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2019 | 26 | 1 |

Tytuł artykułu

Gait ability analyse in senior age 65+ related to the quality of life indicators

Warianty tytułu

Języki publikacji

EN

Abstrakty

EN
Introduction. In the study the gait indicators measured by the Tinetti Gait Test are analysed in correlation to indicators of the quality of life of seniors according to the RAND 36 Short Form Health Survey (SF-36). Aim of Study. Main aim of the presented study is to point out the gait ability of seniors aged sixty-five and older in the complexity analysis of bio-psychosocial approach. Material and Methods. The research sample for the study consisted of 500 seniors of the Czech Republic, selected by randomized selection from all Czech regions, from seniors’ houses. The monitored seniors were in age 65 years and older (mean: 75.9 SD ± 7.14), 234 males (mean: 74.5 SD ± 7.74) and 266 females (mean: 76.9 SD ± 7.23). The seniors participated in the investigation voluntarily on the base of signed informed consent. Diagnostic methods: medical anamnesis; functional anthropological examination; Tinetti Gait Test; RAND 36 Short Form Health Survey (SF-36). Statistics: multivariate regression with reduction of dimensionality, method of orthogonal projection to latent structure. Results. The created linear regression model was highly statistically significant (p < 0.001) and showed high selectivity as well as high specificity to the SF-36 items. The clinical validity of the model demonstrated a 72% predictive value for the detection and an 87% successful specification of the items of health survey SF-36 in correlation to the Tinetti Gait Test. Also higher age of seniors, number of taken medicaments, health problems as diabetes, sclerosis multiplex, haemorrhage, heart problem and stroke are in significant negative correlation to the Tinetti Gait Test result. Conclusions. The study demonstrated the possibility of the gait ability in seniors 65+ may be searched very closely and significantly related to the physical, psychic and social quality of life indicators. The analysed predictors to the successful gait ability development are inspiration for experts, which focus their work on kinesiotherapy and adapted physical education in senior age.

Słowa kluczowe

Wydawca

-

Rocznik

Tom

26

Numer

1

Opis fizyczny

p.11-19,fig.,ref.

Twórcy

autor
  • College of Physical Education and Sport PALESTRA, Prague, Czech Republic
autor
  • Institution of Endocrinology, Prague, Czech Republic
autor
  • College of Physical Education and Sport PALESTRA, Prague, Czech Republic
autor
  • College of Physical Education and Sport PALESTRA, Prague, Czech Republic
autor
  • College of Physical Education and Sport PALESTRA, Prague, Czech Republic

Bibliografia

  • 1. Bártlová S. Health literacy in selected population groups. Kontakt. 2018; 20(4): 317-318. DOI: //doi.org/10.1016/j.kontakt.2018.10.012.
  • 2. Best H, Wolf Ch. The SAGE Handbook of Regression Analysis and Causal Inference. London: Sage; 2014.
  • 3. Bridenbaugh SA, Kressig RW. Laboratory review: the role of gait analysis in seniors’ mobility and fall prevention. Gerontology 2011; Oct 57: 256-264. DOI: 10.1159/000322194.
  • 4. Bláha P. Funkční a sportovní antropologie – vybrané metody (Functional and sports anthropology – selected methods). Prague: College of PE and Sport PALESTRA; 2017.
  • 5. Camicioli R, Rosano C. Understanding Gait in Aging – Part 1. International Parkinson and Movement Disorder Society. 2012, Apr. MDS Website Archives. Available from: https://www.movementdisorders.org/MDS/News/Online-Web-Edition/Archived-Editions/Series-on-Gait-Part-1.htm.
  • 6. CSSZ. EU Přehled o počtu poplatníků pojistného a počtu důchodců (Overview of the number of premium payers and the number of pensioners). Prague: CSSZ; 2018. Available from: https://www.cssz.cz/cz/o-cssz/informace/statistiky/ekonomicke-ukazatele/prehledvybranych-statistickych-a-ekonomickych-ukazatelu/prehled-vybranych-statistickych-a-ekonomickychukazatelu.htm.
  • 7. European Commission. Public Health. Aging. The 2016 Call for Commitments of the European Innovation Partnership on Active and Healthy Ageing. Ec.europa.eu 10/02/2016. Available from: http://ec.europa.eu/health/ageing/innovation/index_en.
  • 8. Gronek P, Holdys J. Genes and physical fitness. Trends Sport Sci. 2013; 20(1): 16-29.
  • 9. Hahn A. Otoneurologie a tinitologie (Otoneurology and tinnitology). Praha: Grada; 2015.
  • 10. Janečková B, Szabó K, Kalová H, Poncarová E, Petr P. The risk of falls in ambulatory and stationary care. Prevence úrazů, otrav a násilí (Prevention of injuries, poisoning and violence). 2013; 9(2):129-134.
  • 11. Krejčí M, Hošek V. Identification characteristics of the intervention method „Life in Balance” focused on seniors 65+. Acta Salus Vitae. 2018; Nov 6(2): 45-54.
  • 12. Krejčí M, Kornatovská Z. Yoga applications in persons with disabilities. In: Bolach E, Kawczynski A, editors. Adaptacyjna Aktywność Fizyczna (Adapted Physical Activity). Wroclaw: AWF; 2017. pp. 104-126.
  • 13. Marcinko I. The moderating role of autonomous motivation on the relationship between subjective wellbeing and physical health. PloS one. 2015; Nov 10(5), e0126399. DOI: 10.1371/journal.pone.0126399.
  • 14. Meloun M, Militky J, Hill M, Brereton RG. Crucial problems in regression modelling and their solutions. Analyst. 2002; Jun 127: 433-450.
  • 15. Tinetti ME, Williams TF, Mayewski R. Fall Risk Index for elderly patients based on number of chronic disabilities. Am J Med. 1986; Jul 80: 429-434.
  • 16. ÚZIS. Dotazník kvality života SF-36 (Life Quality Questionnaire SF-36). 2018. Available from: https:// www.uzis.cz/dotaznik-kvality-zivota-sf-36.
  • 17. Ware JE, Snow KK, Kosinski M, Gandek B. SF-36 Health Survey Manual and Interpretation Guide. Boston: The Health Institute Boston; 1993.

Typ dokumentu

Bibliografia

Identyfikatory

Identyfikator YADDA

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