{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T15:07:05Z","timestamp":1772118425333,"version":"3.50.1"},"reference-count":39,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2021,6,7]],"date-time":"2021-06-07T00:00:00Z","timestamp":1623024000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Diabetes Metabolism Res"],"published-print":{"date-parts":[[2022,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Aims<\/jats:title>\n                    <jats:p>High resting heart rate (RHR), one abnormal manifestation of autonomic nervous system, is associated with metabolic disorders. However, the association between RHR and metabolic syndrome (MetS) and its components remains controversial. We aimed to explore the link between these two parameters.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Materials and Methods<\/jats:title>\n                    <jats:p>The study included 6589 Dong adults (1434 cases of MetS) from the cross\u2010sectional survey of the China Multi\u2010Ethnic Cohort Study. Logistic regression model was used to calculate odds ratios (ORs) and 95% confidence intervals (CIs) and assess the association between RHR and MetS, clustered metabolic risk, and MetS components. Restricted cubic splines model was used to evaluate the dose response association.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      A positive association existed between RHR and MetS, and people in the highest RHR quartile had a higher MetS risk (OR 1.75 [95% CI 1.42\u20132.15]) than those in the lowest quartile. The clustered metabolic risk associated with RHR (\n                      <jats:italic>p<\/jats:italic>\n                      \u00a0&lt;\u00a00.05). Furthermore, RHR was related to elevated blood pressure (BP), elevated triglycerides (TG) and elevated fasting plasma glucose (FPG); the ORs (95% CIs) for the highest versus lowest RHR quartile were 2.06 (1.75\u20132.43), 1.37 (1.17\u20131.62) and 2.53 (2.04\u20133.14), respectively. Similar results were found in sensitivity and subgroup analyses. Also, non\u2010linear dose response association existed between RHR and MetS and elevated levels of BP, TG and FPG (\n                      <jats:italic>p<\/jats:italic>\n                      \u00a0&lt;\u00a00.001).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>RHR was related to increased risk of MetS, three MetS components (elevated BP, elevated TG and elevated FPG) and the clustered metabolic risk. RHR may be a useful indicator for MetS.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/dmrr.3475","type":"journal-article","created":{"date-parts":[[2021,5,25]],"date-time":"2021-05-25T23:03:11Z","timestamp":1621983791000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Resting heart rate is associated with the risk of metabolic syndrome and its components among Dong adults in southwest China: Cross\u2010sectional findings of the China Multi\u2010Ethnic Cohort Study"],"prefix":"10.1002","volume":"38","author":[{"given":"Xiao","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Public Health Guizhou Medical University  Guiyang China"},{"name":"School of Public Health the Key Laboratory of Environmental Pollution Monitoring and Disease Control Ministry of Education Guizhou Medical University  Guiyang 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