Psychiatry · Medical Literature
Personalized breathing recommendations for anxiety relief: a data-driven exploratory approach focusing on feasibility.
Abstract
Breathing exercises are widely used to alleviate anxiety, but most interventions use fixed templates of inhalation, exhalation, and repetition. This study preliminarily explores the feasibility of data-driven personalization of breathing recommendations for general individuals. We hypothesized that based on the characteristics of individual users, a data-driven method could give a feasible breathing intervention suggestion without the need of specialized hardware. A multilayer perceptron was trained on questionnaire responses to predict the inhalation, exhalation, and repetition times. The model stability was assessed using several independently trained models and exhibited high consistency with coefficients of variation below 10% across all outputs. A single-blind randomized study (N = 820), which compared the personalized recommendations to a fixed template that is known to effectively reduce anxiety, measured the outcomes in terms of anxiety reduction and user-reported satisfaction. The main analysis and subgroup analysis both detected no statistically significant differences in effectiveness between model recommendation and fixed template after applying multiple comparison corrections. However, adults aged 18-30 years with the medium anxiety level showed a moderate exploratory preference for the fixed template. These findings indicate that individual characteristics may influence the preference of breathing interventions. Overall, the results highlight the feasibility of datadriven personalization in non-medical anxiety interventions. The outcomes can still be enhanced by various methods such as collecting more training data, fine-tuning on the model, or choosing advanced machine learning or offline reinforcement learning approaches.
Clinical relevance
In general, non-clinical adults experiencing anxiety, does a data-driven, machine-learning–personalized breathing regimen (inhalation duration, exhalation duration, and number of repetitions) reduce anxiety more effectively than a validated fixed-template breathing protocol, and is such an approach feasible without specialized hardware? __SNAPSHOT__ {"studyDesign":"Single-blind randomized controlled trial with an embedded multilayer perceptron (MLP) model development and stability assessment component; described by authors as a 'data-driven exploratory' feasibility study","setting":"Not reported (no institution, country, or clinical setting specified in the abstract)","sampleSize":"n = 820 (arm-level allocation not reported)","population":"General (non-clinical) individuals; specific inclusion/exclusion criteria, age range, sex distribution, and baseline anxiety severity not reported in the abstract","intervention":"Personalized breathing regimen (inhalation time, exhalation time, and number of repetitions) generated by a multilayer perceptron neural network trained on questionnaire-derived individual characteristics; no specialized hardware required","comparator":"A fixed breathing template previously shown to effectively reduce anxiety (specific template parameters — e.g., 4-7-8, box breathing, or other — not specified in the abstract)","primaryOutcome":"Anxiety reduction (instrument and assessment timing not reported in the abstract); user-reported satisfaction also measured","followUp":"Not reported","fundingSource":"Not reported"}
Key findings
The multilayer perceptron model demonstrated high internal consistency across independently trained instances, with coefficients of variation (CV) below 10% for all three output parameters (inhalation time, exhalation time, and repetition count), supporting model stability. In the primary comparative analysis (N = 820), no statistically significant difference in anxiety reduction was detected between the personalized (model-generated) breathing recommendation and the validated fixed template after correction for multiple comparisons. Subgroup analyses were similarly non-significant. Specific effect sizes, confidence intervals, p-values, and absolute or relative differences in anxiety scores are not reported in the available abstract. User-reported satisfaction outcomes are referenced but quantitative results are not provided in the abstract. No adverse event data are reported. NNT/NNH: not calculable from available data.
Practice implications
This study was explicitly designed and described as a feasibility and exploratory investigation, not a definitive superiority or non-inferiority trial. The primary finding — non-significant difference between personalized and fixed-template breathing — could reflect genuine equivalence, insufficient statistical power, an inadequate personalization signal from questionnaire-only inputs, or limitations in the MLP model's ability to meaningfully differentiate optimal breathing parameters across individuals. Critically, a non-significant difference does not constitute demonstrated equivalence in the absence of a pre-specified non-inferiority margin and adequate power for that design. The population studied comprised general (non-clinical) adults; applicability to patients with diagnosed anxiety disorders (e.g., generalized anxiety disorder, panic disorder, PTSD) is not established. The outcome measure, follow-up duration, randomization details, and blinding procedures are insufficiently described in the abstract. Results should not be used to guide individual clinical prescribing of breathing interventions. IMPORTANT LIMITATION: This summary is based solely on the published abstract; full-text review is required before any clinical or research conclusions are drawn. __LIMITATIONS__ Explicitly an exploratory feasibility study — not powered or designed to establish superiority or non-inferiority; absence of statistical significance cannot be interpreted as equivalence,Single-blind design only; nature of blinding (participant, assessor, or both) and adequacy not reported in abstract,Outcome measure for anxiety reduction not specified (scale, timing, and minimally important clinical difference not reported),Follow-up duration not reported; only acute or short-term effects can be inferred,Population is non-clinical; generalizability to patients with clinically diagnosed anxiety disorders is unknown,MLP trained on questionnaire responses alone — physiological or behavioral data not incorporated; training dataset characteristics, overfitting safeguards, and external validation are not described in the abstract,Fixed comparator template not fully described, limiting replication and comparison with established protocols,Arm-level sample sizes, baseline characteristics, and dropout rates not reported,Funding source not reported; potential conflicts of interest cannot be assessed,Full statistical analysis plan, multiplicity correction method, and pre-registration status not reported in abstract,Satisfaction outcomes referenced but not quantified in abstract __BOTTOM_LINE_CATEGORY__ promising_but_preliminary __BOTTOM_LINE__ This single-blind RCT (N = 820) found no statistically significant difference in anxiety reduction between an MLP-generated personalized breathing protocol and a validated fixed-template breathing regimen, with the MLP showing acceptable internal stability (CV < 10%). However, the study is explicitly exploratory and feasibility-focused, lacks a pre-specified non-inferiority framework, and provides insufficient detail in the abstract to support any change in clinical practice. Full-text review is essential before the findings can be interpreted or applied, and the approach requires prospective validation in clinical anxiety populations before it can be considered for adoption.