{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T05:39:42Z","timestamp":1761975582056,"version":"3.41.2"},"reference-count":60,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"9","content-domain":{"domain":["www.ahajournals.org"],"crossmark-restriction":true},"short-container-title":["JAHA"],"published-print":{"date-parts":[[2016,9]]},"abstract":"<jats:sec xml:lang=\"en\">\n            <jats:title>Background<\/jats:title>\n            <jats:p xml:lang=\"en\">\n              Recent longitudinal work suggests that weight change is an important risk factor for inflammation across the full range of\n              <jats:styled-content style=\"fixed-case\">BMI<\/jats:styled-content>\n              . However, few studies have examined whether the risk of inflammation differs by patterns of weight gain over time. Using latent class trajectory analysis, we test whether patterns of weight gain are associated with elevated high\u2010sensitivity C\u2010reactive protein (hs\u2010\n              <jats:styled-content style=\"fixed-case\">CRP<\/jats:styled-content>\n              2\u201310\u00a0mg\/L).\n            <\/jats:p>\n          <\/jats:sec>\n          <jats:sec xml:lang=\"en\">\n            <jats:title>Methods and Results<\/jats:title>\n            <jats:p xml:lang=\"en\">\n              Data come from China Health and Nutrition Survey (\n              <jats:styled-content style=\"fixed-case\">CHNS<\/jats:styled-content>\n              ) participants (n=5536), aged 18 at baseline to 66\u00a0years in 2009, with measured weight over 18\u00a0years. Latent class trajectory analysis was used to identify weight\u2010change trajectories in 6 age and sex strata. Multivariable general linear mixed\u2010effects models fit with a logit link were used to assess the risk of elevated hs\u2010\n              <jats:styled-content style=\"fixed-case\">CRP<\/jats:styled-content>\n              across weight trajectory classes. Models were fit within age and sex strata, controlling for baseline weight, adult height, and smoking, and included random intercepts to account for community\u2010level correlation. Steeper weight\u2010gain trajectories were associated with greater risk of elevated hs\u2010\n              <jats:styled-content style=\"fixed-case\">CRP<\/jats:styled-content>\n              compared to more moderate weight\u2010gain trajectories in men and women. Initially high weight gain followed by weight loss was associated with lower risk of elevated hs\u2010\n              <jats:styled-content style=\"fixed-case\">CRP<\/jats:styled-content>\n              in women aged 18 to 40.\n            <\/jats:p>\n          <\/jats:sec>\n          <jats:sec xml:lang=\"en\">\n            <jats:title>Conclusions<\/jats:title>\n            <jats:p xml:lang=\"en\">Latent class trajectory analysis identified heterogeneity in adult weight change associated with differential risk of inflammation independently of baseline weight and smoking. These results suggest that trajectories of weight gain are an important clinical concern and may identify those at risk for inflammation and the development of cardiometabolic disease.<\/jats:p>\n          <\/jats:sec>","DOI":"10.1161\/jaha.116.003262","type":"journal-article","created":{"date-parts":[[2016,9,17]],"date-time":"2016-09-17T01:10:39Z","timestamp":1474074639000},"update-policy":"https:\/\/doi.org\/10.1161\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":27,"title":["Weight Gain Trajectories Associated With Elevated C\u2010Reactive Protein Levels in Chinese Adults"],"prefix":"10.1161","volume":"5","author":[{"given":"Amanda L.","family":"Thompson","sequence":"first","affiliation":[{"name":"Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC"},{"name":"Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC"},{"name":"Department of Anthropology, 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