Effectiveness of Peer Mediated Teaching on Knowledge Regarding Healthy Habits and Its Importance Among 10-12 Years of School Childrens

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INTRODUCTION
Good health is closely linked to good maintenance of personal hygiene.It is crucial for children to learn the importance of personal hygiene to avoid the spread of common illnesses.A strong foundation of personal hygiene habits will help the children in a long way in their life journey.Good hygiene practices will help to keep one healthy, give us confidence and be pleasant for those around us.A well maintained personal hygiene assures of projecting a positive body image that reflects our personalities.Children should be taught the importance of hygiene and how to achieve good hygiene very early to keep themselves and others healthy, and reduce the risk of acquiring infection from the environment.Good personal hygiene is one of the most effective ways to prevent the development and spread of infection.Well maintained personal hygiene in health care environment includes many aspects like personal, social, psychological and simple way of healthy life.Keeping a good standard of hygiene helps to prevent the development and spread of infections, illnesses and bad odors.Health problems can develop as a result of poor personal hygiene.Body image influences self-esteem, self-confidence and motivation.Those who already have low self-esteem and especially those with depression often neglect personal hygiene which perpetuates the problem of poor body image.The peer mediated teaching based learning is most effective to improve the knowledge regarding healthy habits among school children.

STATEMENT OF THE PROBLEM "A STUDY TO ASSESS THE EFFECTIVENESS OF PEER MEDIATED TEACHING ON KNOWLEDGE REGARDING HEALTHY HABITS AND ITS IMPORTANCE AMONG 10-12 YEARS OF SCHOOL CHILDRENS IN A SELECTED SCHOOL OF RURAL AREA AT. TAPI DISTRICT, GUJARAT."
OBJECTIVES OF THE STUDY 1.To assess the knowledge on healthy habits and its importance among 10-12 years of school children's.2. To determine the effectiveness of peer mediated teaching on the knowledge regarding healthy habits and its importance among 10-12 years of school children's.3. To associate the knowledge regarding healthy habits and its importance among 10-12 years of school children's with their selected demographic variables.

HYPOTHESES
H1: There will be significant difference between pre-test and post-test knowledge scores of 10-12 years of school children's regarding healthy habits and its importance.H2: There will be a significant association between the level of knowledge of 10-12 years of school children's regarding healthy habits and its importance and their selected demographic variables.

ASSUMPTION
1. School children's may have some knowledge on healthy habits and its importance.
2. Knowledge will vary from individual to individual.
3. Peer mediated teaching may have some effect on the knowledge of healthy habits and its importance

Exclusion criteria
The criteria or standards, set out before a study or review.Exclusion criteria are used to determine whether the subjects can participate in a research study or whether an individual study can be included in a systematic review.Exclusion criteria help to identify suitable participants.
• Some children's are not willing to participate in the study

DESCRIPTIONOFTHE TOOL
Section -A: Distribution of Demographic Variables Section -B: Structured Knowledge Questionnaire on Healthy Habits and its importance

Age of child
The above table shows that the calculated value of Chi-square (12.024) was more than the tabulated value of chi-square (9.49) so it was statistically significant at 0.05 level of significance.Thus, the above table depicts that there was significant association between age and the knowledge of the samples.

Gender
The above table shows that the calculated value of Chi-square (7.515) was more than the tabulated value of chi-square (5.99) so it was statistically significant at 0.05 level of significance.Thus, the above table depicts that there was significant association between gender and the knowledge of the samples.

Standard
The above table shows that the calculated value of Chi-square (9.425) was less than the tabulated value of chi-square (9.49) so it was statistically not significant at 0.05 level of significance.Thus, the above table depicts that there was not significant association between standard and the knowledge of the samples.

Religion
The above table shows that the calculated value of Chi-square (1.832) was less than the tabulated value of chi-square (9.49) so it was statistically not significant at 0.05 level of significance.Thus, the above table depicts that there was not significant association between religion and the knowledge of the samples.

Education of the father
The above table shows that the calculated value of Chi-square (1.528) was less than the tabulated value (12.59) of chi-square so it was statistically not significant at 0.05 level of significance.Thus, the above table depicts that there was not significant association between education of the father and the knowledge of the samples.

Education of the mother
The above table shows that the calculated value of Chi-square (2.849) was less than the tabulated value (15.51) of chi-square so it was statistically not significant at 0.05 level of significance.Thus, the above table depicts that there was not significant association between education of the mother and the knowledge of the samples.

Occupation of the father
The above table shows that the calculated value of Chi-square (1.752) was less than the tabulated value (18.31) of chi-square so it was statistically not significant at 0.05 level of significance.Thus, the above table depicts that there was not significant association between occupation of the father and the knowledge of the samples.

Occupation of the mother
The above table shows that the calculated value of Chi-square (11.258) was less than the tabulated value (18.31) of chi-square so it was statistically not significant at 0.05 level of significance.Thus, the above table depicts that there was not significant association between occupation of the mother and the knowledge of the samples.

Family monthly income
The above table shows that the calculated value of Chi-square (5.261) was less than the tabulated value (12.59) of chi-square so it was statistically not significant at 0.05 level of significance.Thus, the above table depicts that there was not significant association between family monthly income and the knowledge of the samples.

Number of children in the family
The above table shows that the calculated value of Chi-square (1.795) was less than the tabulated value (9.49) of chi-square so it was statistically not significant at 0.05 level of significance.Thus, the above table depicts that there was not significant association between number of children in the family and the knowledge of the samples.

Type of the family
The above table shows that the calculated value of Chi-square (9.49) was less than the tabulated value (9.49) of chi-square so it was statistically not significant at 0.05 level of significance.Thus, the above table depicts that there was not significant association between type of the family and the knowledge of the samples.

DISCUSSION
Several researchhavebeencarriedouttoassess the effectiveness of peer mediated teaching on knowledge regarding healthy habits and its importance among school children's.This chapter outlines the key discoveries derived from this study, which were based on the objectives,framework, and hypothesis that led the research.The objective of the study was to ascertain the efficacy ofpeer mediated teaching on knowledge regarding healthy habits and its importance among school children's.
Figure shows the pre-test and post-test knowledge mean score

SampleSize:60 sample SamplingTechniques:Non-probability convenience sampling technique Inclusion criteria The
criteria or standards, set out before a study or review.Inclusion criteria are used to determine whether the subjects can participate in a research study or whether an individual study can be included in a systematic review.Inclusion criteria help identify suitable participants.
• Children between 10 -12 years of age • Available during data collection period • Willing to participate in the study