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Psychol Med ; 40(10): 1711-21, 2010 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-20056022

RESUMO

BACKGROUND: It is not known whether social support modifies the association between depression and impairment or disability in older people from developing countries in Asia. METHOD: We used a Thai version of the EURO-D scale to measure depression in 1104 Thai rural community-dwelling parents aged 60 years. These were all those providing data on depression who were recruited as part of a study of older adults with at least one living child (biological, stepchild or adopted child). Logistic regression modelling was used to determine: (a) whether impairment, disability and social support deficits were associated with depression; (b) whether social support modified this association. RESULTS: There were strong graded relationships between impairment, disability, social support deficits and EURO-D caseness. Level of impairment, but not disability, interacted with poor social support in that depression was especially likely in those who had more physical impairments as well as one or more social support deficits (p value for interaction=0.018), even after full adjustment. CONCLUSIONS: Social support is important in reducing the association between physical impairment and depression in Thai older adults, especially for those with a large number of impairments. Enhancing social support as well as improving healthcare and disability facilities should be emphasized in interventions to prevent depression in older adults.


Assuntos
Transtorno Depressivo/epidemiologia , Pessoas com Deficiência/psicologia , Pais/psicologia , Apoio Social , Atividades Cotidianas , Fatores Etários , Idoso , Idoso de 80 Anos ou mais , Distribuição de Qui-Quadrado , Transtorno Depressivo/etiologia , Transtorno Depressivo/psicologia , Avaliação da Deficiência , Pessoas com Deficiência/estatística & dados numéricos , Humanos , Modelos Logísticos , Pessoa de Meia-Idade , Razão de Chances , Escalas de Graduação Psiquiátrica , População Rural/estatística & dados numéricos , Fatores Socioeconômicos , Tailândia/epidemiologia
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