versão impressa ISSN 1413-3555
Rev. bras. fisioter. vol.14 no.4 São Carlos jul./ago. 2010 Epub 03-Set-2010
Silvana L. NogueiraI; Rita C. L. RibeiroI; Lina E. F. P. L. RosadoI; Sylvia C. C. FranceschiniI; Andréia Q. RibeiroI; Eveline T. PereiraII
of Nutrition and Health, Universidade Federal de Viçosa (UFV), Viçosa
IIDepartment of Physical Education, UFV
The fastest-growing age group in Brazil and around the world is the oldest-old
group (aged 80 and over). Among these individuals, the prevalence of disability
and morbidity is higher than in other groups. Objectives: To investigate the
influence of socioeconomic, demographic, biological, health, nutritional, and
social factors, as well as perceived health, on the functional status of the
METHODS: This was a cross-sectional population-based study in which the data were collected by means of questionnaires and anthropometric measurements. The functional status was evaluated according to the model developed by Andreotti and Okuma (1999). Univariate and multivariate analyses were used.
RESULTS: The independent factors associated with worse functional status were: age 85 years and over (OR=2.91), female gender (OR=0.69), continuous use of five or more medications (OR=2.67), no visits to friends and/or relatives at least once a week (OR=11.91), and worse perceived health relative to peers (OR=4.40).
CONCLUSIONS: The results suggest that functional status is associated with a complex web of multidimensional factors. Thus, it is important to develop programs related to the factors that are susceptible to intervention in order to provide a better quality of life to the oldest old.
Key words: functional status; daily activities; older adult; logistical models; aging; older adult health.
The increase in longevity is a global phenomenon, and the fastest growing age group in the world is the oldest-old group, aged 80 and over1. In 1980, this group numbered 591,000 individuals in Brazil, and it is estimated that, by 2050, this number will reach 13.8 million. This represents an increase of 2,226%, while the total population will increase 81.6% and the older adult population 436% in the same period2.
This phenomenon outlines a series of social, cultural and epidemiological implications due to the greater prevalence of morbidity and disability in this age group. Nevertheless, there are few studies on the oldest old to provide knowledge of the health conditions of this segment of the Brazilian population3,4. Among the studies on aging, morbidity is one of the main health indicators analyzed. Few studies have assessed functional status and autonomy, despite the fact that these indicators are often more important than morbidity as they are directly related to quality of life5.
Functional status refers to the individual's ability to live independently and to relate to their environment. Loss of functional status is associated with increased risk of institutionalization and falls6 and, in some studies on the oldest old, it was considered an independent risk factor for mortality7,8. Numerous studies have shown an association between aging and higher risks of functional dependence9-12, as well as a high prevalence of functional disability or limited functional ability in the older adult population13-16. These studies highlight that the added years of life should be accompanied by quality of life and should be free from the high cost of dependence. The decline in functional status may also be associated with a number of multidimensional factors that interact to determine this status in older adults17-19. Early detection of these factors can help prevent functional dependence in this group.
The above arguments demonstrate the importance of research on the determinants of functional status in older adults, considering the possibility of intervention and prevention measures by healthcare professionals (e.g. physical therapists) and through public policy planning. Thus, the present study aimed to determine the factors associated with functional status in the oldest old, taking into account socioeconomic, demographic, health, nutritional, and social dimensions.
This was a cross-sectional population-based study on the oldest old (80 years and over) carried out in São Geraldo, MG, Brazil, between February and May 2008. The town of São Geraldo is among the 20 municipalities of the state of Minas Gerais with the highest percentage of older adults. It also has the highest rate of oldest old in its county. The study was approved by the Human Research Ethics Committee of Universidade Federal de Viçosa (UFV), Viçosa (MG), Brasil (protocol no. 058/2007).
The sample included 129 non-institutionalized oldest-old participants of both genders, which represents 96.3% of the total population of that age group living in the urban area of São Geraldo. The participants were contacted based on records kept by the Family Health Program (FHP), and all of them signed an informed consent form. Screening for dementia was conducted by searching FHP records and by taking reports from the caregivers. Although in some cases the questions were answered by the caregivers, and it is believed that this has not compromised the validity of the results.
Prior to the data collection, a pilot study was carried out to train the interviewers and adjust the assessment tools. The questionnaire with the variables of interest was administered by the interviewers. The main researcher took the anthropometric measurements and administered the questionnaires to evaluate functional status (FS) and social relations. Data collection was carried out at the participant's home, and most of the participants answered the questionnaires alone, but in the presence of a caregiver. In 12.4% of the cases, the answers were supplied by the caregiver because the participant was unable to do so.
Based on the anthropometric measures of weight and height, the body mass index (BMI) was calculated using the formula: weight/height2. For the diagnosis of nutritional status, the cut-off points proposed by Lipschitz20 were used. This author classifies BMI values lower than 22 kg/m2 as underweight, values between 22 kg/m2 and 27 kg/m2 as normal, and values above 27 kg/m2 as overweight. Waist circumference (WC) was measured during the normal expiratory movement at the midpoint between the last rib and the iliac crest, with the individual in the standing position. The cut-off points recommended by the World Health Organization21 were adopted. The WC was not measured in the participants who were unable to stand, and their height was estimated by measuring knee height and using the equation proposed by Nahas22. There was a sample loss of 9.3% for these measures.
Besides the anthropometric measures described, the questionnaire consisted of the following groups of variables:
Socioeconomic and demographic characteristics: gender, age, educational level, marital status, income, history, and time of residence in rural areas23.
Biological and health variables: use of health services and medications, self-rated vision and hearing, occurrence of falls in the three months prior to the study, and self-reported morbidities, grouped according to the International Classification of Diseases (ICD)24. The information on continuous medications was confirmed by checking the labels. Polypharmacy was defined as the simultaneous use of five or more medications25.
Social relations: visiting friends and/or relatives at least once a week, taking part in social programs, being part of a religious group, and attending social events.
Perceived health: self-rated health and health relative to peers.
Statistical analyses were performed using Epi Info 6.04 and STATA 7.0 and consisted of univariate and multivariate data analysis. FS was considered the dependent variable. To evaluate FS, we used a model developed by Andreotti and Okuma26, which includes 40 questions (worth 4 points each) on activities of daily living (ADLs) and instrumental activities of daily living (IADLs). According to the total score, the participants were classified as having very poor, poor, regular, good or very good FS. For data analysis, the participants were grouped into two categories: those with very poor, poor and regular FS (worse functional status) and those with good and very good FS (better functional status).
For the univariate analysis, the Chi-Square test and Fisher's exact test were carried out, and the association measure selected was odds ratio (OR). According to the results of the univariate analysis, the variables associated with the dependent variable with a p value <0.20 were selected for multivariate modeling. The multivariate analysis was performed by means of multiple logistic regressions using a hierarchical selection model.
The construction of models was based on the theoretical model proposed by Victora et al.27, in which the variables were grouped into blocks according to the order of influence on functional status. Thus, the more distal variables served as adjustment factors for the hierarchically inferior blocks and were maintained in the other models, even if their statistical significance was not preserved. As demonstrated in Appendix 1, the socioeconomic and demographic variables were considered distal determinants; the biological, health and social variables were considered intermediate determinants; and the self-reported health variables were considered proximal determinants.
For the interpretation of the regression results, p<0.05 was considered to indicate statistically significant differences and independent association between a particular factor and worse functional status (WFS) after adjustment for possible factors in the same block and in the higher hierarchical blocks. The Wald test comparing the models of the different blocks was carried out to test the statistical significance.
One hundred and twenty-nine older adults were evaluated, and almost 53% were female. The age ranged from 80 to 96 years (median=83 years), with approximately 65% under 85. A considerable percentage of the older adults were widowed (46.5%), most of them earning between one-half and three times the minimum wage. The mean educational level was 2.4 years. The vast majority had resided in rural areas (80%), and more than half lived in the countryside for more than 26 years. Most of the participants had very good or good functional status (71.3%), and nearly one-quarter of them were underweight. Approximately one-third used public health services exclusively, and 41% rated their health as good or excellent.
Table 1 shows the results of univariate analysis between the socioeconomic and demographic variables and FS. Female gender, age group and the absence of a spouse were significantly associated with WFS. As described in Table 2, several factors related to biological and health aspects have also been associated with WFS, such as polypharmacy and certain morbidities such as depression, arthropathies, and nervous system diseases. Regarding the social relations aspects (Table 3), the factor "no visits to friends and/or relatives at least once a week" showed a positive association with WFS as did the factor "not taking part in social programs and not attending social events". There was also a positive association between worse perceived health in relation to peers and worse FS.
Table 4 shows the results of the multiple logistic regressions using a hierarchical selection model. Model 1 shows that the individuals over 85 years of age are three times more likely to have functional dependence than younger individuals. Additionally, the older women are six times more likely to have WFS than older men. After adjusting for socioeconomic and demographic factors (Model 2), we found a positive and independent association between polypharmacy and WFS. WFS was also independently associated with the factor "no visits to friends and/or relatives at least once a week" after the adjustment for socioeconomic, demographic, biological and health factors (Model 3). Worse perceived health relative to peers, after adjustment for the variables of the more distal blocks, was an independent factor associated with WFS (Model 4). The Wald test showed that the inclusion of each block of variables contributed significantly to the model adjustment.
The relevance of the present study is in the fact that there are few studies on the living and health conditions of the oldest old in Brazil. Therefore, it investigated the determinants of FS, one of the most important health indicators in older adults. It is also important to conduct studies outside large urban centers as 71% of Brazilian towns have up to 20,000 residents and account for 18% of the total population28. It is worth noting that, although the present study was conducted with older residents in an urban area, it took place in a provincial town with typically rural characteristics, e.g. less motorized transport, more contact with the rural environment, and country traditions such as meeting friends in the town square.
It was observed that 71% of the oldest old in this study had good or very good FS, reflecting a high degree of independence in this population, particularly as concerns individuals with advanced age. Considering the methodological differences, this result is similar to that observed in studies conducted in developed countries such as Portugal and China. In Portugal, 62% of patients aged 75 and over had better FS29. In China, a longitudinal study on the oldest old identified a prevalence of ability to perform ADLs of 83% among octogenarians and of 63% among nonagenarians30. We found no national surveys that evaluated the prevalence of functional disability specifically in the oldest old. Moreover, the protocols used by other studies were different, besides the cultural issues, which limit the comparison with the present results.
The higher risk of functional dependence with age demonstrated in the present study confirms the results of other national and international studies with respect to aging as an important risk factor for the reduction in FS10,12,17,31,32. The present study also showed a strong association between female gender and FS after adjustment for the control variables. This result is consistent with the findings of other studies on older adults in general11,19,33,34 and on the oldest old35,36. In contrast, this result differs from that observed in studies carried out in Belo Horizonte and São Paulo, although these studies were not specific to the oldest old14,18.
The greater risk of disability among the female older adults can be attributed to a longer survival rate and also to the slight inability shown in adulthood, thus leading to increased risk of developing some degree of functional disability35. In a cohort of older adults, Murtagh and Hubert37 compared the determinants of functional disability in men and women and observed a high prevalence of non-fatal conditions associated with functional disability such as depression, fractures, and osteoporosis, which contribute substantially to greater disability among the older women compared to older men.
The study participants showed, on average, five self-reported morbidities, with 96% reporting at least one disease. However, there was no independent association between morbidities (both grouped and isolated) and FS. Although advanced age is often accompanied by several morbidities, having a diagnosed illness does not necessarily imply the same degree of impairment in health levels and in ADL and IADL performance38. Independence is predictive of successful aging in both men and women39.
With regard to the observed association between polypharmacy and WFS, few studies that observed this issue were identified in the literature, and the present results are consistent with some of them40-43. Pérès et al.43 observed a positive association between the progression of disability and the number of medications (four or more) in a cohort of older adults (65 years and over). High medication intake may constitute a measure of the individual's health status43. Furthermore, it may reflect aspects other than co-morbidities, such as the severity of the co-morbidity or the probability of iatrogenesis and/or the use of inadequate medications44. Hanlon et al.45 found a significant association between inappropriate use of medications and the decline in FS in a cohort of community-dwelling older Americans (65 to 105 years).
Certain medications can be associated with a worse functional performance, such as anticholinergic drugs46. Moreover, polypharmacy and the use of specific medications (such as benzodiazepines) may be associated with increased risk of falls in older adults47,48. This fact highlights the important role of medications in maintaining health and FS in this age group. Therefore, steps must be taken to promote the appropriate prescription of medicine in health care.
Among the observed results, it is important to point out the independent association between social relations and FS. Although it is not possible to determine the direction of this association due to the cross-sectional design of the present study, the results are consistent with the findings of other longitudinal49,50 and cross-sectional14,18,51 studies. Besides improving FS, the social life of older adults seems to positively affect memory capacity. Older adults who are more integrated into the community have slower memory loss than those who have no active social life52. They are also less likely to have depression53.
In a longitudinal study carried out in Denmark, the diversity of social relations and high social participation were important factors in maintaining FS among older adults aged 75 and over. Conversely, the lack of social support was a risk factor for functional decline among men aged 80 and over49. Boult et al.54 also identified social support as a protective factor against functional decline, although another study55 did not find a significant association between social support and FS.
The association observed between worse perceived health in relation to peers and WFS was also found in other studies11,14,17,31. Perceived health is a general subjective measure that includes cognitive, emotional and physical aspects56 that has emerged as an important health indicator. In some studies8,57-59, it was considered a strong indicator of mortality in older adults.
After hierarchical modeling, it was observed that age of 85 years and over, female gender, continuous use of five or more medications, no visits to relatives and/or friends at least once a week, and worse perceived health relative to peers are factors independently associated with worse FS in the oldest old, which shows the existence of a complex web of factors associated with FS in this population. Caution is advised when extrapolating the results to other groups of oldest old due to cultural, socioeconomic and lifestyle differences. It is also important to note that FS was assessed by self-reports as the advanced age of the participants would hinder a direct evaluation, especially considering ethical issues. Further studies are needed in this direction.
Considering the significant increase in the number of the oldest old forecasted in the coming decades in Brazil and the relevance of this topic, it is important to emphasize the preventable nature of some of the factors associated with the FS level in the present study, such as the number of medications and social relations. Actions that promote the rational use of medications and strategies that enhance the social inclusion of older adults may help to reduce the prevalence of functional dependence and improve health and quality of life in the oldest old.
1. Kirkwood TBL. A systematic look at an old problem: as life expectancy increases, a systems-biology approach is needed to ensure that we have a healthy old age. Nature. 2008;451(7): 644-7. [ Links ]
2. Instituto Brasileiro de Geografia e Estatística (IBGE) [homepage na Internet]. Projeção da população do Brasil por sexo e idade - 1980-2050. Revisão 2008. Rio de Janeiro: IBGE - DEPIS [acesso em 2009 Nov 4]. Disponível em: www.ibge.gov.br. [ Links ]
3. Marafon LP, Da Cruz IBM, Sdchwanke CHA, Moriguchi EH. Associação de fatores de risco e de morbidade cardiovascular com mortalidade em idosos longevos. Cad Saúde Pública. 2003;19(3):797-806. [ Links ]
4. Patricio KP, Ribeiro H, Hoshino K, Bocchi SCM. O segredo da longevidade segundo as percepções dos próprios longevos. Ciên Saude Colet. 2008;13(4):1189-98. [ Links ]
5. Chaimowicz F. A saúde dos idosos brasileiros às vésperas do século XXI: problemas, projeções e alternativas. Rev Saúde Publica. 1997;31(2):184-200. [ Links ]
6. Cordeiro RC, Dias RC, Dias JMD, Perracini M, Ramos LR. Concordância entre observadores de um protocolo de avaliação fisioterapêutica em idosas institucionalizadas. Rev Fisioter Univ São Paulo. 2002;9(2):69-77. [ Links ]
7. Nybo H, Petersen HC, Gaist D, Jeune B, Andersen K, Mcgue M, et al. Predictors of mortality in 2,249 nonagenarians-the Danish 1905-cohort survey. J Am Geriatr Soc. 2003;51(10):1365-73. [ Links ]
8. Ben-Ezra M, Shmotkin D. Predictors of mortality in the old-old in Israel: the cross-sectional and longitudinal aging study. J Am Geriatr Soc. 2006;54(6):906-11. [ Links ]
9. Raso V. A adiposidade corporal e a idade prejudicam a capacidade funcional para realizar as atividades da vida diária de mulheres acima de 47 anos. Rev Bras Med Esporte. 2002;8(6): 225-34. [ Links ]
10. Ishizaki T, Kai I, Kobayashi Y, Matsuyama Y, Imanaka Y. The effect of aging on functional decline among older Japanese living in a community: a 5-year longitudinal data analysis. Aging Clin Exp Res. 2004;16(3):233-9. [ Links ]
11. Maciel ACC, Guerra RO. Influência dos fatores biopsicossociais sobre a capacidade funcional de idosos residentes no Nordeste do Brasil. Rev Bras Epidemiol. 2007;10(2):178-89. [ Links ]
12. Murabito JM, Pencina MJ, Zhu L, Kelly-Hayes M, Shrader P, D'agostino RB. Temporal trends in self-reported functional limitations and physical disability among the community-dwelling elderly population: the Framingham hearth study. Am J Public Health. 2008;98(7):1256-62. [ Links ]
13. Ramos LR, Rosa TEC, Oliveira ZM, Medina MCG, Santos FRG. Perfil do idoso em área metropolitana na Região Sudeste do Brasil: resultados de inquérito domiciliar. Rev Saúde Pública. 1993;27(2):87-94. [ Links ]
14. Rosa TEC, Benício MHD, Latorre MRDO, Ramos LR. Fatores determinantes de capacidade funcional entre idosos. Rev Saúde Pública. 2003;37(1):40-8. [ Links ]
15. Parahyba MI, Veras R, Melzer D. Incapacidade funcional entre as mulheres idosas no Brasil. Rev Saúde Pública. 2005;39(3):383-91. [ Links ]
16. Parahyba MI, Simões CCS. A prevalência de incapacidade funcional em idosos no Brasil. Ciên Saúde Colet. 2006;11(4):967-74. [ Links ]
17. Dos Santos KA, Koszuoski R, Dias-Da-Costa JS, Pattussi MP. Fatores associados com a incapacidade funcional em idosos do Município de Guatambu, Santa Catarina, Brasil. Cad Saúde Pública. 2007;23(11):2781-8. [ Links ]
18. Giacomin KC, Peixoto S V, Uchoa E, Lima-Costa MF. Estudo de base populacional dos fatores associados à incapacidade funcional entre idosos na Região Metropolitana de Belo Horizonte, Minas Gerais, Brasil. Cad Saúde Pública. 2008;24(6):1260-70. [ Links ]
19. Fiedler MM, Peres KG. Capacidade funcional e fatores associados em idosos do Sul do Brasil: um estudo de base populacional. Cad Saúde Pública. 2008;24(2):409-15. [ Links ]
20. Lipschitz DA. Screening for nutritional status in the elderly. Prim Care. 1994;21(1):55-67. [ Links ]
21. World Health Organization. Obesity: Preventing and managing the global epidemic. Geneva: WHO. (Technical Report Series, 894); 1998. [ Links ]
22. Nahas MS. Avaliação do estado nutricional de idosos a partir da utilização da medida do comprimento da perna - "Knee Height" - como método preditor da estatura. [dissertação]. São Paulo: Universidade Federal de São Paulo; 1995. [ Links ]
23. Instituto Brasileiro de Geografia e Estatística (IBGE) [homepage na Internet]. Censo Demográfico 2000. Questionário Básico CD 1.02 IBGE. [acesso em 2008 Jan 25]. Disponível em: www.ibge.gov.br. [ Links ]
24. Organização Mundial de Saúde. CID-10 - Classificação Internacional de Doenças: décima revisão. 7ª ed. São Paulo: EdUSP; 1999. [ Links ]
25. Gorard DA. Escalating polypharmacy. QJM. 2006;99(11):797-800. [ Links ]
26. Andreotti RA, Okuma SS. Validação de uma bateria de testes de atividades da vida diária para idosos fisicamente ativos. Rev Paul Educ Fís. 1999;13(1):46-66. [ Links ]
27. Victora CG, Huttly SR, Fuchs SC, Olinto MT. The role of conceptual frameworks in epidemiological analysis: a hierarchical approach. Int J Epidemiol. 1997;26(1):224-7. [ Links ]
29. Sousa L, Galante H, Figueredo D. Qualidade de vida e bem-estar dos idosos: um estudo exploratório na população portuguesa. Rev Saúde Pública. 2003;37(3):364-71. [ Links ]
30. Yi Z, Vaupel J W. Functional capacity and self-evaluation of health and life of oldest old in China. J Soc Issues. 2002;58(4):733-48. [ Links ]
31. Femia EE, Zarit SH, Johansson B. The disablement process in very late life: a study of the oldest-old in Sweden. J Gerontol B Psychol Sci Soc Sci. 2001;56(1):12-23. [ Links ]
32. Barbosa AR, Souza JMP, Lebrão ML, Laurenti R, Marucci MFN. Functional limitations of Brazilian elderly by age and gender differences: data from SABE Survey. Cad Saúde Pública. 2005;21(4):1177-85. [ Links ]
33. Laks J, Batista EMR, Guilherme ERL, Contino ALB, Faria MEV, Rodrigues CS, et al. Prevalence of cognitive and functional impairment in community-dwelling elderly. Arq Neuropsiquiatr. 2005;63(2-A):207-12. [ Links ]
34. Tavares DMS, Pereira GA, Iwamoto HH, Miranzzi SSC, Rodrigues LR, Machado ARM. Incapacidade funcional entre idosos residentes em um município do interior de Minas Gerais. Texto Contexto Enferm. 2007;16(1):32-9. [ Links ]
35. von Strauss E, Aguero-Torres H, Kareholt I, Winblad B, Fratiglioni L. Women are more disabled in basic activities of daily living than men only in very advanced ages: a study on disability, morbidity, and mortality from the Kungsholmen Project. J Clin Epidemiol. 2003;56(7):669-77. [ Links ]
36. Xie J, Matthews FE, Jagger C, Bond J, Brayne C. The oldest old in England and Wales: a descriptive analysis based on the MRC Cognitive Function and Ageing Study. Age Ageing. 2008;37(4):396-402. [ Links ]
37. Murtagh KN, Hubert HB. Gender differences in physical disability among an elderly cohort. Am J Public Health. 2004;94(8):1406-11. [ Links ]
38. Barros MBA. Inquéritos domiciliares de saúde: potencialidades e desafios. Rev Bras Epidemiol. 2008;11(Suppl 1):6-19. [ Links ]
39. Moraes J FD, Souza VBA. Factors associated with the successful aging of the socially-active elderly in the metropolitan region of Porto Alegre. Rev Bras Psiquiatr. 2005;27(4):302-8. [ Links ]
40. Magaziner J, Cadigan D, Fedder D, Bebel J. Medication use and functional decline among community-dwelling older women. J Aging Health. 1989;1:147-56. [ Links ]
41. Cassou B, Derriennic F, Monfort C, Iwatsubo Y, Amphoux M. Predictive factors of physical disability in a cohort of retired persons in Paris followed during 10 years. Rev Epidemiol Sante Publique. 1997;45(5):382-91. [ Links ]
42. Tinetti ME, Inouye SK, Gill TM, Doucette JT. Shared risk factors for falls, incontinence, and functional dependence. Unifying the approach to geriatric syndromes. JAMA. 1995;273(17):1348-53. [ Links ]
43. Pérèz K, Verret C, Alioum A, Barberger-Gateau P. The disablement process: Factors associated with progression of disability and recovery in French elderly people. Disabil Rehabil. 2005;27(5):263-76. [ Links ]
44. Stuck AE, Walthert JM, Nikolaus T, Bula CJ, Hohmann C, Beck JC. Risk factors for functional status decline in community-living elderly people: a systematic literature review. Soc Sci Med. 1999;48(4):445-69. [ Links ]
45. Hanlon JT, Fillenbaum GG, Kuchibhatla M, Artz MB, Boult C, Gross CR, et al. Impact of inappropriate drug use on mortality and functional status in representative community dwelling elders. Med Care. 2002;40(2):166-76. [ Links ]
46. Landi F, Russo A, Liperoti R, Cesari M, Barillaro C, Pahor M, et al. Anticholinergic drugs and physical function among frail elderly population. Clin Pharmacol Ther. 2007;81(2):235-41. [ Links ]
47. Chaimowicz F, Ferreira TJXM, Miguel DFA. Use of psychoactive drugs and related falls among older people living in a community in Brazil. Rev Saúde Pública. 2000;34(6):631-5. [ Links ]
48. Coutinho ESF, Silva SD. Uso de medicamentos como fator de risco para fratura grave decorrente de queda em idosos. Cad Saúde Pública. 2002;18(5):1359-66. [ Links ]
49. Avlund K, Lund R, Holstein BE, Due P. Social relations as determinant of onset of disability in aging. Arch Gerontol Geriatr. 2004;38(1):85-99. [ Links ]
50. Wen M, Cagney KA, Christakis NA. Effect of specific aspects of community social environment on the mortality of individuals diagnosed with serious illness. Soc Sci Med. 2005;61(6): 1119-34. [ Links ]
51. Kawamoto R, Yoshida O, Oka Y. Factors related to functional capacity in community-dwelling elderly. Geriatr Gerontol Int. 2004;4:105-10. [ Links ]
52. Ertel KA, Glymour MM, Berkman LF. Effects of social integration on preserving memory function in a nationally representative US elderly population. Am J Public Health. 2008;98(7): 1215-20. [ Links ]
53. Koizumi Y, Awata S, Kuriyama S, Ohmori K, Hozawa A, Seki T, et al. Association between social support and depression status in the elderly: Results of a 1-year community-based prospective cohort study in Japan. Psychiatry Clin Neurosci. 2005;59(5):563-9. [ Links ]
54. Boult C, Kane RL, Louis TA, Boult L, Mccaffrey D. Chronic conditions that lead to functional limitation in the elderly. J Gerontol Med Sci. 1994;49(1):M28-36. [ Links ]
55. Mendes de Leon CF, Glass TA, Beckett LA, Seeman TE, Evans DA, Berkman LF. Social networks and disability transitions across eight intervals of yearly data in the New Haven EPESE. J Gerontol B Psychol Sci Soc Sci. 1999;54(3):S162-72. [ Links ]
56. Ofstedal MB, Zimmer Z, Cruz G, Chan A, Lin YH. Self-assessed health expectancy among older Asians: a comparison of Sullivan and Multistate Life Table Methods. Ann Arbor: Population Studies Center; Research Reports/Population Studies Center 03-60, 2002. [ Links ]
57. Kaplan GA, Camacho T. Perceived health and mortality: a nine-year follow-up of the human population laboratory cohort. Am J Epidemiol. 1983;117(3):292-304. [ Links ]
58. Idler EL, Benyamini Y. Self-rated health and mortality: a review of twenty-seven community studies. J Health Soc Behav. 1997;38(1):21-37. [ Links ]
59. Marcellini F, Leonardi F, Marcucci A, Freddi A. Health perception of elderly people: the results of a longitudinal study. Arch Gerontol Geriatr Suppl. 2002;8:181-9. [ Links ]
Correspondence to: Received: 05/03/2009
Silvana Lopes Nogueira
Av. José Maria dos Santos, nº 345
Centro, CEP 36.550-000
Coimbra (MG), Brazil