Tuesday, October 20, 2026
Science
No Result
View All Result
  • Login
  • HOME
  • SCIENCE NEWS
  • CONTACT US
  • HOME
  • SCIENCE NEWS
  • CONTACT US
No Result
View All Result
Scienmag
No Result
View All Result
Home Science News Psychology & Psychiatry

Metabolic syndrome found in 51.5% of anxiety-disorder outpatients

October 20, 2026
in Psychology & Psychiatry
Glenn Wilkins
By Glenn Wilkins Scienmag Editorial Profile - Clinical Psychology
Reading Time: 3 mins read
0
Metabolic syndrome found in 51.5% of anxiety-disorder outpatients

Metabolic syndrome found in 51.5% of anxiety-disorder outpatients

65
SHARES
587
VIEWS
Share on FacebookShare on Twitter
ADVERTISEMENT

Metabolic syndrome was present in 51.5% of 375 outpatients with anxiety disorders assessed in a cross-sectional clinical study in Rasht, Iran. The participants attended two psychiatric clinics during 2024–2025, and the findings provide a snapshot of cardiometabolic health within this clinical population rather than evidence that anxiety disorders caused the metabolic abnormalities. The study also found that the cardiometabolic index, or CMI, had good ability to distinguish participants who met the study’s criteria for metabolic syndrome from those who did not.

Participants had a mean age of 49.0 years with a standard deviation of 13.5 years, and 79.2% were female. Researchers defined metabolic syndrome according to the National Cholesterol Education Program Adult Treatment Panel III criteria. They calculated CMI using the ratio of triglycerides to high-density lipoprotein cholesterol together with the ratio of waist circumference to height. Sleep quality was assessed with the Pittsburgh Sleep Quality Index, and physical activity was measured with the International Physical Activity Questionnaire. Hierarchical logistic regression examined factors associated with metabolic syndrome, hierarchical linear regression examined factors associated with CMI, and receiver operating characteristic analysis evaluated CMI’s ability to discriminate metabolic syndrome.

Older age was associated with higher odds of metabolic syndrome. For each additional year of age, the reported odds ratio was 1.061, with a 95% confidence interval of 1.034–1.088. Poorer sleep quality was also associated with greater odds, with an odds ratio of 1.250 and a 95% confidence interval of 1.152–1.356. Higher education was associated with lower odds of metabolic syndrome, producing an odds ratio of 0.408 and a 95% confidence interval of 0.204–0.818. These results describe associations observed at one point in time. They do not show that age, sleep quality or education directly produced metabolic syndrome, and the cross-sectional design cannot establish the duration of the condition or whether metabolic status changed over time.

For the continuous CMI measure, higher fasting blood glucose was associated with a higher index, with a regression coefficient of 0.190 and a p-value of 0.001. Poorer sleep quality was associated with a higher CMI as well, with a coefficient of 0.122 and a p-value of 0.028. CMI achieved an area under the receiver operating characteristic curve of 0.839, with a 95% confidence interval of 0.798–0.881, indicating good discrimination between participants with and without metabolic syndrome in this sample. A CMI cutoff of 0.845 derived using the Youden index produced 82.4% sensitivity and 75.8% specificity. That performance requires caution because CMI contains components that overlap with the criteria used to define metabolic syndrome, which may increase its apparent classification ability.

The scope of the results is limited by the cross-sectional design, the recruitment of participants from two clinics in a single Iranian city, and the predominantly female sample. The findings therefore may not represent all people with anxiety disorders, particularly those who do not attend psychiatric outpatient services. The observed associations and the CMI cutoff also require evaluation in longitudinal cohorts and independent external populations before they can be generalized. The authors called for further longitudinal and external validation studies rather than presenting the results as evidence of a causal relationship or as a tested clinical strategy.

Subject of Research: Metabolic syndrome and cardiometabolic index among outpatients with anxiety disorders

Article Title: Metabolic syndrome and cardiometabolic index among patients with anxiety disorders: a cross-sectional clinical study

Article References: Khalkhali Sharifi, P., Khalkhali, M., Farrahi, H., Mehrdad, S. M., & Atrkarroushan, Z. (2026). Metabolic syndrome and cardiometabolic index among patients with anxiety disorders: a cross-sectional clinical study. BMC Psychiatry. https://doi.org/10.1186/s12888-026-08769-5

Image Credits: AI Generated

DOI: 10.1186/s12888-026-08769-5

Keywords: anxiety disorders, metabolic syndrome, cardiometabolic index, sleep quality, outpatient psychiatry, fasting blood glucose, cross-sectional study, Iran, Metabolic, syndrome, cardiometabolic, index

Cite Scienmag News

Glenn Wilkins. (October 20, 2026). Metabolic syndrome found in 51.5% of anxiety-disorder outpatients. Scienmag. https://scienmag.com/metabolic-syndrome-found-in-51-5-of-anxiety-disorder-outpatients/

Glenn Wilkins. "Metabolic syndrome found in 51.5% of anxiety-disorder outpatients." Scienmag, 20 October 2026, https://scienmag.com/metabolic-syndrome-found-in-51-5-of-anxiety-disorder-outpatients/. Accessed 20 October 2026.

Glenn Wilkins. "Metabolic syndrome found in 51.5% of anxiety-disorder outpatients." Scienmag. October 20, 2026. https://scienmag.com/metabolic-syndrome-found-in-51-5-of-anxiety-disorder-outpatients/

Tags: age-related metabolic risk in psychiatric outpatientsAnxiety Disorderscardiometaboliccardiometabolic health in psychiatric populationscardiometabolic indexcross-sectional studycross-sectional study on metabolic risk factorsdemographic factors influencing metabolic syndromediagnostic accuracy of CMI for metabolic syndromefasting blood glucosegender differences in metabolic health among anxiety patientsindexIranIranian outpatient mental health studymetabolicmetabolic syndromemetabolic syndrome assessment using Cardiometabolic IndexMetabolic syndrome prevalence in anxiety disorder outpatientsoutpatient psychiatryrelationship between anxiety disorders and cardiometabolicsleep qualitysleep quality and physical activity in anxiety disorderssyndromeuse of ROC analysis in metabolic syndrome research
Share26Tweet16
Previous Post

Qualitative study finds conditional openness to donor milk among postnatal mothers

Next Post

MFGCN machine-learning model outperforms baselines in global enterprise financial-crisis warning study

Related Posts

Resilience Runs High Among Saudi Nurses, but Happiness Tells a Different Story
Psychology & Psychiatry

Cross-sectional Saudi hospital study links nurses’ resilience with happiness, but not life satisfaction

October 20, 2026
Objective Sleep Tracking Reveals Which Middle-Aged Workers Face the Greatest Psychological Distress
Psychology & Psychiatry

Cross-sectional Shika study links poorer sleep efficiency with distress only among working older women

October 20, 2026
Sleep Education Classes Fail to Help New Mothers Rest Better in Rigorous Trial
Psychology & Psychiatry

Impact of sleep health education on sleep quality among mothers of infants under one year: a randomized controlled trial

October 20, 2026
Friendships May Drive Exercise Habits in Sedentary Students, but Not Equally for Men and Women
Psychology & Psychiatry

Cross-sectional study finds gender differences in links among peer attachment, exercise motivation and habits in sedentary university students

October 20, 2026
Survey links face concerns to workplace deception in Chinese workplaces
Psychology & Psychiatry

Survey links face concerns to workplace deception in Chinese workplaces

October 20, 2026
Mindfulness program eases depression and anxiety, but pain evidence remains uncertain
Psychology & Psychiatry

Mindfulness program eases depression and anxiety, but pain evidence remains uncertain

October 20, 2026
Next Post
AI Model Reads Supply Chains and News to Predict Corporate Financial Crises

MFGCN machine-learning model outperforms baselines in global enterprise financial-crisis warning study

  • Mothers who receive childcare support from maternal grandparents show more optimized

    Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study

    27656 shares
    Share 11059 Tweet 6912
  • University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept

    1061 shares
    Share 424 Tweet 265
  • Bee body mass, pathogens and local climate influence heat tolerance

    682 shares
    Share 273 Tweet 171
  • Researchers record first-ever images and data of a shark experiencing a boat strike

    546 shares
    Share 218 Tweet 137
  • Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function

    531 shares
    Share 212 Tweet 133
Science

Embark on a thrilling journey of discovery with Scienmag.com—your ultimate source for cutting-edge breakthroughs. Immerse yourself in a world where curiosity knows no limits and tomorrow’s possibilities become today’s reality!

RECENT NEWS

  • Satellite study links Grain for Green afforestation on China’s Loess Plateau to carbon gains and water pressures
  • Simulated wireless-channel tests show CLEAR improves image reconstruction under fading, Doppler shift and phase noise
  • Multicenter cohort links temperature recovery trajectories, not active rewarming, with outcomes in hypothermic sepsis
  • Combined organic biostimulants boost lavender growth and oil yield in greenhouse sandy-soil trial

Categories

  • Agriculture
  • Anthropology
  • Archaeology
  • Athmospheric
  • Biology
  • Biotechnology
  • Blog
  • Bussines
  • Cancer
  • Chemistry
  • Climate
  • Earth Science
  • Editorial Policy
  • Marine
  • Mathematics
  • Medicine
  • Pediatry
  • Policy
  • Psychology & Psychiatry
  • Science Education
  • Science News
  • Social Science
  • Space
  • Technology and Engineering

Subscribe to Blog via Email

Enter your email address to subscribe to this blog and receive notifications of new posts by email.

Join 5,150 other subscribers

© 2025 Scienmag - Science Magazine

Welcome Back!

Login to your account below

Forgotten Password?

Retrieve your password

Please enter your username or email address to reset your password.

Log In
No Result
View All Result
  • HOME
  • SCIENCE NEWS
  • CONTACT US

© 2025 Scienmag - Science Magazine

Discover more from Science

Subscribe now to keep reading and get access to the full archive.

Continue reading