Association between Serum Vitamin A, Blood Lipid Level and Dyslipidemia among Chinese Children and Adolescents

• Published in: Nutrients 2022-03, Vol.14 (7), p.1444
• Main Authors: Yu, Lianlong, Wang, Yongjun, Yu, Dongmei, Zhang, Shixiu, Zheng, Fengjia, Ding, Ning, Zhu, Lichao, Zhu, Qianrang, Sun, Wenkui, Li, Suyun, Zhang, Gaohui, Chen, Liangxia, Liu, Yiya, Yang, Li, Feng, Jian
• Format: Article
• Language: English
• Subjects: Adolescent; Adolescents; Age; Blood; Child; Children; China - epidemiology; Cholesterol; Cholesterol, HDL; Correlation; Creatinine; Diet; Disease control; Disease prevention; Dyslipidemia; Dyslipidemias - etiology; Generalized linear models; Hemoglobin; High density lipoprotein; Humans; Hypercholesterolemia; Hyperlipidemia; Hyperlipidemia, Familial Combined; Hypertriglyceridemia; Hypertriglyceridemia - complications; Lipids; Lipoproteins; Lipoproteins, HDL; Low density lipoprotein; Medical laboratories; Metabolic disorders; Metabolism; Metabolites; Nutrition research; Plasma; Proteins; Quality control; Questionnaires; Retinene; Risk analysis; Risk Factors; Sampling methods; Schools; Statistical models; Teenagers; Triglycerides; Uric acid; Vitamin A; Working groups
• ISSN: 2072-6643; 2072-6643
• DOI: 10.3390/nu14071444

Background: To study the relationship between serum vitamin A (VA) level and blood lipid profiles in children and adolescents aged 6−18 years, as well as the effect of VA on dyslipidemia. Methods: The project adopted a multistage stratified cluster sampling method. The Food Frequency Questionnaire (FFQ) was used to obtain dietary factors data. Blood samples of subjects were taken via venipuncture. Generalized linear models were used to explore the correlation be-tween VA and biochemical indicators, as well as stratified and inter-actions analysis to explore the influence of confounders on these relationships. Generalized linear models were constructed to explore the association between VA and blood lipids. Restricted cubic splines were used to characterize dose−response associations between serum VA and dyslipidemia based on logistic regression. Results: Serum VA was positively correlated with TC, TG and HDL-C (p < 0.05), but these associations were influenced by age (p < 0.05). The adjusted odds ratio (OR) values of VA for hypercho lesterolemia, hypertriglyceridemia, mixed hyperlipidemia and low high-density lipoprotein cholesterolemia were 3.283, 3.239, 5.219 and 0.346, respectively (p < 0.01). Meanwhile, significant age interactions affected the relationship between VA and TC, as well as TG and LDL-C (p < 0.01). Conclusion: Serum VA was positively correlated with blood lipids, but these associations were influenced by age. VA was a risk factor for dyslipidemias, such as hypercholesterolemia, hypertriglyceridemia and mixed hyperlipidemia, but was a protective factor for low high-density lipoprotein cholesterolemia.