Validity and reliability of the SF-36 in Chilean older adults: the ALEXANDROS study.
To validate short-form-36 health survey (SF-36) with specific scoring algorithm obtained in a large sample of Chilean older people and to associate quality of life in this sample with social and health related factors. A cross-sectional study on 2,143 community-living subjects aged 60-92 years (33 %...
| Publicado en: | European Journal of Ageing Vol. 10; no. 2; pp. 127 - 135 |
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| Autores principales: | , , , |
| Formato: | Artículo |
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Springer Nature
Jun2013
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=87336209&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 87336209 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 16139372 3RAL jtl: European Journal of Ageing issn: 16139372 maglogo: N pubinfo: dt: Jun2013 vid: 10 iid: 2 pid: 237 pub: Springer Nature artinfo: ui: 87336209 10.1007/s10433-012-0256-2 ppf: 127 ppct: 8 formats: fmt: @attributes: type: P size: 226KB tig: atl: Validity and reliability of the SF-36 in Chilean older adults: the ALEXANDROS study. aug: au: Lera, Lydia Fuentes-García, Alejandra Sánchez, Hugo Albala, Cecilia affil: Institute of Nutrition and Food Technology (INTA), University of Chile, Santiago Chile su: Chile Anthropometry Epidemiology Health behavior Life expectancy Quality of life Activities of daily living Cross-sectional method Algorithms Chi-squared test Confidence intervals Statistical correlation Factor analysis Health surveys Questionnaires Research funding Scale analysis (Psychology) Statistics U-statistics Logistic regression analysis Data analysis Research methodology evaluation Data analysis software sug: subj: Anthropometry Epidemiology Health behavior Life expectancy Quality of life Activities of daily living Cross-sectional method Chile Algorithms Chi-squared test Confidence intervals Statistical correlation Factor analysis Health surveys Questionnaires Research funding Scale analysis (Psychology) Statistics U-statistics Logistic regression analysis Data analysis Research methodology evaluation Data analysis software keyword: Health-related quality of life Older people SF-36 health survey Health-related quality of life Older people SF-36 health survey ab: To validate short-form-36 health survey (SF-36) with specific scoring algorithm obtained in a large sample of Chilean older people and to associate quality of life in this sample with social and health related factors. A cross-sectional study on 2,143 community-living subjects aged 60-92 years (33 % men and 67 % women) conducted in Santiago, Chile. Scores in 8 scales of SF-36-physical function (PF), role physical (RP), bodily pain (BP), general health (GH), vitality (VT), social functioning (SF), role emotional (RE) and mental health (MH)-, were calculated. Factor analysis was used to extract two principal factors and logistic regression model was applied to estimate its association with socio-demographic and health variables. The internal consistency of scales was high (Cronbach's alpha 0.86-0.87). Factor analysis retained two factors: mental (MCS) and physical (PCS) components accounting for 65.3 % of total variance (55.3 and 10.0 % respectively). High correlations (0.61-0.94) between MCS and MH, V, RE and SF were obtained. PCS correlated highest (0.72-0.86) with RP, PF and BP. Self-perceived symptoms of depression (GDS-15 ≥5) was the main variable explaining low scores in both MCS and PCS (adjusted OR = 26.9; 95 % CI: 15.3-47.2; OR = 3.4; 95 % CI: 2.1-5.5, respectively). We have demonstrated the reliability and validity of SF-36 questionnaire to evaluate health related quality of life, reporting Chilean-Specific factor score coefficients for MCS and PCS based in national Chilean means and standard deviations for older people. After adjusting by age and gender, the main predictors of low health related QoL in Chilean older people were self-perceived symptoms of depression, the presence of two or more chronic diseases and illiteracy. Important gender inequalities were observed in all of these results, being consistently less favorable in women than in men. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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