[Clusters structure of psychomotor and coordination sphere of primary school children].
Identifieur interne : 000B99 ( Main/Curation ); précédent : 000B98; suivant : 000C00[Clusters structure of psychomotor and coordination sphere of primary school children].
Auteurs : A M Andreeva ; E B AkimovSource :
- Fiziologiia cheloveka [ 0131-1646 ]
Descripteurs français
- KwdFr :
- MESH :
- physiologie : Aptitudes motrices, Développement de l'enfant, Mouvement, Performance psychomotrice.
- Analyse de regroupements, Enfant, Femelle, Humains, Moscou, Mâle, Sports.
English descriptors
- KwdEn :
- MESH :
- geographic : Moscow.
- physiology : Child Development, Motor Skills, Movement, Psychomotor Performance.
- Child, Cluster Analysis, Female, Humans, Male, Sports.
Abstract
The main objective of our research is characterization of various motor profiles among primary school age children. We examined 89 Moscow schoolchildren of 8-10 years old, not involved in sports. We analyzed 25 indices from psychomotor, psychophysiologic, posturography and locomotor testing during our research. Children were divided in 4 groups according to its motor coordination character similarity by applying cluster analysis (k-means method). Thereby we obtained 4 clusters which, as we suppose, can be identified as different types of motor coordination or "individual motor profiles" of 8-10 years old children. The results of our research shows that there are no significant differences in age, gender, body composition within clusters, thus it can be used during sport-selection process. The most typical features of 1st cluster representatives are: the ability to anticipate and a high wrist speed; the 2nd cluster representatives are more successful in rapid, rhythmic, automatic actions, based on a mechanism of intrinsic programming. Representatives of the 3rd cluster are notable for a low level of postural control, smooth, accurate and rhythmic arm actions based on a visual feedback, and advanced sense of tempo and space sense. Representatives of the 4th cluster shows highest level of development of coordination ability, which are significant for them in reaching results in various hard-coordination sports and labor activities.
PubMed: 21950086
Links toward previous steps (curation, corpus...)
- to stream Main, to step Corpus: Pour aller vers cette notice dans l'étape Curation :000B99
Links to Exploration step
pubmed:21950086Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">[Clusters structure of psychomotor and coordination sphere of primary school children].</title><author><name sortKey="Andreeva, A M" sort="Andreeva, A M" uniqKey="Andreeva A" first="A M" last="Andreeva">A M Andreeva</name></author><author><name sortKey="Akimov, E B" sort="Akimov, E B" uniqKey="Akimov E" first="E B" last="Akimov">E B Akimov</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2011">2011 Jul-Aug</date><idno type="RBID">pubmed:21950086</idno><idno type="pmid">21950086</idno><idno type="wicri:Area/Main/Corpus">000B99</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000B99</idno><idno type="wicri:Area/Main/Curation">000B99</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">000B99</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">[Clusters structure of psychomotor and coordination sphere of primary school children].</title><author><name sortKey="Andreeva, A M" sort="Andreeva, A M" uniqKey="Andreeva A" first="A M" last="Andreeva">A M Andreeva</name></author><author><name sortKey="Akimov, E B" sort="Akimov, E B" uniqKey="Akimov E" first="E B" last="Akimov">E B Akimov</name></author></analytic><series><title level="j">Fiziologiia cheloveka</title><idno type="ISSN">0131-1646</idno></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Child (MeSH)</term><term>Child Development (physiology)</term><term>Cluster Analysis (MeSH)</term><term>Female (MeSH)</term><term>Humans (MeSH)</term><term>Male (MeSH)</term><term>Moscow (MeSH)</term><term>Motor Skills (physiology)</term><term>Movement (physiology)</term><term>Psychomotor Performance (physiology)</term><term>Sports (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Analyse de regroupements (MeSH)</term><term>Aptitudes motrices (physiologie)</term><term>Développement de l'enfant (physiologie)</term><term>Enfant (MeSH)</term><term>Femelle (MeSH)</term><term>Humains (MeSH)</term><term>Moscou (MeSH)</term><term>Mouvement (physiologie)</term><term>Mâle (MeSH)</term><term>Performance psychomotrice (physiologie)</term><term>Sports (MeSH)</term></keywords><keywords scheme="MESH" type="geographic" xml:lang="en"><term>Moscow</term></keywords><keywords scheme="MESH" qualifier="physiologie" xml:lang="fr"><term>Aptitudes motrices</term><term>Développement de l'enfant</term><term>Mouvement</term><term>Performance psychomotrice</term></keywords><keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Child Development</term><term>Motor Skills</term><term>Movement</term><term>Psychomotor Performance</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Child</term><term>Cluster Analysis</term><term>Female</term><term>Humans</term><term>Male</term><term>Sports</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Analyse de regroupements</term><term>Enfant</term><term>Femelle</term><term>Humains</term><term>Moscou</term><term>Mâle</term><term>Sports</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The main objective of our research is characterization of various motor profiles among primary school age children. We examined 89 Moscow schoolchildren of 8-10 years old, not involved in sports. We analyzed 25 indices from psychomotor, psychophysiologic, posturography and locomotor testing during our research. Children were divided in 4 groups according to its motor coordination character similarity by applying cluster analysis (k-means method). Thereby we obtained 4 clusters which, as we suppose, can be identified as different types of motor coordination or "individual motor profiles" of 8-10 years old children. The results of our research shows that there are no significant differences in age, gender, body composition within clusters, thus it can be used during sport-selection process. The most typical features of 1st cluster representatives are: the ability to anticipate and a high wrist speed; the 2nd cluster representatives are more successful in rapid, rhythmic, automatic actions, based on a mechanism of intrinsic programming. Representatives of the 3rd cluster are notable for a low level of postural control, smooth, accurate and rhythmic arm actions based on a visual feedback, and advanced sense of tempo and space sense. Representatives of the 4th cluster shows highest level of development of coordination ability, which are significant for them in reaching results in various hard-coordination sports and labor activities.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">21950086</PMID><DateCompleted><Year>2011</Year><Month>10</Month><Day>17</Day></DateCompleted><DateRevised><Year>2011</Year><Month>09</Month><Day>28</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Print">0131-1646</ISSN><JournalIssue CitedMedium="Print"><Volume>37</Volume><Issue>4</Issue><PubDate><MedlineDate>2011 Jul-Aug</MedlineDate></PubDate></JournalIssue><Title>Fiziologiia cheloveka</Title><ISOAbbreviation>Fiziol Cheloveka</ISOAbbreviation></Journal><ArticleTitle>[Clusters structure of psychomotor and coordination sphere of primary school children].</ArticleTitle><Pagination><MedlinePgn>44-54</MedlinePgn></Pagination><Abstract><AbstractText>The main objective of our research is characterization of various motor profiles among primary school age children. We examined 89 Moscow schoolchildren of 8-10 years old, not involved in sports. We analyzed 25 indices from psychomotor, psychophysiologic, posturography and locomotor testing during our research. Children were divided in 4 groups according to its motor coordination character similarity by applying cluster analysis (k-means method). Thereby we obtained 4 clusters which, as we suppose, can be identified as different types of motor coordination or "individual motor profiles" of 8-10 years old children. The results of our research shows that there are no significant differences in age, gender, body composition within clusters, thus it can be used during sport-selection process. The most typical features of 1st cluster representatives are: the ability to anticipate and a high wrist speed; the 2nd cluster representatives are more successful in rapid, rhythmic, automatic actions, based on a mechanism of intrinsic programming. Representatives of the 3rd cluster are notable for a low level of postural control, smooth, accurate and rhythmic arm actions based on a visual feedback, and advanced sense of tempo and space sense. Representatives of the 4th cluster shows highest level of development of coordination ability, which are significant for them in reaching results in various hard-coordination sports and labor activities.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Andreeva</LastName><ForeName>A M</ForeName><Initials>AM</Initials></Author><Author ValidYN="Y"><LastName>Akimov</LastName><ForeName>E B</ForeName><Initials>EB</Initials></Author></AuthorList><Language>rus</Language><PublicationTypeList><PublicationType UI="D004740">English Abstract</PublicationType><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>Russia (Federation)</Country><MedlineTA>Fiziol Cheloveka</MedlineTA><NlmUniqueID>7603567</NlmUniqueID><ISSNLinking>0131-1646</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D002648" MajorTopicYN="N">Child</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002657" MajorTopicYN="N">Child Development</DescriptorName><QualifierName UI="Q000502" MajorTopicYN="Y">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D016000" MajorTopicYN="N">Cluster Analysis</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D009031" MajorTopicYN="N" Type="Geographic">Moscow</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D009048" MajorTopicYN="N">Motor Skills</DescriptorName><QualifierName UI="Q000502" MajorTopicYN="Y">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D009068" MajorTopicYN="N">Movement</DescriptorName><QualifierName UI="Q000502" MajorTopicYN="N">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D011597" MajorTopicYN="N">Psychomotor Performance</DescriptorName><QualifierName UI="Q000502" MajorTopicYN="Y">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D013177" MajorTopicYN="N">Sports</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2011</Year><Month>9</Month><Day>29</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2011</Year><Month>9</Month><Day>29</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2011</Year><Month>10</Month><Day>18</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">21950086</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Sante/explor/PosturoV1/Data/Main/Curation
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000B99 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Curation/biblio.hfd -nk 000B99 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Sante
|area= PosturoV1
|flux= Main
|étape= Curation
|type= RBID
|clé= pubmed:21950086
|texte= [Clusters structure of psychomotor and coordination sphere of primary school children].
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Curation/RBID.i -Sk "pubmed:21950086" \
| HfdSelect -Kh $EXPLOR_AREA/Data/Main/Curation/biblio.hfd \
| NlmPubMed2Wicri -a PosturoV1
| This area was generated with Dilib version V0.6.37. |  |