Examining effects of habitual physical activity and body composition on bone structure in early post-menopausal women: a pQCT analysis View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2021-09-11

AUTHORS

L. E. Flores, S. Nelson, N. Waltman, K. Kupzyk, J. Lappe, L. Mack, L. D. Bilek

ABSTRACT

After menopause, bones decline in structure and can break more easily. Physical activity can strengthen bones. This study investigated how activity and body composition can impact bone structure in post-menopausal women. Higher levels of physical activity were positively associated with bone structure at the lower leg.PurposeThe menopausal transition is characterized by dramatic bone loss, leading to an increased risk of fracture. Few studies have examined how modifiable risk factors influence bone structure. Thus, the objective of this cross-sectional study was to examine the relationship between habitual physical activity (PA), body composition, and bone structure in post-menopausal women with low bone mass.MethodsData was analyzed from 276 post-menopausal women with low bone mass enrolled in the Heartland Osteoporosis Prevention Study. Body composition and bone structure measures were collected using dual X-ray absorptiometry (DXA) and peripheral quantitative computed tomography (pQCT) at the tibia. Habitual PA was collected using the Human Activity Profile questionnaire. Multiple regression analysis was used to determine the relative impact of habitual PA and body composition on bone structure measures (density, area, and strength). Direct and/or indirect effects of PA on bone outcomes were assessed by path analysis.ResultsMean (± SD) age of participants was 54.5 (± 3.2) years and average BMI was 25.7 (± 4.7). Mean T-score of the total lumber spine and hip were − 1.5 (± .6) and − 0.8 (± .59), respectively, with all women classified with low bone mass. Habitual PA had a significant positive effect on bone area and strength measures at the 66% site, and trend effects at the 4% site. Lean mass had a significant positive effect on area and strength at the 66% site and 4% site. Fat mass showed no effect at the 66% site, with a positive effect on density and strength at the 4% site.ConclusionIncreased habitual activity was related to improved bone structure of the tibia. Our results in post-menopausal women emphasize that PA and lean mass preservation are important for maintaining bone structure in the years following menopause. More... »

PAGES

425-433

References to SciGraph publications

  • 2011-08-03. The effect of exercise on pQCT parameters of bone structure and strength in postmenopausal women—a systematic review and meta-analysis of randomized controlled trials in OSTEOPOROSIS INTERNATIONAL
  • 2013-01-10. Effects of exercise on fracture reduction in older adults in OSTEOPOROSIS INTERNATIONAL
  • 2011-07-21. Interpretation and use of FRAX in clinical practice in OSTEOPOROSIS INTERNATIONAL
  • 2008-08. Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models in BEHAVIOR RESEARCH METHODS
  • 2020-05-12. Effects of dynamic resistance exercise on bone mineral density in postmenopausal women: a systematic review and meta-analysis with special emphasis on exercise parameters in OSTEOPOROSIS INTERNATIONAL
  • 2017-02-04. Low-trauma fractures without osteoporosis in OSTEOPOROSIS INTERNATIONAL
  • 2016-12-13. Habitual levels of higher, but not medium or low, impact physical activity are positively related to lower limb bone strength in older women: findings from a population-based study using accelerometers to classify impact magnitude in OSTEOPOROSIS INTERNATIONAL
  • 2016-09-26. Peripheral quantitative computed tomography (pQCT) for the assessment of bone strength in most of bone affecting conditions in developmental age: a review in ITALIAN JOURNAL OF PEDIATRICS
  • 2016-08-30. Protocol for a randomized controlled trial to compare bone-loading exercises with risedronate for preventing bone loss in osteopenic postmenopausal women in BMC WOMEN'S HEALTH
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s00198-021-06146-4

    DOI

    http://dx.doi.org/10.1007/s00198-021-06146-4

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1141065777

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/34510230


    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": "Absorptiometry, Photon", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Body Composition", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Bone Density", 
            "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": "Middle Aged", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Postmenopause", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "College of Allied Health Professions, 984000 Nebraska Medical Center, 68198-4000, Omaha, NE, USA", 
              "id": "http://www.grid.ac/institutes/grid.429696.6", 
              "name": [
                "College of Allied Health Professions, 984000 Nebraska Medical Center, 68198-4000, Omaha, NE, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Flores", 
            "givenName": "L. E.", 
            "id": "sg:person.014016352363.30", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014016352363.30"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "College of Allied Health Professions, 984000 Nebraska Medical Center, 68198-4000, Omaha, NE, USA", 
              "id": "http://www.grid.ac/institutes/grid.429696.6", 
              "name": [
                "College of Allied Health Professions, 984000 Nebraska Medical Center, 68198-4000, Omaha, NE, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Nelson", 
            "givenName": "S.", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Lincoln Division, University of Nebraska Medical Center College of Nursing, Lincoln, NE, USA", 
              "id": "http://www.grid.ac/institutes/grid.266813.8", 
              "name": [
                "Lincoln Division, University of Nebraska Medical Center College of Nursing, Lincoln, NE, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Waltman", 
            "givenName": "N.", 
            "id": "sg:person.0765272574.62", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0765272574.62"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Center for Nursing Science, University of Nebraska Medical Center, Omaha, NE, USA", 
              "id": "http://www.grid.ac/institutes/grid.266813.8", 
              "name": [
                "Center for Nursing Science, University of Nebraska Medical Center, Omaha, NE, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kupzyk", 
            "givenName": "K.", 
            "id": "sg:person.01210654346.14", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01210654346.14"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Creighton Osteoporosis Research Center, Omaha, NE, USA", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "Creighton Osteoporosis Research Center, Omaha, NE, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Lappe", 
            "givenName": "J.", 
            "id": "sg:person.0714345342.23", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0714345342.23"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Diabetes, Endocrinology, & Metabolism, Nebraska Medicine, Omaha, NE, USA", 
              "id": "http://www.grid.ac/institutes/grid.429696.6", 
              "name": [
                "Diabetes, Endocrinology, & Metabolism, Nebraska Medicine, Omaha, NE, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Mack", 
            "givenName": "L.", 
            "id": "sg:person.012673232265.95", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012673232265.95"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "College of Allied Health Professions, 984000 Nebraska Medical Center, 68198-4000, Omaha, NE, USA", 
              "id": "http://www.grid.ac/institutes/grid.429696.6", 
              "name": [
                "College of Allied Health Professions, 984000 Nebraska Medical Center, 68198-4000, Omaha, NE, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Bilek", 
            "givenName": "L. \n                D.", 
            "id": "sg:person.0660737247.10", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0660737247.10"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/s00198-016-3863-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005573112", 
              "https://doi.org/10.1007/s00198-016-3863-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00198-011-1734-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040694583", 
              "https://doi.org/10.1007/s00198-011-1734-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13052-016-0297-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020873301", 
              "https://doi.org/10.1186/s13052-016-0297-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00198-012-2248-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045834134", 
              "https://doi.org/10.1007/s00198-012-2248-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00198-020-05441-w", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1127543132", 
              "https://doi.org/10.1007/s00198-020-05441-w"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00198-017-3921-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1083539585", 
              "https://doi.org/10.1007/s00198-017-3921-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.3758/brm.40.3.879", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030761931", 
              "https://doi.org/10.3758/brm.40.3.879"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00198-011-1713-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043773725", 
              "https://doi.org/10.1007/s00198-011-1713-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12905-016-0339-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015577465", 
              "https://doi.org/10.1186/s12905-016-0339-x"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2021-09-11", 
        "datePublishedReg": "2021-09-11", 
        "description": "After menopause, bones decline in structure and can break more easily. Physical activity can strengthen bones. This study investigated how activity and body composition can impact bone structure in post-menopausal women. Higher levels of physical activity were positively associated with bone structure at the lower leg.PurposeThe menopausal transition is characterized by dramatic bone loss, leading to an increased risk of fracture. Few studies have examined how modifiable risk factors influence bone structure. Thus, the objective of this cross-sectional study was to examine the relationship between habitual physical activity (PA), body composition, and bone structure in post-menopausal women with low bone mass.MethodsData was analyzed from 276 post-menopausal women with low bone mass enrolled in the Heartland Osteoporosis Prevention Study. Body composition and bone structure measures were collected using dual X-ray absorptiometry (DXA) and peripheral quantitative computed tomography (pQCT) at the tibia. Habitual PA was collected using the Human Activity Profile questionnaire. Multiple regression analysis was used to determine the relative impact of habitual PA and body composition on bone structure measures (density, area, and strength). Direct and/or indirect effects of PA on bone outcomes were assessed by path analysis.ResultsMean (\u00b1 SD) age of participants was 54.5 (\u00b1 3.2) years and average BMI was 25.7\u00a0(\u00b1 4.7). Mean T-score of the total lumber spine and hip were\u2009\u2212\u20091.5 (\u00b1 .6) and\u2009\u2212\u20090.8 (\u00b1 .59), respectively, with all women classified with low bone mass. Habitual PA had a significant positive effect on bone area and strength measures at the 66% site, and trend effects at the 4% site. Lean mass had a significant positive effect on area and strength at the 66% site and 4% site. Fat mass showed no effect at the 66% site, with a positive effect on density and strength at the 4% site.ConclusionIncreased habitual activity was related to improved bone structure of the tibia. Our results in post-menopausal women emphasize that PA and lean mass preservation are important for maintaining bone structure in the years following menopause.", 
        "genre": "article", 
        "id": "sg:pub.10.1007/s00198-021-06146-4", 
        "isAccessibleForFree": false, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.3806235", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": [
          {
            "id": "sg:journal.1100834", 
            "issn": [
              "0937-941X", 
              "1433-2965"
            ], 
            "name": "Osteoporosis International", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "2", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "33"
          }
        ], 
        "keywords": [
          "habitual physical activity", 
          "post-menopausal women", 
          "low bone mass", 
          "peripheral quantitative computed tomography", 
          "dual X-ray absorptiometry", 
          "physical activity", 
          "body composition", 
          "bone mass", 
          "bone structure", 
          "Human Activity Profile questionnaire", 
          "early post-menopausal women", 
          "Osteoporosis Prevention Study", 
          "improved bone structure", 
          "modifiable risk factors", 
          "dramatic bone loss", 
          "risk of fracture", 
          "cross-sectional study", 
          "quantitative computed tomography", 
          "X-ray absorptiometry", 
          "mean T-score", 
          "ResultsMean age", 
          "bone outcomes", 
          "average BMI", 
          "bone loss", 
          "menopausal transition", 
          "risk factors", 
          "Prevention Study", 
          "pQCT analysis", 
          "fat mass", 
          "lean mass", 
          "computed tomography", 
          "lumber spine", 
          "lower leg", 
          "T-score", 
          "Profile questionnaire", 
          "bone area", 
          "habitual activity", 
          "women", 
          "mass preservation", 
          "menopause", 
          "multiple regression analysis", 
          "regression analysis", 
          "strength measures", 
          "tibia", 
          "bone", 
          "positive effect", 
          "high levels", 
          "BMI", 
          "MethodsData", 
          "activity", 
          "absorptiometry", 
          "years", 
          "hip", 
          "study", 
          "spine", 
          "tomography", 
          "outcomes", 
          "age", 
          "measures", 
          "effect", 
          "risk", 
          "structure measures", 
          "significant positive effect", 
          "questionnaire", 
          "leg", 
          "mass", 
          "fractures", 
          "indirect effects", 
          "participants", 
          "sites", 
          "levels", 
          "factors", 
          "relative impact", 
          "analysis", 
          "preservation", 
          "loss", 
          "path analysis", 
          "area", 
          "objective", 
          "relationship", 
          "impact", 
          "results", 
          "composition", 
          "strength", 
          "density", 
          "structure", 
          "transition"
        ], 
        "name": "Examining effects of habitual physical activity and body composition on bone structure in early post-menopausal women: a pQCT analysis", 
        "pagination": "425-433", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1141065777"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s00198-021-06146-4"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "34510230"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s00198-021-06146-4", 
          "https://app.dimensions.ai/details/publication/pub.1141065777"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-12-01T06:42", 
        "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_880.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1007/s00198-021-06146-4"
      }
    ]
     

    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/s00198-021-06146-4'

    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/s00198-021-06146-4'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00198-021-06146-4'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00198-021-06146-4'


     

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

    273 TRIPLES      21 PREDICATES      130 URIs      113 LITERALS      16 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s00198-021-06146-4 schema:about N21269cdab3a44e8c90da9c5ac99f9014
    2 N2e372d0e64b94145ae0a70af4d384243
    3 N488c1258e0e245b88da16de665611d0b
    4 N506c9ce56dac496cb2b94d0e5e9260df
    5 N5d1c68d5cca148359df9390de9e7fe56
    6 N6d892ec0775540948c6cb4632cedc33b
    7 N9cc323c8e31d4745bff5eddd115db2d6
    8 Nab52fc75b1d040688053c0e71e78d8a7
    9 Nbd6e8a9a087848368ed92ac99eed210b
    10 anzsrc-for:11
    11 anzsrc-for:1103
    12 schema:author N9cfa0e5683b14d7393d32fee596b270c
    13 schema:citation sg:pub.10.1007/s00198-011-1713-z
    14 sg:pub.10.1007/s00198-011-1734-7
    15 sg:pub.10.1007/s00198-012-2248-7
    16 sg:pub.10.1007/s00198-016-3863-5
    17 sg:pub.10.1007/s00198-017-3921-7
    18 sg:pub.10.1007/s00198-020-05441-w
    19 sg:pub.10.1186/s12905-016-0339-x
    20 sg:pub.10.1186/s13052-016-0297-9
    21 sg:pub.10.3758/brm.40.3.879
    22 schema:datePublished 2021-09-11
    23 schema:datePublishedReg 2021-09-11
    24 schema:description After menopause, bones decline in structure and can break more easily. Physical activity can strengthen bones. This study investigated how activity and body composition can impact bone structure in post-menopausal women. Higher levels of physical activity were positively associated with bone structure at the lower leg.PurposeThe menopausal transition is characterized by dramatic bone loss, leading to an increased risk of fracture. Few studies have examined how modifiable risk factors influence bone structure. Thus, the objective of this cross-sectional study was to examine the relationship between habitual physical activity (PA), body composition, and bone structure in post-menopausal women with low bone mass.MethodsData was analyzed from 276 post-menopausal women with low bone mass enrolled in the Heartland Osteoporosis Prevention Study. Body composition and bone structure measures were collected using dual X-ray absorptiometry (DXA) and peripheral quantitative computed tomography (pQCT) at the tibia. Habitual PA was collected using the Human Activity Profile questionnaire. Multiple regression analysis was used to determine the relative impact of habitual PA and body composition on bone structure measures (density, area, and strength). Direct and/or indirect effects of PA on bone outcomes were assessed by path analysis.ResultsMean (± SD) age of participants was 54.5 (± 3.2) years and average BMI was 25.7 (± 4.7). Mean T-score of the total lumber spine and hip were − 1.5 (± .6) and − 0.8 (± .59), respectively, with all women classified with low bone mass. Habitual PA had a significant positive effect on bone area and strength measures at the 66% site, and trend effects at the 4% site. Lean mass had a significant positive effect on area and strength at the 66% site and 4% site. Fat mass showed no effect at the 66% site, with a positive effect on density and strength at the 4% site.ConclusionIncreased habitual activity was related to improved bone structure of the tibia. Our results in post-menopausal women emphasize that PA and lean mass preservation are important for maintaining bone structure in the years following menopause.
    25 schema:genre article
    26 schema:isAccessibleForFree false
    27 schema:isPartOf N614c4e548cb8421892af0a671cc4213e
    28 Ncd7c4550d0964c06ac3b13c5ca726be8
    29 sg:journal.1100834
    30 schema:keywords BMI
    31 Human Activity Profile questionnaire
    32 MethodsData
    33 Osteoporosis Prevention Study
    34 Prevention Study
    35 Profile questionnaire
    36 ResultsMean age
    37 T-score
    38 X-ray absorptiometry
    39 absorptiometry
    40 activity
    41 age
    42 analysis
    43 area
    44 average BMI
    45 body composition
    46 bone
    47 bone area
    48 bone loss
    49 bone mass
    50 bone outcomes
    51 bone structure
    52 composition
    53 computed tomography
    54 cross-sectional study
    55 density
    56 dramatic bone loss
    57 dual X-ray absorptiometry
    58 early post-menopausal women
    59 effect
    60 factors
    61 fat mass
    62 fractures
    63 habitual activity
    64 habitual physical activity
    65 high levels
    66 hip
    67 impact
    68 improved bone structure
    69 indirect effects
    70 lean mass
    71 leg
    72 levels
    73 loss
    74 low bone mass
    75 lower leg
    76 lumber spine
    77 mass
    78 mass preservation
    79 mean T-score
    80 measures
    81 menopausal transition
    82 menopause
    83 modifiable risk factors
    84 multiple regression analysis
    85 objective
    86 outcomes
    87 pQCT analysis
    88 participants
    89 path analysis
    90 peripheral quantitative computed tomography
    91 physical activity
    92 positive effect
    93 post-menopausal women
    94 preservation
    95 quantitative computed tomography
    96 questionnaire
    97 regression analysis
    98 relationship
    99 relative impact
    100 results
    101 risk
    102 risk factors
    103 risk of fracture
    104 significant positive effect
    105 sites
    106 spine
    107 strength
    108 strength measures
    109 structure
    110 structure measures
    111 study
    112 tibia
    113 tomography
    114 transition
    115 women
    116 years
    117 schema:name Examining effects of habitual physical activity and body composition on bone structure in early post-menopausal women: a pQCT analysis
    118 schema:pagination 425-433
    119 schema:productId N9252656c2a4748c594f7a72635e90ac5
    120 N9c51f446af504a84b91504282044412f
    121 Nb5f6162286a94d2284782cec4b8eb29e
    122 schema:sameAs https://app.dimensions.ai/details/publication/pub.1141065777
    123 https://doi.org/10.1007/s00198-021-06146-4
    124 schema:sdDatePublished 2022-12-01T06:42
    125 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    126 schema:sdPublisher N0d28587a9f9f44fabf03d2c80c77f90a
    127 schema:url https://doi.org/10.1007/s00198-021-06146-4
    128 sgo:license sg:explorer/license/
    129 sgo:sdDataset articles
    130 rdf:type schema:ScholarlyArticle
    131 N0d28587a9f9f44fabf03d2c80c77f90a schema:name Springer Nature - SN SciGraph project
    132 rdf:type schema:Organization
    133 N16131585739c4020a17354f791947e3f rdf:first sg:person.01210654346.14
    134 rdf:rest Nac177a8457894704958fed97013d290c
    135 N21269cdab3a44e8c90da9c5ac99f9014 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    136 schema:name Postmenopause
    137 rdf:type schema:DefinedTerm
    138 N2e372d0e64b94145ae0a70af4d384243 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    139 schema:name Exercise
    140 rdf:type schema:DefinedTerm
    141 N488c1258e0e245b88da16de665611d0b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    142 schema:name Middle Aged
    143 rdf:type schema:DefinedTerm
    144 N4a4daeb6d630446d91f44f560a705cd1 rdf:first sg:person.012673232265.95
    145 rdf:rest Nc99f8d478d2041d28521906c7e939250
    146 N506c9ce56dac496cb2b94d0e5e9260df schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    147 schema:name Body Composition
    148 rdf:type schema:DefinedTerm
    149 N5d1c68d5cca148359df9390de9e7fe56 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    150 schema:name Absorptiometry, Photon
    151 rdf:type schema:DefinedTerm
    152 N614c4e548cb8421892af0a671cc4213e schema:issueNumber 2
    153 rdf:type schema:PublicationIssue
    154 N6d892ec0775540948c6cb4632cedc33b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    155 schema:name Female
    156 rdf:type schema:DefinedTerm
    157 N799134f372df4381b03ad9338e3cfe11 schema:affiliation grid-institutes:grid.429696.6
    158 schema:familyName Nelson
    159 schema:givenName S.
    160 rdf:type schema:Person
    161 N9252656c2a4748c594f7a72635e90ac5 schema:name pubmed_id
    162 schema:value 34510230
    163 rdf:type schema:PropertyValue
    164 N9c51f446af504a84b91504282044412f schema:name dimensions_id
    165 schema:value pub.1141065777
    166 rdf:type schema:PropertyValue
    167 N9cc323c8e31d4745bff5eddd115db2d6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    168 schema:name Humans
    169 rdf:type schema:DefinedTerm
    170 N9cfa0e5683b14d7393d32fee596b270c rdf:first sg:person.014016352363.30
    171 rdf:rest Nb8f01ac6e87b47d3a6be28f0223ab937
    172 Na802eae27714457ca43da3bcecbfc2fe rdf:first sg:person.0765272574.62
    173 rdf:rest N16131585739c4020a17354f791947e3f
    174 Nab52fc75b1d040688053c0e71e78d8a7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    175 schema:name Cross-Sectional Studies
    176 rdf:type schema:DefinedTerm
    177 Nac177a8457894704958fed97013d290c rdf:first sg:person.0714345342.23
    178 rdf:rest N4a4daeb6d630446d91f44f560a705cd1
    179 Nb5f6162286a94d2284782cec4b8eb29e schema:name doi
    180 schema:value 10.1007/s00198-021-06146-4
    181 rdf:type schema:PropertyValue
    182 Nb8f01ac6e87b47d3a6be28f0223ab937 rdf:first N799134f372df4381b03ad9338e3cfe11
    183 rdf:rest Na802eae27714457ca43da3bcecbfc2fe
    184 Nbd6e8a9a087848368ed92ac99eed210b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    185 schema:name Bone Density
    186 rdf:type schema:DefinedTerm
    187 Nc99f8d478d2041d28521906c7e939250 rdf:first sg:person.0660737247.10
    188 rdf:rest rdf:nil
    189 Ncd7c4550d0964c06ac3b13c5ca726be8 schema:volumeNumber 33
    190 rdf:type schema:PublicationVolume
    191 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
    192 schema:name Medical and Health Sciences
    193 rdf:type schema:DefinedTerm
    194 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
    195 schema:name Clinical Sciences
    196 rdf:type schema:DefinedTerm
    197 sg:grant.3806235 http://pending.schema.org/fundedItem sg:pub.10.1007/s00198-021-06146-4
    198 rdf:type schema:MonetaryGrant
    199 sg:journal.1100834 schema:issn 0937-941X
    200 1433-2965
    201 schema:name Osteoporosis International
    202 schema:publisher Springer Nature
    203 rdf:type schema:Periodical
    204 sg:person.01210654346.14 schema:affiliation grid-institutes:grid.266813.8
    205 schema:familyName Kupzyk
    206 schema:givenName K.
    207 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01210654346.14
    208 rdf:type schema:Person
    209 sg:person.012673232265.95 schema:affiliation grid-institutes:grid.429696.6
    210 schema:familyName Mack
    211 schema:givenName L.
    212 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012673232265.95
    213 rdf:type schema:Person
    214 sg:person.014016352363.30 schema:affiliation grid-institutes:grid.429696.6
    215 schema:familyName Flores
    216 schema:givenName L. E.
    217 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014016352363.30
    218 rdf:type schema:Person
    219 sg:person.0660737247.10 schema:affiliation grid-institutes:grid.429696.6
    220 schema:familyName Bilek
    221 schema:givenName L. D.
    222 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0660737247.10
    223 rdf:type schema:Person
    224 sg:person.0714345342.23 schema:affiliation grid-institutes:None
    225 schema:familyName Lappe
    226 schema:givenName J.
    227 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0714345342.23
    228 rdf:type schema:Person
    229 sg:person.0765272574.62 schema:affiliation grid-institutes:grid.266813.8
    230 schema:familyName Waltman
    231 schema:givenName N.
    232 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0765272574.62
    233 rdf:type schema:Person
    234 sg:pub.10.1007/s00198-011-1713-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1043773725
    235 https://doi.org/10.1007/s00198-011-1713-z
    236 rdf:type schema:CreativeWork
    237 sg:pub.10.1007/s00198-011-1734-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040694583
    238 https://doi.org/10.1007/s00198-011-1734-7
    239 rdf:type schema:CreativeWork
    240 sg:pub.10.1007/s00198-012-2248-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045834134
    241 https://doi.org/10.1007/s00198-012-2248-7
    242 rdf:type schema:CreativeWork
    243 sg:pub.10.1007/s00198-016-3863-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005573112
    244 https://doi.org/10.1007/s00198-016-3863-5
    245 rdf:type schema:CreativeWork
    246 sg:pub.10.1007/s00198-017-3921-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083539585
    247 https://doi.org/10.1007/s00198-017-3921-7
    248 rdf:type schema:CreativeWork
    249 sg:pub.10.1007/s00198-020-05441-w schema:sameAs https://app.dimensions.ai/details/publication/pub.1127543132
    250 https://doi.org/10.1007/s00198-020-05441-w
    251 rdf:type schema:CreativeWork
    252 sg:pub.10.1186/s12905-016-0339-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1015577465
    253 https://doi.org/10.1186/s12905-016-0339-x
    254 rdf:type schema:CreativeWork
    255 sg:pub.10.1186/s13052-016-0297-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020873301
    256 https://doi.org/10.1186/s13052-016-0297-9
    257 rdf:type schema:CreativeWork
    258 sg:pub.10.3758/brm.40.3.879 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030761931
    259 https://doi.org/10.3758/brm.40.3.879
    260 rdf:type schema:CreativeWork
    261 grid-institutes:None schema:alternateName Creighton Osteoporosis Research Center, Omaha, NE, USA
    262 schema:name Creighton Osteoporosis Research Center, Omaha, NE, USA
    263 rdf:type schema:Organization
    264 grid-institutes:grid.266813.8 schema:alternateName Center for Nursing Science, University of Nebraska Medical Center, Omaha, NE, USA
    265 Lincoln Division, University of Nebraska Medical Center College of Nursing, Lincoln, NE, USA
    266 schema:name Center for Nursing Science, University of Nebraska Medical Center, Omaha, NE, USA
    267 Lincoln Division, University of Nebraska Medical Center College of Nursing, Lincoln, NE, USA
    268 rdf:type schema:Organization
    269 grid-institutes:grid.429696.6 schema:alternateName College of Allied Health Professions, 984000 Nebraska Medical Center, 68198-4000, Omaha, NE, USA
    270 Diabetes, Endocrinology, & Metabolism, Nebraska Medicine, Omaha, NE, USA
    271 schema:name College of Allied Health Professions, 984000 Nebraska Medical Center, 68198-4000, Omaha, NE, USA
    272 Diabetes, Endocrinology, & Metabolism, Nebraska Medicine, Omaha, NE, USA
    273 rdf:type schema:Organization
     




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


    ...