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Seng KBH, Tan PY, Lim CC, Loganathan R, Lim YAL, Teng KT, Selvaduray KR, Mohd Johari SN, Mohd Ramli N. High prevalence of xerophthalmia linked to socio-demographic and nutritional factors among vitamin A-deficient rural primary schoolchildren in Malaysia. Nutr Res 2024; 131:14-26. [PMID: 39357258 DOI: 10.1016/j.nutres.2024.07.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2024] [Revised: 07/15/2024] [Accepted: 07/16/2024] [Indexed: 10/04/2024]
Abstract
Vitamin A deficiency (VAD) remains a major health issue in developing nations, contributing to preventable childhood blindness. However, there is lack of recent data on xerophthalmia, especially among school-aged children in Malaysia. We hypothesized that xerophthalmia persists among rural schoolchildren in Malaysia and potentially associated with socio-demographic status and malnutrition. We conducted a cross-sectional study on 596 schoolchildren (8-12 years) from ten rural primary schools located in five states across Malaysia. Children meeting the criteria for xerophthalmia assessment included those diagnosed with vitamin A deficiency (VAD) (plasma retinol < 0.70 µmol/L) and marginal VAD (plasma retinol 0.70 to < 1.05 µmol/L). The overall prevalence of xerophthalmia was 48.8%, with the most common ocular sign being conjunctival xerosis (38.9%). The occurrence of xerophthalmia was negatively associated with retinol-binding protein 4 (RPB4) (P=0.003), alpha-carotene (P=0.04), hemoglobin (P=0.004), weight (P=0.02), body mass index (BMI) (P=0.04) and WAZ (weight-for-age z-score) (P=0.04) status. Based on multivariate logistic regression analysis, a higher risk of xerophthalmia was observed in boys (Adjusted odd ratio [AOR]: 1.7, 95% confidence interval [CI]: 1.2-2.5) and Orang Asli (OA, indigenous) schoolchildren (AOR: 2.0, 95% CI: 1.3-3.0), while schoolchildren with overweight/obesity status (AOR: 0.5, 95% CI: 0.3-0.8) were associated with a reduced risk of xerophthalmia. The present study unveils a high prevalence of xerophthalmia among vitamin A-deficient primary schoolchildren in rural areas of Malaysia, especially among the indigenous community. The identified socio-demographic and nutritional factors associated to xerophthalmia would facilitate the implementation of more targeted interventions in addressing these issues.
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Affiliation(s)
- Katherine Boon Hwei Seng
- Department of Ophthalmology, Faculty of Medicine, Universiti Malaya, 50603, Kuala Lumpur, Malaysia
| | - Pei Yee Tan
- Product Development and Advisory Services Division, Malaysian Palm Oil Board, Bandar Baru Bangi, 43000, Kajang, Selangor, Malaysia; Department of Parasitology, Faculty of Medicine, Universiti Malaya, 50603, Kuala Lumpur, Malaysia
| | - Chuan Chun Lim
- Department of Ophthalmology, Faculty of Medicine, Universiti Malaya, 50603, Kuala Lumpur, Malaysia
| | - Radhika Loganathan
- Product Development and Advisory Services Division, Malaysian Palm Oil Board, Bandar Baru Bangi, 43000, Kajang, Selangor, Malaysia.
| | - Yvonne Ai-Lian Lim
- Department of Parasitology, Faculty of Medicine, Universiti Malaya, 50603, Kuala Lumpur, Malaysia
| | - Kim-Tiu Teng
- Product Development and Advisory Services Division, Malaysian Palm Oil Board, Bandar Baru Bangi, 43000, Kajang, Selangor, Malaysia
| | - Kanga Rani Selvaduray
- Product Development and Advisory Services Division, Malaysian Palm Oil Board, Bandar Baru Bangi, 43000, Kajang, Selangor, Malaysia
| | | | - Norlina Mohd Ramli
- Department of Ophthalmology, Faculty of Medicine, Universiti Malaya, 50603, Kuala Lumpur, Malaysia
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Zhu J, Xu P, Yan W, Hu Y, Guo H, Chen F, Bigambo FM, Wang X. The influence of multivitamins on neurological and growth disorders: a cross-sectional study. Front Nutr 2024; 11:1465875. [PMID: 39385784 PMCID: PMC11463060 DOI: 10.3389/fnut.2024.1465875] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2024] [Accepted: 09/11/2024] [Indexed: 10/12/2024] Open
Abstract
Background While vitamin deficiencies can pose serious health consequences for the body, excessive intake of vitamins can also lead to health risks. However, there is limited data about the impact of multivitamins on neurological and growth disorders. This study aimed to investigate the relationship between multivitamins and neurological and growth disorders. Methods A cross-sectional study was conducted with 16,921 subjects who visited the Children's Hospital of Nanjing Medical University from 2019 to 2021. The subjects were categorized into two groups based on their health status including 9,368 cases (4,484 with neurological disorders and 4,884 with growth disorders) and 7,553 healthy controls. Statistical tests including the T-test, Wilcoxon Rank Sum test, and Chi-Square test were employed to compare the groups, and logistic regression and Weighted Quantile Sum (WQS) regression were used to identify associations. Results In the adjusted logistic regression, serum 25 hydroxyvitamin D [25(OH)D], vitamin B2, and vitamin B9 were associated with decreasing risks of neurological disorders, whereas vitamin A, vitamin B1, and vitamin B12 were associated with increasing risks of neurological disorders. Nevertheless, vitamin A and vitamin B2 were associated with increasing risks of growth disorders. In the WQS model, nine multivitamins were positively associated with risks of neurological disorders, and Vitamins D and C were weighted the most. In addition, the inverse association but not statistically significant was observed between multivitamins and growth disorders, particularly growth retardation revealed a negative association, and some individual growth disorders revealed positive associations including obesity and malnutrition. Conclusion In general, the study observed that multivitamins may be associated with neurological and growth disorders either positive or negative depending on the type of disorder.
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Affiliation(s)
- Jiaxiao Zhu
- Department of Pediatrics, Nanjing Medical University, Nanjing, China
| | - Penghong Xu
- Department of Emergency, Pediatric Intensive Care Unit, Children’s Hospital of Nanjing Medical University, Nanjing, China
| | - Wu Yan
- Clinical Research Center, Children's Hospital of Nanjing Medical University, Nanjing, China
| | - Yahui Hu
- Pharmaceutical Sciences Research Center, Department of Pharmacy, Children's Hospital of Nanjing Medical University, Nanjing, China
| | - Hongli Guo
- Pharmaceutical Sciences Research Center, Department of Pharmacy, Children's Hospital of Nanjing Medical University, Nanjing, China
| | - Feng Chen
- Pharmaceutical Sciences Research Center, Department of Pharmacy, Children's Hospital of Nanjing Medical University, Nanjing, China
| | | | - Xu Wang
- Clinical Research Center, Children's Hospital of Nanjing Medical University, Nanjing, China
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Shen Y, Miao C, Ma M, Zhen Z, He J, Pei X, Zhang Y, Man C, Zhao Q, Jiang Y. Mechanistic insights into the changes of biological activity and physicochemical characteristics in Lacticaseibacillus paracasei fortified milk powder during storage. Food Chem 2024; 452:139501. [PMID: 38728887 DOI: 10.1016/j.foodchem.2024.139501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Revised: 03/03/2024] [Accepted: 04/25/2024] [Indexed: 05/12/2024]
Abstract
To clarify the change mechanism of biological activity and physicochemical characteristics in Lacticaseibacillus paracasei JY025 fortified milk powder (LFMP) during storage, morphological observation, JY025 survival, storage stability, and metabolomics of LFMP were determined during the storage period in this study. The results showed that the LFMP had a higher survival rate of JY025 compared with the bacterial powder of JY025 (LBP) during storage, which suggested that milk powder matrix could reduce strain JY025 mortality under prolonged storage in the LFMP samples. The fortification of strain JY025 also affected the stability of milk powder during the storage period. There was lower water activity and higher glass transition temperature in LFMP samples compared with blank control milk powder (BCMP) during storage. Moreover, the metabolomics results of LFMP indicated that vitamin degradation, Maillard reaction, lipid oxidation, tricarboxylic acid cycle, and lactobacilli metabolism are interrelated and influence each other to create complicated metabolism networks.
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Affiliation(s)
- Yu Shen
- Key Laboratory of Dairy Science, Ministry of Education, College of Food Science, Northeast Agricultural University, Harbin 150030, China
| | - Chao Miao
- Key Laboratory of Dairy Science, Ministry of Education, College of Food Science, Northeast Agricultural University, Harbin 150030, China
| | - Ming Ma
- Key Laboratory of Dairy Science, Ministry of Education, College of Food Science, Northeast Agricultural University, Harbin 150030, China
| | - Zizhu Zhen
- Key Laboratory of Dairy Science, Ministry of Education, College of Food Science, Northeast Agricultural University, Harbin 150030, China
| | - Jian He
- National Center of Technology Innovation for Dairy, Huhehaote 010000, China
| | - Xiaoyan Pei
- National Center of Technology Innovation for Dairy, Huhehaote 010000, China
| | - Yu Zhang
- Key Laboratory of Dairy Science, Ministry of Education, College of Food Science, Northeast Agricultural University, Harbin 150030, China
| | - Chaoxin Man
- Key Laboratory of Dairy Science, Ministry of Education, College of Food Science, Northeast Agricultural University, Harbin 150030, China
| | - Qianyu Zhao
- Key Laboratory of Dairy Science, Ministry of Education, College of Food Science, Northeast Agricultural University, Harbin 150030, China.
| | - Yujun Jiang
- Key Laboratory of Dairy Science, Ministry of Education, College of Food Science, Northeast Agricultural University, Harbin 150030, China; Food Laboratory of Zhongyuan, Luohe, Henan 462300, China.
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Li M, Jiang S, Dong C, Jiang D. Association between fat-soluble vitamins and metabolic syndromes in US adults: a cross-section study from NHANES database. BMC Endocr Disord 2024; 24:178. [PMID: 39237954 PMCID: PMC11378540 DOI: 10.1186/s12902-024-01711-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2024] [Accepted: 08/29/2024] [Indexed: 09/07/2024] Open
Abstract
BACKGROUND Previous studies have shown significant associations between individual fat-soluble vitamins (FSVs) and metabolic syndromes (MetS). However, evidence on the multiple FSVs co-exposure and MetS odds is limited. Given that individuals are typically exposed to different levels of FSVs simultaneously, and FSVs can interact with each other. It's necessary to explore the association between multiple FSVs co-exposure and MetS odds. This study aims to address this gap in general U.S. adults aged ≥ 20 years. METHODS We conducted a cross-sectional study utilizing data from the National Health and Nutrition Examination Surveys (NHANESs) 2003-2006 and 2017-2018. Three FSV, including vitamin A (VA), vitamin E (VE), and vitamin D (VD), and MetS diagnosed according to the ATP III guidelines were selected as exposure and outcome, respectively. Multivariable-adjusted logistic model was used to explore the associations of individual FSV exposure with MetS odds and MetS components. Restricted cubic splines were performed to explore the dose-response relationships among them. The quantile g-computation method was adopted to explore the associations of multiple FSVs co-exposure with MetS odds and MetS components. RESULTS The presented study included a total of 13,975 individuals, with 2400 (17.17%) were diagnosed with MetS. After adjusting for various confounders, a positive linear pattern was observed for serum VA and VE and MetS associations. Serum VD was found to be negatively associated with MetS in a linear dose-response way. For each component of MetS, higher serum VA and VE were associated with higher triglyceride and high-density lipoprotein; higher serum VD was negatively associated with triglyceride, blood pressure, and fasting plasma glucose. MetS odds increased by 15% and 13%, respectively, in response to one quartile increase in FSVs co-exposure index (qgcomp) in the conditional model (OR = 1.15, 95%CI: 1.06, 1.24) and the marginal structural model (OR = 1.13, 95%CI: 1.06, 1.20). Besides, co-exposure to VA, VE, and VD was positively associated with triglyceride, high-density lipoprotein, and blood pressure levels. CONCLUSION Findings in the present study revealed that high serum VA and VE levels were associated with elevated MetS odds, while serum VD was inversely associated with MetS odds. FSVs co-exposure was positively associated with MetS odds.
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Affiliation(s)
- Muxi Li
- College of Basic Medicine, Heilongjiang University of Chinese Medicine, Harbin, Heilongjiang, 150036, China
| | - Shan Jiang
- College of Traditional Chinese Medicine, Jinan University, Guangzhou, 510632, China
| | - Chenxuan Dong
- College of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun, 130117, China
| | - Deyou Jiang
- College of Basic Medicine, Heilongjiang University of Chinese Medicine, Harbin, Heilongjiang, 150036, China.
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Qu Y, Xu W, Guo S, Wu H. Association of sociodemographic and lifestyle factors and dietary intake with overweight and obesity among U.S. children: findings from NHANES. BMC Public Health 2024; 24:2176. [PMID: 39135163 PMCID: PMC11318293 DOI: 10.1186/s12889-024-19637-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Accepted: 07/30/2024] [Indexed: 08/16/2024] Open
Abstract
Childhood overweight/obesity is a serious problem that has not been adequately addressed. As a key factor affecting weight gain, the association between dietary intake with childhood overweight and obesity is still unclear. The objective of this study was to analyze the association between sociodemographic, lifestyle factors and dietary intake with overweight or obesity. We used data from a large cross-sectional National Health and Nutrition Examination Survey (NHANES). The U.S. children aged 6-15 years with both weight data and dietary data were included. For univariate analysis of sociodemographic data, t tests was performed for continuous variables and chi-square tests was performed for discrete variables. Dietary intakes were described by median and quartile, and differences in dietary intake between children with normal weight and children with overweight or obesity were compared by rank sum tests. A modern statistical shrinkage technique, LASSO regression was used to examine the association between dietary intake and childhood obesity. Our study confirms that Hispanic ethnicity, increasing age, passive exposure to smoking, higher protein intake, and higher caffeine intake were positively associated with child overweight or obesity. Additionally, non-Hispanic White race, higher physical activity levels, higher household income, and higher vitamin A intake were negatively associated with child overweight or obesity.
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Affiliation(s)
- Yangming Qu
- Department of Neonatology, the First Hospital of Jilin University, 1 Xinmin Street, Changchun, 130021, Jilin, China
- School of Public Health, Jilin University, Changchun, China
| | - Wei Xu
- Department of Neonatology, the First Hospital of Jilin University, 1 Xinmin Street, Changchun, 130021, Jilin, China
| | - Shijie Guo
- Department of Neonatology, the First Hospital of Jilin University, 1 Xinmin Street, Changchun, 130021, Jilin, China
| | - Hui Wu
- Department of Neonatology, the First Hospital of Jilin University, 1 Xinmin Street, Changchun, 130021, Jilin, China.
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Su X, Patel N, Zhu S, Zhou X, Chen Y, Chen J, Mo X. Association between serum vitamin A and body mass index in adolescents from NHANES 1999 to 2006. Sci Rep 2024; 14:10859. [PMID: 38740865 DOI: 10.1038/s41598-024-61437-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Accepted: 05/06/2024] [Indexed: 05/16/2024] Open
Abstract
Vitamin A plays a pivotal role in health, particularly in regulating fat metabolism. Despite its significance, research into the direct relationship between vitamin A levels and obesity, especially among adolescents, is sparse. This study aims to explore this association within the adolescent population in the United States. This cross-sectional study analyzed the National Health and Nutrition Examination Survey (NHANES) data from 1999 to 2006, with 8218 participants. The levels of vitamin A in the serum were determined based on utilizing high-performance liquid chromatography with photodiode array detection. The relationship between serum vitamin A concentrations and body mass index (BMI) was evaluated using weighted multiple linear regression models, incorporating subgroup analyses by sex and race/ethnicity to provide nuanced insights. A positive correlation was observed between serum vitamin A levels and BMI, with BMI increasing progressively across vitamin A quartiles (P < 0.001). Using the lowest quartile of serum vitamin A as a reference, the BMI of the highest quartile of serum vitamin A was 1.236 times higher (95% CI 0.888, 1.585). Subgroup analyses revealed that this positive association persisted across different genders and racial/ethnic groups (P < 0.001). Notably, smooth curve fitting and saturation threshold analysis unveiled an inverted U-shaped relationship between serum vitamin A and BMI among female adolescents, non-Hispanic Whites, Mexican Americans, and other races/ethnicities groups. Our study substantiates the association between serum vitamin A levels and the risk of obesity/overweight status in adolescents. The findings suggest the potential serum vitamin A is an early biomarker for identifying obesity risk, although further studies are needed to determine to clarify its role as a contributing factor to obesity. This study contributes to the understanding of nutritional influences on adolescent obesity, highlighting the need for targeted interventions based on serum biomarkers.
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Affiliation(s)
- Xiaoqi Su
- Department of Ultrasound, Children's Hospital of Nanjing Medical University, Nanjing, 210008, China
| | - Nishant Patel
- Department of Cardiothoracic Surgery, Children's Hospital of Nanjing Medical University, Nanjing, 210008, China
- School of Public Health, Nanjing Medical University, Nanjing, 211666, China
| | - Shanliang Zhu
- Department of Ultrasound, Children's Hospital of Nanjing Medical University, Nanjing, 210008, China
| | - Xin Zhou
- Department of Ultrasound, Children's Hospital of Nanjing Medical University, Nanjing, 210008, China
| | - Ye Chen
- Department of Ultrasound, Children's Hospital of Nanjing Medical University, Nanjing, 210008, China
| | - Jun Chen
- Department of Ultrasound, Children's Hospital of Nanjing Medical University, Nanjing, 210008, China.
| | - Xuming Mo
- Department of Cardiothoracic Surgery, Children's Hospital of Nanjing Medical University, Nanjing, 210008, China.
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Tan X, Tan PY, Gong YY, Moore JB. Overnutrition is a risk factor for iron, but not for zinc or vitamin A deficiency in children and young people: a systematic review and meta-analysis. BMJ Glob Health 2024; 9:e015135. [PMID: 38599666 PMCID: PMC11015307 DOI: 10.1136/bmjgh-2024-015135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Accepted: 03/14/2024] [Indexed: 04/12/2024] Open
Abstract
INTRODUCTION Traditionally associated with undernutrition, increasing evidence suggests micronutrient deficiencies can coexist with overnutrition. Therefore, this work aimed to systematically review the associations between iron, zinc and vitamin A (VA) status and weight status (both underweight and overweight) in children and young people. METHODS Ovid Medline, Ovid Embase, Scopus and Cochrane databases were systematically searched for observational studies assessing micronutrient status (blood, serum or plasma levels of iron, zinc or VA biomarkers) and weight status (body mass index or other anthropometric measurement) in humans under 25 years of any ethnicity and gender. Risk of bias assessment was conducted using the American Dietetic Association Quality Criteria Checklist. Where possible, random effects restricted maximum likelihood meta-analyses were performed. RESULTS After screening, 83 observational studies involving 190 443 participants from 44 countries were identified, with many studies having reported on more than one micronutrient and/or weight status indicator. Iron was the most investigated micronutrient, with 46, 28 and 27 studies reporting data for iron, zinc and VA status, respectively. Synthesising 16 records of OR from seven eligible studies, overnutrition (overweight and obesity) increased odds of iron deficiency (ID) (OR (95% CI): 1.51 (1.20 to 1.82), p<0.0001, I2=40.7%). Odds appeared to be higher for children living with obesity (1.88 (1.33 to 2.43), p<0.0001, I2=20.6%) in comparison to those with overweight (1.31 (0.98 to 1.64), p<0.0001, I2=40.5%), although between group differences were not significant (p=0.08). CONCLUSIONS Overnutrition is associated with increased risk of ID, but not zinc or VA deficiencies, with an inverted U-shaped relationship observed between iron status and bodyweight. Our results highlight significant heterogeneity in the reporting of micronutrient biomarkers and how deficiencies were defined. Inflammation status was rarely adequately accounted for, and the burden of ID may well be under-recognised, particularly in children and young people living with overnutrition. PROSPERO REGISTRATION NUMBER CRD42020221523.
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Affiliation(s)
- Xiaomian Tan
- School of Food Science and Nutrition, University of Leeds, Leeds, West Yorkshire, UK
| | - Pui Yee Tan
- School of Food Science and Nutrition, University of Leeds, Leeds, West Yorkshire, UK
| | - Yun Yun Gong
- School of Food Science and Nutrition, University of Leeds, Leeds, West Yorkshire, UK
| | - J Bernadette Moore
- School of Food Science and Nutrition, University of Leeds, Leeds, West Yorkshire, UK
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Guo P, Yu J. Association of multiple serum minerals and vitamins with metabolic dysfunction-associated fatty liver disease in US adults: National Health and Nutrition Examination Survey 2017-2018. Front Nutr 2024; 11:1335831. [PMID: 38562487 PMCID: PMC10982334 DOI: 10.3389/fnut.2024.1335831] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Accepted: 03/06/2024] [Indexed: 04/04/2024] Open
Abstract
Background Despite the rapid increase in the global prevalence of Metabolic Dysfunction-Associated Fatty Liver Disease (MAFLD), there are no approved therapeutic drugs for MAFLD yet. Nutrient supplementation might mitigate the risk of MAFLD. It is more typical for individuals to consume multiple nutrients simultaneously. However, the studies exploring the combined effects of multiple nutrients on MAFLD are limited. This study aimed to investigate the relationship between both individual nutrients and their combined influence on the risk of MAFLD. Methods Data were obtained from National Health and Nutrition Examination Survey (NHANES), and 18 types of nutrients were considered in this study. Logistic regression analysis was performed to evaluate the correlation between single nutrients and the risk of MAFLD. The Least Absolute Shrinkage and Selection Operator (LASSO) regression analysis was performed to pinpoint the most relevant nutrient associated with the risk of MAFLD. Subsequently, both Weighted Quantile Sum (WQS) regression and Quantile g-computation (Qgcomp) were used to assess the combined effects of multiple nutrients on the risk of MAFLD. Results A total of 3,069 participants were included in this study. LASSO regression analysis showed that Se, α-tocopherol, and γ-tocopherol exhibited a positive association with the risk of MAFLD. In contrast, the serum levels of Co, P, α-cryptoxanthin, LZ, and trans-β-carotene were inversely associated with the prevalence of MAFLD. When Se and two types of vitamin E were excluded, the WQS index showed a significant inverse relationship between the remaining 15 nutrients and the risk of MAFLD; α-cryptoxanthin showed the most substantial contribution. Similarly, Qgcomp suggested that the combined effects of these 15 nutrients were associated with a lower risk of MAFLD, with α-cryptoxanthin possessing the most significant negative weights. Conclusion This study suggested that the complex nutrients with either a low proportion of Se, α-tocopherol, and γ-tocopherol or without them should be recommended for patients with MAFLD to reduce its risk.
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Affiliation(s)
| | - Jiahui Yu
- The Center of Gastrointestinal and Minimally Invasive Surgery, Department of General Surgery, The Third People’s Hospital of Chengdu, The Affiliated Hospital of Southwest Jiaotong University, Chengdu, China
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Tomasiuk R, Zubrzycki IZ, Wiacek M. Age-dependent changes in fat- and water-soluble vitamins—National Health and Nutrition Examination Surveys study. Front Med (Lausanne) 2022; 9:907067. [PMID: 36388949 PMCID: PMC9641218 DOI: 10.3389/fmed.2022.907067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Accepted: 09/28/2022] [Indexed: 11/28/2022] Open
Abstract
Aging is an independent risk factor for the development of various diseases associated, among others, with detrimental blood levels of fat- and water-soluble vitamins. Thus, the objective of this study is to investigate age-related changes in blood levels of vitamin A, B12, C, D, and E. Subject serum vitamin levels were obtained from the combined National Health and Nutrition Examination Surveys (NHANES). NHANESIII and NHANES 1999–2000, 2001–2002, 2003–2004, and 2005–2006. The raw data set was stratified into five age groups G1- G5: 20 ≤ G1 < 30, 30 ≤ G2 < 40, 40 ≤ G3 < 50, 50 ≤ G4 < 60, and 60 ≤ G5 < 70 years of age. Age stratified data was cleaned using the modified Horn algorithm. The reference range for the vitamin level of a specific age group was defined as data between the first and third quartile of the subject defined by normal blood pressure and normal bone density. Age-dependent changes in serum/plasma vitamin levels were assessed using the bootstrap technique with 10,000 repeats and Bonferroni adjustment. There was a continuous increase in vitamin A, B12, D, and E levels in the blood. However, the vitamin C concentration remained virtually constant in all age groups. There was a lack of cross-correlations between lipid and water-soluble vitamin levels and blood pressure and bone health. The following reference levels for vitamin A, B12, C, D, and E in subjects older than 20 years of age were established: vitamin A: 1.32–2.8 mmol/L, vitamin B12: 257.94–498.33 pmol/L, vitamin C: 38.18–79.2 mmol/L, vitamin D: 76.33–199.36 nmol/L and vitamin E: 3.65–41.12 μmol/L.
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Affiliation(s)
- Ryszard Tomasiuk
- Faculty of Medical and Health Sciences, Kazimierz Pułaski University of Technology and Humanities in Radom, Radom, Poland
| | - Igor Z. Zubrzycki
- Faculty of Medical and Health Sciences, Kazimierz Pułaski University of Technology and Humanities in Radom, Radom, Poland
- Department of Biometry and Mathematics, Botswana University of Agriculture and Natural Resources, Gaborone, Botswana
| | - Magdalena Wiacek
- Faculty of Medical and Health Sciences, Kazimierz Pułaski University of Technology and Humanities in Radom, Radom, Poland
- *Correspondence: Magdalena Wiacek,
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Shi J, He L, Yu D, Ju L, Guo Q, Piao W, Xu X, Zhao L, Yuan X, Cao Q, Fang H. Prevalence and Correlates of Metabolic Syndrome and Its Components in Chinese Children and Adolescents Aged 7–17: The China National Nutrition and Health Survey of Children and Lactating Mothers from 2016–2017. Nutrients 2022; 14:nu14163348. [PMID: 36014854 PMCID: PMC9415182 DOI: 10.3390/nu14163348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 08/04/2022] [Accepted: 08/09/2022] [Indexed: 11/16/2022] Open
Abstract
This descriptive study aimed to determine the prevalence of metabolic syndrome (MetS) and its components among Chinese children and adolescents aged 7–17 from 2016–2017 according to the Cook’s criteria modified for age on the basis of the National Cholesterol Education Program-Adult Treatment Panel III (NCEP-ATP III) and to evaluate the associations between the factors of interest (especially vitamin A, vitamin D and hyperuricemia) of MetS and its components, using data from the China National Nutrition and Health Survey of Children and Lactating Mothers from 2016–2017. A total of 54,269 school-aged children and adolescents were ultimately included in this study. Anthropometric measurements and laboratory examinations of the subjects and their relevant information were also collected. A multivariate logistic regression analysis model was applied to analyze the relationships between relevant factors associated with MetS and its components. In the present study, the prevalence of MetS in children and adolescents was 5.98%. Among the five components of MetS, elevated blood pressure (BP) and abdominal obesity were the most prevalent (39.52% and 17.30%), and 58.36% of the subjects had at least one of these components. In the multivariate logistic regression, an overweight condition, obesity and hyperuricemia were positively correlated with the incidence of MetS and all five components. There was also a positive association observed between vitamin A and the risk of MetS and some components of MetS (abdominal obesity and high triglycerides (TG)) and vitamin A was negatively associated with the risk of low high-density lipoprotein cholesterol (HDL-C). Subjects with vitamin D inadequacy had a higher risk of MetS (OR = 1.364, 95%CI: 1.240–1.500) and four of its components, excepting elevated FBG (fast blood glucose). Vitamin D deficiency was positively associated with MetS (OR = 1.646, 95%CI: 1.468–1.845) and all five of its components. Well-designed, large-scale prospective studies are also needed in the future.
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Micó V, San-Cristobal R, Martín R, Martínez-González MÁ, Salas-Salvadó J, Corella D, Fitó M, Alonso-Gómez ÁM, Wärnberg J, Vioque J, Romaguera D, López-Miranda J, Estruch R, Tinahones FJ, Lapetra J, Serra-Majem JL, Bueno-Cavanillas A, Tur JA, Martín Sánchez V, Pintó X, Delgado-Rodríguez M, Matía-Martín P, Vidal J, Vázquez C, García-Arellano A, Pertusa-Martinez S, Chaplin A, Garcia-Rios A, Muñoz Bravo C, Schröder H, Babio N, Sorli JV, Gonzalez JI, Martinez-Urbistondo D, Toledo E, Bullón V, Ruiz-Canela M, Portillo MP, Macías-González M, Perez-Diaz-del-Campo N, García-Gavilán J, Daimiel L, Martínez JA. Morbid liver manifestations are intrinsically bound to metabolic syndrome and nutrient intake based on a machine-learning cluster analysis. Front Endocrinol (Lausanne) 2022; 13:936956. [PMID: 36147576 PMCID: PMC9487178 DOI: 10.3389/fendo.2022.936956] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Accepted: 07/26/2022] [Indexed: 11/30/2022] Open
Abstract
Metabolic syndrome (MetS) is one of the most important medical problems around the world. Identification of patient´s singular characteristic could help to reduce the clinical impact and facilitate individualized management. This study aimed to categorize MetS patients using phenotypical and clinical variables habitually collected during health check-ups of individuals considered to have high cardiovascular risk. The selected markers to categorize MetS participants included anthropometric variables as well as clinical data, biochemical parameters and prescribed pharmacological treatment. An exploratory factor analysis was carried out with a subsequent hierarchical cluster analysis using the z-scores from factor analysis. The first step identified three different factors. The first was determined by hypercholesterolemia and associated treatments, the second factor exhibited glycemic disorders and accompanying treatments and the third factor was characterized by hepatic enzymes. Subsequently four clusters of patients were identified, where cluster 1 was characterized by glucose disorders and treatments, cluster 2 presented mild MetS, cluster 3 presented exacerbated levels of hepatic enzymes and cluster 4 highlighted cholesterol and its associated treatments Interestingly, the liver status related cluster was characterized by higher protein consumption and cluster 4 with low polyunsaturated fatty acid intake. This research emphasized the potential clinical relevance of hepatic impairments in addition to MetS traditional characterization for precision and personalized management of MetS patients.
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Affiliation(s)
- Víctor Micó
- Cardiometabolic Nutrition Group, Madrid Institute for Advanced Studies (IMDEA) Food, Excellence International Campus Autónoma Madrid University (CEI UAM) + CSIC, Madrid, Spain
- *Correspondence: Víctor Micó, ; Rodrigo San-Cristobal,
| | - Rodrigo San-Cristobal
- Cardiometabolic Nutrition Group, Madrid Institute for Advanced Studies (IMDEA) Food, Excellence International Campus Autónoma Madrid University (CEI UAM) + CSIC, Madrid, Spain
- *Correspondence: Víctor Micó, ; Rodrigo San-Cristobal,
| | - Roberto Martín
- Biostatistics and Bioinformatics Unit, Madrid Institute for Advanced Studies (IMDEA) Food, Excellence International Campus Autónoma Madrid University (CEI UAM) + CSIC, Madrid, Spain
| | - Miguel Ángel Martínez-González
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine and Public Health, IdiSNA-Navarra Institute for Health Research, University of Navarra, Pamplona, Spain
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, United States
| | - Jordi Salas-Salvadó
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Biochemistry and Biotechnology Department, Nutrition Unit, Institut d’Investigació Pere Virgili (IISPV), Hospital Universitari San Joan de Reus, Universitat Rovira i Virgili, Reus, Spain
| | - Dolores Corella
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Montserrat Fitó
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Cardiovascular Risk and Nutrition Research Group (CARIN), Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Ángel M. Alonso-Gómez
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country (UPV/EHU) , Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Nursing, School of Health Sciences, Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, Málaga, Spain
| | - Jesús Vioque
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), Alicante, Spain
| | - Dora Romaguera
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR). Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE), Palma de Mallorca, Spain
| | - José López-Miranda
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Lipids and Atherosclerosis Hospital Reina Sofía, Maimonides Institute for Research in Biomedicine of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Córdoba, Spain
| | - Ramon Estruch
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Internal Medicine, August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Francisco J. Tinahones
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA), Virgen de la Victoria Hospital, University of Málaga, Málaga, Spain
| | - José Lapetra
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - J. Luís Serra-Majem
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Preventive Medicine Service, Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria, Las Palmas, Spain
| | - Aurora Bueno-Cavanillas
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
| | - Josep A. Tur
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR). Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE), Palma de Mallorca, Spain
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
| | - Vicente Martín Sánchez
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Institute of Biomedicine (IBIOMED), University of León, León, Spain
| | - Xavier Pintó
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Lipids and Vascular Risk Unit, Internal Medicine, Hospitalet de Llobregat, Hospital Universitario de Bellvitge, Barcelona, Spain
| | | | - Pilar Matía-Martín
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Josep Vidal
- Biomedical Research Centre for Diabetes and Metabolic Diseases Network CIBER Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Endocrinology, August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Clotilde Vázquez
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Endocrinology and Nutrition, Hospital Fundación Jimenez Díaz, Instituto de Investigaciones Biomédicas Jiménez Díaz Foundation Health Research Institute (IISFJD), University Autónoma, Madrid, Spain
| | - Ana García-Arellano
- Department of Emergency, Complejo Hospitalario de Navarra Servicio Navarro de Salud-Osasunbidea, Pamplona, Spain
| | | | - Alice Chaplin
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR). Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE), Palma de Mallorca, Spain
| | - Antonio Garcia-Rios
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Lipids and Atherosclerosis Hospital Reina Sofía, Maimonides Institute for Research in Biomedicine of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Córdoba, Spain
| | - Carlos Muñoz Bravo
- Department of Nursing, School of Health Sciences, Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, Málaga, Spain
- Department of Preventive Medicine and Public Health, School of Medicine, University of Málaga, Málaga, Spain
| | - Helmut Schröder
- Cardiovascular Risk and Nutrition Research Group (CARIN), Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Nancy Babio
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Biochemistry and Biotechnology Department, Nutrition Unit, Institut d’Investigació Pere Virgili (IISPV), Hospital Universitari San Joan de Reus, Universitat Rovira i Virgili, Reus, Spain
| | - Jose V. Sorli
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Jose I. Gonzalez
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Diego Martinez-Urbistondo
- Department of Preventive Medicine and Public Health, IdiSNA-Navarra Institute for Health Research, University of Navarra, Pamplona, Spain
| | - Estefania Toledo
- Department of Preventive Medicine and Public Health, IdiSNA-Navarra Institute for Health Research, University of Navarra, Pamplona, Spain
- Department of Nutrition, Food Science and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain
| | - Vanessa Bullón
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Miguel Ruiz-Canela
- Department of Preventive Medicine and Public Health, IdiSNA-Navarra Institute for Health Research, University of Navarra, Pamplona, Spain
| | - María Puy- Portillo
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Nutrition and Obesity Group, Department of Pharmacy and Food Science, Lucio Lascaray Research Institute, University of the Basque Country (UPV/EHU), Vitoria, Spain
- Bioaraba Health Research Institute, Alava, Spain
| | - Manuel Macías-González
- Department of Nursing, School of Health Sciences, Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, Málaga, Spain
- Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA), Virgen de la Victoria Hospital, University of Málaga, Málaga, Spain
| | | | - Jesús García-Gavilán
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Biochemistry and Biotechnology Department, Nutrition Unit, Institut d’Investigació Pere Virgili (IISPV), Hospital Universitari San Joan de Reus, Universitat Rovira i Virgili, Reus, Spain
| | - Lidia Daimiel
- Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, Madrid Institute for Advanced Studies (IMDEA) Food, Excellence International Campus Autónoma Madrid University (CEI UAM) + CSIC, Madrid, Spain
| | - J. Alfredo Martínez
- Cardiometabolic Nutrition Group, Madrid Institute for Advanced Studies (IMDEA) Food, Excellence International Campus Autónoma Madrid University (CEI UAM) + CSIC, Madrid, Spain
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Nutrition, Food Sciences and Physiology, University of Navarra, Pamplona, Spain
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