El objetivo del trabajo fue describir el nivel de riesgo a la salud mental en función de las condiciones socioeconómicas y las relacionadas con la pandemia por COVID19. Se trabajó con 15,335 personas mexicanas, (M= 26 años, DE=11.95), 52% solteras (8,001), 60% mujeres (9,175), 44% en cuarentena (6,769). Se utilizó un estudio correlacional causal exposfacto utilizando la WebApp para la detección de riesgos a la Salud Mental COVID19 (Alfa de Cronbach de 0.96; varianza explicada del 62%) programado con Linux®, PHP®, HTML®, CSS®, y JavaScript®; constituido por: 1) condición por COVID-19, 2) condición socioeconómica, 3) salud mental, y 4) uso de drogas y violencia. Las variables latentes se derivan de 104 iteraciones con 102 parámetros (t[496] = 387077.84, p=.000), un CFI = 0.932, un TLI = 0.920, un RMSEA = 0.064 (0.063 – 0.064) y un SRMR = 0.047. Los resultados indicaron que la evitación predijo estrés agudo, este la ansiedad de salud; ésta la ansiedad generalizada/tristeza, somatización; y ésta el distanciamiento/enojo en las personas. Ser mujer, estar desempleada (o), tener menos de 29 o más de 65 años, permanecer en cuarentena, tener síntomas COVID19, y reportar comorbilidad física o depresión, se asociaron con los riesgos a la salud mental.
The stability of delay discounting across time has been well-established. However, limited research has examined the stability of probability discounting, and no studies of the stability of effort discounting are available. The present study assessed the steady-state characteristics of delay, probability, and effort discounting tasks across time with hypothetical rewards in humans, as well as whether response characteristics suggested a common discounting equation. Participants completed delay, probability, and effort discounting tasks on three occasions. We found moderate relative stability of delay and probability tasks, and similar evidence for absolute stability across time for all tasks. The interclass correlations coefficient showed some correspondence across time points and tasks, and higher levels of between subject variability, especially for the effort discounting task, suggesting trait level variables has a stronger influence on performance than state level variables. Performance on the delay and probability tasks were moderately correlated and similar mathematical functions fit choice patterns on both tasks (hyperbolic), suggesting that delay and probability discounting processes shared some common elements. Lower correlations and different function fits suggested that effort discounting involves more unique features.
Hallazgos mixtos en descuento temporal son la diferencia o similitud del grado de descuento entre recompensas hipotéticas y reales. Una forma de exponer al parti-
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