Central obesity is associated with lower intake of whole-grain bread and less frequent breakfast and lunch: Results from the HUNT study, an adult all-population survey

Applied Physiology, Nutrition and Metabolism

Volumn 39, Issue 7, 2014, Pages 819-828

  Mostad, Ingrid Løvold ^a,b   Langaas, Mette ^b   Grill, Valdemar ^b  

^a TRONDHEIM UNIVERSITY HOSPITAL   (Norway)

^b NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Norway)

Author keywords

All population survey; Central obesity; Dietary intake; Hunt; Meal frequency; Nutrition epidemiology; Waist hip ratio; Whole grain bread

Indexed keywords

ADULT; AGED; BREAD; CROSS-SECTIONAL STUDY; DIET; EATING; FEEDING BEHAVIOR; FEMALE; HUMAN; MALE; MEAL; MIDDLE AGED; OBESITY, ABDOMINAL; VERY ELDERLY; WHOLE GRAIN; YOUNG ADULT;

ADULT; AGED; AGED, 80 AND OVER; BREAD; BREAKFAST; CROSS-SECTIONAL STUDIES; DIET SURVEYS; EATING; FEMALE; FOOD HABITS; HUMANS; LUNCH; MALE; MIDDLE AGED; OBESITY, ABDOMINAL; WHOLE GRAINS; YOUNG ADULT;

EID: 84903438080     PISSN: 17155312     EISSN: 17155320     Source Type: Journal    
DOI: 10.1139/apnm-2013-0356     Document Type: Article

References (60)

1. Alinia, S., Hels, O., and Tetens, I. 2009. The potential association between fruit intake and body weight-a review. Obes Rev. 10(6): 639-647. doi:10.1111/j.1467-789X.2009.00582.x. PMID:19413705.
2. Anderson, J.W., Baird, P., Davis, R.H., Jr., Ferreri, S., Knudtson, M., Koraym, A., et al. 2009. Health benefits of dietary fiber. Nutr. Rev. 67(4): 188-205. doi:10. 1111/j.1753-4887.2009.00189.x. PMID:19335713.
3. Bautista-Castano, I., and Serra-Majem, L. 2012. Relationship between bread consumption, body weight, and abdominal fat distribution: evidence from epi-demiological studies. Nutr. Rev. 70(4): 218-233. doi:10.1111/j.1753-4887.2012. 00454.x. PMID:22458695.
4. Berg, C., Lappas, G., Wolk, A., Strandhagen, E., Toren, K., Rosengren, A., et al. 2009. Eating patterns and portion size associated with obesity in a Swedish population. Appetite, 52(1): 21-26. doi:10.1016/j.appet.2008.07.008. PMID: 18694791.
5. Berteus Forslund, H., Lindroos, A.K., Sjostrom, L., and Lissner, L. 2002. Meal patterns and obesity in Swedish women-a simple instrument describing usual meal types, frequency and temporal distribution. Eur. J. Clin. Nutr. 56(8): 740-747. doi:10.1038/sj.ejcn.1601387. PMID:12122550.
6. Bigaard, J., Frederiksen, K., Tjonneland, A., Thomsen, B.L., Overvad, K., Heitmann, B.L., and Sorensen, T.I. 2005. Waist circumference and body composition in relation to all-cause mortality in middle-aged men and women. Int. J. Obes. (Lond.), 29(7): 778-784. doi:10.1038/sj.ijo.0802976. PMID:15917857.
7. Brown, R.J., de Banate, M.A., and Rother, K.I. 2010. Artificial sweeteners: a systematic review of metabolic effects in youth. Int. J. Pediatr. Obes. 5(4): 305-312. doi:10.3109/17477160903497027. PMID:20078374.
8. Cunha, D.B., de Almeida, R.M., Sichieri, R., and Pereira, R.A. 2010. Association of dietary patterns with BMI and waist circumference in a low-income neighbourhood in Brazil. Br. J. Nutr. 104(6): 908-913. doi:10.1017/S000711 4510001479. PMID:20420750.
9. Decaria, J.E., Sharp, C., and Petrella, R.J. 2012. Scoping review report: obesity in older adults. Int. J. Obes (Lond.), 36(9): 1141-1150. doi:10.1038/ijo.2012.29. PMID:22410960.
10. Droyvold, W.B., Nilsen, T.I., Kruger, O., Holmen, T.L., Krokstad, S., Midthjell, K., and Holmen, J. 2006. Change in height, weight and body mass index: Longitudinal data from the HUNT Study in Norway. Int. J. Obes. (Lond.), 30(6): 935-939. doi:10.1038/sj.ijo.0803178. PMID:16418765.
11. Du, H., van der, A.D., Boshuizen, H.C., Forouhi, N.G., Wareham, N.J., Halkjaer, J., et al. 2010. Dietary fiber and subsequent changes in body weight and waist circumference in European men and women. Am. J. Clin. Nutr. 91(2): 329-336. doi:10.3945/ajcn.2009.28191. PMID:20016015.
12. Fødevareinstituttet, D. 2008. Definition og vidensgrundlag for anbefaling af fuldkornsindtag i Danmark (Definition and scientific background for recommendations of wholegrain intake in Denmark). Fødevareinstituttet, Dan-marks Tekniske Universitet (in Danish). Available from www.food.dtu.dk. [Accessed 19 July 2013.]
13. Halkjaer, J., Tjonneland, A., Thomsen, B.L., Overvad, K., and Sorensen, T.I. 2006. Intakeof macronutrientsas predictorsof5-y changesin waist circumference. Am. J. Clin. Nutr. 84(4): 789-797. PMID:17023705.
14. Halkjaer, J., Tjonneland, A., Overvad, K., and Sorensen, T.I. 2009. Dietary predic-tors of 5-year changes in waist circumference. J. Am. Diet. Assoc. 109(8): 1356-1366. doi:10.1016/j.jada.2009.05.015. PMID:19631041.
15. Harland, J.I., and Garton, L.E. 2008. Whole-grain intake as a marker of healthy body weight and adiposity. Public Health Nutr. 11(6): 554-563. doi:10.1017/ S1368980007001279. PMID:18005489.
16. Hill, R.J., and Davies, P.S. 2001. The validity of self-reported energy intake as determined using the doubly labelled water technique. Br. J. Nutr. 85(4): 415-430. doi:10.1079/BJN2000281. PMID:11348556.
17. Høstmark, A.T. 2010. The Oslo Health Study: a Dietary Index estimating high intake of soft drinks and low intake of fruits and vegetables was positively associated with components of the metabolic syndrome. Appl. Physiol. Nutr. Metab. 35(6): 816-825. doi:10.1139/H10-080. PMID:21164553.
18. Hsiao, P.Y., Jensen, G.L., Hartman, T.J., Mitchell, D.C., Nickols-Richardson, S.M., and Coffman, D.L. 2011. Food intake patterns and body mass index in older adults: a review of the epidemiological evidence. J. Nutr. Gerontol. Geriatr. 30(3): 204-224. doi:10.1080/21551197.2011.591266. PMID:21846239.
19. Hu, F.B., Rimm, E., Smith-Warner, S.A., Feskanich, D., Stampfer, M.J., Ascherio, A., et al. 1999. Reproducibility and validity of dietary patterns assessed with a food-frequency questionnaire. Am. J. Clin. Nutr. 69(2): 243-249. PMID:9989687.
20. Jacobsen, B.K., and Thelle, D.S. 1987. The Tromso Heart Study: the relationship between food habits and the body mass index. J. Chronic Dis. 40(8): 795-800. doi:10.1016/0021-9681(87)90131-7. PMID:3496347.
21. Kahn, H.S., Tatham, L.M., and Heath, C.W., Jr. 1997. Contrasting factors associated with abdominal and peripheral weight gain among adult women. Int. J. Obes. Relat. Metab. Disord. 21(10): 903-911. doi:10.1038/sj.ijo.0800490. PMID: 9347409.
22. Kjollesdal, M.R., Holmboe-Ottesen, G., Mosdol, A., and Wandel, M. 2010. The relative importance of socioeconomic indicators in explaining differences in BMI and waist:hip ratio, and the mediating effect of work control, dietary patterns and physical activity. Br. J. Nutr. 104(8): 1230-1240. doi:10.1017/ S0007114510001868. PMID:20487579.
23. Koh-Banerjee, P., and Rimm, E.B. 2003. Whole grain consumption and weight gain: a review of the epidemiological evidence, potential mechanisms and opportunities for future research. Proc. Nutr. Soc. 62(1): 25-29. doi:10.1079/ PNS2002232. PMID:12740053.
24. Koh-Banerjee, P., Chu, N.F., Spiegelman, D., Rosner, B., Colditz, G., Willett, W., and 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(4): 719-727. PMID:14522729.
25. Koh-Banerjee, P., Franz, M., Sampson, L., Liu, S., Jacobs, D.R., Jr., Spiegelman, D., et al. 2004. Changes in whole-grain, bran, and cereal fiber consumption in relation to 8-y weight gain among men. Am. J. Clin. Nutr. 80(5): 1237-1245. PMID:15531671.
26. Krachler, B., Eliasson, M., Stenlund, H., Johansson, I., Hallmans, G., and Lindahl, B. 2006. Reported food intake and distribution of body fat: a repeated cross-sectional study. Nutr. J. 5: 34. doi:10.1186/1475-2891-5-34. PMID: 17187681.
27. Krokstad, S., Langhammer, A., Hveem, K., Holmen, T., Midthjell, K., Stene, T., et al. 2013. Cohort Profile: The HUNT Study, Norway. 42(4): 968-977. Int. J. Epidemiol. doi:10.1093/ije/dys095. PMID:22879362.
28. Laitinen, J., Pietilainen, K., Wadsworth, M., Sovio, U., and Jarvelin, M.R. 2004. Predictors of abdominal obesity among 31-y-old men and women born in Northern Finland in 1966. Eur. J. Clin. Nutr. 58(1): 180-190. doi:10.1038/sj.ejcn. 1601765. PMID:14679384.
29. Langhammer, A., Krokstad, S., Romundstad, P., Heggland, J., and Holmen, J. 2012. The HUNT study: participation is associated with survival and depends on socioeconomic status, diseases and symptoms. BMC Med. Res. Methodol. 12(1): 143. doi:10.1186/1471-2288-12-143. PMID:22978749.
30. Lee, C.M., Huxley, R.R., Wildman, R.P., and Woodward, M. 2008. Indices of abdominal obesity are better discriminators of cardiovascular risk factors than BMI: a meta-analysis. J. Clin. Epidemiol. 61(7): 646-653. doi:10.1016/j.jclinepi. 2007.08.012. PMID:18359190.
31. Lin, B.H., and Morrison, R.M. 2002. Higher fruit consumption linked with lower body mass index. Food Rev. 25(3): 28-32.
32. Lissner, L. 2002. Measuring food intake in studies of obesity. Public Health Nutr. 5(6A): 889-892. doi:10.1079/PHN2002388. PMID:12638596.
33. Lissner, L., Heitmann, B.L., and Bengtsson, C. 2000. Population studies of diet and obesity. Br. J. Nutr. 83(Suppl. 1): S21-S24. doi:10.1017/S000711450000091X. PMID:10889788.
34. Lissner, L., Troiano, R.P., Midthune, D., Heitmann, B.L., Kipnis, V., Subar, A.F., and Potischman, N. 2007. OPEN about obesity: recovery biomarkers, dietary reporting errors and BMI. Int. J. Obes. (Lond.), 31(6): 956-961. doi:10.1038/sj. ijo.0803527. PMID:17299385.
35. Liu, S., Willett, W.C., Manson, J.E., Hu, F.B., Rosner, B., and Colditz, G. 2003. Relation between changes in intakes of dietary fiber and grain products and changes in weight and development of obesity among middle-aged women. Am. J. Clin. Nutr. 78(5): 920-927. PMID:14594777.
36. Mattilsynet. 2012. Den store matvaretabellen (The Norwegian Food Composition Table). The Norwegian Food Safety Authority (in Norwegian). Available from http://www.matportalen.no. [Accessed 19 July 2013.]
37. McKeown, N.M., Troy, L.M., Jacques, P.F., Hoffmann, U., O'Donnell, C.J., and Fox, C.S. 2010. Whole- and refined-grain intakes are differentially associated with abdominal visceral and subcutaneous adiposity in healthy adults: the Framingham Heart Study. Am. J. Clin. Nutr. 92(5): 1165-1171. doi:10.3945/ajcn. 2009.29106. PMID:20881074.
38. Midthjell, K., Lee, C.M., Langhammer, A., Krokstad, S., Holmen, T.L., Hveem, K., et al. 2013. Trends in overweight and obesity over 22 years in a large adult population: the HUNT Study, Norway. Clin. Obes. 3(1-2): 12-20. doi:10.1111/ cob.12009. PMID:23935708.
39. Moreira, P., and Padrao, P. 2006. Educational, economic and dietary determinants of obesity in Portuguese adults: a cross-sectional study. Eat. Behav. 7(3): 220-228. doi:10.1016/j.eatbeh.2005.08.008. PMID:16843224.
40. Mosdol, A. 2004. Dietary assessment - the weakest link?: a dissertation exploring the limitations to questionnaire based methods of dietary assessment. Ph.D. thesis, Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Oslo, Norway.
41. Nasjonalt råd for ernæring. 2011. Kostråd for å fremme folkehelsen og forebygge kroniske sykdommer. Metodologi og vitenskapelig kunnskapsgrunnlag. Norwegian Food-Based Dietary Guidelines. Methodology and scientific basis. The Norwegian Council of Nutrition (in Norwegian). Available from http:// www.helsedirektoratet.no. [Accessed 19 July 2013.]
42. Newby, P.K., Muller, D., Hallfrisch, J., Qiao, N., Andres, R., and Tucker, K.L. 2003. Dietary patterns and changes in body mass index and waist circumference in adults. Am. J. Clin. Nutr. 77(6): 1417-1425. PMID:12791618.
43. O'Neil, C.E., Fulgoni, V.L., III, and Nicklas, T.A. 2011. Candy consumption was not associated with body weight measures, risk factors for cardiovascular disease, or metabolic syndrome in US adults: NHANES 1999-2004. Nutr. Res. 31(2): 122-130. doi:10.1016/j.nutres.2011.01.007. PMID:21419316.
44. Price, G.M., Uauy, R., Breeze, E., Bulpitt, C.J., and Fletcher, A.E. 2006. Weight, shape, and mortality risk in older persons: elevated waist-hip ratio, not high body mass index, is associated with a greater risk of death. Am. J. Clin. Nutr. 84(2): 449-460. PMID:16895897.
45. R_Development_Core_Team. 2010. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing.
46. Romaguera, D., Angquist, L., Du, H., Jakobsen, M.U., Forouhi, N.G., Halkjaer, J., et al. 2011. Food composition of the diet in relation to changes in waist circumference adjusted for body mass index. PLoS One, 6(8): e23384. doi:10. 1371/journal.pone.0023384. PMID:21858094.
47. Rossi, M., Negri, E., Bosetti, C., Dal Maso, L., Talamini, R., Giacosa, A., et al. 2008. Mediterranean diet in relation to body mass index and waist-to-hip ratio. Public Health Nutr. 11(2): 214-217. doi:10.1017/S1368980007000833. PMID: 17686205.
48. Shi, Z., Hu, X., Yuan, B., Hu, G., Pan, X., Dai, Y., et al. 2008. Vegetable-rich food pattern is related to obesity in China. Int J. Obes. (Lond.), 32(6): 975-984. doi:10.1038/ijo.2008.21. PMID:18317472.
49. Slavin, J.L. 2008. Position of the American Dietetic Association: health implications of dietary fiber. J. Am. Diet. Assoc. 108(10): 1716-1731. doi:10.1016/j.jada. 2008.08.007. PMID:18953766.
50. Srikanthan, P., Seeman, T.E., and Karlamangla, A.S. 2009. Waist-hip-ratio as a predictor of all-cause mortality in high-functioning older adults. Ann. Epidemiol. 19(10): 724-731. doi:10.1016/j.annepidem.2009.05.003. PMID:19596204.
51. Thane, C.W., Stephen, A.M., and Jebb, S.A. 2009. Whole grains and adiposity: little association among British adults. Eur. J. Clin. Nutr. 63(2): 229-237. doi:10.1038/sj.ejcn.1602911. PMID:17882134.
52. Togo, P., Osler, M., Sorensen, T.I., and Heitmann, B.L. 2001. Food intake patterns and body mass index in observational studies. Int. J. Obes. Relat. Metab. Disord. 25(12): 1741-1751. doi:10.1038/sj.ijo.0801819. PMID:11781753.
53. Trabulsi, J., and Schoeller, D.A. 2001. Evaluation of dietary assessment instruments against doubly labeled water, a biomarker of habitual energy intake. Am. J. Physiol. Endocrinol. Metab. 281(5): E891-E899. PMID:11595643.
54. van Dijk, S.B., Takken, T., Prinsen, E.C., and Wittink, H. 2012. Different anthro-pometric adiposity measures and their association with cardiovascular disease risk factors: a meta-analysis. Neth. Heart J. 20(5): 208-218. doi:10.1007/ s12471-011-0237-7. PMID:22231153.
55. Walker, S.P., Rimm, E.B., Ascherio, A., Kawachi, I., Stampfer, M.J., and Willett, W.C. 1996. Body size and fat distribution as predictors of stroke among US men. Am. J. Epidemiol. 144(12): 1143-1150. doi:10.1093/oxfordj ournals.aje.a008892. PMID:8956626.
56. Wei, M., Gaskill, S.P., Haffner, S.M., and Stern, M.P. 1997. Waist circumference as the best predictor of noninsulin dependent diabetes mellitus (NIDDM) compared to body mass index, waist/hip ratio and other anthropometric measurements in Mexican Americans-a 7-year prospective study. Obes. Res. 5(1): 16-23. doi:10.1002/j.1550-8528.1997.tb00278.x. PMID:9061711.
57. Willett, W.C., Reynolds, R.D., Cottrell-Hoehner, S., Sampson, L., and Browne, M.L. 1987. Validation of a semi-quantitative food frequency questionnaire: comparison with a 1-year diet record. J. Am. Diet. Assoc. 87(1): 43-47. PMID:3794132.
58. Wolongevicz, D.M., Zhu, L., Pencina, M.J., Kimokoti, R.W., Newby, P.K., D'Agostino, R.B., and Millen, B.E. 2010. An obesity dietary quality index predicts abdominal obesityin women: potential opportunity for new prevention and treatment paradigms. J. Obes. 2010: Article ID 945987, 9 pages. doi:10.1155/2010/945987. PMID:20798863.
59. Yang, Q. 2010. Gain weight by "going diet?" Artificial sweeteners and the neuro-biology of sugar cravings: Neuroscience 2010. Yale J. Biol. Med. 83(2): 101-108. PMID:20589192.
60. Zhang, C., Rexrode, K.M., van Dam, R.M., Li, T.Y., and Hu, F.B. 2008. Abdominal obesity and the risk of all-cause, cardiovascular, and cancer mortality: sixteen years of follow-up in US women. Circulation, 117(13): 1658-1667. doi:10. 1161/CIRCULATIONAHA.107.739714. PMID:18362231.