The Relationship between the Nutritional Status and Intelligence among the Children in Selected Schools, Bengaluru

Satya Lamichhane
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The modified conceptual framework for the present study was based on Fishbone model.\nAnthropometry measurement and cultural fair nonverbal intelligence test was used to collect the data from the study. The experts validated the tool for data collection and the reliability was established using test re-test method using Karl Pearson’s formula. Pilot study was conducted to determine the feasibility of the study following which the main study was done. Ethical and legal parameters were taken into consideration throughout the study. The main study was conducted Aryan presidency school, Nagarbhavi Bengaluru. Among children within age group 8-10.The data collected were analyzed and interpreted by using descriptive and inferential statistics.\nResult: The finding of the study showed that the finding of the study revealed that, the assessment of the nutritional by weight 51.5% (31) were in normal range, 21.7% (13) were mildly impaired, 5.0 % (3) were moderately impaired range and 21.7% (13) were severely impaired. The assessments of the nutritional status by height 73.3% (44) were in normal range, 16.7% (10) were mildly impaired, 10.0% (6) were moderately impaired range and no one were severely impaired. The assessment of the nutritional status by MUAC 76.7% (46) were in normal range, 23.3% (14) were Stunted and no one were Stunted and wasted. Intelligence level of the school children 10.0% (6) were very superior, 3.3% were superior, 16.7% (10) were high average, 56.7% (34) were average, 10.0% were low average, 1.7% (1) was borderline and 1.7% (1) was extremely low. The finding of intelligence test -1, the range was 1-12, Mean was 7.6, Standard deviation was 2.59 and Mean percentage was 63.33. With regard to test -2, the Range was 4-13, Mean was 7.8, SD was 2.31 and Mean percentage was 55.7. With regard to test-3 Range was 1-11, Mean was 6.8, SD was 2.34 and Mean percentage was 56.7. With regards to test -4 the Range was 0-8, Mean was 2.98, SD was 1.87 and Mean percentage was 37.3. The overall score of the intelligence Range was 13-39, Mean was 25.2, SD was 6.23 and Mean percentage was 54.8. Correlation between height and intelligence (r=0.344), weight and intelligence (r=0.397) and MUAC and intelligence (r=0.352) among the children. Hence, there is a positive correlation between the nutritional status and intelligent among children. Chi square test was used to find the association between nutritional status and intelligence among the school children with their selected demographic variables .the result of the Chi square analysis indicated that there is a significant association between the nutritional status and intelligence among school children with their selected demographic variables, such as nutritional status by weight and demographic variables among the school children and it was significant associate of type of family and Mother’s occupation, nutritional status by height and demographic variables among the school children and it was found significant associate of mother’s education, nutritional status by MUAC and demographic variables among the school children and it was significant associate of mother’s occupation, and intelligence level and demographic variables among the school children and it was significant associate of class studying.\nConclusion: The present study attempted to assess the relationship between the nutritional status and intelligence among the children and found that positive relationship was between the nutritional status and intelligence among the children within age 8-10 years.","PeriodicalId":427566,"journal":{"name":"Journal of Advanced Academic Research","volume":"81 3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Advanced Academic Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3126/jaar.v10i1.54618","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract

Background of the study Nutritional status is the condition of health of the individual as influenced by the utilization of the nutrient. It is concerned primarily with the part played the nutrients in body growth, development and maintenance. Good nutritional status means, maintaining a nutritional status that enables us to grow well and enjoy good health. Nutrition is a fundamental pillar of human life. Methods:  A Quantitative approach was used to assess the relationship between nutritional status and intelligence among the children. The research design adopted for the study was Non-experimental correlation research design. Sample of 60 schoolchildren were selected for the study using Probability –simple random sampling technique (lottery method). The modified conceptual framework for the present study was based on Fishbone model. Anthropometry measurement and cultural fair nonverbal intelligence test was used to collect the data from the study. The experts validated the tool for data collection and the reliability was established using test re-test method using Karl Pearson’s formula. Pilot study was conducted to determine the feasibility of the study following which the main study was done. Ethical and legal parameters were taken into consideration throughout the study. The main study was conducted Aryan presidency school, Nagarbhavi Bengaluru. Among children within age group 8-10.The data collected were analyzed and interpreted by using descriptive and inferential statistics. Result: The finding of the study showed that the finding of the study revealed that, the assessment of the nutritional by weight 51.5% (31) were in normal range, 21.7% (13) were mildly impaired, 5.0 % (3) were moderately impaired range and 21.7% (13) were severely impaired. The assessments of the nutritional status by height 73.3% (44) were in normal range, 16.7% (10) were mildly impaired, 10.0% (6) were moderately impaired range and no one were severely impaired. The assessment of the nutritional status by MUAC 76.7% (46) were in normal range, 23.3% (14) were Stunted and no one were Stunted and wasted. Intelligence level of the school children 10.0% (6) were very superior, 3.3% were superior, 16.7% (10) were high average, 56.7% (34) were average, 10.0% were low average, 1.7% (1) was borderline and 1.7% (1) was extremely low. The finding of intelligence test -1, the range was 1-12, Mean was 7.6, Standard deviation was 2.59 and Mean percentage was 63.33. With regard to test -2, the Range was 4-13, Mean was 7.8, SD was 2.31 and Mean percentage was 55.7. With regard to test-3 Range was 1-11, Mean was 6.8, SD was 2.34 and Mean percentage was 56.7. With regards to test -4 the Range was 0-8, Mean was 2.98, SD was 1.87 and Mean percentage was 37.3. The overall score of the intelligence Range was 13-39, Mean was 25.2, SD was 6.23 and Mean percentage was 54.8. Correlation between height and intelligence (r=0.344), weight and intelligence (r=0.397) and MUAC and intelligence (r=0.352) among the children. Hence, there is a positive correlation between the nutritional status and intelligent among children. Chi square test was used to find the association between nutritional status and intelligence among the school children with their selected demographic variables .the result of the Chi square analysis indicated that there is a significant association between the nutritional status and intelligence among school children with their selected demographic variables, such as nutritional status by weight and demographic variables among the school children and it was significant associate of type of family and Mother’s occupation, nutritional status by height and demographic variables among the school children and it was found significant associate of mother’s education, nutritional status by MUAC and demographic variables among the school children and it was significant associate of mother’s occupation, and intelligence level and demographic variables among the school children and it was significant associate of class studying. Conclusion: The present study attempted to assess the relationship between the nutritional status and intelligence among the children and found that positive relationship was between the nutritional status and intelligence among the children within age 8-10 years.
班加罗尔选定学校儿童营养状况与智力的关系
研究背景营养状况是受营养物质利用影响的个体健康状况。它主要关注营养物质在人体生长、发育和维持中所起的作用。良好的营养状况意味着保持一种营养状况,使我们能够茁壮成长,享受健康。营养是人类生活的基本支柱。方法:采用定量方法对儿童营养状况与智力的关系进行评估。本研究采用非实验相关研究设计。采用概率-简单随机抽样技术(摇号法)选取60名小学生作为研究对象。本研究的改进概念框架是基于鱼骨模型。采用人体测量法和文化公平非语言智力测验法收集研究数据。专家对数据收集工具进行了验证,并采用卡尔·皮尔森公式的测试再测试方法建立了可靠性。进行了初步研究以确定研究的可行性,然后进行了主要研究。在整个研究过程中都考虑到了伦理和法律因素。主要研究是在班加罗尔Nagarbhavi的雅利安校长学校进行的。在8-10岁的儿童中。采用描述性统计和推理统计对收集到的数据进行分析和解释。结果:研究结果表明,研究结果显示,51.5%(31人)的体重营养评估处于正常范围,21.7%(13人)为轻度受损,5.0%(3人)为中度受损,21.7%(13人)为重度受损。身高评价营养状况正常者44例(73.3%),轻度损害者10例(16.7%),中度损害者6例(10.0%),无严重损害者。76.7%(46例)营养状况处于正常范围,23.3%(14例)发育不良,无一例发育不良和消瘦。学龄儿童智力水平:非常优等者占10.0%(6人),优等者占3.3%,中高者占16.7%(10人),中等者占56.7%(34人),中低者占10.0%,边缘者占1.7%(1人),极低者占1.7%(1人)。智力测验结果-1,范围为1-12,均值为7.6,标准差为2.59,平均百分比为63.33。检验-2的Range为4-13,Mean为7.8,SD为2.31,Mean percentage为55.7。关于test-3, Range为1-11,Mean为6.8,SD为2.34,Mean percentage为56.7。检验-4的极差为0-8,均值为2.98,标准差为1.87,平均百分比为37.3。智商总分13 ~ 39分,平均25.2分,标准差6.23分,平均百分比为54.8分。儿童身高与智力(r=0.344)、体重与智力(r=0.397)、MUAC与智力(r=0.352)相关。因此,儿童的营养状况与智力之间存在正相关关系。卡方检验表明,营养状况和智力水平与所选人口统计变量之间存在显著的相关关系。比如营养状况由体重和人口统计变量决定这与家庭类型和母亲职业有显著关联,营养状况由身高和人口统计变量决定这与母亲受教育程度有显著关联,营养状况由MUAC和人口统计变量决定这与母亲职业有显著关联,学生的智力水平和人口统计学变量这与课堂学习有显著的联系。结论:本研究试图评估儿童营养状况与智力的关系,发现8-10岁儿童营养状况与智力呈正相关。
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