Abreu da Silva e D’Elboux; 20121515 Abreu da Silva V, D’Elboux MJ. Factors associated with urinary incontinence in elderly individuals who meet frailty criteria. Texto Contexto Enferm. 2012;21(2). http://dx.doi.org/10.1590/S0104-07072012000200011.
http://dx.doi.org/10.1590/S0104-07072012...
|
100 older adults attended a Geriatrics Outpatient Clinic |
Sex: |
Cross-sectional |
To analyze the factors associated with urinary incontinence among elderly people who meet frailty criteria (pre-frail and frail) |
Campinas (SP) |
Frail: 59% |
Not explored |
| Female: 74% |
Pre-frail: 41% |
| Male: 26% |
|
| Age: 41% with 80 years or more |
|
| Schooling: 49% with less than 4 years of study |
|
Alvarado et al.1616 Alvarado BE, Zunzunegui MV, Béland F, Bamvita JM. Life course social and health conditions linked to frailty in Latin American older men and women. J Gerontol A Biol Sci Med Sci. 2008;63(12):1399-406. http://dx.doi.org/10.1093/gerona/63.12.1399. PMid:19126855.
http://dx.doi.org/10.1093/gerona/63.12.1...
|
2143 community older adults |
Sex: |
Cross-sectional |
To check if health and social conditions are associated with frailty; |
São Paulo (SP) |
Frail: 40.6% |
Low level of physical activity: |
| Female: 58.9% |
To verify if the differential exposure and/or vulnerability of women and men to life-course conditions may explain gender differences in frailty |
Pre-frail: 48.8% |
Women: 78.7% |
| Male: 41.1% |
|
Non-frail: 10.6% |
Men: 75.1% |
| Age: not explored |
|
|
Muscle weakness: |
| Schooling: 29.3% illiterate women and 21.1% illiterate men |
|
|
Women: 51.9% |
|
|
|
Men: 51.0% |
|
|
|
Reduced walking speed: |
|
|
|
Women: 48.2% |
|
|
|
Men: 35.9% |
Andrade et al.1717 Andrade JM, Duarte YADO, Alves LC, Andrade FCD, Souza PRBD Jr, Lima-Costa MF, et al. Frailty profile in Brazilian older adults: ELSI-Brazil. Rev Saude Publica. 2018;52(52 Suppl 2):17s. http://dx.doi.org/10.11606/s1518-8787.2018052000616. PMid:30379282.
http://dx.doi.org/10.11606/s1518-8787.20...
|
8556 indivíduos com 50 anos ou mais residentes em comunidades de cinco regiões brasileiras |
Sex: |
Cross-sectional |
To estimate the prevalence of frailty and to evaluate the associated factors in the non-institutionalized Brazilian population aged 50 years or older |
Seventy cities in the five Brazilian regions |
Frail: 9% (group aged 50 or over); 13.5% (group aged 60 or over) and 16.2% (group aged 65 or over) |
Weight loss: 7.4% Reduced walking speed: 20.5% Muscle weakness: 22.6% |
| Female: 53.4% |
Fatigue: 28.6% |
| Male: 46.6% |
Low level of physical activity: 19.8% |
| Age: 62.7 (95%CI 61.9–63.5) |
|
| Schooling: 31.8% with up to three years of study |
|
Closs et al.1818 Closs VE, Ziegelmann PK, Flores JHF, Gomes I, Schwanke CHA. Anthropometric Measures and Frailty Prediction in the Elderly: An Easy-to-Use Tool. Curr Gerontol Geriatr Res. 2017;2017:8703503. http://dx.doi.org/10.1155/2017/8703503. PMid:29358947.
http://dx.doi.org/10.1155/2017/8703503...
|
439 older adults registered in a Family Health Unit |
Sex: |
Cross-sectional |
To verify the discriminatory performance of anthropometric measures in identifying frailty in the elderly and to create an easy-to-use tool |
Porto Alegre (RS) |
Frail + pre-frail: 70.8% |
Not explored |
| Female: 63.8% |
Non-frail: 29.2% |
| Male: 36.2% |
|
| Age: 68.7 (±7.2) |
|
| Schooling: 41.7% with up to 4 years of study |
|
Silva et al.1414 Silva SLA, Vieira RA, Arantes P, Dias RC. Assessment of frailty, functionality and fear of falling in elderly assisted at an outpatient gerontologic and geriatric clinic. Fisioter Pesqui. 2009;16(2):120-5. http://dx.doi.org/10.1590/S1809-29502009000200005.
http://dx.doi.org/10.1590/S1809-29502009...
|
30 older adults registered at a geriatric outpatient clinic |
Sex: |
Cross-sectional |
To determine the frequency of frailty and to search for correlations between frailty and falls, fear of falling, and functionality |
Juiz de Fora (MG) |
Frail: 20% |
Not explored |
| Female: 66.7% |
Pre-frail: 46.6% |
| Male: 33.3% |
Non-frail: 33.4% |
| Age: 75.7 (±7.6) |
|
| Schooling: 40% with more than 4 years of study |
|
Silva et al.1919 Silva SLA, Neri AL, Ferrioli E, Lourenço RA, Dias RC. Phenotype of frailty: the influence of each item in determining frailty in community-dwelling elderly: the Fibra Study. Cien Saude Colet. 2016;21(11):3483-92. http://dx.doi.org/10.1590/1413-812320152111.23292015.
http://dx.doi.org/10.1590/1413-812320152...
|
5532 community older adults |
Gender |
Cross-sectional |
To evaluate the contribution of each item to determine the frailty syndrome among elderly Brazilians |
Barueri (SP), Belém (PA), Belo Horizonte (MG), Campinas (SP), Cuiabá (MT), Ermelindo Matarazzo (SP), Fortaleza (CE), Ivotí (RS), Juiz de Fora (MG), Parnaíba (PI), Poços de Caldas (MG), Recife (PE), Ribeirão Preto (SP) and Santa Cruz (RN) |
Frail: 11.2% |
Muscle weakness: 20.6% |
| Female: 65.6% |
Pre-frail: 51% |
Reduced walking speed: 20.9% |
| Male: 34.4% |
Non-frail: 37.8% |
Low level of physical activity: 27.5% |
| Age: 73.1 (±6.2) |
|
|
| Education: not explored |
|
|
Câmara et al.2020 Câmara SMA, Alvarado BE, Guralnik JM, Guerra RO, Maciel ÁCC. Using the Short Physical Performance Battery to screen for frailty in young ‐old adults with distinct socioeconomic conditions. Geriatr Gerontol Int. 2013;13(2):421-8. http://dx.doi.org/10.1111/j.1447-0594.2012.00920.x. PMid:22882512.
http://dx.doi.org/10.1111/j.1447-0594.20...
|
64 community older adults |
Sex: |
Cross-sectional |
To analyze the Short Physical Performance Battery’s (SPPB) ability in screening for frailty in community-dwelling young elderly from cities with distinct socioeconomic conditions |
Santa Cruz (RN) |
Frail: 28.1% |
Muscle weakness: 48.4% |
| Female: 50% |
Pre-frail: 54.7% |
Fatigue: 37.5% |
| Male: 50% |
Non-frail: 17.2% |
Reduced walking speed: 65.6% |
| Age: 69.53 (±2.95) |
|
|
| Schooling: 40.6% illiterate |
|
|
Amorim et al.2121 Amorim JSC, Silva SLA, Viana JU, Trelha CS. Factors associated with the prevalence of sarcopenia and frailty syndrome in elderly university workers. Arch Gerontol Geriatr. 2019;82:172-8. http://dx.doi.org/10.1016/j.archger.2019.02.002. PMid:30807901.
http://dx.doi.org/10.1016/j.archger.2019...
|
258 elderly workers from a public university |
Sex: |
Cross-sectional |
To estimate the prevalence of sarcopenia and frailty, and their individual and occupational factors among elderly individuals |
North Paraná |
Frail: 9.4% |
Not explored |
| Female: 42.2% |
Pre-frail: 62.5% |
| Male:57.8% |
Non-frail: 28.1% |
| Age: 62.9 (±2.47) |
|
| Schooling: 58.5% higher education and post-graduation |
|
Andrade et al.2222 Andrade FB, Lebrao ML, Santos JLF, Oliveira Duarte YA. Relationship Between Oral Health and Frailty in Community ‐Dwelling Elderly Individuals in Brazil. J Am Geriatr Soc. 2013;61(5):809-14. http://dx.doi.org/10.1111/jgs.12221. PMid:23647172.
http://dx.doi.org/10.1111/jgs.12221...
|
1374 community older adults |
Sex: |
Cross-sectional |
To test the hypothesis that clinical oral health conditions are associated with frailty independent of socioeconomic and general health status |
São Paulo (SP) |
Frail: 8.5% |
Not explored |
| Female: 59.7% |
Pre-frail: 40.7% |
| Male: 40.3% |
Non-frail: 50.8% |
| Age: 58.4% with 60 to 69 years. |
|
| Schooling: 41.8% with) less than 4 years of study |
|
Morais et al.2323 Morais D, Terassi M, Inouye K, Luchesi BM, Pavarini SCI. Chronic pain in elderly caregivers at different levels of frailty. Rev Gaúcha Enferm. 2017;37(4):e60700. http://dx.doi.org/10.1590/1983-1447.2016.04.60700. PMid:28198946.
http://dx.doi.org/10.1590/1983-1447.2016...
|
187 elderly caregivers registered in a Family Health Unit |
Sex: |
Cross-sectional |
To determine whether there are differences in the intensity of chronic pain of elderly caregivers who are frail, pre-frail and non-frail |
São Carlos (SP) |
Frail: 24.1% |
Not explored |
| Female: 80.7% |
Pre-frail: 55.1% |
| Male: 19.3% |
Non-frail: 20.9% |
| Age: 68.95 (±7.07) |
|
| Schooling: 4.13 years (±3.62) |
|
| Santos Amaral et al.2424 Santos Amaral FLJ, Oliveira Guerra R, Freire Falcão Nascimento A, Campos Cavalcanti Maciel À. Social support and the frailty syndrome among elderly residents in the community. Cien Saude Colet. 2013;18(6):1. |
300 community older adults |
Sex: |
Cross-sectional |
To analyze the association between social support and frailty syndrome among elderly residents in the community |
Natal (RN) |
Frail: 18.3% |
Weight loss: 30.7% |
| Female: 67.3% Male: 32.7% |
Pre-frail: 54.3% |
Fatigue: 38.7% |
| Age: 74.3 (± 6.9) |
Non-frail: 25.7% |
Low level of physical activity: 26.7% |
| Schooling: 4.7 years (± 3.8) |
|
|
Santos Tavares et al.2525 Santos Tavares DM, Nader ID, Paiva MM, Dias FA, Pegorari MS. Association of socioeconomic and clinical variables with the state of frailty among older inpatients. Rev Lat Am Enfermagem. 2015;23(6):1121-9. http://dx.doi.org/10.1590/0104-1169.0660.2657.
http://dx.doi.org/10.1590/0104-1169.0660...
|
255 hospitalized older adults |
Sex: |
Cross-sectional |
To identify the prevalence of frailty among hospitalized elderly people in a Clinic Hospital and to verify the association between socioeconomic and clinical characteristics with the state of frailty |
Uberaba (MG). |
Frail: 26.3% |
Not explored |
| Female: 38.8% |
Pre-frail: 53.3% |
| Male: 61.2% |
Non-frail: 23.4% |
| Age: 68.7 (±6.6) |
|
| Schooling: 56.3% with between 1-4 years of study |
|
Santos Tavares et al.2626 Santos Tavares DM, Freitas Corrêa TA, Dias FA, Santos Ferreira PC, Pegorari MS. Frailty syndrome and socioeconomic and health characteristics among older adults. Colomb Med (Cali). 2017;48(3):126-31. http://dx.doi.org/10.25100/cm.v48i3.1978. PMid:29213155.
http://dx.doi.org/10.25100/cm.v48i3.1978...
|
1609 community older adults |
Sex: |
Cross-sectional |
To investigate the association between the frailty syndrome and socioeconomic and health variables |
Uberaba (MG) |
Frail: 13.6% |
Not explored |
| Female: 64.4% |
Pre-frail: 51.9% |
| Male: 35.6% |
Non-frail: 34.4% |
| Age: 44% with between 70 and 79 years old |
|
| Schooling: 52% with 1 to 4 years of study |
|
| Assis Faria2727 Assis Faria C, Lourenco RA, Ribeiro PCC, Lopes CS. Cognitive performance and frailty in older adults clients of a private health care plan. Rev Saude Publica. 2013;47(5):923-30. PMid:24626497. |
847 older adults clients of a private health care plan |
Sex: |
Cross-sectional |
To investigate the association between frailty syndrome and |
Rio de Janeiro (RJ) |
Frail: 9.2% |
Not explored |
| Female: 66.9% Male: 33.1% |
cognitive performance in older adults and the effect of schooling and age on this association |
Pre-frail: 46.5% |
| Age: 76.7 |
|
Non-frail: 44.3% |
| Schooling: |
|
|
| 31.8% with 9 to 12 years of study |
|
|
Ferreira et al.2828 Ferreira LMBM, Jerez-Roig J, Andrade FLJP, Oliveira NPD, Araújo JRT, Lima KC. Prevalence of falls and evaluation of mobility among institutionalized elderly persons. Rev Bras Geriatr Gerontol. 2016;19(6):995-1003. http://dx.doi.org/10.1590/1981-22562016019.160034.
http://dx.doi.org/10.1590/1981-225620160...
|
63 institutionalized older adults |
Sex: |
Cross-sectional |
To estimate the prevalence of falls in elderly residents in 10 long-stay institutions registered in the Health Surveillance, as well as to establish associations between elderly mobility and falls |
Natal (RN) |
Frail + pre-frail: 85.71% |
Not explored |
| Female: 79.4% |
Non-frail: 14.28% |
| Male: 20.6% |
|
| Age: median of 79 years |
|
| Schooling: 55.5% illiterate |
|
Gross et al.2929 Gross CB, Kolankiewicz ACB, Schmidt CR, Berlezi EM. Níveis de fragilidade de idosos e sua associação com as características sociodemográficas. Acta Paul Enferm. 2018;31(2):209-16. http://dx.doi.org/10.1590/1982-0194201800030.
http://dx.doi.org/10.1590/1982-019420180...
|
555 older adults registered in Family Health Units |
Sex: |
Cross-sectional |
Verify the association between frailty in the elderly and sociodemographic characteristics |
Northwest of the State of Rio Grande do Sul |
Frail: 17.7% |
Fatigue: 31.89% |
| Female: 60.9% |
Pre-frail: 45.4% |
The prevalence of the other components ranged from 14.9% (weight loss) to 18% (muscle weakness) |
| Male:39.1% |
Non-frail: 36.9% |
|
| Age: 71.1(±8.3) |
|
|
| Schooling: 65% have not completed elementary school |
|
|
Reis et al.3030 Reis WM Jr, Carneiro JAO, Silva Coqueiro R, Santos KT, Fernandes MH. Pre-frailty and frailty of elderly residents in a municipality with a low Human Development Index. Rev Lat Am Enfermagem. 2014;22(4):654-61. http://dx.doi.org/10.1590/0104-1169.3538.2464.
http://dx.doi.org/10.1590/0104-1169.3538...
|
236 community older adults |
Sex: |
Cross-sectional |
To identify the prevalence and factors associated with the pre-frailty and frailty of the elderly living in a community with a low Human Development Index (HDI) |
Lafaiete Coutinho (BA) |
Frail: 23.8% |
Not explored |
| Female: 58.9% |
Pre-frail: 57.8% |
| Male: 41.1% |
Non-frail: 18.4% |
| Age: 69.5% with 60-79 years |
|
| Schooling: 68.2% could not read and write a message |
|
Liberalesso et al.3131 Liberalesso MTE, Dallazen F, Bandeira VAC, Berlezi EM. Prevalence of frailty in a long-lived population in the Southern region of Brazil. Saúde Debate. 2017;41(113):30. http://dx.doi.org/10.1590/0103-1104201711316.
http://dx.doi.org/10.1590/0103-110420171...
|
69 octogenarians, nonagenarians and centenarians community older adults |
Sex: |
Cross-sectional |
To investigate the prevalence of frailty in a long-lived population |
Erval Seco (RS) |
Frail: 58% |
Reduced walking speed: 100% |
| Female: 62.3% |
Pre-frail: 42% |
Weight loss: 66.7% |
| Male: 37.7% |
|
Fatigue: 65.2% |
| Age: 85.0 (±5.6) |
|
Low level of physical activity: 23.2% |
| Schooling: 73.9% with more than 8 years of study |
|
Muscle weakness: 4.3% |
Mello et al.3232 Mello ADC, Carvalho MS, Alves LC, Gomes VP, Engstrom EM. Food consumption and anthropometry related to the frailty syndrome in low-income community-living elderly in a large city. Cad Saude Publica. 2017;33(8):e00188815. http://dx.doi.org/10.1590/0102-311x00188815. PMid:28832786.
http://dx.doi.org/10.1590/0102-311x00188...
|
137 community older adults |
Sex: |
Cross-sectional |
To describe anthropometric and feeding data related to frailty syndrome in the elderly |
Manguinhos (RJ) |
Frail: 12.4% |
Muscle weakness: 23.4% |
| Female: 67.9% |
Pre-frail: 61.3% |
Fatigue: 33.6% |
| Male: 32.1% |
Non-frail: 26.3% |
Weight loss: 21.2% |
| Age: 70.2 (±7.4) |
|
|
| Schooling: 58.4% with 1 to 7 years |
|
|
Moreira e Lourenço3333 Moreira VG, Lourenço RA. Prevalence and factors associated with frailty in an older population from the city of Rio de Janeiro, Brazil: the FIBRA-RJ Study. Clinics (São Paulo). 2013;68(7):979-85. http://dx.doi.org/10.6061/clinics/2013(07)15. PMid:23917663.
http://dx.doi.org/10.6061/clinics/2013(0...
|
754 community older adults |
Sex: |
Cross-sectional |
To determine the prevalence of frailty and its association with social and demographic factors, functional capacity, cognitive status and self-reported comorbidities |
Rio de Janeiro (RJ) |
Frail: 9.1% |
Weight loss: 30.2% |
| Female: 66.9% |
Pre-frail: 47.3% |
Muscle weakness: 24.1% |
| Male: 33.1% |
Non-frail: 43.6% |
|
| Age: 76.6 (±6.9) |
|
|
| Schooling: 10.02 years (±5) |
|
|
Nóbrega et al.3434 Nóbrega PVDN, Maciel ÁCC, De Almeida Holanda CM, Oliveira Guerra R, Araújo JF. Sleep and frailty syndrome in elderly residents of long ‐stay institutions: a cross ‐sectional study. Geriatr Gerontol Int. 2014;14(3):605-12. http://dx.doi.org/10.1111/ggi.12144. PMid:24020502.
http://dx.doi.org/10.1111/ggi.12144...
|
69 institutionalized older adults |
Sex: |
Cross-sectional |
To evaluate the relationship between sleep and frailty syndrome in residents of long-stay institutions |
João Pessoa (PB) |
Frail: 49.3% |
Not explored |
| Female: 62.3% |
Pre-frail: 45% |
| Male: 37.7% |
Non-frail: 5.7% |
| Age: 77.5 (±7.8) |
|
| Schooling: |
|
| 4.6 years (±4.3) |
|
Pegorari et al.3535 Pegorari MS, Ruas G, Patrizzi LJ. Relationship between frailty and respiratory function in the community-dwelling elderly. Braz J Phys Ther. 2013;17(1):9-16. http://dx.doi.org/10.1590/S1413-35552012005000065. PMid:23538454.
http://dx.doi.org/10.1590/S1413-35552012...
|
51 older adults registered in the Family Health Unit |
Sex: |
Cross-sectional |
To evaluate the impact of frailty on respiratory function in a community-dwelling elderly. |
Uberaba (MG) |
Frail: 9.8% |
Weigh loss: 31.4% |
| Female: 43.3% |
Pre-frail: 47.1% |
Reduced walking speed: 23.5% |
| Male: 56.7% |
Non-frail: 43.1% |
Low level of physical activity: 19.6% |
| Age: 73 (±6) |
|
|
| Schooling: |
|
|
| 74.5% primary level |
|
|
| Ramos Oliveira et al.3636 Ramos Oliveira D, Bettinelli LA, Pasqualotti A, Corso D, Brock F, Erdmann AL. Prevalence of frailty syndrome in old people in a hospital institution. Rev Latino-Am Enferm. 2013;21(4):1. |
99 institutionalized older adults |
Sex: |
Cross-sectional |
To measure the prevalence of the frailty syndrome in the elderly in a hospital, regarding socio-demographic, clinical and anthropometric variables |
São Vicente (SP) |
Frail: 46.5% |
Frail: |
| Female: 50.5% |
Pre-frail: 49.5% |
Low level of physical activity: 77.8% |
| Male: 45.5% |
Non-frail: 4% |
Reduced walking speed: 77.5% |
| Age: 74.5 (±6.8) |
|
Pre-frail: |
| Schooling: 5.2 years (±4.5) |
|
Muscle weakness: 44.3% |
|
|
Fatigue: 34.5% |
Santos et al.3737 Santos PHS, Fernandes MH, Casotti CA, Silva Coqueiro R, Carneiro JAO. The profile of fragility and associated factors among the elderly registered in a Family Health Unit. Cien Saude Colet. 2015;20(6):1917-24. http://dx.doi.org/10.1590/1413-81232015206.17232014. PMid:26060970.
http://dx.doi.org/10.1590/1413-812320152...
|
139 older adults registered in the Family Health Unit |
Gender: |
Cross-sectional |
To identify the profile of fragility and associated factors among the elderly registered in a Family Health Unit |
Jequié (BA) |
Frail: 16.9% |
Not explored |
| Female: 75.5% |
Pre-frail: 61.8% |
| Male: 24.5% |
Non-frail: 21.3% |
| Age: 72,32 (±8.4) |
|
| Schooling: 73.1% illiterate or did not finish high school |
|
Santos-Orlandi et al.3838 Santos-Orlandi AA, Brito TRP, Ottaviani AC, Rossetti ES, Zazzetta MS, Pavarini SCI. Elderly who take care of elderly: a study on the Frailty Syndrome. Rev Bras Enferm. 2017;70(4):822-9. http://dx.doi.org/10.1590/0034-7167-2016-0474. PMid:28793114.
http://dx.doi.org/10.1590/0034-7167-2016...
|
40 elderly caregivers of other elderly and registered in a Family Health Unit |
Sex: |
Cross-sectional |
To identify the prevalence of frailty in elderly caregivers inserted in a context of high social vulnerability and its correlation with sociodemographic and health aspects |
São Carlos (SP) |
Frail: 10.0% |
Not explored |
| Female: 67.5% |
Pre-frail: 50.0% |
| Male: 32.5% |
Non-frail: 40.0% |
| Age: 70.1 (±8.2) |
|
| Schooling: 40% with 1-4 years of with 1-4 years of study |
|
| Tribess e Oliveira3939 Tribess S, Oliveira RJ. Physical activity as a predictor of absence of frailty in the elderly. Rev Assoc Med Bras. 2012;58(3):341-7. PMid:22735227. |
622 community older adults |
Sex: |
Cross-sectional |
To analyze the predictive power and identify the cutoffs of physical activity, in its different domains, for the absence of frailty in the elderly of both gender |
Uberaba (MG) |
Frail: 19.9% |
Not explored |
| Female: 65% |
Non-frail: 80.1% |
| Male: 35% |
|
| Age: 71.1 (±7.8) |
|
| Schooling: 40.3% had up to 2 years of study |
|
Viana et al.4040 Viana JU, Silva SL, Torres JL, Dias J, Pereira LS, Dias RC. Influence of sarcopenia and functionality indicators on the frailty profile of community-dwelling elderly subjects: a cross-sectional study. Braz J Phys Ther. 2013;17(4):373-81. http://dx.doi.org/10.1590/S1413-35552013005000102. PMid:23970115.
http://dx.doi.org/10.1590/S1413-35552013...
|
53 older adults users of a health service |
Sex: |
Cross-sectional |
To evaluate whether the indirect indicators of sarcopenia and functionality influence the frailty profile in elderly subjects |
Belo Horizonte (MG) |
Frail: 15.1% |
Low level of physical activity: 41.5% |
| Female: 75% |
Pre-frail: 54.7% |
Reduced walking speed: 39.6% |
| Male: 25% |
Non-frail: 30.2% |
|
| Age: 76.72 (±5.89) |
|
|
| Schooling: not explored |
|
|
Virtuoso et al.4141 Virtuoso JS Jr, Martins CA, Roza LB, de Paulo TRS, Ribeiro MCL, Tribess S. Prevalence of disability and associated factors in the elderly. Texto Contexto Enferm. 2015;24(2):521-9. http://dx.doi.org/10.1590/0104-07072015001652014.
http://dx.doi.org/10.1590/0104-070720150...
|
624 community older adults |
Sex: |
Cross-sectional |
To estimate the prevalence and factors associated with functional disability in the elderly people |
Uberaba (MG) |
Frail: 37.1% |
Not explored |
| Female: 65.1% |
Pre-frail: 16.8% |
| Male: 34.9% |
Non-frail: 6.4% |
| Age: 71 (±7.77) |
|
| Schooling: |
|
| 40,3% had a maximum of two years of study |
|
Zazzetta et al.4242 Zazzetta MS, Gomes GAO, Orlandi FS, Gratão AC, Vasilceac FA, Gramani-Say K, et al. Identifying frailty levels and associated factors in a population living in the context of poverty and social vulnerability. J Frailty Aging. 2017;6(1):29-32. http://dx.doi.org/10.14283/jfa.2016.116. PMid:28244555.
http://dx.doi.org/10.14283/jfa.2016.116...
|
304 community older adults |
Sex: |
Cross-sectional |
To investigate a vulnerable population living in the context of poverty in a Brazilian municipality, in order to identify the factors associated with the frailty syndrome in the elderly |
São Carlos (SP) |
Frail: 27.3% |
Not explored |
| Female: 56.9% |
Pre-frail: 60.5% |
| Male: 43.1% |
Non-frail: 12.2%. |
| Age: 70.1 (±7.6) |
|
| Schooling: 2.5 years (±2.6) |
|
Zeballos et al.4343 Zeballos D, Lins L, Brites C. Frailty and Its Association with Health Related Quality of Life in Older HIV Patients, in Salvador, Brazil. AIDS Res Hum Retroviruses. 2019;35(11-12):1074-81. http://dx.doi.org/10.1089/aid.2019.0103. PMid:31373215.
http://dx.doi.org/10.1089/aid.2019.0103...
|
201 individuals living with HIV, aged 50 years or |
Sex: |
Cross-sectional |
To determine the prevalence and factors associated with frailty and to define the impact of frailty on quality of life |
Salvador (BA) |
Frail: 19.4% |
Most common |
| older at University |
Female: 63.7% |
Pre-frail: 49.3% |
low physical activity: 38.8% |
| Hospital Professor Edgard Santos (HUPES) |
Male: 36.3% |
Non-frail: 31.3% |
Fatigue: 34.8% and Muscle weakness: 32.3% |
|
Age: 55.0 (range 50 to 83 years) |
|
|
|
Schooling:51.7% with higher education |
|
|
Zukeran et al.4444 Zukeran MS, Ritti-Dias RM, Franco FGM, Cendoroglo MS, Matos LDN, Ribeiro SL. Nutritional Risk by Mini Nutritional Assessment (MNA), but not anthropometric measurements, has a good discriminatory power for identifying frailty in elderly people: data from brazilian secondary care clinic. J Nutr Health Aging. 2019;23(2):217-20. http://dx.doi.org/10.1007/s12603-018-1128-z. PMid:30697634.
http://dx.doi.org/10.1007/s12603-018-112...
|
254 older adults from a geriatric secondary care outpatient clinic |
Sex: |
Cross-sectional |
To investigate, in elderly individuals registered at a secondary outpatient clinic, the prevalence of frailty and pre-frailty and to identify the discriminatory power of anthropometric measurements and nutritional risk in identifying these conditions |
Southeast of São Paulo |
Frail: 31.1% |
Not explored |
| Female: 70% |
Pre-frail: 53.5% |
| Male: 30% |
Non-frail: 15.4% |
| Age: Non-frail: 73.6 (±5.7); Pre-frail: 75.3 (±7.2); Frail: 78.9 (±7.6) |
|
| Schooling: Not explored |
|
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