International classification of function, disability and health framework for fall risk stratification in community dwelling older adults
AbstractFalls is an important cause for mortality and morbidity in older adults. The fall risk assessment is an integral component of fall prevention in older adults. The international classification of function, disability and health (ICF) can be an ideal comprehensive model for fall risk assessment. There is lack of information relating ICF and fall risk assessment in community dwelling older adults. In this study we tried to assess the fall risk using different domains of ICF using various clinical tools. A total of 255 subjects were recruited through convenient sampling method from geriatric clinic (OPD) of All India Institute of Medical Sciences, New Delhi. The study was single session cross-section design. The body mass index (BMI), grip strength, depression score (Geriatric depression scale:short form; GDS-S) and co morbidities were used to assess body function and structure domain, timed up and go (TUG), Berg balance scale (BBS) and elderly fall screening test (EFST) scores were used for activity domain, selfreported cause of fall, medications and uses of assistive device for environmental factors. Then the association of body function and structure, activity and environmental factors were determined with falls. There was an association of fall in analysis in subjects with no fall and one or more falls for, BMI, grip strength (kg), GDS-S score, no. of co morbidities, chronic pain, TUG, BBS, TUG (s), BBS, EFST, slip/trip, walking cane, hypoglycemic and antihypertensives medications (unadjusted and adjusted odds ratio).The diabetes, and hyper tension showed association for adjusted odds ratio only. In subjects with one fall and more than one fall, TUG, BBS, EFST, GDS-S score, NSAIDS and antidepressants use showed a significant association with fall (unadjusted and adjusted odds ratio). The ICF may be used in routine for fall risk assessment in community dwelling older adults.
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Copyright (c) 2017 Majumi M. Noohu, Aparajit B. Dey, Shashi Sharma, Mohammed E. Hussain
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