January 16, 2024
Infants begin to transition from breast or formula milk to solid food at about six months of age, as they gradually develop interest in food and the ability to chew.
The American Academy of Pediatrics recommends breastfeeding for the first six months. The European Society of Pediatric Gastroenterology Hepatology and Nutrition recommends initiation of supplementary food around that time. The World Health Organization (WHO) has set a 2025 goal of getting most mothers worldwide to breastfeed exclusively through the first six months of infancy.
Noting that “inconsistent findings have been reported in previous national survey-based studies,” a South Korean study team conducted a nationwide population study to explore the relationship between breastfeeding and subsequent rates of ADHD.
South Korea has a mandatory single-payer national health insurance system – the National Health Insurance Service (NHIS) – that covers virtually the entire population. Detailed and consistent NHIS records facilitate nationwide population studies.
One NHIS program is the National Health Screening Program for Infants and Children (NHSPIC), which includes periodic examinations by trained pediatricians up to six years of age.
Using these national records, the team identified a cohort of over 1.1 million infants. These same records show that a little over a third (36%) received nothing but formula milk feeding during their first six months. About a fifth (21%) received a mix of formula and breast feeding. Almost a half (43%) were exclusively breastfed.
ADHD diagnoses were made by physicians during hospital visits.
The team adjusted for a series of confounders that were found to influence outcomes: sex, year of examination, residence, socioeconomic status, preterm birth, birth weight, and body measurements (weight, microcephaly) at examination (4–6 months of age).
With these adjustments, partial breastfeeding was associated with a small but significant (9%) reduction in the odds of infants later being diagnosed with ADHD, relative to infants receiving only formula milk feeding.
Exclusive breastfeeding was associated with a much larger 23% reduction in the odds of infants later being diagnosed with ADHD, relative to exclusive formula feeding.
What’s especially noteworthy is the dose-response pattern that suggests that breastfeeding may have a protective effect.
A separate analysis comparing infants who began transitioning to supplementary solid food before versus after six months found absolutely no difference in the odds of subsequently being diagnosed with ADHD.
A similar pattern emerged for autism spectrum disorder on all counts, again reflecting a dose-response pattern, pointing to what may be a broader beneficial effect of breastfeeding for healthy neurologic development.
The team concluded, “The risk of ADHD and ASD [autism spectrum disorder] considerably decreased with breastfeeding, and this tendency was more prominent in children who received EBF [exclusive breastfeeding] than in those who received PBF [partial breastfeeding]. Our study strengthens and supports the idea that breastfeeding is beneficial in preventing NDDs [neurodevelopmental disorders] in children. We suggest that breastfeeding be encouraged and recommended to promote good neurodevelopmental outcomes.”
Jong Ho Cha, Yongil Cho, Jin-Hwa Moon, Juncheol Lee, Jae Yoon Na, and Yong Joo Kim, “Feeding practice during infancy is associated with attention-deficit/ hyperactivity disorder and autism spectrum disorder: a population-based study in South Korea,” European Journal of Pediatrics (2023), https://doi.org/10.1007/s00431-023-05022-z.
In a recent study, researchers delved into the complex interplay of cognitive processes and eye movements in children with dyslexia and Attention-Deficit/Hyperactivity Disorder. Their findings shed light on predictive models for reading outcomes in these children compared to typical readers.
The study involved 59 children: 19 typical readers, 21 with ADHD, and 19 with developmental dyslexia (DD), all in the 4th grade and around 9 years old on average. Each group underwent thorough neuropsychological and linguistic assessments to understand their psycholinguistic profiles.
During the study, participants engaged in a silent reading task where the text underwent lexical manipulation. Researchers then analyzed eye movement data alongside cognitive factors like memory, attention, and visual processes.
Using multinomial logistic regression, the researchers evaluated predictive models based on three key measures: a linguistic model focusing on phonological awareness, rapid naming, and reading fluency; a cognitive neuropsychological model incorporating memory, attention, and visual processes; and an additive model combining lexical word properties with eye-tracking data, specifically examining word frequency and length effects.
By integrating eye movement data with cognitive factors, the researchers enhanced their ability to predict the development of dyslexia or ADHD, in comparison to typically developing readers. This approach significantly improved the accuracy of predicting reading outcomes in children with learning disabilities.
These findings have profound implications for understanding and addressing reading challenges in children. By considering both cognitive processes and eye movement patterns, educators and clinicians can develop more effective interventions tailored to the specific needs of children with dyslexia and ADHD.
The Study Setup
The researchers recruited children aged 6-12 years diagnosed with ASD and/or ADHD, along with their non-ASD/ADHD siblings and the unrelated non-ASD/ADHD volunteers. The diagnoses were confirmed using standardized assessments like the Autism Diagnostic Observation Schedule-2 (ADOS-2). The study looked at gut microbial diversity using advanced DNA extraction and sequencing techniques, comparing alpha-diversity indices (which reflect the variety and evenness of microbial species within each gut sample) across different groups. They also assessed dietary diversity through standardized questionnaires.
Key Findings
The study included 98 subjects, comprising children with ASD, ADHD, both ASD and ADHD, their non-ASD/ADHD siblings, and the unrelated controls. Here's what they discovered:
What Does This Mean?
The study highlights intriguing connections between gut microbiota and neurodevelopmental disorders like ASD and ADHD. The lower gut microbial diversity observed in children with ASD points towards potential links between gut health and the pathophysiology of ASD. Understanding these connections is crucial for developing targeted therapeutic interventions.
Implications and Future Directions
This research underscores the importance of considering gut microbiota in the context of neurodevelopmental disorders. Moving forward, future studies should account for factors like co-occurrence of ASD and ADHD, as well as carefully control for dietary influences. This will help unravel the complex interplay between gut microbiota, diet, and neurodevelopmental disorders, paving the way for innovative treatments and interventions.
In summary, studies like this shed light on the intricate relationship between our gut health, diet, and brain function. By unraveling these connections, researchers are opening new avenues for understanding and potentially treating conditions like ASD and ADHD.
A commonly reported risk associated with ADHD medication is reduced growth in height. But studies to date have generally not adequately described or measured possible confounders, such as genetic factors, prenatal factors, or socioeconomic factors. What if ADHD were associated with reduced height even in the absence of medications?
An international study team explored this question by performing a nationwide population study comparing data from before (1968-1991) and after (1992-2020) the adoption of stimulant therapy for ADHD in Sweden.
The country’s single-payer health insurance system that connects patient records with all other national registers through unique personal identification numbers makes such analysis possible. Sweden also has military service conscription, which records the heights of 18-year-old males.
The participants were all 14,268 Swedish males with a diagnosis of ADHD who were drafted into military service at any time from 1968 through 2020.
Up to five non-ADHD controls were identified for each ADHD case, matched by sex (they had to be male), birth year, and county. The total number of controls was 71,339.
Among 34,586 participants in the period before adoption of stimulant medications (1968-1991), those diagnosed with ADHD had roughly 30% greater odds of being shorter than normal (166-172 vs. 173-185 cm) than typically developing controls. That dropped to 20% greater odds among the 34,714 participants in the cohort following adoption of stimulant medications.
The odds of those diagnosed with ADHD being much shorter than normal (150-165 vs. 173-185 cm) remained identical (about 55% greater) among the almost 30,000 participants in both cohorts.
In other words, there was no increase in the odds of ADHD individuals being shorter than normal after adoption of stimulant therapy in Sweden compared with before such adoption.
Furthermore, after adjusting for known confounders, including birth weight, inflammatory bowel disease, celiac disease, hypothyroidism, anxiety disorders, depression, substance use disorder, and highest parental education, the odds of those diagnosed with ADHD being shorter than normal or much shorter than normal in the 1992-2020 cohort dropped to roughly 10% and 30% greater, respectively.
Could it be the disorder itself rather than stimulant treatment that is associated with reduced height in individuals diagnosed with ADHD?
To address effects of environmental and familial/genetic confounding, the team then compared the entire cohort of males diagnosed with ADHD from 1968 through 2020 with typically developing male relatives, ranging from first cousins to full siblings.
Among full siblings, the odds of those with ADHD diagnoses being shorter (over 90,000 participants) or much shorter (over 77,000 participants) were a statistically significant 14% and 18%, respectively.
The authors concluded, “Our findings suggest that ADHD is associated with shorter height. On a population level, this association was present both before and after ADHD-medications were available in Sweden. The association between ADHD and height was partly explained by prenatal factors, psychiatric comorbidity, low SES [socioeconomic status] and a shared familial liability for ADHD.”
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