Developmental Trajectories of Attention in Typically Developing Chinese Children : A Four-Wave Longitudinal Study
We conducted a 4-year longitudinal study to investigate trajectories of attention in a sample of 145 Chinese children. The Test of Everyday Attention was administered and latent growth modeling was used to capture developmental trajectories. We found that children's selective attention showed a linear increase, whereas attentional control and sustained attention increased rapidly then slowed down over 4 years. There was no significant correlation between the slopes of growth model for any subsystems. Girls showed higher initial levels of selective attention than boys, but no difference in growth rate. These findings support different developmental patterns in the attention network systems.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2018 |
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| Erschienen: |
2018 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:43 |
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| Enthalten in: |
Developmental neuropsychology - 43(2018), 6 vom: 08., Seite 479-496 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Yan, Chao [VerfasserIn] |
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| Links: |
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| Themen: |
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| Anmerkungen: |
Date Completed 26.07.2018 Date Revised 07.12.2022 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1080/87565641.2018.1487442 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM285764543 |
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| 520 | |a We conducted a 4-year longitudinal study to investigate trajectories of attention in a sample of 145 Chinese children. The Test of Everyday Attention was administered and latent growth modeling was used to capture developmental trajectories. We found that children's selective attention showed a linear increase, whereas attentional control and sustained attention increased rapidly then slowed down over 4 years. There was no significant correlation between the slopes of growth model for any subsystems. Girls showed higher initial levels of selective attention than boys, but no difference in growth rate. These findings support different developmental patterns in the attention network systems | ||
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| 700 | 1 | |a Wang, Yi-Ji |e verfasserin |4 aut | |
| 700 | 1 | |a Cui, Lixian |e verfasserin |4 aut | |
| 700 | 1 | |a Chan, Raymond C K |e verfasserin |4 aut | |
| 700 | 1 | |a Deng, Ci-Ping |e verfasserin |4 aut | |
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