Excessive TV viewing and cardiovascular disease risk factors in adolescents. The AVENA cross-sectional study

Martínez‐Gómez, David; Rey-López, J.P.; Chillón, Palma; Gómez‐Martínez, Sonia; Vicente-Rodríguez, Germán; Martín‐Matillas, Miguel; García‐Fuentes, Miguel; Delgado, Manuel; Moreno, Luís A.; Veiga, Óscar L.; Eisenmann, Joey C.; Marcos, Ascensión

doi:10.1186/1471-2458-10-274

Cited by 54 publications

(47 citation statements)

References 45 publications

(59 reference statements)

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“…Meeting health recommendations and abdominal adiposity WC, which is a marker of abdominal fat (18) , has been shown to be related to having breakfast (22) , fruit and vegetable consumption (23) , physical activity (24) and sedentary behaviours (25) . In addition, mounting evidence has demonstrated the benefits of regular physical activity as treatment for abdominal obesity in association with energy restriction (50) .…”

Section: Meeting Health Recommendationsmentioning

confidence: 99%

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Healthy behaviours and abdominal adiposity in adolescents from southern Italy

Idelson

Scalfi

Vaino

et al. 2013

Public Health Nutr.

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Objective: The present study aimed to evaluate the prevalence of meeting health recommendations on diet and physical activity (having breakfast, eating fruit and vegetables, consumption of milk/yoghurt, performing moderate-to-vigorous physical activity, limiting television watching) and to assess junk snack food consumption in adolescents from southern Italy. The association between healthy behaviours and abdominal adiposity was also examined. Design: In a cross-sectional protocol, anthropometric data were measured by trained operators while other data were collected through a structured interview. Setting: Three high schools in Naples, Italy. Subjects: A sample of 478 students, aged 14-17 years, was studied. Results: The proportion of adolescents who met each of the health recommendations varied: 55?4 % had breakfast on $6 d/week; 2?9 % ate $5 servings of fruit and vegetables/d; 1?9 % had $3 servings of milk/yoghurt daily; 13?6 % performed moderate-to-vigorous physical activity for $60 min/d; and 46?3 % watched television for ,2 h/d. More than 65 % of adolescents consumed $1 serving of junk snack foods/d. Only 5 % fulfilled at least three recommendations. Healthy habits tended to correlate with each other. As the number of health recommendations met decreased, the percentage of adolescents with high abdominal adiposity (waist-to-height ratio $0?5) increased. The trend was not significant when the proportion of overweight/obese adolescents was considered. Logistic regression analysis indicated that male gender and watching television for $2 h/d were independently associated with a higher waist-to-height ratio. Conclusions: Most adolescents failed to meet the five health recommendations considered. Male gender and excessive television watching were associated with abdominal adiposity.

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Section: Meeting Health Recommendationsmentioning

confidence: 99%

“…As a matter of fact, WC and waist-to-height ratio (WHtR) are both able to identify children with a higher metabolic and cardiovascular risk better than BMI-for-age or skinfold thickness (19)(20)(21) . While WC has been shown to be related to each healthy behaviour (22)(23)(24)(25) , no data are available regarding the association with clustered behaviours.…”

mentioning

confidence: 99%

Healthy behaviours and abdominal adiposity in adolescents from southern Italy

Idelson

Scalfi

Vaino

et al. 2013

Public Health Nutr.

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“…f Includes 25 cross-sectional studies (Hardy et al 2010;Martinez-Gomez et al 2010;Carson and Janssen 2011;Yoshinaga et al 2011;Ekelund et al 2012;Gopinath et al 2012;Hay et al 2012;Henderson et al 2012;Pahkala et al 2012;You and Son 2012;Atkin et al 2013;Berendes et al 2013;Chaput et al 2013;Colley et al 2013;Fang et al 2013;Giussani et al 2013;Lämmle et al 2013;Rey-Lopez et al 2012;Saunders et al 2013;Sisson et al 2013;Staiano et al 2013;Stamatakis et al 2013b;Chinapaw et al 2014;…”

mentioning

confidence: 99%

Systematic review of sedentary behaviour and health indicators in school-aged children and youth: an update

Carson

Hunter

Kuzik

et al. 2016

Appl. Physiol. Nutr. Metab.

913

887

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This systematic review is an update examining the relationships between objectively and subjectively measured sedentary behaviour and health indicators in children and youth aged 5-17 years. EMBASE, PsycINFO, and Medline were searched in December 2014, and date limits were imposed (≥February 2010). Included studies were peer-reviewed and met the a prioridetermined population (apparently healthy children and youth, mean age: 5-17 years), intervention (durations, patterns, and types of sedentary behaviours), comparator (various durations, patterns, and types of sedentary behaviours), and outcome (critical: body composition, metabolic syndrome/cardiovascular disease risk factors, behavioural conduct/pro-social behaviour, academic achievement; important: fitness, self-esteem) study criteria. Quality of evidence by outcome was assessed using the Grading of Recommendations Assessment, Development, and Evaluation framework. Due to heterogeneity, a narrative analysis was conducted. A total of 235 studies (194 unique samples) were included representing 1 657 064 unique participants from 71 different countries. Higher durations/frequencies of screen time and television (TV) viewing were associated with unfavourable body composition. Higher duration/frequency of TV viewing was also associated with higher clustered cardiometabolic risk scores. Higher durations of TV viewing and video game use were associated with unfavourable behavioural conduct/pro-social behaviour. Higher durations of reading and doing homework were associated with higher academic achievement. Higher duration of screen time was associated with lower fitness. Higher durations of screen time and computer use were associated with lower self-esteem. Evidence ranged from "very low" to "moderate" quality. Higher quality studies using reliable and valid sedentary behaviour measures should confirm this largely observational evidence.Key words: sitting, TV, screen time, body composition, fitness, metabolic syndrome, cardiovascular disease, self-esteem, pro-social behaviour, academic achievement. Résumé :Cette analyse documentaire systématique est une mise à jour de la relation entre la mesure objective/subjective des comportements sédentaires et les indicateurs de santé chez les enfants et les jeunes âgés de 5 à 17 ans. En décembre 2014, on cherche dans ASE, PsycINFO et Medline, mais on impose une limite de date (≥février 2010). Les études retenues sont sanctionnées par des pairs et sont conformes aux critères a priori déterminés dans l'étude : la population (des jeunes apparemment en bonne santé âgés de 5 à 17 ans), l'intervention (durée, habitudes et types de comportement sédentaire), la comparaison (durées variées, habitudes et types de comportement sédentaire) et le résultat (essentiel : composition corporelle, syndrome métabolique/ facteurs de risque de maladie cardiovasculaire, comportement/comportement prosocial, rendement scolaire; important : condition physique, estime de soi). La qualité des données probantes est évaluée pour chaque résultat pa...

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“…Similar results were reported elsewhere 9,14 suggesting that excess weight during adolescence may be associated with undesirable total cholesterol levels. On the other hand, other studies have not found an association between BMI and cholesterol in adolescents 15,25 .…”

Section: Discussionmentioning

confidence: 81%

Factors associated with serum lipids of adolescents from the Brazilian South

2014

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OBJECTIVE: This study analyzes factors associated with serum lipids in adolescents from southern Brazil. METHODS: This is a school-based cross-sectional study with a probabilistic sample composed of 660 adolescents aged 14 to 19 years from the city of Três de Maio, Rio Grande do Sul state, Brazil. The following independent variables were analyzed: body mass index; waist-to-height ratio; moderate to vigorous level of physical activity; sedentary behaviour; lipid, total saturated fatty acid, cholesterol, sodium, and fiber intakes; smoking; and alcohol abuse. Linear regression analysis tested the association between the independent variables and total cholesterol and high density lipoprotein-cholesterol. RESULTS: Body mass index was directly associated with total cholesterol (β=0.96, p=0.001) and reversely associated with high density lipoprotein-cholesterol (β=-0.45, p<0.001). CONCLUSION: High body mass index may have a negative impact on the lipid profile of adolescents. Thus, monitoring nutritional status is important to prevent and control dyslipidemia in adolescents. We suggest multidisciplinary and intersectoral actions that encourage teenagers to acquire a healthy lifestyle, with emphasis on the adoption of an active lifestyle and balanced diet.

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Excessive TV viewing and cardiovascular disease risk factors in adolescents. The AVENA cross-sectional study

Cited by 54 publications

References 45 publications

Healthy behaviours and abdominal adiposity in adolescents from southern Italy

Healthy behaviours and abdominal adiposity in adolescents from southern Italy

Systematic review of sedentary behaviour and health indicators in school-aged children and youth: an update

Factors associated with serum lipids of adolescents from the Brazilian South

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