| Literature DB >> 21310082 |
Geok L Khor1, Winnie S S Chee, Zalilah M Shariff, Bee K Poh, Mohan Arumugam, Jamalludin A Rahman, Hannah E Theobald.
Abstract
BACKGROUND: Deficiencies of micronutrients can affect the growth and development of children. There is increasing evidence of vitamin D deficiency world-wide resulting in nutritional rickets in children and osteoporosis in adulthood. Data on the micronutrient status of children in Malaysia is limited. The aim of this study was to determine the anthropometric and micronutrient status of primary school children in the capital city of Kuala Lumpur.Entities:
Mesh:
Year: 2011 PMID: 21310082 PMCID: PMC3045951 DOI: 10.1186/1471-2458-11-95
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Distribution of children according to socio-demographic background (n = 402)
| N (%) | Mean ± SD | |
|---|---|---|
| Boys | 180 (44.8) | |
| Girls | 222 (55.2) | |
| 7-12 years | 402 (100) | 9.9 ± 1.2 |
| 7-9 years | 194 (48.3) | 9.0 ± 0.9 |
| 10-12 years | 208 (51.7) | 10.9 ± 0.6 |
| Malay | 206 (51.2) | |
| Chinese | 172 (42.8) | |
| Indian & others | 24 (6.0) | |
| 3.6 ± 1.6 | ||
| ≤3 | 221 (55.1) | |
| ≥4 | 180 (44.9) | |
| 43.0 ± 6.2 | ||
| ≤ 40 | 139 (35.9) | |
| > 40 | 249 (64.1) | |
| 39.6 ± 5.6 | ||
| ≤ 40 | 226 (57.5) | |
| > 40 | 167 (42.5) | |
| Secondary school and below | 270 (69.8) | |
| College/University | 117 (30.2) | |
| Secondary school and below | 290 (74.6) | |
| College/University | 99 (25.4) | |
| < RM3999 | 245 (62.7) | |
| RM4000 - RM7999 | 92 (23.5) | |
| ≥ RM8000 | 54 (13.8) | |
Distribution of children according to height-for-age and BMI-for-age
| Boys (N = 180) | Girls (N = 222) | Total (N = 402) | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 95% CI | 95% CI | 95% CI | ||||||||||
| % | SE | Lower | Upper | % | SE | Lower | Upper | % | SE | Lower | Upper | |
| Normal | 95.6 | 1.54 | 92.52 | 98.60 | 97.3 | 1.09 | 95.15 | 99.45 | 96.5 | 0.92 | 94.72 | 98.32 |
| Stunted | 4.4 | 1.54 | 1.40 | 7.48 | 2.7 | 1.09 | 0.55 | 4.85 | 3.5 | 0.92 | 1.68 | 5.28 |
| Severe thinness | 2.8 | 1.23 | 0.35 | 5.20 | 0.5 | 0.45 | 0.44 | 1.34 | 1.5 | 0.61 | 0.30 | 2.68 |
| Thinness | 6.1 | 1.79 | 2.58 | 9.64 | 6.3 | 1.64 | 3.08 | 9.53 | 6.2 | 1.21 | 3.85 | 8.59 |
| Normal | 48.9 | 3.74 | 41.52 | 56.26 | 65.3 | 3.20 | 59.01 | 71.63 | 58.0 | 2.47 | 53.11 | 62.81 |
| Overweight | 17.2 | 2.82 | 11.65 | 22.79 | 18.5 | 2.61 | 13.32 | 23.61 | 17.9 | 1.91 | 14.15 | 21.67 |
| Obese | 25.0 | 3.24 | 18.61 | 31.39 | 9.5 | 1.97 | 5.58 | 13.34 | 16.4 | 1.85 | 12.78 | 20.05 |
Height-for-age vs sex of the children: χ2 = 0.897, df = 1, p = 0.344 (Monte Carlo)
BMI-for-age vs sex of the children: χ2 = 22.949, df = 4, p < 0.001 (Monte Carlo)
Serum micronutrient status of the children
| Boys | Girls | Total | * | |
|---|---|---|---|---|
| N (%) | ||||
| 0.313 | ||||
| Low (< 12) | 2 (1.1) | 7 (3.2) | 9 (2.2) | |
| Normal (12 - 140) | 174 (97.2) | 213 (95.9) | 387 (96.5) | |
| High (> 140) | 3 (1.7) | 2(0.9) | 5 (1.2) | |
| Total | 179 (100) | 222 (100) | 401 (100) | |
| Low (< 110) | 1 (0.6) | 8 (3.6) | 9 (2.2) | 0.080 |
| Normal (110 - 150) | 179 (99.4) | 213 (95.9) | 392 (97.5) | |
| High (> 150) | 0 | 1 (0.5) | 1 (0.2) | |
| Total | 180 (100) | 222 (100) | 402 (100) | |
| Low (< 75) | 21 (11.7) | 37 (16.7) | 58 (14.4) | 0.156 |
| Normal (75 - 93) | 159 (88.3) | 185 (83.3) | 344 (85.6) | |
| Total | 180 (100) | 222 (100) | 402 (100) | |
| (Ferritin <12 μg/L + Hb <110 g/L + MCV <75 fL) | 1 (0.6) | 0 | 1 (0.2) | - |
| 180 (100) | 222 (100) | 402 (100) | ||
| Low (< 9.0) | 1 (0.6) | 4 (1.8) | 5 (1.2) | 0.458 |
| Normal (9.0 - 18.0) | 177 (98.3) | 217(97.7) | 394 (98.0) | |
| High (> 18.0) | 2 (1.1) | 1 (0.5) | 3 (0.7) | |
| Total | 180 (100) | 222 (100) | 402 (100) | |
| Normal (> 185) | 179 (100) | 222 (100) | 401 (100) | - |
| Normal (> 5.7) | 179 (100) | 222 (100) | 401 (100) | - |
| Deficiency (≤37.5) | 51 (28.3) | 91 (41.0) | 142 (35.3) | 0.010 |
| Insufficiency (> 37.5 - 50.0) | 68 (37.8) | 81 (36.5) | 149 (37.1) | |
| Sufficiency (> 50.0) | 61 (33.9) | 50 (22.5) | 111 (27.6) | |
| Total | 180 (100) | 222 (100) | 402 (100) | |
*Pearson χ2 p value, with significance at P < 0.05
References for classification of serum micronutrients:
Haemoglobin and Mean Corpuscular Volume: [9]
Ferritin: [10]
Zinc: [11]
Vitamin B12 and Folate: [12]
Vitamin D: [13])
Correlation between BMI-for-age and vitamin D status
| Severe thinness | 3 | 2.5 | 2 | 3.3 | 1 | 0.6 | 0 | 0.0 | 4 | 1.2 | 2 | 3.4 |
| Thinness | 6 | 5 | 5 | 8.2 | 10 | 5.8 | 4 | 8.0 | 20 | 5.8 | 5 | 8.6 |
| Normal | 54 | 45.4 | 34 | 55.7 | 109 | 63.4 | 36 | 72.0 | 194 | 56.4 | 39 | 67.2 |
| Overweight | 20 | 16.8 | 11 | 18.0 | 34 | 19.8 | 7 | 14.0 | 66 | 19.2 | 6 | 10.3 |
| Obese | 36 | 30.3 | 9 | 14.8 | 18 | 10.5 | 3 | 6.0 | 60 | 17.4 | 6 | 10.3 |
| 5.958 | 1.160 | 5.832 | ||||||||||
| p-trend (Monte Carlo) | 0.016 | 0.330 | 0.013 | |||||||||
* Low vitamin D concentration: ≤50 nmol/L
** Normal vitamin D concentration: >50 nmol/L