Literature DB >> 22187638

Sedentary behaviors, weight, and health and disease risks.

Hollie A Raynor1, Dale S Bond, Patty S Freedson, Susan B Sisson.   

Abstract

Entities:  

Year:  2011        PMID: 22187638      PMCID: PMC3236513          DOI: 10.1155/2012/852743

Source DB:  PubMed          Journal:  J Obes        ISSN: 2090-0708


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Prior to the 1980s, very little thought was given to sedentary behaviors and how they may impact health. In 1985, the first study to investigate the relationship between a sedentary behavior, television viewing, and weight status was published by Dietz and Gortmaker [1]. In this study, the relationship between television viewing and weight status in children and adolescents was examined cross-sectionally and longitudinally, using data from the National Health Examination Survey. Results indicated that television viewing was positively related to the prevalence of obesity, both cross-sectionally and longitudinally. This investigation led to a growing body of research examining the mechanisms by which television watching impacted weight status and if reducing television watching could improve weight status in children. Outcomes from this area of research informed the development of the recommendation that screen time should be limited to ≤2 hours per day in children [2]. Initially, the term “sedentary” was used to describe behaviors that were not considered to meet energy expenditure levels equivalent to moderate-intensity physical activity. Additionally, attention was focused on sedentary behaviors occurring during leisure time, thus television viewing and recreational computer use were the sedentary behaviors that were predominantly reported in early investigations of sedentary behaviors. Since the 1980s, sedentary behaviors have become more clearly defined and are now classified by energy expenditure level, similar to the way that physical activities are classified. Sedentary behaviors are characterized by minimal movement and a very low level of energy expenditure (<1.5 metabolic equivalent units (METs)) similar to that which is required to sit quietly [3, 4]. Thus, sedentary pursuits are primarily sitting behaviors that occur in a variety of domains (i.e., leisure, occupation, transportation, and recreation) and include working/playing on the computer, driving a car, and watching television. While sedentary behaviors have been associated with deleterious health outcomes in children for almost thirty years, sedentary behaviors are now also associated with morbidity in adults. Recent observational epidemiological research indicates that the more time spent being sedentary, independent of time engaging in physical activity, the greater the risk of developing type 2 diabetes [5], cardiovascular disease [5, 6], metabolic syndrome [7], weight gain [8-10], and obesity [11, 12]. Furthermore, evidence suggests that sedentary behaviors are an independent risk factor for all-cause and cardiovascular-related mortality [5, 13–15]. There are many proposed mechanisms by which sedentary behaviors may negatively influence health. For television watching, it was initially proposed that watching television may reduce energy expenditure, by competing with time to engage in physical activity, and increase energy intake, by serving as a cue for eating [16-19]. However, there is growing evidence suggesting that engaging in increased amounts of sedentary behaviors can have adverse effects on health that are distinct from those related to insufficient physical activity [4, 14, 20, 21]. Experimental studies show that prolonged sitting and lack of contraction of lower limb muscles lead to metabolic abnormalities via suppressed action of muscle lipoprotein lipase and insulin, supporting a unique “inactivity physiology” paradigm [20, 22–25]. Thus, sedentary behaviors may influence health via pathways that are independent of both physical activity and food consumption. Traditionally, while sedentary behaviors are believed to influence health through energy balance behaviors, the potential distinct mechanism by which sedentary behaviors may negatively influence health suggests that sedentary behaviors should potentially be targeted independently from physical activity and dietary intake in interventions designed to reduce risk type 2 diabetes, cardiovascular disease, and metabolic syndrome. The purpose of this special issue is to explore some of the unresolved issues pertaining to sedentary behaviors, weight, and health and disease risk in children and adults. The papers in this special issue assist in broadening the understanding of the relationship between sedentary behaviors, weight, and health. The topics regarding sedentary behaviors addressed in this issue include assessment of sedentary behaviors, the relationship of sedentary behaviors with other health behaviors and outcomes, how energy expenditure during sedentary behaviors may be increased, and outcomes for interventions designed to reduce sedentary behaviors. If experimental studies verify that sedentary behaviors are related to health outcomes that are public health priorities, continued research is needed to understand the pathways by which sedentary behaviors negatively impact health and how sedentary time can be reduced. Additionally, as the types and amount of sedentary behavior engaged in may be different in children versus adults due to differences in how time is spent and choices made about leisure-time activities, future research should investigate sedentary behaviors across the lifespan. Hollie A. Raynor Dale S. Bond Patty S. Freedson Susan B. Sisson
  24 in total

Review 1.  Lack of regular physical exercise or too much inactivity.

Authors:  John P Thyfault; Frank W Booth
Journal:  Curr Opin Clin Nutr Metab Care       Date:  2011-07       Impact factor: 4.294

2.  The evolving definition of "sedentary".

Authors:  Russell R Pate; Jennifer R O'Neill; Felipe Lobelo
Journal:  Exerc Sport Sci Rev       Date:  2008-10       Impact factor: 6.230

Review 3.  Sedentary behaviors and subsequent health outcomes in adults a systematic review of longitudinal studies, 1996-2011.

Authors:  Alicia A Thorp; Neville Owen; Maike Neuhaus; David W Dunstan
Journal:  Am J Prev Med       Date:  2011-08       Impact factor: 5.043

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.  Do we fatten our children at the television set? Obesity and television viewing in children and adolescents.

Authors:  W H Dietz; S L Gortmaker
Journal:  Pediatrics       Date:  1985-05       Impact factor: 7.124

6.  Television viewing time independently predicts all-cause and cardiovascular mortality: the EPIC Norfolk study.

Authors:  Katrien Wijndaele; Søren Brage; Hervé Besson; Kay-Tee Khaw; Stephen J Sharp; Robert Luben; Nicholas J Wareham; Ulf Ekelund
Journal:  Int J Epidemiol       Date:  2010-06-23       Impact factor: 7.196

7.  Television viewing time and reduced life expectancy: a life table analysis.

Authors:  J Lennert Veerman; Genevieve N Healy; Linda J Cobiac; Theo Vos; Elisabeth A H Winkler; Neville Owen; David W Dunstan
Journal:  Br J Sports Med       Date:  2012-10       Impact factor: 13.800

8.  Sedentary activity associated with metabolic syndrome independent of physical activity.

Authors:  Andrea Bankoski; Tamara B Harris; James J McClain; Robert J Brychta; Paolo Caserotti; Kong Y Chen; David Berrigan; Richard P Troiano; Annemarie Koster
Journal:  Diabetes Care       Date:  2011-02       Impact factor: 19.112

9.  Physical activity patterns and prevention of weight gain in premenopausal women.

Authors:  R A Mekary; D Feskanich; S Malspeis; F B Hu; W C Willett; A E Field
Journal:  Int J Obes (Lond)       Date:  2009-06-23       Impact factor: 5.095

10.  Screen time and physical activity during adolescence: longitudinal effects on obesity in young adulthood.

Authors:  Janne E Boone; Penny Gordon-Larsen; Linda S Adair; Barry M Popkin
Journal:  Int J Behav Nutr Phys Act       Date:  2007-06-08       Impact factor: 6.457

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  11 in total

1.  Self-affirmation alters the brain's response to health messages and subsequent behavior change.

Authors:  Emily B Falk; Matthew Brook O'Donnell; Christopher N Cascio; Francis Tinney; Yoona Kang; Matthew D Lieberman; Shelley E Taylor; Lawrence An; Kenneth Resnicow; Victor J Strecher
Journal:  Proc Natl Acad Sci U S A       Date:  2015-02-02       Impact factor: 11.205

2.  Investigation of obesity, eating behaviors and physical activity levels living in rural and urban areas during the covid-19 pandemic era: a study of Turkish adolescent.

Authors:  Mehmet Gülü; Hakan Yapici; Elena Mainer-Pardos; Ana Ruivo Alves; Hadi Nobari
Journal:  BMC Pediatr       Date:  2022-07-11       Impact factor: 2.567

3.  Prevalence and demographic correlates of overweight and obesity among children in a transitional southeastern European population.

Authors:  Jolanda Hyska; Ehadu Mersini; Iris Mone; Genc Burazeri
Journal:  J Community Health       Date:  2014-10

4.  Self-reported and objectively measured sedentary behavior in bariatric surgery candidates.

Authors:  Dale S Bond; J Graham Thomas; Jessica L Unick; Hollie A Raynor; Sivamainthan Vithiananthan; Rena R Wing
Journal:  Surg Obes Relat Dis       Date:  2012-09-29       Impact factor: 4.734

5.  Physical activity monitoring in extremely obese adolescents from the Teen-LABORATORIES study.

Authors:  Renee M Jeffreys; Thomas H Inge; Todd M Jenkins; Wendy C King; Vedran Oruc; Andrew D Douglas; Molly S Bray
Journal:  J Phys Act Health       Date:  2014-09-10

6.  Understanding parent perceptions of healthy physical activity for their child with a chronic medical condition: A cross-sectional study.

Authors:  Janet A McMullen; Brian W McCrindle; Sharon D Dell; Brian M Feldman; Patricia E Longmuir
Journal:  Paediatr Child Health       Date:  2018-10-04       Impact factor: 2.253

7.  Physical inactivity and sedentary behaviors in the Bangladeshi population during the COVID-19 pandemic: An online cross-sectional survey.

Authors:  Md Estiar Rahman; Md Saiful Islam; Md Sajan Bishwas; Mst Sabrina Moonajilin; David Gozal
Journal:  Heliyon       Date:  2020-10-30

8.  Lifestyle and dietary factors associated with the evolution of cardiometabolic risk over four years in West-African adults: the Benin study.

Authors:  Charles Sossa; Hélène Delisle; Victoire Agueh; Roger Sodjinou; Gervais Ntandou; Michel Makoutodé
Journal:  J Obes       Date:  2013-03-12

9.  "Obese equals lazy?" analysis of the association between weight status and physical activity in children.

Authors:  F Kreuser; K Kromeyer-Hauschild; A Gollhofer; U Korsten-Reck; K Röttger
Journal:  J Obes       Date:  2013-02-28

10.  Data-as-a-Service Platform for Delivering Healthy Lifestyle and Preventive Medicine: Concept and Structure of the DAPHNE Project.

Authors:  Catherine Gibbons; Gonzalo Bailador Del Pozo; Javier Andrés; Tim Lobstein; Melania Manco; Hadas Lewy; Einat Bergman; David O'Callaghan; Gavin Doherty; Olga Kudrautseva; Angel Palomares; Roni Ram; Alberto Olmo
Journal:  JMIR Res Protoc       Date:  2016-12-09
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