ABSTRACT
ABSTRACT BACKGROUND: With the increase in the older adult population, it is essential to identify the living and health conditions that can impact the quality of life of these individuals. OBJECTIVES: To identify the domains and factors associated with the quality of life of older adults under the Family Health Strategy program. DESIGN AND SETTING: This was a cross-sectional analytical study was conducted in the municipality of Palmas, Tocantins, Brazil. METHODS: We assessed 449 older adults enrolled in the Family Health Strategy program. Data were collected between April and July, 2018. World Health Organization Quality of Life Assessment (WHOQOL-OLD) was used to assess the quality of life (QoL) and multiple linear regression was used to estimate the factors associated with QoL. RESULTS: The QoL domain with the highest score was death and dying (mean = 70.4), and the lowest score was for sensory functions (mean = 61.0 points). The factors associated with QoL were single marital status (β = -4.55; P = 0.014), level of independence for daily living activities (β = 4.92; P < 0.001), self-assessment of regular health (β = 5.35; P < 0.001), and poor health (β = -8.67; P < 0.001). CONCLUSION: The death and dying domain of QoL presented the highest score. Marital status, impairment in daily activities, and health self-assessment were associated with QoL.
ABSTRACT
BACKGROUND: With the increase in the older adult population, it is essential to identify the living and health conditions that can impact the quality of life of these individuals. OBJECTIVES: To identify the domains and factors associated with the quality of life of older adults under the Family Health Strategy program. DESIGN AND SETTING: This was a cross-sectional analytical study was conducted in the municipality of Palmas, Tocantins, Brazil. METHODS: We assessed 449 older adults enrolled in the Family Health Strategy program. Data were collected between April and July, 2018. World Health Organization Quality of Life Assessment (WHOQOL-OLD) was used to assess the quality of life (QoL) and multiple linear regression was used to estimate the factors associated with QoL. RESULTS: The QoL domain with the highest score was death and dying (mean = 70.4), and the lowest score was for sensory functions (mean = 61.0 points). The factors associated with QoL were single marital status (ß = -4.55; P = 0.014), level of independence for daily living activities (ß = 4.92; P < 0.001), self-assessment of regular health (ß = 5.35; P < 0.001), and poor health (ß = -8.67; P < 0.001). CONCLUSION: The death and dying domain of QoL presented the highest score. Marital status, impairment in daily activities, and health self-assessment were associated with QoL.
