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  1. Article ; Online: Classical Ballet for Women Aged Over 50 Years: Investigating Balance, Strength, and Range of Motion.

    Letton, Meg E / Macdonald, Eliza R / Thom, Jeanette M / Ward, Rachel E

    Research quarterly for exercise and sport

    2023  Volume 95, Issue 1, Page(s) 171–182

    Abstract: ... ...

    Abstract Background
    MeSH term(s) Adult ; Humans ; Female ; Middle Aged ; Aged ; Dancing ; Exercise ; Leg ; Lower Extremity ; Range of Motion, Articular
    Language English
    Publishing date 2023-04-10
    Publishing country United States
    Document type Journal Article
    ZDB-ID 225654-x
    ISSN 2168-3824 ; 0270-1367
    ISSN (online) 2168-3824
    ISSN 0270-1367
    DOI 10.1080/02701367.2023.2169236
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.B 58: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

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  2. Article ; Online: The Effectiveness of Classical Ballet Training on Health-Related Outcomes: A Systematic Review.

    Letton, Meg E / Thom, Jeanette M / Ward, Rachel E

    Journal of physical activity & health

    2020  Volume 17, Issue 5, Page(s) 566–574

    Abstract: Background: Regular physical activity is of paramount importance to reduce chronic disease risk. Classical ballet training requires balance, strength, and range of motion. Participation in social ballet classes is increasing. Ballet training ... ...

    Abstract Background: Regular physical activity is of paramount importance to reduce chronic disease risk. Classical ballet training requires balance, strength, and range of motion. Participation in social ballet classes is increasing. Ballet training interventions may be an alternative method of regular, enjoyable activity. This review aimed to determine the effectiveness of classical ballet training interventions on physical and psychological health.
    Methods: Ten databases were searched until April 2019. The included studies investigated classical ballet training interventions of a ≥4-week duration, on any population (no restrictions on experience and clinical condition), measuring physical health or psychological outcomes.
    Results: Twenty-three studies (25 intervention groups) were included, comprising experienced (19 groups) and novice dancers (6 groups). In experienced populations, muscular strength was the most commonly reported outcome. However, only 25% of these studies reported improvements. With novice dancers, including clinical populations, balance showed the most positive change, improving in 75% of studies that reported this measure.
    Conclusions: Classical ballet training may improve balance in novices and maintain physical activity across the life span. Experienced dancers showed no further improvement, perhaps due to an already greater ability. There was large heterogeneity between the included studies. A greater focus on classical ballet interventions for inexperienced populations is required.
    MeSH term(s) Adolescent ; Aged ; Aged, 80 and over ; Child ; Dancing/psychology ; Exercise/psychology ; Female ; Health Behavior/physiology ; Humans ; Male ; Middle Aged
    Language English
    Publishing date 2020-05-01
    Publishing country United States
    Document type Journal Article ; Systematic Review
    ISSN 1543-5474
    ISSN (online) 1543-5474
    DOI 10.1123/jpah.2019-0303
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Peripheral Neuropathy Phenotyping in Rat Models of Type 2 Diabetes Mellitus: Evaluating Uptake of the Neurodiab Guidelines and Identifying Future Directions.

    Hossain, Md Jakir / Kendig, Michael D / Letton, Meg E / Morris, Margaret J / Arnold, Ria

    Diabetes & metabolism journal

    2022  Volume 46, Issue 2, Page(s) 198–221

    Abstract: Diabetic peripheral neuropathy (DPN) affects over half of type 2 diabetes mellitus (T2DM) patients, with an urgent need for effective pharmacotherapies. While many rat and mouse models of T2DM exist, the phenotyping of DPN has been challenging with ... ...

    Abstract Diabetic peripheral neuropathy (DPN) affects over half of type 2 diabetes mellitus (T2DM) patients, with an urgent need for effective pharmacotherapies. While many rat and mouse models of T2DM exist, the phenotyping of DPN has been challenging with inconsistencies across laboratories. To better characterize DPN in rodents, a consensus guideline was published in 2014 to accelerate the translation of preclinical findings. Here we review DPN phenotyping in rat models of T2DM against the 'Neurodiab' criteria to identify uptake of the guidelines and discuss how DPN phenotypes differ between models and according to diabetes duration and sex. A search of PubMed, Scopus and Web of Science databases identified 125 studies, categorised as either diet and/or chemically induced models or transgenic/spontaneous models of T2DM. The use of diet and chemically induced T2DM models has exceeded that of transgenic models in recent years, and the introduction of the Neurodiab guidelines has not appreciably increased the number of studies assessing all key DPN endpoints. Combined high-fat diet and low dose streptozotocin rat models are the most frequently used and well characterised. Overall, we recommend adherence to Neurodiab guidelines for creating better animal models of DPN to accelerate translation and drug development.
    MeSH term(s) Animals ; Diabetes Mellitus, Type 2/drug therapy ; Diabetic Neuropathies ; Diet, High-Fat ; Humans ; Mice ; NAD/therapeutic use ; Rats ; Streptozocin
    Chemical Substances NAD (0U46U6E8UK) ; Streptozocin (5W494URQ81)
    Language English
    Publishing date 2022-03-24
    Publishing country Korea (South)
    Document type Journal Article ; Review ; Research Support, Non-U.S. Gov't
    ZDB-ID 2602402-0
    ISSN 2233-6087 ; 2233-6087
    ISSN (online) 2233-6087
    ISSN 2233-6087
    DOI 10.4093/dmj.2021.0347
    Database MEDical Literature Analysis and Retrieval System OnLINE

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