Sedentary behavior, physical activity, and markers of health in older adults

Keith P Gennuso, Ronald E Gangnon, Charles E Matthews, Keith M Thraen-Borowski, Lisa H Colbert, Keith P Gennuso, Ronald E Gangnon, Charles E Matthews, Keith M Thraen-Borowski, Lisa H Colbert

Abstract

Introduction: The purpose of this study was to examine the association between sedentary behavior (SB), cardiometabolic risk factors, and self-reported physical function by level of moderate-vigorous physical activity (MVPA).

Methods: Cross-sectional analysis was completed on 1914 older adults age ≥ 65 yr from the 2003-2006 U.S. National Health and Nutrition Examination Survey. MVPA and SB were derived from ActiGraph accelerometers worn for 1 wk. MVPA was categorized as sufficient to meet the current U.S. guidelines (≥ 150 min · wk(-1)) or not; SB was split into quartiles. Various biomarkers were examined in laboratory analyses and physical exams, and the number of functional limitations was self-reported. Statistical interaction between SB and MVPA on the biomarker associations was the primary analysis, followed by an examination of their independent associations with relevant covariate adjustment.

Results: Average SB was 9.4 ± 2.3 h · d(-1) (mean ± SD), and approximately 35% were classified as sufficiently active. Overall, no significant meaningful statistical interactions were found between SB and MVPA for any of the outcomes; however, strong independent positive associations were found between SB and weight (P < 0.01), body mass index (P < 0.01), waist circumference (P < 0.01), C-reactive protein (P < 0.01), plasma glucose (P = 0.04), and number of functional limitations (P < 0.01) after adjustment for MVPA. Similarly, MVPA was negatively associated with weight (P = 0.01), body mass index (P < 0.01), waist circumference (P < 0.01), diastolic blood pressure (P = 0.04), C-reactive protein (P < 0.01), and number of functional limitations (P < 0.01) after adjustment for SB.

Conclusions: The results suggest that sufficient MVPA did not ameliorate the negative associations between SB and cardiometabolic risk factors or functional limitations in the current sample and that there was independence on a multiplicative scale in their associations with the outcomes examined. Thus, older adults may benefit from the joint prescription to accumulate adequate MVPA and avoid prolonged sitting.

Conflict of interest statement

CONFLICT OF INTEREST

The authors have no conflict of interest to declare

Figures

Figure 1. Time spent in sedentary behavior…
Figure 1. Time spent in sedentary behavior by level of physical activity
Sufficiently active is defined as ≥150 minutes/week of MVPA in bouts of at least 10 minutes. The proportion of each activity group by hours/day spent in sedentary behavior is plotted.
Figure 2. Independent associations between sedentary behavior,…
Figure 2. Independent associations between sedentary behavior, physical activity, and physical function
Models included both SB and sufficient/insufficient MVPA and were additionally adjusted for age, gender, ethnicity, education, income, marital status, alcohol consumption, current smoking status, cardiovascular disease, BMI, and accelerometer wear time. Quartiles of SB were: ≥10.64, 10.63–9.18, 9.17–7.93, and 0–7.92 hours/day. Sufficiently active is defined as ≥150 minutes/week of MVPA in bouts of at least 10 minutes.

References

    1. Bankoski A, Harris TB, McClain JJ, Brychta RJ, Caserotti P, Chen KY, Berrigan D, Troiano RP, Koster A. Sedentary activity associated with metabolic syndrome independent of physical activity. Diabetes care. 2011;34(2):497–503.
    1. Centers for Disease Control and Prevention (CDC), and National Center for Health Statistics (NCHS) National Health and Nutrition Examination Survey Data [Internet] Hyattsville, MD: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention; [cited 2012 Jul 21]. Available from: .
    1. Centers for Disease Control and Prevention (CDC), and National Center for Health Statistics (NCHS) National Health and Nutrition Examination Survey Examination Protocol [Internet] Hyattsville, MD: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention; [cited 2012 Jul 21]. Available from: .
    1. Centers for Disease Control and Prevention (CDC), and National Center for Health Statistics (NCHS) National Health and Nutrition Examination Survey Laboratory Protocol [Internet] Hyattsville, MD: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention; [cited 2012 Jul 21]. Available from: .
    1. Centers for Disease Control and Prevention (CDC), and National Center for Health Statistics (NCHS) National Health and Nutrition Examination Survey Questionnaires, Examination Components and Laboratory Components 2005–2006 [Internet] Hyattsville, MD: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention; [cited 2012 Jul 21]. Available from: .
    1. Chastin SF, Ferriolli E, Stephens NA, Fearon KC, Greig C. Relationship between sedentary behaviour, physical activity, muscle quality and body composition in healthy older adults. Age Ageing. 2012;41(1):111–4.
    1. Chodzko-Zajko WJ, Proctor DN, Fiatarone Singh MA, Minson CT, Nigg CR, Salem GJ, Skinner JS, American College of Sports Medicine American College of Sports Medicine position stand. Exercise and physical activity for older adults. Med Sci Sports Exerc. 2009;41(7):1510–30.
    1. Dallal CM, Brinton LA, Matthews CE, Lissowska J, Peplonska B, Hartman TJ, Gierach GL. Accelerometer-based measures of active and sedentary behavior in relation to breast cancer risk. Breast Cancer Res Treat. 2012 Aug;134(3):1279–90.
    1. Dunstan DW, Salmon J, Owen N, Armstrong T, Zimmet PZ, Welborn TA, Cameron AJ, Dwyer T, Jolley D, Shaw JE, AusDiab Steering C. Associations of TV viewing and physical activity with the metabolic syndrome in Australian adults. Diabetologia. 2005;48(11):2254–61.
    1. Freedson PS, Melanson E, Sirard J. Calibration of the Computer Science and Applications, Inc. accelerometer. Med Sci Sports Exerc. 1998;30(5):777–81.
    1. Gardiner PA, Healy GN, Eakin EG, Clark BK, Dunstan DW, Shaw JE, Zimmet PZ, Owen N. Associations between television viewing time and overall sitting time with the metabolic syndrome in older men and women: the Australian Diabetes, Obesity and Lifestyle study. J Am Geriatr Soc. 2011;59(5):788–96.
    1. Gierach GL, Chang SC, Brinton LA, Lacey JV, Jr, Hollenbeck AR, Schatzkin A, Leitzmann MF. Physical activity, sedentary behavior, and endometrial cancer risk in the NIH-AARP Diet and Health Study. Int j cancer. 2009;124(9):2139–47.
    1. Healy GN, Matthews CE, Dunstan DW, Winkler EA, Owen N. Sedentary time and cardio-metabolic biomarkers in US adults: NHANES 2003–06. Eur Heart J. 2011;32(5):590–7.
    1. Hu FB, Li TY, Colditz GA, Willett WC, Manson JE. Television watching and other sedentary behaviors in relation to risk of obesity and type 2 diabetes mellitus in women. JAMA. 2003;289(14):1785–91.
    1. Inoue S, Sugiyama T, Takamiya T, Oka K, Owen N, Shimomitsu T. Television Viewing Time is Associated with Overweight/Obesity Among Older Adults, Independent of Meeting Physical Activity and Health Guidelines. J Epidemol. 2011;22(1):50–6.
    1. Katzmarzyk PT, Church TS, Craig CL, Bouchard C. Sitting time and mortality from all causes, cardiovascular disease, and cancer. Med Sci Sports Exerc. 2009;41(5):998–1005.
    1. Lynch BM, Friedenreich CM, Winkler EA, Healy GN, Vallance JK, Eakin EG, Owen N. Associations of objectively assessed physical activity and sedentary time with biomarkers of breast cancer risk in postmenopausal women: findings from NHANES (2003–2006) Breast Cancer Res Treat. 2011;130(1):183–94.
    1. Matthew CE. Calibration of accelerometer output for adults. Med Sci Sports Exerc. 2005;37(11 Suppl):S512–22.
    1. Matthews CE, Chen KY, Freedson PS, Buchowski MS, Beech BM, Pate RR, Troiano RP. Amount of time spent in sedentary behaviors in the United States, 2003–2004. AM J Epidemol. 2008;167(7):875–81.
    1. Owen N, Leslie E, Salmon J, Fotheringham MJ. Environmental determinants of physical activity and sedentary behavior. Exerc Sport Sci Rev. 2000;28(4):153–8.
    1. Santos DA, Silva AM, Baptista F, Santos R, Vale S, Mota J, Sardinha LB. Sedentary behavior and physical activity are independently related to functional fitness in older adults. Exp Gerontol. 2012;47(12):908–12.
    1. Sedentary Behaviour Research Network. Letter to the editor: standardized use of the terms “sedentary” and “sedentary behaviours”. Appl Physiol Nutr Metab. 2012;37(3):540–2.
    1. Seguin R, Lamonte M, Tinker L, Liu J, Woods N, Michael YL, Bushnell C, Lacroix AZ. Sedentary Behavior and Physical Function Decline in Older Women: Findings from the Women’s Health Initiative. J Aging Res. 2012 Epub.
    1. Stamatakis E, Davis M, Stathi A, Hamer M. Associations between multiple indicators of objectively-measured and self-reported sedentary behaviour and cardiometabolic risk in older adults. Prev Med. 2012;54(1):82–7.
    1. Swartz AM, Tarima S, Miller NE, Hart TL, Grimm EK, Rote AE, Strath SJ. Prediction of body fat in older adults by time spent in sedentary behavior. J Aging Phys Act. 2012;20(3):332–44.
    1. Troiano RP, Berrigan D, Dodd KW, Masse LC, Tilert T, McDowell M. Physical activity in the United States measured by accelerometer. Med Sci Sports Exerc. 2008;40(1):181–8.
    1. U.S. Department of Health and Human Services. Physical Activity Guidelines Advisory Committee Report, 2008 [Internet] Washington, DC: U.S. Department of Health and Human Services; Physical Activity Guidelines Advisory Committee. [Cited 2008 July 28]. Available from: .
    1. Vallance JK, Winkler EA, Gardiner PA, Healy GN, Lynch BM, Owen N. Associations of objectively-assessed physical activity and sedentary time with depression: NHANES (2005–2006) Prev Med. 2011;53(4–5):284–8.

Source: PubMed

3
Iratkozz fel