| Literature DB >> 31018617 |
Haruki Nakamura1, Hiromasa Tsujiguchi2, Akinori Hara3, Yasuhiro Kambayashi4, Sakae Miyagi5, Thao Thi Thu Nguyen6, Keita Suzuki7, Yuichi Tao8, Yuriko Sakamoto9, Yukari Shimizu10, Norio Yamamoto11, Hiroyuki Nakamura12.
Abstract
The relationship among dietary calcium, hypertension and vitamin D status currently remains unclear. This population-based cross-sectional study examined the association between dietary calcium intake and hypertension and the influence of serum concentrations of 25-hydroxyvitamin D [25(OH)D] in Japanese subjects. A total of 619 subjects aged from 40 years were recruited. Dietary intake was measured using a validated brief self-administered diet history questionnaire. Hypertension was defined as the use of antihypertensive medication or a blood pressure of 140/90 mmHg. Serum concentrations of 25(OH)D were used as the biomarker of vitamin D status. The prevalence of hypertension and low serum 25(OH)D levels (<20 ng/mL) were 55 and 32%, respectively. Dietary calcium intake inversely correlated with hypertension in subjects with serum 25(OH)D levels higher than 20 ng/mL (OR: 0.995; 95% CI: 0.991, 0.999) but it was not significant in those with serum 25(OH)D levels of 20 ng/mL or lower. Furthermore, dietary vitamin D intake correlated with serum concentrations of 25(OH)D after adjustments for various confounding factors. The present results demonstrate that the regular consumption of calcium may contribute to the prevention and treatment of hypertension in subjects with a non-vitamin D deficiency and also that dietary vitamin D intake may effectively prevents this deficiency.Entities:
Keywords: 25-hydroxyvitamin D; calcium; hypertension; vitamin D
Mesh:
Substances:
Year: 2019 PMID: 31018617 PMCID: PMC6521038 DOI: 10.3390/nu11040911
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 5.717
Characteristics of subjects in different blood pressure (BP) groups.
| All Participants | Hypertension | Normal BP | ||
|---|---|---|---|---|
| No. of subjects | 619 | 343 | 276 | |
| Men, | 292 (47) | 191 (56) | 101 (37) |
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| Age | 60.9 (11.5) | 64.4 (10.7) | 56.7 (11.0) |
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| Smoking status, |
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| Non-smoker | 326 (53) | 165 (48) | 161 (58) | |
| Ex-smoker | 167 (27) | 104 (30) | 63 (23) | |
| Current | 126 (20) | 74 (22) | 52 (19) | |
| Exercise habit, | 0.393 | |||
| yes | 337 (54) | 192 (56) | 145 (53) | |
| no | 282 (46) | 151 (44) | 131 (47) | |
| Height (cm) | 160 (9.66) | 160 (9.84) | 160 (9.44) | 0.920 |
| Weight (kg) | 59.8 (11.7) | 61.5 (11.4) | 57.8 (11.7) |
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| Waist circumference (cm) | 83.7 (9.16) | 85.5 (8.90) | 81.5 (8.98) |
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| BMI (kg/m2) | 23.1 (3.22) | 23.8 (3.12) | 22.4 (3.17) |
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| SBP (mmHg) | 139 (20.2) | 151 (18.2) | 124 (9.13) |
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| DBP (mmHg) | 80.7 (11.8) | 85.7 (12.2) | 74.5 (7.51) |
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| eGFR (mL/min/1.73m2) | 72.6 (14.4) | 70.7 (15.3) | 75.0 (12.8) |
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| Serum 25(OH)D (ng/mL) | 23.8 (8.04) | 24.7 (7.95) | 22.6 (8.01) |
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| Energy and nutrients (/day) | ||||
| Total energy (kcal) | 1856 (614) | 1885 (622) | 1819 (603) | 0.182 |
| Nutrients (g/1000 kcal) | ||||
| Protein | 38.0 (8.16) | 37.9 (8.66) | 38.2 (7.52) | 0.660 |
| Carbohydrate | 134.1 (21.2) | 134 (22.4) | 134 (19.6) | 0.806 |
| Sodium | 2.44 (0.541) | 2.49 (0.544) | 2.39 (0.533) |
|
| Potassium | 1.38 (0.426) | 1.39 (0.451) | 1.38 (0.392) | 0.889 |
| Magnesium | 0.140 (0.330) | 0.141 (0.035) | 0.140 (0.31) | 0.576 |
| Calcium (mg/1000 kcal) | 292 (111) | 292 (113) | 292 (110) | 0.991 |
| Vitamin D (μg/1000 kcal) | 8.41 (5.26) | 8.72 (5.56) | 8.02 (4.85) | 0.091 |
| Cholesterol | 0.202 (0.723) | 0.197 (0.750) | 0.207 (0.686) | 0.086 |
| Total dietary fibre | 6.51 (2.18) | 6.57 (2.29) | 6.44 (2.04) | 0.447 |
| Alcohol | 6.99 (10.5) | 8.59 (11.4) | 4.99 (9.08) |
|
| SFA | 7.26 (2.17) | 6.87 (2.07) | 7.74 (2.20) |
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| MUFA | 9.77 (2.66) | 9.35 (2.70) | 10.3 (2.51) |
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| PUFA | 6.82 (1.75) | 6.62 (1.77) | 7.07 (1.68) |
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| | 1.48 (0.504) | 1.48 (0.508) | 1.49 (0.500) | 0.732 |
| | 5.31 (1.41) | 5.12 (1.44) | 5.55 (1.34) |
|
p values were from the Student’s t-test for continuous variables and from the chi-square test for categorical variables. p values < 0.05 are in bold. Continuous variables are presented as the mean (SD). Nutrient data were adjusted for energy using the density method as a percentage of daily energy intake. Hypertension was defined as the use of antihypertensive medication or a BP of 140/90 mmHg or higher. Abbreviations: BP, blood pressure; BMI, body mass index; SBP, systolic blood pressure; DBP, diastolic blood pressure; eGFR, estimated glomerular filtration rate; 25(OH)D, 25-hydroxyvitamin D; SAF, saturated fatty acids; MUFA, monounsaturated fatty acids; PUFA, polyunsaturated fatty acids.
Interaction between BP groups and serum 25(OH)D levels for calcium intake.
| Nutrient Intake | 25(OH)D Level | HTN | NBP | |
|---|---|---|---|---|
| Mean (SD) | Mean (SD) | |||
| Calcium (mg/1000 kcal) | Low | 291 (118) | 263 (91.8) |
|
| Normal | 293 (111) | 311 (117) |
p values for the interaction from a two-way analysis of variance. p value <0.05 is in bold. Nutrient data were adjusted for energy using the density method as a percentage of daily energy intake. Hypertension was defined as the use of antihypertensive medication or a BP of 140/90 mmHg or higher. A low serum 25(OH)D level was defined as a 25(OH)D value of 20 ng/mL or lower. A total of 201 subjects had a low serum 25(OH)D level; 110 had normal BP and 91 had hypertension. There were 418 subjects with a normal serum 25(OH)D level; 166 had a normal BP and 252 had hypertension. Abbreviations: BP, blood pressure; HTN, hypertension; NBP, normal blood pressure; 25(OH)D, 25-hydroxyvitamin D.
Association between calcium intake and blood pressure according to serum 25(OH)D levels.
| Subjects | Model | OR | 95% CI | |
|---|---|---|---|---|
| Lower | Upper | |||
| All subjects ( | Model 1 | 0.998 | 0.996 | 1.000 |
| Model 2 | 0.997 | 0.994 | 1.001 | |
| Model 3 | 0.997 | 0.994 | 1.001 | |
| Normal 25(OH)D level ( | Model 1 |
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| Model 2 |
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| Model 3 |
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| Low 25(OH)D level ( | Model 1 | 1.002 | 0.998 | 1.006 |
| Model 2 | 1.003 | 0.996 | 1.011 | |
| Model 3 | 1.003 | 0.995 | 1.010 | |
Statistically significant estimates are in bold. Nutrient data were adjusted for energy using the density method as a percentage of daily energy intake. Model 1: adjusted for sex, age, BMI, eGFR, frequency of exercise, smoking status, consumption of alcohol and sodium intake. Model 2: adjusted for sex, age, BMI, eGFR, frequency of exercise, smoking status, sodium intake and the consumption of alcohol, proteins, carbohydrates, total dietary fibre, saturated fatty acids, monounsaturated fatty acids, protein, n-3 fatty acids and n-6 fatty acids. Model 3: adjusted for sex, age, BMI, eGFR, frequency of exercise, smoking status, serum 25(OH)D, the consumption of alcohol, protein, carbohydrates, total dietary fibre, saturated fatty acids, monounsaturated fatty acids protein, n-3 fatty acids and n-6 fatty acids and sodium intake. Abbreviations: OR, Odds ratio; CI, confidence interval; eGFR, estimated glomerular filtration rate; 25(OH)D, 25-hydroxyvitamin D.
Figure 1Association between dietary vitamin D intake and serum 25(OH)D concentration. The spread of the association between dietary calcium intake and serum 25(OH)D levels (n = 619). Pearson’s correlation coefficient was 0.285 (p < 0.001).
Association between dietary vitamin D intake and serum 25(OH)D.
| Model | β | 95% CI | |
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| Lower | Upper | ||
| Model 1 |
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| Model 2 |
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| Model 3 |
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| Model 4 |
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Statistically significant estimates are in bold. All data were transformed to z scores. Nutrient data were adjusted for energy using the density method as a percentage of daily energy intake. Model 1: adjusted for sex, age. Model 2: adjusted for sex, age, BMI. Model 3: adjusted for sex, age, BMI, exercise habit, alcohol intake, smoking status. Model 4: adjusted for sex, age, BMI, exercise habit, alcohol intake, smoking status, eGFR. Abbreviations: eGFR, estimated glomerular filtration rate; 25(OH)D, 25-hydroxyvitamin D.