İzzet Ülker, Muhammet Ali Aydin, Metin Yildiz, Gönül Gökçay, Ayşe Elkoca, Mehmet Salih Yildirim, Abraham Tanimowo, Dursun Alper Yilmaz
{"title":"青少年对微生物群的认识、营养知识和健康知识之间的关系。","authors":"İzzet Ülker, Muhammet Ali Aydin, Metin Yildiz, Gönül Gökçay, Ayşe Elkoca, Mehmet Salih Yildirim, Abraham Tanimowo, Dursun Alper Yilmaz","doi":"10.55730/1300-0144.5871","DOIUrl":null,"url":null,"abstract":"<p><strong>Background/aim: </strong>Microbiota awareness, nutritional literacy, and health literacy levels in adolescents have a significant impact on their health and well-being. This research was conducted to examine the relationship between microbiota awareness, nutrition literacy, and health literacy in adolescents.</p><p><strong>Material and methods: </strong>This research was structured with a descriptive-correlational design. The study population comprised adolescents aged 10-19 years, living in Türkiye (n = 739), between June 2022 and February 2024. Data were analyzed using SPSS 22.0, G*Power 3.1, and R programming language 4.1.3.</p><p><strong>Results: </strong>The total effect of the health literacy variable on nutritional literacy was 0.2311, and this was statistically significant at a 95% confidence interval (CI) (p < 0.05). In terms of the health literacy variable, the direct effect of the nutrition literacy variable on the microbiota awareness variable was 0.2888, and this was statistically significant at the 95% CI (p < 0.05). In terms of the nutritional literacy variable, the direct effect of the health literacy variable on the microbiota awareness variable was 0.1707, and this was statistically significant at the 95% CI (p < 0.05). Nutrition literacy had a partial mediating role in the effect of health literacy on microbiota awareness (lower limit CI: 0.045; upper limit CI: 0.0894). The most accurate prediction of machine learning approaches to predict microbiota awareness was made with random forest with shapley additive explanations values, and the most important variable that should be in the model to predict the microbiota awareness variable was the nutrition literacy variable.</p><p><strong>Conclusion: </strong>Microbiota awareness increased as health literacy and nutrition literacy increased. In the machine learning approach prediction, the most important variables affecting microbiota awareness were health literacy and nutritional literacy. Longitudinal studies on microbiota awareness are recommended.</p>","PeriodicalId":1,"journal":{"name":"Accounts of Chemical Research","volume":null,"pages":null},"PeriodicalIF":16.4000,"publicationDate":"2024-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11518376/pdf/","citationCount":"0","resultStr":"{\"title\":\"Relationship between microbiota awareness, nutrition literacy, and health literacy among adolescents.\",\"authors\":\"İzzet Ülker, Muhammet Ali Aydin, Metin Yildiz, Gönül Gökçay, Ayşe Elkoca, Mehmet Salih Yildirim, Abraham Tanimowo, Dursun Alper Yilmaz\",\"doi\":\"10.55730/1300-0144.5871\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background/aim: </strong>Microbiota awareness, nutritional literacy, and health literacy levels in adolescents have a significant impact on their health and well-being. This research was conducted to examine the relationship between microbiota awareness, nutrition literacy, and health literacy in adolescents.</p><p><strong>Material and methods: </strong>This research was structured with a descriptive-correlational design. The study population comprised adolescents aged 10-19 years, living in Türkiye (n = 739), between June 2022 and February 2024. Data were analyzed using SPSS 22.0, G*Power 3.1, and R programming language 4.1.3.</p><p><strong>Results: </strong>The total effect of the health literacy variable on nutritional literacy was 0.2311, and this was statistically significant at a 95% confidence interval (CI) (p < 0.05). In terms of the health literacy variable, the direct effect of the nutrition literacy variable on the microbiota awareness variable was 0.2888, and this was statistically significant at the 95% CI (p < 0.05). In terms of the nutritional literacy variable, the direct effect of the health literacy variable on the microbiota awareness variable was 0.1707, and this was statistically significant at the 95% CI (p < 0.05). Nutrition literacy had a partial mediating role in the effect of health literacy on microbiota awareness (lower limit CI: 0.045; upper limit CI: 0.0894). The most accurate prediction of machine learning approaches to predict microbiota awareness was made with random forest with shapley additive explanations values, and the most important variable that should be in the model to predict the microbiota awareness variable was the nutrition literacy variable.</p><p><strong>Conclusion: </strong>Microbiota awareness increased as health literacy and nutrition literacy increased. In the machine learning approach prediction, the most important variables affecting microbiota awareness were health literacy and nutritional literacy. Longitudinal studies on microbiota awareness are recommended.</p>\",\"PeriodicalId\":1,\"journal\":{\"name\":\"Accounts of Chemical Research\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":16.4000,\"publicationDate\":\"2024-08-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11518376/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Accounts of Chemical Research\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.55730/1300-0144.5871\",\"RegionNum\":1,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accounts of Chemical Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.55730/1300-0144.5871","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
Relationship between microbiota awareness, nutrition literacy, and health literacy among adolescents.
Background/aim: Microbiota awareness, nutritional literacy, and health literacy levels in adolescents have a significant impact on their health and well-being. This research was conducted to examine the relationship between microbiota awareness, nutrition literacy, and health literacy in adolescents.
Material and methods: This research was structured with a descriptive-correlational design. The study population comprised adolescents aged 10-19 years, living in Türkiye (n = 739), between June 2022 and February 2024. Data were analyzed using SPSS 22.0, G*Power 3.1, and R programming language 4.1.3.
Results: The total effect of the health literacy variable on nutritional literacy was 0.2311, and this was statistically significant at a 95% confidence interval (CI) (p < 0.05). In terms of the health literacy variable, the direct effect of the nutrition literacy variable on the microbiota awareness variable was 0.2888, and this was statistically significant at the 95% CI (p < 0.05). In terms of the nutritional literacy variable, the direct effect of the health literacy variable on the microbiota awareness variable was 0.1707, and this was statistically significant at the 95% CI (p < 0.05). Nutrition literacy had a partial mediating role in the effect of health literacy on microbiota awareness (lower limit CI: 0.045; upper limit CI: 0.0894). The most accurate prediction of machine learning approaches to predict microbiota awareness was made with random forest with shapley additive explanations values, and the most important variable that should be in the model to predict the microbiota awareness variable was the nutrition literacy variable.
Conclusion: Microbiota awareness increased as health literacy and nutrition literacy increased. In the machine learning approach prediction, the most important variables affecting microbiota awareness were health literacy and nutritional literacy. Longitudinal studies on microbiota awareness are recommended.
期刊介绍：
Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance.
Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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