37 datasets found
  1. t

    Yo-Yo Test Normative Data

    • topendsports.com
    Updated Oct 23, 2025
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    (2025). Yo-Yo Test Normative Data [Dataset]. https://www.topendsports.com/testing/norms/yo-yo.htm
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    Dataset updated
    Oct 23, 2025
    Variables measured
    Intermittent high-intensity aerobic capacity
    Measurement technique
    Yo-Yo Intermittent Recovery Test
    Description

    Fitness rating norms based on Bangsbo et al. (2008) formula and athlete performance data

  2. t

    Stork Balance Test Methodology

    • topendsports.com
    Updated Nov 21, 2025
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    (2025). Stork Balance Test Methodology [Dataset]. https://www.topendsports.com/testing/tests/balance-stork.htm
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    Dataset updated
    Nov 21, 2025
    Variables measured
    Single-leg balance duration on ball of foot
    Measurement technique
    Timed balance hold until form breakdown occurs
    Description

    Scientific basis and normative data for single-leg balance assessment in athletic populations

  3. D

    Data from: Normative data on Dutch idiomatic expressions: Native speakers

    • ssh.datastations.nl
    csv, pdf, txt, zip
    Updated Nov 2, 2023
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    F.C.W. Hubers; W. van Ginkel; C. Cucchiarini; H. Strik; A.F.J. Dijkstra; F.C.W. Hubers; W. van Ginkel; C. Cucchiarini; H. Strik; A.F.J. Dijkstra (2023). Normative data on Dutch idiomatic expressions: Native speakers [Dataset]. http://doi.org/10.17026/DANS-ZJX-HNSK
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    txt(43321), zip(20928), pdf(139247), csv(43327), pdf(160884)Available download formats
    Dataset updated
    Nov 2, 2023
    Dataset provided by
    DANS Data Station Social Sciences and Humanities
    Authors
    F.C.W. Hubers; W. van Ginkel; C. Cucchiarini; H. Strik; A.F.J. Dijkstra; F.C.W. Hubers; W. van Ginkel; C. Cucchiarini; H. Strik; A.F.J. Dijkstra
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    In the context of the research programme ‘Idiomatic Second Language Acquisition’ (for more information see http://isla.ruhosting.nl), we collected normative data of 374 Dutch idiomatic expressions by 390 native speakers. In an online test, we asked participants to judge various dimensions of idiomatic expressions on a five-point scale: Frequency, Usage, Familiarity, Imageability, and Transparency. In addition, we objectively assessed their knowledge of idiom meaning by means of a multiple choice question (Idiom knowledge recognition). The dataset contains the aggregated results per expression for the 5 subjective dimensions (Frequency, Usage, Familiarity, Imageability, and Transparency) and the objective Idiom knowledge recognition (proportion correct).This work is part of the research program Free Competition in the Humanities with project number 23000349 NWO ISLA FdL, which is financed by the Netherlands Organisation for Scientific Research (NWO).

  4. Normative data for the “taste strips” [22], data from age- and sex-matched...

    • plos.figshare.com
    xls
    Updated Jun 2, 2023
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    Silke Steinbach; Wolfgang Reindl; Astrid Dempfle; Anna Schuster; Petra Wolf; Walter Hundt; Wolfgang Huber (2023). Normative data for the “taste strips” [22], data from age- and sex-matched healthy controls and IBD patients (unilateral taste values for normative data, mean of left and right sides of the tongue for the control group and the patients). [Dataset]. http://doi.org/10.1371/journal.pone.0073454.t004
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    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Silke Steinbach; Wolfgang Reindl; Astrid Dempfle; Anna Schuster; Petra Wolf; Walter Hundt; Wolfgang Huber
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    *Mueller et al. [22].

  5. Associations of socio-demographic characteristics with the BSI Global...

    • plos.figshare.com
    xls
    Updated Jul 3, 2024
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    Gisela Michel; Julia Baenziger; Jeannette Brodbeck; Luzius Mader; Claudia E. Kuehni; Katharina Roser (2024). Associations of socio-demographic characteristics with the BSI Global Severity Index (Sum score). [Dataset]. http://doi.org/10.1371/journal.pone.0305192.t006
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    xlsAvailable download formats
    Dataset updated
    Jul 3, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Gisela Michel; Julia Baenziger; Jeannette Brodbeck; Luzius Mader; Claudia E. Kuehni; Katharina Roser
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Associations of socio-demographic characteristics with the BSI Global Severity Index (Sum score).

  6. f

    Data from: Grip Strength across the Life Course: Normative Data from Twelve...

    • datasetcatalog.nlm.nih.gov
    • plos.figshare.com
    Updated Dec 4, 2014
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    Cooper, Rachel; Syddall, Holly E.; Steptoe, Andrew; Tilling, Kate; Starr, John M.; Sayer, Avan Aihie; Gale, Catharine R.; Kuh, Diana; Robinson, Sian M.; Jagger, Carol; Dodds, Richard M.; Inskip, Hazel M.; Cooper, Cyrus; Der, Geoff; Benzeval, Michaela; Lawlor, Debbie A.; Kirkwood, Thomas B.; Dennison, Elaine M.; Deary, Ian J. (2014). Grip Strength across the Life Course: Normative Data from Twelve British Studies [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0001191976
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    Dataset updated
    Dec 4, 2014
    Authors
    Cooper, Rachel; Syddall, Holly E.; Steptoe, Andrew; Tilling, Kate; Starr, John M.; Sayer, Avan Aihie; Gale, Catharine R.; Kuh, Diana; Robinson, Sian M.; Jagger, Carol; Dodds, Richard M.; Inskip, Hazel M.; Cooper, Cyrus; Der, Geoff; Benzeval, Michaela; Lawlor, Debbie A.; Kirkwood, Thomas B.; Dennison, Elaine M.; Deary, Ian J.
    Description

    IntroductionEpidemiological studies have shown that weaker grip strength in later life is associated with disability, morbidity, and mortality. Grip strength is a key component of the sarcopenia and frailty phenotypes and yet it is unclear how individual measurements should be interpreted. Our objective was to produce cross-sectional centile values for grip strength across the life course. A secondary objective was to examine the impact of different aspects of measurement protocol.MethodsWe combined 60,803 observations from 49,964 participants (26,687 female) of 12 general population studies in Great Britain. We produced centile curves for ages 4 to 90 and investigated the prevalence of weak grip, defined as strength at least 2.5 SDs below the gender-specific peak mean. We carried out a series of sensitivity analyses to assess the impact of dynamometer type and measurement position (seated or standing).ResultsOur results suggested three overall periods: an increase to peak in early adult life, maintenance through to midlife, and decline from midlife onwards. Males were on average stronger than females from adolescence onwards: males’ peak median grip was 51 kg between ages 29 and 39, compared to 31 kg in females between ages 26 and 42. Weak grip strength, defined as strength at least 2.5 SDs below the gender-specific peak mean, increased sharply with age, reaching a prevalence of 23% in males and 27% in females by age 80. Sensitivity analyses suggested our findings were robust to differences in dynamometer type and measurement position.ConclusionThis is the first study to provide normative data for grip strength across the life course. These centile values have the potential to inform the clinical assessment of grip strength which is recognised as an important part of the identification of people with sarcopenia and frailty.

  7. Characteristics of respondents who completed the Brief Symptom Inventory...

    • plos.figshare.com
    xls
    Updated Jul 3, 2024
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    Gisela Michel; Julia Baenziger; Jeannette Brodbeck; Luzius Mader; Claudia E. Kuehni; Katharina Roser (2024). Characteristics of respondents who completed the Brief Symptom Inventory (BSI) (n = 1238). [Dataset]. http://doi.org/10.1371/journal.pone.0305192.t001
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    xlsAvailable download formats
    Dataset updated
    Jul 3, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Gisela Michel; Julia Baenziger; Jeannette Brodbeck; Luzius Mader; Claudia E. Kuehni; Katharina Roser
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Characteristics of respondents who completed the Brief Symptom Inventory (BSI) (n = 1238).

  8. m

    Normative reference scores for Rebound Test among young asymptomatic...

    • data.mendeley.com
    Updated Jun 8, 2020
    + more versions
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    Amit Narwal (2020). Normative reference scores for Rebound Test among young asymptomatic individuals: A Normative Research [Dataset]. http://doi.org/10.17632/dnnjmg2fws.1
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    Dataset updated
    Jun 8, 2020
    Authors
    Amit Narwal
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Materials and methods: Fifty young asymptomatic subjects consist of 31 females and 19 males were recruited by doing convenience sampling for the cross-sectional study. After the anthropometric measurements, procedure of rebound test was explained to the participants. To check the Rebound test, participants were asked to sit on the chair with no arm rest and asked to do 90 degree elbow flexion. Resistance would be given by the Investigator over distal end of forearm. Jerky and small amplitude elbow flexion movement was seen, after releasing the resistance. The mean of three readings were used to estimate the Rebound test acuity. To find the normality, Kolmogorov-Smirnov test was used. Independent T-test was used to find comparison between males and females demographic details and RT values. Result: Overall mean value of age with 95% of confidence interval is 20.2 (19.7-20.7 years). Mean value with 95% of confidence interval of height of overall sample is 160.7 (158.6-162.9cm). Mean value with 95% CI of weight of overall sample size is 55.4 (36-75 kg), mean value of BMI of overall sample size including males and females both is 21.4 (14.8-28.7 kg/m2). Overall mean value for RT in right and left UE are 35.9 (32.7-39) (7.1- 57.4 cm), and 39.9 ± 11.6 cm (9.1- 63.9 cm) respectively shown in table 5.2.Overall mean value for RT in right and left UE are 35.9 (7.1- 57.4 cm), and 39.9 (9.1- 63.9 cm) respectively. Mean values of RT of right and left UE in males are 37.8 (29.-48.1cm), and 42.8 (31.8-60 cm) respectively. Mean values of RT of right and left UE in females are 34.6 (7.0-57.4cm), and 38.0 (overall range of 9.1-63) respectively. No statistical difference (p value->0.005) between males and females RT values was found.

  9. r

    Data from: Does crossing a moral line justify collective means? Explaining...

    • resodate.org
    Updated Jun 20, 2022
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    Inga L. Pauls; Eric Shuman; Martijn van Zomeren; Tamar Saguy; Eran Halperin (2022). Does crossing a moral line justify collective means? Explaining how a perceived moral violation triggers normative and nonnormative forms of collective action [Dataset]. http://doi.org/10.14279/depositonce-15900
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    Dataset updated
    Jun 20, 2022
    Dataset provided by
    Technische Universität Berlin
    DepositOnce
    Authors
    Inga L. Pauls; Eric Shuman; Martijn van Zomeren; Tamar Saguy; Eran Halperin
    Description

    In three studies conducted in the United States, we examined whether a perceived moral violation motivates willingness to engage in normative and more radical collective action. Using value‐protection and identity‐formation models, we explored whether increased endorsement of moral convictions and relevant opinion‐based group identification could explain such effects. Study 1, using the “travel ban” for Muslims as the focal issue, experimentally found that a strong violation, compared to a weak violation, increased normative and nonnormative collective action, moral convictions and opinion‐based group identification. Study 2 replicated these results in a longitudinal design and supported a mediating effect of increased endorsement of moral convictions and opinion‐based group identity. Study 3 used a real‐world violation (the United States’ withdrawal from the Paris climate agreements) to replicate the findings cross‐sectionally. We conclude that a perceived moral violation motivates normative and nonnormative collective action because the violation makes one's moral conviction and opinion‐based group identification more salient.

  10. r

    Concept

    • stanford.redivis.com
    • redivis.com
    Updated Aug 13, 2022
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    Stanford Center for Population Health Sciences (2022). Concept [Dataset]. https://stanford.redivis.com/datasets/ygd5-f2kfdgp6r/tables?tablesList-entities=125.map
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    Dataset updated
    Aug 13, 2022
    Dataset authored and provided by
    Stanford Center for Population Health Sciences
    Time period covered
    Jan 1, 1900 - Jul 21, 2017
    Description

    The Standardized Vocabularies contains records, or Concepts, that uniquely identify each fundamental unit of meaning used to express clinical information in all domain tables of the CDM. Concepts are derived from vocabularies, which represent clinical information across a domain (e.g. conditions, drugs, procedures) through the use of codes and associated descriptions. Some Concepts are designated Standard Concepts, meaning these Concepts can be used as normative expressions of a clinical entity within the OMOP Common Data Model and within standardized analytics. Each Standard Concept belongs to one domain, which defines the location where the Concept would be expected to occur within data tables of the CDM.

  11. d

    Data from: Associations between changes in city and address specific...

    • datadryad.org
    • data.niaid.nih.gov
    • +1more
    zip
    Updated Aug 15, 2015
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    Amar J. Mehta; Itai Kloog; Antonella Zanobetti; Brent A. Coull; David Sparrow; Pantel Vokonas; Joel Schwartz (2015). Associations between changes in city and address specific temperature and QT interval - the VA Normative Aging Study [Dataset]. http://doi.org/10.5061/dryad.tb4k5
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    zipAvailable download formats
    Dataset updated
    Aug 15, 2015
    Dataset provided by
    Dryad
    Authors
    Amar J. Mehta; Itai Kloog; Antonella Zanobetti; Brent A. Coull; David Sparrow; Pantel Vokonas; Joel Schwartz
    Time period covered
    Aug 15, 2014
    Area covered
    Boston metropolitan area
    Description

    Env_Data_PONE-D-13-50148_081514This dataset in csv format consists of all environmental data (moving average mean temperature, moving average standard deviation of temperature, 24-hr mean relative humidity, 4-hr lag black carbon) linked to each unique participant and date of examination visit used in the analysis. This dataset is sorted by participant ID and date of examination visit.

  12. Descriptive statistics for the scales and the GSI of the BSI for a clinical...

    • plos.figshare.com
    xls
    Updated Jul 3, 2024
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    Gisela Michel; Julia Baenziger; Jeannette Brodbeck; Luzius Mader; Claudia E. Kuehni; Katharina Roser (2024). Descriptive statistics for the scales and the GSI of the BSI for a clinical sample of psychotherapy outpatients (Sum score, Mean score, T-Scores (Standardization according to German and Swiss norms), Positive Symptom Total; All based on weighted analyses. [Dataset]. http://doi.org/10.1371/journal.pone.0305192.t005
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    xlsAvailable download formats
    Dataset updated
    Jul 3, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Gisela Michel; Julia Baenziger; Jeannette Brodbeck; Luzius Mader; Claudia E. Kuehni; Katharina Roser
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Descriptive statistics for the scales and the GSI of the BSI for a clinical sample of psychotherapy outpatients (Sum score, Mean score, T-Scores (Standardization according to German and Swiss norms), Positive Symptom Total; All based on weighted analyses.

  13. f

    Mean fatigue scale scores.

    • datasetcatalog.nlm.nih.gov
    • plos.figshare.com
    Updated Mar 8, 2016
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    Johnson, Egil; Lyberg, Torstein; Therkelsen, Stig Palm; Hetland, Geir; Lygren, Idar (2016). Mean fatigue scale scores. [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0001594808
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    Dataset updated
    Mar 8, 2016
    Authors
    Johnson, Egil; Lyberg, Torstein; Therkelsen, Stig Palm; Hetland, Geir; Lygren, Idar
    Description

    Normative data in the Norwegian population compared to patients with UC on inclusion.

  14. Additional file 6 of Predicting Future Performance in Powerlifting: A...

    • springernature.figshare.com
    xlsx
    Updated Oct 2, 2025
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    Luca Ferrari; Gianluca Bochicchio; Alberto Bottari; Francesco Lucertini; Silvia Pogliaghi (2025). Additional file 6 of Predicting Future Performance in Powerlifting: A Machine Learning Approach [Dataset]. http://doi.org/10.6084/m9.figshare.30262110.v1
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    xlsxAvailable download formats
    Dataset updated
    Oct 2, 2025
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Luca Ferrari; Gianluca Bochicchio; Alberto Bottari; Francesco Lucertini; Silvia Pogliaghi
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Supplementary Material 6

  15. RBANS total and domain index mean [95% confidence interval] for the total...

    • figshare.com
    • plos.figshare.com
    xls
    Updated Sep 6, 2024
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    David Krabbe; Katharina S. Sunnerhagen; Daniel S. Olsson; Tobias Hallén; Oskar Ragnarsson; Thomas Skoglund; Gudmundur Johannsson (2024). RBANS total and domain index mean [95% confidence interval] for the total sample and for subgroups. [Dataset]. http://doi.org/10.1371/journal.pone.0309586.t002
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    xlsAvailable download formats
    Dataset updated
    Sep 6, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    David Krabbe; Katharina S. Sunnerhagen; Daniel S. Olsson; Tobias Hallén; Oskar Ragnarsson; Thomas Skoglund; Gudmundur Johannsson
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    RBANS total and domain index mean [95% confidence interval] for the total sample and for subgroups.

  16. Demographic and disease characteristics for the total population as well as...

    • figshare.com
    xls
    Updated Sep 6, 2024
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    David Krabbe; Katharina S. Sunnerhagen; Daniel S. Olsson; Tobias Hallén; Oskar Ragnarsson; Thomas Skoglund; Gudmundur Johannsson (2024). Demographic and disease characteristics for the total population as well as for subgroups based on time of evaluation. [Dataset]. http://doi.org/10.1371/journal.pone.0309586.t001
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    xlsAvailable download formats
    Dataset updated
    Sep 6, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    David Krabbe; Katharina S. Sunnerhagen; Daniel S. Olsson; Tobias Hallén; Oskar Ragnarsson; Thomas Skoglund; Gudmundur Johannsson
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Demographic and disease characteristics for the total population as well as for subgroups based on time of evaluation.

  17. Quantitative assessment of finger motor performance: Normative data

    • plos.figshare.com
    tiff
    Updated Jun 1, 2023
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    Alessio Signori; Maria Pia Sormani; Irene Schiavetti; Ambra Bisio; Marco Bove; Laura Bonzano (2023). Quantitative assessment of finger motor performance: Normative data [Dataset]. http://doi.org/10.1371/journal.pone.0186524
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    tiffAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Alessio Signori; Maria Pia Sormani; Irene Schiavetti; Ambra Bisio; Marco Bove; Laura Bonzano
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    BackgroundFinger opposition movements are the basis of many daily living activities and are essential in general for manipulating objects; an engineered glove quantitatively assessing motor performance during sequences of finger opposition movements has been shown to be useful to provide reliable measures of finger motor impairment, even subtle, in subjects affected by neurological diseases. However, the obtained behavioral parameters lack published reference values.ObjectiveTo determine mean values for different motor behavioral parameters describing the strategy adopted by healthy people in performing repeated sequences of finger opposition movements, examining associations with gender and age.MethodsNormative values for finger motor performance parameters were obtained on a sample of 255 healthy volunteers executing sequences of finger-to-thumb opposition movements, stratified by gender and over a wide range of ages. Touch duration, inter-tapping interval, movement rate, correct sequences (%), movements in advance compared with a metronome (%) and inter-hand interval were assessed.ResultsIncreasing age resulted in decreased movement speed, advance movements with respect to a cue, correctness of sequences, and bimanual coordination.No significant performance differences were found between male and female subjects except for the duration of the finger touch, the interval between two successive touches and their ratio.ConclusionsWe report age- and gender-specific normal mean values and ranges for different parameters objectively describing the performance of finger opposition movement sequences, which may serve as useful references for clinicians to identify possible deficits in subjects affected by diseases altering fine hand motor skills.

  18. Differential analyses on the HS-EBP dimension scores from a normative sample...

    • plos.figshare.com
    • figshare.com
    xls
    Updated Jun 2, 2023
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    Juan C. Fernández-Domínguez; Joan E. De Pedro-Gómez; Rafael Jiménez-López; Natalia Romero-Franco; Ana B. Bays Moneo; Ángel Oliva-Pascual-Vaca; Albert Sesé-Abad (2023). Differential analyses on the HS-EBP dimension scores from a normative sample of Spanish physiotherapists. [Dataset]. http://doi.org/10.1371/journal.pone.0269460.t004
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    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Juan C. Fernández-Domínguez; Joan E. De Pedro-Gómez; Rafael Jiménez-López; Natalia Romero-Franco; Ana B. Bays Moneo; Ángel Oliva-Pascual-Vaca; Albert Sesé-Abad
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Differential analyses on the HS-EBP dimension scores from a normative sample of Spanish physiotherapists.

  19. Regression analysis of factors associated with RBANS total index score.

    • plos.figshare.com
    xls
    Updated Sep 6, 2024
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    David Krabbe; Katharina S. Sunnerhagen; Daniel S. Olsson; Tobias Hallén; Oskar Ragnarsson; Thomas Skoglund; Gudmundur Johannsson (2024). Regression analysis of factors associated with RBANS total index score. [Dataset]. http://doi.org/10.1371/journal.pone.0309586.t003
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    xlsAvailable download formats
    Dataset updated
    Sep 6, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    David Krabbe; Katharina S. Sunnerhagen; Daniel S. Olsson; Tobias Hallén; Oskar Ragnarsson; Thomas Skoglund; Gudmundur Johannsson
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Regression analysis of factors associated with RBANS total index score.

  20. Strong or Weak Handgrip? Normative Reference Values for the German...

    • plos.figshare.com
    pdf
    Updated Jun 2, 2023
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    Nadia Steiber (2023). Strong or Weak Handgrip? Normative Reference Values for the German Population across the Life Course Stratified by Sex, Age, and Body Height [Dataset]. http://doi.org/10.1371/journal.pone.0163917
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    pdfAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Nadia Steiber
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Handgrip strength is an important biomarker of healthy ageing and a powerful predictor of future morbidity and mortality both in younger and older populations. Therefore, the measurement of handgrip strength is increasingly used as a simple but efficient screening tool for health vulnerability. This study presents normative reference values for handgrip strength in Germany for use in research and clinical practice. It is the first study to provide normative data across the life course that is stratified by sex, age, and body height. The study used a nationally representative sample of test participants ages 17–90. It was based on pooled data from five waves of the German Socio-Economic Panel (2006–2014) and involved a total of 11,790 persons living in Germany (providing 25,285 observations). Handgrip strength was measured with a Smedley dynamometer. Results showed that peak mean values of handgrip strength are reached in men’s and women’s 30s and 40s after which handgrip strength declines in linear fashion with age. Following published recommendations, the study used a cut-off at 2 SD below the sex-specific peak mean value across the life course to define a ‘weak grip’. Less than 10% of women and men aged 65–69 were classified as weak according to this definition, shares increasing to about half of the population aged 80–90. Based on survival analysis that linked handgrip strength to a relevant outcome, however, a ‘critically weak grip’ that warrants further examination was estimated to commence already at 1 SD below the group-specific mean value.

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(2025). Yo-Yo Test Normative Data [Dataset]. https://www.topendsports.com/testing/norms/yo-yo.htm

Yo-Yo Test Normative Data

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5 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Oct 23, 2025
Variables measured
Intermittent high-intensity aerobic capacity
Measurement technique
Yo-Yo Intermittent Recovery Test
Description

Fitness rating norms based on Bangsbo et al. (2008) formula and athlete performance data

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