Association of leisure-time sedentary behavior with fast food and carbonated soft drink consumption among 133,555 adolescents aged 12-15years in 44 low- and middle-income countries

被引:42
作者
Ashdown-Franks, Garcia [1 ,2 ]
Vancampfort, Davy [3 ,4 ]
Firth, Joseph [5 ,6 ]
Smith, Lee [7 ]
Sabiston, Catherine M. [2 ]
Stubbs, Brendon [1 ,2 ,8 ]
Koyanagi, Ai [9 ,10 ]
机构
[1] Kings Coll London, Inst Psychiat Psychol & Neurosci, Dept Psychol Med, De Crespigny Pk, London SE5 8AF, England
[2] Univ Toronto, Dept Exercise Sci, 55 Harbord St, Toronto, ON M5S 2W6, Canada
[3] Katholieke Univ Leuven, Dept Rehabil Sci, Leuven, Belgium
[4] Katholieke Univ Leuven, Univ Psychiat Ctr, Kortenberg, Belgium
[5] Western Sydney Univ, NICM Hlth Res Inst, Sydney, NSW, Australia
[6] Univ Manchester, Div Psychol & Mental Hlth, Fac Biol Med & Hlth, Manchester, Lancs, England
[7] Anglia Ruskin Univ, Cambridge Ctr Sport & Exercise Sci, Cambridge, England
[8] South London & Maudsley Natl Hlth Serv Fdn Trust, Physiotherapy Dept, London, England
[9] Parc Sanitari St Joan de Deu, CIBERSAM, Res & Dev Unit, Barcelona, Spain
[10] ICREA, Pg Lluis Companys 23, Barcelona, Spain
关键词
Adolescents; Sedentary behavior; Fast food consumption; Soft drink consumption; Low- and middle-income countries (LMICs); PHYSICAL-ACTIVITY; CHILDHOOD OBESITY; TELEVISION; HEALTH; OVERWEIGHT; RISK; LIFE;
D O I
10.1186/s12966-019-0796-3
中图分类号
R15 [营养卫生、食品卫生]; TS201 [基础科学];
学科分类号
100403 ;
摘要
BackgroundRates of sedentary behavior (SB), fast food and carbonated soft drink consumption are increasing worldwide, with steeper increases being observed in low- and middle-income countries (LMICs) in recent years. Given that these behaviors have been linked to adverse health outcomes among adolescents, this presents a new but rapidly growing challenge to human health in these under-resourced nations. However, very little is known about the associations between SB and fast food or soft drink consumption among adolescents in LMICs.MethodsThus, data from the Global school-based Student Health Survey (GSHS) were cross-sectionally analyzed in 133,555 adolescents aged 12-15years from 44 LMICs [mean (SD) age 13.8 (1.0) years; 49% females]. The data were collected in the form of self-report questionnaires. Associations were assessed with multivariable logistic regression analysis and meta-analysis.ResultsThe overall prevalence of fast food consumption (at least once in previous 7days) and carbonated soft drink consumption (at least once per day during past 30days) were 49.3 and 43.8%, respectively. The overall pooled estimates based on a meta-analysis with random effects for the association of 3h/day of SB with fast food consumption and soft drink consumption using country-wise estimates were OR=1.35 (95% CI=1.27-1.43, I-2=62.1%).) and OR=1.26 (95% CI=1.19-1.34; I-2=54.3%), respectively. Spending >8h/day of SB compared to <1h/day in females was associated with significantly higher odds for fast food (OR=1.61, 95% CI=1.38-1.88) and soft drink consumption (OR=1.91, 95% CI=1.60-2.28).ConclusionsFuture interventions to address unhealthy behaviors in adolescents should take into account the interrelated nature of SB and unhealthy dietary habits, and seek to further understand the mechanisms linking these behaviors in the LMIC context.
引用
收藏
页数:11
相关论文
共 37 条
[11]   RELIABILITY OF THE YOUTH RISK BEHAVIOR SURVEY QUESTIONNAIRE [J].
BRENER, ND ;
COLLINS, JL ;
KANN, L ;
WARREN, CW ;
WILLIAMS, BI .
AMERICAN JOURNAL OF EPIDEMIOLOGY, 1995, 141 (06) :575-580
[12]   Text Messaging as a Tool for Behavior Change in Disease Prevention and Management [J].
Cole-Lewis, Heather ;
Kershaw, Trace .
EPIDEMIOLOGIC REVIEWS, 2010, 32 (01) :56-69
[13]   Child-targeted fast-food television advertising exposure is linked with fast-food intake among pre-school children [J].
Dalton, Madeline A. ;
Longacre, Megian R. ;
Drake, Keith M. ;
Cleveland, Lauren P. ;
Harris, Jennifer L. ;
Hendricks, Kristy ;
Titus, Linda J. .
PUBLIC HEALTH NUTRITION, 2017, 20 (09) :1548-1556
[14]   Adolescent soft drink consumption, television viewing and habit strength. Investigating clustering effects in the Theory of Planned Behaviour [J].
de Bruijn, Gert-Jan ;
van den Putte, Bas .
APPETITE, 2009, 53 (01) :66-75
[15]   Health-Related Quality of Life and Lifestyle Behavior Clusters in School-Aged Children from 12 Countries [J].
Dumuid, Dorothea ;
Olds, Timothy ;
Lewis, Lucy K. ;
Antoni Martin-Fernandez, Josep ;
Katzmarzyk, Peter T. ;
Barreira, Tiago ;
Broyles, Stephanie T. ;
Chaput, Jean-Philippe ;
Fogelholm, Mikael ;
Hu, Gang ;
Kuriyan, Rebecca ;
Kurpad, Anura ;
Lambert, Estelle V. ;
Maia, Jose ;
Matsudo, Victor ;
Onywera, Vincent O. ;
Sarmiento, Olga L. ;
Standage, Martyn ;
Tremblay, Mark S. ;
Tudor-Locke, Catrine ;
Zhao, Pei ;
Gillison, Fiona ;
Maher, Carol .
JOURNAL OF PEDIATRICS, 2017, 183 :178-+
[16]  
Fletcher EA, 2018, PUBLIC HEALTH NUTR, V21, P1115, DOI [10.1017/s136898001700372x, 10.1017/S136898001700372X]
[17]   Obesity in Low- and Middle-Income Countries: Burden, Drivers, and Emerging Challenges [J].
Ford, Nicole D. ;
Patel, Shivani A. ;
Narayan, M. Venkat .
ANNUAL REVIEW OF PUBLIC HEALTH, VOL 38, 2017, 38 :145-164
[18]   Screen-based sedentary time: Association with soft drink consumption and the moderating effect of parental education in European children: The ENERGY study [J].
Gebremariam, Mekdes K. ;
Chinapaw, Mai J. ;
Bringolf-Isler, Bettina ;
Bere, Elling ;
Kovacs, Eva ;
Verloigne, Maite ;
Stok, F. Marijn ;
Manios, Yannis ;
Brug, Johannes ;
Lien, Nanna .
PLOS ONE, 2017, 12 (02)
[19]   Physical Activity and Sedentary Behavior Among Schoolchildren: A 34-Country Comparison [J].
Guthold, Regina ;
Cowan, Melanie J. ;
Autenrieth, Christine S. ;
Kann, Laura ;
Riley, Leanne M. .
JOURNAL OF PEDIATRICS, 2010, 157 (01) :43-U84
[20]   Association between child and adolescent television viewing and adult health: a longitudinal birth cohort study [J].
Hancox, RJ ;
Milne, BJ ;
Poulton, R .
LANCET, 2004, 364 (9430) :257-262