Association between television viewing and the risk of metabolic syndrome in a community-based population

Chang, Pei-Chia; Li, Tsai‐Chung; Wu, Ming-Tsang; Liu, Chiu-Shong; Li, Chia‐Ing; Chen, Ching‐Chu; Lin, Wen‐Yuan; Yang, Shin-Yuh; Lin, Cheng‐Chieh

doi:10.1186/1471-2458-8-193

Cited by 64 publications

(60 citation statements)

References 43 publications

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“…A sizeable body of cross-sectional and prospective evidence suggests that sedentary behavior and physical activity are independently associated with BMI in adults. [20][21][22][23][24] In fact, research has found relatively low correlations between time spent in physical activity and sedentary behavior. 24,25 However, it is unclear whether the strength of the association between sedentary behavior and BMI varies according to time spent in physical activity, or vice versa.…”

Section: Introductionmentioning

confidence: 99%

Joint associations of physical activity and sedentary behaviors with body mass index: results from a time use survey of US adults

et al. 2009

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Objective: Obesity risk is negatively associated with physical activity and positively associated with time spent in sedentary behaviors. Yet, it is not known how different combinations of sedentary and active behavior are associated with body mass index (BMI). This study examined the interaction between time spent in physical activity and sedentary behavior on BMI in US adults. Design: Cross-sectional, data from the 2006 American Time Use Survey. Subjects: 10 984 non-underweight adults (aged 21 þ years). Measurement: A phone interview assessed all activities performed in the past 24 h, height, weight, health status, and other sociodemographic characteristics. Time spent in (1) moderate-to-vigorous leisure-time physical activity (MVPA), (2) active transportation (walking, biking), (3) sedentary leisure activities (TV/movie watching, computer use, playing games, reading), and (4) sedentary transportation (motorized vehicles) was determined from activity coding. BMI was calculated. Results: After adjusting for age, gender, education level, race/ethnicity, and health status, sample-weighted linear regressions found significant interactions for leisure MVPA Â TV/movies, leisure MVPA Â playing games, active transportation Â sedentary transportation, and active transportation Â reading (Pso0.0001). For example, the group of adults watching o60 min per day of TV/movies and engaging in X60 min per day of leisure MVPA had lower average BMI compared to the group watching o60 min per day of TV/movies and reporting o60 min per day of leisure MVPA (Po0.0001). In contrast, for adults watching X189 min per day of TV/movies, there was not a significant difference in BMI by time spent in leisure MVPA. Conclusion: Data from a US time use survey indicate that the strength of the association between certain types of sedentary behavior and BMI varies according to time spent in certain types of physical activity and vice versa.

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Section: Introductionmentioning

confidence: 99%

Joint associations of physical activity and sedentary behaviors with body mass index: results from a time use survey of US adults

et al. 2009

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“…Finally, the findings of the current study may be limited by the use of the specific thresholds to summarize accelerometer. However, the threshold of 100 cpm to define sedentary behaviour has been previously proposed by Treuth et al [41][42][43][44].…”

Section: Discussionmentioning

confidence: 99%

Sedentarism and Physical Inactivity Patterns Correlated with HOMA-IR in European Adolescents, the Helena Study

Aikaterini¹,

Kondaki²,

Kurlaba³

et al. 2017

J Nutr Food Sci

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Objective: The aim of the present study was to examine the independent association between time spent on sedentary activity, either objectively measured or self-reported and IR proxy measures in European adolescents. Methods:A subset (n=1,097) of a large multicentre European study in adolescents (HELENA-CSS study) was used in the present study. Homeostasis model assessment (HOMA)-IR was calculated. Serum concentrations of glucose (GF) and insulin (IF) were measured after an overnight fast. The HOMA-IR was calculated as IF (µlU/mL) × GF (mmol/l)/22.5 (to convert IF values in µlU/mL to pmol/l multiply by 6.945) sedentary time and the time spent on moderate-to-vigorous physical activity (MVPA) was objectively measured by using accelerometers. Moreover, the daily minutes spent on sedentary activities were recorded through a self-report sedentary behaviour questionnaire.Results: Univariate analyses showed that HOMA-IR levels were significantly higher among adolescents watching TV ≥ 2h/day (1.87 (C.I.1.31, 2.66)) compared to the rest of adolescents (2.02 (1.44, 2.82), p=0.011). Moreover, the objectively measured MVPA was inversely correlated to HOMA-IR (rho=-0.117, p=0.023). Multilevel linear regression analysis revealed that adolescents watching TV ≥ 2 h/day had significantly higher HOMA-IR even after controlling for gender, age, total energy intake, total fat intake, simple carbohydrate intake and pubertal stage (p=0.007). Further adjustment for MVPA, showed that TV viewing time remained significantly related to the IR (p=0.002). In this model, MVPA was also inversely associated with HOMA-IR levels (p=0.001). Finally, further controlling for waist circumference showed that adolescents exceeding the limit of 2 h/day watching TV continued to have higher HOMA-IR levels (p=0.002). Stratified analysis by BMI status, revealed that TV viewing time is independently associated with HOMA-IR only among normal weight adolescents, while MVPA was inversely associated with IR in both overweight/ obese and normal weight adolescents. Conclusions:The results of the present study indicate that time spent watching TV and at MVPA is related to IR independent of central fat mass and total energy intake in normal weight European adolescents, while MVPA seems to protect adolescents from developing IR even among overweight/obese adolescents. Therefore, intervention programmes aiming at reducing sedentary behaviours and increasing overall moderate-intensity activities should be implemented.

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“…In both genders high PAL has been associated with reduced adiposity/plasma lipid profile 5,18 , and TV viewing with increased metabolic risk factors 5,6 . When numerical variables are analyzed, the information from our study agreed with these previous data, where highest BMI values were observed in men grouped in lowest frequency group for walking and cycling.…”

Section: Discussionmentioning

confidence: 99%

“…Television viewing (TV viewing) is an important indicator of physical inactivity, because the number of television sets per person increased following the overweight trend 4 and frequently it is associated with adiposity and metabolic risks during adulthood 5,6 . A conceptual model to explain the association between sedentary behavior and cardiovascular risk factors could be the decreased physical activity level (PAL) which would be associated with increased time spent in sedentary behavior, such as TV viewing.…”

mentioning

confidence: 99%

Leisure time behaviors: Prevalence, correlates and associations with overweight in Brazilian adults. A cross-sectional analysis

et al. 2010

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Association between television viewing and the risk of metabolic syndrome in a community-based population

Cited by 64 publications

References 43 publications

Joint associations of physical activity and sedentary behaviors with body mass index: results from a time use survey of US adults

Joint associations of physical activity and sedentary behaviors with body mass index: results from a time use survey of US adults

Sedentarism and Physical Inactivity Patterns Correlated with HOMA-IR in European Adolescents, the Helena Study

Leisure time behaviors: Prevalence, correlates and associations with overweight in Brazilian adults. A cross-sectional analysis

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