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Three-year change in diet quality and associated changes in BMI among schoolchildren living in socio-economically disadvantaged neighbourhoods

  • Sandrine Lioret (a1), Sarah A. McNaughton (a1), Adrian J. Cameron (a1), David Crawford (a1), Karen J. Campbell (a1), Verity J. Cleland (a2) and Kylie Ball (a1)...

Abstract

Findings from research that has assessed the influence of dietary factors on child obesity have been equivocal. In the present study, we aimed to test the hypothesis that a positive change in diet quality is associated with favourable changes in BMI z-scores (zBMI) in schoolchildren from low socio-economic backgrounds and to examine whether this effect is modified by BMI category at baseline. The present study utilised data from a subsample (n 216) of the Resilience for Eating and Activity Despite Inequality study, a longitudinal cohort study with data collected in 2007–8 (T1) and 2010–11 (T2) in socio-economically disadvantaged women and children (5–12 years at T1). Dietary data were collected using a FFQ and diet quality index (DQI) scores derived at both time points. The objective measures of weight, height and physical activity (accelerometers) were included. The other variables were reported in the questionnaires. We examined the association between change in DQI and change in zBMI, using linear regression analyses adjusted for physical activity, screen sedentary behaviour and maternal education level both in the whole sample and in the sample stratified by overweight status at baseline. After accounting for potential covariates, change in diet quality was found to be inversely associated with change in zBMI only in children who were overweight at baseline (P= 0·035), thus supporting the hypothesis that improvement in diet quality is associated with a concurrent improvement in zBMI among already overweight children, but not among those with a normal BMI status. The identification of modifiable behaviours such as diet quality that affect zBMI longitudinally is valuable to inform future weight gain prevention interventions in vulnerable groups.

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Corresponding author

* Corresponding author: Dr S. Lioret, fax +61 3 9244 6017, email sandrine.lioretsuteau@deakin.edu.au; sandrine.lioret@inserm.fr (from 1 January 2014)

References

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1 Ogden, CL, Carroll, MD, Curtin, LR, et al. (2010) Prevalence of high body mass index in US children and adolescents, 2007–2008. JAMA 303, 242249.
2 McLaren, L (2007) Socioeconomic status and obesity. Epidemiol Rev 29, 2948.
3 Shrewsbury, V & Wardle, J (2008) Socioeconomic status and adiposity in childhood: a systematic review of cross-sectional studies 1990–2005. Obesity 16, 275284.
4 Ball, K & Crawford, D (2010) The role of socio-cultural factors in the obesity epidemic. In Obesity Epidemiology. From Aetiology to Public Health, 2nd ed., pp. 105118 [Crawford, D, Jeffery, RW, Ball, K and Brug, J, editors]. New York, NY: Oxford University Press.
5 Linde, JA & Jeffery, RW (2010) Evolving environmental factors in the obesity epidemic. In Obesity Epidemiology. From Aetiology to Public Health, 2nd ed., pp. 119–135 [Crawford, D, Jeffery, RW, Ball, K and Brug, J, editors]. New York, NY: Oxford University Press.
6 Darmon, N & Drewnowski, A (2008) Does social class predict diet quality? Am J Clin Nutr 87, 11071117.
7 Cameron, AJ, Ball, K, Pearson, N, et al. (2012) Socio-economic variation in diet and activity-related behaviors of Australian children and adolescents aged 2–16 years. Pediatr Obes 7, 329342.
8 Newby, PK (2007) Are dietary intakes and eating behaviors related to childhood obesity? A comprehensive review of the evidence. J Law Med Ethics 35, 3560.
9 Mesas, AE, Munoz-Pareja, M, Lopez-Garcia, E, et al. (2012) Selected eating behaviours and excess body weight: a systematic review. Obes Rev 13, 106135.
10 Livingstone, MB & Robson, PJ (2000) Measurement of dietary intake in children. Proc Nutr Soc 59, 279293.
11 Leibel, RL, Rosenbaum, M & Hirsch, J (1995) Changes in energy expenditure resulting from altered body weight. N Engl J Med 332, 621628.
12 Flock, MR, Green, MH & Kris-Etherton, PM (2011) Effects of adiposity on plasma lipid response to reductions in dietary saturated fatty acids and cholesterol. Adv Nutr 2, 261274.
13 Maffeis, C, Talamini, G & Tato, L (1998) Influence of diet, physical activity and parents' obesity on children's adiposity: a four-year longitudinal study. Int J Obes Relat Metab Disord 22, 758764.
14 Berkey, CS, Rockett, HR, Field, AE, et al. (2000) Activity, dietary intake, and weight changes in a longitudinal study of preadolescent and adolescent boys and girls. Pediatrics 105, E56.
15 Newby, PK, Peterson, KE, Berkey, CS, et al. (2004) Beverage consumption is not associated with changes in weight and body mass index among low-income preschool children in North Dakota. J Am Diet Assoc 104, 10861094.
16 Reilly, JJ, Armstrong, J, Dorosty, AR, et al. (2005) Early life risk factors for obesity in childhood: cohort study. BMJ 330, 1357.
17 Johnson, L, Mander, AP, Jones, LR, et al. (2008) Energy-dense, low-fiber, high-fat dietary pattern is associated with increased fatness in childhood. Am J Clin Nutr 87, 846854.
18 Ludwig, DS, Peterson, KE & Gortmaker, SL (2001) Relation between consumption of sugar-sweetened drinks and childhood obesity: a prospective, observational analysis. Lancet 357, 505508.
19 Berkey, CS, Rockett, HR, Field, AE, et al. (2004) Sugar-added beverages and adolescent weight change. Obes Res 12, 778788.
20 Oellingrath, IM, Svendsen, MV & Brantsaeter, AL (2011) Tracking of eating patterns and overweight – a follow-up study of Norwegian schoolchildren from middle childhood to early adolescence. Nutr J 10, 106.
21 Ambrosini, GL, Emmett, PM, Northstone, K, et al. (2012) Identification of a dietary pattern prospectively associated with increased adiposity during childhood and adolescence. Int J Obes (Lond) 36, 12991305.
22 Savage, JS, Fisher, JO & Birch, LL (2007) Parental influence on eating behavior: conception to adolescence. J Law Med Ethics 35, 2234.
23 Newby, PK & Tucker, KL (2004) Empirically derived eating patterns using factor or cluster analysis: a review. Nutr Rev 62, 177203.
24 McNaughton, SA (2011) Understanding the eating behaviors of adolescents: application of dietary patterns methodology to behavioral nutrition research. J Am Diet Assoc 111, 226229.
25 Lazarou, C & Newby, PK (2011) Use of dietary indexes among children in developed countries. Adv Nutr 2, 295303.
26 Ball, K, Cleland, V, Salmon, J, et al. (2012) Cohort profile: the Resilience for Eating and Activity Despite Inequality (READI) study. Int J Epidemiol 42, 16291639.
27 Australian Bureau of Statistics (2003) Information paper. Census of population and housing. Socio-Economic Indexes for Areas, Australia, 2001 (ABS Catalogue no. 2039·0). Canberra: ABS..
28 Kuczmarski, RJ, Ogden, CL, Grummer-Strawn, LM, et al. (2000) CDC Growth Charts: United States. Advance data from vital and health statistics, no. 314 . Hyattsville, MD: National Center for Health Statistics.
29 Cole, TJ, Bellizzi, MC, Flegal, KM, et al. (2000) Establishing a standard definition for child overweight and obesity worldwide: international survey. Br Med J 320, 12401243.
30 Marks, GB, Rutishauser, IHE, Webb, K, et al. (2001) Key Food and Nutrition Data for Australia 1990–1999. Canberra: Commonwealth Department of Health and Age Care.
31 Riley, M, Rutishauser, IHE & Webb, K (2001) Comparison of Short Questions with Weighed Dietary Records. Canberra: Australian Food and Nutrition Monitoring Unit.
32 McLennan, W & Podger, A (1998) National Nutrition Survey Users' Guide, Australian Bureau of Statistics Catalogue No. 4801.0. http://www.abs.gov.au/ausstats/abs@.nsf/mf/4801.0 (accessed 16 July 2013).
33 Rutishauser, IHE, Webb, K, Abraham, B, et al. (2001) Evaluation of Short Dietary Questions from the 1995 National Nutrition Survey. National Food and Nutrition Monitoring and Surveillance Project . Canberra: Commonwealth Department of Health and Aged Care.
34 Sanigorski, AM, Bell, AC & Swinburn, BA (2007) Association of key foods and beverages with obesity in Australian schoolchildren. Public Health Nutr 10, 152157.
35 Hodge, A, Patterson, AJ, Brown, WJ, et al. (2000) The Anti Cancer Council of Victoria FFQ: relative validity of nutrient intakes compared with weighed food records in young to middle-aged women in a study of iron supplementation. Aust N Z J Public Health 24, 576583.
36 Willett, W (editor) (1998) Nutritional Epidemiology. New York, NY: Oxford University Press.
37 McNaughton, SA, Ball, K, Crawford, D, et al. (2008) An index of diet and eating patterns is a valid measure of diet quality in an Australian population. J Nutr 138, 8693.
38 McNaughton, SA, Dunstan, DW, Ball, K, et al. (2009) Dietary quality is associated with diabetes and cardio-metabolic risk factors. J Nutr 139, 734742.
39 Golley, RK, Hendrie, GA & McNaughton, SA (2011) Scores on the dietary guideline index for children and adolescents are associated with nutrient intake and socio-economic position but not adiposity. J Nutr 141, 13401347.
40 Health, National & Council, MedicalResearch (2003) Dietary Guidelines for Children and Adolescents. Canberra: Commonwealth of Australia.
41 Kellett, E, Smith, AS & Schmerlaib, Y (1998) Australian Guide to Healthy Eating. Canberra: Commonwealth Department of Health and Family Services.
42 Gordon-Larsen, P, McMurray, RG & Popkin, BM (2000) Determinants of adolescent physical activity and inactivity patterns. Pediatrics 105, E83.
43 Trost, SG, Ward, DS, Moorehead, SM, et al. (1998) Validity of the computer science and applications (CSA) activity monitor in children. Med Sci Sports Exerc 30, 629633.
44 Rowlands, AV, Pilgrim, EL & Eston, RG (2008) Patterns of habitual activity across weekdays and weekend days in 9–11-year-old children. Prev Med 46, 317324.
45 Trost, SG, Pate, RR, Sallis, JF, et al. (2002) Age and gender differences in objectively measured physical activity in youth. Med Sci Sports Exerc 34, 350355.
46 Twisk, JWR (2003) Applied Longitudinal Data Analysis for Epidemiology. A Practical Guide. Cambridge: Cambridge University Press.
47 Whisman, MA & McClelland, GH (2005) Designing, testing, and interpreting interactions and moderator effects in family research. J Fam Psychol 19, 111120.
48 Newby, PK, Weismayer, C, Akesson, A, et al. (2006) Longitudinal changes in food patterns predict changes in weight and body mass index and the effects are greatest in obese women. J Nutr 136, 25802587.
49 Kant, AK (2004) Dietary patterns and health outcomes. J Am Diet Assoc 104, 615635.
50 Waijers, PM, Feskens, EJ & Ocke, MC (2007) A critical review of predefined diet quality scores. Br J Nutr 97, 219231.
51 Black, AE & Cole, TJ (2001) Biased over- or under-reporting is characteristic of individuals whether over time or by different assessment methods. J Am Diet Assoc 101, 7080.
52 Biddle, SJ, Pearson, N, Ross, GM, et al. (2010) Tracking of sedentary behaviours of young people: a systematic review. Prev Med 51, 345351.
53 Pearson, N, Salmon, J, Campbell, K, et al. (2011) Tracking of children's body-mass index, television viewing and dietary intake over five-years. Prev Med 53, 268270.

Keywords

Three-year change in diet quality and associated changes in BMI among schoolchildren living in socio-economically disadvantaged neighbourhoods

  • Sandrine Lioret (a1), Sarah A. McNaughton (a1), Adrian J. Cameron (a1), David Crawford (a1), Karen J. Campbell (a1), Verity J. Cleland (a2) and Kylie Ball (a1)...

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