File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: The association between coffee consumption and metabolic syndrome in adults: a systematic review and meta-analysis

TitleThe association between coffee consumption and metabolic syndrome in adults: a systematic review and meta-analysis
Authors
Keywordscoffee
metabolic syndrome
adult
Asian
Caucasian
Issue Date2020
PublisherOxford University Press, published in association with American Society for Nutrition. The Journal's web site is located at http://advances.nutrition.org
Citation
Advances in Nutrition, 2020, Epub 2020-10-28 How to Cite?
AbstractPrevious meta-analyses that found an inverse association between coffee consumption and metabolic syndrome pooled data from cross-sectional and longitudinal studies, which could lead to potentially misleading conclusions. Hence, this work aimed to reassess this association by analyzing data from the 2 types of studies separately and including recent studies. Online databases including PubMed, Scopus, Embase, The Cumulative Index to Nursing and Allied Health Literature (CINAHL) Plus, and Science Direct were searched for relevant studies published up to July 2020. Both cross-sectional and longitudinal studies were included if published after 1999, reported both effect estimates and CIs, and presented results adjusted for confounding variables. Data of the highest coffee consumption level in each study, as well as those of medium consumption levels in studies with ≥3 consumption categories, were pooled using random-effect models, with sex-stratified and sex-adjusted results being analyzed separately. Results were obtained based on data from 13 cross-sectional studies involving 280,803 participants and 2 longitudinal studies involving 17,014 participants. The overall sex-adjusted association of the highest consumption level was not significant (n = 9 studies; OR: 0.88; 95% CI: 0.70, 1.10; I2: 91.5%) and the 2 longitudinal studies both yielded no association. Subgroup analysis revealed inverse associations in both males and females, as well as in Caucasians with medium coffee consumption (n = 4 studies, OR: 0.88; 95% CI: 0.84, 0.93; I2: 0%). Although residual confounding could affect the results of this meta-analysis, our findings suggested with a low certainty that coffee consumption may not be associated with metabolic syndrome, a finding that is different from those of previous meta-analyses and could be due to variation in characteristics of study participants. More longitudinal studies are also needed to further assess the temporal association between coffee consumption and metabolic syndrome. This meta-analysis was registered at https://www.crd.york.ac.uk/prospero as CRD42018110650.
Persistent Identifierhttp://hdl.handle.net/10722/288459
ISSN
2021 Impact Factor: 11.567
2020 SCImago Journal Rankings: 2.362
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorWONG, THT-
dc.contributor.authorWong, CH-
dc.contributor.authorZHANG, X-
dc.contributor.authorZHOU, Y-
dc.contributor.authorXu, J-
dc.contributor.authorYuen, KC-
dc.contributor.authorWan, JMF-
dc.contributor.authorLouie, JCY-
dc.date.accessioned2020-10-05T12:13:13Z-
dc.date.available2020-10-05T12:13:13Z-
dc.date.issued2020-
dc.identifier.citationAdvances in Nutrition, 2020, Epub 2020-10-28-
dc.identifier.issn2161-8313-
dc.identifier.urihttp://hdl.handle.net/10722/288459-
dc.description.abstractPrevious meta-analyses that found an inverse association between coffee consumption and metabolic syndrome pooled data from cross-sectional and longitudinal studies, which could lead to potentially misleading conclusions. Hence, this work aimed to reassess this association by analyzing data from the 2 types of studies separately and including recent studies. Online databases including PubMed, Scopus, Embase, The Cumulative Index to Nursing and Allied Health Literature (CINAHL) Plus, and Science Direct were searched for relevant studies published up to July 2020. Both cross-sectional and longitudinal studies were included if published after 1999, reported both effect estimates and CIs, and presented results adjusted for confounding variables. Data of the highest coffee consumption level in each study, as well as those of medium consumption levels in studies with ≥3 consumption categories, were pooled using random-effect models, with sex-stratified and sex-adjusted results being analyzed separately. Results were obtained based on data from 13 cross-sectional studies involving 280,803 participants and 2 longitudinal studies involving 17,014 participants. The overall sex-adjusted association of the highest consumption level was not significant (n = 9 studies; OR: 0.88; 95% CI: 0.70, 1.10; I2: 91.5%) and the 2 longitudinal studies both yielded no association. Subgroup analysis revealed inverse associations in both males and females, as well as in Caucasians with medium coffee consumption (n = 4 studies, OR: 0.88; 95% CI: 0.84, 0.93; I2: 0%). Although residual confounding could affect the results of this meta-analysis, our findings suggested with a low certainty that coffee consumption may not be associated with metabolic syndrome, a finding that is different from those of previous meta-analyses and could be due to variation in characteristics of study participants. More longitudinal studies are also needed to further assess the temporal association between coffee consumption and metabolic syndrome. This meta-analysis was registered at https://www.crd.york.ac.uk/prospero as CRD42018110650.-
dc.languageeng-
dc.publisherOxford University Press, published in association with American Society for Nutrition. The Journal's web site is located at http://advances.nutrition.org-
dc.relation.ispartofAdvances in Nutrition-
dc.rightsThis is a pre-copyedited, author-produced version of an article accepted for publication in [insert journal title] following peer review. The version of record [insert complete citation information here] is available online at: xxxxxxx [insert URL and DOI of the article on the OUP website].-
dc.subjectcoffee-
dc.subjectmetabolic syndrome-
dc.subjectadult-
dc.subjectAsian-
dc.subjectCaucasian-
dc.titleThe association between coffee consumption and metabolic syndrome in adults: a systematic review and meta-analysis-
dc.typeArticle-
dc.identifier.emailXu, J: xujf@hku.hk-
dc.identifier.emailYuen, KC: kcyuen@hku.hk-
dc.identifier.emailWan, JMF: jmfwan@hku.hk-
dc.identifier.emailLouie, JCY: jimmyl@hku.hk-
dc.identifier.authorityXu, J=rp02086-
dc.identifier.authorityYuen, KC=rp00836-
dc.identifier.authorityWan, JMF=rp00798-
dc.identifier.authorityLouie, JCY=rp02118-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1093/advances/nmaa132-
dc.identifier.pmid33118010-
dc.identifier.scopuseid_2-s2.0-85107390688-
dc.identifier.hkuros314732-
dc.identifier.volumeEpub 2020-10-28-
dc.identifier.isiWOS:000661465200012-
dc.publisher.placeUnited States-
dc.identifier.issnl2161-8313-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats