Association between objectively measured sedentary behavior and a criterion measure of obesity among adults

Mun, Junbae; Kim, Youngdeok; Farnsworth, James L.; Suh, Sunghyeok; Kang, Minsoo

doi:10.1002/ajhb.23080

Cited by 20 publications

(14 citation statements)

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“…As expected, both BMI and WC models showed an increasing odds of being obese as TV time increased. Similar findings relating sedentary behavior with obesity have been shown using both subjective and objective measures of sedentary behavior in adults [24,25,26,27]. A novel finding from this study, however, was the increasing greater odds of being both BMI and WC obese with ascending TV times.…”

Section: Discussionsupporting

confidence: 85%

A Multinomial Logistic Regression Examination of TV Time and Two Different Measures of Obesity in U.S. Adults

Hart¹

2018

AJPHR

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Background: Physical inactivity and sedentary behavior are known factors related to the growing obesity rates in US adults. However, most population-based physical activity research primarily use a single measure of obesity. Therefore, the purpose of this study was to examine the relationship between television (TV) time and two different measures of obesity in US adults. Methods: This study used data from adults 20+ years of age participating in the 2015-2016 National Health and Nutrition Examination Survey (NHANES). Using body mass index (BMI), participants were categorized as obese if their values were 30 kg/m 2 or greater. Using waist circumference (WC), participants were categorized as obese if their values were greater than 88 (females) or 102 cm (males). TV time was assessed from a survey question and adults were categorized into one of four different groups. Multinomial logistic regression was used to model the relationship between TV time and three different obese status categories. Results: In fully adjusted models, odds of being BMI obese (OR=1.98; 95% CI: 1.32-2.98) and WC obese (OR=2.76; 95% CI: 1.88-4.05) were significantly greater in adults with 5+ hours of TV time as compared to those with < 1 hour. In fully adjusted multinomial models, odds of being BMI or WC obese (OR=2.18; 95% CI: 1.43-3.34) and BMI and WC obese (OR=2.80; 95% CI: 1.68-4.65) were significantly greater in adults with 5+ hours of TV time as compared to those with < 1 hour. Conclusion: Results from this study indicate that TV time is clearly related to both overall and abdominal obesity in US adults. Furthermore, this relationship remains in light of MVPA and appears stronger for adults with both types of obesity.

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Section: Discussionsupporting

confidence: 85%

A Multinomial Logistic Regression Examination of TV Time and Two Different Measures of Obesity in U.S. Adults

Hart¹

2018

AJPHR

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“…1 The energy expenditure range for sedentary behaviors such as computer use, TV viewing, or sitting in an automobile is typically from 1.0 to 1.5 metabolic equivalents. 2 Sedentary behaviors seem to be strongly related to a range of health outcomes, [3][4][5][6] such as overweight/obesity, [7][8][9] cardiovascular disease, 10,11 cholesterol, 4,12 type 2 diabetes, 13,14 and metabolic syndrome. 15,16 Studies of the relationship between sedentary behaviors and obesity in adolescents are emerging, potentially due to the high and rapidly increasing prevalence of overweight/obesity in this age group in the United States and worldwide.…”

Section: Introductionmentioning

confidence: 99%

Secular Trends in Sedentary Behavior Among High School Students in the United States, 2003 to 2015

et al. 2019

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Purpose: To evaluate secular trends in recreational sedentary behavior among high school students in the United States between 2003 and 2015. Design: A series of cross-sectional assessments over a 12-year period. Setting: Data from the 2003 to 2015 Youth Risk Behavior Surveillance System was used. Participants: Samples of 10 978 to 14 894 adolescents, drawn every 2 years: 2003 to 2015. Measures: The evaluated recreational self-reported sedentary behaviors included TV hours and computer hours that are not schoolwork. Results: For the entire sample, and using polynomial orthogonal coefficients via regression modeling, there was an upward linear trend for total sedentary behavior hours (β = 0.03; p = .001), a downward linear trend in TV watching (β = −0.06; p < .001), and an upward linear trend in computer use (β = 0.08; p < .001) from 2003 to 2015. Similar linear trends ( p < .001) were observed across several subpopulations, including the groups by gender, race/ethnicity, and body mass index. However, various subpopulations differed in TV watching, with black or African American, and obese adolescents having the highest TV watching hours, respectively (eg, 3.82 h/d vs 3.13 h/d in 2015; blacks vs whites; p < .05). Various subpopulations also differed in computer use, with obese adolescents (4.26 h/d in 2015) having the highest computer use. Conclusion: There were significant changes from 2003 to 2015 in sedentary behavior patterns in the US adolescent population. Total recreational sedentary behavior increased in this period. Specifically, TV viewing decreased while computer use increased. Continued monitoring of sedentary behavior trends is needed to better understand the changing behaviors of American adolescents and how they relate to changes chronic disease risk.

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“…The time spent in sedentary behaviour is increasing in modern societies, and it currently represents an important public health burden [1]. Sedentary lifestyle is a risk factor for all-cause mortality [2–4], metabolic syndrome or type 2 diabetes [5], obesity [6], and even cancer [7], independently of physical activity levels [2]. To reduce sedentary time in the general population, the simplest, most effective, and most accessible method is to decrease lying and sitting time [8].…”

Section: Introductionmentioning

confidence: 99%

Energy expenditure differences across lying, sitting, and standing positions in young healthy adults

et al. 2019

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The time spent in sedentary behaviour represents an important public health burden. To reduce sedentary time in the general population, the simplest, most effective, and most accessible method is to decrease lying and sitting time. We aimed to compare differences on energy expenditure (EE) across lying, sitting, and standing positions; and to analyse the associations between the change on EE of changing from one position to another and anthropometric and body composition parameters in young healthy adults. A total of 55 (69% women) young healthy adults aged 21.7 ± 2.2 participated in the study. We measured EE by indirect calorimetry across lying, sitting, and standing positions following the standard procedures. The EE was significantly higher in standing than in both lying and sitting positions (mean difference: 0.121±0.292 and 0.125±0.241 kcal/min, respectively; all P<0.001), and no differences were observed between lying and sitting positions (P = 1.000). There was a negative association between the EE differences in sitting vs. standing position and lean body mass (P = 0.048), yet no associations between EE differences with the rest of the anthropometric and body composition parameters were observed in each position pair studied (all P>0.321). Our findings support the fact that increasing the time spent standing could be a simple strategy to slightly increase EE. Therefore, our results have important clinical implications including a better monitoring, characterizing, and promoting countermeasures to sedentariness through low-level physical activities.

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Association between objectively measured sedentary behavior and a criterion measure of obesity among adults

Abstract: This finding suggests that avoiding SB may be beneficial for lowering the risk of obesity in adults.

Cited by 20 publications

References 14 publications

A Multinomial Logistic Regression Examination of TV Time and Two Different Measures of Obesity in U.S. Adults

A Multinomial Logistic Regression Examination of TV Time and Two Different Measures of Obesity in U.S. Adults

Secular Trends in Sedentary Behavior Among High School Students in the United States, 2003 to 2015

Energy expenditure differences across lying, sitting, and standing positions in young healthy adults

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