{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,17]],"date-time":"2026-08-17T14:48:32Z","timestamp":1786978112998,"version":"build-2736575974"},"reference-count":44,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2022,11,18]],"date-time":"2022-11-18T00:00:00Z","timestamp":1668729600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J cachexia sarcopenia muscle"],"published-print":{"date-parts":[[2023,2]]},"abstract":"Abstract<\/jats:title>\n \n Background<\/jats:title>\n It remains unknown why adiponectin levels are associated with poor physical functioning, skeletal muscle mass and increased mortality in older populations.<\/jats:p>\n <\/jats:sec>\n \n Methods<\/jats:title>\n \n In 190 healthy adults (59\u201386\u00a0years, BMI 17\u201337\u00a0kg\/m\n 2<\/jats:sup>\n , 56.8% female), whole body skeletal muscle mass (normalized by height, SMI, kg\/m\n 2<\/jats:sup>\n ), muscle and liver fat were determined by magnetic resonance imaging. Bone mineral content (BMC) and density (BMD) were assessed by dual X\u2010ray absorptiometry (\n n<\/jats:italic>\n \u00a0=\u00a0135). Levels of insulin\u2010like growth factor 1 (IGF\u20101), insulin, inflammation markers, leptin and fibroblast growth factor 21 were measured as potential determinants of the relationship between adiponectin and body composition.\n <\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n \n Higher adiponectin levels were associated with a lower SMI (\n r<\/jats:italic>\n \u00a0=\u00a0\u22120.23,\n P<\/jats:italic>\n \u00a0<\u00a00.01), BMC (\n r<\/jats:italic>\n \u00a0=\u00a0\u22120.17,\n P<\/jats:italic>\n \u00a0<\u00a00.05) and liver fat (\n r<\/jats:italic>\n \u00a0=\u00a0\u22120.20,\n P<\/jats:italic>\n \u00a0<\u00a00.05) in the total population and with higher muscle fat in women (\n r<\/jats:italic>\n \u00a0=\u00a00.27,\n P<\/jats:italic>\n \u00a0<\u00a00.01). By contrast, IGF\u20101 showed positive correlations with SMI (\n r<\/jats:italic>\n \u00a0=\u00a00.33), BMD (\n r<\/jats:italic>\n \u00a0=\u00a00.37) and BMC (\n r<\/jats:italic>\n \u00a0=\u00a00.33) (all\n P<\/jats:italic>\n \u00a0<\u00a00.01) and a negative correlation with muscle fat (\n r<\/jats:italic>\n \u00a0=\u00a0\u22120.17,\n P<\/jats:italic>\n \u00a0<\u00a00.05). IGF\u20101 was negatively associated with age (\n r<\/jats:italic>\n \u00a0=\u00a0\u22120.21,\n P<\/jats:italic>\n \u00a0<\u00a00.01) and with adiponectin (\n r<\/jats:italic>\n \u00a0=\u00a0\u22120.15,\n P<\/jats:italic>\n \u00a0<\u00a00.05). Stepwise regression analyses revealed that IGF\u20101, insulin and leptin explained 18% of the variance in SMI, and IGF\u20101, leptin and age explained 16% of the variance in BMC, whereas adiponectin did not contribute to these models.\n <\/jats:p>\n <\/jats:sec>\n \n Conclusions<\/jats:title>\n Associations between higher adiponectin levels and lower muscle or bone mass in healthy older adults may be explained by a decrease in IGF\u20101 with increasing adiponectin levels.<\/jats:p>\n <\/jats:sec>","DOI":"10.1002\/jcsm.13127","type":"journal-article","created":{"date-parts":[[2022,11,18]],"date-time":"2022-11-18T23:09:32Z","timestamp":1668812972000},"page":"270-278","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":25,"title":["Analysis of the adiponectin paradox in healthy older people"],"prefix":"10.1002","volume":"14","author":[{"given":"Carina O.","family":"Walowski","sequence":"first","affiliation":[{"name":"Institute for Human Nutrition and Food Science Christian\u2010Albrechts\u2010University Kiel Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Catrin","family":"Herpich","sequence":"additional","affiliation":[{"name":"Institute of Nutritional Science University of Potsdam Nuthetal Germany"},{"name":"Department of Geriatrics and Medical Gerontology Charit\u00e9 Universit\u00e4tsmedizin Berlin, Corporate member of Freie Universit\u00e4t Berlin and Humboldt\u2010Universit\u00e4t zu Berlin Berlin Germany"},{"name":"Department of Nutrition and Gerontology German Institute of Human Nutrition Potsdam\u2010Rehbr\u00fccke, Nuthetal Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Janna","family":"Enderle","sequence":"additional","affiliation":[{"name":"Institute for Human Nutrition and Food Science Christian\u2010Albrechts\u2010University Kiel 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