Healthy eating behaviors of girl children using clustering techniques: A questionnaire study

Author:

Thirumalaiselvi R.1,Gomathi D.1

Affiliation:

1. Government Arts College for Men

Abstract

Nutritional options and early life consuming behavior has marked as foremost dietary status of girl little ones. The goal of the look at turned into to discover consuming behavior of 10 – 20 age of girl children the usage of lady toddler consuming conduct Questionnaire. Matched questionnaires describing pronounced snack intake, consuming motivations and wholesome eating regimen were finished by way of one hundred girl infant. By way of being a high-quality position model for your developing girl infant, you may set an instance of wholesome dietary conduct. This examines targeted on standards of ingesting behavior of woman baby and to explain and analyze the content of food intake information's through Google paperwork. Series and evaluation of information have been furnished thru analyzing the content of paperwork approximately eating behavior, particularly fresh fruit, seafood, milk, vegetables, and proteins & calories. Using Google paperwork, a complete of one hundred precise forms had been retrieved and analyzed by making use of data mining strategies and cluster analysis. The findings of this look at found out that girl infant of their answers tended to explain eating conditions, and food habits, as well as to express emotions towards food items. This looks at additionally provides idea towards the food regimen and health-associated behavior trade for preventing the healthy consuming behavior for girl infant in puberty time in addition to enhancing the health circumstance. The outcomes of this look at may be used as a recommendation in the direction of the measurement of ingesting behavior coping with health of the woman child the use of Two step cluster, k means cluster and hierarchical clustering evaluation in IBM SPSS (Statistical Package for the Social Sciences) Statistics 21.0.

Publisher

i-manager Publications

Subject

Materials Chemistry,Economics and Econometrics,Media Technology,Forestry

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