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BMC Public Health ; 19(Suppl 4): 551, 2019 Jun 13.
Artículo en Inglés | MEDLINE | ID: mdl-31196024

RESUMEN

BACKGROUND: The rapid growth of economy and increasing cost of living in Malaysia have given significant impact especially to the lowest household income population. The main objective of this study was to determine risk factors for low quality of life (QOL) and poor health status of this population. METHODS: This was a cross sectional study design. A total of 347 respondents from low household income groups, including persons with disability and Orang Asli were recruited from E-kasih. A semi-guided self-administered questionnaire was used. QOL measured by EQ. 5D utility value and health status measured by visual analogue score (VAS). Descriptive statistic, bivariate Chi-square analysis and binary logistic regression were conducted to determine factors influencing low QOL and poor health status. RESULTS: Majority of the respondents were Malay, female (61%), 63% were married, 60% were employed and 46% with total household income of less than 1 thousand Ringgit Malaysia. 70% of them were not having any chronic medical problems. Factors that associated with low QOL were male, single, low household income, and present chronic medical illness, while poor health status associated with female, lower education level and present chronic medical illness. Logistic regression analysis has showed that determinants of low QOL was present chronic illness [AOR 4.15 95%CI (2.42, 7.13)], while determinants for poor health status were; female [AOR 1.94 95%CI (1.09,3.44)], lower education [AOR 3.07 95%CI (1.28,7.34)] and present chronic illness [AOR 2.53 95%CI (1.39,4.61)]. CONCLUSION: Low socioeconomic population defined as low total household income in this study. Low QOL of this population determined by present chronic illness, while poor health status determined by gender, education level and chronic medical illness.


Asunto(s)
Enfermedad Crónica/epidemiología , Estado de Salud , Pobreza/psicología , Calidad de Vida , Factores Socioeconómicos , Adulto , Anciano , Distribución de Chi-Cuadrado , Enfermedad Crónica/psicología , Estudios Transversales , Empleo/estadística & datos numéricos , Femenino , Humanos , Modelos Logísticos , Malasia/epidemiología , Masculino , Persona de Mediana Edad , Factores de Riesgo , Población Rural/estadística & datos numéricos , Encuestas y Cuestionarios
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