An addendum to Prediction, Control, and the Regulating Mind
Written for clinicians. This is about mechanism and case formulation. There's no description of methods here and nothing that'd work as instruction. If you're reading this about your own situation rather than a caseload, please talk to somebody you trust or a licensed professional – I'd rather you did that than finish the article.
Part 5 described stimming as a way to buy predictability back by generating a signal the person controls in a sensory world they don't. Barca and colleagues make a related proposal for non-suicidal self-injury, except the signal comes from inside the body.
Affect regulation has empirical support. The predictive account tries to explain why the body becomes the instrument, but that part is still thin – thin enough that it matters, because ideas like this get repeated a lot faster than they get tested.
Why does the exact wording matter here? Because the version in circulation is stronger than the source, and a family will hear the strong one. Nock's review draws the line on intent and treats it as a classification convention, not a demonstrated clinical separation (Nock, 2010).
It doesn't compare the two on medical lethality. That contrast gets attributed to this paper regularly and it isn't in it, which is worth knowing before you say it to a family.
The prevalence numbers in that same review are worth carrying into a parent conference. Lifetime self-injury runs somewhere between 13% and 45% of community adolescents and around 4% of adults, and rises to 40–60% in clinical adolescent samples. Onset clusters at 12 to 14.
Nock compares it to the disorders we all trained on. Even the low-end estimates put self-injury above the lifetime prevalence of anorexia and bulimia nervosa (under 2%), panic disorder (under 2%), obsessive-compulsive disorder (under 3%) and borderline personality disorder (2%). Most of us were trained more thoroughly on every one of those.
Klonsky's paper is a narrative review, not a meta-analysis, so there are no pooled effect sizes to quote (Klonsky, 2007). Four different lines of evidence converge on affect regulation, which is usually more useful in a formulation than one tidy number.
The other six functions in Klonsky's review were anti-dissociation, anti-suicide, interpersonal boundaries, interpersonal-influence, self-punishment and sensation-seeking. Self-punishment drew strong support. The other five drew modest support, and the pattern held across clinical, non-clinical and forensic samples.
Nock and Prinstein built the model most of us were taught from 108 adolescent psychiatric inpatients, with the factor analysis running on the 89 who reported an incident that year (Nock & Prinstein, 2004). Two crossed dimensions, four functions: automatic-negative (stopping bad feelings), automatic-positive (feeling something at all), social-negative (escaping a demand), social-positive (communicating distress).
Automatic-negative scored significantly higher than everything else… 52.9% endorsed "to stop bad feelings." Automatic items got endorsed by 24% to 53% of the sample, social items by 6% to 24%. The authors call it PRELIMINARY until replicated with a larger clinical sample, and I'd keep saying that out loud, because a four-box model is very easy to teach and very easy to over-trust.
Chapman, Gratz and Brown put the same finding in learning-theory terms with their Experiential Avoidance Model – the behavior is maintained mostly by negative reinforcement, escape from or avoidance of unwanted emotional experience (Chapman et al., 2006). Theoretical paper, no new data.
"By harming the body, we turn it into a very precise source of sensations that relieves us from excessive uncertainty about the present state and the future course of action" (Barca et al., 2023).
Affect regulation tells you what the behavior BUYS. The predictive account asks why the body becomes the instrument, and the authors are explicit that it complements the affect-regulation literature rather than replacing it.
It's a perspective paper with one illustrative simulation. No participants and no empirical sample. The authors flag it twice on their own initiative, calling the proposal still speculative and saying the hypothesis remains to be investigated.
Their word is "precise," not "controllable." Those are different claims and the difference matters – a precise signal is one you can read, not one you command – so keep their word when you use this.
That comparison deserves suspicion. One model explaining two very different behaviors may have found a shared process. It may also be too broad to fail, and Part 7 is about telling those two situations apart.
What would separate them here? Move uncertainty about internal state without moving distress. The predictive account says urge should shift, an affect-regulation account says it shouldn't. I haven't found a direct test. Until somebody runs one, it's a hypothesis with no direct participant data under it, and I'd say that out loud every time I used it.
It also doesn't license telling a client their self-injury is "information seeking." That's a mechanism running underneath anything the person recognizes about their own experience, and delivered as an explanation it lands as being dismissed.
Where does it actually help? In formulation. What is this person uncertain about, how noisy are their reports of their own internal state, and what else could make those reports legible to them? Those are answerable, and they point at interoceptive and emotion-labeling work rather than at argument.
Use the affect-regulation finding in your formulation. Carry the predictive account as a question because the paper provides no direct participant data. On your next case, write down what the person is uncertain about before you write down what they're feeling, and see whether the two lists differ.
Barca, L., Maisto, D., & Pezzulo, G. (2023). Modeling and controlling the body in maladaptive ways: An active inference perspective on non-suicidal self-injury behaviors. Neuroscience of Consciousness, 2023(1), niad025. https://doi.org/10.1093/nc/niad025
Chapman, A. L., Gratz, K. L., & Brown, M. Z. (2006). Solving the puzzle of deliberate self-harm: The experiential avoidance model. Behaviour Research and Therapy, 44(3), 371–394. https://doi.org/10.1016/j.brat.2005.03.005
Klonsky, E. D. (2007). The functions of deliberate self-injury: A review of the evidence. Clinical Psychology Review, 27(2), 226–239. https://doi.org/10.1016/j.cpr.2006.08.002
Nock, M. K. (2010). Self-injury. Annual Review of Clinical Psychology, 6, 339–363. https://doi.org/10.1146/annurev.clinpsy.121208.131258
Nock, M. K., & Prinstein, M. J. (2004). A functional approach to the assessment of self-mutilative behavior. Journal of Consulting and Clinical Psychology, 72(5), 885–890. https://doi.org/10.1037/0022-006X.72.5.885
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