Nível de atividade física e quedas em idosos da comunidade: um estudo exploratório

Detalhes bibliográficos
Autor(a) principal: Teixeira, Luiza Faria
Data de Publicação: 2011
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Repositório do Centro Universitário Braz Cubas
Texto Completo: https://repositorio.cruzeirodosul.edu.br/handle/123456789/1156
Resumo: Background: There is no consensus in the literature about the correlation between the physical activity level and the risk of falls in community-dwelling elderly. Some studies suggest that older adults with low level of physical activity would have greater risk of falls, while others suggest that older adults with higher level of physical activity would also have an increased risk of falls. However, few studies have directly investigated this relation and some findings are based on studies that sought to investigate the profile of the older adults who have fallen in and out their homes. The aim of this present study was identify whether there is an association between physical activity level and falls and explore sociodemographic and physical function factors and health conditions related with falls in a representative sample of older adults with high and moderate/low physical activity level. Methods: It is a cross-sectional study in a representative sample of from a population-based sample of 385 Brazilian, men and women aged 65 and older, living in the city of Barueri – São Paulo. This place has part of the older adults population studied by FIBRA (Frailty in Brazilian Older Adults). The occurrence of falls was observed from the self-report of the number of falls in the last year and physical activity level was assessed in the last two weeks by a short version of the Minnesota Leisure Time Activities Questionnaire (MLTPA-Q). The sample was classified in two groups according to the total caloric expenditure in Kg/min/week ascertained for each participant: the Most Active Group (third tertile) and the Less Active Group (first and second tertiles). Data were collected through a multidimensional questionnaire that accomplished socio-demographic (gender, age, education, housing), body mass index (BMI), mental status (Mini-Mental State Examination – MMSE), depressive symptoms (Geriatric Depression Scale – GDS), concern about falling (Falls Efficacy Scale International - FES-I), subjective health perception, number of comorbidities and drugs, poor memory and dizziness complaint, sleeping, vision and hearing problems, fatigue, Advanced Activities of Daily Living (AADL) limitation and physical-functioning tests: handgrip strength, Short Physical Performance Battery (SPPB), Timed Up and Go (TUG), Unipodal Time Stance, Five Step Test, and usual gait speed. We performed a univariate (significance level of α < 0.10) and a multivariate (significance level of α < 0.05) logistic regression analysis through Stepwise – Backward method Results: The average age of participants was 71.4 (5.71SD) and 248 (64%) were woman. The average caloric expenditure among non fallers was 2222.11 kcal/min compared to 1822.38 kcal/ min among the fallers (p = 0.063). There was a higher prevalence of falls in the Less Active Group (69.3%) when compared to the More Active Group (30.7%), but the difference was not statistically significant (p=0.439). Among the most active elderly, the fall was associated with: aged 75 years or more (OR: 3.60, 95% CI: 1,12 to 11,58, p = 0.031), low education (OR: 3.88 , 95% CI: 1.25 - 11.97, p = 0.018), depression (OR: 6.94, 95% CI: 2.00 - 8.24, p = 0.002) and hypertension (OR: 3.30, 95% CI: 1.32 - 8.23, p = 0.010). The specificity and sensitivity of the model were 71.6% and 68.1%, respectively. The adjusted model for the Less Active Group was composed by dizziness (OR: 1.75, 95% CI: 1.04 - 2.93, p = 0.032) and osteoporosis (OR: 2.67, 95% CI: 1.45 - 4.91, p = 0.001), with a specificity of 52.3% and sensitivity of 71.4%. Conclusion: There was no association between physical activity level and falls in this representative population of older adults living in the community, but it is remarkable that about a third of the most active elderly have suffered at least one fall in the previous year. Fallers with higher level of physical activity presented modifiable characteristics that may reduce fall risk and should be addressed in specified fall prevention programs for this population
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spelling Nível de atividade física e quedas em idosos da comunidade: um estudo exploratórioQuedas acidentaisIdosoNível de atividadeAvaliação gerontológicaDesempenho físicoFISIOTERAPIA E TERAPIA OCUPACIONALBackground: There is no consensus in the literature about the correlation between the physical activity level and the risk of falls in community-dwelling elderly. Some studies suggest that older adults with low level of physical activity would have greater risk of falls, while others suggest that older adults with higher level of physical activity would also have an increased risk of falls. However, few studies have directly investigated this relation and some findings are based on studies that sought to investigate the profile of the older adults who have fallen in and out their homes. The aim of this present study was identify whether there is an association between physical activity level and falls and explore sociodemographic and physical function factors and health conditions related with falls in a representative sample of older adults with high and moderate/low physical activity level. Methods: It is a cross-sectional study in a representative sample of from a population-based sample of 385 Brazilian, men and women aged 65 and older, living in the city of Barueri – São Paulo. This place has part of the older adults population studied by FIBRA (Frailty in Brazilian Older Adults). The occurrence of falls was observed from the self-report of the number of falls in the last year and physical activity level was assessed in the last two weeks by a short version of the Minnesota Leisure Time Activities Questionnaire (MLTPA-Q). The sample was classified in two groups according to the total caloric expenditure in Kg/min/week ascertained for each participant: the Most Active Group (third tertile) and the Less Active Group (first and second tertiles). Data were collected through a multidimensional questionnaire that accomplished socio-demographic (gender, age, education, housing), body mass index (BMI), mental status (Mini-Mental State Examination – MMSE), depressive symptoms (Geriatric Depression Scale – GDS), concern about falling (Falls Efficacy Scale International - FES-I), subjective health perception, number of comorbidities and drugs, poor memory and dizziness complaint, sleeping, vision and hearing problems, fatigue, Advanced Activities of Daily Living (AADL) limitation and physical-functioning tests: handgrip strength, Short Physical Performance Battery (SPPB), Timed Up and Go (TUG), Unipodal Time Stance, Five Step Test, and usual gait speed. We performed a univariate (significance level of α < 0.10) and a multivariate (significance level of α < 0.05) logistic regression analysis through Stepwise – Backward method Results: The average age of participants was 71.4 (5.71SD) and 248 (64%) were woman. The average caloric expenditure among non fallers was 2222.11 kcal/min compared to 1822.38 kcal/ min among the fallers (p = 0.063). There was a higher prevalence of falls in the Less Active Group (69.3%) when compared to the More Active Group (30.7%), but the difference was not statistically significant (p=0.439). Among the most active elderly, the fall was associated with: aged 75 years or more (OR: 3.60, 95% CI: 1,12 to 11,58, p = 0.031), low education (OR: 3.88 , 95% CI: 1.25 - 11.97, p = 0.018), depression (OR: 6.94, 95% CI: 2.00 - 8.24, p = 0.002) and hypertension (OR: 3.30, 95% CI: 1.32 - 8.23, p = 0.010). The specificity and sensitivity of the model were 71.6% and 68.1%, respectively. The adjusted model for the Less Active Group was composed by dizziness (OR: 1.75, 95% CI: 1.04 - 2.93, p = 0.032) and osteoporosis (OR: 2.67, 95% CI: 1.45 - 4.91, p = 0.001), with a specificity of 52.3% and sensitivity of 71.4%. Conclusion: There was no association between physical activity level and falls in this representative population of older adults living in the community, but it is remarkable that about a third of the most active elderly have suffered at least one fall in the previous year. Fallers with higher level of physical activity presented modifiable characteristics that may reduce fall risk and should be addressed in specified fall prevention programs for this populationIntrodução: Não há consenso na literatura sobre a correlação entre o nível de atividade física e o risco de quedas em idosos da comunidade. Alguns estudos apontam que os idosos com baixo nível de atividade teriam maior risco de quedas, enquanto outros sugerem que idosos com maior nível de atividade também teriam um risco aumentado de cair. No entanto, poucos estudos investigaram diretamente esta relação e alguns achados estão baseados em estudos que se propuseram a investigar o perfil dos idosos que caíram dentro e fora de casa. O presente estudo teve como objetivo identificar se existe uma associação entre nível de atividade física e quedas; e explorar fatores sociodemográficos, físico-funcionais e condições de saúde, associados a quedas em uma amostra representativa de idosos com alto e moderado/baixo nível de atividade física. Métodos: Trata-se de um estudo transversal em amostra representativa de base populacional de 385 idosos brasileiros de ambos os gêneros com 65 anos ou mais residentes no município de Barueri – São Paulo. Esta localidade compõe a população de idosos investigada pela Rede FIBRA (Rede de Estudos de Fragilidade de Idosos Brasileiros). A ocorrência de queda foi investigada a partir do autorelato no número de quedas no último ano e o nível de atividade física foi avaliado nas duas últimas semanas por meio de uma versão curta do Minnesota Leisure Time Activities Questionnaire (MLTPA-Q). A amostra foi classificada em dois grupos de acordo com o gasto calórico total em Kg/min/semana avaliado para cada participante: Grupo Mais Ativo (terceiro tercil) e Grupo Menos Ativo (primeiro e segundo tercis). Os dados foram coletados através de um questionário multidimensional compreendido por fatores sociodemográficos (gênero, idade, escolaridade e arranjo moradia), índice de massa corporal (IMC), estado mental (Mini-Exame do Estado Mental - MEEM), sintomas depressivos (Geriatric Depression Scale – GDS), preocupação com queda (Falls Efficacy Scale International - FES-I), percepção de saúde subjetiva, número de comorbidades e medicamentos, problemas de memória, queixa de tontura, problemas para dormir, visão e audição, fadiga, Atividades Avançadas de Vida Diária (AAVD), limitações em testes físico-funcionais: força de preensão manual, Short Physical Performance Battery (SPPB), Timed Up and Go (TUG), Tempo de Apoio Unipodal, Five Step Test e velocidade de marcha usual. Foi realizada a análise de regressão logística univariada (nível de significância de α < 0,10) e multivariada (nível de significância de α < 0,05) através do método Stepwise – Backward. Resultados: A idade média dos participantes foi de 71,4 (5,71 DP) e 248 (64%) eram mulheres. A média do gasto calórico entre os não caidores foi 2222,11 kcal/min comparado a 1822,38 kcal/min entre os caidores (p = 0,063). Houve uma maior prevalência de quedas no Grupo Menos Ativo (69,3%) quando comparados ao Grupo Mais Ativo (30,7%), mas a diferença não foi estatisticamente significante (p=0,439). Entre os idosos mais ativos, a queda foi associada com: faixa etária de 75 anos ou mais (OR: 3,60, 95% IC: 1,12 to 11,58, p = 0,031), baixa escolaridade (OR: 3,88, 95% IC: 1,25 – 11,97, p = 0,018), depressão (OR: 6,94, 95% IC: 2,00 – 8,24, p = 0,002) e hipertensão arterial (OR: 3,30, 95% IC: 1,32 – 8,23, p = 0,010). A especificidade e sensibilidade do modelo foram 71,6% e 68,1%, respectivamente. O modelo ajustado para o Grupo Menos Ativo foi composto por tontura (OR: 1,75, 95% IC: 1,04 – 2,93, p = 0,032) e osteoporose (OR: 2,67, 95% IC: 1,45 – 4,91, p = 0,001), com especificidade de 52,3% e sensibilidade de 71,4%. Conclusão: Não houve associação entre nível de atividade física e quedas nessa população representativa de idosos residentes na comunidade, mas é notável que cerca de um terço dos idosos mais ativos sofreram pelo menos uma queda no ano anterior. Os idosos caidores com alto nível de atividade física apresentam características modificáveis que poderiam reduzir o risco de quedas e devem ser acrescentadas em programas de prevenção de quedas específicos para esta populaçãoUniversidade Cidade de São PauloBrasilPós-GraduaçãoPrograma de Pós-Graduação Mestrado em FisioterapiaUNICIDPerracini, Monica Rodrigueshttps://orcid.org/0000-0001-9331-3820http://lattes.cnpq.br/4446947795854189Teixeira, Luiza Faria2020-12-02T15:32:07Z2020-12-02T15:32:07Z2011-12-12info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfTEIXEIRA, Luiza Faria. Nível de atividade física e quedas em idosos da comunidade: um estudo exploratório. Orientadora: Prof. Dra. Monica Rodrigues Perracini 2011. 97f. Dissertação (Mestrado em Fisioterapia) - Universidade Cidade de São Paulo. 2011.https://repositorio.cruzeirodosul.edu.br/handle/123456789/1156por1. Plouffe L, Kalache A. Towards global age-friendly cities: determining urban features that promote active aging. 2. World Health Organization: “Growth of the Elderly Population of the World”. In Health of the Elderly. Geneva: WHO Technical Report Series; 1989. p. 8-31. 3. Carvalho JA, Rodriguez-Wong LL. [The changing age distribution of the Brazilian population in the first half of the 21st century]. 4. Stevens JA, Corso PS, Finkelstein EA, Miller TR. The costs of fatal and non-fatal falls among older adults. 5. Christensen K, Doblhammer G, Rau R, Vaupel JW. Ageing populations: the challenges ahead. 6. Zecevic AA, Salmoni AW, Speechley M, Vandervoort AA. Defining a fall and reasons for falling: comparisons among the views of seniors, health care providers, and the research literature. 7. Tinetti ME, Kumar C. The patient who falls: "It's always a trade-off". 8. Stel VS, Pluijm SM, Deeg DJ, Smit JH, Bouter LM, Lips P. A classification tree for predicting recurrent falling in community-dwelling older persons. 9. Rubenstein LZ, Josephson KR. The epidemiology of falls and syncope. 10. Summary of the Updated American Geriatrics Society/British Geriatrics Society clinical practice guideline for prevention of falls in older persons. 11. Deandrea S, Lucenteforte E, Bravi F, Foschi R, La Vecchia C, Negri E. Risk factors for falls in community-dwelling older people: a systematic review and meta-analysis. 12. Inouye SK, Studenski S, Tinetti ME, Kuchel GA. Geriatric syndromes: clinical, research, and policy implications of a core geriatric concept. 13. Bergman H, Ferrucci L, Guralnik J, Hogan DB, Hummel S, Karunananthan S, et al. Frailty: an emerging research and clinical paradigm--issues and controversies. 14. Walston J, Hadley EC, Ferrucci L, Guralnik JM, Newman AB, Studenski SA, et al. Research agenda for frailty in older adults: toward a better understanding of physiology and etiology: summary from the American Geriatrics Society/National Institute on Aging Research Conference on Frailty in Older Adults. 15. Hogan DB, MacKnight C, Bergman H. Models, definitions, and criteria of frailty. 16. Rockwood K, Mitnitski A. Frailty in relation to the accumulation of deficits. 17. Fried LP, Tangen CM, Walston J, Newman AB, Hirsch C, Gottdiener J, et al. Frailty in older adults: evidence for a phenotype. 18. Rockwood K, Song X, MacKnight C, Bergman H, Hogan DB, McDowell I, et al. A global clinical measure of fitness and frailty in elderly people. 19. Syddall H, Cooper C, Martin F, Briggs R, Aihie Sayer A. Is grip strength a useful single marker of frailty? 20. Strawbridge WJ, Shema SJ, Balfour JL, Higby HR, Kaplan GA. Antecedents of frailty over three decades in an older cohort. 21. Brody KK, Johnson RE, Douglas Ried L. Evaluation of a self-report screening instrument to predict frailty outcomes in aging populations. 22. De Lepeleire J, Iliffe S, Mann E, Degryse JM. Frailty: an emerging concept for general practice. 23. Rockwood K, Andrew M, Mitnitski A. A comparison of two approaches to measuring frailty in elderly people. 24. Ferreira MT, Matsudo SM, Ribeiro MC, Ramos LR. Health-related factors correlate with behavior trends in physical activity level in old age: longitudinal results from a population in Sao Paulo, Brazil. 25. Lang PO, Michel JP, Zekry D. Frailty syndrome: a transitional state in a dynamic process. 26. Cruz-Jentoft AJ, Baeyens JP, Bauer JM, Boirie Y, Cederholm T, Landi F, et al. Sarcopenia: European consensus on definition and diagnosis: Report of the European Working Group on Sarcopenia in Older People. 27. Rose DJ. Preventing falls among older adults: no "one size suits all" intervention strategy. 28. Tribess S, Virtuoso-Junior JS, Petroski EL. [Factors associated with physical inactivity amongst elderly women in low-income communities]. 29. Hallal PC, Victora CG, Wells JC, Lima RC. Physical inactivity: prevalence and associated variables in Brazilian adults. 30. Gillespie LD, Robertson MC, Gillespie WJ, Lamb SE, Gates S, Cumming RG, et al. Interventions for preventing falls in older people living in the community. 31. Sherrington C, Whitney JC, Lord SR, Herbert RD, Cumming RG, Close JC. Effective exercise for the prevention of falls: a systematic review and meta-analysis. 32. Chan BK, Marshall LM, Winters KM, Faulkner KA, Schwartz AV, Orwoll ES. Incident fall risk and physical activity and physical performance among older men: the Osteoporotic Fractures in Men Study. 33. Faulkner KA, Cauley JA, Studenski SA, Landsittel DP, Cummings SR, Ensrud KE, et al. Lifestyle predicts falls independent of physical risk factors. 34. Ribom EL, Grundberg E, Mallmin H, Ohlsson C, Lorenzon M, Orwoll E, et al. Estimation of physical performance and measurements of habitual physical activity may capture men with high risk to fall--data from the Mr Os Sweden cohort. 35. Mertz KJ, Lee DC, Sui X, Powell KE, Blair SN. Falls among adults: the association of cardiorespiratory fitness and physical activity with walking-related falls. 36. Peeters GM, van Schoor NM, Pluijm SM, Deeg DJ, Lips P. Is there a U-shaped association between physical activity and falling in older persons? 37. Peeters GM, Verweij LM, van Schoor NM, Pijnappels M, Pluijm SM, Visser M, et al. Which types of activities are associated with risk of recurrent falling in older persons? 38. Delbaere K, Close JC, Heim J, Sachdev PS, Brodaty H, Slavin MJ, et al. A multifactorial approach to understanding fall risk in older people. 39. Gregg EW, Pereira MA, Caspersen CJ. Physical activity, falls, and fractures among older adults: a review of the epidemiologic evidence. 40. Mazo G, Liposcki D, Ananda C, Prevê D. Condições de Saúde, Incidência de Quedas e Nível de Atividade Física dos Idosos. 41. Wijlhuizen GJ, de Jong R, Hopman-Rock M. Older persons afraid of falling reduce physical activity to prevent outdoor falls. 42. Li W, Keegan TH, Sternfeld B, Sidney S, Quesenberry CP, Jr., Kelsey JL. Outdoor falls among middle-aged and older adults: a neglected public health problem. 43. Kelsey JL, Berry SD, Procter-Gray E, Quach L, Nguyen US, Li W, et al. Indoor and outdoor falls in older adults are different: the maintenance of balance, independent living, intellect, and Zest in the Elderly of Boston Study. 44. Heesch KC, Byles JE, Brown WJ. Prospective association between physical activity and falls in community-dwelling older women. 45. Gregson CL, Carson C, Amuzu A, Ebrahim S. The association between graded physical activity in postmenopausal British women, and the prevalence and incidence of hip and wrist fractures. 46. Jefferson AL, Paul RH, Ozonoff A, Cohen RA. Evaluating elements of executive functioning as predictors of instrumental activities of daily living (IADLs). 47. Johnson JK, Lui LY, Yaffe K. Executive function, more than global cognition, predicts functional decline and mortality in elderly women. 48. Friedman SM, Munoz B, West SK, Rubin GS, Fried LP. Falls and fear of falling: which comes first? A longitudinal prediction model suggests strategies for primary and secondary prevention. 49. Zijlstra GA, van Haastregt JC, van Rossum E, van Eijk JT, Yardley L, Kempen GI. Interventions to reduce fear of falling in community-living older people: a systematic review. 50. Araujo LG, Lima DM, Sampaio RF, Pereira LS. Pain Locus of control scale: adaption and reliability for elderly. 51. Luszczynska A, Schwarzer R. Multidimensional health locus of control: comments on the construct and its measurement. 52. Wijlhuizen GJ, Chorus AM, Hopman-Rock M. The FARE: a new way to express FAlls Risk among older persons including physical activity as a measure of exposure. 53. Bleijlevens MH, Diederiks JP, Hendriks MR, van Haastregt JC, Crebolder HF, van Eijk JT. Relationship between location and activity in injurious falls: an exploratory study. 54. Deshpande N, Metter EJ, Lauretani F, Bandinelli S, Guralnik J, Ferrucci L. Activity restriction induced by fear of falling and objective and subjective measures of physical function: a prospective cohort study. 55. Dukyoo J, Juhee L, Lee SM. A meta-analysis of fear of falling treatment programs for the elderly. 56. Maki BE. Gait changes in older adults: predictors of falls or indicators of fear. 57. Chamberlin ME, Fulwider BD, Sanders SL, Medeiros JM. Does fear of falling influence spatial and temporal gait parameters in elderly persons beyond changes associated with normal aging? 58. Verghese J, Holtzer R, Lipton RB, Wang C. Quantitative gait markers and incident fall risk in older adults. 59. Kirkwood RN, Trede RG, Moreira Bde S, Kirkwood SA, Pereira LS. Decreased gastrocnemius temporal muscle activation during gait in elderly women with history of recurrent falls. 60. Caspersen CJ, Powell KE, Christenson GM. Physical activity, exercise, and physical fitness: definitions and distinctions for health-related research. 61. Smith GD, Morris JN. Assessment of physical activity, and physical fitness, in population surveys. 62. Howley ET. Type of activity: resistance, aerobic and leisure versus occupational physical activity. 63. Dumith SC. Physical activity in Brazil: a systematic review. 64. Ashe MC, Miller WC, Eng JJ, Noreau L. Older adults, chronic disease and leisure-time physical activity. 65. Jorstad-Stein EC, Hauer K, Becker C, Bonnefoy M, Nakash RA, Skelton DA, et al. Suitability of physical activity questionnaires for older adults in fall-prevention trials: a systematic review. 66. Guthrie JR. Physical activity: measurement in mid-life women. 67. Delbaere K, Hauer K, Lord SR. Evaluation of the incidental and planned activity questionnaire for older people. 68. Voorrips LE, Ravelli AC, Dongelmans PC, Deurenberg P, Van Staveren WA. A physical activity questionnaire for the elderly. 69. Stewart AL, Mills KM, Sepsis PG, King AC, McLellan BY, Roitz K, et al. Evaluation of CHAMPS, a physical activity promotion program for older adults. 70. Starling RD, Matthews DE, Ades PA, Poehlman ET. Assessment of physical activity in older individuals: a doubly labeled water study. 71. Conway JM, Irwin ML, Ainsworth BE. Estimating energy expenditure from the Minnesota Leisure Time Physical Activity and Tecumseh Occupational Activity questionnaires - a doubly labeled water validation. 72. Bucksch J. Physical activity of moderate intensity in leisure time and the risk of all cause mortality. 73. Denkinger MD, Franke S, Rapp K, Weinmayr G, Duran-Tauleria E, Nikolaus T, et al. Accelerometer-based physical activity in a large observational cohort--study protocol and design of the activity and function of the elderly in Ulm (ActiFE Ulm) study. 74. Hauer K, Lamb SE, Jorstad EC, Todd C, Becker C. Systematic review of definitions and methods of measuring falls in randomised controlled fall prevention trials. 75. Ferrucci L, Guralnik JM, Studenski S, Fried LP, Cutler GB, Jr., Walston JD. Designing randomized, controlled trials aimed at preventing or delaying functional decline and disability in frail, older persons: a consensus report. 76. Folstein MF, Folstein SE, McHugh PR. "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician. 77. Bertolucci PH, Brucki SM, Campacci SR, Juliano Y. [The Mini-Mental State Examination in a general population: impact of educational status]. 78. Brucki SM, Nitrini R, Caramelli P, Bertolucci PH, Okamoto IH. [Suggestions for utilization of the mini-mental state examination in Brazil]. 79. The prevention of falls in later life. A report of the Kellogg International Work Group on the Prevention of Falls by the Elderly. 80. Taylor HL, Jacobs DR, Jr., Schucker B, Knudsen J, Leon AS, Debacker G. A questionnaire for the assessment of leisure time physical activities. 81. Lustosa L, Pereira D, Dias R, Britto R, Parentoni A, Pereira L. Tradução e adaptação transcultural do Minnesota Leisure Time Activities Questionnaire em idosos. 82. Ainsworth BE, Haskell WL, Whitt MC, Irwin ML, Swartz AM, Strath SJ, et al. Compendium of physical activities: an update of activity codes and MET intensities. 83. Folsom AR, Jacobs DR, Jr., Caspersen CJ, Gomez-Marin O, Knudsen J. Test-retest reliability of the Minnesota Leisure Time Physical Activity Questionnaire. 84. Yesavage JA, Brink TL, Rose TL, Lum O, Huang V, Adey M, et al. Development and validation of a geriatric depression screening scale: a preliminary report. 85. Paradela EM, Lourenco RA, Veras RP. [Validation of geriatric depression scale in a general outpatient clinic]. 86. Yardley L, Beyer N, Hauer K, Kempen G, Piot-Ziegler C, Todd C. Development and initial validation of the Falls Efficacy Scale-International (FES-I). 87. Camargos FF, Dias RC, Dias JM, Freire MT. Cross-cultural adaptation and evaluation of the psychometric properties of the Falls Efficacy Scale-International Among Elderly Brazilians (FES-I-BRAZIL). 88. Delbaere K, Close JC, Mikolaizak AS, Sachdev PS, Brodaty H, Lord SR. The Falls Efficacy Scale International (FES-I). A comprehensive longitudinal validation study. 89. Radloff L. The CES-D Scale: A Self-Report Depression Scale for Research in the General Population. 90. Batistoni SS, Neri AL, Cupertino AP. [Validity of the Center for Epidemiological Studies Depression Scale among Brazilian elderly]. 91. Reuben DB, Laliberte L, Hiris J, Mor V. A hierarchical exercise scale to measure function at the Advanced Activities of Daily Living (AADL) level. 92. Crosby CA, Wehbe MA, Mawr B. Hand strength: normative values. 93. Fess E. Grip Strength. In: Therapists American Society of Hand Therapists. Clinical assessment recommendations. 2nd ed. Chicago1992. p. 41-45. 94. Rantanen T, Masaki K, Foley D, Izmirlian G, White L, Guralnik JM. Grip strength changes over 27 yr in Japanese-American men. 95. Cesari M, Onder G, Russo A, Zamboni V, Barillaro C, Ferrucci L, et al. Comorbidity and physical function: results from the aging and longevity study in the Sirente geographic area (ilSIRENTE study). 96. Nakano M. Versão Brasileira da Short Physical Performance Battery - SPPB: adaptação cultural e estudo de confiabilidade [Dissertação]. Campinas: Universidade Estadual de Campinas: 2007. 97. Guralnik JM, Simonsick EM, Ferrucci L, Glynn RJ, Berkman LF, Blazer DG, et al. A short physical performance battery assessing lower extremity function: association with self-reported disability and prediction of mortality and nursing home admission. 98. Vasunilashorn S, Coppin AK, Patel KV, Lauretani F, Ferrucci L, Bandinelli S, et al. Use of the Short Physical Performance Battery Score to predict loss of ability to walk 400 meters: analysis from the InCHIANTI study. 99. Podsiadlo D, Richardson S. The timed "Up & Go": a test of basic functional mobility for frail elderly persons. 100. van Iersel MB, Munneke M, Esselink RA, Benraad CE, Olde Rikkert MG. Gait velocity and the Timed-Up-and-Go test were sensitive to changes in mobility in frail elderly patients. 101. Vellas BJ, Wayne SJ, Romero L, Baumgartner RN, Rubenstein LZ, Garry PJ. One-leg balance is an important predictor of injurious falls in older persons. 102. Murphy M, Olson S, Protas E, Overby A. Screening for Falls in Community-Dwelling Elderly. 103. Tinetti ME, Speechley M. Prevention of falls among the elderly. 104. Cabrera MA, Wajngarten M, Gebara OC, Diament J. [Relationship between body mass index, waist circumference, and waist-to-hip ratio and mortality in elderly women: a 5-year follow-up study].info:eu-repo/semantics/openAccessreponame:Repositório do Centro Universitário Braz Cubasinstname:Centro Universitário Braz Cubas (CUB)instacron:CUB2020-12-02T15:34:30Zoai:repositorio.cruzeirodosul.edu.br:123456789/1156Repositório InstitucionalPUBhttps://repositorio.brazcubas.edu.br/oai/requestbibli@brazcubas.edu.bropendoar:2020-12-02T15:34:30Repositório do Centro Universitário Braz Cubas - Centro Universitário Braz Cubas (CUB)false
dc.title.none.fl_str_mv Nível de atividade física e quedas em idosos da comunidade: um estudo exploratório
title Nível de atividade física e quedas em idosos da comunidade: um estudo exploratório
spellingShingle Nível de atividade física e quedas em idosos da comunidade: um estudo exploratório
Teixeira, Luiza Faria
Quedas acidentais
Idoso
Nível de atividade
Avaliação gerontológica
Desempenho físico
FISIOTERAPIA E TERAPIA OCUPACIONAL
title_short Nível de atividade física e quedas em idosos da comunidade: um estudo exploratório
title_full Nível de atividade física e quedas em idosos da comunidade: um estudo exploratório
title_fullStr Nível de atividade física e quedas em idosos da comunidade: um estudo exploratório
title_full_unstemmed Nível de atividade física e quedas em idosos da comunidade: um estudo exploratório
title_sort Nível de atividade física e quedas em idosos da comunidade: um estudo exploratório
author Teixeira, Luiza Faria
author_facet Teixeira, Luiza Faria
author_role author
dc.contributor.none.fl_str_mv Perracini, Monica Rodrigues
https://orcid.org/0000-0001-9331-3820
http://lattes.cnpq.br/4446947795854189
dc.contributor.author.fl_str_mv Teixeira, Luiza Faria
dc.subject.por.fl_str_mv Quedas acidentais
Idoso
Nível de atividade
Avaliação gerontológica
Desempenho físico
FISIOTERAPIA E TERAPIA OCUPACIONAL
topic Quedas acidentais
Idoso
Nível de atividade
Avaliação gerontológica
Desempenho físico
FISIOTERAPIA E TERAPIA OCUPACIONAL
description Background: There is no consensus in the literature about the correlation between the physical activity level and the risk of falls in community-dwelling elderly. Some studies suggest that older adults with low level of physical activity would have greater risk of falls, while others suggest that older adults with higher level of physical activity would also have an increased risk of falls. However, few studies have directly investigated this relation and some findings are based on studies that sought to investigate the profile of the older adults who have fallen in and out their homes. The aim of this present study was identify whether there is an association between physical activity level and falls and explore sociodemographic and physical function factors and health conditions related with falls in a representative sample of older adults with high and moderate/low physical activity level. Methods: It is a cross-sectional study in a representative sample of from a population-based sample of 385 Brazilian, men and women aged 65 and older, living in the city of Barueri – São Paulo. This place has part of the older adults population studied by FIBRA (Frailty in Brazilian Older Adults). The occurrence of falls was observed from the self-report of the number of falls in the last year and physical activity level was assessed in the last two weeks by a short version of the Minnesota Leisure Time Activities Questionnaire (MLTPA-Q). The sample was classified in two groups according to the total caloric expenditure in Kg/min/week ascertained for each participant: the Most Active Group (third tertile) and the Less Active Group (first and second tertiles). Data were collected through a multidimensional questionnaire that accomplished socio-demographic (gender, age, education, housing), body mass index (BMI), mental status (Mini-Mental State Examination – MMSE), depressive symptoms (Geriatric Depression Scale – GDS), concern about falling (Falls Efficacy Scale International - FES-I), subjective health perception, number of comorbidities and drugs, poor memory and dizziness complaint, sleeping, vision and hearing problems, fatigue, Advanced Activities of Daily Living (AADL) limitation and physical-functioning tests: handgrip strength, Short Physical Performance Battery (SPPB), Timed Up and Go (TUG), Unipodal Time Stance, Five Step Test, and usual gait speed. We performed a univariate (significance level of α < 0.10) and a multivariate (significance level of α < 0.05) logistic regression analysis through Stepwise – Backward method Results: The average age of participants was 71.4 (5.71SD) and 248 (64%) were woman. The average caloric expenditure among non fallers was 2222.11 kcal/min compared to 1822.38 kcal/ min among the fallers (p = 0.063). There was a higher prevalence of falls in the Less Active Group (69.3%) when compared to the More Active Group (30.7%), but the difference was not statistically significant (p=0.439). Among the most active elderly, the fall was associated with: aged 75 years or more (OR: 3.60, 95% CI: 1,12 to 11,58, p = 0.031), low education (OR: 3.88 , 95% CI: 1.25 - 11.97, p = 0.018), depression (OR: 6.94, 95% CI: 2.00 - 8.24, p = 0.002) and hypertension (OR: 3.30, 95% CI: 1.32 - 8.23, p = 0.010). The specificity and sensitivity of the model were 71.6% and 68.1%, respectively. The adjusted model for the Less Active Group was composed by dizziness (OR: 1.75, 95% CI: 1.04 - 2.93, p = 0.032) and osteoporosis (OR: 2.67, 95% CI: 1.45 - 4.91, p = 0.001), with a specificity of 52.3% and sensitivity of 71.4%. Conclusion: There was no association between physical activity level and falls in this representative population of older adults living in the community, but it is remarkable that about a third of the most active elderly have suffered at least one fall in the previous year. Fallers with higher level of physical activity presented modifiable characteristics that may reduce fall risk and should be addressed in specified fall prevention programs for this population
publishDate 2011
dc.date.none.fl_str_mv 2011-12-12
2020-12-02T15:32:07Z
2020-12-02T15:32:07Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv TEIXEIRA, Luiza Faria. Nível de atividade física e quedas em idosos da comunidade: um estudo exploratório. Orientadora: Prof. Dra. Monica Rodrigues Perracini 2011. 97f. Dissertação (Mestrado em Fisioterapia) - Universidade Cidade de São Paulo. 2011.
https://repositorio.cruzeirodosul.edu.br/handle/123456789/1156
identifier_str_mv TEIXEIRA, Luiza Faria. Nível de atividade física e quedas em idosos da comunidade: um estudo exploratório. Orientadora: Prof. Dra. Monica Rodrigues Perracini 2011. 97f. Dissertação (Mestrado em Fisioterapia) - Universidade Cidade de São Paulo. 2011.
url https://repositorio.cruzeirodosul.edu.br/handle/123456789/1156
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv 1. Plouffe L, Kalache A. Towards global age-friendly cities: determining urban features that promote active aging. 2. World Health Organization: “Growth of the Elderly Population of the World”. In Health of the Elderly. Geneva: WHO Technical Report Series; 1989. p. 8-31. 3. Carvalho JA, Rodriguez-Wong LL. [The changing age distribution of the Brazilian population in the first half of the 21st century]. 4. Stevens JA, Corso PS, Finkelstein EA, Miller TR. The costs of fatal and non-fatal falls among older adults. 5. Christensen K, Doblhammer G, Rau R, Vaupel JW. Ageing populations: the challenges ahead. 6. Zecevic AA, Salmoni AW, Speechley M, Vandervoort AA. Defining a fall and reasons for falling: comparisons among the views of seniors, health care providers, and the research literature. 7. Tinetti ME, Kumar C. The patient who falls: "It's always a trade-off". 8. Stel VS, Pluijm SM, Deeg DJ, Smit JH, Bouter LM, Lips P. A classification tree for predicting recurrent falling in community-dwelling older persons. 9. Rubenstein LZ, Josephson KR. The epidemiology of falls and syncope. 10. Summary of the Updated American Geriatrics Society/British Geriatrics Society clinical practice guideline for prevention of falls in older persons. 11. Deandrea S, Lucenteforte E, Bravi F, Foschi R, La Vecchia C, Negri E. Risk factors for falls in community-dwelling older people: a systematic review and meta-analysis. 12. Inouye SK, Studenski S, Tinetti ME, Kuchel GA. Geriatric syndromes: clinical, research, and policy implications of a core geriatric concept. 13. Bergman H, Ferrucci L, Guralnik J, Hogan DB, Hummel S, Karunananthan S, et al. Frailty: an emerging research and clinical paradigm--issues and controversies. 14. Walston J, Hadley EC, Ferrucci L, Guralnik JM, Newman AB, Studenski SA, et al. Research agenda for frailty in older adults: toward a better understanding of physiology and etiology: summary from the American Geriatrics Society/National Institute on Aging Research Conference on Frailty in Older Adults. 15. Hogan DB, MacKnight C, Bergman H. Models, definitions, and criteria of frailty. 16. Rockwood K, Mitnitski A. Frailty in relation to the accumulation of deficits. 17. Fried LP, Tangen CM, Walston J, Newman AB, Hirsch C, Gottdiener J, et al. Frailty in older adults: evidence for a phenotype. 18. Rockwood K, Song X, MacKnight C, Bergman H, Hogan DB, McDowell I, et al. A global clinical measure of fitness and frailty in elderly people. 19. Syddall H, Cooper C, Martin F, Briggs R, Aihie Sayer A. Is grip strength a useful single marker of frailty? 20. Strawbridge WJ, Shema SJ, Balfour JL, Higby HR, Kaplan GA. Antecedents of frailty over three decades in an older cohort. 21. Brody KK, Johnson RE, Douglas Ried L. Evaluation of a self-report screening instrument to predict frailty outcomes in aging populations. 22. De Lepeleire J, Iliffe S, Mann E, Degryse JM. Frailty: an emerging concept for general practice. 23. Rockwood K, Andrew M, Mitnitski A. A comparison of two approaches to measuring frailty in elderly people. 24. Ferreira MT, Matsudo SM, Ribeiro MC, Ramos LR. Health-related factors correlate with behavior trends in physical activity level in old age: longitudinal results from a population in Sao Paulo, Brazil. 25. Lang PO, Michel JP, Zekry D. Frailty syndrome: a transitional state in a dynamic process. 26. Cruz-Jentoft AJ, Baeyens JP, Bauer JM, Boirie Y, Cederholm T, Landi F, et al. Sarcopenia: European consensus on definition and diagnosis: Report of the European Working Group on Sarcopenia in Older People. 27. Rose DJ. Preventing falls among older adults: no "one size suits all" intervention strategy. 28. Tribess S, Virtuoso-Junior JS, Petroski EL. [Factors associated with physical inactivity amongst elderly women in low-income communities]. 29. Hallal PC, Victora CG, Wells JC, Lima RC. Physical inactivity: prevalence and associated variables in Brazilian adults. 30. Gillespie LD, Robertson MC, Gillespie WJ, Lamb SE, Gates S, Cumming RG, et al. Interventions for preventing falls in older people living in the community. 31. Sherrington C, Whitney JC, Lord SR, Herbert RD, Cumming RG, Close JC. Effective exercise for the prevention of falls: a systematic review and meta-analysis. 32. Chan BK, Marshall LM, Winters KM, Faulkner KA, Schwartz AV, Orwoll ES. Incident fall risk and physical activity and physical performance among older men: the Osteoporotic Fractures in Men Study. 33. Faulkner KA, Cauley JA, Studenski SA, Landsittel DP, Cummings SR, Ensrud KE, et al. Lifestyle predicts falls independent of physical risk factors. 34. Ribom EL, Grundberg E, Mallmin H, Ohlsson C, Lorenzon M, Orwoll E, et al. Estimation of physical performance and measurements of habitual physical activity may capture men with high risk to fall--data from the Mr Os Sweden cohort. 35. Mertz KJ, Lee DC, Sui X, Powell KE, Blair SN. Falls among adults: the association of cardiorespiratory fitness and physical activity with walking-related falls. 36. Peeters GM, van Schoor NM, Pluijm SM, Deeg DJ, Lips P. Is there a U-shaped association between physical activity and falling in older persons? 37. Peeters GM, Verweij LM, van Schoor NM, Pijnappels M, Pluijm SM, Visser M, et al. Which types of activities are associated with risk of recurrent falling in older persons? 38. Delbaere K, Close JC, Heim J, Sachdev PS, Brodaty H, Slavin MJ, et al. A multifactorial approach to understanding fall risk in older people. 39. Gregg EW, Pereira MA, Caspersen CJ. Physical activity, falls, and fractures among older adults: a review of the epidemiologic evidence. 40. Mazo G, Liposcki D, Ananda C, Prevê D. Condições de Saúde, Incidência de Quedas e Nível de Atividade Física dos Idosos. 41. Wijlhuizen GJ, de Jong R, Hopman-Rock M. Older persons afraid of falling reduce physical activity to prevent outdoor falls. 42. Li W, Keegan TH, Sternfeld B, Sidney S, Quesenberry CP, Jr., Kelsey JL. Outdoor falls among middle-aged and older adults: a neglected public health problem. 43. Kelsey JL, Berry SD, Procter-Gray E, Quach L, Nguyen US, Li W, et al. Indoor and outdoor falls in older adults are different: the maintenance of balance, independent living, intellect, and Zest in the Elderly of Boston Study. 44. Heesch KC, Byles JE, Brown WJ. Prospective association between physical activity and falls in community-dwelling older women. 45. Gregson CL, Carson C, Amuzu A, Ebrahim S. The association between graded physical activity in postmenopausal British women, and the prevalence and incidence of hip and wrist fractures. 46. Jefferson AL, Paul RH, Ozonoff A, Cohen RA. Evaluating elements of executive functioning as predictors of instrumental activities of daily living (IADLs). 47. Johnson JK, Lui LY, Yaffe K. Executive function, more than global cognition, predicts functional decline and mortality in elderly women. 48. Friedman SM, Munoz B, West SK, Rubin GS, Fried LP. Falls and fear of falling: which comes first? A longitudinal prediction model suggests strategies for primary and secondary prevention. 49. Zijlstra GA, van Haastregt JC, van Rossum E, van Eijk JT, Yardley L, Kempen GI. Interventions to reduce fear of falling in community-living older people: a systematic review. 50. Araujo LG, Lima DM, Sampaio RF, Pereira LS. Pain Locus of control scale: adaption and reliability for elderly. 51. Luszczynska A, Schwarzer R. Multidimensional health locus of control: comments on the construct and its measurement. 52. Wijlhuizen GJ, Chorus AM, Hopman-Rock M. The FARE: a new way to express FAlls Risk among older persons including physical activity as a measure of exposure. 53. Bleijlevens MH, Diederiks JP, Hendriks MR, van Haastregt JC, Crebolder HF, van Eijk JT. Relationship between location and activity in injurious falls: an exploratory study. 54. Deshpande N, Metter EJ, Lauretani F, Bandinelli S, Guralnik J, Ferrucci L. Activity restriction induced by fear of falling and objective and subjective measures of physical function: a prospective cohort study. 55. Dukyoo J, Juhee L, Lee SM. A meta-analysis of fear of falling treatment programs for the elderly. 56. Maki BE. Gait changes in older adults: predictors of falls or indicators of fear. 57. Chamberlin ME, Fulwider BD, Sanders SL, Medeiros JM. Does fear of falling influence spatial and temporal gait parameters in elderly persons beyond changes associated with normal aging? 58. Verghese J, Holtzer R, Lipton RB, Wang C. Quantitative gait markers and incident fall risk in older adults. 59. Kirkwood RN, Trede RG, Moreira Bde S, Kirkwood SA, Pereira LS. Decreased gastrocnemius temporal muscle activation during gait in elderly women with history of recurrent falls. 60. Caspersen CJ, Powell KE, Christenson GM. Physical activity, exercise, and physical fitness: definitions and distinctions for health-related research. 61. Smith GD, Morris JN. Assessment of physical activity, and physical fitness, in population surveys. 62. Howley ET. Type of activity: resistance, aerobic and leisure versus occupational physical activity. 63. Dumith SC. Physical activity in Brazil: a systematic review. 64. Ashe MC, Miller WC, Eng JJ, Noreau L. Older adults, chronic disease and leisure-time physical activity. 65. Jorstad-Stein EC, Hauer K, Becker C, Bonnefoy M, Nakash RA, Skelton DA, et al. Suitability of physical activity questionnaires for older adults in fall-prevention trials: a systematic review. 66. Guthrie JR. Physical activity: measurement in mid-life women. 67. Delbaere K, Hauer K, Lord SR. Evaluation of the incidental and planned activity questionnaire for older people. 68. Voorrips LE, Ravelli AC, Dongelmans PC, Deurenberg P, Van Staveren WA. A physical activity questionnaire for the elderly. 69. Stewart AL, Mills KM, Sepsis PG, King AC, McLellan BY, Roitz K, et al. Evaluation of CHAMPS, a physical activity promotion program for older adults. 70. Starling RD, Matthews DE, Ades PA, Poehlman ET. Assessment of physical activity in older individuals: a doubly labeled water study. 71. Conway JM, Irwin ML, Ainsworth BE. Estimating energy expenditure from the Minnesota Leisure Time Physical Activity and Tecumseh Occupational Activity questionnaires - a doubly labeled water validation. 72. Bucksch J. Physical activity of moderate intensity in leisure time and the risk of all cause mortality. 73. Denkinger MD, Franke S, Rapp K, Weinmayr G, Duran-Tauleria E, Nikolaus T, et al. Accelerometer-based physical activity in a large observational cohort--study protocol and design of the activity and function of the elderly in Ulm (ActiFE Ulm) study. 74. Hauer K, Lamb SE, Jorstad EC, Todd C, Becker C. Systematic review of definitions and methods of measuring falls in randomised controlled fall prevention trials. 75. Ferrucci L, Guralnik JM, Studenski S, Fried LP, Cutler GB, Jr., Walston JD. Designing randomized, controlled trials aimed at preventing or delaying functional decline and disability in frail, older persons: a consensus report. 76. Folstein MF, Folstein SE, McHugh PR. "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician. 77. Bertolucci PH, Brucki SM, Campacci SR, Juliano Y. [The Mini-Mental State Examination in a general population: impact of educational status]. 78. Brucki SM, Nitrini R, Caramelli P, Bertolucci PH, Okamoto IH. [Suggestions for utilization of the mini-mental state examination in Brazil]. 79. The prevention of falls in later life. A report of the Kellogg International Work Group on the Prevention of Falls by the Elderly. 80. Taylor HL, Jacobs DR, Jr., Schucker B, Knudsen J, Leon AS, Debacker G. A questionnaire for the assessment of leisure time physical activities. 81. Lustosa L, Pereira D, Dias R, Britto R, Parentoni A, Pereira L. Tradução e adaptação transcultural do Minnesota Leisure Time Activities Questionnaire em idosos. 82. Ainsworth BE, Haskell WL, Whitt MC, Irwin ML, Swartz AM, Strath SJ, et al. Compendium of physical activities: an update of activity codes and MET intensities. 83. Folsom AR, Jacobs DR, Jr., Caspersen CJ, Gomez-Marin O, Knudsen J. Test-retest reliability of the Minnesota Leisure Time Physical Activity Questionnaire. 84. Yesavage JA, Brink TL, Rose TL, Lum O, Huang V, Adey M, et al. Development and validation of a geriatric depression screening scale: a preliminary report. 85. Paradela EM, Lourenco RA, Veras RP. [Validation of geriatric depression scale in a general outpatient clinic]. 86. Yardley L, Beyer N, Hauer K, Kempen G, Piot-Ziegler C, Todd C. Development and initial validation of the Falls Efficacy Scale-International (FES-I). 87. Camargos FF, Dias RC, Dias JM, Freire MT. Cross-cultural adaptation and evaluation of the psychometric properties of the Falls Efficacy Scale-International Among Elderly Brazilians (FES-I-BRAZIL). 88. Delbaere K, Close JC, Mikolaizak AS, Sachdev PS, Brodaty H, Lord SR. The Falls Efficacy Scale International (FES-I). A comprehensive longitudinal validation study. 89. Radloff L. The CES-D Scale: A Self-Report Depression Scale for Research in the General Population. 90. Batistoni SS, Neri AL, Cupertino AP. [Validity of the Center for Epidemiological Studies Depression Scale among Brazilian elderly]. 91. Reuben DB, Laliberte L, Hiris J, Mor V. A hierarchical exercise scale to measure function at the Advanced Activities of Daily Living (AADL) level. 92. Crosby CA, Wehbe MA, Mawr B. Hand strength: normative values. 93. Fess E. Grip Strength. In: Therapists American Society of Hand Therapists. Clinical assessment recommendations. 2nd ed. Chicago1992. p. 41-45. 94. Rantanen T, Masaki K, Foley D, Izmirlian G, White L, Guralnik JM. Grip strength changes over 27 yr in Japanese-American men. 95. Cesari M, Onder G, Russo A, Zamboni V, Barillaro C, Ferrucci L, et al. Comorbidity and physical function: results from the aging and longevity study in the Sirente geographic area (ilSIRENTE study). 96. Nakano M. Versão Brasileira da Short Physical Performance Battery - SPPB: adaptação cultural e estudo de confiabilidade [Dissertação]. Campinas: Universidade Estadual de Campinas: 2007. 97. Guralnik JM, Simonsick EM, Ferrucci L, Glynn RJ, Berkman LF, Blazer DG, et al. A short physical performance battery assessing lower extremity function: association with self-reported disability and prediction of mortality and nursing home admission. 98. Vasunilashorn S, Coppin AK, Patel KV, Lauretani F, Ferrucci L, Bandinelli S, et al. Use of the Short Physical Performance Battery Score to predict loss of ability to walk 400 meters: analysis from the InCHIANTI study. 99. Podsiadlo D, Richardson S. The timed "Up & Go": a test of basic functional mobility for frail elderly persons. 100. van Iersel MB, Munneke M, Esselink RA, Benraad CE, Olde Rikkert MG. Gait velocity and the Timed-Up-and-Go test were sensitive to changes in mobility in frail elderly patients. 101. Vellas BJ, Wayne SJ, Romero L, Baumgartner RN, Rubenstein LZ, Garry PJ. One-leg balance is an important predictor of injurious falls in older persons. 102. Murphy M, Olson S, Protas E, Overby A. Screening for Falls in Community-Dwelling Elderly. 103. Tinetti ME, Speechley M. Prevention of falls among the elderly. 104. Cabrera MA, Wajngarten M, Gebara OC, Diament J. [Relationship between body mass index, waist circumference, and waist-to-hip ratio and mortality in elderly women: a 5-year follow-up study].
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Cidade de São Paulo
Brasil
Pós-Graduação
Programa de Pós-Graduação Mestrado em Fisioterapia
UNICID
publisher.none.fl_str_mv Universidade Cidade de São Paulo
Brasil
Pós-Graduação
Programa de Pós-Graduação Mestrado em Fisioterapia
UNICID
dc.source.none.fl_str_mv reponame:Repositório do Centro Universitário Braz Cubas
instname:Centro Universitário Braz Cubas (CUB)
instacron:CUB
instname_str Centro Universitário Braz Cubas (CUB)
instacron_str CUB
institution CUB
reponame_str Repositório do Centro Universitário Braz Cubas
collection Repositório do Centro Universitário Braz Cubas
repository.name.fl_str_mv Repositório do Centro Universitário Braz Cubas - Centro Universitário Braz Cubas (CUB)
repository.mail.fl_str_mv bibli@brazcubas.edu.br
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