Padma Mam Interpret

7/27/2019 Padma Mam Interpret

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SECTION – I

The sample in terms of demographic variables selected for the study were

school, age, religion, caste, educational qualification, marital status, type of family, family income, history of breast cancer in the family, number of

children, known personal history of breast cancer, menstrual status, use of oral contraceptive drugs, source of knowledge, among the school teachers in

government and private schools working at selected schools, Hyderabad.The information on demographic variables was obtained from self-

administered structured questionnaire.

Frequency and percentage distribution of teachers according to their

school

Table – I

n = 50

School Frequency Percent

PRIVATE 25 50.0

GOVERNMENT 25 50.0

Total 50 100.0

The above table represents that out of 50 samples (teachers) half of

them were from private school and another half are from

government school.



Frequency and percentage distribution of teachers according

to their age

Table – II

n = 50

Age Frequency Percent

20 - 29 years 10 20.0

30 - 39 years 25 50.0

40 - 49 years 12 24.0

50 - 59 years 3 6.0

Total 50 100.0

The above table shows that majority of teachers i.e. 25 were from

the age group 30-39 years, followed by 12 from the age group 40-

49 years, next 10 were from the age group of 20-29 years and the

least were from 50-59 years i.e. 3 teachers.




to their religion.

Table – III

n = 50

Religion Frequency Percent

Hindu 32 64.0

Christian 10 20.0

Muslim 8 16.0

Total 50 100.0

The above table depicts that more than half of the teachers (i.e. 64%)

belonged to Hindu religion, 20% were Christians and 16% were Muslims.




to their caste.

Table – IV

n = 50

Caste Frequency Percent

ST 4 8.0

SC 8 16.0

OBC 14 28.0

OC 24 48.0

Total 50 100.0

The above table views the caste distribution among the teachers, about 48%of teachers were from OC, 28% were OBC, 16% were SC, and 8% were ST.




to their educational qualification.

Table – V

n = 50

Educational

qualificationFrequency Percent

Degree/ Graduation 19 38.0

Post Graduation 22 44.0

PG with B.Ed 5 10.0

PG with M.Ed 2 4.0

Ph.D 2 4.0

Total 50 100.0

The above table represents that most of the teachers about 44% had done

post graduation, 38% had done graduation, 10% had done PG with B.Ed,

and 4% had completed both PG with M.Ed and Ph.D.




to their marital status.

Table – VI

n = 50

Marital status Frequency Percent

Unmarried 8 16.0

Married 39 78.0

Widowed 2 4.0

Divorced 1 2.0

Total 50 100.0

The above table interprets that major proportion of teachers were marriedand a lower proportion were widowed (i.e. 4%) and divorced (i.e. 2%).

About 16% teachers were unmarried.




to their type of family.

Table – VII

n = 50

Type of family Frequency Percent

Nucleolus Family 39 78.0

Joint Family 10 20.0

Extended Family 1 2.0

Total 50 100.0

The above table views that nuclear family; occupy a major proportion

of 78.0%, followed by joint family, with 20.0%, and the least being extended

family with 2.0%.




to their family income.

Table – VIII

n = 50

Family income Frequency Percent

Below Rs.5000/- 2 4.0

Rs.5000/- - Rs.10,000/- 4 8.0

Rs.10,001/- - Rs.15,000/- 10 20.0

Rs.15,001/- and above 34 68.0

Total 50 100.0

The above table describes that more than half of the teachers i.e. 68% were

from family income from Rs.15, 001/- and above, 20% were from family

income between Rs.10, 001/- - Rs.15, 000/-, followed by8% teachers family

income of Rs.5000/- - Rs.10, 000/-and the least 4% belonged to family

income below Rs.5000/-.




to their history of breast cancer in the family.

Table – IX

n = 50

History of breast cancer in the

family Frequency Percent

Yes 5 10.0

No 45 90.0

Total 50 100.0

The above table represents that major portion i.e. 45 teachers had no family

history of breast cancer, while 5 teachers had family history of breast cancer.




to their number of children.

Table – X

n = 50

Number of children Frequency Percent

Don't have children 4 8.0

One child 21 42.0

More than 2 children 25 50.0

Total 50 100.0

The above table illustrates that half of the teachers had more than 2 children,

less than half i.e. 42% had single child and very few i.e. 8% had no children.




to their known personal history of breast cancer.

Table – XI

n = 50

known personal history of breast

cancer Frequency Percent

Yes 5 10

No 45 90.0

Total 50 100.0

The above table depicts that among 50 teachers, 5 teachers had known their

personal history of breast cancer, whereas 45 had not known their personal

history of breast cancer.




to their menstrual status.

Table – XII

n = 50

Menstrual status Frequency Percent

Regular menstrual cycles 27 54.0

Irregular menstrual cycles 20 40.0

Absence of menstrual cycles(Menopause)

3 6.0

Total 50 100.0

The above table shows that major proportion i.e. 54% teachers had regular

menstrual cycles, followed by 40% teachers had irregular menstrual cycles,

and the least being 6% were in menopause.




to their use of contraceptive drugs.

Table – XIII

n = 50

Contraceptive drugs Frequency Percent

Yes 15 30.0

No 35 70.0

Total 50 100.0

The above table views that more than half i.e. 70% teachers did not use

contraceptive drugs and less than half i.e. 30% teachers had used

contraceptive drugs.




to their source of information regarding breast cancer.

Table – XIV

n = 50

Source of information regarding

breast cancerFrequency Percent

Through friends 9 18.0

Family members 1 2.0

Through newspapers and magazines 21 42.0

Television and internet 14 28.0

Through health care personnel 5 10.0

Total 50 100.0

The above table shows that most of the teachers (i.e. 21) got information

through newspapers and magazines, followed by 14 teachers from television

and internet, 9 teachers information source was through friends, 5 teachers

through health care personnel, and the least i.e. one teachers source of

information was from family members.



SECTION II

This section deals with the analysis of knowledge and practice scores of

nurses regarding documentation of patient care in terms of mean andstandard deviation according to selected variables.

TABLE – XV

n = 50

SECTION III

This section presents the findings on the relationship between the

knowledge of teachers regarding breast cancer with selected demographic

variables.The null hypotheses for knowledge, were formulated as follows:

H01: There will be no significant association between the age of teachers and

their knowledge about “breast cancer”.

H02: There will be no significant association between the religion of teachers

and their knowledge about “breast cancer”.

H03: There will be no significant association between the caste of teachersand their knowledge about “breast cancer”.

H04: There will be no significant association between the type of school and

their knowledge about “breast cancer”.

H05: There will be no significant association between the educational

qualification of teachers and their knowledge about “breast cancer”.

H06: There will be no significant association between the marital status of

teachers and their knowledge about “ breast cancer ”.

H07: There will be no significant association between the type of family of


H08: There will be no significant association between the family income of




H09: There will be no significant association between the history of breast

cancer in the family and their knowledge about “ breast cancer ”.

H010: There will be no significant association between the number of

children of teachers and their knowledge about “ breast cancer ”.

H011: There will be no significant association between the known personal

history of breast cancer of teachers and their knowledge about “breast

cancer”.

H012: There will be no significant association between the menstrual status

of teachers and their knowledge about “breast cancer”.

H013: There will be no significant association between the use of oral

contraceptive drugs of teachers and their knowledge about “breast cancer”.

H014: There will be no significant association between the source of

knowledge of teachers and their knowledge about “breast cancer”.

TABLE - 14

Below table represents the Chi-square association of selected demographic

variables with the knowledge scores regarding “breast cancer” among

teachers.

n = 50

Variables 2 Value2 Value at 5%

level DF

Age (H01)3.831(NS) 12.59 (6 DF)

Religion (H02)6.127 (NS) 9.49 (4 DF)

Caste (H03)4.713 (NS) 12.59 (6 DF)

Type of school (H04)4.619 (NS) 5.99 (2 DF)

Educational qualification (H05)27.657* 15.51 (8 DF)

Marital status (H06)29.863 * 12.59 (6 DF)



Type of family (H07)55.652 * 9.49 (4 DF)

Family income (H08)5.707 (NS) 12.59 (6 DF)

History of breast cancer in the family(H09)

1.323 (NS) 5.99 (2DF)

Number of children (H010) 9.590* 9.49 (4 DF)

Personal history of breast cancer

(H011)

55.481* 12.59 (6 DF)

Menstrual status (H012) 4.939 (NS) 9.49 (4 DF)

Use of oral contraceptive drugs (H013) 2.778 (NS) 5.99 (2DF)

Source of knowledge (H014) 13.360 (NS) 15.51 (8 DF)

NS - not significant at 0.05%level of significance

* - significant at 0.05%level of significance

DF - degrees of freedom

The above table shows that Chi – square values of teachers knowledgeregarding breast cancer with selected variables, type of family (2 =

55.652), educational qualification (2 = 27.657), marital status (2 =

29.863), number of children (2 = 9.593), known personal history of breast

cancer (2 = 51.481), were found significant at 5% level of significance.

Hence, there was significant relationship between the knowledge of

teachers regarding breast cancer and their type of family, educational

qualification, marital status, number of children, and known personal history

of breast cancer.

Hence, researcher rejected the null hypotheses i.e. H05, H06, H07, H010,

H011, and accepted research hypotheses for the same variables.

The chi – square values of teachers knowledge regarding breast cancer

with selected variables, age(2 = 3.831) religion (2 = 6.127), caste (2 =



4.712), type of school (2 = 4.619), family income (2 = 5.707), history of

breast cancer in the family (2 = 1.323), menstrual status (2 = 4.939), oral

contraceptive drugs (2 = 2.778), source of knowledge (2 = 13.360), were

not significant at 0.05%level of significance.

Therefore the researcher has accepted the null hypothesis H01. H02,

H03, H04, H08, H09, H012, H013,and H014. Their by researcher has rejected the

research hypothesis for the same variables.



SECTION II

This section deals with the analysis of knowledge and practice scores of

nurses regarding documentation of patient care in terms of mean andstandard deviation according to selected variables.

TABLE – XV

n = 50

SECTION III

This section presents the findings on the relationship between the

practices of teachers regarding breast cancer with selected demographicvariables.

The null hypotheses for practices, were formulated as follows:

H01: There will be no significant association between the age of teachers and

their practices about “breast cancer”.

H02: There will be no significant association between the religion of teachers

and their practices about “breast cancer”. H03: There will be no significant association between the caste of teachers

and their practices about “breast cancer”.

H04: There will be no significant association between the type of school and

their practices about “breast cancer”.

H05: There will be no significant association between the educational

qualification of teachers and their practices about “breast cancer”.

H06: There will be no significant association between the marital status of teachers and their practices about “breast cancer”.

H07: There will be no significant association between the type of family of

teachers and their practices about “breast cancer”.

H08: There will be no significant association between the family income of

teachers and their practices about “breast cancer”.



H09: There will be no significant association between the history of breast

cancer in the family and their practices about “breast cancer”.

H010: There will be no significant association between the number of

children of teachers and their practices about “breast cancer”.

H011: There will be no significant association between the known personal

history of breast cancer of teachers and their practices about “breast cancer”.

H012: There will be no significant association between the menstrual status

of teachers and their practices about “breast cancer”.

H013: There will be no significant association between the use of oral

contraceptive drugs of teachers and their practices about “breast cancer”.

H014: There will be no significant association between the source of

knowledge of teachers and their practices about “breast cancer”.

TABLE - 14

Below table represents the Chi-square association of selected demographic

variables with the knowledge scores regarding “breast cancer” among

teachers.

n = 50

Variables 2 Value2 Value at 5%

level DF

Age (H01)3.831(NS) 12.59 (6 DF)

Religion (H02)6.127 (NS) 9.49 (4 DF)

Caste (H03)4.713 (NS) 12.59 (6 DF)

Type of school (H04) 4.619 (NS) 5.99 (2 DF)

Educational qualification (H05)27.657* 15.51 (8 DF)

Marital status (H06)29.863 * 12.59 (6 DF)

Type of family (H07)55.652 * 9.49 (4 DF)



Family income (H08)5.707 (NS) 12.59 (6 DF)

History of breast cancer in the family

(H09)

1.323 (NS) 5.99 (2DF)

Number of children (H010) 9.590* 9.49 (4 DF)

Personal history of breast cancer

(H011)

55.481* 12.59 (6 DF)

Menstrual status (H012) 4.939 (NS) 9.49 (4 DF)

Use of oral contraceptive drugs (H013) 2.778 (NS) 5.99 (2DF)

Source of knowledge (H014) 13.360 (NS) 15.51 (8 DF)

NS - not significant at 0.05%level of significance

* - significant at 0.05%level of significance

DF - degrees of freedom

The above table shows that Chi – square values of teachers knowledge

regarding breast cancer with selected variables, type of family (2 =

55.652), educational qualification (2 = 27.657), marital status (2 =

29.863), number of children (2 = 9.593), known personal history of breast

cancer (2 = 51.481), were found significant at 5% level of significance.

Hence, there was significant relationship between the knowledge of

teachers regarding breast cancer and their type of family, educational

qualification, marital status, number of children, and known personal history

of breast cancer.

Hence, researcher rejected the null hypotheses i.e. H05, H06, H07, H010,

H011, and accepted research hypotheses for the same variables.

The chi – square values of teachers knowledge regarding breast cancer

with selected variables, age(2 = 3.831) religion (2 = 6.127), caste (2 =

4.712), type of school (2 = 4.619), family income (2 = 5.707), history of

breast cancer in the family (2 = 1.323), menstrual status (2 = 4.939), oral



contraceptive drugs (2 = 2.778), source of knowledge (2 = 13.360), were

not significant at 0.05%level of significance.

Therefore the researcher has accepted the null hypothesis H01. H02,

H03, H04, H08, H09, H012, H013,and H014. Their by researcher has rejected the

research hypothesis for the same variables.

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