BACKGROUND: Individuals with intellectual disabilities (ID) are at increased risk for depression and anxiety disorders; however, there is a paucity of research that pertains to associative factors for these mental health disorders in this population. The objective of this investigation was to determine factors associated with depression and anxiety problems in children with ID. METHODS: Children 6-17 years with ID (n = 423; 63% male) from the 2016 National Survey of Children's Health were included in this cross-sectional study. Outcome measures included depression and anxiety problems. Predictor variables included sociodemographics, ID severity, co-morbid conditions (autism spectrum disorders, epilepsy, cerebral palsy, Down syndrome and attention-deficit/hyperactivity disorder), physical factors (i.e. physical activity, sleep duration and pain) and social factors (e.g. participation in activities and bully victimisation). Multivariable logistic regression was performed to determine the association between all factors and depression and/or anxiety problems among children with ID. RESULTS: The prevalence of depression and/or anxiety problems was 35.4%. After adjusting for sociodemographics, Hispanic race was associated with lower odds [odds ratio (OR), 0.3; 95% confidence interval (CI), 0.1-0.8] of depression and/or anxiety problems. After adjusting for race, co-morbid conditions, and physical and social factors, autism spectrum disorders (OR, 4.4; 95% CI, 1.1-10.1), Down syndrome (OR, 0.2; 95% CI, 0.1-0.8), attention-deficit/hyperactivity disorder (OR, 5.9; 95% CI, 2.5-14.3), pain (OR, 7.0; 95% CI, 2.9-17.1) and bully victimisation (OR 2.3; 95% CI, 1.0-5.3) were each associated with depression and/or anxiety problems. CONCLUSIONS: The present study identified both treatable and modifiable, as well as unmodifiable, factors associated with depression and/or anxiety problems in children with ID.
BACKGROUND: Individuals with intellectual disabilities (ID) are at increased risk for depression and anxiety disorders; however, there is a paucity of research that pertains to associative factors for these mental health disorders in this population. The objective of this investigation was to determine factors associated with depression and anxiety problems in children with ID. METHODS:Children 6-17 years with ID (n = 423; 63% male) from the 2016 National Survey of Children's Health were included in this cross-sectional study. Outcome measures included depression and anxiety problems. Predictor variables included sociodemographics, ID severity, co-morbid conditions (autism spectrum disorders, epilepsy, cerebral palsy, Down syndrome and attention-deficit/hyperactivity disorder), physical factors (i.e. physical activity, sleep duration and pain) and social factors (e.g. participation in activities and bully victimisation). Multivariable logistic regression was performed to determine the association between all factors and depression and/or anxiety problems among children with ID. RESULTS: The prevalence of depression and/or anxiety problems was 35.4%. After adjusting for sociodemographics, Hispanic race was associated with lower odds [odds ratio (OR), 0.3; 95% confidence interval (CI), 0.1-0.8] of depression and/or anxiety problems. After adjusting for race, co-morbid conditions, and physical and social factors, autism spectrum disorders (OR, 4.4; 95% CI, 1.1-10.1), Down syndrome (OR, 0.2; 95% CI, 0.1-0.8), attention-deficit/hyperactivity disorder (OR, 5.9; 95% CI, 2.5-14.3), pain (OR, 7.0; 95% CI, 2.9-17.1) and bully victimisation (OR 2.3; 95% CI, 1.0-5.3) were each associated with depression and/or anxiety problems. CONCLUSIONS: The present study identified both treatable and modifiable, as well as unmodifiable, factors associated with depression and/or anxiety problems in children with ID.
Authors: Elizabeth Olivier; Corina Lacombe; Alexandre J S Morin; Simon A Houle; Cynthia Gagnon; Danielle Tracey; Rhonda G Craven; Christophe Maïano Journal: J Autism Dev Disord Date: 2021-10-30
Authors: Roman Ivanov; Fedor Kazantsev; Evgeny Zavarzin; Alexandra Klimenko; Natalya Milakhina; Yury G Matushkin; Alexander Savostyanov; Sergey Lashin Journal: J Pers Med Date: 2022-01-05
Authors: Sarah A Moore; Ritu Sharma; Kathleen A Martin Ginis; Kelly P Arbour-Nicitopoulos Journal: Int J Environ Res Public Health Date: 2021-12-08 Impact factor: 3.390