Tryptophan modulates the impact of prolactin on insomnia in perimenopausal women: a cross-sectional study

BackgroundInsomnia is highly prevalent among perimenopausal women and exerts detrimental effects on physical health, psychological well-being, and overall quality of life. However, its underlying mechanisms remain incompletely understood. This cross-sectional study aimed to identify factors associated with insomnia in perimenopausal women.MethodsA total of 187 perimenopausal women aged 45–55 years were enrolled. Insomnia, anxiety, and depression severity were assessed using the Insomnia Severity Index (ISI), Generalized Anxiety Disorder-7 (GAD-7), and Patient Health Questionnaire-9 (PHQ-9), respectively. Serum levels of relevant amino acids and hormones were measured. Spearman correlation and linear regression analyses were performed to examine the associations among prolactin levels, tryptophan levels, insomnia, anxiety, and depression. Moderation analysis was further conducted to evaluate the potential moderating role of tryptophan in these relationships.ResultsSerum prolactin levels were positively associated with scores of ISI, GAD-7, and PHQ-9. Furthermore, prolactin levels were positively correlated with the severity of sleep-onset difficulties, sleep maintenance problems, noticeability of impairment, and sleep-related distress. Of note, serum tryptophan levels significantly moderated the association between prolactin levels and ISI scores (β = 0.227, 95% CI = 0.04–0.41, p = 0.0148). To wit, he positive relationship between prolactin levels and insomnia severity was stronger in perimenopausal women with higher serum tryptophan levels compared with those with lower levels.ConclusionsThe moderating effect of serum tryptophan on the relationship between prolactin levels and insomnia in perimenopausal women helps us understand the neuroendocrine mechanisms underlying perimenopausal insomnia and may inform future research on targeted preventive and therapeutic strategies.

Dissociation: Signs and Causes in Children

When people use the word dissociation, it can sound alarming. You may have seen it on social media, heard your child mention it, or noticed your child seeming “checked out” and wondered if that’s what’s happening. Dissociation can be confusing because it exists on a spectrum — from everyday experiences like daydreaming to more serious symptoms that may signal that a child is overwhelmed or struggling. The good news is that dissociation is often a temporary coping mechanism, and when it does become a problem, there are effective ways to help.

What is dissociation?

In simple terms, dissociation is a kind of mental disconnection. “When I think of dissociation, I think of there being some sort of disconnect between an individual and their sense of self, or a period of time that you later can’t recall, or feeling like you’re disconnected from your body,” says Lauren Allerhand, PsyD, a clinical psychologist at the Child Mind Institute and co-director of its DBT program.

Some kids describe dissociation as feeling spaced out, numb, or disconnected from their body or surroundings. Others say they feel like they’re watching themselves from outside their body, or that the world around them doesn’t feel real. “There’s some period of time where your normal sense of flow is disrupted,” Dr. Allerhand explains.

Is dissociation normal?

In its mildest form, dissociation is a commonplace occurrence. Kids might daydream in class, zone out during something boring like a long car trip, or feel detached when they are overwhelmed in some way. These experiences are usually not a cause for concern. “Our brains do a really good job of protecting ourselves,” Dr. Allerhand says. “Sometimes our brains develop strategies to protect us that are healthy, and other times they develop strategies that might work in short bursts but become less helpful if they happen too much.”

When dissociation happens often, or interferes with daily life, it may signal that a child is struggling with something more serious than ordinary, intermittent stress. “If it’s happening all the time, it’s less effective as a coping mechanism” because of the toll it can take when there is memory loss, confusion, and feeling disconnected to the self, she explains.

What does dissociation feel like?

Children and teens may describe dissociation differently. Some say they feel:

  • Like they’re in a dream
  • Emotionally numb
  • Detached from their body
  • Like they’re watching themselves in a movie
  • Like things around them aren’t real

“Kids might say they feel like a robot. Everything feels fake around them,” Dr. Allerhand says. “Younger children may not have the words to describe what they’re experiencing. Instead, parents might notice their child seems unusually quiet, unresponsive, or ‘not themselves.’”

Why do kids dissociate?

Dissociation is often linked to stress or overwhelming emotions — kids may dissociate when they feel unable to cope with what’s happening around them. “This could be a response to any sort of highly intense emotion or experience,” Dr. Allerhand says, such as:

  • Trauma
  • Anxiety or panic
  • Intense emotions
  • Depression
  • Major life changes
  • Overwhelming stress

“It’s another way of coping with stress or trauma,” says Tanvi Bahuguna, PsyD, a clinical psychologist at the Child Mind Institute who specializes in trauma and mood disorders. “There’s this psychological process that helps them disconnect from overwhelming pain.” Some kids dissociate during panic attacks or periods of intense anxiety. Children who have experienced significant adversity may be more likely to dissociate. These experiences can include:

  • Abuse
  • Neglect
  • Family instability (housing instability, domestic violence, addiction)
  • Loss of a family member, especially through violence or suicide

Still, experts are quick to note that dissociation doesn’t automatically mean a child has experienced trauma or has a serious disorder. “There are lots of exits on this highway before we’re at a dissociative disorder,” Dr. Allerhand says, adding that a full-blown dissociative disorder is very rare in children.

Mild vs. serious dissociation

It can be hard to recognize when a child is experiencing more serious dissociation because it doesn’t always look different from daydreaming or inattention. One key difference is distress. “Spacing out or not paying attention is not often experienced as distressing,” Dr. Allerhand says. Moderate or serious dissociation “is often somewhat distressing.” Kids who are daydreaming are still connected to themselves and their surroundings; kids who are experiencing more serious dissociation may feel cut off from their body, emotions, or reality altogether.

Using grounding techniques for dissociation

If you think your child may be dissociating, the most important thing you can do is not panic or try to get your child to “snap out of it.”  “The number one thing a parent can do is stay as calm as possible,” Dr. Bahuguna says. Speak gently, use short sentences, and reassure your child that they’re safe. Saying your child’s name and reminding them you’re there can help them reconnect.

Grounding techniques can also bring kids back into the present moment. One common method is called the 5-4-3-2-1 technique: Ask the child to name five things they can see, four things they can feel, three things they can hear, two things they can smell, one thing they can taste or imagine tasting. Other grounding strategies include:

  • Deep breathing
  • Squeezing a stress ball
  • Holding something cold
  • Gently moving the body

If you find your child often dissociates, Dr. Allerhand recommends helping them make a plan for it. During a calm moment, talk with your child about what they find helpful. “I noticed that this is happening. How can I help you when this is happening?” she suggests asking. Having a plan in advance makes it easier to respond in the moment — and in the meantime, stay nearby and make sure your child is safe until the episode passes.

When should parents seek help for a child who dissociates?

If dissociation is frequent, distressing, or associated with changes in your child’s functioning, seeking professional support is appropriate. “If something dissociative happens, and there’s a really big change in your child’s functioning, then I would be concerned,” Dr. Allerhand says.

Signs it may be time to reach out include:

  • Memory gaps after the episode
  • Noticeable personality changes
  • Difficulty at school
  • Withdrawal from friends or activities
  • Significant distress or confusion

A good place to start would be talking to your pediatrician, who may refer you to a mental health professional. “If your child is displaying behaviors that seem out of the ordinary, you should trust your instincts,” Dr. Allerhand says.

How to identify dissociation

To determine whether a child is dissociating, a mental health professional gathers information from multiple sources, including parents, the child, and sometimes teachers, asking about the child’s behaviors, history, and any recent stressors or changes in behavior.

“The first thing would be a structured diagnostic interview with a qualified clinician,” Dr. Allerhand explains. “Parents bring the history and describe the behavior, and then the clinician meets with the child.” Clinicians also consider whether dissociation might be a symptom of another condition, such as post-traumatic stress disorder, borderline personality disorder, anxiety (especially panic disorder), and depression.

“It’s really gathering history, meeting the child, observing the child, and figuring out what this cluster of behaviors leads to,” she says. It’s more frequent to find that dissociation is a result of another disorder than an actual dissociative disorder.

How is dissociation treated?

Treatment depends on what’s driving the dissociation. If trauma is involved, therapy may focus on helping the child process difficult experiences and build coping skills. Evidence-based approaches include trauma-focused cognitive behavioral therapy (TF-CBT) and eye movement desensitization and reprocessing (EMDR).

If anxiety or emotional overwhelm is the primary cause, treatment may focus on emotion regulation, grounding techniques, and identifying triggers and early warning signs. Therapy, such as dialectical behavior therapy (DBT), typically involves both children and parents, helping families recognize patterns and respond in supportive ways.

For more severe or persistent dissociation, treatment may happen in phases — beginning with safety and stabilization, then skill-building, and eventually, when appropriate, processing difficult experiences. “The goal is helping the child learn to cope with their experience and stay in their body,” Dr. Allerhand says.

What are dissociative disorders?

In children and teens, dissociation is usually a symptom of another condition. But in cases of very serious early trauma, abuse, or neglect, it can progress into a full-blown disorder. There are a number of dissociative disorders, including:

  • Dissociative identity disorder (what was once called multiple personality disorder) involves two or more distinct personality states and gaps in memory and is typically linked to significant early trauma. Parents who search online may find alarming information, but Dr. Allerhand says this condition is very rare in kids.
  • Dissociative amnesia involves gaps in memory that can’t be explained by ordinary forgetfulness — such as not remembering important personal information or periods of time — and is often associated with stressful or traumatic experiences.
  • Depersonalization/derealization disorder involves feeling detached from oneself, as though watching yourself from outside your body, or feeling that the world around you isn’t real.

These disorders sometimes attract media attention, but they are extremely rare in children. What’s important for parents to know is that if you see dissociative behavior in a child, it’s most likely a normal coping mechanism for a child experiencing some stress or intense emotion. If it persists, is causing distress, or is interfering with a child’s life, it’s time to consult a pediatrician or mental health professional. Identifying what might be causing the behavior is the first step to getting appropriate treatment.

Frequently Asked Questions

What is dissociation?

Dissociation is a mental disconnection from your thoughts, feelings, body, or surroundings. Kids may feel spaced out, numb, or like they’re watching themselves from the outside, as if the world doesn’t feel real.

What are common symptoms of dissociation?

Common signs include feeling detached from the body, emotionally numb, or like you’re in a dream. Some kids seem unusually quiet or “not themselves,” while others have trouble recalling what happened during that time.

What causes dissociation?

Dissociation is often a response to stress, anxiety, or overwhelming emotions. It can also be linked to trauma, major life changes (such as the sudden loss of a family member), or intense feelings the child doesn’t yet know how to manage.

How can you stop dissociating?

Grounding techniques can help bring you back to the present moment, like naming what you see, hear, and feel, or focusing on breathing. Having a plan for what you will do the next time can make it easier to manage when it happens.

The post Dissociation: Signs and Causes in Children appeared first on Child Mind Institute.

Effects of bifrontal-transcranial direct current stimulation combined with music listening on sleep quality, cortical activation and functional connectivity in patients with insomnia: a randomised controlled trial by fNIRS

BackgroundAlthough music listening and transcranial direct current stimulation (tDCS) alone have certain effects in the treatment of insomnia, the sleep regulatory effects and neural mechanisms of the combined treatment in patients with insomnia disorder (ID) are unclear. This study aimed to investigate the efficacy of combined bifrontal-tDCS (F3: anode, F4: cathode) with music listening in patients with ID using functional near-infrared spectroscopy (fNIRS).Methods76 ID patients were randomly divided into an intervention group (n=38) and a control group (n=38), and received 4 weeks of a total of 20 sessions of music + tDCS therapy and music + sham tDCS therapy (30-second stimulation with fade-in/fade-out to mimic somatic sensations), respectively. The Pittsburgh Sleep Quality Index Scale (PSQI), Self-rating Depression Scale (SDS), Self-rating Anxiety Scale (SAS), and Perceived Stress Scale (PSS-14) were compared between the two groups before and after treatment. Oxy-haemoglobin (HbO2) concentration and functional connectivity (FC) were assessed during the verbal fluency task using fNIRS.ResultsCompared with the control group, the PSQI total score (mean difference: -2.57 points, 95% CI: -4.43 to -0.71, p = 0.001), PSQI sub-scores except “sleep disturbance and daytime dysfunction”, SDS and SAS scores of the intervention group improved significantly after treatment. It was observed by fNIRS that the HbO2 concentration in the medial prefrontal cortex (mPFC), left dorsolateral prefrontal cortex (DLPFC), right ventrolateral prefrontal cortex, and right superior frontal cortex (SFC) increased significantly after treatment in the intervention group but was not superior to the control group. In addition, the FC enhancement of left SFC-left DLPFC and left SFC-mPFC after treatment was significantly better in the intervention group than in the control group, and the PSQI improvement was positively correlated with the FC enhancement of channel-averaged and left SFC-right DLPFC.ConclusionsCombining bifrontal-tDCS with music listening is more helpful in improving sleep quality and prefrontal functional connectivity in ID patients compared with music listening alone. For ID patients, music electrical stimulation headphones may be a safe, effective, and convenient new treatment strategy.Clinical trial registrationhttps://www.chictr.org.cn/, identifier ChiCTR2400086233.

PAD-S/CSA as a candidate shared representation layer for computational psychotherapy: minimal architecture and a staged validation roadmap

Psychotherapy schools often describe overlapping process phenomena in non-interoperable vocabularies. This pluralism is clinically valuable but computationally costly: datasets become difficult to compare, clinically load-bearing distinctions are collapsed into convenience labels, and artificial intelligence (AI) systems inherit annotation schemes rather than a clinically interpretable intermediate representation. Building on the Perceive–Assess–Dose–Safeguard (PAD-S) framework and the Conflict-Square Algorithm (CSA), this theory article asks a narrower question than the prior PAD-S and CSA papers: can the same variables be formulated as a candidate shared representation layer between heterogeneous observation models and school-specific intervention policies? The proposed layer projects a high-dimensional biopsychosocial state into four clinically observable process coordinates—defensive/avoidant organization (DEF), anxiety/arousal and tolerance (ANX), progression toward direct experience and action (PRO), and self-attack/shame processes (SUP)—plus a safety threshold that constrains admissible intervention intensity. The contribution is architectural rather than empirical: it isolates the representational role from earlier decision-grammar and transcript-coding roles; clarifies the distinction between observations, representation, and policy; specifies a minimal falsifiable family of state-transition models; illustrates translation across four pragmatic therapy families; and defines a staged validation order from reliability and function linkage to transcript-level predictive operationalization and only then sparse equation discovery. The framework should therefore be read as a candidate shared representation layer for computational psychotherapy and computational psychiatry rather than as a therapy protocol, a fitted predictive model, a complete generative theory, or an autonomous decision system. No new dataset, fitted classifier, transcript-level predictive result, or discovered equation is reported here. The article aims instead to state what would count for or against PAD-S/CSA as a clinically interpretable interface for later empirical modeling.

Prevalence of Cognitive Distortion Markers in a Suicide Prevention Chat Service: Mixed Methods Study

Background: Suicide helplines increasingly employ chat services to aid those in urgent need, but the wording and structure of text-driven exchanges may affect their effectiveness. Objective: Given the association of cognitive distortions with depression and anxiety, this study investigated their prevalence in the language of individuals seeking help from the Dutch 113 suicide helpline. Methods: We observed the prevalence of cognitive distortions for both help seekers and counselors in a large volume of chat sessions (N=71,148) of the Dutch 113 suicide chat helpline using natural language processing. The results were compared to 2 large collections of online text data from Dutch social media and web content. Results: We found that nearly all types of cognitive distortions are more prevalent in the language of help seekers compared to the control group of helpline counselors. Distortions of the personalizing, emotional reasoning, and mental filtering types were, respectively, 20.22, 7.87, and 4.53 times more prevalent among help seekers, revealing a distinct pattern of thought and language among individuals affected by suicidality. Conclusions: Our results raise the prospect of improving the effectiveness of online therapeutic interventions that target cognitive distortions through lexical analysis that detects the cognitive and lexical markers of suicidality.
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Safety and preliminary efficacy of Aurora: a pilot, non-randomized clinical trial of a culturally adapted digital cognitive behavioral therapy intervention for anxiety and depression in Mexico

Background/objectiveAnxiety and depressive disorders are leading causes of disability worldwide, and access to evidence-based psychological treatment remains limited in many middle-income countries. Digital cognitive–behavioral therapy (CBT) interventions have emerged as scalable tools to address this treatment gap, yet few have undergone clinical evaluation in Latin American populations. This study aimed to assess the safety and preliminary efficacy of Aurora, a Spanish-language, culturally adapted digital CBT program, when used as an adjunct to pharmacotherapy in adults with generalized anxiety disorder.MethodsIn a multicenter, open-label, non-randomized pilot study, 34 adults diagnosed with generalized anxiety disorder receiving stable pharmacological treatment were assigned through pragmatic, convenience-based allocation either to an experimental group (Aurora plus medication; n = 24) or to a control group receiving medication alone (n = 10). The sample had a mean age of 39.85 ± 12.88 years, with a predominance of women (22/34). Participants were followed for 12 weeks with assessments at baseline and weeks 4, 8, and 12. Clinical outcomes included anxiety severity measured by the Generalized Anxiety Disorder-7 (GAD-7), pathological worry assessed by the Penn State Worry Questionnaire (PSWQ), and depressive symptoms evaluated using the Patient Health Questionnaire-9 (PHQ-9). Safety was monitored through structured adverse-event reporting. Statistical analyses included linear mixed-effects models for longitudinal outcomes, ordinal logistic regression for severity transitions, and negative binomial regression and Fisher’s exact test for adverse events, with false discovery rate correction applied where appropriate.ResultsAurora demonstrated a favorable safety profile, with no serious adverse events and comparable adverse-event incidence between groups under structured clinical monitoring at weeks 4, 8, and 12. Anxiety symptoms (GAD-7) showed a significant effect of time (F3,96 = 169.65; p < 0.001), indicating reductions across both groups. Pathological worry (PSWQ) demonstrated significant group (F1,31.12 = 6.96; p = 0.013) and group × time interaction effects (F3,93.4 = 7.86; p < 0.001), with greater reductions in the Aurora group, particularly at weeks 8 and 12. At week 12, ordinal analyses indicated higher odds of lower worry severity in the intervention group (β = 2.53; p = 0.004; OR = 12.5). Depressive symptoms decreased similarly in both groups. Positive effect increased progressively across intervention modules, and module-embedded cognitive measures of anxiety and depression showed significant reductions over time.ConclusionThis pilot study provides preliminary, hypothesis-generating evidence that a culturally adapted digital CBT intervention can be safely integrated with pharmacotherapy and may be associated with enhanced improvements in anxiety-related outcomes, particularly pathological worry, in a Mexican clinical population. However, the non-randomized design, small sample size, and baseline imbalances limit causal inference and generalizability, and findings should be interpreted with caution. Larger randomized controlled trials are needed to confirm efficacy, determine long-term clinical impact, and guide the implementation of digital therapeutics in Latin American mental health systems.

Real-world effectiveness of medication-assisted treatment and psychotherapy for opioid use disorder: a national multi–health care organization analysis

BackgroundHarm reduction strategies for opioid use disorder (OUD) emphasize pragmatic, evidence-based approaches that reduce overdose risk, relapse, and other adverse outcomes without requiring abstinence. Medication for opioid use disorder (MOUD) and structured psychotherapy represent core harm-reduction modalities, yet their real-world comparative effectiveness, alone and in combination, remains underexplored at scale.MethodsA retrospective cohort study was conducted using the TriNetX Research Network, comprising de-identified electronic health records from 112 U.S. health systems. 18,047 adults aged 18–45 were identified with a diagnosis of opioid dependence (ICD-10 F11.20) between 2016 and 2025. Subjects were assigned to eight mutually exclusive treatment cohorts: no treatment (Cohort 1); buprenorphine alone (Cohort 2); methadone alone (Cohort 3); psychotherapy alone (30 minutes (Cohort 4), 45 minutes (Cohort 5), or 60 minutes (Cohort 6)); buprenorphine + psychotherapy (Cohort 7); and methadone + psychotherapy (Cohort 8), with combination treatments defined within a ±30-day window. Cox proportional hazards models estimated adjusted hazard ratios (aHRs) for remission (F11.21, F11.11) within 12 months.ResultsBuprenorphine (aHR = 2.33; 95% CI: 1.85–2.94), methadone (aHR = 2.50; 95% CI: 2.05–3.04), and psychotherapy (30 min: aHR = 2.18; 45 min: aHR = 2.38) were each independently associated with significantly higher remission compared to no treatment. The combination of buprenorphine + psychotherapy yielded the strongest effect (aHR = 5.26; 95% CI: 2.68–10.32). Anxiety diagnoses and gabapentinoid prescriptions were positively associated with remission; benzodiazepine co-prescription was negatively associated.ConclusionsIn this first national-scale, multi–health-care-organization analysis, both pharmacologic and psychosocial harm-reduction interventions were independently associated with improved OUD remission, with additive benefit when integrated. These findings underscore the value of embedding comprehensive, multimodal harm-reduction services within routine care and support policies promoting equitable access to both MOUD and behavioral health supports across diverse health systems.

Sociodemographic factors, anxiety and attitudes toward generative artificial intelligence among nurses

BackgroundAlthough generative artificial intelligence offers substantial potential benefits in healthcare, negative attitudes and elevated anxiety among nurses may hinder its effective integration into clinical practice. Evidence regarding the psychological impact of generative artificial intelligence on nurses remains limited.ObjectiveThis study examined the relationships among sociodemographic characteristics, anxiety, and attitudes toward generative artificial intelligence among nurses.MethodsA cross-sectional correlational design was employed. Data were collected from 312 hospital nurses using online questionnaires assessing sociodemographic characteristics, attitudes toward artificial intelligence, and artificial intelligence-related anxiety. Data were analyzed using IBM Statistical Package for the Social Sciences (SPSS) Statistics software version 28.ResultsHigher levels of artificial intelligence-related anxiety were associated with less favorable attitudes toward artificial intelligence. Sociodemographic characteristics and anxiety scores collectively explained 49.4% of the total variance in attitudes toward artificial intelligence. Gender, experience with artificial intelligence, use of artificial intelligence in nursing care, awareness of artificial intelligence applications in healthcare, hours spent on the internet, age, and professional experience accounted for 24.7% of the variance in negative attitudes toward generative artificial intelligence.ConclusionAnxiety and experiential factors play a central role in shaping nurses’ attitudes toward generative artificial intelligence. Increasing nurses’ exposure to and awareness of artificial intelligence in nursing practice may reduce anxiety and support its acceptance and appropriate use.

Enhancing Sleep and Mental Health: Longitudinal, Observational, Real-World Study From a Digital Mental Health Platform

Background: Poor sleep is closely linked to mental health challenges and workplace burnout. Mental health and workplace stressors can impair sleep, while good sleep quality supports cognitive and emotional resources to cope with daily challenges. Despite positive outcomes of maintaining good sleep, many people struggle to get enough restorative sleep at night. Given the bidirectional relationship between sleep and mental health, evidence-based digital mental health solutions may offer an accessible and scalable approach to improving sleep quality. Objective: This study examines whether engagement with an employer-sponsored, multimodal digital mental health platform is associated with improvements in sleep quality over time, and whether changes in sleep quality are associated with concurrent changes in mental health and burnout outcomes. Methods: This 12-month prospective, observational study followed working adults who were newly registered to an employer-sponsored digital mental health platform (Modern Health). The platform leveraged technology (mobile and web) to connect employees with comprehensive provider-led and self-guided care through therapy, coaching, on-demand digital resources, and group psychoeducational sessions. Participants [N=578; 61.1% (n=353) women; mean age 33.88, SD 8.73 years; 40.3% (n=233) people of color] completed measures of self-rated sleep quality, depression, anxiety, and burnout (exhaustion, cynicism, and professional efficacy) at baseline and after 3 and 12 months of accessing the platform. Upon registering for the platform, participants were given an initial care recommendation, but could flexibly engage in any combination of services. Participants in this study engaged with at least one care modality, including therapy, coaching, psychoeducation sessions, and self-guided mental health resources. We examined perceived sleep quality and associations with other study variables at baseline, changes in perceived sleep quality over time, and whether changes in sleep quality correlated with concurrent changes in mental health and burnout. Results: At baseline, 42% (243/578) reported poor sleep quality and were more likely to have higher levels of depression, anxiety, and burnout. A generalized linear mixed-effects model showed that each additional month of platform access was related to an increased odds of having good sleep quality by 3.7% (=.02). Linear mixed-effects models found that higher sleep quality over time was associated with lower depression, anxiety, exhaustion, cynicism, and efficacy (all <.001). Among participants reporting poor sleep quality at baseline, 44% (62/141) reported good sleep quality at 12 months. Within this subgroup, paired sample tests showed significant reductions in depression (−48.3%) and anxiety (−38.3%), and increased cynicism, burnout, though cynicism levels remained below the cutoff for high burnout (23.9%; all <.01). Conclusions: Use of an employer-sponsored digital mental health platform was associated with meaningful improvements in self-reported sleep quality over 12 months. These gains were associated with significant reductions in depression, anxiety, and burnout symptoms, highlighting broader well-being benefits of comprehensive mental health care.

Comparing Perceptions of ChatGPT Use in Health Attitude Contexts Among Users and Nonusers: Cross-Sectional Study

Background: In light of the growing use of artificial intelligence (AI) in health care, individuals’ access to and use of health information are transforming. ChatGPT, an AI chatbot, provides immediate responses to health queries, with the potential to influence health-related attitudes, thereby raising concerns related to privacy, reliability, and security. Objective: This study aimed to investigate the perceived usefulness, risks, anxiety, and social influence of ChatGPT on health attitudes among users and nonusers in Saudi Arabia. Methods: A cross-sectional study was conducted using an online survey based on a validated tool. In total, 337 participants aged 18 years and older responded to questions assessing their perceptions of ChatGPT on health-related attitudes. Results: Data showed that 76.1% (194/255) of the respondents used ChatGPT, with the majority being younger and more highly educated. The main uses for health-related purposes were health education (43/194, 22.2%) and physical activity guidance (31/194, 16%). The analysis showed that users considered ChatGPT useful for health-related decisions, with 45.9% (89/194) finding it easy to learn and use, but concerns about privacy (106/194, 54.7%) and reliability (87/194, 44.9%) remained. Among nonusers, security risks (39/61, 63.9%) were the major barrier to using AI-based tools for health purposes, and 68.9% (42/61) found such tools attractive and engaging. There were no statistically significant differences between users and nonusers across all examined sociodemographic characteristics (>.05). Conclusions: The study established the potential of ChatGPT in improving health decision-making and revealed cultural, privacy, and trust issues that may affect its implementation. These findings underscore the importance of strengthening the security of AI-based applications to enhance public acceptability of related health policies and to support the safe integration of tools such as ChatGPT into the health care system.