D Yu1, D Simmons. 1. Institute of Metabolic Science, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
Abstract
AIM: To examine the association between lung function and metabolic syndrome/Type 2 diabetes. METHODS: A total of 1454 adults from rural Victoria, Australia, from randomly selected households included in the Crossroads study, provided spirometric measurements including forced vital capacity, forced expiratory volume in 1 s, predicted percentage value of forced expiratory volume in 1 s and forced vital capacity predicted percentage value. Assessments also included HbA(1c), metabolic syndrome components and a 75-g oral glucose tolerance test. The area under the receiver-operating characteristic curves for waist circumference were compared with those for combinations of waist circumference and raw spirometric measures (forced vital capacity and forced expiratory volume in 1 s) for identifying metabolic syndrome or Type 2 diabetes. RESULTS: Partipants with a greater number of metabolic syndrome components were more likely to have reduced lung function, particularly if Type 2 diabetes was present: the predicted value of forced expiratory volume in 1 s decreased by 5-6% for participants with 2-4 metabolic syndrome components, and by 9% for those with Type 2 diabetes. The risk of metabolic syndrome or Type 2 diabetes was inversely associated with higher spirometry values (forced expiratory volume in 1 s percentage predicted value: odds ratio for 2-4 metabolic syndrome components 0.36-0.21 in women and 0.32-0.30 men; the odds ratio for Type 2 diabetes was 0.36 in women and 0.28 in men). Receiver-operating characteristic curve analysis for identifying metabolic syndrome and Type 2 diabetes revealed significant differences between the area under the receiver-operating characteristic curve with waist circumference alone and that for the combination of waist circumference with lung capacity measures. CONCLUSION: Pulmonary function is lower in people with metabolic syndrome and Type 2 diabetes. Spirometry variables are independent predictors of metabolic syndrome and Type 2 diabetes.
AIM: To examine the association between lung function and metabolic syndrome/Type 2 diabetes. METHODS: A total of 1454 adults from rural Victoria, Australia, from randomly selected households included in the Crossroads study, provided spirometric measurements including forced vital capacity, forced expiratory volume in 1 s, predicted percentage value of forced expiratory volume in 1 s and forced vital capacity predicted percentage value. Assessments also included HbA(1c), metabolic syndrome components and a 75-g oral glucose tolerance test. The area under the receiver-operating characteristic curves for waist circumference were compared with those for combinations of waist circumference and raw spirometric measures (forced vital capacity and forced expiratory volume in 1 s) for identifying metabolic syndrome or Type 2 diabetes. RESULTS: Partipants with a greater number of metabolic syndrome components were more likely to have reduced lung function, particularly if Type 2 diabetes was present: the predicted value of forced expiratory volume in 1 s decreased by 5-6% for participants with 2-4 metabolic syndrome components, and by 9% for those with Type 2 diabetes. The risk of metabolic syndrome or Type 2 diabetes was inversely associated with higher spirometry values (forced expiratory volume in 1 s percentage predicted value: odds ratio for 2-4 metabolic syndrome components 0.36-0.21 in women and 0.32-0.30 men; the odds ratio for Type 2 diabetes was 0.36 in women and 0.28 in men). Receiver-operating characteristic curve analysis for identifying metabolic syndrome and Type 2 diabetes revealed significant differences between the area under the receiver-operating characteristic curve with waist circumference alone and that for the combination of waist circumference with lung capacity measures. CONCLUSION: Pulmonary function is lower in people with metabolic syndrome and Type 2 diabetes. Spirometry variables are independent predictors of metabolic syndrome and Type 2 diabetes.
Authors: Eva Prats; Elena Tejero; Paloma Pardo; Adelaida Gavilán; Raúl Galera; José Ramón Donado; Miguel Ángel Racionero; Raquel Casitas; Antonio Zapatero; Francisco García-Río Journal: PLoS One Date: 2015-10-21 Impact factor: 3.240
Authors: Kristen M Glenister; Lisa Bourke; Leslie Bolitho; Sian Wright; Stuart Roberts; William Kemp; Leigh Rhode; Ravi Bhat; Sönke Tremper; Dianna J Magliano; Mike Morgan; Rodrigo Mariño; William Adam; David Simmons Journal: BMC Public Health Date: 2018-05-30 Impact factor: 3.295
Authors: Pere Almagro; Pablo Martinez-Camblor; Joan B Soriano; Jose M Marin; Inmaculada Alfageme; Ciro Casanova; Cristobal Esteban; Juan J Soler-Cataluña; Juan P de-Torres; Bartolome R Celli; Marc Miravitlles Journal: PLoS One Date: 2014-02-27 Impact factor: 3.240