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Food and drinking patterns as predictors of 6-year BMI-adjusted changes in waist circumference

Published online by Cambridge University Press:  09 March 2007

Jytte Halkjær ,
Thorkild IA Sørensen ,
Anne Tjønneland ,
Per Togo ,
Claus Holst  and
Berit L Heitmann
Jytte Halkjær*
Affiliation:
Danish Epidemiology Science Centre at the Institute of Preventive MedicineCopenhagen University Hospital, Copenhagen, Denmark Research Unit for Dietary Studies at the Institute of Preventive Medicine, Copenhagen University Hospital, Copenhagen, Denmark Research Centre for Prevention and Health, Glostrup University Hospital, Glostrup, Denmark
Thorkild IA Sørensen
Affiliation:
Danish Epidemiology Science Centre at the Institute of Preventive MedicineCopenhagen University Hospital, Copenhagen, Denmark
Anne Tjønneland
Affiliation:
Institute of Cancer Epidemiology, Danish Cancer Society, Copenhagen, Denmark
Per Togo
Affiliation:
Danish Epidemiology Science Centre at the Institute of Preventive MedicineCopenhagen University Hospital, Copenhagen, Denmark Research Unit for Dietary Studies at the Institute of Preventive Medicine, Copenhagen University Hospital, Copenhagen, Denmark
Claus Holst
Affiliation:
Danish Epidemiology Science Centre at the Institute of Preventive MedicineCopenhagen University Hospital, Copenhagen, Denmark
Berit L Heitmann
Affiliation:
Danish Epidemiology Science Centre at the Institute of Preventive MedicineCopenhagen University Hospital, Copenhagen, Denmark Research Unit for Dietary Studies at the Institute of Preventive Medicine, Copenhagen University Hospital, Copenhagen, Denmark
*
*Corresponding author: Dr Jytte Halkjær, fax +45 33324240, email jh@ipm.hosp.dk
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Abstract

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Few studies have investigated the prospective associations between diet or drinking patterns and abdominal obesity; we therefore investigated whether food and beverage groups or patterns predicted 6-year changes in waist circumference (WC) and whether these associations were independent of concurrent changes in BMI as a measure of general obesity. The subjects were 2300 middle-aged men and women with repeated measurements of dietary intake, BMI and WC from 1982 to 1993. Intakes from ten food groups and from coffee, tea, wine, beer and spirits were assessed; gender-specific food factors were identified by factor analyses. Multiple linear regression analyses were done before and after adjustment for concurrent changes in BMI. A high intake of potatoes seemed to prevent gain in WC for men, while a high intake of refined bread was associated with gain in WC for women. The association persisted for refined bread, but not for potatoes, after adjustment for concurrent BMI changes. Among women, but not men, high intakes of beer and spirits were associated with gain in WC in both models. A high intake of coffee for women and moderate to high intake of tea for men were associated with gain in WC, but the associations were weakened, especially for women, after adjustment for BMI changes. None of the food factors was associated with WC changes. Based on the present study, we conclude that very few food items and no food patterns seem to predict changes in WC, whereas high intakes of beer and spirits among women, and moderate to high tea intake among men, may promote gain in WC.

Keywords

Abdominal obesityFood patternsProspective studyWaist circumference

Information

Type
Research Article
Information
British Journal of Nutrition , Volume 92 , Issue 4 , October 2004 , pp. 735 - 748
Copyright
Copyright © The Nutrition Society 2004

References

Baecke, JA, Burema, J, Frijters, JE, Hautvast, JG & van der Wiel-Wetzels, WA (1983) Obesity in young Dutch adults: II, Daily life-style and body mass index. Int J Obes 7, 13–24.Google ScholarPubMed
Bigaard, J, Tjønneland, A, Thomsen, BL, Overvad, K, Heitmann, BL & Sørensen, TIA (2003) Waist circumference, BMI, smoking, and mortality in middle-aged men and women. Obes Res 11, 895–903.CrossRefGoogle ScholarPubMed
Bjorntorp, P (1996) The regulation of adipose tissue distribution in humans. Int J Obes Relat Metab Disord 20, 291–302.Google ScholarPubMed
Bracco, D, Ferrarra, JM, Arnaud, MJ, Jequier, E & Schutz, Y (1995) Effects of caffeine on energy metabolism, heart rate, and methylxanthine metabolism in lean and obese women. Am J Physiol 269, E671–E678.Google ScholarPubMed
Brand-Miller, JC, Holt, SH, Pawlak, DB & McMillan, J (2002) Glycemic index and obesity. Am J Clin Nutr 76, 281S–285S.CrossRefGoogle ScholarPubMed
Carey, DGP, Nguyen, TV, Campbell, LV, Chrisholm, DJ & Kelly, P (1996) Genetic influences on central abdominal fat: a twin Study. Int J Obes Relat Metab Disord 20, 722–726.Google ScholarPubMed
Chan, D, Watts, G, Barrett, P & Burke, V (2003) Waist circumference, waist-to-hip ratio and body mass index as predictors of adipose tissue compartments in men. Q J Med 96, 441–447.CrossRefGoogle ScholarPubMed
Chan, JM, Rimm, EB, Colditz, GA, Stampfer, MJ & Willett, WC (1994) Obesity, fat distribution, and weight gain as risk factors for clinical diabetes in men. Diabetes Care 17, 961–969.CrossRefGoogle ScholarPubMed
Colditz, GA, Willett, WC, Stampfer, MJ, London, SJ, Segal, MR & Speizer, FE (1990) Patterns of weight change and their relation to diet in a cohort of healthy women. Am J Clin Nutr 51, 1100–1105.CrossRefGoogle Scholar
Dallongeville, J, Marecaux, N, Ducimetiere, P, Ferrieres, J, Arveiler, D, Bingham, A, Ruidavets, JB, Simon, C & Amouyel, P (1998) Influence of alcohol consumption and various beverages on waist girth and waist-to-hip ratio in a sample of French men and women. Int J Obes Relat Metab Disord 22, 1178–1183.CrossRefGoogle Scholar
Delvaux, K, Lysens, R, Philippaerts, R, Thomis, M, Vanreusel, B, Claessens, AL, Vanden Eynde, B, Beunen, G, Lefevre, J (1999) Associations between physical activity, nutritional practices and health-related anthropometry in Flemish males: a 5-year follow-up study. Int J Obes Relat Metab Disord 23, 1233–1241.CrossRefGoogle Scholar
Dobbelsteyn, CJ, Joffres, MR, MacLean, DR & Flowerdew, G (2001) A comparative evaluation of waist circumference, waist-to-hip ratio and body mass index as indicators of cardiovascular risk factors. The Canadian Heart Health Surveys. Int J Obes Relat Metab Disord 25, 652–661.CrossRefGoogle ScholarPubMed
Dulloo, AG, Geissler, CA, Horton, T, Collins, A & Miller, DS (1989) Normal caffeine consumption: influence on thermogenesis and daily energy expenditure in lean and postobese human volunteers. Am J Clin Nutr 49, 44–50.CrossRefGoogle ScholarPubMed
Duncan, BB, Chambless, LE, Schmidt, MI, Folsom, AR, Szklo, M, Crouse, JR III, Carpenter, MA (1995) Association of the waist-to-hip ratio is different with wine than with beer or hard liquor consumption. Atherosclerosis Risk in Communities Study Investigators. Am J Epidemiol 142, 1034–1038.CrossRefGoogle ScholarPubMed
Ebbeling, CB & Ludwig, DS (2001) Treating obesity in youth: should dietary glycemic load be a consideration?. Adv Pediatr 48, 179–212.CrossRefGoogle ScholarPubMed
Eck, LH, Pascale, RW, Klesges, RC, Ray, JA & Klesges, LM (1995) Predictors of waist circumference change in healthy young adults. Int J Obes Relat Metab Disord 19, 765–769.Google ScholarPubMed
Fung, TT, Rimm, EB, Spiegelman, D, Rifai, N, Tofler, GH, Willett, WC & Hu, FB (2001) Association between dietary patterns and plasma biomarkers of obesity and cardiovascular disease risk. Am J Clin Nutr 73, 61–67.CrossRefGoogle ScholarPubMed
George, V, Tremblay, A, Despres, JP, Leblanc, C & Bouchard, C (1990) Effect of dietary fat content on total and regional adiposity in men and women. Int J Obes 14, 1085–1094.Google ScholarPubMed
Greenwood, DC, Cade, JE, Draper, A, Barrett, JH, Calvert, C & Greenhalgh, A (2000) Seven unique food consumption patterns identified among women in the UK Women's Cohort Study. Eur J Clin Nutr 54, 314–320.CrossRefGoogle ScholarPubMed
Grinker, JA, Tucker, K, Vokonas, PS & Rush, D (1995) Body habitus changes among adult males from the normative aging study: relations to aging, smoking history and alcohol intake. Obes Res 3, 435–446.CrossRefGoogle ScholarPubMed
Han, TS, Bijnen, FC, Lean, ME & Seidell, JC (1998) Separate associations of waist and hip circumference with lifestyle factors. Int J Epidemiol 27, 422–430.CrossRefGoogle ScholarPubMed
Haveman-Nies, A, Tucker, KL, de Groot, LC, Wilson, PW, van Staveren, WA (2001) Evaluation of dietary quality in relationship to nutritional and lifestyle factors in elderly people of the US Framingham Heart Study and the European SENECA study. Eur J Clin Nutr 55, 870–880.CrossRefGoogle ScholarPubMed
Heitmann, BL & Lissner, L (1995) Dietary underreporting by obese individuals – is it specific or nonspecific?. Br Med J 311, 986–989.CrossRefGoogle ScholarPubMed
Heitmann, BL, Lissner, L & Osler, M (2000) Do we eat less fat, or just report so?. Int J Obes Relat Metab Disord 24, 435–442.CrossRefGoogle ScholarPubMed
Hu, FB, Rimm, EB, Stampfer, MJ, Ascherio, A, Spiegelman, D & Willett, WC (2000) Prospective study of major dietary patterns and risk of coronary heart disease in men. Am J Clin Nutr 72, 912–921.CrossRefGoogle ScholarPubMed
Jacobs, DR Jr, Meyer, KA, Kushi, LH, Folsom, AR (1998) Whole-grain intake may reduce the risk of ischemic heart disease death in postmenopausal women: the Iowa Women's Health Study. Am J Clin Nutr 68, 248–257.CrossRefGoogle ScholarPubMed
Jacobsen, BK & Thelle, DS (1987) The Tromso Heart Study: the relationship between food habits and the body mass index. J Chronic Dis 40, 795–800.CrossRefGoogle Scholar
Johansen, D, Andersen, PK, Overvad, K, Jensen, G, Schnohr, P, Sørensen, TIA, Grønbæk, M (2003) Energy adjustment methods applied to alcohol analyses. Alcohol 31, 11–17.CrossRefGoogle ScholarPubMed
Kahn, HS, Tatham, LM, Rodriguez, C, Calle, EE, Thun, MJ, Heath, CW Jr (1997) Stable behaviors associated with adults' 10-year change in body mass index and likelihood of gain at the waist. Am J Public Health 87, 747–754.CrossRefGoogle ScholarPubMed
Kamycheva, E, Joakimsen, RM & Jorde, R (2003) Intakes of calcium and vitamin D predict body mass index in the population of Northern Norway. J Nutr 133, 102–106.CrossRefGoogle ScholarPubMed
Kaye, SA, Folsom, AR, Prineas, RJ, Potter, JD & Gapstur, M (1990) The association of body fat distribution with life style and reproductive factors in a population study of postmenopausal women. Int J Obes 14, 583–591.Google Scholar
Koh-Banerjee, P, Chu, NF, Spiegelman, D, Rosner, B, Colditz, G, Willett, W & Rimm, E (2003) Prospective study of the association of changes in dietary intake, physical activity, alcohol consumption, and smoking with 9-y gain in waist circumference among 16 587 US men. Am J Clin Nutr 78, 719–727.CrossRefGoogle ScholarPubMed
Kromhout, D, Saris, WH & Horst, CH (1988) Energy intake, energy expenditure, and smoking in relation to body fatness: the Zutphen Study. Am J Clin Nutr 47, 668–674.CrossRefGoogle ScholarPubMed
Lakka, HM, Lakka, TA, Tuomilehto, J & Salonen, JT (2002) Abdominal obesity is associated with increased risk of acute coronary events in men. Eur Heart J 23, 706–713.CrossRefGoogle ScholarPubMed
Lapidus, L, Bengtsson, C, Hallstrom, T & Bjorntorp, P (1989) Obesity, adipose tissue distribution and health in women – results from a population study in Gothenburg, Sweden. Appetite 13, 25–35.CrossRefGoogle ScholarPubMed
Larson, DE, Hunter, GR, Williams, MJ, Kekes-Szabo, T, Nyikos, I & Goran, MI (1996) Dietary fat in relation to body fat and intraabdominal adipose tissue: a cross-sectional analysis. Am J Clin Nutr 64, 677–684.CrossRefGoogle ScholarPubMed
Laws, A, Terry, RB, Barrett-Connor, E (1990) Behavioral covariates of waist-to-hip ratio in Rancho Bernardo. Am J Public Health 80, 1358–1362.CrossRefGoogle ScholarPubMed
Lean, ME, Han, TS & Morrison, CE (1995) Waist circumference as a measure for indicating need for weight management. Br Med J 311, 158–161.CrossRefGoogle ScholarPubMed
Lemieux, S (1997) Genetic susceptibility to visceral obesity and related clinical implications. Int J Obes Relat Metab Disord 21, 831–838.CrossRefGoogle ScholarPubMed
Liebman, M, Pelican, S, Moore, SA, Holmes, B, Wardlaw, MK, Melcher, LM, Liddil, AC, Paul, LC, Dunnagan, T & Haynes, GW (2003) Dietary intake, eating behavior, and physical activity-related determinants of high body mass index in rural communities in Wyoming, Montana, and Idaho. Int J Obes Relat Metab Disord 27, 684–692.CrossRefGoogle ScholarPubMed
Lissner, L, Bjorkelund, C, Heitmann, BL, Seidell, JC & Bengtsson, C (2001) Larger hip circumference independently predicts health and longevity in a Swedish female cohort. Obes Res 9, 644–646.CrossRefGoogle Scholar
Lissner, L, Heitmann, BL & Bengtsson, C (2000) Population studies of diet and obesity. Br J Nutr 83, Suppl. 1, S21–S24.CrossRefGoogle ScholarPubMed
Ludwig, DS (2000) Dietary glycemic index and obesity. J Nutr 130, 280S–283S.CrossRefGoogle ScholarPubMed
Ludwig, DS, Pereira, MA, Kroenke, CH, Hilner, JE, Van Horn, L, Slattery, ML, Jacobs, DR Jr (1999) Dietary fiber, weight gain, and cardiovascular disease risk factors in young adults. J Am Med Assoc 282, 1539–1546.CrossRefGoogle ScholarPubMed
McKeown, NM, Meigs, JB, Liu, S, Wilson, PW & Jacques, PF (2002) Whole-grain intake is favorably associated with metabolic risk factors for type 2 diabetes and cardiovascular disease in the Framingham Offspring Study. Am J Clin Nutr 76, 390–398.CrossRefGoogle ScholarPubMed
Merkus, MP, Mathus-Vliegen, LMH, Broeckhoff, C & Heijnen, AMP (1995) Extreme obesity: sociodemographic, familial and behavioural correlates in the Nederlands. J Epidemiol Commun Health 49, 22–27.CrossRefGoogle Scholar
Meyer, KA, Kushi, LH, Jacobs, DR Jr, Slavin, J, Sellers, TA, Folsom, AR (2000) Carbohydrates, dietary fiber, and incident type 2 diabetes in older women. Am J Clin Nutr 71, 921–930.CrossRefGoogle ScholarPubMed
Morris, KL & Zemel, MB (1999) Glycemic index, cardiovascular disease, and obesity. Nutr Rev 57, 273–276.CrossRefGoogle ScholarPubMed
Nelson, TL, Pedersen, NL & Miles, TP (1999) Genetic and environmental influences on waist-to-hip ratio in an older Swedish twin population. Int J Obes Relat Metab Disord 23, 449–455.CrossRefGoogle Scholar
Newby, P, Muller, D, Hallfrisch, J, Qiao, N, Andres, R & Tucker, K (2003) Dietary patterns and changes in body mass index and waist circumference in adults. Am J Clin Nutr 77, 1417–1425.CrossRefGoogle ScholarPubMed
Osler, M & Heitmann, BL (1996) The validity of a short food frequency questionnaire and its ability to measure changes in food intake: a longitudinal study. Int J Epidemiol 25, 1023–1029.CrossRefGoogle Scholar
Osler, M, Heitmann, BL, Gerdes, LU, Jorgensen, LM & Schroll, M (2001) Dietary patterns and mortality in Danish men and women: a prospective observational study. Br J Nutr 85, 219–225.CrossRefGoogle ScholarPubMed
Osler, M, Helms, AA, Heitmann, B, Hoidrup, S, Gerdes, U, Morch, JL & Schroll, M (2002) Food intake patterns and risk of coronary heart disease: a prospective cohort study examining the use of traditional scoring techniques. Eur J Clin Nutr 56, 568–574.CrossRefGoogle ScholarPubMed
Rexrode, KM, Buring, JE & Manson, JE (2001) Abdominal and total adiposity and risk of coronary heart disease in men. Int J Obes Relat Metab Disord 25, 1047–1056.CrossRefGoogle ScholarPubMed
Rexrode, KM, Carey, VJ, Hennekens, CH, Walters, EE, Colditz, GA, Stampfer, MJ, Willett, WC & Manson, JE (1998) Abdominal adiposity and coronary heart disease in women. J Assoc Med Assoc 280, 1843–1848.CrossRefGoogle ScholarPubMed
Rosell, MS, Hellenius, ML, 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, 84–90.CrossRefGoogle ScholarPubMed
Sakurai, Y, Umeda, T, Shinchi, K, Honjo, S, Wakabayashi, K, Todoroki, I, Nishikawa, H, Ogawa, S & Katsurada, M (1997) Relation of total and beverage-specific alcohol intake to body mass index and waist-to-hip ratio: a study of self-defense officials in Japan. Eur J Epidemiol 13, 893–898.CrossRefGoogle ScholarPubMed
Singh, RB, Rastogi, V, Rastogi, SS, Niaz, MA & Beegom, R (1996) Effect of diet and moderate exercise on central obesity and associated disturbances, myocardial infarction and mortality in patients with and without coronary artery disease. J Am Coll Nutr 15, 592–601.CrossRefGoogle ScholarPubMed
Slattery, ML, McDonald, A, Bild, DE, Caan, BJ, Hilner, JE, Jacobs, DR & Liu, K (1992) Associations of body fat and its distribution with dietary intake, physical activity, alcohol, and smoking in blacks and whites. Am J Clin Nutr 55, 943–949.CrossRefGoogle ScholarPubMed
Stookey, JD, Adair, L, Stevens, J & Popkin, BM (2001) Patterns of long-term change in body composition are associated with diet, activity, income and urban residence among older adults in China. J Nutr 131, 2433S–2440S.CrossRefGoogle Scholar
Tavani, A, Negri, E, LaVecchia, C (1994) Determinants of body mass index: a study from northern Italy. Int J Obes Relat Metab Disord 18, 497–502.Google ScholarPubMed
Toeller, M, Buyken, AE, Heitkamp, G, Cathelineau, G, Ferriss, B & Michel, G, The EURODIAB IDDM Complications Study Group (2001) Nutrient intakes as predictors of body weight in European people with type 1 diabetes. Int J Obes Relat Metab Disord 25, 1815–1822.CrossRefGoogle ScholarPubMed
Togo, P, Heitmann, BL, Sørensen, TIA & Osler, M (2003) Consistency of food intake factors by different dietary assessment methods and population groups. Br J Nutr 90, 667–678.CrossRefGoogle ScholarPubMed
Togo, P, Osler, M, Sørensen, TIA & Heitmann, BL (2004) A longitudinal study of food intake patterns and obesity in adult Danish men and women. Int J Obes Relat Metab Disord 28, 583–593.CrossRefGoogle ScholarPubMed
Trichopoulou, A, Gnardellis, C, Lagiou, A, Benetou, V, Naska, A & Trichopoulos, D (2001) Physical activity and energy intake selectively predict the waist-to-hip ratio in men but not in women. Am J Clin Nutr 74, 574–578.CrossRefGoogle Scholar
Troisi, RJ, Heinold, JW, Vokonas, PS & Weiss, ST (1991) Cigarette smoking, dietary intake, and physical activity: effects on body fat distribution - the Normative Aging Study. Am J Clin Nutr 53, 1104–1111.CrossRefGoogle ScholarPubMed
Tucker, KL, Dallal, GE & Rush, D (1992) Dietary patterns of elderly Boston-area residents defined by cluster analysis. J Am Diet Assoc 92, 1487–1491.CrossRefGoogle ScholarPubMed
Vadstrup, ES, Petersen, L, Sørensen, TIA & Gronbaek, M (2003) Waist circumference in relation to history of amount and type of alcohol: results from the Copenhagen City Heart Study. Int J Obes Relat Metab Disord 27, 238–246.CrossRefGoogle ScholarPubMed
Van Lenthe, FJ, van Mechelen, W, Kemper, HC & Post, GB (1998) Behavioral variables and development of a central pattern of body fat from adolescence into adulthood in normal-weight whites: the Amsterdam Growth and Health Study. Am J Clin Nutr 67, 846–852.CrossRefGoogle ScholarPubMed
Van Pelt, RE, Evans, EM, Schechtman, KB, Ehsani, AA & Kohrt, WM (2002) Contributions of total and regional fat mass to risk for cardiovascular disease in older women. Am J Physiol Endocrinol Metab 282, E1023–E1028.CrossRefGoogle ScholarPubMed
Walker, SP, Rimm, EB, Ascherio, A, Kawachi, I, Stampfer, MJ & Willett, WC (1996) Body size and fat distribution as predictors of stroke among US men. Am J Epidemiol 144, 1143–1150.CrossRefGoogle ScholarPubMed
Wannamethee, SG & Shaper, AG (2003) Alcohol, body weight, and weight gain in middle-aged men. Am J Clin Nutr 77, 1312–1317.CrossRefGoogle ScholarPubMed
Willett, WC (1998) Nutritional Epidemiology 2nd ed Oxford: Oxford University Press Inc.CrossRefGoogle Scholar
Williams, DE, Prevost, AT, Whichelow, MJ, Cox, BD, Day, NE & Wareham, NJ (2000) A cross-sectional study of dietary patterns with glucose intolerance and other features of the metabolic syndrome. Br J Nutr 83, 257–266.CrossRefGoogle ScholarPubMed
Williamson, DF, Forman, MR, Binkin, NJ, Gentry, EM, Remington, PL & Trowbridge, FL (1987) Alcohol and body weight in United States adults. Am J Public Health 77, 1324–1330.CrossRefGoogle ScholarPubMed
Wirfalt, AK & Jeffery, RW (1997) Using cluster analysis to examine dietary patterns: nutrient intakes, gender, and weight status differ across food pattern clusters. J Am Diet Assoc 97, 272–279.CrossRefGoogle ScholarPubMed
Wirfalt, E, Hedblad, B, Gullberg, B, Mattisson, I, Andren, C, Rosander, U, Janzon, L & Berglund, G (2001) Food patterns and components of the metabolic syndrome in men and women: a cross-sectional study within the Malmo diet and cancer cohort. Am J Epidemiol 154, 1150–1159.CrossRefGoogle Scholar
Yoshioka, M, Doucet, E, Drapeau, V, Dionne, I & Tremblay, A (2001) Combined effects of red pepper and caffeine consumption on 24 h energy balance in subjects given free access to foods. Br J Nutr 85, 203–211.CrossRefGoogle ScholarPubMed