| Literature DB >> 27187456 |
Geoffry Smith1,2, Sunil J Wimalawansa3, Arnaud Laillou4, Prak Sophonneary5, Samoeurn Un6, Rathavuth Hong7, Etienne Poirot8, Khov Kuong9,10, Chhoun Chamnan11, Francisco N De Los Reyes12, Frank T Wieringa13.
Abstract
Recent studies have shown that in spite of being generally close to the equator; vitamin D deficiency is common in South East Asian countries. In order to quantify micronutrient status for women and children in Cambodia; a nationally-representative survey was conducted in 2014 linked to the Cambodian Demographic Health Survey. The countrywide median of 25(OH)D was, respectively, 64.9 and 91.1 nmol/L for mothers and children. Based on The Endocrine Society cutoffs (>50<75 nmol/L = insufficiency; ≤50 nmol/L = deficiency); 64.6% of mothers and 34.8% of their children had plasma vitamin D concentrations indicating insufficiency or deficiency. For deficiency alone, 29% of the mothers were found to be vitamin D deficient, but only 13.4% of children. Children who live in urban areas had a 43% higher rate of vitamin D insufficiency versus those who live in rural areas (OR; 1.434; 95% CI: 1.007; 2.041). However, such differences were not observed in their mothers. The high prevalence of vitamin D deficiency is likely in part due to lifestyle choices, including sun avoidance, increasingly predominant indoor work, and covered transport. These survey findings support the need for a broader national Cambodian study incorporating testing of adult men, adolescents and the elderly, and encompassing other parameters such as skeletal health. However, the data presented in this study already show significant deficiencies which need to be addressed and we discuss the benefit of establishing nationally-mandated food fortification programs to enhance the intake of vitamin D.Entities:
Keywords: Cambodia; Demographic Health Survey Nutrition; South East Asia; national survey; vitamin D
Mesh:
Substances:
Year: 2016 PMID: 27187456 PMCID: PMC4882703 DOI: 10.3390/nu8050290
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 5.717
Comparison of relationships between vitamin D concentration status and living area (urban/rural), wealth grouping, and geographic region, among women.
| Comparisons: Women (1) | Vitamin D (1) | |||||||
|---|---|---|---|---|---|---|---|---|
| Mean (nmol/L) | SD (nmol/L) | Median (nmol/L) | 25th Percentile P25 (nmol/L) | 75th Percentile P75 (nmol/L) | ||||
| Total | 725 | 69.7 | 31.2 | 64.9 | 47.5 | 88.2 | - | |
| Living Area | Urban | 148 | 67.7 | 29.7 | 60.6 | 46.6 | 85.7 | 0.301 |
| Rural | 577 | 70.2 | 31.6 | 66.8 | 47.8 | 89.0 | ||
| Wealth Group | Poorest | 155 | 71.7 | 34.2 | 66.6 | 47.8 | 92.3 | 0.358 |
| Poorer | 152 | 72.3 | 31.4 | 69.0 | 50.3 | 93.5 | ||
| Middle | 131 | 67.7 | 30.2 | 63.0 | 43.9 | 88.2 | ||
| Richer | 136 | 71.0 | 31.5 | 66.4 | 48.0 | 90.4 | ||
| Richest | 151 | 65.5 | 28.2 | 61.9 | 46.2 | 79.3 | ||
| Region 2 | Northeast | 101 | 62.0 | 26.7 | 57.1 | 41.9 | 73.8 | 0.001 |
| Southwest | 142 | 77.2 | 33.6 | 73.4 | 54.4 | 99.6 | ||
| Southeast | 235 | 69.8 | 30.0 | 66.2 | 47.6 | 86.7 | ||
| North | 102 | 64.8 | 35.9 | 57.8 | 36.9 | 85.7 | ||
| West | 145 | 71.0 | 28.7 | 67.0 | 51.6 | 84.4 | ||
1 Nonparametric (distribution-free) tests were performed since the Kolmogorov-Smirnov test indicated departure of vitamin D concentration data from normality (p = 0.000). Mann-Whitney Test was applied on two independent samples form living areas. Kruskal-Wallis test was applied on the independent samples with respect to wealth Group and region; 2 region: Northeast (Kratie, Mondol Kiri, Ratanak kiri, Stung Treng); Southwest (Kampong Speu, Kampot, Koh Kong, Sihanouk, Takeo); Southeast (Tboung Khmum, Svay Rieng, Prey Veng, Phnom Penh, Kandal, Kampong Chhnnang, Kampong Cham); North (Banteay Mean Chey, Preah Vihar, Ottar Mean Chey); and West (Siem Reap, Pailin, Pursat, Battambang, Kampong Thom).
Comparison of relationships between the vitamin D status and living area, region, and wealth grouping among mothers.
| Comparisons: Women (2) | Vitamin D Concentration | ||||||
|---|---|---|---|---|---|---|---|
| <25 nmol/L | 25–49.9 nmol/L | 50–74.9 nmol/L | ≥75 nmol/L | ||||
| Total | 725 | 30 | 180 | 258 | 257 | - | |
| 4.1% | 24.9% | 35.6% | 35.4% | ||||
| Living Area | Urban | 148 | 3 | 47 | 50 | 48 | 0.100 |
| 2.0% | 31.8% | 33.8% | 32.4% | ||||
| Rural | 577 | 27 | 133 | 208 | 209 | ||
| 4.7% | 23.1% | 36.0% | 36.2% | ||||
| Wealth quintile | Poorest | 155 | 9 | 35 | 49 | 62 | 0.698 |
| 5.8% | 22.6% | 31.6% | 40.0% | ||||
| Poorer | 152 | 5 | 33 | 59 | 55 | ||
| 3.3% | 21.7% | 38.8% | 36.2% | ||||
| Middle | 131 | 5 | 35 | 50 | 41 | ||
| 3.8% | 26.7% | 38.2% | 31.3% | ||||
| Richer | 136 | 6 | 32 | 45 | 53 | ||
| 4.4% | 23.5% | 33.1% | 39.0% | ||||
| Richest | 151 | 5 | 45 | 55 | 46 | ||
| 3.3% | 29.8% | 36.4% | 30.5% | ||||
| Region | North East | 101 | 3 | 35 | 40 | 23 | 0.000 |
| 3.0% | 34.7% | 39.6% | 22.8% | ||||
| South West | 142 | 7 | 23 | 42 | 70 | ||
| 4.9% | 16.2% | 29.6% | 49.3% | ||||
| South East | 235 | 6 | 63 | 83 | 83 | ||
| 2.6% | 26.8% | 35.3% | 35.3% | ||||
| North | 102 | 10 | 30 | 30 | 32 | ||
| 9.8% | 29.4% | 29.4% | 31.4% | ||||
| West | 145 | 4 | 29 | 63 | 49 | ||
| 2.8% | 20.0% | 43.4% | 33.8% | ||||
Note: * the chi-square test was used.
Comparison of relationships between vitamin D concentration status and living area, wealth group, and age groups of the children.
| Children Comparisons (1) | Vitamin D 1 | |||||||
|---|---|---|---|---|---|---|---|---|
| Mean (nmol/L) | SD (nmol/L) | Median (nmol/L) | 25th Percentile P25 (nmol/L) | 75th Percentile P75 (nmol/L) | ||||
| Total | 781 | 91.1 | 37.3 | 89.5 | 64.7 | 116.0 | - | |
| Living Area | Urban | 164 | 83.3 | 31.8 | 84.4 | 62.0 | 104.4 | 0.001 |
| Rural | 617 | 93.1 | 38.4 | 90.8 | 65.0 | 118.0 | ||
| Wealth Group | Poorest | 188 | 93.2 | 37.5 | 90.5 | 65.2 | 119.5 | 0.076 |
| Poorer | 171 | 95.6 | 37.9 | 95.9 | 65.5 | 119.0 | ||
| Middle | 139 | 91.9 | 35.4 | 89.1 | 66.6 | 116.3 | ||
| Richer | 150 | 84.5 | 38.0 | 81.9 | 58.5 | 107.4 | ||
| Richest | 133 | 88.7 | 37.1 | 88.0 | 63.2 | 112.6 | ||
| Region | Northeast | 109 | 81.3 | 33.5 | 80.7 | 55.4 | 103.4 | 0.001 |
| Southwest | 142 | 97.6 | 35.3 | 93.2 | 73.4 | 120.9 | ||
| Southeast | 269 | 88.9 | 38.3 | 89.2 | 59.4 | 115.7 | ||
| North | 109 | 87.5 | 41.9 | 88.3 | 56.5 | 116.8 | ||
| West | 152 | 98.4 | 34.6 | 94.5 | 73.1 | 120.1 | ||
| Age Group ( | 6–11 months | 41 | 120.2 | 35.1 | 119.8 | 103.5 | 142.2 | 0.000 |
| 12–23 months | 115 | 103.3 | 41.7 | 104.1 | 72.2 | 131.9 | ||
| 24–59 months | 495 | 87.9 | 35.4 | 87.2 | 61.4 | 111.4 | ||
| 60+ months | 128 | 82.8 | 34.8 | 80.9 | 58.2 | 104.9 | ||
1 Parametric tests were performed since the no evidence of departure from normality was detected by the Kolmogorov-Smirnov test (p = 0.669). Unequal variance t-test was applied on two independent samples form living areas. One-way ANOVA was applied on the independent samples with respect to wealth quintile, region and age group; 2 region: Northeast (Kratie, Mondol Kiri, Ratanak kiri, Stung Treng); Southwest (Kampong Speu, Kampot, Koh Kong, Sihanouk, Takeo); Southeast (Tboung Khmum, Svay Rieng, Prey Veng, Phnom Penh, Kandal, Kampong Chhnnang, Kampong Cham); North (Banteay Mean Chey, Preah Vihar, Ottar Mean Chey); and West (Siem Reap, Pailin, Pursat, Battambang, Kampong Thom).
Comparative relationships between vitamin D status, living area, and wealth grouping among children.
| Total | Vitamin D Concentration | ||||||
|---|---|---|---|---|---|---|---|
| Less Than 25 nmol/L | 25–49.9 nmol/L | 50–74.9 nmol/L | ≥75 nmol/L | ||||
| Total | 781 | 23 | 82 | 167 | 509 | - | |
| 2.9% | 10.5% | 21.4% | 65.2% | ||||
| Living Area | Urban | 164 | 6 | 19 | 43 | 96 | 0.234 |
| 3.7% | 11.6% | 26.2% | 58.5% | ||||
| Rural | 617 | 17 | 63 | 124 | 413 | ||
| 2.8% | 10.2% | 20.1% | 66.9% | ||||
| Wealth Group | Poorest | 188 | 4 | 16 | 46 | 122 | 0.332 |
| 2.1% | 8.5% | 24.5% | 64.9% | ||||
| Poorer | 171 | 4 | 17 | 31 | 119 | ||
| 2.3% | 9.9% | 18.1% | 69.6% | ||||
| Middle | 139 | 2 | 14 | 29 | 94 | ||
| 1.4% | 10.1% | 20.9% | 67.6% | ||||
| Richer | 150 | 6 | 21 | 38 | 85 | ||
| 4.0% | 14.0% | 25.3% | 56.7% | ||||
| Richest | 133 | 7 | 14 | 23 | 89 | ||
| 5.3% | 10.5% | 17.3% | 66.9% | ||||
| Region | North East | 109 | 2 | 17 | 28 | 62 | 0.001 |
| 1.8% | 15.6% | 25.7% | 56.9% | ||||
| South West | 142 | 1 | 11 | 25 | 105 | ||
| .7% | 7.7% | 17.6% | 73.9% | ||||
| South East | 269 | 9 | 36 | 57 | 167 | ||
| 3.3% | 13.4% | 21.2% | 62.1% | ||||
| North | 109 | 8 | 14 | 24 | 63 | ||
| 7.3% | 12.8% | 22.0% | 57.8% | ||||
| West | 152 | 3 | 4 | 33 | 112 | ||
| 2.0% | 2.6% | 21.7% | 73.7% | ||||
| Age group ** | 6–11 months | 41 | 0 | 3 | 1 | 37 | 0.002 |
| 0.0% | 7.3% | 2.4% | 90.2% | ||||
| 12–23 months | 115 | 3 | 10 | 16 | 86 | ||
| 2.6% | 8.7% | 13.9% | 74.8% | ||||
| 24–59 months | 495 | 13 | 51 | 121 | 310 | ||
| 2.6% | 10.3% | 24.4% | 62.6% | ||||
| 60+ months | 128 | 7 | 18 | 29 | 74 | ||
| 5.5% | 14.1% | 22.7% | 57.8% | ||||
(*) The Chi-Square test was used. (**) Only 779 had age category data.