| Literature DB >> 34150687 |
Chunhua Song1, Hongzhi Sun2, Ben Wang1, Chunli Song3, Hongying Lu1.
Abstract
Introduction: Undernutrition, defined as stunting, wasting, and underweight, still implicates millions of infants and children worldwide. Micronutrients have pivotal effects on growth rate. The outcomes of vitamin D deficiency on undernutrition indices have stayed controversial. The object of current study is to answer this question: is there any association between vitamin D status and undernutrition indices?Entities:
Keywords: meta-analysis; stunting; undernutrition; underweight; vitamin D; wasting
Year: 2021 PMID: 34150687 PMCID: PMC8211725 DOI: 10.3389/fped.2021.665749
Source DB: PubMed Journal: Front Pediatr ISSN: 2296-2360 Impact factor: 3.418
Figure 1The flow diagram of study selection.
Characteristics of observational studies eligible in the systematic review and meta-analysis.
| Sudfeld et al. ( | Tanzania | HIV-exposed, uninfected infants | Cohort | 873 (male and female) | 5–7 weeks | 18 weeks | Stunting | Baseline maternal factors including age, education, marital status, number of prior pregnancies, household assets, food expenditure per person, underweight, anemia, CD4 T-cell count, and use of antiretrovirals during pregnancy, baseline child factors including sex, exclusive breastfeeding, stunting, wasting, low birth weight, anemia, season of 25(OH)D measurement, and randomized treatment regimen. | 7 |
| Sudfeld et al. ( | Tanzania | HIV-unexposed infants | Cohort | 510 (male and female) | 5–7 weeks | 18 weeks | Stunting | Maternal age, maternal education, parity, wealth tertile, child sex, randomized regimen, low birthweight (<2,500 g), prematurity (<37 weeks), breastfeeding method at 6 weeks of age, and season of 25(OH)D assessment | 7 |
| Mokhtar et al. ( | Ecuador | children | Cross-sectional | 516 (male and female) | 6–36 month | – | Stunting | Age and sex. | 8 |
| Chowdhury ( | India | Children | Cohort | 323 (male and female) | 12–36 month | 6 month | Wasting | Age, sex, breastfeeding status, log transformed annual family income, family structure, mother's years of schooling, father's years of schooling, baseline levels of vitamin B12, folate, anemia status at baseline | 6 |
| Nasiri-abadi et al. ( | Iran | Pre-school children | Cross-sectional | 425 (male and female) | 5–7 years | – | Wasting | Gender, region, birth interval, supplement use (vitamin A and iron supplements), relevant medical history (diarrhea, respiratory infection, and fever), serum level ferritin, vitamin D and zinc, birth weight | 8 |
| Sharif et al. ( | Iran | Toddlers | Cross-sectional | 4,261 (male and female) | 10–36 moth | – | Stunting | Sex and residential area (where appropriate), age, family size, first-rank birth, birth interval with previous child, birthweight, history of diseases (diarrhea, respiratory infection, fever, epitaxy and fauvism), supplement use (including vitamin A, vitamin D, iron and zinc supplements), as well as serum levels of retinol, 25(OH)D3 and zinc, where appropriate. | 9 |
| Chowdhury et al. ( | India | Children | Cohort | 716 (male and female) | 6–30 months | 6–9 years | Stunting | Log folate, log soluble transferrin receptor and log homocysteine level, at baseline and the wealth index, paternal occupational status and maternal education at follow-up and intervention group | 7 |
Figure 2Forest plot derived from random-effects meta-analysis of studies investigating the association between low vs. high serum vitamin D concentration and wasting in children. CI, confidence interval; ES, effect size.
Results of subgroup analysis for vitamin D status and risk of stunting and wasting in children.
| 5 | 4 | 1.10 (0.72, 1.70) | 1.30 (1.04, 1.62) | 0.637 | 0.021 | <0.001 | 0.701 | 81.6 | 0 | |
| Cohort | 3 | 3 | 0.99 (0.75, 1.30) | 1.41 (1.08, 1.84) | 0.948 | 0.012 | 0.599 | 0.880 | 0 | 0 |
| Cross-sectional | 2 | 1 | 0.88 (0.72, 1.06) | 1.08 (0.72, 1.62) | 0.180 | 0.710 | <0.001 | – | 95 | – |
| Infants | 2 | 2 | 0.92 (0.66, 1.29) | 1.45 (1.02, 2.07) | 0.657 | 0.036 | 0.599 | 0.673 | 0 | 0 |
| Children | 3 | 2 | 0.90 (0.76, 1.08) | 1.20 (0.90, 1.60) | 0.288 | 0.202 | <0.001 | 0.448 | 95 | 0 |
| <300 | 3 | 2 | 0.99 (0.75, 1.30) | 1.33 (0.93, 1.90) | 0.948 | 0.117 | 0.227 | 0.886 | 26.4 | 0 |
| ≥300 | 2 | 2 | 0.88 (0.72, 1.06) | 1.28 (0.96, 1.70) | 0.180 | 0.087 | <0.001 | 0.241 | 81.3 | 27.3 |
| HPLC-MC assay | 2 | 2 | 0.92 (0.66, 1.29) | 1.45 (1.02, 2.07) | 0.657 | 0.036 | 0.456 | 0.673 | 0 | 0 |
| Chemiluminescence immunoassay | 3 | 2 | 0.90 (0.76, 1.08) | 1.20 (0.90, 1.60) | 0.288 | 0.202 | <0.001 | 0.448 | 90.5 | 0 |
<100, ≥100 for wasting.
CI, Confidence Interval; ES, Effect Size; HPLC-MC, high-performance liquid chromatography-tandem mass spectrometry.
Figure 3Forest plot derived from random-effects meta-analysis of studies investigating the association between low vs. high serum vitamin D concentration and stunting in children. CI, confidence interval; ES, effect size.
Figure 4Forest plot derived from random-effects meta-analysis of studies investigating the association between low vs. high serum vitamin D concentration and underweight in children. CI, confidence interval; ES, effect size.