The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
Association between anxiety and metabolic syndrome: A systematic review and meta-analysis of epidemiological studies
Abstract
Objective Epidemiological studies have repeatedly investigated the association between anxiety and metabolic syndrome (MetS). However, the results have been inconsistent. We performed a meta-analysis of observational studies to summarize the evidence regarding the relation of anxiety and MetS risk.Methods We performed a systematic literature search of all studies published in PubMed and EMBASE from its inception to June 2016. Cross-sectional and cohort studies that reported an association between the two conditions in adults were included. Data on prevalence, incidence, unadjusted or adjusted odds ratio (OR), and 95% CI were extracted or provided independently by the authors. Random effects model was used to report the pooled OR. The I 2 statistic was used to assess heterogeneity. Egger's test and Begger's test were used to evaluate the publication bias.Results The search yielded 18 cross-sectional studies and two cohort studies. The pooled finding from cross-sectional studies showed that anxiety had a significant positive association with MetS (OR 1.07, 95% CI 1.01-1.12), with moderate heterogeneity (I 2=45.7%, P=0.018). Findings from two cohort studies indicated that the association between anxiety and MetS was insignificant.Conclusion Our results suggest that there is an association between anxiety and MetS. In individuals with MetS anxiety should be detected and managed. Further prospective studies are needed to explore the bidirectional association between anxiety and MetS.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“The odds of developing major depressive disorder (MDD) and anxiety increase as a function of the number of coexisting metabolic impairments, such as those characteristic of metabolic syndrome [3,4].”
From The menace of obesity to depression and anxiety prevalence (2022) · cites this paper as [4]
Citations
Cites
Meta-analysis of Observational Studies in Epidemiology<SUBTITLE>A Proposal for Reporting</SUBTITLE>
Stroup, D. F. (2000) · JAMA · doi:10.1001/jama.283.15.2008 · Cited by 20,623
Kessler, R. C., Berglund, P., Demler, O., Jin, R., Merikangas, K. R., & Walters, E. E. (2005) · Archives of General Psychiatry · doi:10.1001/archpsyc.62.6.593 · Cited by 20,391
Liberati, A., Altman, D. G., Tetzlaff, J., Mulrow, C., Gotzsche, P. C., Ioannidis, J. P. A., Clarke, M., Devereaux, P. J., Kleijnen, J., & Moher, D. (2009) · BMJ · doi:10.1136/bmj.b2700 · Cited by 17,648
The metabolic syndrome and total and cardiovascular disease mortality in middle-aged men
Lakka, H.-M. (2002) · JAMA · doi:10.1001/jama.288.21.2709 · Cited by 5,033
Global prevalence of anxiety disorders: a systematic review and meta-regression
Baxter, A. J., Scott, K. M., Vos, T., & Whiteford, H. A. (2013) · Psychological Medicine · doi:10.1017/s003329171200147x · Cited by 1,537
Association of Mental Disorders With Subsequent Chronic Physical Conditions
Scott, K., Lim, C., Al-Hamzawi, A., Alonso, J., Bruffaerts, R., Caldas-de-Almeida, J., Florescu, S., de Girolamo, G., Hu, C.-Y., de Jonge, P., et al. (2015) · JAMA psychiatry · doi:10.1001/jamapsychiatry.2015.2688 · Cited by 553
Brunner, E. J., Hemingway, H., Walker, B. R., Page, M., Clarke, P., Juneja, M., Shipley, M. J., Kumari, M., Andrew, R., Seckl, J. R., et al. (2002) · Circulation · doi:10.1161/01.cir.0000038364.26310.bd · Cited by 539
Hillebrand, S., Gast, K. B., de Mutsert, R., Swenne, C. A., Jukema, J. W., Middeldorp, S., Rosendaal, F. R., & Dekkers, O. M. (2013) · EP Europace · doi:10.1093/europace/eus341 · Cited by 515
Merikangas, K. R., Ames, M., Cui, L., Stang, P. E., Ustun, T. B., Von Korff, M., & Kessler, R. C. (2007) · Archives of General Psychiatry · doi:10.1001/archpsyc.64.10.1180 · Cited by 464
Metabolic syndrome across Europe: Different clusters of risk factors
Scuteri, A., Laurent, S., Cucca, F., Cockcroft, J., Cunha, P., Rodríguez‐Mañas, L., Mattace-Raso, F. U. S., Muiesan, M. L., Ryliškytė, L., Rietzschel, E. R., et al. (2014) · European Journal of Preventive Cardiology · doi:10.1177/2047487314525529 · Cited by 391
Cited by
Sorted by citations
Firth, J., Siddiqi, N., Koyanagi, A., Siskind, D., Rosenbaum, S., Galletly, C., Allan, S., Caneo, C., Carney, R., Carvalho, A. F., et al. (2019) · The Lancet Psychiatry · doi:10.1016/s2215-0366(19)30132-4 · Cited by 1,531
Metabolic syndrome in psychiatric patients: overview, mechanisms, and implications
Penninx, B. W. J. H., & Lange, S. M. M. (2018) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2018.20.1/bpenninx · Cited by 566
The menace of obesity to depression and anxiety prevalence
Fulton, S., Décarie-Spain, L., Fioramonti, X., Guiard, B., & Nakajima, S. (2022) · Trends in Endocrinology & Metabolism · doi:10.1016/j.tem.2021.10.005 · Cited by 441
“The odds of developing major depressive disorder (MDD) and anxiety increase as a function of the number of coexisting metabolic impairments, such as those characteristic of metabolic syndrome [3,4].”
BackgroundDepression profilers and immuno-metabolic dysregulation: Longitudinal results from the NESDA study
Lamers, F., Milaneschi, Y., Vinkers, C. H., Schoevers, R. A., Giltay, E. J., & Penninx, B. W. J. H. (2020) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2020.04.002 · Cited by 161
The Role of the Rodent Insula in Anxiety
Méndez-Ruette, M., Linsambarth, S., Moraga‐Amaro, R., Quintana-Donoso, D., Méndez, L., Tamburini, G., Cornejo, F., Torres, R. F., & Stehberg, J. (2019) · Frontiers in Physiology · doi:10.3389/fphys.2019.00330 · Cited by 96
Metadata
- Authors
- Tang, F., Wang, G., & Lian, Y.
- Affiliations
- Shandong University (CN)
- Fourth People’s Hospital of Jinan (CN)
- Corresponding author
- Lian, Ying
- Venue
- Psychoneuroendocrinology
- Publisher
- Elsevier BV
- Published
- 2017-03
- Volume
- 77
- Pages
- 112-121
- ISSN
- 0306-4530 (ISSN-L)
- OpenAlex
- W2558935924
- Cited by
- 117
- References
- 49
- Citations by year
- 2026: 4 · 2025: 9 · 2024: 16 · 2023: 21 · 2022: 18 · 2021: 24 · 2020: 11 · 2019: 4 · 2018: 8 · 2017: 2
- FWCI
- 0.69
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Psychoneuroendocrinology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac Health and Mental Health
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Adipokines, Inflammation, and Metabolic Diseases
- Keywords
- anxiety, metabolic syndrome, psychological stress, cardiovascular risk factors, bidirectional relationship, prevalence, incidence
- MeSH terms
- Anxiety, Anxiety Disorders, Humans, Comorbidity, Prevalence, Metabolic Syndrome
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
