Processed Food–Sweets Patterns and Related Behaviors with Attention Deficit Hyperactivity Disorder among Children: A Case–Control Study
Year: 2023
Type: article
Study design: Observational Study
Abstract: BACKGROUND: Previous studies have focused on the associations between core symptoms and dietary intake in children with attention deficit hyperactivity disorder (ADHD). However, few studies have explored how dietary patterns and behaviors relate to the risk of ADHD. The aim of our study is to explore the associations between dietary patterns and behaviors and the risk of ADHD, which could provide evidence for follow-up and treatments for children with ADHD. METHODS: We conducted a case-control study, including 102 children diagnosed with ADHD and 102 healthy children. The food frequency questionnaire (FFQ) and the children's eating behavior questionnaire (CEBQ) were used to investigate food consumption and eating behaviors. We applied exploratory factor analysis for constructing dietary patterns, and the factor scores were adopted for log-binomial regression to assess the associations between how dietary patterns and eating behaviors affect the risk of ADHD. RESULTS: We extracted five dietary patterns with a cumulative contribution rate of 54.63%. Processed food-sweets scores revealed positive associations with an increased risk of ADHD (OR = 1.451, 95% CI: 1.041-2.085). Moreover, processed food-sweets tertile 3 was associated with an increased risk of ADHD (OR = 2.646, 95% CI: 1.213-5.933). In terms of eating behaviors, the group with a higher score relating to a desire to drink was also positively correlated with the risk of ADHD (OR = 2.075, 95% CI: 1.137-3.830). CONCLUSIONS: In the treatment and follow-up of children with ADHD, dietary intake and eating behaviors should be considered.
Source: Nutrients
DOI: 10.3390/nu15051254
Language: English
Subfield: Psychiatry and Mental health
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,892
Awards: G1369385803, G3161318059
OpenAlex ID: W4322771237
