Journal List > Korean J Nutr > v.45(1) > 1043927

Kim, Moon, Yang, and Kwon: Relationship between Serum 25-hydroxyvitamin D Concentration and the Risksof Metabolic Syndrome in Premenopausal and Postmenopausal Women

Abstract

Metabolic syndrome (MetS) has become a global epidemic. In particular, it is known that there is a dramatic increase in the prevalence of MetS among women during the postmenopausal period. Recently, accumulating studies have suggested that vitamin D deficiency may be inversely associated with the risk factors regarding MetS. However, evidence from postmenopausal women is limited. In this study, we examined the association between the serum 25-hydroxyvitamin D [25(OH)D] and the MetS in Korean adult women aged 20-69 years (n = 2,618) by using the 2007-2008 Korean National Health and Nutrition Examination Survey data. The geometric mean of plasma 25(OH)D were 17.16 ± 6.28 ng/mL and 20.20 ± 7.69 ng/mL for premenopausal and postmenopausal women, respectively. The percentages of vitamin D deficiency [25(OH)D < 12 ng/mL] were 22.5% and 14.4%, respectively. MetS was more prevalent in postmenopausal women (43.0%) compared with premenopausal women (11.2%). When serum concentrations of 25(OH)D were categorized in quintiles, there was no relationship in the prevalence of MetS in both premonopausal and postmenopausal women. However, in premenopausal women, compared with the lowest 25(OH)D quintile, the odds ratio for hypertriglyceridemia in the highest quintile was 0.57 (95% CI 0.34-0.95, Ptrend = 0.041) and for low serum HDL cholesterol 0.60 (95% CI 0.42-0.85, Ptrend = 0.014) after adjusting for all potential confounders. On the other hand, we observed the tendency of an inverse relationship for 25(OH)D regarding low serum HDL cholesterol (OR 0.78, 95% CI 0.50-1.22, Ptrend = 0.029) and a direct relationship with abdominal obesity (OR 1.94, 95% CI 1.01, 3.74, Ptrend = 0.049) in postmenopausal women. Further studies are needed to confirm these findings in other research settings.

Figures and Tables

Fig. 1
Mean serum 25-hydroxyvitamin D concentrations among subjects in premenopausal and postmenopausal period. White bars show subjects without metabolic syndrome and black bars show subjects with metabolic syndrome. *: p < 0.05.
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Table 1
Baseline data of subjects included in this study, classified according to menopausal status
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Data are means ± SD or n (%)

p value was derived from unpaired t-test or chi-square test

Table 2
Characteristics of subjects included in this study according to quintiles of serum 25-hydroxyvitamin D concentration
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Data are means ± SD, n (%)

Ptrend was derived from a general linear model or Cochran Mantel Haenzel analysis

Table 3
Adjusted odd ratios (ORs) and 95% confidence intervals (CIs) of having the metabolic syndrome by serum 25-hydroxyvitamin D quintiles among 1,613 premenopausal women
kjn-45-20-i003

Data are n (%) or adjusted OR (95% CI). For prevalence, Ptrend was from Cochran Mantel Haenzel analysis; for odds ratio, Ptrend was from Wald chi-square test

Model 1: adjusted for age, body mass index, season, Model 2: adjusted for all variables in model 1 plus education (Elementary, Mid-dle, High, College), regular exercise (yes/no), multivitamin supplement use (yes/no), Model 3: adjusted for all variables in model 2 plus total energy, fat, and calcium intake

Table 4
Adjusted odd ratios (ORs) and 95% confidence intervals (CIs) of having the metabolic syndrome by serum 25-hydroxyvitamin D quintiles among 1,005 postmenopausal women
kjn-45-20-i004

Data are n (%) or adjusted OR (95% CI). For prevalence, Ptrend was from Cochran Mantel Haenzel analysis; for odds ratio, Ptrend was from Wald chi-square test.

Model 1: adjusted for age, body mass index, season, Model 2: adjusted for all variables in model 1 plus education (Elementary, Middle, High, College), monthly drinking (yes/no), regular exercise (yes/no), multivitamin supplement use (yes/no), Model 3: adjusted for all variables in model 2 plus total energy, carbohydrate, and fat intake

Notes

This work was supported by the sixth stage of BK21 Project in 2011 and the Ministry of Knowledge Economy for the Regional Innovation System program in 2011 (No. B0012328).

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