Hostname: page-component-cd9895bd7-gvvz8 Total loading time: 0 Render date: 2024-12-22T15:17:53.825Z Has data issue: false hasContentIssue false

Physical activity, diet and gene–environment interactions in relation to body mass index and waist circumference: The Swedish Young Male Twins Study

Published online by Cambridge University Press:  02 January 2007

Nina Karnehed
Affiliation:
Child and Adolescent Public Health Epidemiology Group, Department of Public Health Sciences, Karolinska Institute, Norrbacka, SE-171 76, Stockholm, Sweden
Per Tynelius
Affiliation:
Division of Epidemiology, Stockholm Centre of Public Health, Norrbacka, SE-171 76, Stockholm, Sweden
Berit L Heitman
Affiliation:
Research Unit for Dietary Studies and Danish Epidemiology Science Centre at the Institute of Preventive Medicine, Copenhagen University Hospital, Øster Søgade 18, 1399, Copenhagen, Denmark
Finn Rasmussen*
Affiliation:
Child and Adolescent Public Health Epidemiology Group, Department of Public Health Sciences, Karolinska Institute, Norrbacka, SE-171 76, Stockholm, Sweden Division of Epidemiology, Stockholm Centre of Public Health, Norrbacka, SE-171 76, Stockholm, Sweden
*
*corresponding author: Email [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Objective

The aim of the present study was to examine the relationships between genetic susceptibility to obesity, physical activity (PA), dietary fibre, sugar and fat intakes and 4-year changes in body mass index (BMI) and attained waist circumference (WC) in a cohort of 287 monozygotic and 189 dizygotic young adult male twin pairs. Increased knowledge about interactions between genes and environment may provide insight into why some individuals are more prone to obesity than others.

Design

Information about PA, BMI, dietary habits, WC and potential confounders was collected by questionnaire in 1998 and 2002. The cohort data were analysed by mixed linear models.

Results

Twins with low PA attained larger WC than twins with high PA (difference 2.5 cm; 95% confidence interval (CI) 1.3, 3.6). The twins with the lowest fibre intake were found to have attained the highest WC and to have increased most in BMI (difference between highest and lowest fibre intakes: 1.6 cm, 95% CI 0.4, 2.9 and 0.45 kg m−2, 95% CI 0.15, 0.76, respectively). Furthermore, our results suggested the presence of interactions so that twins with genetic susceptibility to obesity were more prone to have larger WC if sedentary than twins without genetic susceptibility.

Conclusion

PA and a diet rich in fibre may be protective against weight gain among younger adult men. An interaction between PA, genes and attained WC is a novel finding which needs confirmation by other studies.

Type
Research Article
Copyright
Copyright © The Authors 2006

References

1Heitmann, BL, Stroger, U, Mikkelsen, KL, Holst, C, Sørensen, TIA. Large heterogeneity of the obesity epidemic in Danish adults. Public Health Nutrition 2004; 7: 453–60.CrossRefGoogle ScholarPubMed
2Fogelholm, M, Kukkonen-Harjula, K. Does physical activity prevent weight gain – a systematic review. Obesity Reviews 2000; 1: 95111.CrossRefGoogle ScholarPubMed
3Togo, P, Osler, M, Sørensen, TIA, Heitmann, BL. A longitudinal study of food intake patterns and obesity in adult Danish men and women. International Journal of Obesity and Related Metabolic Disorders 2004; 28: 583–93.CrossRefGoogle ScholarPubMed
4Heitmann, BL, Kaprio, J, Harris, JR, Rissanen, A, Korkeila, M, Koskenvuo, M. Are genetic determinants of weight gain modified by leisure-time physical activity? A prospective study of Finnish twins. American Journal of Clinical Nutrition 1997; 66: 672–8.CrossRefGoogle ScholarPubMed
5Heitmann, BL, Harris, JR, Lissner, L, Pedersen, NL. Genetic effects on weight change and food intake in Swedish adult twins. American Journal of Clinical Nutrition 1999; 69: 597602.CrossRefGoogle ScholarPubMed
6Heitmann, BL, Lissner, L, Sørensen, TIA, Bengtsson, C. Dietary fat intake and weight gain in women genetically predisposed for obesity. American Journal of Clinical Nutrition 1995; 61: 1213–7.CrossRefGoogle ScholarPubMed
7Rasmussen, F, Johansson-Kark, M. The Swedish Young Male Twins Register: a resource for studying risk factors for cardiovascular disease and insulin resistance. Twin Research 2002; 5: 433–5.CrossRefGoogle Scholar
8Cederlöf, R, Friberg, L, Jonsson, EKL. Studies on similarity diagnosis on twins with the aid of mailed questionnaires. Acta Geneticae Medicae et Germellologiae 1961; 11: 338–62.Google ScholarPubMed
9Pedersen, N, Lichtenstein, P. The Swedish Twin Registry–a presentation. In: Smedby, B, Lundberg, I, Sørensen, TIA, eds. Scientific Evaluation of the Swedish Twin Registry. Stockholm: Swedish Council for Planning and Coordination of Research, 2000; 1544.Google Scholar
10Heath, EM, Morken, NW, Campbell, KA, Tkach, D, Boyd, EA, Strom, DA. Use of buccal cells collected in mouthwash as a source of DNA for clinical testing. Archives of Pathology and Laboratory Medicine 2001; 125: 127–33.CrossRefGoogle ScholarPubMed
11Tholin, S, Rasmussen, F, Tynelius, P, Karlsson, J. Genetic and environmental influences on eating behavior: the Swedish Young Male Twins Study. American Journal of Clinical Nutrition 2005; 81: 564–9.CrossRefGoogle ScholarPubMed
12Baecke, JA, Burema, J, Frijters, JE. A short questionnaire for the measurement of habitual physical activity in epidemiological studies. American Journal of Clinical Nutrition 1982; 36: 936–42.CrossRefGoogle Scholar
13Philippaerts, RM, Lefevre, J. Reliability and validity of three physical activity questionnaires in Flemish males. American Journal of Epidemiology 1998; 147: 982–90.CrossRefGoogle ScholarPubMed
14Wing, JK, Babor, T, Brugha, TE, Burke, J, Cooper, JE, Giel, R, et al. SCAN. Schedules for clinical assessment in neuropsychiatry. Archives of General Psychiatry 1990; 47: 589–93.CrossRefGoogle ScholarPubMed
15Guo, G, Wang, J. The mixed or multilevel model for behavior genetic analysis. Behavior Genetics 2002; 32: 3749.CrossRefGoogle ScholarPubMed
16SAS Institute, Inc.. SAS/STAT User's Guide, Version 8. Cary, NC: SAS Institute, Inc., 1999.Google Scholar
17Neale, MC, Maes, HH. Methodology for Genetic Studies of Twins and Families. Dordrecht: Kluwer Academic, 2004.Google Scholar
18Iachina, M, Jorgensen, B, Christensen, K, Iachine, I. Analysis of functional abilities for elderly Danish twins using GEE models. Twin Research 2002; 5: 289–93.CrossRefGoogle ScholarPubMed
19Samaras, K, Kelly, PJ, Chiano, MN, Arden, N, Spector, TD, Campbell, LV. Genes versus environment. The relationship between dietary fat and total and central abdominal fat. Diabetes Care 1998; 21: 2069–76.CrossRefGoogle ScholarPubMed
20Korkeila, M, Kaprio, J, Rissanen, A, Koskenvuo, M. Consistency and change of body mass index and weight. A study on 5967 adult Finnish twin pairs. International Journal of Obesity and Related Metabolic Disorders 1995; 19: 310–7.Google Scholar
21Harris, JR, Tambs, K, Magnus, P. Sex-specific effects for body mass index in the new Norwegian twin panel. Genetic Epidemiology 1995; 12: 251–65.CrossRefGoogle ScholarPubMed
22Evans, DM, Martin, NG. The validity of twin studies. GeneScreen 2000; 1: 77–9.CrossRefGoogle Scholar
23World Health Organization (WHO). Diet, Nutrition and the Prevention of Chronic Diseases. Report of the Joint WHO/Food and Agriculture Organization Expert Consultation. Geneva: WHO, 2003.Google Scholar
24Saris, WH, Blair, SN, Van Baak, MA, Eaton, SB, Davies, PS, Di Pietro, L, et al. How much physical activity is enough to prevent unhealthy weight gain? Outcome of the IASO 1st Stock Conference and consensus statement. Obesity Reviews 2003; 4: 101–14.CrossRefGoogle ScholarPubMed
25Pietinen, P, Vartiainen, E, Mannisto, S. Trends in body mass index and obesity among adults in Finland from 1972 to 1992. International Journal of Obesity and Related Metabolic Disorders 1996; 20: 114–20.Google ScholarPubMed