B. Başpinar, Nazlı Nur Aslan-Çin, Ayşe Özfer Özçelik
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A one-unit increase in CN score resulted in a 26.7% increase in snack consumption adjusted for age, sex, educational level, body mass index (BMI), smoking, alcohol consumption, and activity physical (PA)( p < 0.001). The evaluation of the PN score was related to the main meals (β = 0.065±0.013; 95% CI 0.04–0.09; p < 0.001), snack consumption (β = 0.029±0.014, 95% CI 0.01–0.06; p < 0.05), and total quality of diet (β = 0.894±0.329; 95% CI 0.24–1.54; p < 0.05). Additionally, about 17% of the variability in the PN score could be explained by CN scores. Conclusions: Elevated NC was associated with an increase in BW scores and indirectly with an increase in diet quality. In order to see the beneficial effects of PA on health, people must rely on a healthy diet, increasing your CN.","PeriodicalId":33139,"journal":{"name":"Revista de la Facultad de Medicina Humana","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Is diet quality affected by nutritional knowledge and practices in individuals doing regular physical activity?: A cross-sectional study\",\"authors\":\"B. Başpinar, Nazlı Nur Aslan-Çin, Ayşe Özfer Özçelik\",\"doi\":\"10.25176/rfmh.v23i2.5638\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background: This study aimed to determine the relationship between diet quality and nutrition knowledge (CN) and nutrition practices (NP) of people who perform physical activity (PA) regularly. Methods: Two hundred healthy individuals who attended the gym at least three times a week were studied. The quality of the diet is calculated using the Healthy Eating Index-2015 (HEI-2015). Linear regression models were used multiplex to assess associations between NC and PN scores and dietary variables. Results: Of the participants, 47.0% had poor NC and 48.0% had poor NP. It was determined that the PN scores were significantly associated with whole grain, seafood, and herbal protein and quality total diet (p < 0.05), while CN scores were not associated with the quality of the diet or its components (p > 0.05). A one-unit increase in CN score resulted in a 26.7% increase in snack consumption adjusted for age, sex, educational level, body mass index (BMI), smoking, alcohol consumption, and activity physical (PA)( p < 0.001). The evaluation of the PN score was related to the main meals (β = 0.065±0.013; 95% CI 0.04–0.09; p < 0.001), snack consumption (β = 0.029±0.014, 95% CI 0.01–0.06; p < 0.05), and total quality of diet (β = 0.894±0.329; 95% CI 0.24–1.54; p < 0.05). Additionally, about 17% of the variability in the PN score could be explained by CN scores. Conclusions: Elevated NC was associated with an increase in BW scores and indirectly with an increase in diet quality. 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引用次数: 0
摘要
背景:本研究旨在了解经常进行体育锻炼(PA)者的饮食质量与营养知识(CN)和营养实践(NP)之间的关系。方法:研究了200名每周至少参加三次健身房的健康人。饮食质量采用健康饮食指数-2015 (HEI-2015)计算。多元线性回归模型用于评估NC和PN评分与饮食变量之间的关系。结果:47.0%的参与者NC较差,48.0%的参与者NP较差。结果表明,PN评分与全谷物、海产品和草本植物蛋白及饲粮质量显著相关(p < 0.05),而CN评分与饲粮及其组分的质量无关(p < 0.05)。CN评分每增加一个单位,经年龄、性别、教育水平、体重指数(BMI)、吸烟、饮酒和体力活动(PA)调整后的零食消费增加26.7% (p < 0.001)。PN评分的评价与正餐有关(β = 0.065±0.013;95% ci 0.04-0.09;p < 0.001),零食消费(β = 0.029±0.014,95% CI 0.01-0.06;P < 0.05),日粮总质量(β = 0.894±0.329;95% ci 0.24-1.54;P < 0.05)。此外,大约17%的PN评分变异性可以用CN评分来解释。结论:NC升高与体重评分的增加有关,并间接与饮食质量的提高有关。为了看到PA对健康的有益作用,人们必须依靠健康的饮食,增加你的CN。
Is diet quality affected by nutritional knowledge and practices in individuals doing regular physical activity?: A cross-sectional study
Background: This study aimed to determine the relationship between diet quality and nutrition knowledge (CN) and nutrition practices (NP) of people who perform physical activity (PA) regularly. Methods: Two hundred healthy individuals who attended the gym at least three times a week were studied. The quality of the diet is calculated using the Healthy Eating Index-2015 (HEI-2015). Linear regression models were used multiplex to assess associations between NC and PN scores and dietary variables. Results: Of the participants, 47.0% had poor NC and 48.0% had poor NP. It was determined that the PN scores were significantly associated with whole grain, seafood, and herbal protein and quality total diet (p < 0.05), while CN scores were not associated with the quality of the diet or its components (p > 0.05). A one-unit increase in CN score resulted in a 26.7% increase in snack consumption adjusted for age, sex, educational level, body mass index (BMI), smoking, alcohol consumption, and activity physical (PA)( p < 0.001). The evaluation of the PN score was related to the main meals (β = 0.065±0.013; 95% CI 0.04–0.09; p < 0.001), snack consumption (β = 0.029±0.014, 95% CI 0.01–0.06; p < 0.05), and total quality of diet (β = 0.894±0.329; 95% CI 0.24–1.54; p < 0.05). Additionally, about 17% of the variability in the PN score could be explained by CN scores. Conclusions: Elevated NC was associated with an increase in BW scores and indirectly with an increase in diet quality. In order to see the beneficial effects of PA on health, people must rely on a healthy diet, increasing your CN.