{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,20]],"date-time":"2026-08-20T18:25:01Z","timestamp":1787250301147,"version":"build-2736575974"},"reference-count":58,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2026,3,2]],"date-time":"2026-03-02T00:00:00Z","timestamp":1772409600000},"content-version":"vor","delay-in-days":1,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Health Science Reports"],"published-print":{"date-parts":[[2026,3]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background and Aims<\/jats:title>\n                    <jats:p>Obesity is widely recognized as a significant contributor to the onset of type 2 diabetes mellitus (T2DM). This study aimed to identify the most accurate anthropometric cut\u2010off points for predicting T2DM in adults aged 35\u201370 years through a cross\u2010sectional analysis of the Bandare\u2010Kong cohort in southern Iran.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      This study analyzed data from the Bandare\u2010Kong Non\u2010Communicable Diseases (BKNCD) cohort. Anthropometric indices were analyzed using statistical tests, including\n                      <jats:italic>t<\/jats:italic>\n                      \u2010tests and\n                      <jats:italic>\u03c7<\/jats:italic>\n                      <jats:sup>2<\/jats:sup>\n                      tests for continuous and categorical variables, respectively. Receiver operating characteristic (ROC) curves and the area under the curve (AUC) were employed to evaluate the diagnostic performance of anthropometric indices in predicting T2DM. A\n                      <jats:italic>p<\/jats:italic>\n                      \u2010value of &lt;\u20090.05 was considered statistically significant.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>A total of 2749 participants were included, evenly distributed between men and women. T2DM was identified in 176 men (6.4%) and 242 women (8.8%). In women, abdominal obesity indicators such as waist\u2010to\u2010hip ratio (WHR) (cut\u2010off: 0.98, AUC\u2009=\u20090.72) and waist\u2010to\u2010height ratio (WHtR) (cut\u2010off: 0.59, AUC\u2009=\u20090.64) demonstrated the strongest associations with T2DM. In men, WHR (cut\u2010off: 0.94, AUC\u2009=\u20090.65) and WHtR (cut\u2010off: 0.52, AUC\u2009=\u20090.59) also showed significant associations. When analyzed by age, WHR (cut\u2010offs: 0.96 for &lt;\u200950 years and 0.98 for \u2265\u200950 years) and WHtR (cut\u2010offs: 0.55 for &lt;\u200950 years and 0.58 for \u2265\u200950 years) remained consistently associated with T2DM across age groups. Conversely, body mass index (BMI) showed weaker associations in both genders and age groups.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>WHR and WHtR, key indicators of abdominal obesity, demonstrated a strong association with T2DM in both men and women, with WHR showing a particularly stronger relationship in women. These findings highlight the importance of focusing on abdominal obesity measures, especially in women, for better diabetes risk assessment. Future multicenter longitudinal studies are essential to confirm these findings and enhance risk\u2010stratification approaches.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/hsr2.71878","type":"journal-article","created":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T20:24:41Z","timestamp":1773001481000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["The Association Between Anthropometric Indices and Type 2 Diabetes Mellitus Among Adults: A Cross\u2010Sectional Analysis From the Population\u2010Based Bandare Kong Cohort Study"],"prefix":"10.1002","volume":"9","author":[{"given":"Seyyed Mohammad","family":"Hashemi","sequence":"first","affiliation":[{"name":"Cardiovascular Research Center, Hormozgan University of Medical Sciences Bandar Abbas Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Elaheh","family":"Salarpour","sequence":"additional","affiliation":[{"name":"Endocrinology and Metabolism Research Center, Hormozgan University of Medical Bandar Abbas Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Parsa","family":"Saberian","sequence":"additional","affiliation":[{"name":"Cardiovascular Research Center, Hormozgan University of Medical Sciences Bandar Abbas Iran"},{"name":"Student Research Committee, Faculty of Medicine Hormozgan University of Medical Sciences Bandar Abbas Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Arezoo","family":"Ghazalgoo","sequence":"additional","affiliation":[{"name":"Cardiovascular Research Center, Hormozgan University of Medical Sciences Bandar Abbas Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sara","family":"Parandavar","sequence":"additional","affiliation":[{"name":"Cardiovascular Research Center, Hormozgan University of Medical Sciences Bandar Abbas Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4985-2899","authenticated-orcid":false,"given":"Ehsan","family":"Amini\u2010Salehi","sequence":"additional","affiliation":[{"name":"School of Medicine, Guilan University of Medical Sciences Rasht Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mohammad\u2010Hossein","family":"Keivanlou","sequence":"additional","affiliation":[{"name":"School of Medicine, Guilan University of Medical Sciences Rasht Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ladan","family":"Hajiabdolrassouli","sequence":"additional","affiliation":[{"name":"Endocrinology and Metabolism Research Center, Hormozgan University of Medical Bandar Abbas Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,3,2]]},"reference":[{"key":"e_1_2_15_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.diabres.2009.10.007"},{"key":"e_1_2_15_3_1","doi-asserted-by":"publisher","DOI":"10.3389\/fphar.2025.1438318"},{"key":"e_1_2_15_4_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12933-022-01476-x"},{"key":"e_1_2_15_5_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0026864"},{"issue":"2","key":"e_1_2_15_6_1","article-title":"Effect of Nurse\u2010Led Telephone Follow Ups (Tele\u2010Nursing) on Diet Adherence Among Type 2 Diabetic Patients","volume":"14","author":"Zakerimoghadam M.","year":"2008","journal-title":"HAYAT"},{"key":"e_1_2_15_7_1","doi-asserted-by":"publisher","DOI":"10.2147\/DMSO.S263571"},{"key":"e_1_2_15_8_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-017-13379-z"},{"key":"e_1_2_15_9_1","doi-asserted-by":"publisher","DOI":"10.2174\/0115733998271863231116062601"},{"key":"e_1_2_15_10_1","doi-asserted-by":"publisher","DOI":"10.2174\/0115733998290606240521113832"},{"key":"e_1_2_15_11_1","doi-asserted-by":"publisher","DOI":"10.2174\/0115733998305019240702095537"},{"key":"e_1_2_15_12_1","doi-asserted-by":"publisher","DOI":"10.1186\/s13643-023-02299-x"},{"key":"e_1_2_15_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ypmed.2017.05.031"},{"key":"e_1_2_15_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.diabres.2013.12.034"},{"key":"e_1_2_15_15_1","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2458-12-821"},{"key":"e_1_2_15_16_1","doi-asserted-by":"publisher","DOI":"10.2337\/dc09-1825"},{"key":"e_1_2_15_17_1","doi-asserted-by":"publisher","DOI":"10.2174\/0115733998284844240102110559"},{"issue":"6","key":"e_1_2_15_18_1","first-page":"485","article-title":"BMI, WC, WHtR, VFI and BFI: Which Indictor Is the Most Efficient Screening Index on Type 2 Diabetes in Chinese Community Population","volume":"26","author":"Mi S. 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