Literature DB >> 30765232

Sociodemographic characteristics and psychosocial wellbeing of elderly with chronic illnesses who live with family at home.

Reni Zulfitri1, Febriana Sabrian2.   

Abstract

OBJECTIVE: This study aimed to explore sociodemographic characteristics and psychosocial wellbeing of elderly with chronic illnesses who live with family at home.
METHODS: This is a descriptive correlational study that was conducted in Pekanbaru. This study involved 85 elders that were recruited using purposive sampling technique. Data were obtained by using questionnaires.
RESULTS: Descriptive analysis using a computer software showed that 96.5% of elderly were Muslim, 48.2% were from Minang tribe, 55.3% were female, 56.5% were married, 78.8% were low-educated, 83.5% were unemployed, and 84.7% had experience of losing a spouse, and showed that 56.5% of elderly have high psychosocial wellbeing state, which reflected psychological health and the ability to interact socially. Of all sociodemographic characteristics of the elders, all indicated higher psychosocial wellbeing state except for single elders or don't have a life partner and unemployed elders. Chi-square test showed no significant relationship between educational level, marital status, employment status, and bereavement experience with psychosocial wellbeing of the elders (p>0.05).
CONCLUSIONS: The majority of the elderly with chronic illnesses who live with family at home were at good psychosocial wellbeing. Measures are needed to improve psychosocial wellbeing of single elders or don't have a life partner and unemployed elders.
Copyright © 2019 Elsevier España, S.L.U. All rights reserved.

Keywords:  Chronic illness; Elderly; Psychosocial wellbeing; Sociodemographic characteristics

Year:  2019        PMID: 30765232     DOI: 10.1016/j.enfcli.2018.11.014

Source DB:  PubMed          Journal:  Enferm Clin        ISSN: 1130-8621


  1 in total

1.  Family Support, Multidimensional Health, and Living Satisfaction among the Elderly: A Case from Shaanxi Province, China.

Authors:  Lijian Wang; Liu Yang; Xiaodong Di; Xiuliang Dai
Journal:  Int J Environ Res Public Health       Date:  2020-11-14       Impact factor: 3.390

  1 in total

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