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":23361,"journal":{"name":"Turkish Journal of Medical Sciences","volume":"54 5","pages":"938-948"},"PeriodicalIF":1.2000,"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\":23361,\"journal\":{\"name\":\"Turkish Journal of Medical Sciences\",\"volume\":\"54 5\",\"pages\":\"938-948\"},\"PeriodicalIF\":1.2000,\"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\":\"Turkish Journal of Medical Sciences\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.55730/1300-0144.5871\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"MEDICINE, GENERAL & INTERNAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Turkish Journal of Medical Sciences","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.55730/1300-0144.5871","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"MEDICINE, GENERAL & INTERNAL","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:
Turkish Journal of Medical sciences is a peer-reviewed comprehensive resource that provides critical up-to-date information on the broad spectrum of general medical sciences. The Journal intended to publish original medical scientific papers regarding the priority based on the prominence, significance, and timeliness of the findings. However since the audience of the Journal is not limited to any subspeciality in a wide variety of medical disciplines, the papers focusing on the technical details of a given medical subspeciality may not be evaluated for publication.