ArticleScientific reports2022
Identifying high-risk population of depression: association between metabolic syndrome and depression using a health checkup and claims database.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 12 citations in OpenAlex.
- Impact of Multimorbidity on Mental Illness in the United Arab Emirates: A Review.Journal of multidisciplinary healthcare · 2026Review
- Assessment of the Representation of Civil Servants as the General Population in Terms of Health Checkup Data.Cureus · 2025Article
- Mitochondrial Energy Transformation Capacity Influences Brain Activation During Sensory, Affective, and Cognitive Tasks.bioRxiv : the preprint server for biology · 2025Article
- Association between metabolic syndrome and risk of incident low back pain: A retrospective cohort study using real-world data from Japan.Preventive medicine reports · 2025Article
- Chronic Obstructive Pulmonary Disease and Metabolic Syndrome: A Maltese Study on Biomarkers and Clinical Implications.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025Article
- Metabolic syndrome and depression: evidence from a cross-sectional study of real-world data in Japan.Environmental health and preventive medicine · 2024Article
- Effects of Metabolic Syndrome and Sex on Stress Coping Strategies in Individuals with Depressive Disorder.Metabolites · 2023Article
- Chronic stress, neuroinflammation, and depression: an overview of pathophysiological mechanisms and emerging anti-inflammatories.Frontiers in psychiatry · 2023Review
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Depression and metabolic syndrome (MetS) are correlated, leading to an increased healthcare burden and decreased productivity. We aimed to investigate the association between MetS-related factors and depression using a health checkup and claims database. Individuals aged 18-75 years who underwent health examinations between 2014 and 2019 were enrolled in the study. Among 76,277 participants, "ever" and "incident" antidepressant users exhibited worse metabolic profiles and were more likely to be prescribed hypnotics and anxiolytics than "never" users. In a nested case-control study with a 1:10 ratio of incident users to controls, MetS was associated with incident antidepressant use (odds ratio, 1.53 [95% confidence interval 1.24-1.88]) adjusted for lifestyle information obtained from a self-administered questionnaire, medical history, and medications. Other metabolic traits also showed significant associations: body mass index (1.04 [1.02-1.06]), abdominal circumference per 10 cm (1.17 [1.08-1.27]), high blood pressure (1.17 [1.00-1.37]), glucose intolerance (1.29 [1.05-1.58]), and dyslipidemia (1.27 [1.08-1.51]). A bodyweight increase > 10 kg from age 20 years (1.46 [1.25-1.70]) was also significantly associated with incident antidepressant use. In conclusion, metabolic abnormalities were associated with incident antidepressant use and can be useful in identifying populations at high risk of depression.
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