La autoestima y la imagen corporal juegan un papel muy importante en la actual epidemia de sobrepeso. El objetivo es asociar la autoestima con la autopercepción de la imagen corporal en universitarios. Para ello, se realizó un estudio transversal en el 2014 en estudiantes de la Universidad Autónoma de San Luis Potosí. Se realizaron 1002 encuestas, de las cuales el 52.86% eran mujeres, con una edad promedio de 21 años (17 años-45 años). El 79.9% de los estudiantes presentaron autoestima alta, el 11.6% media y el 8.5% baja. El 27.1% de los participantes se percibió en desnutrición, el 32.96% en un peso adecuado y el 39.96% en sobrepeso u obesidad. Se encontró una correlación negativa entre la autoestima y la percepción corporal (p = 0.008), es decir, entre mayor autoestima, en menor peso se percibían. El tener una autoestima alta es un factor protector para una percepción en obesidad (p = 0.042). La autoestima y la percepción corporal están asociadas.

Objective: The examination of pupillary light reflexes is widely employed to evaluate the autonomic system’s balance, ocular, and neurological conditions, typically evaluated by qualitative observation. To describe and evaluate the inter-rater reliability and agreement of pupillometric values obtained with a novel semi-automatic mobile pupillography app. Methods: Two examiners and two graders perform the measurements with an android app which corrects the device-face distance, measure the maximum contraction of the pupil, and calculates its slope, in a hospital room setting with three levels of environmental light intensity: <100, 101 to 200, and 201 to 300 lux, at 200, 400, 600, 900, 1200, and 1500 milliseconds. Results: Sixty healthy individuals, aged 18 to 45, were included; 85% had brown eyes. The reliability of the pupil/iris ratio had Ri = 70% to 88%, and bland Altman graphics show a uniform agreement. The pupillography curves show a similar slope at different light intensities, during the contraction phase. Conclusion: There were very good repeatability and inter-rater reproducibility of the measurements at average levels of illumination in examination rooms, even in dark-eyed people. This app provides a highly promising approach to pupillary measurements in clinical practice.