Literature DB >> 29479645

Association of sitting time and breaks in sitting with muscle mass, strength, function, and inflammation in community-dwelling older adults.

N Reid1, G N Healy2,3,4, J Gianoudis5, M Formica5, P A Gardiner6,7, E E Eakin2, C A Nowson5, R M Daly5,8.   

Abstract

The mechanisms through which excessive sitting time impacts health are important to understand. This study found that each hour of sitting per day was not associated with physical function, although associations with poor body composition were observed. Reducing sitting time for improved weight management in older adults needs further exploration.
INTRODUCTION: To examine the association of sitting time and breaks in sitting time with muscle mass, strength, function, and inflammation in older Australians.
METHODS: Data from the thigh-worn activPAL3™ monitor (7-day continuous wear) was used to derive time spent sitting (hours) and total number of sit-stand transitions per day. Body composition (dual energy X-ray absorptiometry), lower-body muscle strength, function (timed up-and-go [TUG], 4-m gait speed, four square step test, 30-second sit-to-stand), and serum inflammatory markers (interleukin-[IL-6], IL-8, IL-10, tumor necrosis factor-alpha [TNF-α], and adiponectin) were measured. Multiple regression analyses, adjusted for age, sex, ethnicity, education, employment status, marital status, number of prescription medications, smoking status, vitamin D, and stepping time, were used to assess the associations.
RESULTS: Data from 123 community-dwelling older adults (aged 65-84 years, 63% female) were used. Total daily sitting time was associated with lower percentage lean mass (β [95%CI], - 1.70% [- 2.30, - 1.10]) and higher total body fat mass (2.92 kg [1.94, 3.30]). More frequent breaks in sitting time were associated with a 45% reduced risk of having pre-sarcopenia (OR = 0.55; 95% CI 0.34, 0.91; model 1), defined as appendicular lean mass divided by BMI. No significant associations were observed for sitting time or breaks in sitting with measures of muscle strength, function, or inflammation.
CONCLUSION: In older community-dwelling adults, greater sitting time was associated with a lower percentage lean mass, while more frequent breaks in sitting time were associated with lower odds of having pre-sarcopenia. This suggests that reducing sedentary time and introducing frequent breaks in sedentary time may be beneficial for improving body composition in healthy older adults.

Entities:  

Keywords:  Body composition; Inflammation; Objective measures; Pre-sarcopenia; Sedentary behavior

Mesh:

Substances:

Year:  2018        PMID: 29479645     DOI: 10.1007/s00198-018-4428-6

Source DB:  PubMed          Journal:  Osteoporos Int        ISSN: 0937-941X            Impact factor:   4.507


  46 in total

1.  A clinical test of stepping and change of direction to identify multiple falling older adults.

Authors:  Wayne Dite; Viviene A Temple
Journal:  Arch Phys Med Rehabil       Date:  2002-11       Impact factor: 3.966

2.  Sarcopenic obesity: the confluence of two epidemics.

Authors:  Ronenn Roubenoff
Journal:  Obes Res       Date:  2004-06

3.  Activity-monitor accuracy in measuring step number and cadence in community-dwelling older adults.

Authors:  P Margaret Grant; Philippa M Dall; Sarah L Mitchell; Malcolm H Granat
Journal:  J Aging Phys Act       Date:  2008-04       Impact factor: 1.961

4.  Sedentary behavior and physical activity are independently related to functional fitness in older adults.

Authors:  Diana A Santos; Analiza M Silva; Fátima Baptista; Rute Santos; Susana Vale; Jorge Mota; Luís B Sardinha
Journal:  Exp Gerontol       Date:  2012-08-01       Impact factor: 4.032

5.  A 30-s chair-stand test as a measure of lower body strength in community-residing older adults.

Authors:  C J Jones; R E Rikli; W C Beam
Journal:  Res Q Exerc Sport       Date:  1999-06       Impact factor: 2.500

6.  Sarcopenia as a risk factor for falls in elderly individuals: results from the ilSIRENTE study.

Authors:  Francesco Landi; Rosa Liperoti; Andrea Russo; Silvia Giovannini; Matteo Tosato; Ettore Capoluongo; Roberto Bernabei; Graziano Onder
Journal:  Clin Nutr       Date:  2012-03-11       Impact factor: 7.324

Review 7.  Exercise to prevent falls in older adults: an updated systematic review and meta-analysis.

Authors:  Catherine Sherrington; Zoe A Michaleff; Nicola Fairhall; Serene S Paul; Anne Tiedemann; Julie Whitney; Robert G Cumming; Robert D Herbert; Jacqueline C T Close; Stephen R Lord
Journal:  Br J Sports Med       Date:  2016-10-04       Impact factor: 13.800

8.  The Prognostic Validity of the Timed Up and Go Test With a Dual Task for Predicting the Risk of Falls in the Elderly.

Authors:  Martin Hofheinz; Michael Mibs
Journal:  Gerontol Geriatr Med       Date:  2016-03-16

9.  Associations of Monitor-Assessed Activity with Performance-Based Physical Function.

Authors:  Natasha Reid; Robin M Daly; Elisabeth A H Winkler; Paul A Gardiner; Elizabeth G Eakin; Neville Owen; David W Dunstan; Genevieve N Healy
Journal:  PLoS One       Date:  2016-04-13       Impact factor: 3.240

10.  The association between objectively measured sitting and standing with body composition: a pilot study using MRI.

Authors:  L Smith; E L Thomas; J D Bell; M Hamer
Journal:  BMJ Open       Date:  2014-06-10       Impact factor: 2.692

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1.  Total Sedentary Time and Cognitive Function in Middle-Aged and Older Adults: A Systematic Review and Meta-analysis.

Authors:  Kirsten Dillon; Anisa Morava; Harry Prapavessis; Lily Grigsby-Duffy; Adam Novic; Paul A Gardiner
Journal:  Sports Med Open       Date:  2022-10-12

Review 2.  Use of activPAL to Measure Physical Activity in Community-Dwelling Older Adults: A Systematic Review.

Authors:  Jennifer Blackwood; Rie Suzuki; Noah Webster; Hannah Karczewski; Tyler Ziccardi; Shailee Shah
Journal:  Arch Rehabil Res Clin Transl       Date:  2022-03-12

3.  Best Practices for Conducting Observational Research to Assess the Relation between Nutrition and Bone: An International Working Group Summary.

Authors:  Regan L Bailey; Shivani Sahni; Patricia Chocano-Bedoya; Robin M Daly; Ailsa A Welch; Heike Bischoff-Ferrari; Connie M Weaver
Journal:  Adv Nutr       Date:  2019-05-01       Impact factor: 8.701

4.  A Cross-Sectional Examination of Patterns of Sedentary Behavior and Cardiometabolic Risk in Community-Dwelling Adults Aged 55 Years and Older.

Authors:  Kelsey L McAlister; Daniela A Rubin; Koren L Fisher
Journal:  J Aging Res       Date:  2020-06-01

5.  Displacing Sedentary Behaviour with Light Intensity Physical Activity Spontaneously Alters Habitual Macronutrient Intake and Enhances Dietary Quality in Older Females.

Authors:  Dale Grant; David Tomlinson; Kostas Tsintzas; Petra Kolic; Gladys Onambele-Pearson
Journal:  Nutrients       Date:  2020-08-13       Impact factor: 5.717

6.  Physical activity, sedentary behavior and functionality in older adults: A cross-sectional path analysis.

Authors:  Cíntia Aparecida Garcia Meneguci; Joilson Meneguci; Jeffer Eidi Sasaki; Sheilla Tribess; Jair Sindra Virtuoso Júnior
Journal:  PLoS One       Date:  2021-01-29       Impact factor: 3.240

7.  Minimizing sedentary behavior (without increasing medium-to-vigorous exercise) associated functional improvement in older women is somewhat dependent on a measurable increase in muscle size.

Authors:  Dale Grant; David Tomlinson; Kostas Tsintzas; Petra Kolić; Gladys Onambélé-Pearson
Journal:  Aging (Albany NY)       Date:  2020-12-03       Impact factor: 5.682

8.  Association between dietary protein intake and skeletal muscle mass in older Korean adults.

Authors:  Ha-Na Kim; Sang-Wook Song
Journal:  Eur Geriatr Med       Date:  2021-06-22       Impact factor: 1.710

9.  Descriptive Epidemiology of Interruptions to Free-Living Sitting Time in Middle-Age and Older Adults.

Authors:  Jennifer M Blankenship; Elisabeth A H Winkler; Genevieve N Healy; Paddy C Dempsey; John Bellettiere; Neville Owen; David W Dunstan
Journal:  Med Sci Sports Exerc       Date:  2021-12-01       Impact factor: 5.411

10.  Device-measured sedentary behavior and physical activity in older adults differ by demographic and health-related factors.

Authors:  Ing-Mari Dohrn; Paul A Gardiner; Elisabeth Winkler; Anna-Karin Welmer
Journal:  Eur Rev Aging Phys Act       Date:  2020-06-11       Impact factor: 3.878

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