Clustering of energy balance-related behaviors in 5-year-old children: Lifestyle patterns and their longitudinal association with weight status development in early childhood

International Journal of Behavioral Nutrition and Physical Activity

Carel Thijs⁴  Nanne K de Vries¹  R Alexandra Goldbohm³  Annette Stafleu²  Stef PJ Kremers⁵  Jessica S Gubbels⁵ 

[1] School for Public Health and Primary Care (CAPHRI), Maastricht University, PO Box 616, 6200 MD, Maastricht, the Netherlands;TNO, PO Box 360, 3700 AJ, Zeist, the Netherlands;TNO, PO Box 2215, 2301 CE, Leiden, the Netherlands;Department of Epidemiology, Maastricht University, PO Box 616, 6200 MD, Maastricht, the Netherlands;NUTRIM School for Nutrition, Toxicology and Metabolism, Maastricht University, PO Box 616, 6200 MD, Maastricht, the Netherlands

关键词: Sedentary behavior;    Screen-based behavior;    Principal component analysis;    Physical activity;    Overweight;    Factor analysis;    Eating pattern;    Diet;    BMI;   

Others  :  824770
DOI  :  10.1186/1479-5868-9-77

 received in 2011-11-23, accepted in 2012-06-13,  发布年份 2012

【 摘 要 】

Background

This study identified lifestyle patterns by examining the clustering of eating routines (e.g. eating together as a family, having the television on during meals, duration of meals) and various activity-related behaviors (i.e. physical activity (PA) and sedentary screen-based behavior) in 5-year-old children, as well as the longitudinal association of these patterns with weight status (BMI and overweight) development up to age 8.

Methods

Data originated from the KOALA Birth Cohort Study (N = 2074 at age 5). Principal component analysis (PCA) was used to identify lifestyle patterns. Backward regression analyses were used to examine the association of lifestyle patterns with parent and child background characteristics, as well as the longitudinal associations between the patterns and weight status development.

Results

Four lifestyle patterns emerged from the PCA: a ‘Television–Snacking’ pattern, a ‘Sports–Computer’ pattern, a ‘Traditional Family’ pattern, and a “Fast’ Food’ pattern. Child gender and parental educational level, working hours and body mass index were significantly associated with the scores for the patterns. The Television–Snacking pattern was positively associated with BMI (standardized regression coefficient β = 0.05; p < 0.05), and children with this pattern showed a positive tendency toward being overweight at age 8 (Odds ratio (OR) = 1.27, p = 0.06). In addition, the Sports–Computer pattern was significantly positively associated with an increased risk of becoming overweight at age 7 (OR = 1.28, p < 0.05).

Conclusions

The current study showed the added value of including eating routines in cross-behavioral clustering analyses. The findings indicate that future interventions to prevent childhood overweight should address eating routines and activity/inactivity simultaneously, using the synergy between clustered behaviors (e.g. between television viewing and snacking).

【 授权许可】

   
2012 Gubbels et al.; licensee BioMed Ltd.

【 参考文献 】

• [1]Gubbels JS, Kremers SP, Stafleu A, Dagnelie PC, de Vries SI, de Vries NK, Thijs C: Clustering of dietary intake and sedentary behavior in 2-year-old children. J Pediatr 2009, 155:194-198.
• [2]Lioret S, Touvier M, Lafay L, Volatier JL, Maire B: Dietary and physical activity patterns in French children are related to overweight and socioeconomic status. J Nutr 2008, 138:101-107.
• [3]Cameron AJ, Crawford DA, Salmon J, Campbell K, McNaughton SA, Mishra GD, Ball K: Clustering of obesity-related risk behaviors in children and their mothers. Ann Epidemiol 2011, 21:95-102.
• [4]Yannakoulia M, Ntalla I, Papoutsakis C, Farmaki AE, Dedoussis GV: Consumption of vegetables, cooked meals, and eating dinner is negatively associated with overweight status in children. J Pediatr 2011, 157:815-820.
• [5]Yen LL, Chiu CJ, Wu WC, Pan LY: Aggregation of health behaviors among fourth graders in northern Taiwan. J Adolesc Health 2006, 39:435-442.
• [6]Seghers J, Rutten C: Clustering of multiple lifestyle behaviours and its relationship with weight status and cardiorespiratory fitness in a sample of Flemish 11- to 12-year-olds. Public Health Nutr 2011, 13:1838-1846.
• [7]Van der Sluis ME, Lien N, Twisk JW, Steenhuis IH, Bere E, Klepp KI, Wind M: Longitudinal associations of energy balance-related behaviours and cross-sectional associations of clusters and body mass index in Norwegian adolescents. Public Health Nutr 2011, 13:1716-1721.
• [8]Sabbe D, De Bourdeaudhuij I, Legiest E, Maes L: A cluster-analytical approach towards physical activity and eating habits among 10-year-old children. Health Educ Res 2008, 23:753-762.
• [9]Gubbels J, Kremers S, Goldbohm R, Stafleu A, Thijs C: Energy balance-related behavioral patterns in 5-year-old children and the longitudinal association with weight status development in early childhood. Public Health Nutrepub November 29 2011
• [10]Schuit AJ, van Loon AJ, Tijhuis M, Ocke M: Clustering of lifestyle risk factors in a general adult population. Prev Med 2002, 35:219-224.
• [11]Kremers SPJ, De Bruin G-J, Schaalma H, Brug J: Clustering of energy balance-related behaviours and their intrapersonal determinants. Psychol Health 2004, 19:595-606.
• [12]Reilly JJ, Jackson DM, Montgomery C, Kelly LA, Slater C, Grant S, Paton JY: Total energy expenditure and physical activity in young Scottish children: mixed longitudinal study. Lancet 2004, 363:211-212.
• [13]Kelder SH, Perry CL, Klepp KI, Lytle LL: Longitudinal tracking of adolescent smoking, physical activity, and food choice behaviors. Am J Public Health 1994, 84:1121-1126.
• [14]Mikkila V, Rasanen L, Raitakari OT, Pietinen P, Viikari J: Consistent dietary patterns identified from childhood to adulthood: the cardiovascular risk in Young Finns Study. Br J Nutr 2005, 93:923-931.
• [15]Northstone K, Emmett PM: Are dietary patterns stable throughout early and mid-childhood? A birth cohort study. Br J Nutr 2008, 100:1069-1076.
• [16]Hu FB, Rimm E, Smith-Warner SA, Feskanich D, Stampfer MJ, Ascherio A, Sampson L, Willett WC: Reproducibility and validity of dietary patterns assessed with a food-frequency questionnaire. Am J Clin Nutr 1999, 69:243-249.
• [17]Millen BE, Quatromoni PA, Copenhafer DL, Demissie S, O'Horo CE, D'Agostino RB: Validation of a dietary pattern approach for evaluating nutritional risk: the Framingham Nutrition Studies. J Am Diet Assoc 2001, 101:187-194.
• [18]Newby PK, Tucker KL: Empirically derived eating patterns using factor or cluster analysis: a review. Nutr Rev 2004, 62:177-203.
• [19]Kontogianni MD, Farmaki AE, Vidra N, Sofrona S, Magkanari F, Yannakoulia M: Associations between lifestyle patterns and body mass index in a sample of Greek children and adolescents. J Am Diet Assoc 2011, 110:215-221.
• [20]Te Velde SJ, De Bourdeaudhuij I, Thorsdottir I, Rasmussen M, Hagstromer M, Klepp KI, Brug J: Patterns in sedentary and exercise behaviors and associations with overweight in 9–14-year-old boys and girls–a cross-sectional study. BMC Public Health 2007, 7:16. BioMed Central Full Text
• [21]Pearson N, Biddle SJ, Gorely T: Family correlates of fruit and vegetable consumption in children and adolescents: a systematic review. Public Health Nutr 2009, 12:267-283.
• [22]Patrick H, Nicklas TA: A review of family and social determinants of children's eating patterns and diet quality. J Am Coll Nutr 2005, 24:83-92.
• [23]Rosenkranz RR, Dzewaltowski DA: Model of the home food environment pertaining to childhood obesity. Nutr Rev 2008, 66:123-140.
• [24]Rampersaud GC, Pereira MA, Girard BL, Adams J, Metzl JD: Breakfast habits, nutritional status, body weight, and academic performance in children and adolescents. J Am Diet Assoc 2005, 105:743-760. 761–742
• [25]Golan M, Crow S: Parents are key players in the prevention and treatment of weight-related problems. Nutr Rev 2004, 62:39-50.
• [26]Bowman SA, Gortmaker SL, Ebbeling CB, Pereira MA, Ludwig DS: Effects of fast-food consumption on energy intake and diet quality among children in a national household survey. Pediatrics 2004, 113:112-118.
• [27]MacFarlane A, Cleland V, Crawford D, Campbell K, Timperio A: Longitudinal examination of the family food environment and weight status among children. Int J Pediatr Obes 2009, 4:343-352.
• [28]Cassimos D, Sidiropoulos H, Batzios S, Balodima V, Christoforidis A: Sociodemographic and dietary risk factors for excess weight in a Greek pediatric population living in Kavala, Northern Greece. Nutr Clin Pract 2011, 26:186-191.
• [29]Kummeling I, Thijs C, Penders J, Snijders BE, Stelma F, Reimerink J, Koopmans M, Dagnelie PC, Huber M, Jansen MC, et al.: Etiology of atopy in infancy: the KOALA Birth Cohort Study. Pediatr Allergy Immunol 2005, 16:679-684.
• [30]Jeugdgezondheid M: Standaard Vraagstelling Bewegen (Standard Questionnaire on Physical Activity). GGD Nederland, Rijksinstituut voor Volksgezondheid en Milieu (RIVM) and Actiz organisatie van zorgondernemers; 2009.
• [31]Fredriks AM, van Buuren S, Wit JM, Verloove-Vanhorick SP: Body index measurements in 1996–7 compared with 1980. Arch Dis Child 2000, 82:107-112.
• [32]Barlow SE: Expert committee recommendations regarding the prevention, assessment, and treatment of child and adolescent overweight and obesity: summary report. Pediatrics 2007, 120(Suppl 4):S164-S192.
• [33]Eurostat: Task force on core social variables. Final report. European Communities, Luxembourg; 2007.
• [34]Field A: Discovering Statistics Using SPSS. Sage Publications, London, Thousand Oaks, New Delhi; 2005.
• [35]Stevens JP: Applied multivariate statistics for the social sciences. 2nd edition. Erlbaum, Hinsdale, NJ; 1992.
• [36]Coon KA, Goldberg J, Rogers BL, Tucker KL: Relationships between use of television during meals and children's food consumption patterns. Pediatrics 2001, 107:E7.
• [37]Halford JC, Boyland EJ, Hughes G, Oliveira LP, Dovey TM: Beyond-brand effect of television (TV) food advertisements/commercials on caloric intake and food choice of 5-7-year-old children. Appetite 2007, 49:263-267.
• [38]Temple JL, Giacomelli AM, Kent KM, Roemmich JN, Epstein LH: Television watching increases motivated responding for food and energy intake in children. Am J Clin Nutr 2007, 85:355-361.
• [39]Centraal Bureau voor de Statistiek: Nabijheid voorzieningen; afstand tot locatie, regionaal. Centraal Bureau voor de Statistiek, Den Haag/Heerlen; 2011.
• [40]Ministry of Transport: Cycling in the Netherlands. Public works and water management and the expertise centre for cycling policy, Den Haag; 2009.
• [41]Jago R, Fox KR, Page AS, Brockman R, Thompson JL: Physical activity and sedentary behaviour typologies of 10–11 year olds. Int J Behav Nutr Phys Act 2011, 7:59.
• [42]Yates T, Wilmot EG, Khunti K, Biddle S, Gorely T, Davies MJ: Stand up for your health: Is it time to rethink the physical activity paradigm? Diabetes Res Clin Pract 2011, 93:292-294.
• [43]Helmink JHM, Kremers SPJ, van Brussel-Visser FN, de Vries NK: Sitting time and body mass index in diabetics and pre-diabetics willing to participate in a lifestyle intervention. Int J Environ Res Public Health 2011, 9:3747-3758.
• [44]Santos R, Soares-Miranda L, Vale S, Moreira C, Marques AI, Mota J: Sitting time and body mass index, in a Portuguese sample of men: results from the Azorean Physical Activity and Health Study (APAHS). Int J Environ Res Public Health 2011, 7:1500-1507.
• [45]Biddle SJ, Gorely T, Marshall SJ: Is television viewing a suitable marker of sedentary behavior in young people? Ann Behav Med 2009, 38:147-153.
• [46]McNaughton SA, Ball K, Mishra GD, Crawford DA: Dietary patterns of adolescents and risk of obesity and hypertension. J Nutr 2008, 138:364-370.
• [47]Rasanen M, Lehtinen JC, Niinikoski H, Keskinen S, Ruottinen S, Salminen M, Ronnemaa T, Viikari J, Simell O: Dietary patterns and nutrient intakes of 7-year-old children taking part in an atherosclerosis prevention project in Finland. J Am Diet Assoc 2002, 102:518-524.
• [48]Aranceta J, Perez-Rodrigo C, Ribas L, Serra-Majem L: Sociodemographic and lifestyle determinants of food patterns in Spanish children and adolescents: the enKid study. Eur J Clin Nutr 2003, 57(Suppl 1):S40-S44.
• [49]Power C, Pouliou T, Li L, Cooper R, Hypponen E: Parental and offspring adiposity associations: insights from the 1958 British birth cohort. Ann Hum Biol 2011, 38:390-399.
• [50]Saunders TJ, Prince SA, Tremblay MS: Clustering of children's activity behaviour: the use of self-report versus direct measures. Int J Behav Nutr Phys Act 2011, 8:48. BioMed Central Full Text
• [51]Jago R, Fox KR, Page AS, Brockman R, Thompson JL: Physical activity and sedentary behaviour typologies of 10–11 year olds - Response to Saunders and Colleagues. Int J Behav Nutr Phys Act 2011, 8:49. BioMed Central Full Text
• [52]Scholtens S, Brunekreef B, Visscher TL, Smit HA, Kerkhof M, de Jongste JC, Postma DS, Gerritsen J, Seidell JC, Wijga AH: Reported versus measured body weight and height of 4-year-old children and the prevalence of overweight. Obesity 2008, 16:2498-2503.
• [53]McCarthy HD: Body fat measurements in children as predictors for the metabolic syndrome: focus on waist circumference. Proc Nutr Soc 2006, 65:385-392.