Association Between Dietary Mineral Nutrient Intake, Body Mass Index, and Waist Circumference in U.S. Adults Using Quantile Regression Analysis NHANES 2007-2014

Overview

Journal PeerJ

Specialties Biology
Environmental Health
General Medicine

Date 2020 May 16

PMID 32411541

Citations 24

Authors

Shan Jiang

Xiaoyu Ma

Meng Li

Shoumeng Yan

Hantong Zhao

Yingan Pan

Changcong Wang

Yan Yao

Lina Jin

Bo Li

Affiliations

Soon will be listed here.

Abstract

Objective: Mineral nutrients play an important role in maintaining material and energy metabolism. Reports on mineral nutrient intakes and body mass index (BMI) and waist circumference (WC) are rare in the United States. This study examined the relationship between BMI, WC and dietary mineral intakes.

Method: We used the data from National Health and Nutrition Examination Survey 2007-2014. Nutrient intakes were adjusted for energy according to the residual adjustment method. We used the quantile regression model to analyze the relationship between BMI, WC under different distributions and the average daily mineral intakes.

Result: A total of 19,952 people were included in the study, including 9,879 men and 10,073 women (≥20 years old). The median BMI was 27.935 kg/m and the median WC was 97.700 cm. The results of quantile regression showed that calcium, magnesium, potassium, copper, zinc and iron intakes were negatively correlated with BMI and WC, after adjusting for age and gender. Sodium and phosphorus intakes were positively correlated with BMI, sodium intakes were positively correlated with WC. This correlation was enhanced with increasing quantiles of risk levels. In high BMI or high WC populations, mineral intakes had a greater impact on BMI and WC. The quantile regression coefficients of selenium intakes were not statistically significant at each quantile.

Conclusion: Our results suggested that the mineral nutrient intakes were associated with BMI and WC in American adults. However, we also need to further study the longitudinal effects of mineral intakes and obesity.

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References

Olusi S, Al-Awadhi A, Abiaka C, Abraham M, George S . Serum copper levels and not zinc are positively associated with serum leptin concentrations in the healthy adult population. Biol Trace Elem Res. 2003; 91(2):137-44. DOI: 10.1385/BTER:91:2:137. View

Flegal K, Kit B, Orpana H, Graubard B . Association of all-cause mortality with overweight and obesity using standard body mass index categories: a systematic review and meta-analysis. JAMA. 2013; 309(1):71-82. PMC: 4855514. DOI: 10.1001/jama.2012.113905. View

Garcia O, Ronquillo D, Caamano M, Martinez G, Camacho M, Lopez V . Zinc, iron and vitamins A, C and e are associated with obesity, inflammation, lipid profile and insulin resistance in Mexican school-aged children. Nutrients. 2013; 5(12):5012-30. PMC: 3875915. DOI: 10.3390/nu5125012. View

Lee S . Critical Role of Zinc as Either an Antioxidant or a Prooxidant in Cellular Systems. Oxid Med Cell Longev. 2018; 2018:9156285. PMC: 5884210. DOI: 10.1155/2018/9156285. View

Rautiainen S, Wang L, Lee I, Manson J, Buring J, Sesso H . Dairy consumption in association with weight change and risk of becoming overweight or obese in middle-aged and older women: a prospective cohort study. Am J Clin Nutr. 2016; 103(4):979-88. PMC: 4807700. DOI: 10.3945/ajcn.115.118406. View

Qu R, Jia Y, Liu J, Jin S, Han T, Na L . Dietary Flavonoids, Copper Intake, and Risk of Metabolic Syndrome in Chinese Adults. Nutrients. 2018; 10(8). PMC: 6116064. DOI: 10.3390/nu10080991. View

Kieliszek M . Selenium⁻Fascinating Microelement, Properties and Sources in Food. Molecules. 2019; 24(7). PMC: 6480557. DOI: 10.3390/molecules24071298. View

Yoon Y, Oh S . Sodium density and obesity; the Korea National Health and Nutrition Examination Survey 2007-2010. Eur J Clin Nutr. 2012; 67(2):141-6. DOI: 10.1038/ejcn.2012.204. View

Roman M, Jitaru P, Barbante C . Selenium biochemistry and its role for human health. Metallomics. 2013; 6(1):25-54. DOI: 10.1039/c3mt00185g. View

10.

Willett W, Howe G, Kushi L . Adjustment for total energy intake in epidemiologic studies. Am J Clin Nutr. 1997; 65(4 Suppl):1220S-1228S; discussion 1229S-1231S. DOI: 10.1093/ajcn/65.4.1220S. View

11.

Beydoun M, Gary T, Caballero B, Lawrence R, Cheskin L, Wang Y . Ethnic differences in dairy and related nutrient consumption among US adults and their association with obesity, central obesity, and the metabolic syndrome. Am J Clin Nutr. 2008; 87(6):1914-25. PMC: 2585752. DOI: 10.1093/ajcn/87.6.1914. View

12.

Beard J, Borel M, Peterson F . Changes in iron status during weight loss with very-low-energy diets. Am J Clin Nutr. 1997; 66(1):104-10. DOI: 10.1093/ajcn/66.1.104. View

13.

Garcia O, Ronquillo D, Caamano M, Camacho M, Long K, Rosado J . Zinc, vitamin A, and vitamin C status are associated with leptin concentrations and obesity in Mexican women: results from a cross-sectional study. Nutr Metab (Lond). 2012; 9(1):59. PMC: 3406981. DOI: 10.1186/1743-7075-9-59. View

14.

Zhu W, Cai D, Wang Y, Lin N, Hu Q, Qi Y . Calcium plus vitamin D3 supplementation facilitated fat loss in overweight and obese college students with very-low calcium consumption: a randomized controlled trial. Nutr J. 2013; 12:8. PMC: 3599592. DOI: 10.1186/1475-2891-12-8. View

15.

He F, MacGregor G . Salt reduction lowers cardiovascular risk: meta-analysis of outcome trials. Lancet. 2011; 378(9789):380-2. DOI: 10.1016/S0140-6736(11)61174-4. View

16.

Oh S, Han K, Han S, Koo H, Kim S, Chin H . Association of Sodium Excretion With Metabolic Syndrome, Insulin Resistance, and Body Fat. Medicine (Baltimore). 2015; 94(39):e1650. PMC: 4616840. DOI: 10.1097/MD.0000000000001650. View

17.

Soares M, Murhadi L, Kurpad A, Chan She Ping-Delfos W, Piers L . Mechanistic roles for calcium and vitamin D in the regulation of body weight. Obes Rev. 2012; 13(7):592-605. DOI: 10.1111/j.1467-789X.2012.00986.x. View

18.

Fernandez-Sanchez A, Madrigal-Santillan E, Bautista M, Esquivel-Soto J, Morales-Gonzalez A, Esquivel-Chirino C . Inflammation, oxidative stress, and obesity. Int J Mol Sci. 2011; 12(5):3117-32. PMC: 3116179. DOI: 10.3390/ijms12053117. View

19.

Murakami K, Livingstone M, Sasaki S, Uenishi K . Ability of self-reported estimates of dietary sodium, potassium and protein to detect an association with general and abdominal obesity: comparison with the estimates derived from 24 h urinary excretion. Br J Nutr. 2015; 113(8):1308-18. DOI: 10.1017/S0007114515000495. View

20.

Zhu Z, Wu F, Lu Y, Wu C, Wang Z, Zang J . Total and Nonheme Dietary Iron Intake Is Associated with Metabolic Syndrome and Its Components in Chinese Men and Women. Nutrients. 2018; 10(11). PMC: 6266186. DOI: 10.3390/nu10111663. View