-.33

-.34

.36

.43

1.00

-.20

-.16

-.13

-.09

Q52

.34

.34

-.33

-.22

-.20

1.00

.24

.22

.12

Q53

.24

.24

-.22

-.12

-.16

.24

1.00

.26

.28

Q57

.23

.19

-.22

-.11

-.13

.22

.26

1.00

.20

Q58E

.16

.15

-.14

-.10

-.09

.12

.28

.20

1.00


Missing data excluded: Listwise

Color coding:

<-0.45

<-0.30

<-0.15

<0.00

>0.00

>0.15

>0.30

>0.45

Allocation of cases (unweighted)

Valid cases

14,318

Cases with invalid codes on
variables correlated

1,368

Total cases

15,686

Datasets

1

 

/SDA/SAMHDA/03522-0001

2

 

/SDA/SAMHDA/03522-0001

CSM, UC Berkeley

Correlation #2

SDA 3.1: Correl

Health Behavior in School-Aged Children (HBSC), 1997-1998

Dec 16, 2007 (Sun 10:09 PM EST)

Variables

Role

Name

Label

Range

MD

Dataset

Correlate

Q83

SMOKING

1-5

-9

1

Correlate

Q91

PAST 30 DAYS, 5 OR MORE DRINKS IN A ROW

1-10

-9

1

Correlate

Q95A

USED MARIJUANA

1-2

-9

1

Correlate

Q95B

USED COCAINE

1-2

-9

1

Correlate

Q95C

USED INHALANTS

1-2

-9

1

Correlate

Q46A

CONSEQUENCE-CAST

1-2

-9

1

Correlate

Q46B

CONSEQUENCE-STITCHES

1-2

-9

1

Correlate

Q46C

CONSEQUENCE-CRUTCHES

1-2

-9

1

Correlate

Q46D

CONSEQUENCE-OPERATION

1-2

-9

1

Correlate

Q46E

CONSEQUENCE-HOSPITAL STAY

1-2

-9

1

Correlate

Q49

INJURED-NO DOCTOR

1-5

-9

1

Weight

W0

POPULATION WEIGHTS

2.06-17,390.55

-9

1

Correlation Matrix

 

Q83

Q91

Q95A

Q95B

Q95C

Q46A

Q46B

Q46C

Q46D

Q46E

Q49

Q83

1.00

.53

-.56

-.35

-.34

-.05

-.10

-.08

-.08

-.08

.13

Q91

.53

1.00

-.48

-.41

-.35

-.04

-.09

-.07

-.09

-.09

.15

Q95A

-.56

-.48

1.00

.33

.34

.02

.07

.06

.10

.09

-.10

Q95B

-.35

-.41

.33

1.00

.42

.03

.08

.03

.08

.09

-.10

Q95C

-.34

-.35

.34

.42

1.00

.08

.09

.06

.07

.06

-.09

Q46A

-.05

-.04

.02

.03

.08

1.00

-.02

.17

.11

.06

-.08

Q46B

-.10

-.09

.07

.08

.09

-.02

1.00

.05

.24

.18

-.11

Q46C

-.08

-.07

.06

.03

.06

.17

.05

1.00

.19

.17

-.13

Q46D

-.08

-.09

.10

.08

.07

.11

.24

.19

1.00

.40

-.12

Q46E

-.08

-.09

.09

.09

.06

.06

.18

.17

.40

1.00

-.17

Q49

.13

.15

-.10

-.10

-.09

-.08

-.11

-.13

-.12

-.17

1.00


Missing data excluded: Listwise

Color coding:

<-0.45

<-0.30

<-0.15

<0.00

>0.00

>0.15

>0.30

>0.45

Allocation of cases (unweighted)

Valid cases

6,143

Cases with invalid codes on
variables correlated

9,543

Total cases

15,686

Datasets

1

 

/SDA/SAMHDA/03522-0001

2

 

/SDA/SAMHDA/03522-0001

CSM, UC Berkeley

G. Explanation of the Findings

There wasn't much of a correlation between the uses of any of the substances with the feelings about school, there is a very small positive correlation between truancy and smoking and drinking and a small negative correlation between truancy and marijuana use.  Even though it is small these statistics show that there is some small link between these attributes.

It would seem logical that those involved with substance use would be more likely to get injured, whether that be from accidents involving the substance itself, like an overdose or alcohol poisoning, or from some kind of accident involving impaired judgment or reflexes from the effects of the substance.  However, the matrix shows that there is indeed no relevant correlation between any of the substances and injuries reported on the survey.

The substances themselves are another story.  While drinking alcohol and smoking cigarettes were relatively correlated, the most interesting piece of information was the mid range negative correlation between those two and their illicit counterparts.  Alcohol and smoking cigarettes are generally considered to be gateway drugs, the use of these leading to the use of the harder substances but this study shows that the reverse is actually true, those that smoked cigarettes or drank alcohol regularly were less likely to use other substances.

 

H. Discussion of the Findings in the Context of the Research Literature

Most of the information concerning substance use concerning school aged children, like popular thought is that the use of substances adversely affects the children.   This information was not supported by the information collected in the World Health Organization survey.  However, to further clarify more specific information regarding this subject it is recommended that another study be completed that tracks children who use substances and further study how they are impeded throughout their education.

Hosted by www.Geocities.ws

1