{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,25]],"date-time":"2026-09-25T18:30:03Z","timestamp":1790361003883,"version":"4.1.0"},"reference-count":59,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T00:00:00Z","timestamp":1641945600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"the Fundamental Research Fund for the Zhejiang Provincial Universities","award":["2021XZZX029"],"award-info":[{"award-number":["2021XZZX029"]}]},{"name":"the Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province","award":["2020E10004"],"award-info":[{"award-number":["2020E10004"]}]},{"name":"the Leading Innovative and Entrepreneur Team Introduction Program of Zhejiang","award":["2019R01007"],"award-info":[{"award-number":["2019R01007"]}]},{"name":"the Key Research and Development Program of Zhejiang Province","award":["2020C03002"],"award-info":[{"award-number":["2020C03002"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Nutrients"],"abstract":"<jats:p>We aimed to investigate the effects of a low-glycemic index (GI) diet on the body mass and blood glucose of patients with four common metabolic diseases by conducting a systematic review and meta-analysis of studies comparing a low-GI diet (LGID) and other types of diet. Search terms relating to population, intervention, comparator, outcomes, and study design were used to search three databases: PubMed, Embase, and the Cochrane Library. We identified 24 studies involving 2002 participants. Random-effects models were used for 16 studies in the meta-analysis and stratified analyses were performed according to the duration of the intervention. The systematic review showed that LGIDs slightly reduced body mass and body mass index (BMI) (p &lt; 0.05). BMI improved more substantially after interventions of &gt;24 weeks and there was no inter-study heterogeneity (I2 = 0%, p = 0.48; mean difference (MD) = \u22122.02, 95% confidence interval (CI): \u22123.05, \u22120.98). Overall, an LGID had superior effects to a control diet on fasting blood glucose (FBG) and glycosylated hemoglobin. When the intervention exceeded 30 days, an LGID reduced FBG more substantially (MD = \u22120.34, 95% CI: \u22120.55, \u22120.12). Thus, for patients with metabolic diseases, an LGID is more effective at controlling body mass and blood glucose than a high-GI or other diet.<\/jats:p>","DOI":"10.3390\/nu14020307","type":"journal-article","created":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T09:10:36Z","timestamp":1641978636000},"page":"307","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":51,"title":["Low-Glycemic Index Diets as an Intervention in Metabolic Diseases: A Systematic Review and Meta-Analysis"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5312-3472","authenticated-orcid":false,"given":"Chunxiao","family":"Ni","sequence":"first","affiliation":[{"name":"The School of Public Health, Zhejiang University, Hangzhou 310027, China"},{"name":"National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qingqing","family":"Jia","sequence":"additional","affiliation":[{"name":"The School of Public Health, Zhejiang University, Hangzhou 310027, China"},{"name":"The Center of Clinical Big Data and Analytics, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310030, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gangqiang","family":"Ding","sequence":"additional","affiliation":[{"name":"The School of Public Health, Zhejiang University, Hangzhou 310027, China"},{"name":"National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xifeng","family":"Wu","sequence":"additional","affiliation":[{"name":"The School of Public Health, Zhejiang University, Hangzhou 310027, China"},{"name":"The Center of Clinical Big Data and Analytics, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310030, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Min","family":"Yang","sequence":"additional","affiliation":[{"name":"The School of Public Health, Zhejiang University, Hangzhou 310027, China"},{"name":"National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2022,1,12]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"2982","DOI":"10.1016\/j.jacc.2020.11.010","article-title":"Global Burden of Cardiovascular Diseases and Risk Factors, 1990\u20132019: Update From the GBD 2019 Study","volume":"76","author":"Roth","year":"2020","journal-title":"J. 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