Literature DB >> 33273043

Sedentary Behavior and Diabetes Risk Among Women Over the Age of 65 Years: The OPACH Study.

John Bellettiere1,2, Michael J LaMonte3, Genevieve N Healy4,5,6, Sandy Liles7,2, Kelly R Evenson8, Chongzhi Di9, Jacqueline Kerr7, I-Min Lee10, Eileen Rillamas-Sun9, David Buchner11, Melbourne F Hovell2,12, Andrea Z LaCroix7.   

Abstract

OBJECTIVE: To evaluate whether sedentary time (ST) and/or sedentary behavior patterns are related to incident diabetes in the U.S.'s oldest age-groups. RESEARCH DESIGN AND METHODS: Women without physician-diagnosed diabetes (n = 4,839, mean ± SD age = 79 ± 7 years) wore accelerometers for ≥4 days and were followed up to 6 years for self-reported newly diagnosed diabetes requiring treatment with medications. Hazard ratios (HRs) for incident diabetes were estimated across quartiles of accelerometer-measured ST and mean bout duration with use of Cox proportional hazards models. We conducted isotemporal substitution analyses using Cox regression and tested associations with risk for diabetes after statistically replacing ST with light physical activity (PA) or moderate-to-vigorous PA (MVPA) and after replacing light PA with MVPA.
RESULTS: During 20,949 person-years, 342 diabetes cases were identified. Women in ST quartile (Q)2, Q3, and Q4 (vs. Q1) had incident diabetes HR 1.20 (95% CI 0.87-1.65), 1.33 (0.97-1.82), and 1.21 (0.86-1.70); P trend = 0.04. Respective HRs following additional adjustment for BMI and MVPA were 1.04 (95% CI 0.74-1.47), 1.04 (0.72-1.50), and 0.85 (0.56-1.29); P trend = 0.90. Fully adjusted isotemporal substitution results indicated that each 30 min of ST replaced with MVPA (but not light PA) was associated with 15% lower risk for diabetes (HR 0.85 [95% CI 0.75-0.96]; P = 0.01); the HR for replacing 30 min of light PA with MVPA was 0.85 (95% CI 0.73-0.98); P = 0.03. Mean bout duration was not associated with incident diabetes.
CONCLUSIONS: Statistically replacing ST or light PA with MVPA was associated with lower diabetes risk in older women. While reducing ST is important for several health outcomes, results indicate that to reduce diabetes risk among older adults, the primary public health focus should be on increasing MVPA.
© 2020 by the American Diabetes Association.

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Year:  2020        PMID: 33273043      PMCID: PMC7818329          DOI: 10.2337/dc20-0709

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   17.152


  38 in total

1.  Isotemporal substitution paradigm for physical activity epidemiology and weight change.

Authors:  Rania A Mekary; Walter C Willett; Frank B Hu; Eric L Ding
Journal:  Am J Epidemiol       Date:  2009-07-07       Impact factor: 4.897

2.  The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection.

Authors:  J E Ware; C D Sherbourne
Journal:  Med Care       Date:  1992-06       Impact factor: 2.983

Review 3.  Accelerometer-measured sedentary time and cardiometabolic biomarkers: A systematic review.

Authors:  Laura A Brocklebank; Catherine L Falconer; Angie S Page; Rachel Perry; Ashley R Cooper
Journal:  Prev Med       Date:  2015-04-23       Impact factor: 4.018

4.  Television watching and other sedentary behaviors in relation to risk of obesity and type 2 diabetes mellitus in women.

Authors:  Frank B Hu; Tricia Y Li; Graham A Colditz; Walter C Willett; JoAnn E Manson
Journal:  JAMA       Date:  2003-04-09       Impact factor: 56.272

5.  Prolonged sitting may increase diabetes risk in physically inactive individuals: an 11 year follow-up of the HUNT Study, Norway.

Authors:  Bjørn O Åsvold; Kristian Midthjell; Steinar Krokstad; Vegar Rangul; Adrian Bauman
Journal:  Diabetologia       Date:  2017-01-04       Impact factor: 10.122

Review 6.  Diabetes in older people: new insights and remaining challenges.

Authors:  Alan Sinclair; Trisha Dunning; Leocadio Rodriguez-Mañas
Journal:  Lancet Diabetes Endocrinol       Date:  2014-11-24       Impact factor: 32.069

7.  Patterns of accelerometer-assessed sedentary behavior in older women.

Authors:  Eric J Shiroma; Patty S Freedson; Stewart G Trost; I-Min Lee
Journal:  JAMA       Date:  2013-12-18       Impact factor: 56.272

8.  The Objective Physical Activity and Cardiovascular Disease Health in Older Women (OPACH) Study.

Authors:  Andrea Z LaCroix; Eileen Rillamas-Sun; David Buchner; Kelly R Evenson; Chongzhi Di; I-Min Lee; Steve Marshall; Michael J LaMonte; Julie Hunt; Lesley Fels Tinker; Marcia Stefanick; Cora E Lewis; John Bellettiere; Amy H Herring
Journal:  BMC Public Health       Date:  2017-02-14       Impact factor: 3.295

9.  Associations of total amount and patterns of sedentary behaviour with type 2 diabetes and the metabolic syndrome: The Maastricht Study.

Authors:  Julianne D van der Berg; Coen D A Stehouwer; Hans Bosma; Jeroen H P M van der Velde; Paul J B Willems; Hans H C M Savelberg; Miranda T Schram; Simone J S Sep; Carla J H van der Kallen; Ronald M A Henry; Pieter C Dagnelie; Nicolaas C Schaper; Annemarie Koster
Journal:  Diabetologia       Date:  2016-02-02       Impact factor: 10.122

10.  Cross-sectional and longitudinal associations between objectively measured sedentary time and metabolic disease: the Coronary Artery Risk Development in Young Adults (CARDIA) study.

Authors:  Bethany Barone Gibbs; Kelley Pettee Gabriel; Jared P Reis; John M Jakicic; Mercedes R Carnethon; Barbara Sternfeld
Journal:  Diabetes Care       Date:  2015-07-08       Impact factor: 17.152

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  4 in total

1.  Community-Dwelling Older Adults and Physical Activity Recommendations: Patterns of Aerobic, Strengthening, and Balance Activities.

Authors:  Mariana Wingood; Levi Bonnell; Andrea Z LaCroix; Dori Rosenberg; Rod Walker; John Bellettiere; Mikael Anne Greenwood-Hickman; David Wing; Nancy Gell
Journal:  J Aging Phys Act       Date:  2021-10-15       Impact factor: 2.109

2.  Replacement of Sedentary Behavior by Various Daily-Life Physical Activities and Structured Exercises: Genetic Risk and Incident Type 2 Diabetes.

Authors:  Xiang Li; Tao Zhou; Hao Ma; Zhaoxia Liang; Vivian A Fonseca; Lu Qi
Journal:  Diabetes Care       Date:  2021-06-28       Impact factor: 17.152

3.  Associations of sedentary time and physical activity with adverse health conditions: Outcome-wide analyses using isotemporal substitution model.

Authors:  Zhi Cao; Chenjie Xu; Pengjie Zhang; Yaogang Wang
Journal:  EClinicalMedicine       Date:  2022-04-28

4.  Associations of Daily Steps and Step Intensity With Incident Diabetes in a Prospective Cohort Study of Older Women: The OPACH Study.

Authors:  Alexis C Garduno; Andrea Z LaCroix; Michael J LaMonte; David W Dunstan; Kelly R Evenson; Guangxing Wang; Chongzhi Di; Benjamin T Schumacher; John Bellettiere
Journal:  Diabetes Care       Date:  2022-02-01       Impact factor: 17.152

  4 in total

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