A prediction model for establishing the disability degree in adults with spinal cord injury: results based on WHO-DAS II perspective

Objective: To establish a prediction model of the degree of disability in adults with Spinal CordInjury (SCI ) based on the use of the WHO-DAS II . Methods: The disability degree was correlatedwith three variable groups: clinical, sociodemographic and those related with rehabilitation services.A model of multiple linear regression was built to predict disability. 45 people with sci exhibitingdiverse etiology, neurological level and completeness participated. Patients were older than 18 andthey had more than a six-month post-injury. The WHO-DAS II and the ASIA impairment scale(AIS ) were used. Results: Variables that evidenced a significant relationship with disability were thefollowing: occupational situation, type of affiliation to the public health care system, injury evolutiontime, neurological level, partial preservation zone, ais motor and sensory scores and number ofclinical complications during the last year. Complications significantly associated to disability werejoint pain, urinary infections, intestinal problems and autonomic disreflexia. None of the variablesrelated to rehabilitation services showed significant association with disability. The disability degreeexhibited significant differences in favor of the groups that received the following services: assistivedevices supply and vocational, job or educational counseling. Conclusions: The best predictiondisability model in adults with sci with more than six months post-injury was built with variablesof injury evolution time, AIS sensory score and injury-related unemployment.

"Tell me who you hang out with": Classroom peer effects on psychoactive substances consumption

I look for classroom peer effects for psychoactive substance consumption among Colombian high school students and attempt to identify channels that rationalize for these effects. To do so, I use data for Colombian schools from 2011. I identify peer effects using household consumption behavior to instrument average classroom consumption. I find that an increase of 10% in the proportion of classroom users of alcohol, cannabis, and cocaine increases the probability of students to use alcohol, cannabis, and cocaine in 3.14%, 4.29%, and 2.38% respectively. I find no significant effect on cigarette smoking for the full sample but after exploring heterogeneous effects I find suggestive evidence that the effect is positive in some grades. I find some evidence that indicate that peer effects on alcohol, cannabis, and cocaine consumption operate through risk perception and easiness of access to psychoactive substances, meaning that the increase of likelihood of consumption could be explained because it is easier to access to drugs for students that interact with consumers or because a decrease in the risk students perceive of consuming these substances. Finally, through the use of a SUR and a 3SLS estimator I find strong correlations between smoking cigarettes and consuming cannabis (55 %), and cocaine (60 %).