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- Rafael Suarez-Villar, Diego Martinez-Urbistondo, Maria Agud Fernandez, Maria Lopez-Cano, Eva Fernandez, Andrea Dominguez, Laura Prosper, Ana Rodriguez-Cobo, Maria Elena Caro Tinoco, Paula Nadal, Risco Carlos Risco CR Internal Medicine Department. HM Sanchinarro. HM Hospitales., Paula Villares Fernández, and Jose Alfredo Martínez.
- Internal Medicine Department. HM Sanchinarro. HM Hospitales.
- Medicine (Baltimore). 2020 Nov 25; 99 (48): e22552.
AbstractQuality of life (QoL) is a matter of concern in both healthy and diseased individuals. Lifestyle factors such as physical activity and sleep have a direct impact on QoL. In this context, interactions between activity time expenditure and QoL might be different in comorbid and non comorbid patients. Besides, the quantification and evaluation of time expenditure is ordinarily measured as the absolute time devoted to each activity. The objective of this study is the evaluation of the influence and interactions of activity-relative time expenditure and co-morbidity in Physical QoL.The study involved 302 consecutive patients, from an Internal Medicine ambulatory evaluation. Validated questionnaires were used to collect demographic variables and time expenditure variables. QoL was gathered with de survey short form-36questionnaire. Comorbidity was compiled with de Charlson Comorbidity Index. SPSS v20.0 was used for statistical analysis.As hypothesized, healthy subjects had higher Physical QoL score than comorbid subjects (P < .05). Physical activity and sleep relative time expenditure were statistically significant and associated to a better QoL in comorbid patients (P < .05). Interestingly, sleep was found to have statistically significant interaction with a score of ≥2 in the Charlson Comorbidity Index. Age, gender, comorbidity, physical activity relative time expenditure, and the interaction between relative time dedicated to sleep and comorbidity were found statistically significant in a multivariate model on Physical QoL prediction.Activity-relative time expenditure could be an adequate measure of daily activity pattern in the evaluation of QoL. Relative time spent in physical activity and sleep might be positively associated to Physical QoL. Sleep and comorbidity could have a statistically significant interaction in the prediction of Physical QoL.
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