Using machine learning to identify features associated with different types of self-injurious behaviors in autistic youth

被引:0
|
作者
Antezana, Ligia [1 ]
Conner, Caitlin M. [1 ]
Eldeeb, Safaa [1 ]
Turecki, Samuel [2 ]
Siegel, Matthew [3 ,4 ]
Karim, Helmet T. [1 ,5 ]
Mazefsky, Carla A. [1 ]
机构
[1] Univ Pittsburgh, Dept Psychiat, Sch Med, Pittsburgh, PA 15260 USA
[2] Cincinnati Childrens Hosp Med Ctr, Div Child & Adolescent Psychiat, Cincinnati, OH USA
[3] Tufts Univ, Dept Psychiat, Sch Med, Medford, MA USA
[4] Tufts Univ, Dept Pediat, Sch Med, Medford, MA USA
[5] Univ Pittsburgh, Dept Bioengn, Pittsburgh, PA USA
关键词
autism; emotion dysregulation; medical problems; psychiatric symptoms; self-injurious behavior; repetitive behavior; machine learning; elastic net regression; ADHD; adaptive behavior; headaches; sleep; pica; inpatient; autism inpatient collection; SPECTRUM DISORDER; RISK-FACTORS; PSYCHOMETRIC CHARACTERISTICS; INTELLECTUAL DISABILITIES; REPETITIVE BEHAVIOR; YOUNG-CHILDREN; INDIVIDUALS; ADULTS; ADOLESCENTS; PREDICTORS;
D O I
10.1017/S0033291725000637
中图分类号
B849 [应用心理学];
学科分类号
040203 ;
摘要
Background Self-injurious behaviors (SIB) are common in autistic people. SIB is mainly studied as a broad category, rather than by specific SIB types. We aimed to determine associations of distinct SIB types with common psychiatric, emotional, medical, and socio-demographic factors. Methods Participants included 323 autistic youth (similar to 50% non-/minimally-speaking) with high-confidence autism diagnoses ages 4-21 years. Data were collected by the Autism Inpatient Collection during admission to a specialized psychiatric inpatient unit (www.sfari.org/resource/autism-inpatient-collection/). Caregivers completed questionnaires about their child, including SIB type and severity. The youth completed assessments with clinicians. Elastic net regressions identified associations between SIB types and factors. Results No single factor relates to all SIB types. SIB types have unique sets of associations. Consistent with previous work, more repetitive motor movements and lower adaptive skills are associated with most types of SIB; female sex is associated with hair/skin pulling and self-rubbing/scratching. More attention-deficit/hyperactivity disorder symptoms are associated with self-rubbing/scratching, skin picking, hair/skin pulling, and inserts finger/object. Inserts finger/object has the most medical condition associations. Self-hitting against surface/object has the most emotion dysregulation associations. Conclusions Specific SIB types have unique sets of associations. Future work can develop clinical likelihood scores for specific SIB types in inpatient settings, which can be tested with large community samples. Current approaches for SIB focus on the behavior functions, but there is an opportunity to further develop interventions by considering the specific SIB type in assessment and treatment. Identifying factors associated with specific SIB types may aid with screening, prevention, and treatment of these often-impairing behaviors.
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页数:13
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