| 1. |
- Carlsson, A. C., et al.
(författare)
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Novel and established anthropometric measures and the prediction of incident cardiovascular disease : a cohort study
- 2013
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Ingår i: International Journal of Obesity. - : Springer Science and Business Media LLC. - 0307-0565 .- 1476-5497. ; 37:12, s. 1579-1585
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Tidskriftsartikel (refereegranskat)abstract
- OBJECTIVES: The aim of this study was to compare novel and established anthropometrical measures in their ability to predict cardiovascular disease (CVD), and to determine whether they improve risk prediction beyond classical risk factors in a cohort study of 60-year-old men and women. We also stratified the results according to gender to identify possible differences between men and women. Furthermore, we aimed to replicate our findings in a large independent cohort (The Malmo Diet and Cancer study-cardiovascular cohort).METHODS: This was a population-based study of 1751 men and 1990 women, aged 60 years and without CVD at baseline, with 375 incident cases of CVD during 11 years of follow-up. Weight, height, waist circumference (WC), hip circumference and sagittal abdominal diameter (SAD) were measured at baseline. Body mass index (BMI), waist-hip ratio (WHR), waist-hip-height ratio (WHHR), WC-to-height ratio (WCHR) and SAD-to-height ratio (SADHR) were calculated.RESULTS: All anthropometric measures predicted CVD in unadjusted Cox regression models per s.d. increment (hazard ratios, 95% confidence interval), while significant associations after adjustments for established risk CVD factors were noted for WHHR 1.20 (1.08-1.33), WHR 1.14 (1.02-1.28), SAD 1.13 (1.02-1.25) and SADHR 1.17 (1.06-1.28). WHHR had higher increases in C-statistics, and model improvements (likelihood ratio tests (P<0.001)). In the replication study (MDC-CC, n = 5180), WHHR was the only measure that improved Cox regression models in men (P = 0.01).CONCLUSION: WHHR, a new measure reflecting body fat distribution, showed the highest risk estimates after adjustments for established CVD risk factors. These findings were verified in men but not women in an independent cohort.
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| 2. |
- Carlsson, A. C., et al.
(författare)
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Prediction of cardiovascular disease by abdominal obesity measures is dependent on body weight and sex - Results from two community based cohort studies
- 2014
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Ingår i: NMCD. Nutrition Metabolism and Cardiovascular Diseases. - : Elsevier BV. - 0939-4753 .- 1590-3729. ; 24:8, s. 891-899
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Tidskriftsartikel (refereegranskat)abstract
- Aim: To study waist-hip ratio (WHR), waist circumference (WC), sagittal abdominal diameter (SAD), and waist-hip-height ratio (WHHR) as predictors of CVD, in men and women stratified by BMI (cut-off >= 25). Methods and results: A cohort of n = 3741 (53% women) 60-year old individuals without CVD was followed for 11-years (375 CVD cases). To replicate the results, we also assessed another large independent cohort; The Malmo Diet and Cancer study - cardiovascular cohort (MDCC, (n = 5180, 60% women, 602 CVD cases during 16-years). After adjustment for established risk factors in normal-weight women, the hazard ratio (HR) per one standard deviation (SD) were; WHR; 1.91 (95% confidence interval (CI) 1.35-2.70), WC; 1.81 (95% CI 1.02-3.20), SAD; 1.25 (95% CI 0.74-2.11), and WHHR; 1.97 (95% CI 1.40-2.78). In men the association with WHR, WHHR and WC were not significant, whereas SAD was the only measure that significantly predicted CVD in men (HR 1.19 (95% CI 1.04-1.35). After adjustments for established risk factors in overweight/obese women, none of the measures were significantly associated with CVD risk. In men, however, all measures were significant predictors; WHR; 1.24 (955 CI 1.04-1.47), WC 1.19 (95% CI 1.00-1.42), SAD 1.21 (95% CI 1.00-1.46), and WHHR; 1.23 (95% CI 1.05-1.44). Only the findings in men with BMI >= 25 were verified in MDCC. Conclusion: In normal weight individuals, WHHR and WHR were the best predictors in women, whereas SAD was the only independent predictor in men. Among overweight/obese individuals all measures failed to predict CVD in women, whereas WHHR was the strongest predictor after adjustments for CVD risk factors in men.
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| 3. |
- Laguzzi, F., et al.
(författare)
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Circulating fatty acids in relation to alcohol consumption : Cross-sectional results from a cohort of 60-year-old men and women
- 2018
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Ingår i: Clinical Nutrition. - : CHURCHILL LIVINGSTONE. - 0261-5614 .- 1532-1983. ; 37:6, Part A, s. 2001-2010
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Tidskriftsartikel (refereegranskat)abstract
- Background & aims: Alcohol consumption is considered to affect circulating fatty acids (FAs) but knowledge about specific associations is limited. We aimed to assess the relation between alcohol consumption and serum FAs in 60-year-old Swedish men and women.Methods: In a random sample of 1917 men and 2058 women residing in Stockholm county, cross-sectional associations between different categories of alcohol consumption and FAs were assessed using linear regression; beta(1) coefficients with 95% confidence interval (Cl) were calculated. Self-reported alcohol consumption was categorized as none, low (<= 9.9 g/day) (reference), moderate (10-29.9 g/day) and high (>= 30 g/day). Moderate alcohol consumption was further subdivided into consumption of beer, wine, liquor and their combinations. Thirteen serum cholesterol ester FM were measured by gas chromatography and individual FM were expressed as percentage of total FAs.Results: Increasing alcohol consumption was associated to linear increase of saturated myristic acid, monounsaturated FAs and n-6 polyunsaturated (PUFA) arachidonic acid, whereas linear decrease was noted for saturated pentadecanoic acid and for n-6 PUFA linoleic acid. With non-linear associations, increasing alcohol consumption also associated to decreased saturated stearic acid, n-6 PUFA dihomogamma-linolenic acid, and n-3 PUFA docosahexaenoic acid and increased saturated palmitic acid, n-6 PUFA gamma-linolenic acid and n-3 PUFA eicosapentaenoic acid. Among types of beverages, wine consumption was associated with n-6 PUFA arachidonic acid (beta(1) 0.59; 95% CI: 030;0.88) and the n-3 PUFAs eicosapentaenoic acid (beta(1) 0.54; 95% CI: 0.30;0.78), and docosahexaenoic acid (beta(1) 0.06; 95% CI: 0.00;0.12).Conclusions: These findings may give important basis for further investigations to better understand biological mechanisms behind the dose-dependent associations between alcohol consumption and health outcomes observed in many previous studies.
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| 4. |
- Laguzzi, F, et al.
(författare)
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Cross-sectional relationships between dietary fat intake and serum cholesterol fatty acids in a Swedish cohort of 60-year-old men and women
- 2016
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Ingår i: Journal of human nutrition and dietetics (Print). - : Wiley. - 0952-3871 .- 1365-277X. ; 29:3, s. 325-337
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: The present study aimed to describe the relationship between self-reported dietary intake and serum cholesterol fatty acids (FAs) in a Swedish population of 60-year-old men and women.METHODS: Cross-sectional data collected in 1997-1998 from 4232 individuals residing in Stockholm County were used. Five diet scores were created to reflect the intake of saturated fats in general, as well as fats from dairy, fish, processed meat and vegetable oils and margarines. Gas chromatography was used to assess 13 FAs in serum cholesterol esters. The association between each diet score and specific FAs was assessed by percentile differences (PD) with 95% confidence intervals (CI) at the 10th, 25th, 50th, 75th and 90th percentile of each FA across levels of diet scores using quantile regression.RESULTS: Fish intake was associated with high proportions of eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA). For each point increase in fish score, the 50th PD in EPA and DHA was 32.78% (95% CI = 29.22% to 36.35%) and 10.63% (95% CI = 9.52% to 11.74%), respectively. Vegetable fat intake was associated with a high proportion of linoleic acid and total polyunsaturated fatty acids (PUFA) and a low proportion of total saturated fatty acids (SFA). The intake of saturated fats in general and dairy fat was slightly associated with specific SFA, although the intake of fat from meat was not.CONCLUSIONS: In the present study population, using a rather simple dietary assessment method, the intake of fish and vegetable fats was clearly associated with serum PUFA, whereas foods rich in saturated fats in general showed a weak relationship with serum SFA. Our results may contribute to increased knowledge about underlying biology in diet-cardiovascular disease associations.
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| 5. |
- Laguzzi, F., et al.
(författare)
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Role of Polyunsaturated Fat in Modifying Cardiovascular Risk Associated With Family History of Cardiovascular Disease : Pooled De Novo Results From 15 Observational Studies
- 2024
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Ingår i: Circulation. - : Wolters Kluwer. - 0009-7322 .- 1524-4539. ; 149:4, s. 305-316
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: It is unknown whether dietary intake of polyunsaturated fatty acids (PUFA) modifies the cardiovascular disease (CVD) risk associated with a family history of CVD. We assessed interactions between biomarkers of low PUFA intake and a family history in relation to long-term CVD risk in a large consortium.METHODS: Blood and tissue PUFA data from 40 885 CVD-free adults were assessed. PUFA levels ≤25th percentile were considered to reflect low intake of linoleic, alpha-linolenic, and eicosapentaenoic/docosahexaenoic acids (EPA/DHA). Family history was defined as having ≥1 first-degree relative who experienced a CVD event. Relative risks with 95% CI of CVD were estimated using Cox regression and meta-analyzed. Interactions were assessed by analyzing product terms and calculating relative excess risk due to interaction.RESULTS: After multivariable adjustments, a significant interaction between low EPA/DHA and family history was observed (product term pooled RR, 1.09 [95% CI, 1.02-1.16]; P=0.01). The pooled relative risk of CVD associated with the combined exposure to low EPA/DHA, and family history was 1.41 (95% CI, 1.30-1.54), whereas it was 1.25 (95% CI, 1.16-1.33) for family history alone and 1.06 (95% CI, 0.98-1.14) for EPA/DHA alone, compared with those with neither exposure. The relative excess risk due to interaction results indicated no interactions.CONCLUSIONS: A significant interaction between biomarkers of low EPA/DHA intake, but not the other PUFA, and a family history was observed. This novel finding might suggest a need to emphasize the benefit of consuming oily fish for individuals with a family history of CVD.
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| 6. |
- Trieu, K, et al.
(författare)
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Biomarkers of dairy fat intake, incident cardiovascular disease, and all-cause mortality: A cohort study, systematic review, and meta-analysis
- 2021
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Ingår i: PLoS medicine. - : Public Library of Science (PLoS). - 1549-1676 .- 1549-1277. ; 18:9, s. e1003763-
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Tidskriftsartikel (refereegranskat)abstract
- We aimed to investigate the association of serum pentadecanoic acid (15:0), a biomarker of dairy fat intake, with incident cardiovascular disease (CVD) and all-cause mortality in a Swedish cohort study. We also systematically reviewed studies of the association of dairy fat biomarkers (circulating or adipose tissue levels of 15:0, heptadecanoic acid [17:0], andtrans-palmitoleic acid [t16:1n-7]) with CVD outcomes or all-cause mortality.Methods and findingsWe measured 15:0 in serum cholesterol esters at baseline in 4,150 Swedish adults (51% female, median age 60.5 years). During a median follow-up of 16.6 years, 578 incident CVD events and 676 deaths were identified using Swedish registers. In multivariable-adjusted models, higher 15:0 was associated with lower incident CVD risk in a linear dose–response manner (hazard ratio 0.75 per interquintile range; 95% confidence interval 0.61, 0.93,P= 0.009) and nonlinearly with all-cause mortality (P for nonlinearity = 0.03), with a nadir of mortality risk around median 15:0. In meta-analyses including our Swedish cohort and 17 cohort, case–cohort, or nested case–control studies, higher 15:0 and 17:0 but nott16:1n-7 were inversely associated with total CVD, with the relative risk of highest versus lowest tertile being 0.88 (0.78, 0.99), 0.86 (0.79, 0.93), and 1.01 (0.91, 1.12), respectively. Dairy fat biomarkers were not associated with all-cause mortality in meta-analyses, although there were ≤3 studies for each biomarker. Study limitations include the inability of the biomarkers to distinguish different types of dairy foods and that most studies in the meta-analyses (including our novel cohort study) only assessed biomarkers at baseline, which may increase the risk of misclassification of exposure levels.ConclusionsIn a meta-analysis of 18 observational studies including our new cohort study, higher levels of 15:0 and 17:0 were associated with lower CVD risk. Our findings support the need for clinical and experimental studies to elucidate the causality of these relationships and relevant biological mechanisms.
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