Why the study?
This study aimed to determine the effect of sociodemographic correlates on quality of life in heart failure patients.
Do sociodemographic correlates affect the quality of life in heart failure patients?
Do sociodemographic correlates affect the quality of life in heart failure patients?
Sociodemographic variables such as age, gender, and income have a weak, non-significant positive correlation with quality of life in heart failure patients.
May warrant considering sociodemographics in HF QoL assessment; leaves open causal effects and intervention targets pending prospective data.
Objective: This study aimed to determine effect of sociodemographic correlates on quality of life (QoL) in heart failure patients. Methods: A cross-sectional study using a newly developed and validated research tool and MLHF research tool, was conducted in heart failure patients. Data was collected by convenience sampling method. Descriptive, comparative, and inferential statistics were used by Statistical Package for the Social Sciences (SPSS) ver. 24 to determine the sociodemographic correlates of QoL in heart failure patients. Results: Out of total 177 studied patients, the majority of the studied heart failure patients were male 103 (58.2%) and the females were 74 (41.8%). The most of the studied heart failure patients were from > 60 years of age group 73 (41.2%). In Spearman’s correlation analysis, statistically non-significant (p >0.05), weak and positive associations were observed. The studied demographic variables like gender, age, marital status, educational level, monthly income, smoking, family history and weight were found to have positive correlation with patients overall QoL Conclusion: The study results concluded a weak but positive correlation between various studied demographic variables and QoL of the heart failure patients.
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Iqbal et al. (2021) studied this question.
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