Association between dietary fat intake, liver fat, and insulin sensitivity in sedentary, abdominally obese, older men

2008 ◽  
Vol 33 (2) ◽  
pp. 239-245 ◽  
Author(s):  
Jennifer L. Kuk ◽  
Lance E. Davidson ◽  
Robert Hudson ◽  
Katherine Kilpatrick ◽  
Kinga Bacskai ◽  
...  
Keyword(s):  
Insulin Sensitivity ◽  
Alcohol Consumption ◽  
Dietary Fat ◽  
Dietary Habits ◽  
Older Men ◽  
Liver Fat ◽  
Fat Intake ◽  
Cross Sectional ◽  
Dietary Fat Intake ◽  
Diet Records

Whether dietary fat influences the interaction between liver fat, visceral adipose tissue (VAT), and metabolic risk is unclear. Thus, we sought to determine the independent associations between 1 and 10 d dietary fat intake, liver fat, and VAT on insulin sensitivity using a cross-sectional design. Liver fat score (LFS) was assessed by computed tomography and VAT by magnetic resonance imaging in 42 abdominally obese older men. Insulin sensitivity was measured by the hyperinsulinemic–euglycemic clamp technique. Diet composition was determined from self-recorded diet records for 1 and 10 d preceding the assessment of LFS. LFS was positively associated with the 10 d average fat and alcohol intake, but not with any 1 d average dietary variables. VAT (r = –0.36) and LFS (r = –0.32) were both negatively correlated with insulin sensitivity (p < 0.05). When LFS and VAT were entered in the same model, only VAT was an independent predictor of insulin sensitivity (p < 0.05). Control for the average 10 d alcohol consumption and fat intake improved the association between insulin sensitivity and LFS (from r = –0.32, p > 0.10 to r = –0.49, p < 0.05), but not VAT. In fact, after control for the 10 d dietary variables, both LFS and VAT were independent predictors of insulin sensitivity (p < 0.05). This was not true for any of the 1 d dietary intake variables. In conclusion, liver fat is associated with dietary fat intake and alcohol consumption over 10 d, but not 1 d. Furthermore, dietary habits may influence the relationship between liver fat and insulin sensitivity.

scholarly journals Association between dietary fat intake and MRI-determined visceral, subcutaneous, or hepatic fat in men and women from the general population

2020 ◽  
Vol 79 (OCE2) ◽  
Author(s):  
Christa Meisinger ◽  
Susanne Rospleszcz ◽  
Elke Wintermeyer ◽  
Roberto Lorbeer ◽  
Barbara Thorand ◽  
...  
Keyword(s):  
Adipose Tissue ◽  
Total Energy ◽  
Dietary Fat ◽  
Fat Content ◽  
Liver Fat ◽  
Fat Intake ◽  
Cross Sectional ◽  
Dietary Fat Intake ◽  
Hepatic Fat ◽  
Total Fat

AbstractIntroduction:An increase in dietary fat intake - at the expense of dietary carbohydrate intake - may play an important role in the accumulation of adipose tissue at different sites and liver fat accumulation. Thus, the present study investigated the isocaloric substitution of dietary carbohydrates with fat, and its cross-sectional association with visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT), and hepatic fat content as determined by MRI.Material and Methods:Data from 283 participants (mean age 56.1 ± 9.0 years) from the KORA FF4 study study who underwent whole-body MRI were included. VAT, SAT, and total body fat were quantified by a volume-interpolated VIBE-T1w-Dixon MR sequence. Hepatic fat content was determined as the proton density fat-fraction (PDFF) derived from multiecho-T1w MR sequence. Habitual dietary intake was estimated by combining the information provided by repeated 24-h food lists and a food frequency questionnaire. Cross-sectional associations were analyzed using linear regressions.Results:Carbohydrate intake (in % of total energy intake (E%)) correlated significantly inversely with VAT (r = -0.34) and hepatic fat (r = -0,30), while fat intake (E%) correlated positively with hepatic fat content (r = 0.16). Replacing total carbohydrates with an isocaloric amount of total fat was significantly positively associated with VAT and hepatic fat, while there was no significant association with SAT. The multivariable adjusted β-coefficient for replacing 5 E% carbohydrates with total fat was 0.39 (95% CI: 0.02, 0.76) for VAT. An increase in total fat intake by 5% of total energy was associated with an increase in liver fat content by 24%. Dietary fiber intake was significantly inversely associated with VAT and hepatic lipid content.Discussion:In middle-aged adults, substitution of carbohydrates with total fat was associated with a higher volume of VAT and an increase of hepatic fat, while whole-grain associated carbohydrates show inverse associations. If reproduced in prospective studies, such findings would strongly argue for limiting dietary fat intake.

scholarly journals Association between dietary fat intake and insulin resistance in Chinese child twins

2017 ◽  
Vol 117 (2) ◽  
pp. 230-236 ◽  
Author(s):  
Tao Huang ◽  
Terri Beaty ◽  
Ji Li ◽  
Huijuan Liu ◽  
Wei Zhao ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Insulin Sensitivity ◽  
Dietary Fat ◽  
Eastern China ◽  
Genetic Correlations ◽  
Dietary Factors ◽  
Genetic Influence ◽  
Chinese Child ◽  
Fat Intake ◽  
Dietary Fat Intake

AbstractDietary fat intake is correlated with increased insulin resistance (IR). However, it is unknown whether gene–diet interaction modulates the association. This study estimated heritability of IR measures and the related genetic correlations with fat intake, and tested whether dietary fat intake modifies the genetic influence on type 2 diabetes (T2D)-related traits in Chinese child twins. We included 622 twins aged 7–15 years (n 311 pairs, 162 monozygotic (MZ), 149 dizygotic (DZ)) from south-eastern China. Dietary factors were measured using FFQ. Structural equation models were fit using Mx statistical package. The intra-class correlation coefficients for all traits related to T2D were higher for MZ twins than for DZ twins. Dietary fat and fasting serum insulin (additive genetic correlation (rA) 0·20; 95 % CI 0·08, 0·43), glucose (rA 0·12; 95 % CI 0·01, 0·40), homoeostasis model of assessment-insulin resistance (Homa-IR) (rA 0·22; 95 % CI 0·10, 0·50) and the quantitative insulin sensitivity check index (Quicki) (rA −0·22; 95 % CI −0·40, 0·04) showed strong genetic correlations. Heritabilities of dietary fat intake, fasting glucose and insulin were estimated to be 52, 70 and 70 %, respectively. More than 70 % of the phenotypic correlations between dietary fat and insulin, glucose, Homa-IR and the Quicki index appeared to be mediated by shared genetic influence. Dietary fat significantly modified additive genetic effects on these quantitative traits associated with T2D. Analysis of Chinese twins yielded high estimates of heritability of dietary fat intake and IR. Genetic factors appear to contribute to a high proportion of the variance for both insulin sensitivity and IR. Dietary fat intake modifies the genetic influence on blood levels of insulin and glucose, Homa-IR and the Quicki index.

scholarly journals HUBUNGAN ASUPAN LEMAK DENGAN KADAR HS-CRP SERUM PADA MAHASISWA OBES DAN TIDAK OBES DI FAKULTAS KEDOKTERAN UNIVERSITAS SAM RATULANGI MANADO

2013 ◽  
Vol 1 (1) ◽  
Author(s):  
Fajar Aprilianti ◽  
Shirley E.S. Kawengian ◽  
Alexander S. L. Bolang
Keyword(s):  
Heart Disease ◽  
Dietary Fat ◽  
Fat Intake ◽  
C Reactive Protein ◽  
Cross Sectional ◽  
Spearman Rank ◽  
Reactive Protein ◽  
Dietary Fat Intake ◽  
Fat Consumption ◽  
Hs Crp

Abstract: Fat consumption is now a growing thing in the notice due to changes lifestyle. Excessive fat will increase the risk of obesity and accounted for heart disease. Fat is the most dense source of energy, which produces 9 kcal / gram with the the total dietary fat consumption which is good for health should be 20-30% of the total energy needs. High sensitive C-reactive protein (hs CRP) is a very sensitive test for the detection of cardiovascular risk, coronary heart disease (CHD). The objective of this study was to examine the association between dietary fat intake and levels of hs CRP among the medical students of the Faculty of Medicine, University of Sam Ratulangi Manado. This study was an analytical cross-sectional design, conducted in November - December 2012 with 59 respondents. Using the Mann Whitney test, the result showed that there was no difference in dietary fat intake of obes and non-obes (p = 0.85 > 0.05  with z =  -0,19). Levels of hs-CRP serum obes and non-obes showed that there was difference (p = 0.00 < 0.05 with z= -3,55). Spearman rank test, the result showed that there was no significant association between dietary fat intake and levels of hs-CRP among the medical students of the Faculty of Medicine, University of Sam Ratulangi. Manado (p = 0,61 > 0,05 with r = 0,06). Keywords: Dietary fat intake, hs-CRP levels, CHD, Obesity. Abstrak: Konsumsi lemak saat ini merupakan hal yang semakin di perhatikan karena perubahan gaya hidup. Lemak yang berlebihan akan meningkatkan obesitas dan menyumbang resiko penyakit jantung. Lemak menghasilkan 9 kkal/gram dengan konsumsi yang dianjurkan sebanyak 20-30% dari total kebutuhan energi. High sensitive-C reactive protein (hs-CRP) merupakan uji yang sangat sensitive  untuk mendeteksi resiko kardiovaskular,penyakit jantung koroner (PJK). Tujuan dari penelitian ini ialah untuk mengetahui perbedaan antara asupan lemak dengan kadar hs CRP mahasiswa obes dengan tidak obes pada Fakultas Kedokteran Universitas Sam Ratulangi Manado. Desain penelitian ini bersifat analitik dengan pendekatan cross sectional. Penelitian ini dilakukan pada bulan November-Desember 2012 dengan jumlah sampel sebanyak 59 orang. Hasil penelitian perbedaan asupan lemak obes dan non obes  menggunakan uji Mann Whitney dengan nilai p=0,85 >0,05 menunjukan tidak adanya perbedaan asupan lemak mahasiswa obes dengan tidak obes. Nilai p=0,00 < 0,05 menunjukan ada perbedaan kadar hs-CRP mahasiswa obes dan tidak obes. Uji Spearman rank dengan nilai p = 0,61 > 0.05 dengan nilai r = 0,06 menunjukan ada hubungan positif yang lemah tetapi tidak bermakna antara asupan lemak dengan kadar hs-CRP pada mahasiswa Fakultas Kedokteran Universitas Sam Ratulangi. Kata kunci: Asupan lemak, hs-CRP, PJK, Obesitas.

scholarly journals Serum nonesterified fatty acids have utility as dietary biomarkers of fat intake from fish, fish oil, and dairy in women

2020 ◽  
Vol 61 (6) ◽  
pp. 933-944 ◽  
Author(s):  
Sandi M. Azab ◽  
Russell J. de Souza ◽  
Koon K. Teo ◽  
Sonia S. Anand ◽  
Natalie C. Williams ◽  
...  
Keyword(s):  
Fish Oil ◽  
Dietary Fat ◽  
Daily Intake ◽  
Cross Sectional Study ◽  
High Dose ◽  
Fat Intake ◽  
Cross Sectional ◽  
Nonesterified Fatty Acids ◽  
Dietary Fat Intake ◽  
Nutritional Studies

Nutritional studies rely on various biological specimens for FA determination, yet it is unclear how levels of serum NEFAs correlate with other circulating lipid pools. Here, we used a high-throughput method (<4 min/sample) based on multisegment injection-nonaqueous capillary electrophoresis-mass spectrometry (MSI-NACE-MS) to investigate whether specific serum NEFAs have utility as biomarkers of dietary fat intake in women. We first identified circulating NEFAs correlated with long-term/habitual food intake among pregnant women with contrasting dietary patterns (n = 50). Acute changes in serum NEFA trajectories were also studied in nonpregnant women (n = 18) following high-dose (5 g/day) fish oil (FO) supplementation or isoenergetic sunflower oil placebo over 56 days. In the cross-sectional study, serum ω-3 FAs correlated with self-reported total ω-3 daily intake, notably EPA as its NEFA (r = 0.46; P = 0.001), whereas pentadecanoic acid was associated with full-fat dairy intake (r = 0.43; P = 0.002), outcomes consistent with results from total FA serum hydrolysates. In the intervention cohort, serum ω-3 NEFAs increased 2.5-fold from baseline within 28 days following FO supplementation, and this increase was most pronounced for EPA (P = 0.0004). Unlike for DHA, circulating EPA as its NEFA also strongly correlated to EPA concentrations measured from erythrocyte phospholipid hydrolysates (r = 0.66; P = 4.6 × 10−10) and was better suited to detect dietary nonadherence. We conclude that MSI-NACE-MS offers a rapid method to quantify serum NEFAs and objectively monitor dietary fat intake in women that is complementary to food-frequency questionnaires.

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