OBJECTIVES: To investigate the characteristics of older adults who develop high interleukin-6 (IL-6) levels at 3-year follow-up. DESIGN: Population-based study of adults living in Tuscany, Italy. SETTING: Community. PARTICIPANTS: Adults aged 65 and older and were selected for this study. Of 1,155 baseline participants aged 65 and older, 741 had IL-6 measurements at baseline and 3-year follow-up. MEASUREMENTS: The uppermost quartile of IL-6 was used as the threshold for defining high IL-6 (> or =4.18 pg/mL). Serum IL-6 levels were assessed using enzyme immunoassay. RESULTS: Of the 581 participants with IL-6 levels less than 4.18 pg/mL at baseline, 106 (18.2%) had developed high IL-6 at follow-up. Although women had lower IL-6 levels at baseline than men, the risk of developing high IL-6 did not differ according to sex. High adiposity, defined as a body mass index of 30.0 kg/m(2) or higher (odds ratio (OR)=2.63, 95% confidence interval (CI)=1.40-4.96), and large waist circumference, defined as 102 cm or greater for men and 88 cm or greater for women (OR=2.05, 95% CI=1.24-3.40), were significant predictors of developing high IL-6 at follow-up. Other significant predictors were presence of three or more chronic diseases (OR=3.66, 95% CI=1.54-8.70), higher baseline IL-6 (OR=1.82, 95% CI=1.39-2.38) and higher white blood cell count (OR=1.24, 95% CI=1.06-1.45). Faster walking speed associated with decreased risk of progressing to elevated IL-6 (OR=0.83, 95% CI=0.74-0.92). CONCLUSION: Older age, greater adiposity, slower walking speed, higher disease burden, and higher white blood cell count were associated with greater risk of IL-6 elevation over a 3-year period. Future research should target older adults with these characteristics to prevent progression to a proinflammatory state.
OBJECTIVES: To investigate the characteristics of older adults who develop high interleukin-6 (IL-6) levels at 3-year follow-up. DESIGN: Population-based study of adults living in Tuscany, Italy. SETTING: Community. PARTICIPANTS: Adults aged 65 and older and were selected for this study. Of 1,155 baseline participants aged 65 and older, 741 had IL-6 measurements at baseline and 3-year follow-up. MEASUREMENTS: The uppermost quartile of IL-6 was used as the threshold for defining high IL-6 (> or =4.18 pg/mL). Serum IL-6 levels were assessed using enzyme immunoassay. RESULTS: Of the 581 participants with IL-6 levels less than 4.18 pg/mL at baseline, 106 (18.2%) had developed high IL-6 at follow-up. Although women had lower IL-6 levels at baseline than men, the risk of developing high IL-6 did not differ according to sex. High adiposity, defined as a body mass index of 30.0 kg/m(2) or higher (odds ratio (OR)=2.63, 95% confidence interval (CI)=1.40-4.96), and large waist circumference, defined as 102 cm or greater for men and 88 cm or greater for women (OR=2.05, 95% CI=1.24-3.40), were significant predictors of developing high IL-6 at follow-up. Other significant predictors were presence of three or more chronic diseases (OR=3.66, 95% CI=1.54-8.70), higher baseline IL-6 (OR=1.82, 95% CI=1.39-2.38) and higher white blood cell count (OR=1.24, 95% CI=1.06-1.45). Faster walking speed associated with decreased risk of progressing to elevated IL-6 (OR=0.83, 95% CI=0.74-0.92). CONCLUSION: Older age, greater adiposity, slower walking speed, higher disease burden, and higher white blood cell count were associated with greater risk of IL-6 elevation over a 3-year period. Future research should target older adults with these characteristics to prevent progression to a proinflammatory state.
Authors: M Rauchhaus; W Doehner; D P Francis; C Davos; M Kemp; C Liebenthal; J Niebauer; J Hooper; H D Volk; A J Coats; S D Anker Journal: Circulation Date: 2000-12-19 Impact factor: 29.690
Authors: Luigi Ferrucci; Annamaria Corsi; Fulvio Lauretani; Stefania Bandinelli; Benedetta Bartali; Dennis D Taub; Jack M Guralnik; Dan L Longo Journal: Blood Date: 2004-11-30 Impact factor: 22.113
Authors: Matteo Cesari; Brenda W J H Penninx; Anne B Newman; Stephen B Kritchevsky; Barbara J Nicklas; Kim Sutton-Tyrrell; Russell P Tracy; Susan M Rubin; Tamara B Harris; Marco Pahor Journal: Am J Cardiol Date: 2003-09-01 Impact factor: 2.778
Authors: Karla M Pou; Joseph M Massaro; Udo Hoffmann; Ramachandran S Vasan; Pal Maurovich-Horvat; Martin G Larson; John F Keaney; James B Meigs; Izabella Lipinska; Sekar Kathiresan; Joanne M Murabito; Christopher J O'Donnell; Emelia J Benjamin; Caroline S Fox Journal: Circulation Date: 2007-08-20 Impact factor: 29.690
Authors: Ramachandran S Vasan; Lisa M Sullivan; Ronenn Roubenoff; Charles A Dinarello; Tamara Harris; Emelia J Benjamin; Douglas B Sawyer; Daniel Levy; Peter W F Wilson; Ralph B D'Agostino Journal: Circulation Date: 2003-03-25 Impact factor: 29.690
Authors: Scott D Nash; Karen J Cruickshanks; Ronald Klein; Barbara E K Klein; F Javier Nieto; Rick Chappell; Carla R Schubert; Michael Y Tsai Journal: J Am Geriatr Soc Date: 2013-07-26 Impact factor: 5.562
Authors: M Thaeter; M Knobe; M Vande Kerckhove; F Böhle; J Herold; E Verhaven; H-C Pape Journal: Eur J Trauma Emerg Surg Date: 2016-08-25 Impact factor: 3.693
Authors: Dominika Kanikowska; Małgorzata Pyda; Katarzyna Korybalska; Stefan Grajek; Maciej Lesiak; Andrzej Bręborowicz; Janusz Witowski Journal: Immun Ageing Date: 2014-12-04 Impact factor: 6.400
Authors: Dongyu Zhang; Linn Abraham; Joshua Demb; Diana L Miglioretti; Shailesh Advani; Brian L Sprague; Louise M Henderson; Tracy Onega; Karen J Wernli; Louise C Walter; Karla Kerlikowske; John T Schousboe; Ellen S O'Meara; Dejana Braithwaite Journal: Cancer Epidemiol Biomarkers Prev Date: 2021-06-02 Impact factor: 4.254