Fatih province − Geriatric Study: fragility and contributing factors in old population living the community

Creative Commons License

Gönültaş S., Ersoy A., Bahat-Öztürk G., Kılıç C., Tufan F., Avcı Kılıvan S., ...More

12th International Congress of the European Union Geriatric Medicine Society, Lisbon, Portugal, 5 - 07 October 2016, pp.119

  • Publication Type: Conference Paper / Summary Text
  • City: Lisbon
  • Country: Portugal
  • Page Numbers: pp.119
  • Istanbul University Affiliated: Yes


Aim: In this abstract, we aimed to investigate fragility prevalence and contributing factors among the old population living in Fatih/Istanbul province.

Material and methods: Age range of 60–101were taken into the study. The fragility screened with FRAIL-questionnaire, functional capacity measurement with KATZ-Activities-of-Daily-Living-Scale(ADL) and LAWTON-BRODY-Instrumental Activities–of-Daily Living Scale (IADL), quality of life measurement with EQ5D-questionnaire, cognitive status with Mini–Cog-test, depression with GDS-SF, malnutrition with MNA-SF, balance and gait with Romberg-test and postural-instability test, were evaluated accordingly. We measured muscle mass with bioimpedance analysis (TANITA-BC532). We evaluated muscle mass using Baumgartner index (skeletal muscle kg/length2). According to our, low muscle mass(young adult average-2SD) and muscle threshold values national data, low muscle mass values are <9.2 kg/m2 vs 7.4 kg/m2; <32 kg vs <22 kg in men and women respectively. We defined sarcopenia as decrease in sarcopenic muscle mass and muscle function (muscle strength/OYH) as stated in EWGSOP definition. Obesity diagnosis is evaluated using two alternative method advised in literature:fat percentage >=60 percentile among old case population values (Zoico methodology) or BMI >=30 kg/m2 (WHO definition).

Findings: We included 204 old cases(94 male–110 female). Average age:75,4 ± 7,3 years.30.4% of the cases were normal,42.6% were prefrail and 27%were frail. There significant differences in these groups in terms of age/number of diseases/drugs/hand grip strength/daily life activities/EGYA/cognitive state/SÇT (p = 0.001) /MNA/ GDS/Eq-5D score and health state subjective scoring (p < 0.001); BMI (p = 0.032), OYH (p = 0.03), BIA-fat (p = 0.021) and muscle mass (p = 0.019). On the other hand, there were no significant differences in calf diameter (p = 0.25, visceral fat level (p = 0.71). While there were significant differences between the fragility groups, in terms of presence of malnutrition/fear of falling/UI/chronic pain/Romberg’s sign/postural instability/ambulation level/presence of depression (p < 0.001)/ dementia (p = 0.001)/falling in past year (p = 0.011) and sex (p = 0.004), there were no significant differences in presence of diabetes (p = 0.90), hypertension (p = 0.065, fecal incontinence (p = 0.10). In regression analysis, independent factors to fragility were (dependent variable fragility (robust vs prefrail + frail), independent variables: age, sex, disease and drug number, muscle strength, egya and EQ-5D scores; cognitive dysfunction-depression, MN, falls, presence of chronic pain) drug number (OR = 1.24, p = 0.036), cognitive dysfunction (OR = 0.3, p = 0.016), EQ-5D (OR = 1.53, p = 0.017).

Results: Our study is a strong study in multiple factors are taken into account regarding fragility. Our results indicate that multiple drug usage, cognitive-dysfunction and low-life-quality perception are related major factors regarding fragility.