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The stability of soft drinks intake from adolescence to adult age and the association between long-term consumption of soft drinks and lifestyle factors and body weight

Published online by Cambridge University Press:  02 January 2007

Elisabeth Kvaavik ,
Lene Frost Andersen  and
Knut-Inge Klepp
Elisabeth Kvaavik*
Affiliation:
Department of Nutrition, Faculty of Medicine, University of Oslo, PO Box 1046 Blindern, N-0316 Oslo, Norway
Lene Frost Andersen
Affiliation:
Department of Nutrition, Faculty of Medicine, University of Oslo, PO Box 1046 Blindern, N-0316 Oslo, Norway
Knut-Inge Klepp
Affiliation:
Department of Nutrition, Faculty of Medicine, University of Oslo, PO Box 1046 Blindern, N-0316 Oslo, Norway
*
*Corresponding author: Email [email protected]
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Abstract

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Objectives

To investigate the tracking of sugar-sweetened, carbonated soft drinks intake from age 15 to 33 years and the association between this intake and lifestyle factors and body weight.

Design

A longitudinal study with 18–20 years of follow-up. Data about diet, physical activity, smoking and dieting were collected in 1981/1979, 1991 and 1999. Body weight and height were measured in 1981/1979 and self-reported in 1999.

Setting

Oslo, Norway.

Subjects

Four hundred and twenty-two men and women.

Results

Tracking of soft drinks intake from adolescence into early adulthood (age 25 years) and from early adulthood into later adulthood (33 years) was moderate to high, while tracking from adolescence into later adulthood was low. Comparing those reporting a high intake of soft drinks in both 1991 and 1999 with those reporting a low intake at both times, male long-term high consumers were more likely to smoke (48 vs. 21%, P = 0.002) and reported higher intakes of energy (12.2 vs. 10.2 MJ day−1, P = 0.005) and sugar (142 vs. 50 g day−1, P < 0.001) in 1999 than did long-term low consumers. Women high consumers were less likely to be physically active (14 vs. 42%, P = 0.03) and had higher sugar intake (87 vs. 41 g day−1, P < 0.001) in 1999 than did women low consumers. There were no differences in body mass index, overweight or obesity in 1999 between long-term high and low consumers.

Conclusion

In this study, stability of soft drinks intake from age 15 to 25 years and from age 25 to 33 years was moderate to high, while from age 15 to 33 years it was low. Soft drinks intake from age 25 to 33 years was associated with smoking and physical inactivity, but not with body weight.

Keywords

Soft drinks consumptionLongitudinal studyYoung adultsBody weight
Type
Research Article
Information
Public Health Nutrition , Volume 8 , Issue 2 , April 2005 , pp. 149 - 157
Copyright
Copyright © The Authors 2005

References

1Åstrom, AN, Samdal, O. Time trends in oral health behaviors among Norwegian adolescents: 1985–97. Acta Odontologica Scandinavica 2001; 59: 193–200.CrossRefGoogle ScholarPubMed
2Johansson, L. Development in Dietary Intake in Norway. Oslo: National Council for Nutrition and Physical Activity, 2002.Google Scholar
3Øverby, NC, Andersen, LF. Ungkost– 2002. Oslo: Directorate for Health and Social Affairs, 2002.Google Scholar
4Popkin, BM, Nielsen, SJ. The sweetening of the world's diet. Obesity Research 2003; 11: 1325–32.CrossRefGoogle ScholarPubMed
5Gillman, MW, Pinto, BM, Tennstedt, S, Glanz, K, Marcus, B, Friedman, RH. Relationships of physical activity with dietary behaviors among adults. Preventive Medicine 2001; 32: 295–301.CrossRefGoogle ScholarPubMed
6Kvaavik, E, Meyer, HE, Tverdal, A. Food habits, physical activity and body mass index in relation to smoking status in 40–42 year old Norwegian women and men. Preventive Medicine 2004; 38: 1–5.CrossRefGoogle ScholarPubMed
7Laaksonen, M, Prattala, R, Karisto, A. Patterns of unhealthy behaviour in Finland. European Journal of Public Health 2001; 11: 294–300.CrossRefGoogle ScholarPubMed
8James, J, Thomas, P, Cavan, D, Kerr, D. Preventing childhood obesity by reducing consumption of carbonated drinks: cluster randomised controlled trial. British Medical Journal 2004; 328: 1237.CrossRefGoogle ScholarPubMed
9Ludwig, DS, Peterson, KE, Gortmaker, SL. Relation between consumption of sugar-sweetened drinks and childhood obesity: a prospective, observational analysis. Lancet 2001; 357: 505–8.CrossRefGoogle ScholarPubMed
10Raben, A, Vasilaras, TH, Moller, AC, Astrup, A. Sucrose compared with artificial sweeteners: different effects on ad libitum food intake and body weight after 10 wk of supplementation in overweight subjects. American Journal of Clinical Nutrition 2002; 76: 721–9.CrossRefGoogle ScholarPubMed
11Tordoff, MG, Alleva, AM. Effect of drinking soda sweetened with aspartame or high-fructose corn syrup on food intake and body weight. American Journal of Clinical Nutrition 1990; 51: 963–9.CrossRefGoogle ScholarPubMed
12World Health Organization (WHO)/Food and Agriculture Organization (FAO). Diet, Nutrition and the Prevention of Chronic Diseases. Report of a WHO/FAO Expert Consultation. Technical Report Series No. 916. Geneva: WHO, 2003.Google Scholar
13Lewis, CE, Jacobs, DR Jr, McCreath, H. Weight gain continues in the 1990s: 10-year trends in weight and overweight from the CARDIA study. Coronary Artery Risk Development in Young Adults. American Journal of Epidemiology 2000; 151: 1172–81.CrossRefGoogle ScholarPubMed
14Livingstone, MB. Childhood obesity in Europe: a growing concern. Public Health Nutrition 2001; 4: 109–16.CrossRefGoogle ScholarPubMed
15Tverdal, A. Prevalence of obesity among persons aged 40–42 years in two periods. Tidsskrift for den Norske Laegeforening 2001; 121: 667–72. [in Norwegian].Google ScholarPubMed
16Kelder, SH, Perry, CL, Klepp, KI, Lytle, LL. Longitudinal tracking of adolescent smoking, physical activity, and food choice behaviors. American Journal of Public Health 1994; 84: 1121–6.CrossRefGoogle ScholarPubMed
17Post, GB, de Vente, W, Kemper, HC, Twisk, JW. Longitudinal trends in and tracking of energy and nutrient intake over 20 years in a Dutch cohort of men and women between 13 and 33 years of age: The Amsterdam Growth and Health Longitudinal Study. British Journal of Nutrition 2001; 85: 375–85.CrossRefGoogle Scholar
18Cusatis, DC, Chinchilli, VM, Johnson-Rollings, N. Longitudinal nutrient intake patterns of US adolescent women: the Penn State Young Women's Health Study. Journal of Adolescent Health 2000; 26: 194–204.CrossRefGoogle ScholarPubMed
19Lien, N, Lytle, LA, Klepp, KI. Stability in consumption of fruit, vegetables, and sugary foods in a cohort from age 14 to age 21. Preventive Medicine 2001; 33: 217–26.CrossRefGoogle Scholar
20Welten, DC, Kemper, HC, Post, GB. Longitudinal development and tracking of calcium and dairy intake from teenager to adult. European Journal of Clinical Nutrition 1997; 51: 612–8.CrossRefGoogle ScholarPubMed
21Klepp, K-I, Øygard, L, Tell, GS, Vellar, OD. Twelve year follow-up of a school-based health education programme. The Oslo Youth Study. European Journal of Public Health 1994; 4: 195–200.CrossRefGoogle Scholar
22Andersen, LF, Solvoll, K, Johansson, LR. Evaluation of a food frequency questionnaire with weighed records, fatty acids, and alpha-tocopherol in adipose tissue and serum. American Journal of Epidemiology 1999; 150: 75–87.CrossRefGoogle ScholarPubMed
23Nes, M, Frost, AL, Solvoll, K. Accuracy of a quantitative food frequency questionnaire applied in elderly Norwegian women. European Journal of Clinical Nutrition 1992; 46: 809–21.Google ScholarPubMed
24Food and Agriculture Organization (FAO)/World Health Organization (WHO)/United Nations University (UNU). Energy and Protein Requirements. Report of a Joint FAO/WHO/UNU Expert Consultation. Technical Report Series No. 724. Geneva: WHO, 1985.Google Scholar
25Black, AE. Critical evaluation of energy intake using the Goldberg cut-off for energy intake:basal metabolic rate. A practical guide to its calculation, use and limitations. International Journal of Obesity and Related Metabolic Disorders 2000; 24: 1119–30.CrossRefGoogle Scholar
26Goldberg, GR, Black, AE, Jebb, SA. Critical evaluation of energy intake data using fundamental principles of energy physiology: 1. Derivation of cut-off limits to identify under- recording. European Journal of Clinical Nutrition 1991; 45: 569–81.Google ScholarPubMed
27French, SA, Hennrikus, DJ, Jeffery, RW. Smoking status, dietary intake, and physical activity in a sample of working adults. Health Psychology 1996; 15: 448–54.CrossRefGoogle Scholar
28Schuit, AJ, van Loon, AJ, Tijhuis, M, Ocke, M. Clustering of lifestyle risk factors in a general adult population. Preventive Medicine 2002; 35: 219–24.CrossRefGoogle Scholar
29Beridot-Therond, ME, Arts, I, Fantino, M. Short-term effects of the flavour of drinks on ingestive behaviours in man. Appetite 1998; 31: 67–81.CrossRefGoogle ScholarPubMed
30De Castro, JM. The effects of the spontaneous ingestion of particular foods or beverages on the meal pattern and overall nutrient intake of humans. Physiology & Behavior 1993; 53: 1133–44.CrossRefGoogle ScholarPubMed
31Mattes, RD. Dietary compensation by humans for supplemental energy provided as ethanol or carbohydrate in fluids. Physiology & Behavior 1996; 59: 179–87.CrossRefGoogle ScholarPubMed
32Goris, AH, Westerterp-Plantenga, MS, Westerterp, KR. Undereating and underrecording of habitual food intake in obese men: selective underreporting of fat intake. American Journal of Clinical Nutrition 2000; 71: 130–4.CrossRefGoogle ScholarPubMed
33Voss, S, Kroke, A, Klipstein-Grobusch, K, Boeing, H. Is macronutrient composition of dietary intake data affected by underreporting? Results from the EPIC-Potsdam Study. European Prospective Investigation into Cancer and Nutrition. European Journal of Clinical Nutrition 1998; 52: 119–26.CrossRefGoogle ScholarPubMed
34Lafay, L, Mennen, L, Basdevant, A. Does energy intake underreporting involve all kinds of food or only specific food items? Results from the Fleurbaix Laventie Ville Sante (FLVS) study. International Journal of Obesity and Related Metabolic Disorders 2000; 24: 1500–6.CrossRefGoogle ScholarPubMed
35Poppitt, SD, Swann, D, Black, AE, Prentice, AM. Assessment of selective under-reporting of food intake by both obese and non-obese women in a metabolic facility. International Journal of Obesity and Related Metabolic Disorders 1998; 22: 303–11.CrossRefGoogle Scholar
36Heerstrass, DW, Ocke, MC, Bueno-de-Mesquita, HB. Underreporting of energy, protein and potassium intake in relation to body mass index. International Journal of Epidemiology 1998; 27: 186–93.CrossRefGoogle ScholarPubMed
37DelPrete, LR, Caldwell, M, English, C. Self-reported and measured weights and heights of participants in community-based weight loss programs. Journal of the American Dietetic Association 1992; 92: 1483–6.CrossRefGoogle ScholarPubMed
38Niedhammer, I, Bugel, I, Bonenfant, S. Validity of self-reported weight and height in the French GAZEL cohort. International Journal of Obesity and Related Metabolic Disorders 2000; 24: 1111–8.CrossRefGoogle ScholarPubMed
39Kvaavik, E, Tell, GS, Klepp, KI. Stability of body mass index from adolescence to adulthood. Tidsskrift for den Norske Laegeforening 2002; 122: 894–900. [in Norwegian].Google ScholarPubMed
40Kvaavik, E, Tell, GS, Klepp, KI. Predictors and tracking of body mass index from adolescence into adulthood: follow-up of 18 to 20 years in the Oslo Youth Study. Archives of Pediatrics & Adolescent Medicine 2003; 157: 1212–8.CrossRefGoogle ScholarPubMed
41Roberts, RJ. Can self-reported data accurately describe the prevalence of overweight? Public Health 1995; 109: 275–84.CrossRefGoogle ScholarPubMed
42Jeffery, RW. Bias in reported body weight as a function of education, occupation, health and weight concern. Addictive Behaviors 1996; 21: 217–22.CrossRefGoogle ScholarPubMed
43Skårer, C. A method evaluation of questions asked at age 16-, 18-, and 19 years in The Norwegian Longitudinal Health Behaviour Study. Master thesis, Department of Nutrition, University of Oslo, 2001 [in Norwiegan].Google Scholar
44Chassin, L, Presson, CC, Sherman, SJ, Edwards, DA. The natural history of cigarette smoking: predicting young-adult smoking outcomes from adolescent smoking patterns. Health Psychology 1990; 9: 701–16.CrossRefGoogle ScholarPubMed
45Perkins, KA. Weight gain following smoking cessation. Journal of Consulting and Clinical Psychology 1993; 61: 768–77.CrossRefGoogle ScholarPubMed
46Johansson, L, Solvoll, K. Norkost 1997. Oslo: Directorate for Health and Social Affairs, 1999 [in Norwegian].Google Scholar