| Literature DB >> 31844453 |
Arif Sabta Aji1, Eti Yerizel2, Desmawati Desmawati3, Nur Indrawaty Lipoeto3.
Abstract
BACKGROUND: There is a high prevalence of vitamin D deficiency in pregnancy worldwide, and variable availability of vitamin D-rich foods may affect the adequacy of vitamin D food intake in different regions. AIM: We analysed the relationship between place of residence and maternal food intake of vitamin D and calcium in West Sumatra, Indonesia.Entities:
Keywords: Calcium; Food Intake; Indonesia; Place of residence; Pregnancy; Vitamin D
Year: 2019 PMID: 31844453 PMCID: PMC6901836 DOI: 10.3889/oamjms.2019.659
Source DB: PubMed Journal: Open Access Maced J Med Sci ISSN: 1857-9655
Socio-demographic and anthropometric data for participants (n = 203)
| Variables | Value (%) | Mean ± SD |
|---|---|---|
| Age in years | 29.96 ± 6.13 | |
| a. < 20 | 5 (2.480) | |
| b. 20-29 | 92 (45.32) | |
| c. 30-34 | 53 (26.10) | |
| d. ≥35 | 53 (26.10) | |
| Parity | ||
| a. Nulliparous | 65 (32) | |
| b. Multiparous | 138 (68) | |
| Working status | ||
| a. Housewife | 143 (70.40) | |
| b. Non-housewife | 60 (29.60) | |
| Monthly income, Rp | 3,179,000 ± 340,000 | |
| a. ≥ Minimum wages | 142 (70) | |
| b. < Minimum wages | 61 (30) | |
| Education level | ||
| a. < High school | 72 (35.40) | |
| b. ≥ High school | 131 (64.60) | |
| Physical activity | 7.252 ± 0.826 | |
| a. Low | 23 (11.30) | |
| b. Medium | 79 (38.90) | |
| c. High | 101 (49.80) | |
| Height (cm) | 152.74 ± 5.370 | |
| a. ≥ 145 | 194 (95.60) | |
| b. < 145 | 9 (4.40) | |
| Pre-pregnancy weight (kg) | 51.03 ± 9.380 | |
| Weight (kg) | 61.05 ± 10.110 | |
| Pre-pregnancy BMI (kg/m2) | 21.85 ± 3.727 | |
| a. Underweight (< 18.50) | 37 (18.20) | |
| b. Normal (18.50–22.99) | 91 (44.80) | |
| c. Pre-obese (23.00–24.99) | 35 (17.20) | |
| d. Obese I (25.00–29.99) | 30 (14.80) | |
| e. Obese II (≥ 30) | 10 (4.90) | |
| Weight gain (kg) | 10.01 ± 5.265 | |
| MUAC (cm) | 26.93 ± 3.459 | |
| a. Low (< 23.50) | 27 (13.30) | |
| b. Normal (23.50–25.00) | 38 (18.70) | |
| c. Obese (> 25.00) | 138 (68) | |
| Average blood pressure | ||
| a. Systolic b.Diastolic | 115.60 ± 12.04 74.52 ± 8.69 |
SD: standard deviation; BMI: body mass index; MUAC: mid-upper arm circumference.
Dietary intake of subjects (n = 203)
| Variables | Min-max | Mean ± SD | RDA | %RDA |
|---|---|---|---|---|
| Energy (kcal) | 1,577.97–3,484.23 | 2,443.77 ± 479.996 | 2,550 | 95.8 |
| Total carbohydrate (g) | 137.07–440.42 | 266.577 ± 57.977 | 363 | 73.2 |
| Total protein (g) | 54.37–198.52 | 106.33 ± 30.789 | 79 | 134 |
| Total fat (g) | 56.08–180.29 | 109.56 ± 26.092 | 85 | 128 |
| Calcium (mg) | 181.73–2,993.79 | 784.88 ± 409.77 | 1,300 | 60 |
| Vitamin D (µg) | 0.39–29.28 | 7.92 ± 5.26 | 15 | 52.8 |
RDA: recommended dietary allowance.
RDA adopted from Indonesia Ministry of Health [18].
Association between the place of residence and vitamin D and calcium intake (n = 203)
| Variables | Place of residence | Odds ratio (95% CI) | P-value | |
|---|---|---|---|---|
| Coastal (%) | Mountainous (%) | |||
| Vitamin D intake (µg)* | 9.04 ± 5.92 | 6.55 ± 3.92 | 0.001 | |
| Vitamin D status** | 0.306 (0.118–0.794) | 0.02 | ||
| 21 (18.80) | 6 (6.60) | |||
| 91 (81.20) | 85 (93.40) | |||
| Calcium intake (mg)* | 812.385 ± 434.840 | 751.043 ± 376.263 | 0.09 | |
| Calcium intake status ** | 0.583 (0.225–1.513) | 0.37 | ||
| 14 (12.50) | 7 (7.70%) | |||
| 98 (87.50) | 84 (92.30) | |||
| Energy (kcal)* | 2476.26 ± 490.63 | 2406.70 ± 467.69 | 0.329 | |
| Carbohydrate (g)* | 297.86 ± 89.87 | 273.94 ± 76.93 | 0.046 | |
| Fat (g)* | 119.90 ± 37.26 | 113.60 ± 30.42 | 0.195 | |
| Protein (g)* | 118.03 ± 42.38 | 107.62 ± 30.87 | 0.044 | |