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Published in: Nutrition Journal 1/2018

Open Access 01-12-2018 | Research

Dietary patterns and physical activity in the metabolically (un)healthy obese: the Dutch Lifelines cohort study

Authors: Sandra N. Slagter, Eva Corpeleijn, Melanie M. van der Klauw, Anna Sijtsma, Linda G. Swart-Busscher, Corine W. M. Perenboom, Jeanne H. M. de Vries, Edith J. M. Feskens, Bruce H. R. Wolffenbuttel, Daan Kromhout, Jana V. van Vliet-Ostaptchouk

Published in: Nutrition Journal | Issue 1/2018

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Abstract

Background

Diversity in the reported prevalence of metabolically healthy obesity (MHO), suggests that modifiable factors may be at play. We evaluated differences in dietary patterns and physical activity between MHO and metabolically unhealthy obesity (MUO).

Methods

Cross-sectional data of 9270 obese individuals (30–69 years) of the Lifelines Cohort Study was used. MHO was defined as obesity and no metabolic syndrome risk factors and no cardiovascular disease history. MUO was defined as obesity and ≥2 metabolic syndrome risk factors. Sex-specific associations of dietary patterns (identified by principal component analysis) and physical activity with MHO were assessed by multivariable logistic regression (reference group: MUO). Analyses were adjusted for multiple covariates.

Results

Among 3442 men and 5828 women, 10.2% and 24.4% had MHO and 56.9% and 35.3% MUO, respectively. We generated four obesity-specific dietary patterns. Two were related to MHO, and in women only. In the highest quartile (Q) of ‘bread, potatoes and sweet snacks’ pattern, odds ratio (OR) (95% CI) for MHO was 0.52 (0.39–0.70). For the healthier pattern ‘fruit, vegetables and fish’, an OR of 1.36 (1.09–1.71) in Q3 and 1.55 (1.21–1.97) in Q4 was found for MHO. For physical activity, there was a positive association between moderate physical activity and vigorous physical activity in the highest tertile and MHO in women and men, respectively (OR 1.19 (1.01–1.41) and OR 2.02 (1.50–2.71)).

Conclusion

The healthier diet -characterized by ‘fruit, vegetables and fish’- and moderate physical activity in women, and vigorous physical activity in men may be related to MHO. The (refined) carbohydrate-rich ‘bread, potatoes and sweet snacks’ dietary pattern was found to counteract MHO in women.
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Literature
1.
go back to reference Mokdad AH, Ford ES, Bowman BA, Dietz WH, Vinicor F, Bales VS, Marks JS. Prevalence of obesity, diabetes, and obesity-related health risk factors, 2001. JAMA. 2003;289(1):76–9.CrossRefPubMed Mokdad AH, Ford ES, Bowman BA, Dietz WH, Vinicor F, Bales VS, Marks JS. Prevalence of obesity, diabetes, and obesity-related health risk factors, 2001. JAMA. 2003;289(1):76–9.CrossRefPubMed
4.
go back to reference Bell JA, Kivimaki M, Hamer M. Metabolically healthy obesity and risk of incident type 2 diabetes: a meta-analysis of prospective cohort studies. Obesity reviews : an official journal of the International Association for the Study of Obesity. 2014;15(6):504–15. https://doi.org/10.1111/obr.12157.CrossRef Bell JA, Kivimaki M, Hamer M. Metabolically healthy obesity and risk of incident type 2 diabetes: a meta-analysis of prospective cohort studies. Obesity reviews : an official journal of the International Association for the Study of Obesity. 2014;15(6):504–15. https://​doi.​org/​10.​1111/​obr.​12157.CrossRef
5.
go back to reference Lassale C, Tzoulaki I, Moons KGM, Sweeting M, Boer J, Johnson L, Huerta JM, Agnoli C, Freisling H, Weiderpass E, Wennberg P, der AD v, Arriola L, Benetou V, Boeing H, Bonnet F, Colorado-Yohar SM, Engstrom G, Eriksen AK, Ferrari P, Grioni S, Johansson M, Kaaks R, Katsoulis M, Katzke V, Key TJ, Matullo G, Melander O, Molina-Portillo E, Moreno-Iribas C, Norberg M, Overvad K, Panico S, Quiros JR, Saieva C, Skeie G, Steffen A, Stepien M, Tjonneland A, Trichopoulou A, Tumino R, van der Schouw YT, WMM V, Langenberg C, Di Angelantonio E, Riboli E, Wareham NJ, Danesh J, Butterworth AS. Separate and combined associations of obesity and metabolic health with coronary heart disease: a pan-European case-cohort analysis. Eur Heart J. 2017; https://doi.org/10.1093/eurheartj/ehx448. Lassale C, Tzoulaki I, Moons KGM, Sweeting M, Boer J, Johnson L, Huerta JM, Agnoli C, Freisling H, Weiderpass E, Wennberg P, der AD v, Arriola L, Benetou V, Boeing H, Bonnet F, Colorado-Yohar SM, Engstrom G, Eriksen AK, Ferrari P, Grioni S, Johansson M, Kaaks R, Katsoulis M, Katzke V, Key TJ, Matullo G, Melander O, Molina-Portillo E, Moreno-Iribas C, Norberg M, Overvad K, Panico S, Quiros JR, Saieva C, Skeie G, Steffen A, Stepien M, Tjonneland A, Trichopoulou A, Tumino R, van der Schouw YT, WMM V, Langenberg C, Di Angelantonio E, Riboli E, Wareham NJ, Danesh J, Butterworth AS. Separate and combined associations of obesity and metabolic health with coronary heart disease: a pan-European case-cohort analysis. Eur Heart J. 2017; https://​doi.​org/​10.​1093/​eurheartj/​ehx448.
10.
go back to reference Hamer M, Bell JA, Sabia S, Batty GD, Kivimaki M. Stability of metabolically healthy obesity over 8 years: the English longitudinal study of ageing. European journal of endocrinology / European Federation of Endocrine Societies. 2015;173(5):703–8. https://doi.org/10.1530/eje-15-0449.CrossRef Hamer M, Bell JA, Sabia S, Batty GD, Kivimaki M. Stability of metabolically healthy obesity over 8 years: the English longitudinal study of ageing. European journal of endocrinology / European Federation of Endocrine Societies. 2015;173(5):703–8. https://​doi.​org/​10.​1530/​eje-15-0449.CrossRef
11.
go back to reference van Vliet-Ostaptchouk JV, Nuotio ML, Slagter SN, Doiron D, Fischer K, Foco L, Gaye A, Gogele M, Heier M, Hiekkalinna T, Joensuu A, Newby C, Pang C, Partinen E, Reischl E, Schwienbacher C, Tammesoo ML, Swertz MA, Burton P, Ferretti V, Fortier I, Giepmans L, Harris JR, Hillege HL, Holmen J, Jula A, Kootstra-Ros JE, Kvaloy K, Holmen TL, Mannisto S, Metspalu A, Midthjell K, Murtagh MJ, Peters A, Pramstaller PP, Saaristo T, Salomaa V, Stolk RP, Uusitupa M, van der Harst P, van der Klauw MM, Waldenberger M, Perola M, Wolffenbuttel BH. The prevalence of metabolic syndrome and metabolically healthy obesity in Europe: a collaborative analysis of ten large cohort studies. BMC Endocr Disord. 2014;14:9. https://doi.org/10.1186/1472-6823-14-9.CrossRefPubMedPubMedCentral van Vliet-Ostaptchouk JV, Nuotio ML, Slagter SN, Doiron D, Fischer K, Foco L, Gaye A, Gogele M, Heier M, Hiekkalinna T, Joensuu A, Newby C, Pang C, Partinen E, Reischl E, Schwienbacher C, Tammesoo ML, Swertz MA, Burton P, Ferretti V, Fortier I, Giepmans L, Harris JR, Hillege HL, Holmen J, Jula A, Kootstra-Ros JE, Kvaloy K, Holmen TL, Mannisto S, Metspalu A, Midthjell K, Murtagh MJ, Peters A, Pramstaller PP, Saaristo T, Salomaa V, Stolk RP, Uusitupa M, van der Harst P, van der Klauw MM, Waldenberger M, Perola M, Wolffenbuttel BH. The prevalence of metabolic syndrome and metabolically healthy obesity in Europe: a collaborative analysis of ten large cohort studies. BMC Endocr Disord. 2014;14:9. https://​doi.​org/​10.​1186/​1472-6823-14-9.CrossRefPubMedPubMedCentral
12.
16.
go back to reference FB H. Dietary pattern analysis: a new direction in nutritional epidemiology. Curr Opin Lipidol. 2002;13(1):3–9.CrossRef FB H. Dietary pattern analysis: a new direction in nutritional epidemiology. Curr Opin Lipidol. 2002;13(1):3–9.CrossRef
22.
go back to reference Executive Summary of The Third Report of The National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, And Treatment of High Blood Cholesterol In Adults (Adult Treatment Panel III) (2001). Jama 285 (19):2486–2497. Executive Summary of The Third Report of The National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, And Treatment of High Blood Cholesterol In Adults (Adult Treatment Panel III) (2001). Jama 285 (19):2486–2497.
23.
go back to reference Organization WH. Definition and diagnosis of diabetes mellitus and intermediate hyperglycaemia. Geneva, World Health Org: Report of a WHO/IDF consulation; 2006. Organization WH. Definition and diagnosis of diabetes mellitus and intermediate hyperglycaemia. Geneva, World Health Org: Report of a WHO/IDF consulation; 2006.
26.
go back to reference Bureau stichting NEVO, NEVO-tabel 2006 (2006). Den Haag: Voedingscentrum, Bureau stichting NEVO, NEVO-tabel 2006 (2006). Den Haag: Voedingscentrum,
27.
go back to reference Newby PK, Tucker KL. Empirically derived eating patterns using factor or cluster analysis: a review. Nutr Rev. 2004;62(5):177–203.CrossRefPubMed Newby PK, Tucker KL. Empirically derived eating patterns using factor or cluster analysis: a review. Nutr Rev. 2004;62(5):177–203.CrossRefPubMed
29.
go back to reference Wendel-Vos GC, Schuit AJ, Saris WH, Kromhout D. Reproducibility and relative validity of the short questionnaire to assess health-enhancing physical activity. J Clin Epidemiol. 2003;56(12):1163–9.CrossRefPubMed Wendel-Vos GC, Schuit AJ, Saris WH, Kromhout D. Reproducibility and relative validity of the short questionnaire to assess health-enhancing physical activity. J Clin Epidemiol. 2003;56(12):1163–9.CrossRefPubMed
33.
go back to reference Esmaillzadeh A, Kimiagar M, Mehrabi Y, Azadbakht L, FB H, Willett WC. Fruit and vegetable intakes, C-reactive protein, and the metabolic syndrome. Am J Clin Nutr. 2006;84(6):1489–97.PubMed Esmaillzadeh A, Kimiagar M, Mehrabi Y, Azadbakht L, FB H, Willett WC. Fruit and vegetable intakes, C-reactive protein, and the metabolic syndrome. Am J Clin Nutr. 2006;84(6):1489–97.PubMed
35.
go back to reference Muraki I, Imamura F, Manson JE, Hu FB, Willett WC, van Dam RM, Sun Q. Fruit consumption and risk of type 2 diabetes: results from three prospective longitudinal cohort studies. BMJ (Clinical research ed). 2013;347:f5001. https://doi.org/10.1136/bmj.f5001. Muraki I, Imamura F, Manson JE, Hu FB, Willett WC, van Dam RM, Sun Q. Fruit consumption and risk of type 2 diabetes: results from three prospective longitudinal cohort studies. BMJ (Clinical research ed). 2013;347:f5001. https://​doi.​org/​10.​1136/​bmj.​f5001.
39.
go back to reference Jenkins DJ, Kendall CW, McKeown-Eyssen G, Josse RG, Silverberg J, Booth GL, Vidgen E, Josse AR, Nguyen TH, Corrigan S, Banach MS, Ares S, Mitchell S, Emam A, Augustin LS, Parker TL, Leiter LA. Effect of a low-glycemic index or a high-cereal fiber diet on type 2 diabetes: a randomized trial. JAMA. 2008;300(23):2742–53. https://doi.org/10.1001/jama.2008.808.CrossRefPubMed Jenkins DJ, Kendall CW, McKeown-Eyssen G, Josse RG, Silverberg J, Booth GL, Vidgen E, Josse AR, Nguyen TH, Corrigan S, Banach MS, Ares S, Mitchell S, Emam A, Augustin LS, Parker TL, Leiter LA. Effect of a low-glycemic index or a high-cereal fiber diet on type 2 diabetes: a randomized trial. JAMA. 2008;300(23):2742–53. https://​doi.​org/​10.​1001/​jama.​2008.​808.CrossRefPubMed
40.
go back to reference Maki KC, Rains TM, Kaden VN, Raneri KR, Davidson MH. Effects of a reduced-glycemic-load diet on body weight, body composition, and cardiovascular disease risk markers in overweight and obese adults. Am J Clin Nutr. 2007;85(3):724–34.PubMed Maki KC, Rains TM, Kaden VN, Raneri KR, Davidson MH. Effects of a reduced-glycemic-load diet on body weight, body composition, and cardiovascular disease risk markers in overweight and obese adults. Am J Clin Nutr. 2007;85(3):724–34.PubMed
45.
go back to reference van Dam RM, Grievink L, Ocke MC, Feskens EJ. Patterns of food consumption and risk factors for cardiovascular disease in the general Dutch population. Am J Clin Nutr. 2003;77(5):1156–63.CrossRefPubMed van Dam RM, Grievink L, Ocke MC, Feskens EJ. Patterns of food consumption and risk factors for cardiovascular disease in the general Dutch population. Am J Clin Nutr. 2003;77(5):1156–63.CrossRefPubMed
50.
go back to reference Gutierrez-Repiso C, Soriguer F, Rojo-Martinez G, Garcia-Fuentes E, Valdes S, Goday A, Calle-Pascual A, Lopez-Alba A, Castell C, Menendez E, Bordiu E, Delgado E, Ortega E, Pascual-Manich G, Urrutia I, Mora-Peces I, Vendrell J, Vazquez JA, Franch J, Girbes J, Castano L, Serrano-Rios M, Martinez-Larrad MT, Catala M, Carmena R, Gomis R, Casamitjana R, Gaztambide S. Variable patterns of obesity and cardiometabolic phenotypes and their association with lifestyle factors in the Di@bet.es study. Nutrition, metabolism, and cardiovascular diseases : NMCD. 2014;24(9):947–55. https://doi.org/10.1016/j.numecd.2014.04.019.CrossRefPubMed Gutierrez-Repiso C, Soriguer F, Rojo-Martinez G, Garcia-Fuentes E, Valdes S, Goday A, Calle-Pascual A, Lopez-Alba A, Castell C, Menendez E, Bordiu E, Delgado E, Ortega E, Pascual-Manich G, Urrutia I, Mora-Peces I, Vendrell J, Vazquez JA, Franch J, Girbes J, Castano L, Serrano-Rios M, Martinez-Larrad MT, Catala M, Carmena R, Gomis R, Casamitjana R, Gaztambide S. Variable patterns of obesity and cardiometabolic phenotypes and their association with lifestyle factors in the Di@bet.es study. Nutrition, metabolism, and cardiovascular diseases : NMCD. 2014;24(9):947–55. https://​doi.​org/​10.​1016/​j.​numecd.​2014.​04.​019.CrossRefPubMed
53.
go back to reference Trijsburg L, Geelen A, Hollman PC, Hulshof PJ, Feskens EJ, Van't Veer P, Boshuizen HC, de Vries JH. BMI was found to be a consistent determinant related to misreporting of energy, protein and potassium intake using self-report and duplicate portion methods. Public Health Nutr. 2016:1–10. https://doi.org/10.1017/s1368980016002743. Trijsburg L, Geelen A, Hollman PC, Hulshof PJ, Feskens EJ, Van't Veer P, Boshuizen HC, de Vries JH. BMI was found to be a consistent determinant related to misreporting of energy, protein and potassium intake using self-report and duplicate portion methods. Public Health Nutr. 2016:1–10. https://​doi.​org/​10.​1017/​s136898001600274​3.
54.
go back to reference FB H, Rimm E, Smith-Warner SA, Feskanich D, Stampfer MJ, Ascherio A, Sampson L, Willett WC. Reproducibility and validity of dietary patterns assessed with a food-frequency questionnaire. Am J Clin Nutr. 1999;69(2):243–9. FB H, Rimm E, Smith-Warner SA, Feskanich D, Stampfer MJ, Ascherio A, Sampson L, Willett WC. Reproducibility and validity of dietary patterns assessed with a food-frequency questionnaire. Am J Clin Nutr. 1999;69(2):243–9.
55.
go back to reference Khani BR, Ye W, Terry P, Wolk A. Reproducibility and validity of major dietary patterns among Swedish women assessed with a food-frequency questionnaire. J Nutr. 2004;134(6):1541–5.CrossRefPubMed Khani BR, Ye W, Terry P, Wolk A. Reproducibility and validity of major dietary patterns among Swedish women assessed with a food-frequency questionnaire. J Nutr. 2004;134(6):1541–5.CrossRefPubMed
57.
go back to reference Newby PK, Weismayer C, Akesson A, Tucker KL, Wolk A. Long-term stability of food patterns identified by use of factor analysis among Swedish women. J Nutr. 2006;136(3):626–33.CrossRefPubMed Newby PK, Weismayer C, Akesson A, Tucker KL, Wolk A. Long-term stability of food patterns identified by use of factor analysis among Swedish women. J Nutr. 2006;136(3):626–33.CrossRefPubMed
58.
go back to reference Balder HF, Virtanen M, Brants HA, Krogh V, Dixon LB, Tan F, Mannisto S, Bellocco R, Pietinen P, Wolk A, Berrino F, Van den Brandt PA, Hartman AM, Goldbohm RA. Common and country-specific dietary patterns in four European cohort studies. J Nutr. 2003;133(12):4246–51.CrossRefPubMed Balder HF, Virtanen M, Brants HA, Krogh V, Dixon LB, Tan F, Mannisto S, Bellocco R, Pietinen P, Wolk A, Berrino F, Van den Brandt PA, Hartman AM, Goldbohm RA. Common and country-specific dietary patterns in four European cohort studies. J Nutr. 2003;133(12):4246–51.CrossRefPubMed
Metadata
Title
Dietary patterns and physical activity in the metabolically (un)healthy obese: the Dutch Lifelines cohort study
Authors
Sandra N. Slagter
Eva Corpeleijn
Melanie M. van der Klauw
Anna Sijtsma
Linda G. Swart-Busscher
Corine W. M. Perenboom
Jeanne H. M. de Vries
Edith J. M. Feskens
Bruce H. R. Wolffenbuttel
Daan Kromhout
Jana V. van Vliet-Ostaptchouk
Publication date
01-12-2018
Publisher
BioMed Central
Published in
Nutrition Journal / Issue 1/2018
Electronic ISSN: 1475-2891
DOI
https://doi.org/10.1186/s12937-018-0319-0

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