Effect of soft Chinese martial arts on depressive symptoms among college students: a systematic review and meta-analysis

ObjectivesMental health problems are a growing concern among college students worldwide. While exercise is a proven mental health intervention, a quantitative synthesis on the effects of soft Chinese martial arts, as a unique mind-body practice, on depression in this specific population is lacking. This study aimed to fill this gap by systematically evaluating the effectiveness of soft Chinese martial arts interventions in alleviating depressive symptoms among college students.MethodsLiterature with publication dates up to July 31, 2025 was searched in seven databases, including PubMed/MEDLINE, Embase, Web of Science, Scopus, CENTRAL, PsycINFO, and CNKI. Studies were systematically screened according to the PRISMA guidelines, and the quality of the included literature was assessed using the Cochrane Risk of Bias tool. The size of the effect was expressed by means of SMD and 95% confidence interval, and subgroup analyses were performed to explore sources of heterogeneity.ResultsA total of 11 RCTs (11 independent datasets) involving 750 participants were included in the analysis. The meta-analysis revealed a significant overall effect of soft Chinese martial arts on reducing depressive symptoms in college students (SMD = –0.71, 95% CI: –1.23 to –0.18, p = 0.008). Subgroup analyses suggested potential moderating effects of intervention duration, frequency, and session length. For example, the effect size for the 9-14 week subgroup was SMD = –1.35 (95% CI: –2.10 to –0.60) and for the 20-60 minute single session duration subgroup was SMD = –0.69 (95% CI: –1.36 to –0.03). Heterogeneity was high (I2 = 82.6%, p < 0.001). Egger’s test was not statistically significant (p = 0.397), but publication bias cannot be ruled out due to the small number of studies.ConclusionSoft Chinese martial arts, particularly Tai Chi and Baduanjin, may be an effective non-pharmacological intervention for reducing depressive symptoms in college students, providing preliminary evidence for mental health programs. However, results should be interpreted with caution because of high heterogeneity, risk of bias, and possible publication bias. The certainty of evidence is very low according to the GRADE framework.Systematic review registrationhttps://www.crd.york.ac.uk/prospero/display_record.php?RecordID=1129413, identifier CRD420251129413.

The application of transcranial magnetic stimulation in treatment-resistant depression: insights from omics

Treatment-resistant depression (TRD) is a refractory form of major depressive disorder (MDD) for which conventional antidepressant strategies are often insufficient. Transcranial magnetic stimulation (TMS) has demonstrated clinical efficacy in TRD, but its biological mechanisms remain incompletely understood. This narrative review synthesizes current evidence across transcriptomic, epigenomic, proteomic, metabolomic, and connectomic levels and is complemented by exploratory secondary analyses of publicly available omics datasets. Transcriptomic and spatial transcriptomic studies suggest that TMS modulates cell type- and region-specific transcriptional programs related to synaptic plasticity and neuronal development. Epigenetic evidence suggests potential roles for DNA methylation and lactylation-related regulation, whereas proteomic and metabolomic studies indicate changes in synaptic proteins, neurotransmitter systems, lipid metabolism, and peripheral metabolites. Connectomic studies further show that TMS can alter functional and structural connectivity involving prefrontal and large-scale brain networks associated with treatment response. Together, current evidence indicates biological changes across multiple levels, although direct causal links between molecular changes and circuit remodeling remain largely unproven. Future longitudinal multi-omics studies in patients with TRD may help identify biomarkers, clarify mechanisms, and improve individualized TMS treatment.

Acupuncture–antidepressant combinations for clinically diagnosed depressive disorders in China: a systematic review and network meta-analysis

IntroductionTo evaluate the short-term efficacy and safety of acupuncture–antidepressant combinations for clinically diagnosed depressive disorders among participants recruited in China using a network meta-analysis.MethodsPubMed, Embase, the Cochrane Library, Web of Science, CNKI, and Wanfang were searched from inception to February 2025 for randomised controlled trials of acupuncture–antidepressant combinations and relevant pharmacological or acupuncture-related comparators. The principal efficacy outcome was change in Hamilton Depression Rating Scale (HAMD/HDRS) scores; safety outcomes included nausea/vomiting, dry mouth, headache, and treatment discontinuation. Risk of bias was assessed using RoB 2. Random-effects Bayesian network meta-analyses were conducted in R version 3.6.0 using gemtc version 0.8.1. Mean differences or odds ratios are presented with 95% credible intervals (CrIs), together with posterior rank-position probabilities. A standardised mean difference (SMD)-based sensitivity analysis assessed the influence of pooling HAMD-17 and HAMD-24.ResultsSeventy-seven trials (7,031 participants) were included in the systematic review. Within the principal connected eight-node efficacy network, manual acupuncture plus selective serotonin reuptake inhibitors produced the largest reduction versus SSRI monotherapy (mean difference −3.37; 95% CrI −3.86 to −2.89) and the highest probability of occupying Rank 8 (the most effective position). Electroacupuncture plus SSRIs was also associated with a greater reduction in HAMD scores than SSRIs alone (MD −2.98; 95% CrI −3.66 to −2.31). Manual acupuncture plus SNRIs also favoured combination treatment (MD −3.16; 95% CrI −6.03 to −0.28), although the interval was comparatively wide. The SMD sensitivity analysis retained benefit for both EA + SSRIs and MA + SSRIs relative to SSRIs, although their relative ordering differed from the raw-MD analysis. The available adverse-event networks did not identify statistically clear differences from SSRI monotherapy; however, sparse events and very wide CrIs limit the strength of this finding.ConclusionManual acupuncture plus an SSRI was associated with the largest short-term HAMD reduction in the primary raw-MD network. Relative treatment ordering differed in the SMD sensitivity analysis. The estimates should be interpreted cautiously because clinical heterogeneity, risk-of-bias concerns, sparse safety data, and limited follow-up preclude claims of equivalent safety or a preferred first-line strategy.Systematic Review Registrationhttps://www.crd.york.ac.uk/PROSPERO/View/CRD420251029584, identifier CRD420251029584.

[Comment] Preventing perinatal depression relapse

Mental health conditions are a leading cause of pregnancy-related deaths in the USA, affecting at least 20% of individuals in pregnancy and postpartum.1 Psychiatric relapse and emergencies in the perinatal period are disproportionately greater for women with a history of depression than for those without.2 Mindfulness-based cognitive therapy leverages cognitive behavioural therapy and meditative mindfulness practice to improve depression symptoms and prevent relapse among perinatal individuals with recurrent depression.

The BELONG Study: Black Equality in OCD NeuroGenomics

By Boris Litvin, MA, Matthew Riello, Andrew Marshall, PhD, Emily Rodriguez, MS, MSc, Martha Falkenstein, PhD, and Alexander Rosenberg

BELONG Logo (1) (1)

One word appears more and more in the news surrounding mental health research (and the IOCDF Newsletter and blog): “genomics”. What does it mean, and why is it such a hot topic lately for both scientists and non-scientists? In the context of OCD research, genomics refers to the study of a person’s genome (all of a person’s genes) to gain insight into how OCD appears and develops.

Genomic studies of OCD over the past two decades have contributed significantly to our understanding of how OCD works. However, there remains more to be done and explored, for OCD as well as for other psychiatric conditions.

With support from a five-year grant by the National Institutes of Health (NIH), researchers at the Mount Sinai School of Medicine (New York, NY), Baylor College of Medicine (Houston, TX) and University of North Carolina at Chapel Hill (UNC) (Chapel Hill, NC) have launched the Black Equality in OCD NeuroGenomics (BELONG) study, a research project that looks specifically at the genomes of Black and African Americans with OCD and their families. BELONG aims to contribute to OCD research from multiple perspectives: first, enhancing our overall understanding of OCD genomics, second, achieving a deeper grasp of OCD risk by adding more participants, and, third, gaining more reliable insight into OCD risk by leveraging the power of human diversity.

For the first point, the lead investigator of the BELONG study, together with Dr. Sidney Hankerson, Mount Sinai’s Dorothy Grice, MD, explained: “We know that there are gene variants that significantly increase risk for OCD. When are those genes active developmentally? Can we understand more about where those gene products function in the brain? What part of the brain? What works in partnership with that part of the brain in terms of brain circuitry?”

For the second, Grice added, “Progress in OCD research has been limited by smaller sample sizes compared to other psychiatric conditions, for example, in 2018, there were samples from 130,000 individuals with major depression, about 60,000 individuals with schizophrenia and 20,000 individuals with bipolar disorder and fewer than 3,000 samples from individuals with OCD. These numbers have grown significantly since 2018, but OCD continues to be underrepresented in genetic research. Increasing the sample sizes has tremendous potential to advance our understanding of OCD genetics.”

Third, according to Grice, much of OCD research has mostly involved individuals with European ancestry: “Thinking about OCD and Black Americans, the prevalence is not any different. So it’s not because it doesn’t happen in other cohorts or populations — it’s because those individuals are not being included or not participating for a variety of reasons. So one motivation for our study is to try to get studies in OCD to reflect the real world and the population that’s out there.” Dr. Grice added, “This is a powerful tool to understand the genomics of OCD across all of human ancestry.”

 

Dorothy Grice, MD (Mt. Sinai School of Medicine)

Dorothy Grice, MD (Mt. Sinai School of Medicine)

James Crowley, PhD (University of North Carolina, Chapel Hill)

James Crowley, PhD (University of North Carolina, Chapel Hill)

Bridging Gaps

The number of people participating in OCD genomic studies has grown significantly over the past ten years, which was partly due to the emergence of the international Psychiatric Genomics Consortium (PGC) in 2007. However, the lack of diversity persisted, even for research published by PGC scientists. “This past year, the largest genomewide association study ever was published, with over 53,000 individuals with OCD (Strom et al., 2025),” said Baylor’s Eric Storch, PhD. “Despite all its strengths, virtually no one within the sample was of any sort of racial or ethnic diversity. When you start modeling effects of genetic composition on things like predicting treatment response, it doesn’t represent the beautiful diversity of our world.” Storch continued, “With such a lack, that really has a risk of creating a health disparity where many individuals that comprise our world would not be represented, or not benefit from those discoveries.”

“Humans came out of Africa,” noted UNC’s James Crowley, PhD. “If all of our genetic diversity goes back to Africa, and you focus just on individuals of European ancestry, you are only looking at a fraction of all the genetic diversity on the planet. There have been a lot of initiatives to include genetic data from individuals of African ancestry, and they have not been as successful as we would like. There are systemic barriers to access to assessment, treatment and biomedical research. We have an opportunity in this study to advance biomedical research in the African American community.”

Grice noted that, for Black Americans, “There’s a lot of hesitancy to participate in research studies, given the tragic history in that regard. In addition, we know that there’s a much higher rate of misdiagnosis in Black Americans. People may present with what may be OCD, but there are higher rates of being misdiagnosed as having anxiety or psychosis, even to the point of being inappropriately hospitalized compared to other groups.”

The BELONG team is hopeful that their efforts will contribute to the comparatively small amount of research on OCD in Black Americans. Baylor’s Ogechi “Cynthia” Onyeka, PhD, remarked, “With regards to understanding symptom presentation and expression, the literature on what OCD looks like in the Black community is very limited and restricted to a group of papers that were written 10-15 years ago. We are really excited to pick up where that limited literature has left off and not only understand what some of the symptom dimensions are that might be more prevalent, but also build upon that and get more information out to individuals who might think they have OCD to help support treatment awareness and engagement too.”

 

Eric Storch, PhD (Baylor College of Medicine)

Eric Storch, PhD (Baylor College of Medicine)

Ogechi "Cynthia" Onyeka, PhD (Baylor College of Medicine)

Ogechi “Cynthia” Onyeka, PhD (Baylor College of Medicine)

How BELONG Contributes to Science

How would genomics research contribute to knowledge of OCD, and further advances in treatment? Grice explained, “We’re focusing on rare genetic variation, and particularly de novo variation— which indicates a new, spontaneous genetic change that occurs randomly very early in embryonic development.”

To understand the role of de novo variation, BELONG invites not only Black Americans with OCD to participate, but also their family members, with a goal of at least 1,250 participants by the end of the study. The process for participating in BELONG is fairly simple, and anyone in the US can take part. Storch explained, “Go to our website (https://belongocd.com/), or email one of us. From there it’s a simple interview and mailing us a saliva sample via a kit that we provide. We also provide some compensation to participants for their time and effort.”

Naturally, concerns about the safety of DNA collection and storage can arise. “There’s a lot of oversight and attention to ensure our study is compliant with all the current ethical and confidentiality rules that are in place on every level,” Grice said. Crowley added, “First: there’s no for-profit institution involved in any of this research. Second: we remove all identifiers, like name, birthplace, and date of birth. All of that information is stripped from any of the genetic data. Third: the way that we work with the data is very controlled and regulated by each institution’s ethical review board.”

Importantly, this security extends to research conducted by future researchers who may access the data for years to come. The BELONG team adheres to strict federal and institutional standards to promote the safety of participants. Like many studies funded by the NIH, BELONG data will be available for future research. “With the consent of each participant, we share their anonymous information with NIH because NIH has a data repository available to other vetted and qualified researchers who can extend our work,” Grice specified. “The participants are doing so much for our study and if a researcher comes along in ten years with a great new idea that can benefit the field, they can apply to use this information. Every participant in BELONG is advancing knowledge of OCD today and in the future. And that’s fantastic.”

It all comes back to the participants. “We try to answer questions, make sure people feel comfortable about participating — that’s all a part of the informed consent process, to make sure that all the questions are answered about why we’re doing this study, what the study entails and how the participants are protected, before they actually get into the study. We want people to understand what it’s all about and make sure they have the knowledge that they need to make an informed decision about whether they want to join or not,” said Grice.

 

Beyond BELONG

While the BELONG study highlights and addresses major gaps in both genomics and OCD research, it is important to be mindful that all research has limitations, especially with the interpretation and extrapolation of data. Fellow scientists and clinicians like Sonya Faber, PhD, at the University of Ottawa warned that the results of genetic research could be misconstrued to “reinforce scientific racism and biological determinism, rather than addressing the structural and psychosocial contributors to mental health disparities.” Faber also noted that racially-based genetic studies could “risk excluding or misclassifying participants of mixed ancestry—who often face the same structural barriers but may be excluded for not fitting a clean racial “genetic” category”. Grice notes that African Americans are overwhelmingly of mixed ancestry and hence the BELONG study is in a unique position to address these risks. Similarly, Emory University School of Medicine’s Donovan Ellis, PhD, expressed, “[We want] to be mindful that we’re not reifying race science-based conclusions, or coming to the types of conclusions that unintentionally further marginalize communities, or be overly narrow”.

Both Faber and Ellis asserted that genetic risk factors for psychological disorders are not tied to race. Citing genetic research into schizophrenia, Faber explained, “Although there are now genes associated with the risk of developing schizophrenia, these do not directly correspond to higher risk by race, as race is a sociopolitical and not a genetic classification” (Faber et al., 2023). “This logic applies equally to OCD,” she stated.

Emory University clinical psychologist Joya Hampton-Anderson, PhD, suggested that this important study should ensure to carefully consider the cultural context and historical stigma associated with medical research and minority groups: “I think the alignment with the community is going to be really important with something like saliva samples being taken. There is a lot of historical mistrust in the Black community around medicine, broadly defined, but also research, and that is a very intimate data collection method.”

With these concerns in mind, Faber described how epigenetic factors may play a role in linking genetics with OCD. Epigenetics refers to how one’s behavior or environment can impact and interact with their own genome. “Since belonging to a certain race corresponds to an environmental risk of poor mental health (i.e., social disadvantage)…an association between race and [mental disorders] may be expected to be observed,” said Faber; these risks may include “chronic exposure to racism, discrimination-related stress, intergenerational trauma, and environmental adversity (housing, pollution, policing, poverty)”. Faber continued, “Epigenetics provides a far more accurate and justice-consistent framework for understanding why racially minoritized groups may show different biological profiles—without invoking race as a proxy for genetic difference”.

Faber concluded citing Bryant et al. (2022): “While ethnicity allows individuals the agency to self-define through shared culture and ancestry, race is an artificial category externally imposed to rank and divide human variation. Decades of genetic data confirm that race is not a proxy for genetics, but rather a proxy for the impacts of structural racism”.

 

Advancing OCD Research, One Saliva Sample at a Time

The BELONG researchers have acknowledged these concerns head-on. Regarding potentially reinforcing biological determinism, Grice explained, “We’re not thinking there will be different genes involved compared to other ancestries, but given all the ancestral population changes and genetics, there probably will be different genetic variants within a particular gene, which will help us to learn more about the biology of OCD, because not all genetic variation actually leads to a problem”. In fact, Grice notes that other ongoing psychiatric genetic studies in autism and schizophrenia that also focus on rare de novo variation do not show evidence for different biological profiles across different ancestries, so there is good reason to think these issues will be moot in BELONG.

Grice also clarified: “This study is focusing on genetics which plays a very important role in risk for OCD, and while there are also important non-genetic or environmental factors, those are not a focus of this particular study. We’re not saying it’s all genetic, but that is what we’re focusing on in BELONG”.

Recognizing the complex history of medical research involving minority communities, Onyeka reiterated that “We have a community advisory board that we’ve been working with, with different clinicians who are Black who work within this space in terms of providing treatment and therapy, and getting feedback from folks who are on the ground and actually engaging with these patients has also been helpful too”.

Despite genetics being the focus of the study, Onyeka mentioned that working directly with minority communities can provide insight into the environmental factors that shape OCD  “I think one thing that I’m really excited about is the phenotypic component of this study. In addition to getting a really good assessment of OCD with the participants, we’re also getting a lot of different perspectives about different socioecological factors that might be related to OCD. Things like ethnic identity membership and awareness of treatment of symptoms and other things that, with a large sample, we hope to obtain”.

Jordan Cattie, PhD, of Emory University School of Medicine expressed, “Researchers can build trust by using approachable, clear, and informative language about how a study can help, or is different from previous work. For example, this study team shared that (in both existing genetics and OCD treatment studies) there is significant underrepresentation of Black Americans, which makes representation a really important priority. This study team is unique in including a community advisory board that focuses on how to make research helpful for communities, as well as health equity researchers.”

Many researchers and clinicians remain hopeful about the prospects of this research and understand its importance in expanding the knowledge of OCD risk.

“Ultimately, BELONG represents a unique research study that goes beyond the laboratory. This research is really grounded in altruism,” said Onyeka. “It’s a one-time experience for the participant — to be able to meet for the assessment, get an understanding of what OCD looks like for them, have the validation of talking to somebody about their symptoms, which can be really validating and helpful and affirming, and then participate with regards to the genetic component. But the dividends of that participation go far beyond what we can even operationalize or quantify right now, which is something that’s really incredible and not something that you see a lot with research in the Black community. I think just what makes this study really unique is how far your participation can go.”

 

 

References

Bryant, B. E., Jordan, A., & Clark, U. S. (2022). Race as a Social Construct in Psychiatry Research and Practice. JAMA psychiatry, 79(2), 93–94. https://doi.org/10.1001/jamapsychiatry.2021.2877

Faber, S. C., Khanna Roy, A., Michaels, T. I., & Williams, M. T. (2023). The weaponization of medicine: Early psychosis in the Black community and the need for racially informed mental healthcare. Frontiers in psychiatry, 14, 1098292. https://doi.org/10.3389/fpsyt.2023.1098292 

Strom, N.I., Gerring, Z.F., Galimberti, M., Yu, D., Halvorsen, M.W., Abdellaoui, A., Rodriguez-Fontenla, C., Sealock, J.M., Bigdeli, T., Coleman, J.R., Mahjani, B., Thorp, J.G., Bey, K., Burton, C.L., Luykx, J.J., Zai, G., Alemany, S., Andre, C., Askland, K.D., Bäckman, J., … Mattheisen, M. (2025). Genome-wide analyses identify 30 loci associated with obsessive-compulsive disorder. Nature Genetics, 57(6), 1389–1401. https://doi.org/10.1038/s41588-025-02189-z 

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Targeted Brain Ultrasound Could Help Relieve Schizophrenia Symptoms

Results from a small pilot study show transcranial ultrasound stimulation, using low-intensity targeted sound waves, can improve delusions in people with schizophrenia or schizoaffective disorder.

As reported in the journal npj Acoustics, participants’ delusion scores fell by an average of 1.2 points relative to their pre-session scores after active ultrasound, compared with an average 0.4-point increase after a control “sham” treatment.

While this difference is statistically significant, the study was small with only 10 patients, so further work is needed to confirm the results of this pilot study. “These promising early findings suggest that further work is needed to establish whether targeted ultrasound could one day supplement or even replace standard medicines for schizophrenia,” said lead study author Donald Goff, MD, NYU Grossman School of Medicine, in a press statement.

Low-intensity transcranial ultrasound stimulation is being investigated as a possible treatment for depression, pain, epilepsy, Parkinson’s disease and Alzheimer’s disease, as well as schizophrenia. So far the greatest evidence base is probably for treatment of depression, but this type of ultrasound is still at the experimental stages for these different indications.

“Unlike other emerging techniques that modulate brain circuits, transcranial ultrasound stimulation offers a unique opportunity to precisely target very small regions that affect thinking and behavior,” said study co-senior author Shy Shoham, PhD, a professor of neuroscience and ophthalmology at NYU Grossman School of Medicine.

In the current study, the researchers recruited ten adults with schizophrenia or schizoaffective disorder and ongoing psychosis. In a randomized crossover design, each participant received two sessions one week apart: active transcranial ultrasound stimulation and sham stimulation, in random order. Six participants continued stable antipsychotic treatment during the study and four were not taking antipsychotics.

Using magnetic resonance imaging-guided navigation, the team delivered ten minutes of pulsed ultrasound to the right globus pallidus internus, a deep-brain structure involved in psychosis. Delusions and auditory hallucinations were assessed before, during and after each session and cognition and adverse effects were also measured.

Transcranial ultrasound reduced delusion scores by 1.56 points versus sham treatment. However, the treatment did not significantly change auditory hallucinations or cognition. No serious adverse events occurred. Mild headaches, fatigue and gastrointestinal discomfort were seen in both the treatment and control treatment groups.

“Globus pallidus interna-targeted transcranial ultrasound stimulation was safe, well-tolerated, and associated with a preliminary reduction in delusional severity, warranting further study in larger, randomized trials,” conclude the authors, although they caution that “the findings should be considered preliminary and require replication and extension in larger randomized controlled trials.”

The post Targeted Brain Ultrasound Could Help Relieve Schizophrenia Symptoms appeared first on Inside Precision Medicine.

Diagnostic and predictive value of structural and high-order functional brain topology in major depressive disorder

BackgroundConventional neuroimaging analyses for major depressive disorder (MDD) predominantly construct brain networks based solely on pairwise regional functional couplings. Accumulating microscale neuroscientific evidence highlights the essential role of higher-order interactions (HOIs, interactions among three or more brain nodes) in capturing the intricate spatiotemporal dynamics of the human brain. This study aims to integrate machine learning techniques with neuroimaging topological features to systematically investigate the impact of non-pairwise interaction patterns in the brains of MDD patients on system dynamics, and to develop diagnostic and predictive models for MDD clinical manifestations.MethodsFirstly, diffusion tensor imaging (DTI) and resting-state functional magnetic resonance imaging (rs-fMRI) data were acquired from 154 MDD patients with first-episode, drug-naïve and 153 age and gender matched healthy controls (HCs). Graph-theoretical analysis was applied to DTI-derived tractography data to quantify structural topology metrics, whereas persistent homology was adopted to extract higher-order functional topological signatures from rs-fMRI time series. Second, feature-level fusion was performed, and then a classification model was constructed using support vector machine (SVM) for MDD diagnosis. A repeated nested validation strategy with 50 repeated stratified 70/30 hold-out splits was adopted. Classification performance was evaluated using the area under the receiver operating characteristic curve (AUC). Subsequently, a prediction model was built based on the selected fused features using ridge regression, and the prediction performance was evaluated based on the correlation between the predicted values and the actual scale scores.ResultsCompared with HC, MDD patients exhibited significant alterations in structural and functional topological metrics within key brain networks, including DMN, VN and FPN. The classification performance of the SVM model integrating multimodal neuroimaging features achieved excellent classification performance, with an AUC of 88.2%. Additionally, multimodal imaging features demonstrated robust predictive capacity for suicide risk level in MDD patients (r=0.604).ConclusionBy integrating structural and higher-order functional topological features, we are able to effectively diagnose and predict MDD, highlighting the crucial role of higher-order interactions in the pathological mechanisms of brain networks in depression.

Development and contextual adaptation of the first national clinical practice guideline for autism spectrum disorder in children and adolescents in Tunisia

IntroductionAutism Spectrum Disorder (ASD) is a neurodevelopmental condition requiring long-term, coordinated, and multidisciplinary care. Although ASD services in Tunisia have improved, coordination across health, education, and social sectors remains limited, affecting equitable access and continuity of care. This study aimed to develop a national, evidence-based clinical practice guideline for the screening, diagnosis, and management of children and adolescents with ASD adapted to the Tunisian healthcare context.Assessment of guideline development and practice implicationsThe guideline was developed by the Tunisian Society of Child and Adolescent Psychiatry and accredited by the National Authority for Evaluation and Accreditation in Health. Using the ADAPTE framework, a multidisciplinary panel adapted international ASD guidelines to the Tunisian context. After systematic searches and AGREE II appraisal, the 2023 Singapore ASD guideline was selected as the main source document. Recommendations were adopted, adapted, or newly developed according to contextual relevance and applicability. An additional literature search was performed to incorporate high-level evidence published between June 2023 and January 2025.Actionable recommendationsThe final guideline includes 96 evidence-based recommendations and 87 good practice points organized into ten chapters, covering the screening, diagnosis, intervention, and follow-up of autism spectrum disorder in children and adolescents across all levels of care in Tunisia. This article summarizes the key practice-oriented recommendations across these chapters.ConclusionThis first Tunisian ASD guideline aims to harmonize practices, improve the quality of care, and strengthen integrated care pathways.