Allan Gustavo Brigola1, Ana Carolina Ottaviani2, Tiago da Silva Alexandre3, Bruna Moretti Luchesi4, Sofia Cristina Iost Pavarini5. 1. Nursing Post-Graduation Program, Federal University of Sao Carlos, Rod. Washington Luís, km 235, SP-310, Sao Carlos, Brazil; School of Health Sciences, University of East Anglia, Norwich Research Park, United Kingdom. Electronic address: allanbrig@gmail.com. 2. Nursing Post-Graduation Program, Federal University of Sao Carlos, Rod. Washington Luís, km 235, SP-310, Sao Carlos, Brazil. Electronic address: carol.ottaviani@gmail.com. 3. Department of Gerontology, Federal University of Sao Carlos, Rod. Washington Luís, km 235, SP-310, Sao Carlos, Brazil. Electronic address: tsfisioalex@gmail.com. 4. Nursing Post-Graduation Program, Federal University of Mato Grosso do Sul, Distrito Industrial, Tres Lagoas, Brazil. Electronic address: bruna_luchesi@yahoo.com.br. 5. Department of Gerontology, Federal University of Sao Carlos, Rod. Washington Luís, km 235, SP-310, Sao Carlos, Brazil; Nursing Post-Graduation Program, Federal University of Sao Carlos, Rod. Washington Luís, km 235, SP-310, Sao Carlos, Brazil. Electronic address: sofiapavarini@gmail.com.
Abstract
OBJECTIVE: Evaluate the cumulative effects of cognitive impairment and frailty on functional decline, falls and hospitalization in older adults over a four-year period. METHOD: Four hundred five older adults (60-95 years; mean age: 70.62 ± 7.12 years), 57 % female. The frailty evaluation was performed using the clinical criteria of the Cardiovascular Health Study (CHS): weight loss, fatigue, weakness, slowness and low physical activity. Cognitive impairment was defined by cutoff scores of the Mini Mental State Examination (MMSE) based on schooling. Follow-up - functional decline was assessed using the Lawton&Brody scale of instrumental activities of daily living (IADL). An investigation was also performed of the occurrence of falls and admissions to the hospital in the previous twelve months. RESULTS: Cognitive impairment was associated with admissions to the hospital and declines in the IADL category of using a telephone. Frailty was associated with admissions to hospital. Cumulative effects were observed for hospitalization and the decline in using the telephone and shopping. Frailty and cognitive impairment increased the risk of being admitted to hospital by 557 % and increased the risk of a decline in using the phone by 262% and shopping by 208%. No conditions were associated with the risk of falls. CONCLUSION: The combination of the MMSE and the CHS criteria was adequate for measuring the cumulative effects of cognitive impairment and frailty. Shared physiological mechanisms may explain the relation between cognitive impairment and frailty, but further investigations are needed in Brazil and other low/middle-income countries.
OBJECTIVE: Evaluate the cumulative effects of cognitive impairment and frailty on functional decline, falls and hospitalization in older adults over a four-year period. METHOD: Four hundred five older adults (60-95 years; mean age: 70.62 ± 7.12 years), 57 % female. The frailty evaluation was performed using the clinical criteria of the Cardiovascular Health Study (CHS): weight loss, fatigue, weakness, slowness and low physical activity. Cognitive impairment was defined by cutoff scores of the Mini Mental State Examination (MMSE) based on schooling. Follow-up - functional decline was assessed using the Lawton&Brody scale of instrumental activities of daily living (IADL). An investigation was also performed of the occurrence of falls and admissions to the hospital in the previous twelve months. RESULTS:Cognitive impairment was associated with admissions to the hospital and declines in the IADL category of using a telephone. Frailty was associated with admissions to hospital. Cumulative effects were observed for hospitalization and the decline in using the telephone and shopping. Frailty and cognitive impairment increased the risk of being admitted to hospital by 557 % and increased the risk of a decline in using the phone by 262% and shopping by 208%. No conditions were associated with the risk of falls. CONCLUSION: The combination of the MMSE and the CHS criteria was adequate for measuring the cumulative effects of cognitive impairment and frailty. Shared physiological mechanisms may explain the relation between cognitive impairment and frailty, but further investigations are needed in Brazil and other low/middle-income countries.
Authors: Brian Buta; Ari B Friedman; Shang-En Chung; Orla C Sheehan; Marcela D Blinka; Susan L Gearhart; Qian-Li Xue Journal: BMC Geriatr Date: 2022-08-31 Impact factor: 4.070