Contributo para o estudo dos procedimentos de medição do ponto próximo de convergência e do ponto de astenopia em indivíduos com e sem síndroma de deficiência postural
DOI:
https://doi.org/10.25758/set.642Keywords:
Postural deficiency syndrome, Near point of convergence, Tonic convergence, Binocular, Point of asthenopia, Convergence insufficiencyAbstract
Introduction – Postural deficiency syndrome is a multifactorial proprioceptive dysfunction with varied signs and symptoms, including convergence insufficiency and asthenopia which impact visual performance. The near point of convergence measurement is used to diagnose and clinically explore convergence insufficiency, test speed, and stimulus size influencing values obtained. The definition of the most effective method to measure the near point of convergence and the point of asthenopia will allow early detection of alterations. This study aims to investigate the accuracy of measurements and variations in values obtained using different methods for the near convergence point and the point of asthenopia measurements in cases of postural deficiency syndrome. Methods – The sample contained 39 patients, 27 with and 12 without postural deficiency syndrome, measuring the near point of convergence and point of asthenopia with two stimuli (standard RAF near point rule and modified RAF near point rule) at two speeds (1cm and 3cm/s). Results – Neither method of measuring the near point of convergence had statistically significant values. The RAF near point rule at a slow speed is more sensitive for alterations in the point of asthenopia (AUC 0.761±0.084 standard error, p=0.010). The slow speed generated higher values for near point of convergence and point of asthenopia point measurements, especially in the postural deficiency syndrome group. Conclusion – The methods used to measure the parameters studied influenced the final values. No statistically significant values were obtained in the measurement of the near convergence point. To measure the point of asthenopia, the method using visual cues at a slow speed has the highest accuracy.
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