| Literature DB >> 32399499 |
Amina Abubakar1,2,3,4, Sarah H Atkinson1,5,6, Agnes M Mutua1,2, Reagan M Mogire1,7, Alison M Elliott8,9, Thomas N Williams1,10,5, Emily L Webb11.
Abstract
Introduction: Vitamin D plays an important role in brain development in experimental studies; however, the effect of vitamin D deficiency on child development remains inadequately characterized. We aimed to estimate the effects of vitamin D deficiency on neurobehavioural outcomes in children up to 18 years of age.Entities:
Keywords: Vitamin D deficiency; brain development; children; cognitive; development; language; motor; neurobehavioural outcomes
Year: 2020 PMID: 32399499 PMCID: PMC7194460 DOI: 10.12688/wellcomeopenres.15730.2
Source DB: PubMed Journal: Wellcome Open Res ISSN: 2398-502X
Figure 1. Factors influencing vitamin D status in children and potential roles of vitamin D in brain development [11– 16, 20– 22].
Figure 2. PRISMA flow chart showing the selection process for studies included in the review.
Figure 3. Sample sizes and types of studies included in the review.
Summary of studies assessing the effect of vitamin D status on child development: characteristics and findings.
| Author, year
| Participants | Age at
| Age at neuro-
| Study design | Domain (tool) | Definition for vitamin D
| 25(OH)D
| Results |
|---|---|---|---|---|---|---|---|---|
| Vitamin D supplementation randomized controlled trials | ||||||||
| Wicklow, 2016
| 55 infants | 3 and 6
| 6 months | RCT: 3 arms
| Motor
| VDS: >75 nmol/L | LC-MS/MS | Infants given 400 IU of
|
| Studies that measured maternal 25(OH)D levels during pregnancy and neurobehavioural outcomes in children after delivery | ||||||||
| López-Vicente,
| 2107
| Mean (SD)
| 4 time-points:
| Cohort | Social competence
| VDD: <50 nmol/L
| HPLC | Maternal 25(OH)D levels
|
| Dhamayanti,
| 141 mother-
| 11 to 14
| 3 time-points: 3,
| Cohort | Motor
| VDD: <25 nmol/L | ELFA | Maternal 25(OH)D levels
|
| Chawla, 2019
| 218 mother-
| 1
st and 2
nd
| 12 to 24 months | Cohort | Behaviour
| 25(OH)D levels were
| EIA | Lower maternal quartiles of
|
| Chi, 2018
| 160 mother-
| 28 weeks (2
nd
| 6 months | Cohort | Mental
| VDD: <50 nmol/L
| ECLIA | Maternal 25(OH)D <50
|
| McCarthy,
| 734 mother-
| Two time-
| 5 years | Cohort | IQ
| VDD: <30 nmol/L
| LC-MS/MS | No association with IQ or
|
| Darling, 2017
| 7065
| Median 29·6
| Motor, socio-
| Cohort | Motor
| VDD: <50 nmol/L
| HPLC | Maternal 25(OH)D
|
| Veena, 2017
| 940 mother-
| 28 to 32 (3
rd
| 9–14 years | Cohort | Cognitive
| VDD: <50 nmol/L
| RIA | No association with
|
| Wang, 2017
| 1244
| Cord blood | 2 years | Cohort | Motor
| VDD: <50 nmol/L
| LC-MS/MS | No association with motor,
|
| Laird, 2017
| 202 mother-
| Maternal
| 5 years | Cohort | Cognitive
| VDS: ≥50 nmol/L
| LC-MS/MS | No association with
|
| Daraki, 2017
| 487 mother-
| 13±2.4 weeks
| 4 years | Cohort | Cognitive
| Tertiles: <38.4 nmol/l;
| CLIA | Maternal 25(OH)D levels
|
| Gould, 2016
| 337 mother-
| Cord blood | Cognitive, motor,
| Cohort | Cognitive
| VDD: <25 nmol/L
| LC-MS/MS | Each 10 nmol/L increase in
|
| Zhu, 2015
| 363 mother-
| Cord blood | 16–18 months | Cohort | Mental
| Quintiles: 5.56-20.8, 20.9-
| RIA | Cord blood 25(OH)D levels
|
| Tylavsky, 2015
| 1020
| 2 nd trimester | 2 years | Cohort | Cognitive
| Categories; <49.9, 50.00-
| EIA | Each 25 nmol/L increase
|
| Hanieh, 2014
| 886 mother-
| 32 weeks (3
rd
| 6 months | Cohort | Cognitive
| VDD: <37.5nmol/L
| LC-MS/MS | Maternal 25(OH)D < 37.5
|
| Keim, 2014
| 3896
| Two time-
| Cognitive and
| Cohort | IQ
| Categories: <25, 25–50,
| LC-MS/MS | Each 5 nmol/L increase in
|
| Strøm, 2014
| 798 mother-
| 30 weeks (2
nd
| 15–16 years | Cohort | School
| VDD: <50 nmol/L
| LC-MS/MS | No association between
|
| Morales, 2012
| 1820
| 11.6%
| 11–23 months | Cohort | Mental
| VDD: <50 nmol/L
| HPLC | Each 25 nmol/L increase
|
| Whitehouse,
| 743 mother-
| 18 weeks (2
nd
| 2 years | Cohort | Language
| VDD: <46 nmol/L | EIA | Maternal 25(OH)D
|
| Gale, 2007
| 178 mother-
| 28–42 weeks
| 9 years | Cohort | Cognitive
| VDS: >50 nmol/L
| RIA | No association with
|
| Studies that measured 25(OH)D levels and neurobehavioural outcomes in children | ||||||||
| Tofail, 2019
| 205 children | 7 months | 6–8 months | Cross-sectional | Cognitive
| VDS≥50 nmol/L
| ELISA | Children with VDD had
|
| Yakah, 2019
| 254 children
| 6–10 years | 3 time-points: at
| Cohort | Behaviour
| VDD: <50 nmol/L
| HPLC-MS/MS | VDD associated with poor
|
| Windham,
| 1189
| New-born
| 4.5– 9 years | Case-control | IQ (Intellectual
| VDS: ≥ 75nmol/L
| LC-MS/MS | No association with IQ. |
| Schmidt, 2019
| 725 children
| New-born
| 24–60 months | Case-control | Cognitive
| VDS: ≥75 nmol/L
| LC-MS/MS | No association with
|
| Tavakolizadeh,
| 186 children | 12 months | 12 months | Cross-sectional | Gross motor
| VDS: >75 nmol/L
| ELISA | VDD associated with
|
| Rahman, 2018
| 1,370
| 11–16 years | 11–16 years | Cross-sectional | Cognitive
| VDS: ≥75 nmol/L
| LC-MS/MS | No association with
|
| Chowdhury,
| 401 pre-
| 6–30 months | 12–36 months | Cohort | Cognitive
| VDD: <25 nmol/L | ECLIA | No association with
|
| Filteau,
| 912 school
| 5 years | 5 years | Cross-sectional | Gross motor
| VDD: <25 nmol/L
| RIA | No association with gross
|
| Trilok-Kumar,
| 904 children | 2 time-points:
| 3–6 years | Cohort (follow
| Gross motor
| VDD: <50 nmol/L | RIA | No association with gross
|
| Nassar, 2012
| 45 school
| School age | School age | Cross-sectional | Cognitive
| VDD: <27.5 nmol/L
| HPLC | VDS associated with
|
| Tolppanen,
| 1790
| 12–16.9 years | 12–16.9 years | Cross-sectional | Cognitive
| Quartiles: 8.7–49.2,
| RIA | No association with
|
AIMS, Alberta Infant Motor Scale; ASQ-3, Ages and Stages Questionnaire-3; BASC-3, Behavioural Assessment System for Children; BSID, Bailey scales of infant development; BSID-CR, Bayley Scales of Infant Development-China Revision; BSID-III, Bayley Scales of Infant Development-version 3; BVRT, Benton's Visual Retention Test; CBLC, Child Behaviour checklist; CELF-P2, Clinical Evaluation of Language Fundamentals Preschool; Second Edition; DAS-II, Differential Ability Scales Second Edition; FT, Finger tapping; LC-MS/MS, liquid chromatography-tandem mass spectrometry; RIA, radioimmunoassay; HPLC, high performance liquid chromatography; HPLC-MS/MS, high performance liquid chromatography tandem mass spectrometry; ECLIA, electro-chemiluminesce inmmunoassay; ELISA, enzyme-linked immunosorbent assay; EIA, enzyme immunoassay; CLIA, chemiluminescence immunoassay; PLS, Preschool Language Scale-Revised Edition; MSCA, McCarthy Scales of Children Abilities; WSAT, Woodcock-Johnson Scholastic Achievement Test; KBIT, Kaufman Brief Intelligence Test; RSPM, Raven’s Standard Progressive Matrices; PPVT-R, Peabody Picture Vocabulary Test-Revised; SBIS, Stanford-Binet Intelligence Scale; WASI, Wechsler Abbreviated Scale of Intelligence; WISC, Wechsler Intelligence Scale for Children; WISC-R, Wechsler Intelligence Scale for Children-revised; WRAT, Wide Range Achievement Test; SDQ, Strengths and Difficulties Questionnaire; KABC-II, Kaufman Assessment Battery for Children-2nd edition; MSEL, Mullen Scales of Early Learning; VABS, Vineland Adaptive Behaviour Scales. IU, international units; VDD, vitamin D deficiency; VDI, vitamin D insufficiency; VDS, vitamin D sufficiency; β, Beta coefficient.