The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
Prevalence and trends of metabolic syndrome among adults in the asia-pacific region: a systematic review
Open accessAbstract
BACKGROUND: The Asia-Pacific region is home to nearly half of the world's population. The region has seen a recent rapid increase in the prevalence of obesity, type-2 diabetes and cardiovascular disease. The present systematic review summarizes the recent prevalence and trends of Metabolic Syndrome (MetS) among adults in countries of the Asia-Pacific Region. METHODS: Data on MetS in Asia-Pacific countries were obtained using a stepwise process by searching the online Medline database using MeSH terms 'Metabolic Syndrome X' and 'Epidemiology/EP'. For the purpose of describing prevalence data for the individual countries, studies that were most recent, nationally representative or with the largest sample size were included. When evaluating secular trends in prevalence in a country we only considered studies that evaluated the temporal change in prevalence between similar populations, prospective studies based on the same population or National surveys conducted during different time periods. RESULTS: This literature search yielded a total of 757 articles, and five additional article were identified by screening of reference lists. From this total, 18 studies were eligible to be included in the final analysis. Of the 51 Asia-Pacific countries (WHO) we only located data for 15. There was wide between country variation in prevalence of MetS. A national survey from Philippines conducted in 2003 revealed the lowest reported prevalence of 11.9% according to NCEP ATP III criteria. In contrast, the highest recorded prevalence in the region (49.0%) came from a study conducted in urban Pakistan (Karachchi, 2004). Most studies reported a higher prevalence of MetS in females and urban residents. Data on secular trends were available for China, South Korea and Taiwan. An increase in the prevalence of MetS was observed in all three countries. CONCLUSION: Despite differences in methodology, diagnostic criteria and age of subjects studied, the Asia-Pacific region is facing a significant epidemic of MetS. In most countries nearly 1/5th of the adult population or more were affected by MetS with a secular increase in prevalence. Strategies aimed at primary prevention are required to ameliorate a further increase in the epidemic and for the reduction of the morbidity and mortality associated with MetS.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
International Diabetes Federation 2017
Carracher, A. M., Marathe, P. H., & Close, K. L. (2018) · Journal of Diabetes · doi:10.1111/1753-0407.12644 · Cited by 13,418
Role of Insulin Resistance in Human Disease
Reaven, G. M. (1988) · Diabetes · doi:10.2337/diab.37.12.1595 · Cited by 12,154
Grundy, S. M., Cleeman, J. I., Daniels, S. R., Donato, K. A., Eckel, R. H., Franklin, B. A., Gordon, D. J., Krauss, R. M., Savage, P. J., Smith, S. C., et al. (2005) · Circulation · doi:10.1161/circulationaha.105.169404 · Cited by 11,961
The metabolic phenotype in obesity: Fat mass, body fat distribution, and adipose tissue function
Goossens, G. H. (2017) · Obesity Facts · doi:10.1159/000471488 · Cited by 8,481
Ford, E. S., Giles, W. H., & Dietz, W. H. (2002) · JAMA · doi:10.1001/jama.287.3.356 · Cited by 6,698
Global and societal implications of the diabetes epidemic
Zimmet, P., Alberti, K. G. M. M., & Shaw, J. (2001) · Nature · doi:10.1038/414782a · Cited by 5,883
DeFronzo, R. A., & Ferrannini, E. (1991) · Diabetes Care · doi:10.2337/diacare.14.3.173 · Cited by 4,535
Cornier, M.-A., Dabelea, D., Hernandez, T. L., Lindstrom, R. C., Steig, A. J., Stob, N. R., Van Pelt, R. E., Wang, H., & Eckel, R. H. (2008) · Endocrine Reviews · doi:10.1210/er.2008-0024 · Cited by 2,162
Grundy, S. M., Cleeman, J. I., Daniels, S. R., Donato, K. A., Eckel, R. H., Franklin, B. A., Gordon, D. J., Krauss, R. M., Savage, P. J., Smith, S. C., et al. (2005) · Cardiology in Review · doi:10.1097/01.crd.0000380842.14048.7e · Cited by 1,600
Metabolic syndrome: definitions and controversies
Kassi, E., Pervanidou, P., Kaltsas, G., & Chrousos, G. (2011) · BMC Medicine · doi:10.1186/1741-7015-9-48 · Cited by 1,565 · cited 2×
“However, it is generally accepted that no matter which criteria are used, the prevalence of MetS is high and rising in most counties as a result of the obesity epidemic [41].”
Background
Cited by
Elmets, C. A., Leonardi, C. L., Davis, D. M. R., Gelfand, J. M., Lichten, J., Mehta, N. N., Armstrong, A. W., Connor, C., Cordoro, K. M., Elewski, B. E., et al. (2019) · Journal of the American Academy of Dermatology · doi:10.1016/j.jaad.2018.11.058 · Cited by 503
Current Trends of Bioactive Peptides—New Sources and Therapeutic Effect
Jakubczyk, A., Karaś, M., Rybczyńska-Tkaczyk, K., Zielińska, E., & Zieliński, D. (2020) · Foods · doi:10.3390/foods9070846 · Cited by 253
Environmental pollution and the risk of developing metabolic disorders: obesity and diabetes
Khalil, W. J., Akeblersane, M., Khan, A. S., Moin, A. S. M., & Butler, A. E. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24108870 · Cited by 95
Pathirana, M. M., Ali, A., Lassi, Z. S., Arstall, M. A., Roberts, C. T., & Andraweera, P. H. (2022) · Journal of Human Lactation · doi:10.1177/08903344211034779 · Cited by 29
Hasbullah, F. Y., Mohd Yusof, B.-N., Abdul Ghani, R., Mat Daud, Z. ‘., Appannah, G., Abas, F., & Shyam, S. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph192416797 · Cited by 4
Metadata
- Authors
- Ranasinghe, P., Mathangasinghe, Y., Jayawardena, R., Hills, A. P., & Misra, A.
- Venue
- BMC Public Health
- Published
- 2017-01-21
- Volume
- 17
- Issue
- 1
- Pages
- 101-101
- ISSN
- 1471-2458 (ISSN-L)
- OpenAlex
- W2579609537
- Cited by
- 746
- References
- 48
- FWCI
- 10.73
- Type
- journal article
- Language
- en
- Open access
- gold
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Prevalence and trends of metabolic syndrome among adults in the asia-pacific region: a systematic review. https://app.cochat.ai/papers/10.1186/s12889-017-4041-1
- The paper
- Ranasinghe, P., Mathangasinghe, Y., Jayawardena, R., Hills, A. P., & Misra, A. (2017). Prevalence and trends of metabolic syndrome among adults in the asia-pacific region: a systematic review. BMC Public Health. https://doi.org/10.1186/s12889-017-4041-1
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.