ABSTRACT
OBJECTIVE: To evaluate the predictive value of the quality of life (QOL) questionnaire at 8 years and analyse which of its 5 dimensions better predict adverse results in health. DESIGN: Descriptive, longitudinal, and retrospective study. SETTING: Three basic health areas in Cuenca province, Spain. PARTICIPANTS: We randomly selected 519 subjects over 64 years, taking addresses in which more than 1 person over 64 years resided as a sample marker. MAIN MEASUREMENTS: The QOL questionnaire was used to evaluate the quality of life of the subjects in 1994 and in 2002. Main results. Between 1994 and 2002, 25% of the participants died, 2.6% were institutionalised and there 3.6% losses. The QOL questionnaire has a mortality predictive capacity at 8 years, the cut off point of its global index being situated around 13 points. The sensitivity of the model is poor (41.5%), with a high specificity (93.5%) and a good classification percentage of 80.3%. The positive and negative probability ratios were 6.36 and 0.62, respectively. Using a Cox regression model, it is seen that of the 5 dimensions of the QOL test, activities of daily living show a relationship with mortality (risk ratio or OR=1.3; 95% confiance interval [CI], 1.049-1.611), mental health (OR=1.048; 95% CI, 1.054-1.620), and economic resources (OR=0.806; 95% CI, 0.648-1.003). CONCLUSIONS: The QOL questionnaire has a mortality predictive capacity at 8 years.
Subject(s)
Activities of Daily Living , Aged , Mortality , Quality of Life , Surveys and Questionnaires , Aged, 80 and over , Confidence Intervals , Economics , Female , Forecasting , Humans , Longitudinal Studies , Male , Mental Health , Odds Ratio , Probability , Proportional Hazards Models , Retrospective Studies , Sensitivity and Specificity , Spain , Time FactorsABSTRACT
Objetivo. Evaluar la validez predictiva del cuestionario calidad de vida en ancianos (CVA) a 8 años y analizar cuál o cuáles de sus 5 dimensiones predicen mejor los resultados adversos en salud. Diseño. Estudio descriptivo, longitudinal y retrospectivo. Emplazamiento. Tres zonas básicas de salud de la provincia de Cuenca. Participantes. Se incluyeron 519 individuos mayores de 64 años seleccionados aleatoriamente tomando como marco muestral los domicilios en los que residía al menos una persona mayor de 64 años. Mediciones principales. Se utilizó el cuestionario CVA para evaluar la calidad de vida de los individuos en 1994 y en 2002. Resultados principales. Entre 1994 y 2002, falleció el 25% de los participantes, fue ingresado en instituciones un 2,6% y se produjo un 3,6% de pérdidas. El cuestionario CVA tiene capacidad predictiva de mortalidad a 8 años, y el punto de corte de su índice global se sitúa en torno a los 13 puntos. La sensibilidad del modelo es pobre (41,5%), con una especificidad alta (93,5%) y un porcentaje de buenas clasificaciones del 80,3%. Las razones de probabilidad positiva y negativa fueron 6,36 y 0,62, respectivamente. Mediante un modelo de regresión de Cox se aprecia que de las 5 dimensiones del test CVA tienen relación con la mortalidad las actividades de la vida diaria (razón de riesgos o HR = 1,3; intervalo de confianza [IC] del 95%, 1,049-1,611), la salud mental (HR = 1,048; IC del 95%, 1,054-1,620) y los recursos económicos (HR = 0,806; IC del 95%, 0,648-1,003). Conclusiones. El cuestionario CVA posee capacidad para predecir la mortalidad a 8 años
Objective. To evaluate the predictive value of the quality of life (QOL) questionnaire at 8 years and analyse which of its 5 dimensions better predict adverse results in health. Design. Descriptive, longitudinal, and retrospective study. Setting. Three basic health areas in Cuenca province, Spain. Participants. We randomly selected 519 subjects over 64 years, taking addresses in which more than 1 person over 64 years resided as a sample marker. Main measurements. The QOL questionnaire was used to evaluate the quality of life of the subjects in 1994 and in 2002. Main results. Between 1994 and 2002, 25% of the participants died, 2.6% were institutionalised and there 3.6% losses. The QOL questionnaire has a mortality predictive capacity at 8 years, the cut off point of its global index being situated around 13 points. The sensitivity of the model is poor (41.5%), with a high specificity (93.5%) and a good classification percentage of 80.3%. The positive and negative probability ratios were 6.36 and 0.62, respectively. Using a Cox regression model, it is seen that of the 5 dimensions of the QOL test, activities of daily living show a relationship with mortality (risk ratio or OR=1.3; 95% confiance interval [CI], 1.049-1.611), mental health (OR=1.048; 95% CI, 1.054-1.620), and economic resources (OR=0.806; 95% CI, 0.648-1.003). Conclusions. The QOL questionnaire has a mortality predictive capacity at 8 years
Subject(s)
Humans , Male , Female , Aged , Predictive Value of Tests , Surveys and Questionnaires/classification , Surveys and Questionnaires , Quality of Life , Sensitivity and Specificity , Survival Analysis , Mental Health/statistics & numerical data , Primary Health Care/methods , Indicators of Morbidity and Mortality , Indicators of Quality of Life , Retrospective Studies , Longitudinal Studies , Confidence Intervals , Logistic Models , Primary Health Care/statistics & numerical data , Primary Health Care , Demographic IndicatorsABSTRACT
OBJECTIVE: To evaluate changes in quality of life (QoL) in a sample of elderly community-dwelling individuals. Overall QoL was evaluated, in addition to the dimensions of physical health (PH), mental health (MH), activities of daily living (ADL), economic resources (ER) and social resources (SR). MATERIALS AND METHODS: Of a sample of 918 persons aged more than 64 years old in the Province of Cuenca (Spain), QoL was measured in 519 in 1994 by means of the Quality of Life for the Elderly (QLE) questionnaire, developed from the OARS-MFAQ Older Americans Resources and Services Multidimensional Functional Assesment Questionaire. In 2002, with a 3.6% loss, the QLE was administered again in all participants that were still alive and non-institutionalized. The results were compared for the two periods and the factors associated with variation in QoL were estimated by means of multiple regression analysis. RESULTS: Of the 519 participants at baseline, 130 died (25%) and 14 (12.7%) were institutionalised. Elderly individuals who were still alive in 2002 showed a general worsening in their overall QoL, specifically in the variables of ADL, PH and MH. However, after adjusting for age, we found that overall QoL was better in 2002 than in 1994. Logistic regression revealed that the factors associated with a lesser decrease in QoL were education, being male, lower age, and being widowed. CONCLUSIONS: QoL in community-dwelling elderly individuals in the Province of Cuenca improved between 1994 and 2002.
