Adherence to dietary guidelines in relation to visceral fat and liver fat in middle-aged men and women: the NEO study.


Journal

International journal of obesity (2005)
ISSN: 1476-5497
Titre abrégé: Int J Obes (Lond)
Pays: England
ID NLM: 101256108

Informations de publication

Date de publication:
02 2020
Historique:
received: 12 12 2018
accepted: 15 07 2019
revised: 26 06 2019
pubmed: 30 8 2019
medline: 27 2 2021
entrez: 30 8 2019
Statut: ppublish

Résumé

It is unclear to what extent adherence to dietary guidelines may specifically affect visceral fat and liver fat. We aimed to study the association between the Dutch Healthy Diet Index (DHD-index) and total body fat, visceral adipose tissue (VAT) and hepatic triglyceride content (HTGC) in middle-aged men and women. In this cross-sectional study, VAT was assessed by magnetic resonance imaging (MRI) in 2580 participants, and HTGC by proton-MR spectroscopy in 2083 participants. Habitual dietary intake and physical activity were estimated by questionnaire. Adherence to the current Dutch dietary guidelines was estimated by the 2015 DHD-index score based on the thirteen components (vegetables, fruit, wholegrain products, legumes, nuts, dairy, fish, tea, liquid fats, red meat, processed meat, sweetened beverages, and alcohol). The DHD-index ranges between 0 and 130 with a higher score indicating a healthier diet. We used linear regression to examine associations of the DHD-index with VAT and HTGC, adjusted for age, smoking, education, ethnicity, basal metabolic rate, energy restricted diet, menopausal state, physical activity, total energy intake, and total body fat. We additionally excluded the components one by one to examine individual contributions to the associations. Included participants (43% men) had a mean (SD) age of 56 (6) years and DHD-index score of 71 (15). A 10-point higher DHD-index score was associated with 2.3 cm Adherence to the dietary guidelines as estimated by the DHD-index was associated with less total body fat, and with less visceral and liver fat after adjustment for total body fat. These findings might contribute to better understanding of the mechanisms underlying associations between dietary habits and cardiometabolic diseases.

Sections du résumé

BACKGROUND
It is unclear to what extent adherence to dietary guidelines may specifically affect visceral fat and liver fat. We aimed to study the association between the Dutch Healthy Diet Index (DHD-index) and total body fat, visceral adipose tissue (VAT) and hepatic triglyceride content (HTGC) in middle-aged men and women.
DESIGN
In this cross-sectional study, VAT was assessed by magnetic resonance imaging (MRI) in 2580 participants, and HTGC by proton-MR spectroscopy in 2083 participants. Habitual dietary intake and physical activity were estimated by questionnaire. Adherence to the current Dutch dietary guidelines was estimated by the 2015 DHD-index score based on the thirteen components (vegetables, fruit, wholegrain products, legumes, nuts, dairy, fish, tea, liquid fats, red meat, processed meat, sweetened beverages, and alcohol). The DHD-index ranges between 0 and 130 with a higher score indicating a healthier diet. We used linear regression to examine associations of the DHD-index with VAT and HTGC, adjusted for age, smoking, education, ethnicity, basal metabolic rate, energy restricted diet, menopausal state, physical activity, total energy intake, and total body fat. We additionally excluded the components one by one to examine individual contributions to the associations.
RESULTS
Included participants (43% men) had a mean (SD) age of 56 (6) years and DHD-index score of 71 (15). A 10-point higher DHD-index score was associated with 2.3 cm
CONCLUSIONS
Adherence to the dietary guidelines as estimated by the DHD-index was associated with less total body fat, and with less visceral and liver fat after adjustment for total body fat. These findings might contribute to better understanding of the mechanisms underlying associations between dietary habits and cardiometabolic diseases.

Identifiants

pubmed: 31462693
doi: 10.1038/s41366-019-0441-x
pii: 10.1038/s41366-019-0441-x
pmc: PMC6997120
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

297-306

Références

Stevens GA, Singh GM, Lu Y, Danaei G, Lin JK, Finucane MM, et al. National, regional, and global trends in adult overweight and obesity prevalences. Popul Health Metr. 2012;10:22.
doi: 10.1186/1478-7954-10-22
Despres JP, Lemieux I. Abdominal obesity and metabolic syndrome. Nature. 2006;444:881–7.
doi: 10.1038/nature05488
Lim S, Meigs JB. Links between ectopic fat and vascular disease in humans. Arterioscler Thromb Vasc Biol. 2014;114:303035. ATVBAHA
Gast KB, den Heijer M, Smit JWA, Widya RL, Lamb HJ, de Roos A, et al. Individual contributions of visceral fat and total body fat to subclinical atherosclerosis: the NEO study. Atherosclerosis. 2015;241:547–54.
doi: 10.1016/j.atherosclerosis.2015.05.026
Kaess BM, Pedley A, Massaro JM, Murabito J, Hoffmann U, Fox CS. The ratio of visceral to subcutaneous fat, a metric of body fat distribution, is a unique correlate of cardiometabolic risk. Diabetologia. 2012;55:2622–30.
doi: 10.1007/s00125-012-2639-5
Nazare J-A, Smith JD, Borel A-L, Haffner SM, Balkau B, Ross R, et al. Ethnic influences on the relations between abdominal subcutaneous and visceral adiposity, liver fat, and cardiometabolic risk profile: the International Study of Prediction of Intra-Abdominal Adiposity and Its Relationship With Cardiometabolic Risk/Intra-Abdominal Adiposity. Am J Clin Nutr. 2012;96:714–26.
doi: 10.3945/ajcn.112.035758
Mozaffarian D, Hao T, Rimm EB, Willett WC, Hu FB. Changes in diet and lifestyle and long-term weight gain in women and men. N Engl J Med. 2011;364:2392–404.
doi: 10.1056/NEJMoa1014296
Jacobs DR Jr., Tapsell LC. Food, not nutrients, is the fundamental unit in nutrition. Nutr Rev. 2007;65:439–50.
pubmed: 17972438
Hu FB. Dietary pattern analysis: a new direction in nutritional epidemiology. Curr Opin Lipidol. 2002;13:3–9.
doi: 10.1097/00041433-200202000-00002
Mozaffarian D, Ludwig DS. Dietary guidelines in the 21st century—a time for food. J Am Med Assoc. 2010;304:681–2.
doi: 10.1001/jama.2010.1116
Sacks FM, Obarzanek E, Windhauser MM, Svetkey LP, Vollmer WM, McCullough M, et al. Rationale and design of the Dietary Approaches to Stop Hypertension trial (DASH). A multicenter controlled-feeding study of dietary patterns to lower blood pressure. Ann Epidemiol. 1995;5:108–18.
doi: 10.1016/1047-2797(94)00055-X
Guenther PM, Reedy J, Krebs-Smith SM. Development of the Healthy Eating Index-2005. J Am Diet Assoc. 2008;108:1896–901.
doi: 10.1016/j.jada.2008.08.016
Huijbregts P, Feskens E, Räsänen L, Fidanza F, Nissinen A, Menotti A, et al. Dietary pattern and 20 year mortality in elderly men in Finland, Italy, and the Netherlands: longitudinal cohort study. Br Med J. 1997;315:13–7.
doi: 10.1136/bmj.315.7099.13
Patterson RE, Haines PS, Popkin BM. Diet quality index: capturing a multidimensional behavior. J Am Diet Assoc. 1994;94:57–64.
doi: 10.1016/0002-8223(94)92042-7
Wirt A, Collins CE. Diet quality—what is it and does it matter? Public Health Nutr. 2009;12:2473–92.
doi: 10.1017/S136898000900531X
Guo X, Warden B, Paeratakul S, Bray G. Healthy eating index and obesity. Eur J Clin Nutr. 2004;58:1580.
doi: 10.1038/sj.ejcn.1601989
de Mutsert R, den Heijer M, Rabelink TJ, Smit JW, Romijn JA, Jukema JW, et al. The Netherlands Epidemiology of Obesity (NEO) study: study design and data collection. Eur J Epidemiol. 2013;28:513–23.
doi: 10.1007/s10654-013-9801-3
Ritchie JD, Miller CK, Smiciklas-Wright H. Tanita foot-to-foot bioelectrical impedance analysis system validated in older adults. J Am Diet Assoc. 2005;105:1617–9.
doi: 10.1016/j.jada.2005.07.011
Mifflin MD, St Jeor ST, Hill LA, Scott BJ, Daugherty SA, Koh YO. A new predictive equation for resting energy expenditure in healthy individuals. Am J Clin Nutr. 1990;51:241–7.
doi: 10.1093/ajcn/51.2.241
Wendel-Vos GW, Schuit AJ, Saris WH, Kromhout D. Reproducibility and relative validity of the short questionnaire to assess health-enhancing physical activity. J Clin Epidemiol. 2003;56:1163–9.
doi: 10.1016/S0895-4356(03)00220-8
Siebelink E, Geelen A, de Vries JH. Self-reported energy intake by FFQ compared with actual energy intake to maintain body weight in 516 adults. Br J Nutr. 2011;106:274–81.
doi: 10.1017/S0007114511000067
Verkleij-Hagoort AC, de Vries JH, Stegers MP, Lindemans J, Ursem NT, Steegers-Theunissen RP. Validation of the assessment of folate and vitamin B12 intake in women of reproductive age: the method of triads. Eur J Clin Nutr. 2007;61:610–5.
doi: 10.1038/sj.ejcn.1602581
Looman M, Feskens EJ, de Rijk M, Meijboom S, Biesbroek S, Temme EH, et al. Development and evaluation of the Dutch Healthy Diet index 2015. Public Health Nutr. 2017;20:2289–99.
doi: 10.1017/S136898001700091X
Van Der Meer RW, Hammer S, Lamb HJ, Frolich M, Diamant M, Rijzewijk LJ, et al. Effects of short-term high-fat, high-energy diet on hepatic and myocardial triglyceride content in healthy men. J Clin Endocrinol Metab. 2008;93:2702–8.
doi: 10.1210/jc.2007-2524
Naressi A, Couturier C, Devos J, Janssen M, Mangeat C, De Beer R, et al. Java-based graphical user interface for the MRUI quantitation package. Magn Reson Mater Phys Biol Med. 2001;12:141–52.
doi: 10.1007/BF02668096
Korn EL, Graubard BI. Epidemiologic studies utilizing surveys: accounting for the sampling design. Am J Public Health. 1991;81:1166–73.
doi: 10.2105/AJPH.81.9.1166
Lumley T. Analysis of complex survey samples. J Stat Softw. 2004;9:1–19.
doi: 10.18637/jss.v009.i08
Ministerie van VWS. Hoeveel mensen hebben overgewicht? 2013. https://www.volksgezondheidenzorg.info/onderwerp/overgewicht/cijfers-context/huidige-situatie .
Shah RV, Murthy VL, Abbasi SA, Blankstein R, Kwong RY, Goldfine AB, et al. Visceral adiposity and the risk of metabolic syndrome across body mass index: the MESA Study. JACC Cardiovasc Imaging. 2014;7:1221–35.
doi: 10.1016/j.jcmg.2014.07.017
Lovejoy JC, Champagne CM, de Jonge L, Xie H, Smith SR. Increased visceral fat and decreased energy expenditure during the menopausal transition. Int J Obes. 2008;32:949.
doi: 10.1038/ijo.2008.25
Benedict M, Zhang X. Non-alcoholic fatty liver disease: an expanded review. World J Hepatol. 2017;9:715–32.
doi: 10.4254/wjh.v9.i16.715
Schwingshackl L, Hoffmann G. Diet quality as assessed by the Healthy Eating Index, the Alternate Healthy Eating Index, the Dietary Approaches to Stop Hypertension score, and health outcomes: a systematic review and meta-analysis of cohort studies. J Acad Nutr Diet. 2015;115:780–800. e5.
doi: 10.1016/j.jand.2014.12.009
Voortman T, Kiefte-de Jong JC, Ikram MA, Stricker BH, van Rooij FJA, Lahousse L, et al. Adherence to the 2015 Dutch dietary guidelines and risk of non-communicable diseases and mortality in the Rotterdam Study. Eur J Epidemiol. 2017;32:993–1005.
doi: 10.1007/s10654-017-0295-2
Asghari G, Mirmiran P, Yuzbashian E, Azizi F. A systematic review of diet quality indices in relation to obesity. Br J Nutr. 2017;117:1055–65.
doi: 10.1017/S0007114517000915
Fischer K, Pick JA, Moewes D, Nothlings U. Qualitative aspects of diet affecting visceral and subcutaneous abdominal adipose tissue: a systematic review of observational and controlled intervention studies. Nutr Rev. 2015;73:191–215.
doi: 10.1093/nutrit/nuu006
Fung TT, Pan A, Hou T, Chiuve SE, Tobias DK, Mozaffarian D, et al. Long-term change in diet quality is associated with body weight change in men and women. J Nutr. 2015;145:1850–6.
doi: 10.3945/jn.114.208785
Drenowatz C, Shook RP, Hand GA, Hebert JR, Blair SN. The independent association between diet quality and body composition. Sci Rep. 2014;4:4928.
doi: 10.1038/srep04928
Gagnon C, Menard J, Bourbonnais A, Ardilouze JL, Baillargeon JP, Carpentier AC, et al. Comparison of foot-to-foot and hand-to-foot bioelectrical impedance methods in a population with a wide range of body mass indices. Metab Syndr Relat Disord. 2010;8:437–41.
doi: 10.1089/met.2010.0013
Nunez C, Gallagher D, Visser M, Pi-Sunyer FX, Wang Z, Heymsfield SB. Bioimpedance analysis: evaluation of leg-to-leg system based on pressure contact footpad electrodes. Med Sci Sports Exerc. 1997;29:524–31.
doi: 10.1097/00005768-199704000-00015
Yu D, Sonderman J, Buchowski MS, McLaughlin JK, Shu XO, Steinwandel M, et al. Healthy eating and risks of total and cause-specific death among low-income populations of African-Americans and other adults in the Southeastern United States: a prospective cohort study. PLoS Med. 2015;12:e1001830.
doi: 10.1371/journal.pmed.1001830

Auteurs

Esther van Eekelen (E)

Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands. E.van_Eekelen@lumc.nl.

Anouk Geelen (A)

Department of Human Nutrition, Wageningen University & Research, Wageningen, The Netherlands.

Marjan Alssema (M)

Unilever Research and Development, Vlaardingen, The Netherlands.
Department of Epidemiology and Biostatistics, Amsterdam Public Health research institute, VU University Medical Center, Amsterdam, The Netherlands.

Hildo J Lamb (HJ)

Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.

Albert de Roos (A)

Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.

Frits R Rosendaal (FR)

Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.

Renée de Mutsert (R)

Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH