What symptoms predict the diagnosis of mania in persons with severe/profound intellectual disability in clinical practice?
Psychomotor agitation plus lost sleep equals the clearest signal of mania in clients with severe ID.
01Research in Context
What this study did
The team asked which behaviors point to mania in adults with severe or profound intellectual disability. They looked at clinical records and ran a logistic model. The goal was to give clinicians a short list of red-flag behaviors.
What they found
Two behaviors stood out: psychomotor agitation and sleep disturbance. If both were present, the odds of a mania diagnosis jumped. Other behaviors, like fast talking or grand ideas, rarely showed up in this group.
How this fits with other research
Sturmey et al. (2010) later echoed the same pair of signs using the DASH-II mania subscale. Both studies found agitation and sleep refusal as top clues, even with different tools.
Shabani et al. (2006) extended the picture. They showed that manic symptoms in ID also predict feeding battles at mealtime. Sleep loss and agitation remain core, but now you know to watch the lunch table too.
Staddon et al. (2002) and Webb et al. (1999) link any sleep problem to daytime challenging behavior. Their work looks broader, not just mania. Taken together, poor sleep is a shared warning across psychiatric and behavioral crises.
Why it matters
You can spot possible mania without waiting for a psychiatrist. Track nights awake and rate daytime restlessness on your usual data sheet. When both climb together, refer for psychiatric evaluation and adjust reinforcement schedules to reduce overstimulation. Early ID means faster medication review and fewer crisis behaviors.
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02At a glance
03Original abstract
BACKGROUND: While researchers have attempted to address the difficulties of diagnosing affective disorders in the intellectually disabled population, diagnosing bipolar disorder in an individual with severe intellectual disability (ID) remains a challenge. The aim of this study was to identify what symptoms can predict a diagnosis of mania in the intellectually disabled population. METHODS: Three groups of persons with ID participated in this study: (1) individuals with a bipolar diagnosis who were currently manic; (2) individuals with an Axis I diagnosis other than bipolar disorder; and (3) individuals without an Axis I diagnosis. Two recognized measures of mania (i.e. Diagnostic Assessment for the Severely Handicapped-Revised and Parent Version of Young Mania Rating Scale) were used to evaluate symptoms of mania. A logistical regression procedure was conducted on mania items to identify which items correctly identify persons with ID who were currently manic. RESULTS: Psychomotor agitation, decreased sleep, changes in mood and aggression were significantly related to the diagnosis of mania. Further, psychomotor agitation and disturbed sleep were significant predictors of a diagnosis of mania. CONCLUSIONS: Problems of sleep and psychomotor agitation should alert clinicians that further assessment of bipolar symptomatology is warranted. Focusing on observable behaviours based on Diagnostic and Statistical Manual of Mental Disorder-IV criteria can be useful in formulating a diagnosis of bipolar disorder in persons with ID.
Journal of intellectual disability research : JIDR, 2007 · doi:10.1111/j.1365-2788.2006.00897.x