OBJECTIVE: The aim of the present cross-sectional study was to examine the association among physical activity (PA), sedentary time (ST), and cardiometabolic risk in adults with prediabetes. RESEARCH DESIGN AND METHODS: Participants (n = 2,326; 25-70 years old, 67% female) from eight countries, with a BMI >25 kg ⋅ m-2 and impaired fasting glucose (5.6-6.9 mmol ⋅ L-1) or impaired glucose tolerance (7.8-11.0 mmol ⋅ L-1 at 2 h), participated. Seven-day accelerometry objectively assessed PA levels and ST. RESULTS: Multiple linear regression revealed that moderate-to-vigorous PA (MVPA) was negatively associated with HOMA of insulin resistance (HOMA-IR) (standardized β = -0.078 [95% CI -0.128, -0.027]), waist circumference (WC) (β = -0.177 [-0.122, -0.134]), fasting insulin (β = -0.115 [-0.158, -0.072]), 2-h glucose (β = -0.069 [-0.112, -0.025]), triglycerides (β = -0.091 [-0.138, -0.044]), and CRP (β = -0.086 [-0.127, -0.045]). ST was positively associated with HOMA-IR (β = 0.175 [0.114, 0.236]), WC (β = 0.215 [0.026, 0.131]), fasting insulin (β = 0.155 [0.092, 0.219]), triglycerides (β = 0.106 [0.052, 0.16]), CRP (β = 0.106 [0.39, 0.172]), systolic blood pressure (BP) (β = 0.078 [0.026, 0.131]), and diastolic BP (β = 0.106 [0.39, -0.172]). Associations reported between total PA (counts ⋅ min-1), and all risk factors were comparable or stronger than for MVPA: HOMA-IR (β = -0.151 [-0.194, -0.107]), WC (β = -0.179 [-0.224, -0.134]), fasting insulin (β = -0.139 [-0.183, -0.096]), 2-h glucose (β = -0.088 [-0.131, -0.045]), triglycerides (β = -0.117 [-0.162, -0.071]), and CRP (β = -0.104 [-0.146, -0.062]). CONCLUSIONS: In adults with prediabetes, objectively measured PA and ST were associated with cardiometabolic risk markers. Total PA was at least as strongly associated with cardiometabolic risk markers as MVPA, which may imply that the accumulation of total PA over the day is as important as achieving the intensity of MVPA.
OBJECTIVE: The aim of the present cross-sectional study was to examine the association among physical activity (PA), sedentary time (ST), and cardiometabolic risk in adults with prediabetes. RESEARCH DESIGN AND METHODS: Participants (n = 2,326; 25-70 years old, 67% female) from eight countries, with a BMI >25 kg ⋅ m-2 and impaired fasting glucose (5.6-6.9 mmol ⋅ L-1) or impaired glucose tolerance (7.8-11.0 mmol ⋅ L-1 at 2 h), participated. Seven-day accelerometry objectively assessed PA levels and ST. RESULTS: Multiple linear regression revealed that moderate-to-vigorous PA (MVPA) was negatively associated with HOMA of insulin resistance (HOMA-IR) (standardized β = -0.078 [95% CI -0.128, -0.027]), waist circumference (WC) (β = -0.177 [-0.122, -0.134]), fasting insulin (β = -0.115 [-0.158, -0.072]), 2-h glucose (β = -0.069 [-0.112, -0.025]), triglycerides (β = -0.091 [-0.138, -0.044]), and CRP (β = -0.086 [-0.127, -0.045]). ST was positively associated with HOMA-IR (β = 0.175 [0.114, 0.236]), WC (β = 0.215 [0.026, 0.131]), fasting insulin (β = 0.155 [0.092, 0.219]), triglycerides (β = 0.106 [0.052, 0.16]), CRP (β = 0.106 [0.39, 0.172]), systolic blood pressure (BP) (β = 0.078 [0.026, 0.131]), and diastolic BP (β = 0.106 [0.39, -0.172]). Associations reported between total PA (counts ⋅ min-1), and all risk factors were comparable or stronger than for MVPA: HOMA-IR (β = -0.151 [-0.194, -0.107]), WC (β = -0.179 [-0.224, -0.134]), fasting insulin (β = -0.139 [-0.183, -0.096]), 2-h glucose (β = -0.088 [-0.131, -0.045]), triglycerides (β = -0.117 [-0.162, -0.071]), and CRP (β = -0.104 [-0.146, -0.062]). CONCLUSIONS: In adults with prediabetes, objectively measured PA and ST were associated with cardiometabolic risk markers. Total PA was at least as strongly associated with cardiometabolic risk markers as MVPA, which may imply that the accumulation of total PA over the day is as important as achieving the intensity of MVPA.
Authors: Jamil A Malik; Jennifer Coto; Elizabeth R Pulgaron; Amber Daigre; Janine E Sanchez; Ronald B Goldberg; Dawn K Wilson; Alan M Delamater Journal: Transl Behav Med Date: 2021-08-13 Impact factor: 3.046
Authors: Ashleigh R Homer; Frances C Taylor; Paddy C Dempsey; Michael J Wheeler; Parneet Sethi; Melanie K Townsend; Megan S Grace; Daniel J Green; Neale D Cohen; Robyn N Larsen; Bronwyn A Kingwell; Neville Owen; David W Dunstan Journal: Diabetes Care Date: 2021-04-26 Impact factor: 17.152
Authors: Yuri Rykov; Thuan-Quoc Thach; Gerard Dunleavy; Adam Charles Roberts; George Christopoulos; Chee-Kiong Soh; Josip Car Journal: JMIR Mhealth Uhealth Date: 2020-01-31 Impact factor: 4.773
Authors: Eivind Andersen; Hidde P van der Ploeg; Willem van Mechelen; Cindy M Gray; Nanette Mutrie; Femke van Nassau; Judith G M Jelsma; Annie S Anderson; Marlene N Silva; Hugo V Pereira; Alex McConnachie; Naveed Sattar; Marit Sørensen; Øystein B Røynesdal; Kate Hunt; Glyn C Roberts; Sally Wyke; Jason M R Gill Journal: Int J Behav Nutr Phys Act Date: 2021-12-20 Impact factor: 6.457
Authors: Paddy C Dempsey; Eivind Aadland; Tessa Strain; Olav M Kvalheim; Kate Westgate; Tim Lindsay; Kay-Tee Khaw; Nicholas J Wareham; Søren Brage; Katrien Wijndaele Journal: Prev Med Date: 2022-02-04 Impact factor: 4.018