Skip to main content Accessibility help
×
Home

Associations of types of dairy consumption with adiposity: cross-sectional findings from over 12 000 adults in the Fenland Study, UK

  • Eirini Trichia (a1), Fumiaki Imamura (a1), Søren Brage (a1), Emanuella De Lucia Rolfe (a1), Simon J. Griffin (a1) (a2), Nicholas J. Wareham (a1) and Nita G. Forouhi (a1)...

Abstract

Evidence from randomised controlled trials supports beneficial effects of total dairy products on body weight, fat and lean mass, but evidence on associations of dairy types with distributions of body fat and lean mass is limited. We aimed to investigate associations of total and different types of dairy products with markers of adiposity, and body fat and lean mass distribution. We evaluated cross-sectional data from 12 065 adults aged 30–65 years recruited to the Fenland Study between 2005 and 2015 in Cambridgeshire, UK. Diet was assessed with an FFQ. We estimated regression coefficients (or percentage differences) and their 95 % CI using multiple linear regression models. The medians of milk, yogurt and cheese consumption were 293 (interquartile range (IQR) 146–439), 35·3 (IQR 8·8–71·8) and 14·6 (IQR 4·8–26·9) g/d, respectively. Low-fat dairy consumption was inversely associated with visceral:subcutaneous fat ratio estimated with dual-energy X-ray absorptiometry (–2·58 % (95 % CI –3·91, –1·23 %) per serving/d). Habitual consumption per serving/d (200 g) of milk was associated with 0·33 (95 % CI 0·19, 0·46) kg higher lean mass. Other associations were not significant after false discovery correction. Our findings suggest that the influence of milk consumption on lean mass and of low-fat dairy consumption on fat mass distribution may be potential pathways for the link between dairy consumption and metabolic risk. Our cross-sectional findings warrant further research in prospective and experimental studies in diverse populations.

Copyright

Corresponding author

*Corresponding authors: Dr E. Trichia, fax +44 1223 330316, email Eirini.Trichia@mrc-epid.cam.ac.uk; Professor N. G. Forouhi, fax +44 1223 330316, email Nita.Forouhi@mrc-epid.cam.ac.uk

References

Hide All
1.Forouzanfar, MH, Alexander, L, Anderson, HR, et al. (2015) Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet 386, 22872323.
2.Rice, BH, Quann, EE & Miller, GD (2013) Meeting and exceeding dairy recommendations: effects of dairy consumption on nutrient intakes and risk of chronic disease. Nutr Rev 71, 209223.
3.Ramsden, CE, Zamora, D, Majchrzak-Hong, S, et al. (2016) Re-evaluation of the traditional diet-heart hypothesis: analysis of recovered data from Minnesota Coronary Experiment (1968–73). BMJ 353, i1246.
4.Guo, J, Astrup, A, Lovegrove, JA, et al. (2017) Milk and dairy consumption and risk of cardiovascular diseases and all-cause mortality: dose–response meta-analysis of prospective cohort studies. Eur J Epidemiol 32, 269287.
5.Alexander, DD, Bylsma, LC, Vargas, AJ, et al. (2016) Dairy consumption and CVD: a systematic review and meta-analysis. Br J Nutr 115, 737750.
6.Aune, D, Norat, T, Romundstad, P, et al. (2013) Dairy products and the risk of type 2 diabetes: a systematic review and dose–response meta-analysis of cohort studies. Am J Clin Nutr 98, 10661083.
7.Gijsbers, L, Ding, EL, Malik, VS, et al. (2016) Consumption of dairy foods and diabetes incidence: a dose–response meta-analysis of observational studies. Am J Clin Nutr 103, 11111124.
8.Gao, D, Ning, N, Wang, C, et al. (2013) Dairy products consumption and risk of type 2 diabetes: systematic review and dose–response meta-analysis. PLOS ONE 8, e73965.
9.Mozaffarian, D (2016) Dietary and policy priorities for cardiovascular disease, diabetes, and obesity a comprehensive review. Circulation 133, 187225.
10.Geng, T, Qi, L & Huang, T (2018) Effects of dairy products consumption on body weight and body composition among adults: an updated meta-analysis of 37 randomized control trials. Mol Nutr Food Res 62, 1700410.
11.Stonehouse, W, Wycherley, T, Luscombe-Marsh, N, et al. (2016) Dairy intake enhances body weight and composition changes during energy restriction in 18–50-year-old adults – a meta-analysis of randomized controlled trials. Nutrients 8, 394.
12.Wajchenberg, BL (2000) Subcutaneous and visceral adipose tissue: their relation to the metabolic syndrome. Endocr Rev 21, 697738.
13.Fox, CS, Massaro, JM, Hoffmann, U, et al. (2007) Abdominal visceral and subcutaneous adipose tissue compartments. Circulation 116, 3948.
14.Porter, SA, Massaro, JM, Hoffmann, U, et al. (2009) Abdominal subcutaneous adipose tissue: a protective fat depot? Diabetes Care 32, 10681075.
15.Kaess, B, Pedley, A, Massaro, J, et al. (2012) The ratio of visceral to subcutaneous fat, a metric of body fat distribution, is a unique correlate of cardiometabolic risk. Diabetologia 55, 26222630.
16.Josse, AR, Atkinson, SA, Tarnopolsky, MA, et al. (2011) Increased consumption of dairy foods and protein during diet-and exercise-induced weight loss promotes fat mass loss and lean mass gain in overweight and obese premenopausal women. J Nutr 141, 16261634.
17.Pallister, T, Jackson, M, Martin, T, et al. (2017) Untangling the relationship between diet and visceral fat mass through blood metabolomics and gut microbiome profiling. Int J Obes 41, 1106.
18.Bingham, SA, Welch, AA, McTaggart, A, et al. (2001) Nutritional methods in the European prospective investigation of cancer in Norfolk. Public Health Nutr 4, 847858.
19.Mulligan, AA, Luben, RN, Bhaniani, A, et al. (2014) A new tool for converting food frequency questionnaire data into nutrient and food group values: FETA research methods and availability. BMJ Open 4, e004503.
20.O’Connor, LM, Lentjes, MA, Luben, RN, et al. (2014) Dietary dairy product intake and incident type 2 diabetes: a prospective study using dietary data from a 7-day food diary. Diabetologia 57, 909917.
21.Clifton, E, Day, F, Rolfe, EDL, et al. (2017) Associations between body mass index-related genetic variants and adult body composition: the Fenland cohort study. Int J Obes 41, 613619.
22.Kaul, S, Rothney, MP, Peters, DM, et al. (2012) Dual-energy X-ray absorptiometry for quantification of visceral fat. Obesity (Silver Spring) 20, 13131318.
23.Mohammad, A, De Lucia Rolfe, E, Sleigh, A, et al. (2017) Validity of visceral adiposity estimates from DXA against MRI in Kuwaiti men and women. Nutr Diabetes 7, e238.
24.Brage, S, Brage, N, Franks, P, et al. (2005) Reliability and validity of the combined heart rate and movement sensor Actiheart. Eur J Clin Nutr 59, 561570.
25.Brage, S, Ekelund, U, Brage, N, et al. (2007) Hierarchy of individual calibration levels for heart rate and accelerometry to measure physical activity. J Appl Physiol 103, 682692.
26.White, IR, Royston, P & Wood, AM (2011) Multiple imputation using chained equations: issues and guidance for practice. Stat Med 30, 377399.
27.Verardi, V & Croux, C (2008) Robust regression in Stata. Stata J 9, 439453.
28.Benjamini, Y & Yekutieli, D (2001) The control of the false discovery rate in multiple testing under dependency. Ann Stat 29, 11651188.
29.Willett, WC, Howe, GR & Kushi, LH (1997) Adjustment for total energy intake in epidemiologic studies. Am J Clin Nutr 65, 1220S1228S.
30.Livingstone, MB & Black, AE (2003) Markers of the validity of reported energy intake. J Nutr 133, Suppl. 3, 895S920S.
31.Abargouei, AS, Janghorbani, M, Salehi-Marzijarani, M, et al. (2012) Effect of dairy consumption on weight and body composition in adults: a systematic review and meta-analysis of randomized controlled clinical trials. Int J Obes (Lond) 36, 14851493.
32.Booth, AO, Huggins, CE, Wattanapenpaiboon, N, et al. (2015) Effect of increasing dietary calcium through supplements and dairy food on body weight and body composition: a meta-analysis of randomised controlled trials. Br J Nutr 114, 10131025.
33.Chen, M, Pan, A, Malik, VS, et al. (2012) Effects of dairy intake on body weight and fat: a meta-analysis of randomized controlled trials. Am J Clin Nutr 96, 735747.
34.Christen, T, Sheikine, Y, Rocha, VZ, et al. (2010) Increased glucose uptake in visceral versus subcutaneous adipose tissue revealed by PET imaging. JACC Cardiovasc Imag 3, 843851.
35.Zemel, MB (2003) Role of dietary calcium and dairy products in modulating adiposity. Lipids 38, 139146.
36.Rosenblum, JL, Castro, VM, Moore, CE, et al. (2012) Calcium and vitamin D supplementation is associated with decreased abdominal visceral adipose tissue in overweight and obese adults. Am J Clin Nutr 95, 101108.
37.Thorning, TK, Raben, A, Tholstrup, T, et al. (2016) Milk and dairy products: good or bad for human health? An assessment of the totality of scientific evidence. Food Nutr Res 60, 32527.
38.Rich-Edwards, JW, Ganmaa, D, Pollak, MN, et al. (2007) Milk consumption and the prepubertal somatotropic axis. Nutr J 6, 28.
39.Van Vught, A, Nieuwenhuizen, A, Veldhorst, M, et al. (2010) The effects of dietary protein on the somatotropic axis: a comparison of soy, gelatin, [alpha]-lactalbumin and milk. Eur J Clin Nutr 64, 441.
40.Carroll, PV, Christ the members of Growth Hormone Research Society Scientific Committee ER, Bengtsson, BA, et al. (1998) Growth hormone deficiency in adulthood and the effects of growth hormone replacement: a review. J Clin Endocrinol Metab 83, 382395.
41.Trijsburg, L, Geelen, A, Hollman, PC, et al. (2016) 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 20, 110.
42.Global Dietary Database (2010) Global Distribution of Milk Consumption in 2010. https://www.globaldietarydatabase.org/our-data/data-visualizations/dietary-data-country (accessed June 2018).

Keywords

Type Description Title
WORD
Supplementary materials

Trichia et al. supplementary material
Trichia et al. supplementary material

 Word (134 KB)
134 KB

Associations of types of dairy consumption with adiposity: cross-sectional findings from over 12 000 adults in the Fenland Study, UK

  • Eirini Trichia (a1), Fumiaki Imamura (a1), Søren Brage (a1), Emanuella De Lucia Rolfe (a1), Simon J. Griffin (a1) (a2), Nicholas J. Wareham (a1) and Nita G. Forouhi (a1)...

Metrics

Altmetric attention score

Full text views

Total number of HTML views: 0
Total number of PDF views: 0 *
Loading metrics...

Abstract views

Total abstract views: 0 *
Loading metrics...

* Views captured on Cambridge Core between <date>. This data will be updated every 24 hours.

Usage data cannot currently be displayed