Patterns of lifestyle-related behaviors and parents’ overweight are associated with increased body adiposity in schoolchildren: a cross-sectional study in Portugal

被引:2
作者
Rodrigues P.R.M. [1 ,8 ]
Pereira R.A. [2 ]
Santana A.M.S. [3 ,8 ]
Gama A. [4 ,8 ]
Carvalhal I.M. [5 ]
Nogueira H. [6 ,8 ]
Rosado-Marques V. [7 ,8 ]
Padez C. [3 ,8 ]
机构
[1] College of Nutrition, Federal University of Mato Grosso, Avenida Fernando Corrêa da Costa, no. 2367 - Bairro Boa Esperança, Cuiabá, CEP 78060-900, Mato Grosso
[2] Department of Social and Applied Nutrition, Federal University of Rio de Janeiro, Av. Carlos Chagas Filho, 373, Edifício do Centro de Ciências da Saúde, Bloco J, 2° andar, Cidade Universitária, Rio de Janeiro, CEP 21941-590, RJ
[3] Department of Life Sciences, University of Coimbra, Rua Arco da Traição, Apartado 3046, Coimbra
[4] Department of Animal Biology, Faculty of Sciences of the University of Lisbon, Edificio C2, 2° Piso, Campo Grande, PT 1749-016, Lisboa
[5] Research Center in Sport Science, Health and Human Development, Edifício Ciências do Desporto, Quinta dos Prados, Apartado 1013, Vila Real
[6] Department of Geography, University of Coimbra, Faculdade de Letras, Colégio de S. Jerónimo, Coimbra
[7] Tropical Research Institute, Rua da Junqueira, 30 - 3°, Lisbon
[8] Research Center for Anthropology and Health, University of Coimbra, Coimbra
关键词
Adiposity indices; Childhood obesity; Lifestyle; Principal component analysis; Risk behaviors; Schoolchildren;
D O I
10.1186/s41110-017-0039-9
中图分类号
学科分类号
摘要
Background: This study evaluated the association between lifestyle-related behavior patterns and weight status indicators in schoolchildren. Methods: Cross-sectional study includes nationally representative sample of Portuguese schoolchildren (6–9 years old; n = 10,258). Weight status was assessed using the body mass index (BMI) and waist circumference (WC). Principal component analysis was used to identify lifestyle-related behavior patterns. Multiple linear regression models were used to estimate the association between behavior patterns, BMI, and WC. Results: Six lifestyle-related behavior patterns were identified: pattern 1: consuming iced tea and soft drinks ≥2 times/week, having a television (TV) in the bedroom, watching TV ≥2 h/day, and consuming <2 portions of fruits/day; pattern 2: parents and children remaining physically inactive during leisure time; pattern 3: consuming ≤1 portion of vegetables and milk/day; pattern 4: having parents with excess weight; pattern 5: consuming ≤3 daily meals and skipping breakfast; and pattern 6: not participating in physical education classes. After the adjustment, all of the patterns were associated with increased BMI z-score (P ≤ 0.02) and WC (P ≤ 0.03). Conclusions: Lifestyle-related behavior patterns were associated with an increased risk of excess weight and the central distribution of body fat. Taking a public health perspective toward preventing childhood obesity, special attention should be given to identify subgroups with simultaneous occurrence of multiple risk behaviors, which is useful for planning prevention programs. © 2017, The Author(s).
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共 55 条
[1]  
Han J.C., Lawlor D.A., Kimm S.Y.S., Childhood obesity, Lancet, 375, pp. 1737-1748, (2010)
[2]  
Onis M., Blossner M., Borghi E., Global prevalence and trends of overweight and obesity among preschool children, Am J Clin Nutr, 92, pp. 1257-1264, (2010)
[3]  
Padez C., Fernandes T., Mourao I., Moreira P., Rosado V., Prevalence of overweight and obesity in 7-9-year-old Portuguese children: trends in body mass index from 1970-2002, Am J Hum Biol, 16, pp. 670-678, (2004)
[4]  
Wijnhoven T.M., van Raaij J.M., Spinelli A., Starc G., Hassapidou M., Spiroski I., Et al., WHO European Childhood Obesity Surveillance Initiative: body mass index and level of overweight among 6-9-year-old children from school year 2007/2008 to school year 2009/2010, BMC Public Health, 14, (2014)
[5]  
Malik V.S., Willett W.C., Hu F.B., Global obesity: trends, risk factors and policy implications, Nat Rev Endocrinol, 9, pp. 13-27, (2013)
[6]  
MacArthur G.J., Smith M.C., Melotti R., Heron J., Macleod J., Hickman M., Et al., Patterns of alcohol use and multiple risk behaviour by gender during early and late adolescence: the ALSPAC cohort, J Public Health, 34, pp. i20-i30, (2012)
[7]  
Trovato G.M., Behavior, nutrition and lifestyle in a comprehensive health and disease paradigm: skills and knowledge for a predictive, preventive and personalized medicine, EPMA J, 3, (2012)
[8]  
Popkin B.M., Contemporary nutritional transition: determinants of diet and its impact on body composition, Proc Nutr Soc, 70, pp. 82-91, (2011)
[9]  
Smith K.J., Gall S.L., McNaughton S.A., Blizzard L., Dwyer T., Venn A.J., Skipping breakfast: longitudinal associations with cardiometabolic risk factors in the Childhood Determinants of Adult Health Study, Am J Clin Nutr, 92, pp. 1316-1325, (2010)
[10]  
Popkin B.M., Sugary beverages represent a threat to global health, Trends Endocrinol Metab, 23, pp. 591-593, (2012)