Association of Lower-Extremity Muscle Performance and Physical Activity Level and Intensity in Middle-Aged and Older Adults: A Doubly Labeled Water ... View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2020-08-04

AUTHORS

R. Takae, Y. Hatamoto, J. Yasukata, Y. Kose, T. Komiyama, M. Ikenaga, E. Yoshimura, Y. Yamada, N. Ebine, Yasuki Higaki, H. Tanaka

ABSTRACT

ObjectivesThe purpose of this study was to examine if there is a relationship between lower-extremity muscle performance (LEMP) and physical activity, especially the physical activity level (PAL) value, in community-dwelling middle-aged and older adults.DesignCross-sectional study.SettingCommunity-based.ParticipantsParticipants were 54 community-dwelling and independent middle-aged and older individuals (aged 54–89 years).MeasurementsPhysical activity level was calculated from the total energy expenditure of each participant obtained using the doubly labeled water method (PALDLW) and estimated basal metabolic rate. Daily step count and intensity of physical activity was monitored with a triaxial accelerometer, and LEMP was assessed using the five-repetition sit-to-stand test (STS-5) and vertical jumping (VJ).ResultsThe results of STS-5 nearly negatively correlated with those of PALDLW when analysing the middle-aged and older man and woman, separately. VJ positively correlated with PALDLW when analysing the middle-aged and older men and woman, separately. The relationship between LEMP (e.g. STS-5 and VJ) and PAL were maintained, regardless of sex and body composition. PALDLW was significantly positively correlated with LPA, MVPA, and steps, and significantly negatively correlated with sedentary time. The relationship PALDLW and steps was described as following equation: PALDLW = 0.0000392 × steps +1.531.ConclusionsThese findings suggest that PALDLW is a key contributor to increasing LEMP among middle-aged and older adults. Maintaining high PALDLW may be beneficial to independent living, and participation in recreational and social activities in middle-aged and older adults. More... »

PAGES

1-8

References to SciGraph publications

  • 2011-03-22. Constructing an index of physical fitness age for Japanese elderly based on 7-year longitudinal data: sex differences in estimated physical fitness age in GEROSCIENCE
  • 2007-02-07. Interindividual variability in sleeping metabolic rate in Japanese subjects in EUROPEAN JOURNAL OF CLINICAL NUTRITION
  • 2008-10-14. Light-intensity activities are important for estimating physical activity energy expenditure using uniaxial and triaxial accelerometers in EUROPEAN JOURNAL OF APPLIED PHYSIOLOGY
  • 2014-10. Sarcopenia according to the European Working Group on Sarcopenia in Older People (EWGSOP) versus dynapenia as a risk factor for mortality in the elderly in THE JOURNAL OF NUTRITION, HEALTH & AGING
  • 2018-07-17. Validity of a triaxial accelerometer and simplified physical activity record in older adults aged 64–96 years: a doubly labeled water study in EUROPEAN JOURNAL OF APPLIED PHYSIOLOGY
  • 2007-12-11. Identification of elderly fallers by muscle strength measures in EUROPEAN JOURNAL OF APPLIED PHYSIOLOGY
  • 2014-11-05. Objective and subjective measurement of energy expenditure in older adults: a doubly labeled water study in EUROPEAN JOURNAL OF CLINICAL NUTRITION
  • 2013-06-26. Association between lifestyle and physical activity level in the elderly: a study using doubly labeled water and simplified physical activity record in EUROPEAN JOURNAL OF APPLIED PHYSIOLOGY
  • 2017-03-16. Accelerometer Data Collection and Processing Criteria to Assess Physical Activity and Other Outcomes: A Systematic Review and Practical Considerations in SPORTS MEDICINE
  • 2001-07-06. Physical inactivity as a determinant of the physical activity level in the elderly in INTERNATIONAL JOURNAL OF OBESITY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s12603-020-1449-6

    DOI

    http://dx.doi.org/10.1007/s12603-020-1449-6

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1129900078

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/33155632


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Medical and Health Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1103", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Clinical Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Accelerometry", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Aged", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Aged, 80 and over", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Cross-Sectional Studies", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Exercise", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Female", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Humans", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Lower Extremity", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Male", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Middle Aged", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Muscles", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Water", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Graduate School of Sports and Health Science, Fukuoka University, Fukuoka, Japan", 
              "id": "http://www.grid.ac/institutes/grid.411497.e", 
              "name": [
                "Graduate School of Sports and Health Science, Fukuoka University, Fukuoka, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Takae", 
            "givenName": "R.", 
            "id": "sg:person.011613701051.93", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011613701051.93"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Nutrition and Metabolism, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health, and Nutrition, Tokyo, Japan", 
              "id": "http://www.grid.ac/institutes/grid.482562.f", 
              "name": [
                "Institute for Physical Activity, Fukuoka University, Fukuoka, Japan", 
                "Department of Nutrition and Metabolism, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health, and Nutrition, Tokyo, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Hatamoto", 
            "givenName": "Y.", 
            "id": "sg:person.01044007324.18", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01044007324.18"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Faculty of Sports and Health Science, Fukuoka University, Fukuoka, 8-19-1 Nanakuma Jonan-ku, Fukuoka-shi, 814-0180, Fukuoka, Japan", 
              "id": "http://www.grid.ac/institutes/grid.411497.e", 
              "name": [
                "Institute for Physical Activity, Fukuoka University, Fukuoka, Japan", 
                "Faculty of Sports and Health Science, Fukuoka University, Fukuoka, 8-19-1 Nanakuma Jonan-ku, Fukuoka-shi, 814-0180, Fukuoka, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Yasukata", 
            "givenName": "J.", 
            "id": "sg:person.01307027046.40", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01307027046.40"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Faculty of Sports and Health Science, Fukuoka University, Fukuoka, 8-19-1 Nanakuma Jonan-ku, Fukuoka-shi, 814-0180, Fukuoka, Japan", 
              "id": "http://www.grid.ac/institutes/grid.411497.e", 
              "name": [
                "Institute for Physical Activity, Fukuoka University, Fukuoka, Japan", 
                "Faculty of Sports and Health Science, Fukuoka University, Fukuoka, 8-19-1 Nanakuma Jonan-ku, Fukuoka-shi, 814-0180, Fukuoka, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kose", 
            "givenName": "Y.", 
            "id": "sg:person.012152121601.06", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012152121601.06"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Center for Education in Liberal Arts and Sciences, Osaka University, Osaka, Japan", 
              "id": "http://www.grid.ac/institutes/grid.136593.b", 
              "name": [
                "Graduate School of Sports and Health Science, Fukuoka University, Fukuoka, Japan", 
                "Center for Education in Liberal Arts and Sciences, Osaka University, Osaka, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Komiyama", 
            "givenName": "T.", 
            "id": "sg:person.0617172414.14", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0617172414.14"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Institute for Physical Activity, Fukuoka University, Fukuoka, Japan", 
              "id": "http://www.grid.ac/institutes/grid.411497.e", 
              "name": [
                "Institute for Physical Activity, Fukuoka University, Fukuoka, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ikenaga", 
            "givenName": "M.", 
            "id": "sg:person.0762544055.51", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0762544055.51"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Food and Health Sciences, Prefectural University of Kumamoto Faculty of Environmental and Symbiotic Sciences, Kumamoto, Japan", 
              "id": "http://www.grid.ac/institutes/grid.412533.2", 
              "name": [
                "Department of Food and Health Sciences, Prefectural University of Kumamoto Faculty of Environmental and Symbiotic Sciences, Kumamoto, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Yoshimura", 
            "givenName": "E.", 
            "id": "sg:person.01201132467.12", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01201132467.12"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Nutrition and Metabolism, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health, and Nutrition, Tokyo, Japan", 
              "id": "http://www.grid.ac/institutes/grid.482562.f", 
              "name": [
                "Department of Nutrition and Metabolism, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health, and Nutrition, Tokyo, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Yamada", 
            "givenName": "Y.", 
            "id": "sg:person.0653403746.52", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0653403746.52"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Faculty of Health and Sports Science, Doshisha University, 1-3 Miyakodani Tarara, Kyoto, Japan", 
              "id": "http://www.grid.ac/institutes/grid.255178.c", 
              "name": [
                "Faculty of Health and Sports Science, Doshisha University, 1-3 Miyakodani Tarara, Kyoto, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ebine", 
            "givenName": "N.", 
            "id": "sg:person.01102522727.79", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01102522727.79"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Faculty of Sports and Health Science, Fukuoka University, Fukuoka, 8-19-1 Nanakuma Jonan-ku, Fukuoka-shi, 814-0180, Fukuoka, Japan", 
              "id": "http://www.grid.ac/institutes/grid.411497.e", 
              "name": [
                "Institute for Physical Activity, Fukuoka University, Fukuoka, Japan", 
                "Faculty of Sports and Health Science, Fukuoka University, Fukuoka, 8-19-1 Nanakuma Jonan-ku, Fukuoka-shi, 814-0180, Fukuoka, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Higaki", 
            "givenName": "Yasuki", 
            "id": "sg:person.0646456164.19", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0646456164.19"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Faculty of Sports and Health Science, Fukuoka University, Fukuoka, 8-19-1 Nanakuma Jonan-ku, Fukuoka-shi, 814-0180, Fukuoka, Japan", 
              "id": "http://www.grid.ac/institutes/grid.411497.e", 
              "name": [
                "Institute for Physical Activity, Fukuoka University, Fukuoka, Japan", 
                "Faculty of Sports and Health Science, Fukuoka University, Fukuoka, 8-19-1 Nanakuma Jonan-ku, Fukuoka-shi, 814-0180, Fukuoka, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Tanaka", 
            "givenName": "H.", 
            "id": "sg:person.016042511664.98", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016042511664.98"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/s12603-014-0540-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000772187", 
              "https://doi.org/10.1007/s12603-014-0540-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11357-011-9225-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039354344", 
              "https://doi.org/10.1007/s11357-011-9225-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00421-018-3944-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1105640816", 
              "https://doi.org/10.1007/s00421-018-3944-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00421-013-2682-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053491530", 
              "https://doi.org/10.1007/s00421-013-2682-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s40279-017-0716-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084040156", 
              "https://doi.org/10.1007/s40279-017-0716-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/sj.ijo.0801644", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002738823", 
              "https://doi.org/10.1038/sj.ijo.0801644"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00421-008-0883-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006696857", 
              "https://doi.org/10.1007/s00421-008-0883-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00421-007-0613-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036297093", 
              "https://doi.org/10.1007/s00421-007-0613-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ejcn.2014.241", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045846744", 
              "https://doi.org/10.1038/ejcn.2014.241"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/sj.ejcn.1602645", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004746764", 
              "https://doi.org/10.1038/sj.ejcn.1602645"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2020-08-04", 
        "datePublishedReg": "2020-08-04", 
        "description": "ObjectivesThe purpose of this study was to examine if there is a relationship between lower-extremity muscle performance (LEMP) and physical activity, especially the physical activity level (PAL) value, in community-dwelling middle-aged and older adults.DesignCross-sectional study.SettingCommunity-based.ParticipantsParticipants were 54 community-dwelling and independent middle-aged and older individuals (aged 54\u201389 years).MeasurementsPhysical activity level was calculated from the total energy expenditure of each participant obtained using the doubly labeled water method (PALDLW) and estimated basal metabolic rate. Daily step count and intensity of physical activity was monitored with a triaxial accelerometer, and LEMP was assessed using the five-repetition sit-to-stand test (STS-5) and vertical jumping (VJ).ResultsThe results of STS-5 nearly negatively correlated with those of PALDLW when analysing the middle-aged and older man and woman, separately. VJ positively correlated with PALDLW when analysing the middle-aged and older men and woman, separately. The relationship between LEMP (e.g. STS-5 and VJ) and PAL were maintained, regardless of sex and body composition. PALDLW was significantly positively correlated with LPA, MVPA, and steps, and significantly negatively correlated with sedentary time. The relationship PALDLW and steps was described as following equation: PALDLW = 0.0000392 \u00d7 steps +1.531.ConclusionsThese findings suggest that PALDLW is a key contributor to increasing LEMP among middle-aged and older adults. Maintaining high PALDLW may be beneficial to independent living, and participation in recreational and social activities in middle-aged and older adults.", 
        "genre": "article", 
        "id": "sg:pub.10.1007/s12603-020-1449-6", 
        "isAccessibleForFree": false, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.9193399", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": [
          {
            "id": "sg:journal.1021574", 
            "issn": [
              "1279-7707", 
              "1760-4788"
            ], 
            "name": "The journal of nutrition, health & aging", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "9", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "24"
          }
        ], 
        "keywords": [
          "lower-extremity muscle performance", 
          "older adults", 
          "physical activity", 
          "muscle performance", 
          "older men", 
          "physical activity level values", 
          "physical activity levels", 
          "five-repetition sit", 
          "activity levels", 
          "daily step count", 
          "total energy expenditure", 
          "vertical jumping", 
          "sedentary time", 
          "body composition", 
          "step count", 
          "basal metabolic rate", 
          "older individuals", 
          "ObjectivesThe purpose", 
          "energy expenditure", 
          "accelerometer studies", 
          "adults", 
          "women", 
          "independent living", 
          "STS-5", 
          "ResultsThe results", 
          "men", 
          "metabolic rate", 
          "triaxial accelerometer", 
          "SettingCommunity", 
          "key contributor", 
          "water method", 
          "ParticipantsParticipants", 
          "MVPA", 
          "activity", 
          "social activities", 
          "sex", 
          "levels", 
          "LPA", 
          "study", 
          "association", 
          "count", 
          "sit", 
          "participants", 
          "findings", 
          "living", 
          "individuals", 
          "relationship", 
          "rate", 
          "expenditure", 
          "test", 
          "contributor", 
          "jumping", 
          "level values", 
          "purpose", 
          "intensity", 
          "participation", 
          "accelerometer", 
          "time", 
          "PAL", 
          "results", 
          "values", 
          "step", 
          "method", 
          "middle", 
          "composition", 
          "performance", 
          "water", 
          "equations"
        ], 
        "name": "Association of Lower-Extremity Muscle Performance and Physical Activity Level and Intensity in Middle-Aged and Older Adults: A Doubly Labeled Water and Accelerometer Study", 
        "pagination": "1-8", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1129900078"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s12603-020-1449-6"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "33155632"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s12603-020-1449-6", 
          "https://app.dimensions.ai/details/publication/pub.1129900078"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-12-01T06:41", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20221201/entities/gbq_results/article/article_858.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1007/s12603-020-1449-6"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s12603-020-1449-6'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s12603-020-1449-6'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s12603-020-1449-6'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s12603-020-1449-6'


     

    This table displays all metadata directly associated to this object as RDF triples.

    307 TRIPLES      21 PREDICATES      115 URIs      97 LITERALS      19 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s12603-020-1449-6 schema:about N09a7559de3fc438aaf4c043f4d9f688d
    2 N1352af67c1e04186a095c2724e71e004
    3 N23ba9eafb89548a69dd1a32b93d6bf60
    4 N6247944d6e2e4fb6a8194ab0ed4c40fc
    5 N7a9b5ce0bf21419d89db1d63e8eb7002
    6 N86ee835a6999489e9136d3a8b26a79ac
    7 N8cfb138e6ff24d8a9afb5c16e3a0f8ee
    8 N927cb9df27cc41789cf31c4b54ee8a6f
    9 Nba7fc63ae04b4d4fbb561ae1d783fe7a
    10 Ne63923c8d3f8483083d186c566437767
    11 Ne928bcd3e77e4984838e8e66487ebf65
    12 Nf8f4349886bc492c96e33c533902f843
    13 anzsrc-for:11
    14 anzsrc-for:1103
    15 schema:author N1152e69acaac44259e4e0c5b6c20c9da
    16 schema:citation sg:pub.10.1007/s00421-007-0613-6
    17 sg:pub.10.1007/s00421-008-0883-7
    18 sg:pub.10.1007/s00421-013-2682-z
    19 sg:pub.10.1007/s00421-018-3944-6
    20 sg:pub.10.1007/s11357-011-9225-5
    21 sg:pub.10.1007/s12603-014-0540-2
    22 sg:pub.10.1007/s40279-017-0716-0
    23 sg:pub.10.1038/ejcn.2014.241
    24 sg:pub.10.1038/sj.ejcn.1602645
    25 sg:pub.10.1038/sj.ijo.0801644
    26 schema:datePublished 2020-08-04
    27 schema:datePublishedReg 2020-08-04
    28 schema:description ObjectivesThe purpose of this study was to examine if there is a relationship between lower-extremity muscle performance (LEMP) and physical activity, especially the physical activity level (PAL) value, in community-dwelling middle-aged and older adults.DesignCross-sectional study.SettingCommunity-based.ParticipantsParticipants were 54 community-dwelling and independent middle-aged and older individuals (aged 54–89 years).MeasurementsPhysical activity level was calculated from the total energy expenditure of each participant obtained using the doubly labeled water method (PALDLW) and estimated basal metabolic rate. Daily step count and intensity of physical activity was monitored with a triaxial accelerometer, and LEMP was assessed using the five-repetition sit-to-stand test (STS-5) and vertical jumping (VJ).ResultsThe results of STS-5 nearly negatively correlated with those of PALDLW when analysing the middle-aged and older man and woman, separately. VJ positively correlated with PALDLW when analysing the middle-aged and older men and woman, separately. The relationship between LEMP (e.g. STS-5 and VJ) and PAL were maintained, regardless of sex and body composition. PALDLW was significantly positively correlated with LPA, MVPA, and steps, and significantly negatively correlated with sedentary time. The relationship PALDLW and steps was described as following equation: PALDLW = 0.0000392 × steps +1.531.ConclusionsThese findings suggest that PALDLW is a key contributor to increasing LEMP among middle-aged and older adults. Maintaining high PALDLW may be beneficial to independent living, and participation in recreational and social activities in middle-aged and older adults.
    29 schema:genre article
    30 schema:isAccessibleForFree false
    31 schema:isPartOf N633e7732c5a8447b8d2671a24181dd91
    32 N8c3f5c0e9ee349e7aa5fc36b0453a0a5
    33 sg:journal.1021574
    34 schema:keywords LPA
    35 MVPA
    36 ObjectivesThe purpose
    37 PAL
    38 ParticipantsParticipants
    39 ResultsThe results
    40 STS-5
    41 SettingCommunity
    42 accelerometer
    43 accelerometer studies
    44 activity
    45 activity levels
    46 adults
    47 association
    48 basal metabolic rate
    49 body composition
    50 composition
    51 contributor
    52 count
    53 daily step count
    54 energy expenditure
    55 equations
    56 expenditure
    57 findings
    58 five-repetition sit
    59 independent living
    60 individuals
    61 intensity
    62 jumping
    63 key contributor
    64 level values
    65 levels
    66 living
    67 lower-extremity muscle performance
    68 men
    69 metabolic rate
    70 method
    71 middle
    72 muscle performance
    73 older adults
    74 older individuals
    75 older men
    76 participants
    77 participation
    78 performance
    79 physical activity
    80 physical activity level values
    81 physical activity levels
    82 purpose
    83 rate
    84 relationship
    85 results
    86 sedentary time
    87 sex
    88 sit
    89 social activities
    90 step
    91 step count
    92 study
    93 test
    94 time
    95 total energy expenditure
    96 triaxial accelerometer
    97 values
    98 vertical jumping
    99 water
    100 water method
    101 women
    102 schema:name Association of Lower-Extremity Muscle Performance and Physical Activity Level and Intensity in Middle-Aged and Older Adults: A Doubly Labeled Water and Accelerometer Study
    103 schema:pagination 1-8
    104 schema:productId N19fb5c502b524cc29b8f177ddab924ea
    105 N5eaf7dd2b8ea43db84d709d15d8c917a
    106 Ne114eb934d52440fa6eba736fb7eb1d3
    107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1129900078
    108 https://doi.org/10.1007/s12603-020-1449-6
    109 schema:sdDatePublished 2022-12-01T06:41
    110 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    111 schema:sdPublisher Nde0f841060964e3a8a1ed377cae656ef
    112 schema:url https://doi.org/10.1007/s12603-020-1449-6
    113 sgo:license sg:explorer/license/
    114 sgo:sdDataset articles
    115 rdf:type schema:ScholarlyArticle
    116 N09a7559de3fc438aaf4c043f4d9f688d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    117 schema:name Humans
    118 rdf:type schema:DefinedTerm
    119 N0a7ad41bb8bc403ea5b367eb566e1a77 rdf:first sg:person.0646456164.19
    120 rdf:rest N555a0a09b6ab4e0d86408495a9fb1ef6
    121 N1152e69acaac44259e4e0c5b6c20c9da rdf:first sg:person.011613701051.93
    122 rdf:rest N7142d8c6cec940d4b7c9da53c4d801e7
    123 N1352af67c1e04186a095c2724e71e004 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    124 schema:name Accelerometry
    125 rdf:type schema:DefinedTerm
    126 N185c7fd6b25a43ceb23c353689d1ae44 rdf:first sg:person.0762544055.51
    127 rdf:rest Nd50819d276f5400b821408383f0b17a0
    128 N19fb5c502b524cc29b8f177ddab924ea schema:name dimensions_id
    129 schema:value pub.1129900078
    130 rdf:type schema:PropertyValue
    131 N23ba9eafb89548a69dd1a32b93d6bf60 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    132 schema:name Cross-Sectional Studies
    133 rdf:type schema:DefinedTerm
    134 N516e2a4c36a644aaa608408a7c6b8ce4 rdf:first sg:person.01307027046.40
    135 rdf:rest N8b22263610ff4d7db74409a1e0fd45c6
    136 N555a0a09b6ab4e0d86408495a9fb1ef6 rdf:first sg:person.016042511664.98
    137 rdf:rest rdf:nil
    138 N5eaf7dd2b8ea43db84d709d15d8c917a schema:name pubmed_id
    139 schema:value 33155632
    140 rdf:type schema:PropertyValue
    141 N6247944d6e2e4fb6a8194ab0ed4c40fc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    142 schema:name Lower Extremity
    143 rdf:type schema:DefinedTerm
    144 N633e7732c5a8447b8d2671a24181dd91 schema:volumeNumber 24
    145 rdf:type schema:PublicationVolume
    146 N7142d8c6cec940d4b7c9da53c4d801e7 rdf:first sg:person.01044007324.18
    147 rdf:rest N516e2a4c36a644aaa608408a7c6b8ce4
    148 N7a9b5ce0bf21419d89db1d63e8eb7002 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    149 schema:name Muscles
    150 rdf:type schema:DefinedTerm
    151 N7c94f1f31b2f4ff99a3c00a959261251 rdf:first sg:person.0617172414.14
    152 rdf:rest N185c7fd6b25a43ceb23c353689d1ae44
    153 N7d1acccef3064e408a1547dd32c7b972 rdf:first sg:person.0653403746.52
    154 rdf:rest N98eec9165c9d469c8160e5ab8f312722
    155 N86ee835a6999489e9136d3a8b26a79ac schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    156 schema:name Water
    157 rdf:type schema:DefinedTerm
    158 N8b22263610ff4d7db74409a1e0fd45c6 rdf:first sg:person.012152121601.06
    159 rdf:rest N7c94f1f31b2f4ff99a3c00a959261251
    160 N8c3f5c0e9ee349e7aa5fc36b0453a0a5 schema:issueNumber 9
    161 rdf:type schema:PublicationIssue
    162 N8cfb138e6ff24d8a9afb5c16e3a0f8ee schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    163 schema:name Aged, 80 and over
    164 rdf:type schema:DefinedTerm
    165 N927cb9df27cc41789cf31c4b54ee8a6f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    166 schema:name Male
    167 rdf:type schema:DefinedTerm
    168 N98eec9165c9d469c8160e5ab8f312722 rdf:first sg:person.01102522727.79
    169 rdf:rest N0a7ad41bb8bc403ea5b367eb566e1a77
    170 Nba7fc63ae04b4d4fbb561ae1d783fe7a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    171 schema:name Exercise
    172 rdf:type schema:DefinedTerm
    173 Nd50819d276f5400b821408383f0b17a0 rdf:first sg:person.01201132467.12
    174 rdf:rest N7d1acccef3064e408a1547dd32c7b972
    175 Nde0f841060964e3a8a1ed377cae656ef schema:name Springer Nature - SN SciGraph project
    176 rdf:type schema:Organization
    177 Ne114eb934d52440fa6eba736fb7eb1d3 schema:name doi
    178 schema:value 10.1007/s12603-020-1449-6
    179 rdf:type schema:PropertyValue
    180 Ne63923c8d3f8483083d186c566437767 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    181 schema:name Female
    182 rdf:type schema:DefinedTerm
    183 Ne928bcd3e77e4984838e8e66487ebf65 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    184 schema:name Middle Aged
    185 rdf:type schema:DefinedTerm
    186 Nf8f4349886bc492c96e33c533902f843 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    187 schema:name Aged
    188 rdf:type schema:DefinedTerm
    189 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
    190 schema:name Medical and Health Sciences
    191 rdf:type schema:DefinedTerm
    192 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
    193 schema:name Clinical Sciences
    194 rdf:type schema:DefinedTerm
    195 sg:grant.9193399 http://pending.schema.org/fundedItem sg:pub.10.1007/s12603-020-1449-6
    196 rdf:type schema:MonetaryGrant
    197 sg:journal.1021574 schema:issn 1279-7707
    198 1760-4788
    199 schema:name The journal of nutrition, health & aging
    200 schema:publisher Springer Nature
    201 rdf:type schema:Periodical
    202 sg:person.01044007324.18 schema:affiliation grid-institutes:grid.482562.f
    203 schema:familyName Hatamoto
    204 schema:givenName Y.
    205 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01044007324.18
    206 rdf:type schema:Person
    207 sg:person.01102522727.79 schema:affiliation grid-institutes:grid.255178.c
    208 schema:familyName Ebine
    209 schema:givenName N.
    210 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01102522727.79
    211 rdf:type schema:Person
    212 sg:person.011613701051.93 schema:affiliation grid-institutes:grid.411497.e
    213 schema:familyName Takae
    214 schema:givenName R.
    215 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011613701051.93
    216 rdf:type schema:Person
    217 sg:person.01201132467.12 schema:affiliation grid-institutes:grid.412533.2
    218 schema:familyName Yoshimura
    219 schema:givenName E.
    220 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01201132467.12
    221 rdf:type schema:Person
    222 sg:person.012152121601.06 schema:affiliation grid-institutes:grid.411497.e
    223 schema:familyName Kose
    224 schema:givenName Y.
    225 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012152121601.06
    226 rdf:type schema:Person
    227 sg:person.01307027046.40 schema:affiliation grid-institutes:grid.411497.e
    228 schema:familyName Yasukata
    229 schema:givenName J.
    230 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01307027046.40
    231 rdf:type schema:Person
    232 sg:person.016042511664.98 schema:affiliation grid-institutes:grid.411497.e
    233 schema:familyName Tanaka
    234 schema:givenName H.
    235 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016042511664.98
    236 rdf:type schema:Person
    237 sg:person.0617172414.14 schema:affiliation grid-institutes:grid.136593.b
    238 schema:familyName Komiyama
    239 schema:givenName T.
    240 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0617172414.14
    241 rdf:type schema:Person
    242 sg:person.0646456164.19 schema:affiliation grid-institutes:grid.411497.e
    243 schema:familyName Higaki
    244 schema:givenName Yasuki
    245 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0646456164.19
    246 rdf:type schema:Person
    247 sg:person.0653403746.52 schema:affiliation grid-institutes:grid.482562.f
    248 schema:familyName Yamada
    249 schema:givenName Y.
    250 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0653403746.52
    251 rdf:type schema:Person
    252 sg:person.0762544055.51 schema:affiliation grid-institutes:grid.411497.e
    253 schema:familyName Ikenaga
    254 schema:givenName M.
    255 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0762544055.51
    256 rdf:type schema:Person
    257 sg:pub.10.1007/s00421-007-0613-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036297093
    258 https://doi.org/10.1007/s00421-007-0613-6
    259 rdf:type schema:CreativeWork
    260 sg:pub.10.1007/s00421-008-0883-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006696857
    261 https://doi.org/10.1007/s00421-008-0883-7
    262 rdf:type schema:CreativeWork
    263 sg:pub.10.1007/s00421-013-2682-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1053491530
    264 https://doi.org/10.1007/s00421-013-2682-z
    265 rdf:type schema:CreativeWork
    266 sg:pub.10.1007/s00421-018-3944-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105640816
    267 https://doi.org/10.1007/s00421-018-3944-6
    268 rdf:type schema:CreativeWork
    269 sg:pub.10.1007/s11357-011-9225-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039354344
    270 https://doi.org/10.1007/s11357-011-9225-5
    271 rdf:type schema:CreativeWork
    272 sg:pub.10.1007/s12603-014-0540-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000772187
    273 https://doi.org/10.1007/s12603-014-0540-2
    274 rdf:type schema:CreativeWork
    275 sg:pub.10.1007/s40279-017-0716-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084040156
    276 https://doi.org/10.1007/s40279-017-0716-0
    277 rdf:type schema:CreativeWork
    278 sg:pub.10.1038/ejcn.2014.241 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045846744
    279 https://doi.org/10.1038/ejcn.2014.241
    280 rdf:type schema:CreativeWork
    281 sg:pub.10.1038/sj.ejcn.1602645 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004746764
    282 https://doi.org/10.1038/sj.ejcn.1602645
    283 rdf:type schema:CreativeWork
    284 sg:pub.10.1038/sj.ijo.0801644 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002738823
    285 https://doi.org/10.1038/sj.ijo.0801644
    286 rdf:type schema:CreativeWork
    287 grid-institutes:grid.136593.b schema:alternateName Center for Education in Liberal Arts and Sciences, Osaka University, Osaka, Japan
    288 schema:name Center for Education in Liberal Arts and Sciences, Osaka University, Osaka, Japan
    289 Graduate School of Sports and Health Science, Fukuoka University, Fukuoka, Japan
    290 rdf:type schema:Organization
    291 grid-institutes:grid.255178.c schema:alternateName Faculty of Health and Sports Science, Doshisha University, 1-3 Miyakodani Tarara, Kyoto, Japan
    292 schema:name Faculty of Health and Sports Science, Doshisha University, 1-3 Miyakodani Tarara, Kyoto, Japan
    293 rdf:type schema:Organization
    294 grid-institutes:grid.411497.e schema:alternateName Faculty of Sports and Health Science, Fukuoka University, Fukuoka, 8-19-1 Nanakuma Jonan-ku, Fukuoka-shi, 814-0180, Fukuoka, Japan
    295 Graduate School of Sports and Health Science, Fukuoka University, Fukuoka, Japan
    296 Institute for Physical Activity, Fukuoka University, Fukuoka, Japan
    297 schema:name Faculty of Sports and Health Science, Fukuoka University, Fukuoka, 8-19-1 Nanakuma Jonan-ku, Fukuoka-shi, 814-0180, Fukuoka, Japan
    298 Graduate School of Sports and Health Science, Fukuoka University, Fukuoka, Japan
    299 Institute for Physical Activity, Fukuoka University, Fukuoka, Japan
    300 rdf:type schema:Organization
    301 grid-institutes:grid.412533.2 schema:alternateName Department of Food and Health Sciences, Prefectural University of Kumamoto Faculty of Environmental and Symbiotic Sciences, Kumamoto, Japan
    302 schema:name Department of Food and Health Sciences, Prefectural University of Kumamoto Faculty of Environmental and Symbiotic Sciences, Kumamoto, Japan
    303 rdf:type schema:Organization
    304 grid-institutes:grid.482562.f schema:alternateName Department of Nutrition and Metabolism, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health, and Nutrition, Tokyo, Japan
    305 schema:name Department of Nutrition and Metabolism, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health, and Nutrition, Tokyo, Japan
    306 Institute for Physical Activity, Fukuoka University, Fukuoka, Japan
    307 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...