Associations between the intake of dairy fat and calcium and abdominal obesity

OBJECTIVE: This study evaluates the association between abdominal obesity and the intake of dairy fat and calcium using information from dietary data and the relative content of the fatty acids 14: 0, 15: 0, and 17 : 0 in serum phospholipids (PL) and adipose tissue ( AT), which are suggested biological markers for dairy fat intake. This study also explores how the associations were affected when under-reporters (URs) were separated from the analyses. DESIGN: Cross-sectional study. SUBJECTS: In all, 301 healthy 63-y-old men with different degrees of fasting-insulin concentrations. METHODS: Sagittal abdominal obesity ( SAD), dietary intake assessed by a 7-day food registration, and the fatty acid composition in serum PL and AT were measured. URs ( n = 88) and non-under-reporters (non-URs, n = 213) were identified by Goldberg's equation, which compares energy intake with energy expenditure, both expressed as multiples of the basal metabolic rate. RESULTS: The intake of dairy fat, expressed as g/100 g fat, was inversely correlated with SAD; however, this association was only observed in the URs ( r = - 0.36, P = 0.001) and not in the non-URs ( r = - 0.04, P = 0.59). The intake of calcium was inversely correlated with SAD in both groups, although the association was weaker in the non-URs. The intake of dairy fat was related to the relative content of the fatty acids 14: 0, 15: 0, and 17 : 0 in serum PL and AT ( r ranging between 0.32 and 0.55). When these fatty acids were correlated to SAD, inverse associations were seen except for 14: 0 in PL ( r ranging between - 0.17 and - 0.29. CONCLUSION: If there is a true inverse association between the intake of dairy fat and SAD, it remains to explain why this association was not seen in the non-URs. The data gave some indications of an inverse association between SAD and the intake of calcium. The diverse findings observed when the URs and non-URs were separated highlight the question of how to use and interpret dietary data in URs when diet - disease relationships are investigated.