| Literature DB >> 35349555 |
Lucie Švandová1, Radek Ptáček1, Martina Vňuková1, Hana Ptáčková1, Martin Anders1, Petr Bob1, Simon Weissenberger1, Daniela Marková2, Ivan Sebalo3,4, Jiří Raboch1, Michal Goetz5.
Abstract
BACKGROUND There is a high prevalence of cognitive and socioemotional dysfunction in very low birth weight (VLBW <1500 g) and extremely low birth weight (ELBW <1000 g) children. This study from the Czech Republic aimed to compare the cognitive and socioemotional development at 5 and 9 years of age of children born with VLBW/ELBW with children born with normal birth weight (NBW ≥2500 g). MATERIAL AND METHODS The clinical group consisted of 118 VLBW/ELBW children and the control group consisted of 101 children with NBW at ages 5 to 9 years. The research battery included selected subscales from the Intelligence and Development Scales (IDS), A Developmental Neuropsychological Assessment - second edition (NEPSY-II), and the Behavior Rating Inventory of Executive Function (BRIEF). Data were analyzed using STATA IC v. 15 software and G*Power (descriptive statistic, analysis of variance (ANOVA), correlations, multivariate analysis of variance - MANOVA, post hoc power analysis). RESULTS We found a statistically significant difference in cognitive and socioemotional development between children with VLBW/ELBW and those with NBW. The average intelligence quotient (IQ) of VLBW/ELBW children was 96.38, while that of NBW children was 12.98 points higher (P<0.001). NBW children achieved better results on all subtests of the IDS (P<0.001) as well as in affect recognition (P<0.001). All results for both groups were within normal range. Parents of VLBW/ELBW children did not recognize impaired executive functioning (P=0.494). CONCLUSIONS This study has shown significant cognitive and socioemotional deficit in children born with VLBW and ELBW when evaluated at 5 and 9 years of age.Entities:
Mesh:
Year: 2022 PMID: 35349555 PMCID: PMC8976447 DOI: 10.12659/MSM.935784
Source DB: PubMed Journal: Med Sci Monit ISSN: 1234-1010
Analysis of Variance (ANOVA) comparison of intelligence quotient (IQ) and birth weight.
The mean (M) IQ score was 100 with a standard deviation (SD) of 15. ANOVA revealed significant differences (F [1.217]=41.49, P<0.001). Overall, birth weight explained only ~16% of the variance in IQ. The average IQ of children with very low birth weight (VLBW <1500 g) or extremely low birth weight (ELBW <1000 g) was 96.38, while the average IQ of children with normal birth weight (NBW ≥2500 g) was 12.98 points higher.
| Means for each group | |||||
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| Mean IQ | SD | N | |||
| VLBW/ELBW | 96.38 | 15.95 | 118 | ||
| NBW | 109.36 | 13.49 | 101 | ||
| Total | 102.36 | 16.193 | 219 | ||
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| Between groups | 9175.75 | 1 | 9175.75 | 41.49 | 0.000 |
| Within groups | 47987.28 | 217 | 221.13 | ||
| Total | 57163.04 | 218 | 262.21 | ||
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| VLBW/ELBW | |||||
| NBW | 12.98 | ||||
p<0.001.
Figure 1Scores on subscales of Intelligence and Development Scales (IDS).
IDS subscale scores have a mean (M) of 10 with a standard deviation (SD) of 3. The test scores of children with very low birth weight (VLBW <1500 g) or extremely low birth weight (ELBW <1000 g) and with normal birth weight (NBW ≥2500 g) were not below the standardized average. NBW children performed significantly better than their VLBW/ELBW counterparts on all IDS subtests evaluated. The figure was prepared in Microsoft Excel, version 2112, Microsoft 365.
Post hoc power analysis of intelligence quotient (IQ).
A post-hoc power analysis revealed a statistical power of 0.99.
| Input: Effect size f2(V) | 0.44 | Output: Noncentrality parameter λ | 42.39 |
| α err prob | 0.05 | Critical F | 3.88 |
| Total sample size | 219 | Numerator df | 1 |
| Number of groups | 2 | Denominator df | 217 |
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Correlation matrix of subscales of Intelligence and Development Scales (IDS).
The results revealed a moderate correlation between the results from the IDS subscales.
| Visual perception | Selective attention | Phonological memory | Visual-spatial memory | Auditory memory | Visual-motor skills | Expressive language | Receptive language | |
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| 0.34 | 1 | ||||||
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| 0.24 | 0.28 | 1 | |||||
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| 0.28 | 0.30 | 0.22 | 1 | ||||
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| 0.24 | 0.33 | 0.32 | 0.38 | 1 | |||
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| 0.37 | 0.32 | 0.25 | 0.35 | 0.28 | 1 | ||
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| 0.38 | 0.21 | 0.26 | 0.33 | 0.41 | 0.33 | 1 | |
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| 0.40 | 0.22 | 0.33 | 0.33 | 0.31 | 0.24 | 0.40 | 1 |
Multivariate analysis of variance (MANOVA) for subscales of Intelligence and Development Scales (IDS) and birth weight.
Number of observations (N)=219. The Wilks’ lambda value was significant (F [8.210]=7.73, P<0.001) as were all the IDS subscales. The strongest associations (as per the R2 value) were observed for subscales of visual perception, phonological memory, and selective attention. Children with normal birth weight (NBW ≥2500 g) as a group perform better than children with very low birth weight (VLBW <1500 g) or extremely low birth weight (ELBW <1000 g) on all subscales evaluated.
| Source | Statistic | df | F(df1) | F(df2) | F | Prob >F | ||
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| Birth weight | W | 0.77 | 1 | 8.0 | 210.0 | 7.73 | 0.000 | e |
| P | 0.22 | 8.0 | 210.0 | 7.73 | 0.000 | e | ||
| L | 0.29 | 8.0 | 210.0 | 7.73 | 0.000 | e | ||
| R | 0.29 | 8.0 | 210.0 | 7.73 | 0.000 | e | ||
| Residual | 217 | |||||||
| Total | 218 | |||||||
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| Visual perception | 219 | 2 | 2.73 | 0.12 | 30.56 | <0.001 | ||
| Selective attention | 219 | 2 | 2.77 | 0.10 | 24.19 | <0.001 | ||
| Phonological memory | 219 | 2 | 3.69 | 0.07 | 16.50 | <0.001 | ||
| Visual-spatial memory | 219 | 2 | 2.66 | 0.02 | 5.39 | 0.021 | ||
| Auditory memory | 219 | 2 | 2.92 | 0.05 | 11.82 | <0.001 | ||
| Visual motor skills | 219 | 2 | 2.61 | 0.11 | 26.94 | <0.001 | ||
| Expressive language | 219 | 2 | 2.94 | 0.07 | 17.78 | <0.001 | ||
| Receptive language | 219 | 2 | 2.86 | 0.06 | 16.13 | <0.001 | ||
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| Birth weight | 2.04 | 0.37 | 5.53 | <0.001 | 1.31–2.77 | |||
| Constant | 8.39 | 0.25 | 33.40 | <0.001 | 7.90–8.89 | |||
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| Birth weight | 1.85 | 0.37 | 4.92 | <0.001 | 1.10–2.59 | |||
| Constant | 8.40 | 0.25 | 32.90 | <0.001 | 7.90–8.91 | |||
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| Birth weight | 2.03 | 0.50 | 4.06 | <0.001 | 1.04–3.02 | |||
| Constant | 10.86 | 0.34 | 31.92 | <0.001 | 10.19–11.53 | |||
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| Birth weight | 0.83 | 0.36 | 2.32 | 0.021 | 0.12–1.54 | |||
| Constant | 10.21 | 0.24 | 41.69 | <0.001 | 9.72–10.69 | |||
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| Birth weight | 1.36 | 0.39 | 3.44 | <0.001 | 0.58–2.14 | |||
| Constant | 9.85 | 0.26 | 36.65 | <0.001 | 9.32–10.38 | |||
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| Birth weight | 1.83 | 0.35 | 5.19 | <0.001 | 1.14–2.53 | |||
| Constant | 8.16 | 0.24 | 33.92 | <0.001 | 7.68–8.63 | |||
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| Birth weight | 1.68 | 0.39 | 4.22 | <0.001 | 0.89–2.47 | |||
| Constant | 9.18 | 0.27 | 33.86 | <0.001 | 8.65–9.72 | |||
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| Birth weight | 1.55 | 0.38 | 4.02 | <0.001 | 0.79–2.32 | |||
| Constant | 9.67 | 0.26 | 36.71 | <0.001 | 9.15–10.19 | |||
W – Wilks’ lambda; P – Pillai’s trace; L – Lawley-Hotelling trace; R – Roy’s largest root; e – exact bound on F.
Post hoc power analysis of subscales of Intelligence and Development Scales (IDS).
A post-hoc power analysis of overall cognitive development revealed a high statistical power (0.99).
| Input: Effect size f2(V) | 0.29 | Output: Noncentrality parameter λ | 64.16 |
| α err prob | 0.01 | Critical F | 2.59 |
| Total sample size | 219 | Numerator df | 8 |
| Number of groups | 2 | Denominator df | 210 |
| Response variables | 8 | 0.99 | |
| Pillai V | 0.05 |
η2 ((8×7.73)/(8×7.73+210)=0.22)) was used to calculate the effect size, i.e., f2(V)=0.22/(1–0.22)=0.29.
Analysis of variance (ANOVA) for Affect recognition subtest of Developmental Neuropsychological Assessment, second version (NEPSY-II) and birth weight.
The ANOVA revealed significant differences in socioemotional development (F [1.217]=11.79, P<0.001). Birth weight explained ~4.7% of the total variance in affect recognition.
| Means for each group | |||||
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| Mean IQ | SD | N | |||
| VLBW/ELBW | 9 | 2.89 | 118 | ||
| NBW | 10.30 | 2.70 | 101 | ||
| Total | 9.60 | 2.87 | 219 | ||
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| Between groups | 92.95 | 1 | 92.95 | 11.79 | 0.000 |
| Within groups | 1711.48 | 217 | 7.88 | ||
| Total | 1804.43 | 218 | 8.27 | ||
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| VLBW/ELBW | |||||
| NBW | 1.30 | ||||
p<0.001.
Figure 2Scores on the affect recognition subtest of Developmental Neuropsychological Assessment, second version (NEPSY-II).
Age-adjusted scaled scores include mean (M) 10 with a standard deviation (SD) 3. Children with very low birth weight (VLBW <1500 g) or extremely low birth weight (ELBW <1000 g) achieved an average score of 9 on this evaluation, while children with normal birth weight (NBW ≥2500 g) achieved significantly higher scores. The figure was prepared in Microsoft Excel, version 2112, Microsoft 365.
Post hoc power analysis of Affect recognition subtest of Developmental Neuropsychological Assessment, second version (NEPSY-II).
A post hoc power analysis revealed a high statistical power for this evaluation (0.89).
| Input: Effect size f2(V) | 0.22 | Output: Noncentrality parameter λ | 10.59 |
| α err prob | 0.05 | Critical F | 3.88 |
| Total sample size | 219 | Numerator df | 1 |
| Number of groups | 2 | Denominator df | 217 |
| 0.89 |