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Trends in energy and macronutrient intakes, body weight and physical activity in female university students (1988–2003), and effects of excluding under-reporters

Published online by Cambridge University Press:  09 March 2007

Penelope M. Warwick*
Affiliation:
School of Biological, Biomedical and Molecular Sciences, Statistics and Computer Science, University of New England, Armidale NSW 2351, Australia
Jacqueline Reid
Affiliation:
School of Mathematics, Statistics and Computer Science, University of New England, Armidale NSW 2351, Australia
*
*Corresponding author: Dr Penny Warwick, fax +61 2 6773 3267, email pwarwick@pobox.une.edu.au
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Abstract

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The present study investigated trends in reported energy intake, macronutrient intake, physical activity level (PAL) and body weight and effects of excluding under-reporters (UR). Dietary intake and time spent in sixteen activity categories were recorded by 887 female university students (median age 29 years) from 1988 to 2003. Energy expenditure (EE) and PAL were measured using a factorial method. All data collected were self-reported. Individuals with reported EI:EE<0·76 were classified as UR. The remainder were classified as non-under-reporters (NUR). Trends were determined from simple linear regression of median data for each year for the entire cohort (ALL) and for NUR and UR separately, and from multiple regression analysis with the subgroups (NUR and UR) as an additional predictor (BOTH). Prevalence of under-reporting and overweight increased between 1988 and 2003. In ALL and BOTH there were trends to increased body mass, protein intake (g/d and % energy) and carbohydrate intake (% energy only) and decreased fat and alcohol intakes (g/d and % energy). In BOTH there were also increases in reported EI and carbohydrate intake (g/d). None of the trends in NUR was significantly different from those in UR, but some trends in ALL and/or BOTH were not significant when UR were excluded. Trends remaining significant in NUR were increased reported energy intake, protein (g/d) and carbohydrate (g/d) intakes, and decreased fat (% energy only) intake. There were no significant trends in PAL. We conclude that some, but not all, dietary trends were affected by exclusion of UR.

Type
Research Article
Copyright
Copyright © The Nutrition Society 2004

References

Anand, RS & Basiotis, PP (1998) Is total fat consumption really decreasing?. Nutr Today 33, 171172.Google Scholar
Arnett, DK, McGovern, PG, Jacobs, DR, Shahar, E, Duval, S, Blackburn, H & Luepker, RV (2002) Fifteen-year trends in cardiovascular risk factors (1980–1982 through 1995–1997). The Minnesota Heart Survey. Am J Epidemiol 156, 929935.CrossRefGoogle ScholarPubMed
Arnett, DK, Xiong, B, McGovern, PG, Blackburn, H & Luepker, RV (2000) Secular trends in dietary macronutrient intake in Minneapolis-St. Paul, Minnesota, 1980–1992. Am J Epidemiol 152, 868873.CrossRefGoogle ScholarPubMed
Barengo, NC, Nissinen, A, Tuomilehto, J & Pekkarinen, H (2002) Twenty-five year trends in physical activity of 30–59-year old populations in Eastern Finland. Med Sci Sports Exerc 34, 13021307.CrossRefGoogle Scholar
Bauman, A, Armstrong, T, Davies, J, Owen, N, Brown, W, Bellew, B & Vita, P (2003) Trends in physical activity participation and the impact of integrated campaigns among Australian adults, 1997–1999. Aust NZ J Public Health 27, 7679.CrossRefGoogle Scholar
Black, AE (2000 a) 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. Int J Obes 24, 11191130.CrossRefGoogle Scholar
Black, AE (2000 b) The sensitivity and specificity of the Goldberg cut-off for EI:BMR for identifying diet reports of poor validity. Eur J Clin Nutr 54, 395404.CrossRefGoogle ScholarPubMed
Black, AE, Coward, WA, Cole, TJ & Prentice, AM (1996) Human energy expenditure in affluent societies: an analysis of 574 doubly-labelled water measurements. Eur J Clin Nutr 50, 7292.Google ScholarPubMed
Becker, W, Foley, S, Shelley, E & Gibney, M (1999) Energy under-reporting in Swedish and Irish dietary surveys: implications for food-based dietary guidelines. Br J Nutr 81 Suppl. 2S127S131.CrossRefGoogle ScholarPubMed
Becker, W & Welten, D (2001) Under-reporting in dietary surveys – implications for development of food-based dietary guidelines. Public Health Nutr 4, 683687.CrossRefGoogle ScholarPubMed
Bruce, MJ & Katzmarzyk, PT (2002) Canadian population trends in leisure-time physical activity levels, 1981–1998. Can J Appl Physiol 27, 681690.CrossRefGoogle ScholarPubMed
Cameron, AJ, Welborn, TA, Zimmett, PZ, Dunstan, DW, Owen, N, Salmon, J, Dalton, M, Jolley, D & Shaw, JE (2003) Overweight and obesity in Australia: the 1999–2000 Australian, obesity and lifestyle study (AusDiab). Med J Aust 178, 427432.CrossRefGoogle ScholarPubMed
Cook, T, Rutishauser, I & Seelig, M (2001) Comparable Data on Food and Nutrient Intake and Physical Measurements from the 1983, 1985 and 1995 National Nutrition Surveys. Canberra: Commonwealth Department of Health and Aged Care.Google Scholar
Crane, NT, Lewis, CJ & Yetley, EA (1992) Do time trends in food supply levels of macronutrients reflect survey estimates of macronutrient intake? Am J Public Health 82, 862866.CrossRefGoogle ScholarPubMed
Durnin, JVGA (1978) Indirect calorimetry in man: a critique of practical problems. Proc Nutr Soc 37, 512.CrossRefGoogle Scholar
Edholm, OG (1961) Energy expenditure and calorie intake in young men. Proc Nutr Soc 20, 7176.CrossRefGoogle ScholarPubMed
Food and Agricultural Organization (2004) Energy in Human Nutrition. Report of a Joint FAO/WHO/UNU Expert Consultation. Food and Agricultural Organization Food and Nutrition Paper no. 78, Rome: FAO.Google Scholar
Goris, AHC, Meijer, EP & Westerterp, KR (2001) Repeated measurement of habitual food intake increases under-reporting and induces selective under-reporting. Br J Nutr 85, 629634.CrossRefGoogle ScholarPubMed
Gray-Donald, K, Jacobs-Starkey, L, Johnson-Down, L (2000) Food habits of Canadians: reduction in fat intake over a generation. Can J Public Health 91, 381385.CrossRefGoogle ScholarPubMed
Harnack, LJ, Jeffrey, RW & Boutelle, KN (2000) Temporal trends in energy intake in the United States: an ecologic perspective. Am J Clin Nutr 71, 14781484.CrossRefGoogle ScholarPubMed
Heini, AF & Weinsier, RL (1997) Divergent trends in obesity and fat intake patterns: the American paradox. Am J Med 102, 259264.CrossRefGoogle ScholarPubMed
Heitmann, BL, Lissner, L & Osler, M (2000) Do we eat less fat or just report so? Int J Obes 24, 435442.CrossRefGoogle ScholarPubMed
Hill, JO & Melanson, EL (1999) Overview of the determinants of overweight and obesity: current evidence and research issues. Med Sci Sports Exerc 31 Suppl.S515S521.CrossRefGoogle ScholarPubMed
Hill, RJ & Davies, PSW (2001) The validity of self-reported energy intake as determined using the doubly labelled water technique. Br J Nutr 85, 415430.CrossRefGoogle ScholarPubMed
Hirvonen, T, Mannisto, S, Roos, E & Pietinen, P (1997) Increasing prevalence of underreporting does not necessarily distort dietary surveys. Eur J Clin Nutr 51, 297301.CrossRefGoogle Scholar
Hulshoff, KFAM, Brussaard, JH, Kruizinga, AG, Telman, J & Lowick, MRH (2003) Socio-economic status, dietary intake and 10 y trends: the Dutch National Food Consumption survey. Eur J Clin Nutr 57, 128137.CrossRefGoogle Scholar
Institute of Medicine (2002) Energy Dietary Reference Intakes for Energy, Carbohydrate, Fiber, Fat, Fatty Acids, Cholesterol, Protein and Amino Acids. 93206, [Food and Nutrition Board and Institute of Medicine, editors]. Washington, DC: National Academy Press.Google Scholar
Irwin, ML, Ainsworth, BE & Conway, JM (2001) Estimation of energy expenditure from physical activity measures: determinants of accuracy. Obes Res 9, 517525.CrossRefGoogle ScholarPubMed
Jakicic, JM, Polley, BA & Wing, RR (1998) Accuracy of self-reported exercise and the relationship with weight loss in overweight women. Med Sci Sports Exerc 30, 634638.CrossRefGoogle ScholarPubMed
Jebb, SA & Moore, MS (1999) Contribution of a sedentary lifestyle and inactivity to the etiology of overweight and obesity: current evidence and research issues. Med Sci Sports Exerc 31 Suppl.S534S541.CrossRefGoogle Scholar
Jeffery, RW & Utter, J (2003) The changing environment and population obesity in the United States. Obes Res 11, 12S22S.CrossRefGoogle ScholarPubMed
Kennedy, ET, Bowman, SA & Powell, R (1999) Dietary-fat intake in the US population. J Am Coll Nutr 18, 207212.CrossRefGoogle ScholarPubMed
Lichtman, SW, Pisarska, K, Bernman, ER, Pestone, M, Dowling, H, Offenbacher, E, Weisel, H, Heshka, S, Matthews, DE & Heymsfield, S (1992) Discrepancy between self-reported and actual caloric intake and exercise in obese subjects. N Engl J Med 327, 18931898.CrossRefGoogle ScholarPubMed
Lindahl, B, Stegmayr, B, Johansson, I, Weinehall, L & Hallmans, G (2003) Trends in lifestyle 1986–1989 in a 25- to 64-year-old population of the Northern Sweden MONICA project. Scand J Public Health 61 Suppl.3137.CrossRefGoogle Scholar
Lindquist, CH & Bray, RM (2001) Trends in overweight and physical activity among U.S. military personnel, 1995–1998. Prev Med 32, 5765.CrossRefGoogle ScholarPubMed
McCrory, MA, Hajduk, CL & Roberts, SB (2002 a) Procedures for screening out inaccurate reports of dietary energy intake. Public Health Nutr 5, 873882.CrossRefGoogle ScholarPubMed
McCrory, MA, Suen, VMM & Roberts, SB (2002 b) Biobehavioural influences on energy intake and adult weight gain. J Nutr 132, 3830S3834S.CrossRefGoogle Scholar
Macdiarmid, J & Blundell, J (1998) Assessing dietary intake: who, what and why of under-reporting. Nutr Res Rev 11, 231253.CrossRefGoogle ScholarPubMed
Macdiarmid, JI, Vail, A, Cade, JE & Blundell, JE (1998) The sugar-fat relationship revisited: differences in consumption between men and women of varying BMI. Int J Obes 22, 10531061.CrossRefGoogle ScholarPubMed
Mclennan, W & Podger, A (1998) National Nutrition Survey: Nutrient Intakes and Physical Measurements, Australia 1995. Canberra: Australian Bureau of Statistics.Google Scholar
National Heart Foundation (1990) Risk Factor Prevalence Study Survey No. 3, 1989. Canberra: National Heart Foundation of Australia and Australian Institute of Health.Google Scholar
Nielsen, SJ, Siega-Riz, AM & Popkin, BM (2002) Trends in energy intake in U.S. between 1997 and 1996: similar shifts seen across age groups. Obes Res 10, 370378.CrossRefGoogle Scholar
Norris, J, Harnack, L, Carmichael, S, Pouane, T, Wakimoto, P & Block, G (1997) US trends in nutrient intake: the 1987 and 1992 National Health Interview Surveys. Am J Public Health 87, 740746.CrossRefGoogle ScholarPubMed
Rodriguez, AF, Lopez, GE, Guitierrez-Fisac, JL, Bangeas, BJR, Lafuente, UPJ & Dominguez, RV (2002) Changes in the prevalence of overweight and obesity and their risk factors in Spain, 1987–1997. Prev Med 34, 7281.CrossRefGoogle Scholar
Rosell, MS, Hellenius, MB, de Faire, UH & Johansson, GK (2003) Associations between diet and the metabolic syndrome vary with the validity of dietary intake data. Am J Clin Nutr 78, 8490.CrossRefGoogle ScholarPubMed
Saltzman, E & Roberts, SB (1995) The role of energy expenditure in energy regulation: findings from a decade of research. Nutr Rev 53, 209220.CrossRefGoogle ScholarPubMed
Schofield, WN, Schofield, C & James, WPT (1985) Basal metabolic rate: review and prediction together with an annotated bibliography of source material. Hum Nutr Clin Nutr 39C, Suppl. 1196.Google Scholar
Schutz, Y, Weinsier, RL & Hunter, GR (2001) Assessment of free-living physical activity in humans: an overview of currently available and proposed new measures. Obes Res 9, 368378.CrossRefGoogle ScholarPubMed
Simmons, G, Jackson, R, Swinburn, B & Yee, RL (1996) The increasing prevalence of obesity in New Zealand: is it related to recent trends in smoking and physical activity? NZ Med J 109, 9092.Google ScholarPubMed
Stallone, DD, Brunne, REJ, Bingham, SA & Marmot, MG (1997) Dietary assessment in Whitehall II. The influence of reporting bias on apparent socioeconomic variation in nutrient intakes. Eur J Clin Nutr 51, 815825.CrossRefGoogle ScholarPubMed
Talbott, LA, Fleg, JL & Metter, EJ (2003) Secular trends in leisure-time physical activity in men and women across four decades. Prev Med 37, 5260.CrossRefGoogle Scholar
Warwick, PM (1989) Predicting food energy requirements from estimates of energy expenditure. Aust J Nutr Diet 46 Suppl.S1S28.Google Scholar
Warwick, PM & Baines, J (1996) Energy expenditure in free-living smokers and nonsmokers: comparison between factorial, intake-balance, and doubly labeled water measures. Am J Clin Nutr 63, 1521.CrossRefGoogle ScholarPubMed
Warwick, PM & Busby, R (1991) Factorial estimation of daily energy expenditure in university students: comparison with recorded energy intake. Aust J Nutr Diet 48, 9599.Google Scholar
World Health OrganizationWorld Health Organization (2000) Obesity: Preventing and Managing the Global Epidemic. World Health Organization Technical Report Series. Geneva: WHO no. 894.Google Scholar