Serum 25-hydroxyvitamin D and Metabolic Parameters in Healthy Korean Adults: Korean National Health and Nutrition Examination Survey VI.

PURPOSE: Studies investigating the association between vitamin D and metabolic parameters have reported inconsistent results depending on the characteristics of the subjects. We aimed to investigate the association between vitamin D levels and various metabolic indicators in healthy Korean adults by using nationally representative data.
METHODS: A total of 3640 participants were included after excluding subjects who were ≤19 years of age and had a history of treatment for dyslipidemia, hypertension, or diabetes and a history of other chronic diseases such as liver and kidney diseases. After dividing the 25-hydroxyvitamin D (25(OH)D) level into quartiles, the risk of having each metabolic parameter higher than the median value was determined according to the 25(OH)D quartile by using regression analysis.
RESULTS: In a multivariate regression analysis, a higher 25(OH)D quartile tended to have a significantly lower risk of having a triglyceride (TG) level higher than the median value (103.1 mg/dl). As the quartile increased, the risk of having a waist circumference or body mass index higher than the median value also decreased, but the difference was not statistically significant. No significant changes were observed in fasting glucose or glycated hemoglobin level according to quartile.
CONCLUSION: We demonstrated that subjects with a higher 25(OH)D quartile exhibited a significantly lower risk of having a TG level higher than the median value in a representative Korean population. More evidence from a prospective study on whether vitamin D supplementation improves serum TG levels in healthy adults is needed.

Introduction

Vitamin D is involved in maintaining homeostasis of calcium and phosphorus and is an important substance involved in bone metabolism.1 Various studies have investigated the effects of vitamin D supplementation not only on skeletal effects, but also on non-skeletal effects, such as on the cardiovascular system, glucose metabolism, infectious diseases, diabetic complications, and cancers.2,3 Vitamin D receptors are expressed in a variety of body tissues and have different physiological effects.4 They are also located in pancreatic β-cells, and vitamin D is involved in insulin secretion and insulin sensitivity.5 Previous studies have shown that low blood vitamin D levels increase the risk of dysfunction in glucose metabolism.6,7

Pittas et al found that vitamin D supplementation lowers the risk of type 2 diabetes8 whereas Seida et al reported no effect of vitamin D supplementation on glucose homeostasis or diabetes prevention.9 A study conducted on Korean subjects reported that vitamin D is associated with glucose metabolism,10 but this finding is inconsistent with other studies.11,12 These inconclusive results are due to the heterogeneity of the study subjects, the variable risk of bias, and the differences in the follow-up period. Therefore, limitations exist in drawing clear conclusions with regard to the association between vitamin D and glucose homeostasis.

Vitamin D deficiency, defined as a vitamin D concentration of less than 20 ng/mL, is commonly observed in Korea,13 particularly in the younger generations.13 Studies in Korea confirmed the association between vitamin D concentration and glucose homeostasis in healthy adults. However, few of them reported the association between vitamin D concentration and various metabolic components constituting metabolic syndrome in healthy adults. Therefore, in this study, we aimed to investigate the association between vitamin D concentration, fasting blood glucose, glycated hemoglobin (HbA1c), triglyceride (TG), waist circumference (WC), and body mass index (BMI) in healthy adults by using nationally representative data from the Korea National Health and Nutrition Examination Survey (KNHANES).

Materials and Methods

Study Population

The KNHANES VI was performed by the Korea Centers for Disease Control and Prevention. It is composed of a health interview survey, a health examination survey, and a nutrition survey using a stratified, multistage, probability sampling design. Written informed consent for participation was obtained from all study subjects. Detailed information regarding data collection is available on the KNHANES website (). The data accessed from the KNHANES is freely available upon request. The study was approved by the Catholic University of Korea, Catholic Medical Center, Seoul St. Mary’s Hospital Institutional Review Board. Among the 4117 Korean participants aged >19 years, 370 were excluded from the study because of a history of treatment for dyslipidemia, hypertension, or diabetes. Eighty-two subjects receiving vitamin D supplementation and 25 subjects with chronic diseases, such as liver or kidney disease, were also excluded. Finally, 3640 participants were included in the analysis.

Measurements

All measurements and questionnaires were collected by trained investigators. Detailed anthropometric measurements were performed according to our previous studies.14–16 Height and body weight were measured as part of the health examination for each subject. BMI was calculated from the measured height and weight values. Serum vitamin D levels (25-hydroxyvitamin D, 25(OH)D) were measured using a gamma counter (1470 WIZARD gamma-counter; PerkinElmer, Turku, Finland) with a radioimmunoassay assay (DiaSorin, Stillwater, MN, USA). Vitamin D deficiency is defined as a 25(OH)D concentration of less than 20 ng/mL.4 25(OH)D concentration was analyzed by dividing the population into quartiles. Serum glucose, HbA1c, and TG levels were measured from blood samples collected after 8 h of overnight fasting. Fasting plasma glucose levels were determined with the Hitachi 7600 automatic analyzer (Hitachi, Tokyo, Japan). HbA1c levels were measured using high-performance liquid chromatography (HLC-723G7; Tosoh, Tokyo, Japan). The smoking status of the subjects was classified as either non-smokers or current smokers. Physical activity was categorized into regular physical activity (exercise session for ≥20 min/session, ≥5 sessions/week; moderate exercise for ≥30 min/session, ≥5 sessions/week; or walking for ≥30 min/session, ≥5 sessions/week) and non-regular physical activity groups.

Statistical Analysis

Statistical analyses were performed using SAS version 9.3 (SAS Institute, Cary, NC, USA). Statistical significance was set at P <0.05. Continuous variables are expressed as numbers and percentages or as means ± standard deviations and were compared using t-tests. Discrete variables are presented as N (%) and compared using the Rao–Scott chi-squared test. Analysis of variance was performed to analyze the difference between the 25(OH)D quartiles. Multivariable adjusted logistic regression analysis was performed to determine odds ratios (ORs) and 95% confidence intervals (CIs). In the logistic regression analysis, Model 1 was an unadjusted model (crude), whereas Model 2 was adjusted for age and sex. Model 3 was fully adjusted for age, sex, physical activity, smoking status, and blood pressure. Because of the complex sampling design, a sampling weight method was used to assign the participants as representatives of the Korean population for data analysis. The statistical analysis of KNHANES has been reported in previous studies.15,17–20

Results

Baseline Characteristics According to the 25(OH)D Quartiles

The differences in baseline characteristics according to the 25(OH)D quartile are presented in Table 1. 25(OH)D quartiles (Q) were classified as follows: Q1: ≤ 11.87 ng/mL, 11.87 ng/mL < Q2 ≤ 15.33 ng/mL, 15.33 ng/mL < Q3 ≤ 19.65 ng/mL, and 19.65 ng/mL < Q4. The mean age in Q4 was the highest (44.6 ± 0.5 years), whereas that in Q1 was the lowest (36.3 ± 0.5 years) (p < 0.001). The higher the quartile, the fewer female participants were included (p < 0.001). Fasting glucose, HbA1c, systolic blood pressure, diastolic blood pressure, and WC tended to increase with increasing quartile. BMI and serum TG levels did not differ between the quartiles.

Table 1

Baseline Characteristics of Study Participants

	25-Hydroxyvitamin D Quartiles				p value
	Q 1 (n=865)	Q 2 (n=899)	Q 3 (n=891)	Q 4 (n=985)
Age (years)	36.3 ± 0.5	38.1 ± 0.5	40.0 ± 0.6	44.6 ± 0.5	< 0.001
Female, n (%)	527 (51.5)	500 (46.5)	411 (38.1)	416 (34.8)	< 0.001
Fasting glucose (mg/dL)	93.3 ± 0.4	95.3 ± 0.7	95.7 ± 0.5	96.9 ± 0.7	< 0.001
HbA1c (%)	5.5 ± 0.01	5.6 ± 0.02	5.6 ± 0.01	5.7 ± 0.02	< 0.001
Triglyceride (mg/dL)	140.2 ± 5.2	131.4 ± 4.5	139.8 ± 4.5	140.2 ± 4.1	0.416
HDL (mg/dL)	50.8 ± 0.5	52.3 ± 0.4	51.4 ± 0.4	50.3 ± 0.4	0.096
BMI (kg/m2)	23.5 ± 0.1	23.4 ± 0.1	23.8 ± 0.1	23.8 ± 0.1	0.059
Mean 25-Hydroxyvitamin D (ng/mL)	9.49 ± 0.06	13.62 ± 0.03	17.33 ± 0.04	25.12 ± 0.16	< 0.001
Waist circumference (cm)	79.2 ± 0.4	79.4 ± 0.4	80.8 ± 0.4	81.1 ± 0.4	0.001
Systolic pressure (mmHg)	113.1 ± 0.5	113.4 ± 0.5	115.1 ± 0.6	116.4 ± 0.6	< 0.001
Diastolic pressure (mmHg)	74.6 ± 0.4	74.9 ± 0.4	75.3 ± 0.4	76.4 ± 0.4	0.010
Physical activity
Yes, n (%)	424 (56.3)	441 (57.3)	436 (56.4)	489 (57.8)	0.929
Smoking
Yes, n (%)	306 (42.8)	337 (45.6)	388 (51.1)	431 (49.3)	0.015

Notes: Q1: ≤ 11.87 ng/mL, 11.87 ng/mL < Q2 ≤ 15.33 ng/mL, 15.33 ng/mL < Q3 ≤ 19.65 ng/mL, and 19.65 ng/mL < Q4. Data are presented as mean ± se, n (weighted %); Statistics were carried out using Rao-Scott Chi-square test and t-test.

Abbreviation: BMI, Body mass index.

Association of 25(OH)D with Metabolic Parameters

In the study population, the median values for fasting glucose, HbA1c, TG, high-density lipoprotein (HDL) cholesterol, WC, and BMI were 91.9 mg/dl, 5.5%, 103.1 mg/dl, 49.5 mg/dl, 79.6 cm, and 23.3 kg/m2, respectively (Tables 2–7). In multiple regression analyses, the risk of having a fasting glucose level higher than the median value (91.9 mg/dl) increased in the crude model (Model 1) with an increase in the 25(OH)D quartile (Table 2). However, no statistical difference was found in this trend in Model 3, which is a fully adjusted model (OR: 0.977, 95% CI, 0.754–1.385, p = 0.255; Table 2). The risk of having an HbA1c level higher than the median value (5.5%) increased in the crude model with an increase in 25(OH)D quartile. However, these changes were not statistically significant in Model 3 (OR: 1.117, 95% CI, 0.911–1.524, p = 0.190; Table 3). In the fully adjusted Model 3, a higher 25(OH)D quartile was confirmed to lower the risk of having a TG level higher than the median value (103.1 mg/dl). In subjects in the highest quartile (Q4), the risk of having a TG level higher than 103.1 mg/dl was 22.4% lower (OR: 0.776, 95% CI, 0.603–0.999, p = 0.005) than that in Q1 subjects in Model 3 (p for trend = 0.032; Table 4). The risk of having HDL cholesterol, WC, and BMI higher than the median value decreased as the quartile of 25(OH)D increased in Model 3, but the difference was not statistically significant (Tables 5–7).

Table 2

Multiple Logistic Regression of Metabolic Parameters According to 25(OH)D Quartile Fasting Glucose

25(OH)D quartiles	Fasting Glucose (> Median (91.9 mg/dl))		OR for trend
	OR (95% CI)	p value
Model 1 (Crude)			0.003
Q 1	Reference
Q 2	1.280 (1.034–1.586)	0.023
Q 3	1.388 (1.100–1.752)	0.006
Q 4	1.403 (1.132–1.740)	0.002
Model 2			0.206
Q 1	Reference
Q 2	1.164 (0.923–1.469)	0.199
Q 3	1.108 (0.865–1.419)	0.417
Q 4	0.856 (0.677–1.081)	0.191
Model 3			0.176
Q 1	Reference
Q 2	1.147 (0.801–1.990)	0.193
Q 3	0.925 (0.967–1.438)	0.205
Q 4	0.977 (0.754–1.385)	0.255

Notes: 25(OH)D quartiles are classified as Q1: ≤ 11.87 ng/mL, 11.87 ng/mL < Q2 ≤ 15.33 ng/mL, 15.33 ng/mL < Q3 ≤ 19.65 ng/mL, and 19.65 ng/mL < Q4; Model 1 was unadjusted model, whereas Model 2 was the model that was adjusted by age, sex. Model 3 was a fully-adjusted by age, sex, physical activity, smoking status, and blood pressure.

Abbreviation: 25(OH)D, 25-hydroxyvitamin D.

Table 7

Multiple Logistic Regression of Metabolic Parameters According to 25(OH)D Quartile Body Mass Index

25(OH)D quartiles	Body Mass Index (> Median (23.3 kg/m2))		OR for trend
	OR (95% CI)	p value
Model 1 (Crude)			0.003
Q 1	Reference
Q 2	1.032 (0.827–1.288)	0.779
Q 3	1.271 (1.007–1.602)	0.043
Q 4	1.336 (1.069–1.670)	0.011
Model 2			0.914
Q 1	Reference
Q 2	0.950 (0.753–1.198)	0.665
Q 3	1.060 (0.831–1.350)	0.639
Q 4	0.977 (0.773–1.234)	0.844
Model 3			0.426
Q 1	Reference
Q 2	1.031 (0.519–2.048)	0.931
Q 3	0.984 (0.482–2.006)	0.964
Q 4	0.751 (0.382–1.478)	0.407

Notes: 25(OH)D quartiles are classified as Q1: ≤ 11.87 ng/mL, 11.87 ng/mL < Q2 ≤ 15.33 ng/mL, 15.33 ng/mL < Q3 ≤ 19.65 ng/mL, and 19.65 ng/mL < Q4; Model 1 was unadjusted model, whereas Model 2 was the model that was adjusted by age, sex. Model 3 was a fully-adjusted by age, sex, physical activity, smoking status, and blood pressure.

Abbreviation: 25(OH)D, 25-hydroxyvitamin D.

Table 3

Multiple Logistic Regression of Metabolic Parameters According to 25(OH)D Quartile HbA1c

25(OH)D quartiles	HbA1c (> Median (5.5%))		OR for trend
	OR (95% CI)	p value
Model 1 (Crude)			< 0.001
Q 1	Reference
Q 2	1.156 (0.933–1.434)	0.185
Q 3	1.309 (1.042–1.644)	0.021
Q 4	1.832 (1.449–2.316)	< 0.001
Model 2			0.251
Q 1	Reference
Q 2	1.040 (0.827–1.307)	0.738
Q 3	1.057 (0.831–1.345)	0.649
Q 4	1.167 (0.903–1.509)	0.237
Model 3			0.175
Q 1	Reference
Q 2	1.210 (0.657–2.225)	0.540
Q 3	0.815 (0.733–1.333)	0.300
Q 4	1.117 (0.911–1.524)	0.190

Notes: 25(OH)D quartiles are classified as Q1: ≤ 11.87 ng/mL, 11.87 ng/mL < Q2 ≤ 15.33 ng/mL, 15.33 ng/mL < Q3 ≤ 19.65 ng/mL, and 19.65 ng/mL < Q4; Model 1 was unadjusted model, whereas Model 2 was the model that was adjusted by age, sex. Model 3 was a fully-adjusted by age, sex, physical activity, smoking status, and blood pressure.

Abbreviation: 25(OH)D, 25-hydroxyvitamin D.

Table 4

Multiple Logistic Regression of Metabolic Parameters According to 25(OH)D Quartile Triglyceride

25(OH)D quartiles	Triglyceride (> Median (103.1 mg/dl))		OR for trend
	OR (95% CI)	p value
Model 1 (Crude)			0.004
Q 1	Reference
Q 2	0.962 (0.784–1.179)	0.706
Q 3	1.160 (0.940–1.430)	0.165
Q 4	1.307 (1.052–1.625)	0.016
Model 2			0.198
Q 1	Reference
Q 2	0.850 (0.687–1.051)	0.134
Q 3	0.982 (0.720–1.105)	0.293
Q 4	0.840 (0.666–1.061)	0.143
Model 3			0.032*
Q 1	Reference
Q 2	0.835 (0.659–1.059)	0.137
Q 3	0.752 (0.595–0.951)	0.018
Q 4	0.776 (0.603–0.999)	0.005

Notes: 25(OH)D quartiles are classified as Q1: ≤ 11.87 ng/mL, 11.87 ng/mL < Q2 ≤ 15.33 ng/mL, 15.33 ng/mL < Q3 ≤ 19.65 ng/mL, and 19.65 ng/mL < Q4; Model 1 was unadjusted model, whereas Model 2 was the model that was adjusted by age, sex. Model 3 was a fully-adjusted by age, sex, physical activity, smoking status, and blood pressure; *For the significant results.

Abbreviation: 25(OH)D, 25-hydroxyvitamin D.

Table 5

Multiple Logistic Regression of Metabolic Parameters According to 25(OH)D Quartile HDL-Cholesterol

25(OH)D quartiles	HDL-Cholesterol (> Median (49.5 mg/dl))		OR for trend
	OR (95% CI)	p value
Model 1 (Crude)			0.664
Q 1	Reference
Q 2	1.194 (0.964–1.480)	0.105
Q 3	1.138 (0.922–1.404)	0.229
Q 4	0.968 (0.788–1.190)	0.760
Model 2			0.105
Q 1	Reference
Q 2	1.327 (0.961–1.359)	0.113
Q 3	1.433 (0.854–1.484)	0.301
Q 4	1.376 (0.900–1.522)	0.225
Model 3			0.331
Q 1	Reference
Q 2	0.734 (0.372–1.450)	0.373
Q 3	1.347 (0.656–2.767)	0.416
Q 4	1.230 (0.617–2.452)	0.555

Notes: 25(OH)D quartiles are classified as Q1: ≤ 11.87 ng/mL, 11.87 ng/mL < Q2 ≤ 15.33 ng/mL, 15.33 ng/mL < Q3 ≤ 19.65 ng/mL, and 19.65 ng/mL < Q4; Model 1 was unadjusted model, whereas Model 2 was the model that was adjusted by age, sex. Model 3 was a fully-adjusted by age, sex, physical activity, smoking status, and blood pressure.

Abbreviation: 25(OH)D, 25-hydroxyvitamin D.

Table 6

Multiple Logistic Regression of Metabolic Parameters According to 25(OH)D Quartile Waist Circumference

25(OH)D quartiles	Waist Circumference (> Median (79.6 cm))		OR for trend
	OR (95% CI)	p value
Model 1 (Crude)			< 0.001
Q 1	Reference
Q 2	1.035 (0.705–1.170)	0.761
Q 3	1.080 (0.841–1.387)	0.004
Q 4	0.977 (0.759–1.258)	< 0.001
Model 2			0.795
Q 1	Reference
Q 2	0.909 (0.705–1.170)	0.457
Q 3	1.080 (0.841–1.387)	0.546
Q 4	0.977 (0.759–1.258)	0.858
Model 3			0.319
Q 1	Reference
Q 2	0.865 (0.400–1.799)	0.666
Q 3	0.843 (0.413–1.814)	0.701
Q 4	0.783 (0.735–2.410)	0.240

Notes: 25(OH)D quartiles are classified as Q1: ≤ 11.87 ng/mL, 11.87 ng/mL < Q2 ≤ 15.33 ng/mL, 15.33 ng/mL < Q3 ≤ 19.65 ng/mL, and 19.65 ng/mL < Q4; Model 1 was unadjusted model, whereas Model 2 was the model that was adjusted by age, sex. Model 3 was a fully-adjusted by age, sex, physical activity, smoking status, and blood pressure.

Abbreviation: 25(OH)D, 25-hydroxyvitamin D.

Discussion

This population-based study analyzed the association between various metabolic parameters and vitamin D concentration in 3640 healthy adults aged >19 years. In a fully adjusted model, the risk of having TG level, WC, and BMI higher than the average value decreased as the 25(OH)D concentration increased. The changes in the TG level were statistically significant.

Numerous studies have investigated the association between vitamin D levels and metabolic parameters. Alvarez and Ashraf reported a negative correlation between vitamin D concentrations and fasting blood glucose levels.21 McGill et al found that HbA1c level decreases as the concentration of vitamin D increases in overweight or obese subjects.22 Many studies have shown that the concentration of vitamin D has a negative correlation with fasting blood glucose and HbA1c; however, some studies reported opposite findings. A study on Jordanian adults aged 18 years or older reported no association between serum 25(OH)D levels and factors constituting metabolic syndrome, including fasting blood glucose.23 A study analyzing 292 postmenopausal women aged 50–79 years included in the Women’s Health Initiative Calcium-Vitamin D (WHI-CaD) trial also reported no association between 25(OH)D concentration and glucose or insulin. However, in our study, high 25(OH)D concentration was inversely associated with TG.11 In a study involving 813 Korean adults (324 men and 483 women) residing in a rural area, univariate analysis showed that 25(OH)D and insulin resistance are inversely associated, but this association is not significant after adjusting for several variables.12 Studies investigating the association between 25(OH)D concentration and insulin resistance, diabetes, and fasting blood glucose showed inconsistent results depending on the characteristics of the analyzed group. Most studies investigated about the association between 25(OH)D and fasting blood glucose and insulin resistance. Studies confirming the association between 25(OH)D and metabolic syndrome components in a single study group are lacking. In this study, we included 3640 healthy Korean adult men and women and analyzed the association between 25(OH)D and various components such as fasting blood glucose, HbA1c, TG, WC, and BMI. Multivariate analysis showed that a higher 25(OH)D quartile tended to have a lower risk of TG level higher than the median value. Although no statistical difference was found, it was confirmed that the higher the 25(OH)D concentration, the lower the risk of having WC and BMI higher than the average value. This finding is in line with the results of the WHI-CaD trial. Studies on the association between vitamin D and lipids, including TG, have been conducted. Chunla et al reported an inverse correlation between serum 25(OH)D and TG levels in a meta-analysis of patients with polycystic ovary syndrome (PCOS).24 Asemi et al showed that calcium and vitamin D supplementation have beneficial effects on serum TG levels in patients with PCOS.25 However, the beneficial effects of vitamin D supplementation on TGs are negative according to the current evidence. Rajpathak et al found that calcium and vitamin D supplementation in postmenopausal women is not associated with lipid changes over five years.26 In a study of 39 healthy postmenopausal women, elemental calcium (1000 mg/day) and vitamin D supplementation (800 IU/day) are not associated with significant changes in lipid levels over 3 months.27 These inconsistent results may be due to the differences in the study subjects and study duration. Further studies on subjects with different characteristics are required. Our study analyzed healthy adults, and confirming the association between vitamin D and TG levels in healthy adults is important. In our study, although the risk of having a TG level higher than the median value was significantly lower when the serum 25(OH)D quartile was increased in healthy adults, whether supplementation of vitamin D has an effect on reducing TG levels is uncertain. The effect of vitamin D on serum TG levels remains unknown. However, several possible mechanisms have been identified on how serum vitamin D affects TG levels. Querfeld et al suggested that upregulated lipoprotein lipase induced by vitamin D metabolites can reduce the formation of TGs and induce the formation of HDL cholesterol in vitro.28 Moreover, the anti-inflammatory effect of vitamin D might reduce chronic inflammation, thus lowering TG levels.29,30 In our study, an increase in the 25(OH)D quartile was confirmed to have a beneficial effect on TG and HDL cholesterol levels. More research is warranted on the effects of vitamin D on lipid metabolism.

These results were also observed for the other metabolic parameters. Recently, many studies have observed changes in insulin resistance or fasting blood glucose when vitamin D was supplemented, but a meta-analysis failed to prove the usefulness of vitamin D supplementation.2 As such, the association between vitamin D and metabolic parameters as well as the usefulness of vitamin D supplementation for metabolic diseases have not been clearly demonstrated because of the different demographic characteristics of the study subjects, and type 1 error or attrition bias may affect the interpretation of the study results.

This study has several limitations. First, as this study has a cross-sectional design, explanation of the causal association between serum 25(OH)D concentration and metabolic parameters is limited. Second, changes in vitamin D due to differences in sunlight exposure or seasonal differences were not considered in the analysis. Third, this study did not determine the intake of vitamin D from dietary sources, which usually contain cholesterol. As such, their effects should be considered. Fourth, the subjects included smokers, but smokers may have metabolic problems, such as obesity, and vitamin D binding protein may be low; therefore, caution is needed in interpreting the vitamin D levels.31,32 Finally, information on drug use, detailed history of treatment, and presence of medical conditions were collected based on self-reports. However, the KNHANES provides reliable data because a specially trained investigator participated in the interview, and many studies have been conducted based on these data. Nevertheless, the important clinical implications of our study should not be overlooked. The KNHANES is a nationally representative sample of the Korean population. The present study has the advantage of investigating healthy adults without diabetes or other metabolic diseases.

Conclusion

To our knowledge, this study is the largest to investigate the association between 25(OH)D and metabolic parameters in a Korean population. We demonstrated that subjects with a higher 25(OH)D quartile exhibited a significantly lower risk of having a TG level higher than the median value. By contrast, other parameters constituting metabolic syndrome and glucose homeostasis, such as fasting glucose, HbA1c, WC, and BMI, were not significantly associated with 25(OH)D quartiles. A prospective cohort study that complements the above-mentioned limitations is expected to provide a broad understanding of the association between vitamin D and important metabolic parameters. In addition, evidence from a prospective study on whether vitamin D supplementation improves TG levels in healthy adults is needed.