{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,3]],"date-time":"2026-11-03T16:47:52Z","timestamp":1793724472684,"version":"4.6.1"},"reference-count":85,"publisher":"SAGE Publications","issue":"6","license":[{"start":{"date-parts":[[2016,11,11]],"date-time":"2016-11-11T00:00:00Z","timestamp":1478822400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["J Int Med Res"],"published-print":{"date-parts":[[2016,12]]},"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>We investigated the relationship between diabetes and telomere length by meta-analysis.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We searched five popular databases for articles published between 1990 and 2015 using \u201cdiabetes\u201d and \u201ctelomere\u201d as search terms. Data were processed with RevMan5, and random- or fixed-effects meta-analysis was applied. The effects of geographical region, diabetes type, body mass index (BMI), age and sex were examined. Funnel plots were applied to evaluate publication bias.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Seventeen articles were obtained from 571 references. We identified a significant association between telomere length and diabetes mellitus (standardized mean difference [SMD]: \u22123.41; 95% confidence interval [CI]: \u22124.01, \u22122.80; heterogeneity, I\n                      <jats:sup>2\u2009<\/jats:sup>\n                      =\u200999%) by comparing 5575 patients with diabetes and 6349 healthy individuals. The pooled SMD by geographic region indicated a significant association between shortened telomere length and diabetes mellitus (SMD: \u22123.41; 95% CI: \u22124.01, \u22122.80; heterogeneity, I\n                      <jats:sup>2\u2009<\/jats:sup>\n                      =\u200999%). In addition, telomere length was significantly associated with age (SMD: \u22123.41; 95% CI: \u22124.01, \u22122.80), diabetes type (SMD: \u22123.41; 95% CI: \u22124.01, \u22122.80), BMI (SMD: \u22121.61; 95% CI: \u22121.98, \u22121.23) and sex (SMD: \u22124.94; 95% CI: \u22129.47, \u22120.40).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>The study demonstrated a close relationship between diabetes mellitus and telomere length, which was influenced by region, age, diabetes type, BMI and sex.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/0300060516667132","type":"journal-article","created":{"date-parts":[[2016,11,9]],"date-time":"2016-11-09T05:28:40Z","timestamp":1478669320000},"page":"1156-1173","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":140,"title":["Association between telomere length and diabetes mellitus: A meta-analysis"],"prefix":"10.1177","volume":"44","author":[{"given":"Jianfei","family":"Wang","sequence":"first","affiliation":[{"name":"Laboratory of Biology Chip, College of Life Sciences, Hebei University, Baoding, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xu","family":"Dong","sequence":"additional","affiliation":[{"name":"Laboratory of Biology Chip, College of Life Sciences, Hebei University, Baoding, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li","family":"Cao","sequence":"additional","affiliation":[{"name":"Laboratory of Biology Chip, College of Life Sciences, Hebei University, Baoding, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yangyang","family":"Sun","sequence":"additional","affiliation":[{"name":"Laboratory of Biology Chip, College of Life Sciences, Hebei University, Baoding, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yu","family":"Qiu","sequence":"additional","affiliation":[{"name":"Laboratory of Biology Chip, College of Life Sciences, Hebei University, Baoding, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yi","family":"Zhang","sequence":"additional","affiliation":[{"name":"Laboratory of Biology Chip, College of Life Sciences, Hebei University, Baoding, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ruoqiong","family":"Cao","sequence":"additional","affiliation":[{"name":"Laboratory of Biology Chip, College of Life Sciences, Hebei University, Baoding, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mihai","family":"Covasa","sequence":"additional","affiliation":[{"name":"Western University of Health Sciences, College of Osteopathic Medicine, Pomona, CA, USA"},{"name":"University \u201cStefan cel Mare\u201d Suceava, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li","family":"Zhong","sequence":"additional","affiliation":[{"name":"Laboratory of Biology Chip, College of Life Sciences, Hebei University, Baoding, China"},{"name":"Western University of Health Sciences, College of Osteopathic Medicine, Pomona, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2016,11,11]]},"reference":[{"key":"bibr1-0300060516667132","unstructured":"International Diabetes Federation. 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