Evaluation of Metabolic Changes and Treatment Outcomes Associated with Risperidone in Paediatric Patients

1. Introduction

Over the past two decades, second-generation antipsychotics (SGAs), or atypical antipsychotics, have become central to the pharmacological treatment of paediatric psychiatric disorders. Their indications now extend beyond psychotic illnesses to include disruptive behaviour disorders (DBDs), irritability linked to autism spectrum disorder (ASD), Tourette syndrome, and various other neurodevelopmental and behavioural conditions [1,2,3]. Among these, risperidone stands out as one of the few antipsychotics approved by the US Food and Drug Administration (FDA) specifically for managing irritability in ASD. It has also shown effectiveness in controlling aggression, conduct issues, and symptoms of severe attention-deficit/hyperactivity disorder (ADHD) [1,2,4]. Its broad clinical utility, along with a relatively lower incidence of extrapyramidal side effects compared to first-generation antipsychotics, has made it a commonly prescribed agent, often preferred over other SGAs like olanzapine and quetiapine in paediatric populations [1,3,5].

However, the metabolic adverse effects associated with risperidone use in children are increasingly concerning. Numerous systematic reviews, meta-analyses, and observational studies have reported a heightened risk for rapid weight gain, dyslipidaemia, insulin resistance, and hyperprolactinaemia—often emerging within a few weeks of starting therapy and persisting even with lifestyle interventions [1,6,7,8,9]. Weight gain is particularly common, with some studies reporting average increases exceeding 6% of baseline body weight within two months and nearly one-third of children experiencing clinically meaningful metabolic changes [7,9,10]. These disturbances are alarming due to their potential long-term impact, including elevated risk of obesity, type 2 diabetes, and cardiovascular disease in adulthood [11,12]. Importantly, these risks are not limited to older children or high-risk individuals; evidence suggests a broad vulnerability across various ages, diagnoses, and dosing patterns [9,12,13].

Mechanistically, risperidone’s antagonism at histamine H₁ and serotonin 5-HT2C receptors is believed to increase appetite and caloric intake, partly by altering hypothalamic neuropeptide signalling [14,15,16]. Additionally, dopamine receptor blockade and interference with insulin pathways may disrupt energy balance and contribute to both fat accumulation and metabolic abnormalities, even in the absence of overt weight changes [14,15,17]. Recent studies have also implicated changes in the gut microbiota and reductions in non-aerobic resting metabolic rate as possible contributors to risperidone-induced weight gain [17].

Although global trends in SGA use are reflected in India, there is a notable lack of region-specific data regarding metabolic effects and treatment outcomes in Indian children [18]. This gap is significant, as genetic, dietary, and environmental factors may influence the safety and efficacy profile of risperidone in Indian populations. Moreover, while international guidelines recommend regular monitoring of BMI, fasting glucose, lipids, and other metabolic parameters, adherence to these protocols remains inconsistent, both globally and within Indian clinical settings [9,12,19]. Studies repeatedly show poor compliance with such monitoring recommendations among Indian cohorts as well [12,19,20].

In this context, it becomes crucial to evaluate both the metabolic impact and therapeutic outcomes of risperidone in Indian paediatric patients. Specifically, examining how early changes in weight and BMI correlate with behavioural improvements—such as those measured using the Child Behavior Checklist (CBCL)—can support more balanced, evidence-based treatment planning. To contribute to this understanding, we conducted a prospective observational study assessing the short-term metabolic effects and behavioural outcomes associated with risperidone therapy in children at a tertiary-care hospital in India.

2. Materials and Methods

2.1. Study Design and Setting

This was a single-centre, prospective observational study conducted in the Department of Paediatric Medicine at Sri Ramachandra Institute of Higher Education and Research, Chennai, India. The study period spanned from January to July 2025. Prior to study initiation, ethical clearance was obtained from the Institutional Ethics Committee. Written informed consent was obtained from the caregivers of all participants, and assent was secured from children wherever appropriate, in accordance with institutional guidelines.

2.2. Participants

Children between the ages of 3 and 15 years were screened for eligibility. Inclusion criteria consisted of (i) antipsychotic-naïve children initiated on risperidone therapy for clinical diagnoses including autism spectrum disorder (ASD), attention-deficit/hyperactivity disorder (ADHD), conduct disorder, or other disruptive behaviour disorders. Exclusion criteria included: (i) presence of pre-existing metabolic disorders (e.g., diabetes mellitus, familial hyperlipidaemia), (ii) current or recent use of medications known to affect weight or glucose–lipid metabolism (e.g., corticosteroids, metformin), and (iii) significant medical comorbidities that could confound metabolic outcomes or impede follow-up.

2.3. Sample Size Estimation

Sample size was calculated using a two-tailed paired-means formula with an alpha level of 0.05, power of 80%, standard deviation of 5 kg, and a minimum detectable mean weight change of 3 kg. Based on this, a minimum of 23 participants was required. To account for an anticipated 20% attrition rate, a total of 27 children were enrolled.

2.4. Statistical Analysis

Data were analysed using IBM SPSS Statistics version 29. The Shapiro–Wilk test was used to assess normality of data distribution. For within-subject comparisons of baseline and follow-up measurements, paired t-tests were employed for normally distributed data, and Wilcoxon signed-rank tests were used for non-parametric data. Pearson or Spearman correlation coefficients were computed to examine associations between percentage changes in metabolic parameters (e.g., weight and BMI) and risperidone dose (mg/kg), age, and duration of treatment. All statistical tests were two-tailed, and a p-value of less than 0.05 was considered statistically significant.

3. Results

3.1. Participant Characteristics

A total of 27 paediatric patients were enrolled, with 24 completing the 10-week follow-up period (11.1% attrition). The mean age was 9.6 ± 2.9 years, and the sample comprised 79% males. Indications for risperidone initiation included Autism Spectrum Disorder (ASD, 50%), Attention Deficit Hyperactivity Disorder (ADHD, 29%), and other disruptive behaviour disorders (21%). The mean baseline weight was 30.2 ± 9.1 kg, and the mean BMI was 17.3 ± 2.1 kg/m².

Most participants (87.5%) were antipsychotic-naïve at baseline, and none had significant comorbid medical conditions. All patients were treated in an outpatient setting, and medication adherence was confirmed through caregiver reports and follow-up assessments.

Figure 1. .

Figure 1. .

3.2. Metabolic Outcomes

Following approximately 10 weeks of risperidone therapy, a statistically significant increase in both weight and BMI was observed. The mean weight increased by 3.6 ± 1.9 kg (p < 0.001), and the mean BMI rose by 2.2 ± 1.1 kg/m² (13% increase; p < 0.001). Among participants, 91.7% (22/24) experienced clinically significant weight gain (>7% of baseline). Shapiro–Wilk testing confirmed normality of distribution for parametric comparisons.

Figure 2. .

Figure 2. .

3.3. Behavioural Outcomes.

Child Behavior Checklist (CBCL) total scores significantly improved from a baseline mean of 71.5 ± 8.3 to 47.2 ± 9.7 at follow-up, representing a 34% reduction (p < 0.001). Subscale improvements were most notable in externalizing behaviors such as aggression and rule breaking.

Figure 3. .

Figure 3. .

3.4. Dose–Response and Correlation Analyses

A positive correlation was identified between risperidone dose (mg/kg/day) and percentage change in weight (r = 0.46, p = 0.024), suggesting a dose-dependent metabolic response. No significant associations were found between weight/BMI change and participant age (r = 0.12, p = 0.53) or treatment duration (r = 0.09, p = 0.62). Similarly, no correlation was observed between dose and behavioural improvement (r = 0.18, p = 0.41).

Figure 4. .

Figure 4. .

4. Discussion

In this prospective observational study, risperidone treatment over an average duration of 9.5 weeks resulted in a significant mean weight gain of 3.6 kg and a 13% increase in BMI among paediatric participants, consistent with prior findings in similar cohorts [6,8,11]. These metabolic changes appeared dose-dependent but not time-dependent, indicating that early shifts in energy balance are likely driven by pharmacodynamic appetite stimulation rather than cumulative drug exposure. Behavioural outcomes were notably improved, with a 34% reduction in total Child Behavior Checklist (CBCL) scores, supporting risperidone’s efficacy in managing disruptive symptoms, a finding in line with previous studies comparing its performance to stimulant medications. The magnitude of weight gain observed in our study closely mirrors the 5.4 kg increase reported over 24 weeks in ASD clinical trials, and is comparable to 0.45 standard deviation increases in BMI z-scores found in preschool populations. Our moderate dose–response correlation aligns with mixed-model analyses suggesting greater weight gain at higher mg/kg exposures, while the lack of significant age-related differences in weight change is consistent with literature indicating that metabolic risk affects a broad paediatric age range. Behaviourally, our findings reaffirm risperidone’s superiority in reducing aggression, though its impact on core ADHD symptoms remains modest. Clinically, these results underscore the importance of early metabolic monitoring, recommending baseline anthropometric and laboratory assessments, review within 4–6 weeks, integration of weight-neutral strategies such as dietary counselling and physical activity, possible melatonin co-administration, and the use of the lowest effective dose. Pharmacogenetic testing for CYP2D6 poor metabolisers may further personalise therapy. The study’s strengths include its prospective design, consistent baseline characteristics, and combined assessment of behavioural and metabolic outcomes. Limitations include the small sample size, single-centre setting, absence of follow-up lipid and glucose data, and limited observation period that precludes evaluation of long-term cardiometabolic risk. Future research should focus on multicentre, longitudinal studies in Indian populations to assess the persistence of weight gain, progression of metabolic syndrome components, and the potential mitigating effects of lifestyle modifications or adjunctive pharmacological interventions.

5. Conclusions

This prospective observational study highlights the dual impact of risperidone therapy in children, demonstrating significant short-term behavioural improvement alongside rapid, dose-related weight and BMI gain. While risperidone effectively reduced disruptive symptoms within 10 weeks, the early onset of metabolic changes—largely independent of age or treatment duration—raises important concerns about long-term health risks. These findings reinforce the need for vigilant baseline and follow-up monitoring, judicious dosing, and integration of lifestyle counselling from the outset of treatment. Larger, long-term studies are essential to guide safer, individualised risperidone use in paediatric populations.