Literature DB >> 26911553

Types of social supports predicting health-related quality of life among adult patients with CHD in the Institut Jantung Negara (National Heart Institute), Malaysia.

Sue K Tye1, Geetha Kandavello1, Kah L Gan1.   

Abstract

OBJECTIVES: The objectives of this study were to examine which types of social supports - emotional/informational support, tangible support, affectionate support, and positive interactions - are the predictors of health-related quality of life (HRQoL) in adult patients with CHD and to assess the influence of demographic variables and clinical factors on these variables.
METHODS: In total, 205 adult patients with CHD from the National Heart Institute, Malaysia, were recruited. Patients were first screened by cardiology consultants to ensure they fit the inclusion criteria before filling in questionnaires, which were medical outcome studies - social support survey and AQoL-8D. Results/conclusions All social supports and their subscales were found to have mild-to-moderate significant relationships with physical dimension, psychological dimension, and overall HRQoL; however, only positive interaction, marital status, and types of diagnosis were reported as predictors of HRQoL. Surprisingly, with regard to the physical dimension of quality of life, social supports were not significant predictors, but educational level, marital status, and types of diagnosis were significant predictors. Positive interaction, affectionate support, marital status, and types of diagnosis were again found to be predictors in the aspects of the psychological dimension of quality of life. In conclusion, positive interaction and affectionate support, which include elements of fun, relaxation, love, and care, should be included in the care of adult patients with CHD.

Entities:  

Keywords:  Adult CHD; health-related quality of life; social support

Mesh:

Year:  2016        PMID: 26911553     DOI: 10.1017/S1047951116000068

Source DB:  PubMed          Journal:  Cardiol Young        ISSN: 1047-9511            Impact factor:   1.093


  3 in total

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