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Cross-cultural Adaptation and Validation of the Short Nutritional Literacy Scale for Young Adults (18-35years) and Analysis of the Influencing Factors

Overview
Publisher Biomed Central
Specialty Public Health
Date 2024 Aug 8
PMID 39118062
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Abstract

Objectives: This study translated the short nutrition literacy scale for young adults (18-35 years) into Chinese, examined its reliability and validity, and analyzed its influencing factors.

Methods: The scale was translated using a modified Brislin translation model. A convenience sample of 508 cases was selected for the survey. Content validity, structural validity, Cronbach's alpha coefficient, and test-retest reliability were used to evaluate the scale's reliability and validity. To screen the factors influencing nutrition literacy in young people.

Results: The Chinese version of the Item-Level Content Validity Index (I-CVI) was 0.833 ~ 1, and the Scale-Level Content Validity Index/Average (S-CVI/Ave) was 0.908. The cumulative variance contribution of the scale was 51.029%, and the model was generally well-fitted. The Cronbach's alpha coefficient and retest reliability of the scale were 0.826 and 0.818. The results showed that the level of education, mother's education, nutrition-related courses, and frequency of attention to nutritional health information were the factors influencing the nutritional literacy of young people.

Conclusion: The Chinese version of the S-NutLit Scale can effectively assess the nutrients of young Chinese people. Low levels of education, low levels of education of mothers, lack of exposure to nutrition-related courses, and low frequency of attention to nutritional health information can lead to lower levels of nutritional literacy among young people.

References
1.
Huang L, Wang Z, Wang H, Zhao L, Jiang H, Zhang B . Nutrition transition and related health challenges over decades in China. Eur J Clin Nutr. 2020; 75(2):247-252. DOI: 10.1038/s41430-020-0674-8. View

2.
Akbari F, Azadbakht L . A systematic review on diet quality among Iranian youth: focusing on reports from Tehran and Isfahan. Arch Iran Med. 2014; 17(8):574-84. DOI: 014178/AIM.0010. View

3.
Rounsefell K, Gibson S, McLean S, Blair M, Molenaar A, Brennan L . Social media, body image and food choices in healthy young adults: A mixed methods systematic review. Nutr Diet. 2019; 77(1):19-40. PMC: 7384161. DOI: 10.1111/1747-0080.12581. View

4.
Taylor M, Sullivan D, Ellerbeck E, Gajewski B, Gibbs H . Nutrition literacy predicts adherence to healthy/unhealthy diet patterns in adults with a nutrition-related chronic condition. Public Health Nutr. 2019; 22(12):2157-2169. PMC: 6827561. DOI: 10.1017/S1368980019001289. View

5.
Nochaiwong S, Ruengorn C, Awiphan R, Panyathong S, Noppakun K, Chongruksut W . Development of a multidimensional assessment tool for uraemic pruritus: Uraemic Pruritus in Dialysis Patients (UP-Dial). Br J Dermatol. 2016; 176(6):1516-1524. DOI: 10.1111/bjd.15268. View