Plasma Trans Fatty Acid Levels, Cardiovascular Risk Factors and Lifestyle: Results from the Akershus Cardiac Examination 1950 Study
by
, ,
Anupam Chandra
1,2,*, 
Magnus Nakrem Lyngbakken
2,3,
Ivar Anders Eide
1,
Helge Røsjø
2,4,
Thea Vigen
2,3,
Håkon Ihle-Hansen
5,
Eivind Bjørkan Orstad
3,
Ole Morten Rønning
2,3,
Trygve Berge
5,
Erik Berg Schmidt
6,
Arnljot Tveit
2,5,
Torbjørn Omland
2,3 and
My Svensson
1,2 1
Department of Renal Medicine, Division of Medicine, Akershus University Hospital, 1478 Lørenskog, Norway
2
Institute of Clinical Medicine, University of Oslo, 0315 Oslo, Norway
3
Division of Medicine, Akershus University Hospital, 1478 Lørenskog, Norway
4
Division of Research and Innovation, Akershus University Hospital, 1478 Lørenskog, Norway
5
Department of Medical Research, Bærum Hospital, Vestre Viken Hospital Trust, 3004 Drammen, Norway
6
Department of Cardiology, Aalborg University Hospital, 9100 Aalborg, Denmark
*
Author to whom correspondence should be addressed.
Nutrients 2020, 12(5), 1419; https://doi.org/10.3390/nu12051419
Submission received: 29 April 2020
/
Revised: 10 May 2020
/
Accepted: 12 May 2020
/
Published: 14 May 2020
(This article belongs to the Special Issue Polyunsaturated Fatty Acids Intake and Human Health)
Abstract
:Intake of industrially produced trans fatty acids (iTFAs) has previously been associated with dyslipidemia, insulin resistance, hypertension and inflammation, as well as increased cardiovascular (CV) morbidity and mortality. iTFA intake declined in Norway after the introduction of legislative bans against iTFA consumption. However, the relationship between the current iTFA intake and CV health is unclear. The aim of the present study was to investigate the association between current iTFA intake, reflected by plasma iTFA levels, and established CV risk factors. We also examined the associations between plasma ruminant TFA levels and CV risk factors. In this cross-sectional study, we included 3706 participants from a Norwegian general population, born in 1950 and residing in Akershus County, Norway. The statistical method was multivariable linear regression. Plasma iTFA levels were inversely associated with serum triglycerides (p < 0.001), fasting plasma glucose (p < 0.001), body mass index (p < 0.001), systolic and diastolic blood pressure (p = 0.001 and p = 0.03) and C-reactive protein (p = 0.001). Furthermore, high plasma iTFA levels were associated with higher education and less smoking and alcohol consumption. We found that plasma ruminant trans fatty acids (rTFA) levels were favorably associated with CV risk factors. Furthermore, plasma iTFA levels were inversely associated with CV risk factors. However, our results might have been driven by lifestyle factors. Overall, our findings suggest that the current low intake of iTFAs in Norway does not constitute a threat to CV health.
1. Introduction
Trans fatty acids (TFAs) are unsaturated fatty acids with at least one double bond in trans configuration [1]. The two major sources of TFAs are partially hydrogenated vegetable oils, found in various industrially prepared foods, and in dairy and meat products from ruminants [1]. Epidemiological studies have shown a strong association between intake of TFAs, predominantly industrial produced TFAs (iTFAs), and risk of cardiovascular (CV) disease [2]. The first major study was published in the early ‘90 s [3], followed by numerous studies consistently reporting harmful influence of iTFAs on CV health [4,5,6,7]. Therefore, the intake of iTFAs was considered a major public health problem, forcing governments around the world to take legislative action to reduce iTFA content in foods [8,9]. In addition, cooperative efforts by food industries, voluntarily excluding iTFA-rich products from their assortment and providing better food labelling for consumers, resulted in a further reduction of iTFA consumption [1]. In 2003, the World Health Organization recommended to limit the intake of iTFAs to <1% of overall energy consumption [10].
In Norway, the total TFA intake was approximately 5% of overall energy consumption during the late ‘50 s, gradually decreasing over the next decades, mainly due to reduction in the use of margarines [11]. A large Norwegian cohort study, including participants between 1974 and 1988, reported a positive association between consumption of iTFAs and CV death [12]. The mean intake of iTFAs was 0.9–1.6% of energy consumption during the study period. Since then, the impact of iTFAs on CV health has not been evaluated in a Norwegian general population.
There is an increased risk of CV disease even at low levels of iTFAs, and an intake of <0.5% of overall energy consumption might be necessary to avoid adverse effects [2]. Whether the current iTFA consumption correlates with established CV risk factors is not known. Moreover, as a consequence of reduced iTFA consumption, ruminant TFAs (rTFAs) are now the major TFAs in the daily Nordic diet [13], but the relationship between rTFAs and CV health has been less studied. Accordingly, in this study, the aim was to examine the associations between the current intake of iTFAs, reflected by plasma phospholipid levels [14], and CV risk factors in a middle-aged Norwegian community-acquired cohort. In addition, we examined the association between current rTFA intake and CV risk factors.
2. Materials and Methods
2.1. Study Cohort
The Akershus Cardiac Examination (ACE) 1950 Study is a collaborative project between Akershus University Hospital and Bærum Hospital, Vestre Viken Hospital Trust, Norway. It is a population-based cohort study aimed to examine CV health of individuals born in 1950 and residing in Akershus County, Norway. The study design has previously been presented in detail [15]. From a total of 5827 eligible individuals invited for participation, 3706 (64%) were enrolled in the study (Figure 1). The remaining 2121 (36%) declined participation or did not respond.
2.2. Study Variables
Participants were interviewed regarding medical history, diet, education, physical activity and smoking habits. Cerebrovascular and coronary artery disease were self-reported. Cerebrovascular disease was classified as history of stroke or cerebral hemorrhage, while coronary artery disease was defined as history of acute myocardial infarction or having undergone percutaneous coronary intervention or coronary artery bypass graft operation. Dietary data were self-reported and collected using a previously validated questionnaire [16], where the participant indicated type of dietary item and frequency of intake. Higher education was defined as >12 years of formal education, such as college or university education at any level. High physical activity was self-reported and defined as vigorous-intensity exercise for more than 30 min, at least twice weekly [17]. Smoking habits were recorded as either current smoker or previous/non-smoker. Alcohol consumption was recorded as intake of alcohol two times or more per week. We defined hypertension as current use of any anti-hypertensive medication, or as mean systolic blood pressure ≥140 mmHg or mean diastolic blood pressure ≥90 mmHg obtained from three measurements in sitting position after 10 min rest [18]. The World Health Organization criterion (body mass index [BMI, kg/m2] ≥30) was used to define obesity [19].
Blood samples were drawn after fasting overnight, immediately frozen and stored at −80 °C. We defined hypercholesterolemia as current use of any lipid-lowering agent or total serum cholesterol ≥6.2 mmol/L or low-density lipoprotein (LDL) cholesterol ≥4.1 mmol/L [20]. Diabetes mellitus (DM) was defined as current use of any glucose-lowering medication, self-reported DM or both fasting plasma glucose (FPG) ≥7.0 mmol/L and glycated hemoglobin (HbA1c) ≥6.5% [21]. The Chronic Kidney Disease Epidemiology Collaboration equation [22] was used to calculate estimated glomerular filtration rate (eGFR), and chronic kidney disease stages 3–5 were defined as eGFR <60 mL/min/1.73 m2. C-reactive protein (CRP) was measured using standard assay. Carotid intima-media thickness (cIMT) of the left and right common carotid arteries were assessed by ultrasound examination, and mean cIMT was obtained as previously described [23].
Samples of frozen plasma were sent to The Lipid Research Center, Aalborg University Hospital for phospholipid fatty acid determination by gas chromatography. We used modified Folch and Burge methods to extract total lipids from serum and to isolate the phospholipid fraction from other lipids [24]. A Varian 3900 gas chromatograph (Varian, Middleburg, The Netherlands) with 60 m × 0.25 mm capillary columns was used for fatty acids analysis. Individual fatty acids were identified and quantified as weight percentage (wt%) of total plasma phospholipid fatty acids. Fatty acid analysis was not performed in 23 participants because of inadequate plasma volume (Figure 1). We defined vaccenic acid and trans-conjugated-linoleic acid as rTFAs [25]. All other TFAs, such as trans-elaidic acid, 18:1d6-8t and 18:3ttt were defined as iTFAs.
2.3. Statistical Analysis
Quartiles of plasma iTFA levels were used for the presentation of clinical and demographic data. Results are given as mean values (standard deviations) for normally distributed data, median values (inter-quartile ranges) for skewed data (serum triglycerides, FPG, HbA1c and CRP) and percentages for categorical data. Differences between quartiles of plasma iTFA levels were examined by using ANOVA for normally distributed continuous variables, the Kruskal-Wallis test for skewed variables and Chi square test for binary data.
We evaluated associations between plasma iTFA and rTFA levels and CV risk factors with multivariable linear regression, after testing assumptions for linearity. Separate models were created for each CV risk factor to examine associations between industrial and ruminant TFAs and various CV risk factors individually. Adjustments were made with predefined candidate variables. The simultaneous entry method was used for all models. To obtain normal distribution, skewed variables such as triglycerides, FPG, HbA1c and CRP were logarithmically transformed. Thus, for these variables, the presented unstandardized regression coefficients (Unstd. β-coeff.) and corresponding 95% confidence intervals (CI) represent the anti-logarithm of acquired results. Unstd. β-coeff. with corresponding 95% CI, standardized regression coefficients (Std. β-coeff.), p-values and explained variance (R2) for the univariable models and fully adjusted final models are presented in the tables. Statistics were preformed using SPSS® version 25.0 (IBM, New York, NY, US) and STATA 16 (StataCorp LP, Texas, TX, USA).
2.4. Ethics
This study was performed according to the Declaration of Helsinki guidelines. Regional Ethics Committee for Medical and Health Research Ethics approved all procedures involving research study participants (September 7th, 2011. Reference number 2011/1475). Participants gave written informed consents before final enrolment.
3. Results
3.1. Demographics
Demographics and clinical characteristics of participants stratified according to quartiles of plasma iTFA levels are given in Table 1. Plasma iTFA levels ranged from 0.09 to 0.62 wt%, with a median level of 0.20 wt% (interquartile range 0.13 to 0.27 wt%) (Figure 2).
There was a higher proportion of females in the upper quartile of plasma iTFA levels. Using the lower quartile of plasma iTFA levels as reference, participants in the upper quartile were more educated, had a lower prevalence of smoking and consumed alcohol less often. Furthermore, participants in the upper quartile of plasma iTFA levels had a lower prevalence of comorbidities, such as hypertension, hypercholesterolemia, coronary artery disease, DM and obesity, and less use of antihypertensive, lipid-lowering and glucose-lowering drugs.
Demographics and clinical characteristics of participants stratified according to quartiles of plasma rTFA levels are presented in Supplementary Table S1. Plasma rTFA levels ranged from 0.14 to 2.87 wt%, with a median level of 1.60 wt% (interquartile range 1.30 to 1.90 wt%) (Figure 2). Using the lower quartile of plasma rTFA levels as reference, participants in the upper quartile had a higher consumption of margarine and butter, a higher prevalence of smoking and consumed alcohol more often. In addition, they had a lower prevalence of DM, but higher prevalence of coronary artery disease and used more lipid-lowering drugs.
3.2. Plasma iTFA Levels and CV Risk Factors
Unadjusted and multivariable adjusted associations between plasma iTFA levels and CV risk factors are presented in Table 2. High levels of plasma iTFAs were associated with lower serum triglycerides, FPG levels, BMI, systolic and diastolic blood pressure and CRP levels. We found no associations between plasma iTFA levels and serum high-density lipoprotein (HDL) or LDL cholesterol levels, HbA1c, eGFR or cIMT.
3.3. Plasma rTFA Levels and CV Risk Factors
Unadjusted and multivariable adjusted associations between plasma rTFA levels and CV risk factors are presented in Table 3. High levels of plasma rTFAs were associated with higher serum HDL and lower serum LDL cholesterol levels, serum triglycerides, FPG levels, HbA1c, BMI, systolic and diastolic blood pressure. We found no associations between plasma rTFA levels and eGFR, cIMT or CRP levels.
4. Discussion
The main finding in the present study was that plasma rTFA levels were favorably associated with CV risk factors. Furthermore, plasma iTFA levels were inversely associated with several risk factors for CV disease, such as serum triglycerides, FPG, BMI, systolic and diastolic blood pressure and CRP levels. These results are in apparent contrast to the established harmful effects of iTFA on CV health, and might have been confounded by lifestyle related factors. Our findings suggest that the current low intake of iTFAs in Norway does not constitute a threat to CV health.
4.1. Plasma iTFA Levels and CV Risk Factors
iTFAs are suggested to promote dyslipidemia, inflammation and endothelial dysfunction [26,27]. These adverse effects of iTFAs have been related to the trans double bonds, changing their configuration and chemical properties compared with their cis-isomers [28].
iTFAs have been used in the food industry since the 1950 s [29]. They were produced by partial hydrogenation of vegetable and fish oils, turning them into semi-solid fats that were cheap to produce, and with desirable physical properties like long shelf life and temperature stability [1]. Consequently, iTFAs were widely used in products like margarines, bakery products, crackers and deep-fried food [29]. The negative effects of iTFAs first became apparent from studies performed during the last few decades [2,3,30]. In a meta-analysis of four prospective studies, a 2% increase in energy intake from iTFAs was associated with a 23% increase in incident of CV disease [2]. From a nutritional standpoint, iTFAs were potentially harmful, and had no apparent health benefits. Consequently, several countries introduced legislation mandating the reduction of iTFA concentrations in foods [31], with Denmark being the first country to do so in 2003 [8]. Although the Norwegian iTFA-legislation was not passed before 2014 [31], the iTFA consumption was reduced shortly after the Danish legislation, mostly due to societal pressure and efforts by Regulatory Authorities and the Norwegian food industry [11]. In 2012, the dietary intake of total TFAs was <1% of total energy consumption in Norway [32].
We have previously shown a reduction in median plasma iTFA levels from 0.29 wt% in years 1999–2004 to 0.20 wt% in years 2005–2011 in a Norwegian population of kidney transplant recipients [33]. Similarly, the median plasma iTFA level was 0.20 wt% in the present study, suggesting a persistent low iTFA consumption in the Norwegian population. iTFAs have previously been associated with hypertriglyceridemia, insulin resistance, adiposity, hypertension and inflammation [26,34,35,36,37]. In contrast, we found inverse associations between plasma iTFA levels and serum triglycerides, FPG, BMI, systolic and diastolic blood pressure and CRP levels. In addition, the highest levels of plasma iTFAs were found in participants with high education, a healthy lifestyle with less fast food consumption, and lower prevalence of comorbidities.
These findings were unexpected and seemingly paradoxical. The detrimental effects of iTFAs are scientifically established, thus, the biological plausibility of high iTFA intake being beneficial to CV health seems highly unlikely. In Norway, potential sources of iTFAs might be consumption of imported food products that still contain high levels of iTFAs [38], or traveling to destinations with less restrictive or no iTFA-bans. However, we do not have data to support these assumptions, and the reasons for these findings remain to be elucidated. It is worth noticing that our results are characterized by small regression coefficients, signaling no associations between plasma iTFA levels and CV risk factors, rather than an inverse relationship. Our findings suggest that the low levels of plasma iTFAs observed in this cohort are perhaps no longer of clinical relevance, and that the inverse associations between plasma iTFA levels and CV risk factors might have been confounded by factors related to healthy lifestyle, not fully adjusted for in the regression analyses.
4.2. Plasma rTFA Levels and CV Risk Factors
Reduction in iTFA consumption has not affected the rTFA intake, at least not in Scandinavian countries, where the intake has been relative constant since the 1990 s [39,40]. Epidemiological studies have reported a nonsignificant trend towards an inverse association between rTFA intake and risk of CV disease [3,5]. Reasons for these findings are unclear, but might be related to different biological properties of rTFAs compared to iTFAs, or the presence of other substances in dairy and meat products that might be protective against CV disease [1].
A moderate intake of rTFAs has resulted in a favorable lipid profile, with higher serum HDL and lower serum LDL cholesterol levels, in clinical trials [41]. However, a high intake of rTFAs increase serum LDL cholesterol levels [41]. In this study, plasma rTFA levels were positively associated with serum HDL cholesterol levels and inversely associated with serum LDL cholesterol levels and serum triglycerides. These findings indicate favorable relationships between high rTFA intake and blood lipids. However, participants in the upper quartile of plasma rTFA levels used more lipid-lowering drugs, which might have confounded the association between plasma rTFA levels and serum LDL cholesterol levels.
We also found inverse associations between plasma rTFA levels and FPG levels and HbA1c. In addition, participants with the highest plasma rTFA levels had a lower prevalence of DM, a finding in line with previous epidemiological studies reporting an inverse association between rTFA intake and incident DM [42,43]. Suggested mechanisms for this observation are rTFA-mediated increased insulin sensitivity and skeletal muscle glucose-uptake [42]. However, in clinical trials, diet rich in vaccenic acid, the major rTFA, has not shown any effect on fasting insulin or glucose [44]. Thus, the relationship between rTFA intake and glucose metabolism remains unclear. Finally, we found inverse associations between plasma rTFA levels and BMI and blood pressure. Epidemiological data on rTFA intake and BMI are inconclusive [45,46], and no effect of rTFAs consumption on blood pressure has been seen in clinical trials [47]. Interestingly, participants in the upper quartile of plasma rTFA levels had an overall unhealthier lifestyle with higher consumption of margarine and butter, higher prevalence of smoking and alcohol consumption. This might have contributed to the higher prevalence of coronary artery disease among these participants.
We found overall favorable associations between plasma rTFA levels and CV risk factors. However, similar to plasma iTFAs levels, the demonstrated associations to CV risk factors were weak, although statistically significant.
4.3. iTFA Legislation and Global Aspects
In this paper we briefly summarize the iTFA story in Norway, with a snapshot of the current status, characterized by a low iTFA intake that is unlikely to increase in the future. As pointed out by Brouwer et al. in the article “Trans fatty acids and cardiovascular health: research completed?”, due to well documented detrimental effects the use of iTFAs is nearly eliminated in many countries and unlikely to be brought back into the food industry [48]. Unfortunately, there are still large regions worldwide, such as North America and the Middle East, where the consumption of iTFAs by far exceeds the recommendations given by the World Health Organization [49,50], reasons for this being ineffective strategies for voluntary iTFA reduction in foods and the lack of legislative iTFA bans [31]. In a recent publication, Wilczek et al. expresses the urgent need for such legislative action due to alarmingly high iTFA consumption in Eastern and South-Eastern Europe [29]. It is estimated that the Danish policy against iTFA reduced CV disease mortality by 14.2 deaths per 100,000-person years on average in the period 2004–2006 [51]. We hope that such findings, as well as our own, can inspire governments in countries with a high iTFA intake to implement measures that can effectively reduce the iTFA consumption.
4.4. Strengths and Limitations
The present study has several strengths, including a well-described large study population with little missing data. All the study participants were born in 1950, removing age as possible confounding element. In addition, plasma phospholipid TFA levels were determined by gas chromatography, giving an estimate of TFA intake [14]. One of the main limitations is the cross-sectional study design. We do not have dietary data to determine the absolute iTFA or rTFA intake. Reverse causality bias cannot be ruled out. Furthermore, the influence of residual confounding on the associations between plasma iTFA and rTFA levels and CV risk factors cannot be excluded, despite adjustments for covariates. Finally, our result might have limited generalizability to other age groups and ethnicities.
5. Conclusions
In this cross-sectional study of Norwegian individuals born in 1950, plasma rTFA and iTFA levels were favorably associated with CV risk factors. Plasma iTFA levels were low, and the weak associations to CV risk factors might have been confounded by factors related to a healthy lifestyle, such as less smoking and alcohol consumption and a higher educational level. Overall, our findings suggest that the current low intake of iTFAs in Norway no longer poses a threat to CV health.
Supplementary Materials
Available online at https://www.mdpi.com/2072-6643/12/5/1419/s1, Table S1: Characteristics of study participants according to quartiles of ruminant trans fatty acid levels.
Author Contributions
A.C., M.N.L., I.A.E. and M.S. designed the present study. H.R., T.O., M.N.L., T.B. and A.T. organized and designed the ACE 1950 Study, including data collection and baseline examinations. T.V., H.I.-H., E.B.O. and O.M.R. performed ultrasound of the carotid arteries and baseline examinations. E.B.S. was responsible for analyses of fatty acids. A.C. and M.N.L. carried out the data analysis. A.C., M.N.L., I.A.E., T.O. and M.S. edited the manuscript, E.B.S., H.R., T.V., H.I.-H., E.B.O., O.M.R., T.B. and A.T. co-edited the manuscript. The final manuscript was approved by all the authors. A.C. submitted the final manuscript. All authors have read and agreed to the published version of the manuscript.
Funding
The ACE 1950 Study received funding from Akershus University Hospital HF, Vestre Viken HF, the South-Eastern Norway Regional Health Authority, University of Oslo, and the Norwegian Health Association. A.C received grants from Akershus University Hospital.
Acknowledgments
We thank our colleagues at the Clinical Trial Unit, Division of Medicine, Akershus University Hospital, and the Department of Medical Research, Bærum Hospital. We acknowledge our colleagues at The Lipid Research Laboratory, Aalborg University Hospital, Denmark. We are grateful to all the participants.
Conflicts of Interest
The authors have no conflict of interest to declare. Funders were not involved in organizing the study; collecting, analyzing, or interpreting the data; preparing the manuscript; or in the decision to publish the final results. Findings in the present study are unpublished and are not under consideration for publication elsewhere.
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Figure 1.
Flowchart for inclusion of study participants.
Figure 2.
Distribution of industrial and ruminant trans fatty acids measured in weight percentage (wt%) of total plasma phospholipid fatty acids.
Figure 2.
Distribution of industrial and ruminant trans fatty acids measured in weight percentage (wt%) of total plasma phospholipid fatty acids.
Table 1.
Characteristics of participants according to quartiles of industrial trans fatty acid levels.
Table 1.
Characteristics of participants according to quartiles of industrial trans fatty acid levels.
| All Participants | Quartile 1 | Quartile 2 | Quartile 3 | Quartile 4 | p for Trend | p for Q1 vs. Q4 | |
|---|---|---|---|---|---|---|---|
| Industrial trans fatty acid level, wt% | 0.09–0.62 | ≤0.17 | 0.18–0.20 | 0.21–0.24 | ≥0.25 | ||
| Number of participants | 3683 | 1025 | 886 | 893 | 879 | ||
| Age, years | 63.9 (0.6) | 63.8 (0.6) | 63.9 (0.7) | 63.9 (0.7) | 64.0 (0.7) | <0.001 | <0.001 |
| Sex (Male), % | 51.3 (n = 1890) | 59.1 (n = 606) | 54.1 (n = 479) | 48.7 (n = 435) | 42.1 (n = 370) | <0.001 | <0.001 |
| Weekly intake of milk, 1 glass or more, % | 56.5 (n = 2042) | 55.4 (n = 560) | 55.2 (n = 476) | 58.0 (n = 508) | 57.6 (n = 498) | 0.52 | 0.34 |
| Use butter or margarine in cooking, % | 50.4 (n = 1782) | 50.1 (n = 496) | 51.8 (n = 441) | 50.6 (n = 431) | 48.9 (n = 414) | 0.68 | 0.61 |
| Use oil in cooking, % | 48.2 (n = 1706) | 48.6 (n = 481) | 46.1 (n = 392) | 48.3 (n = 411) | 49.8 (n = 422) | 0.47 | 0.60 |
| Weekly intake of fast food, once or more, % | 18.1 (n = 651) | 20.7 (n = 208) | 18.2 (n = 157) | 18.9 (n = 165) | 14.0 (n = 121) | 0.002 | <0.001 |
| Current smoker, % | 14.5 (n = 530) | 16.7 (n = 171) | 14.9 (n = 131) | 13.1 (n = 115) | 13.0 (n = 113) | 0.06 | 0.02 |
| Alcohol consumption, (≥2 times weekly), % | 47.4 (n = 1739) | 55.4 (n = 568) | 50.0 (n = 440) | 43.6 (n = 388) | 39.2 (n = 343) | <0.001 | <0.001 |
| Alcohol consumption, >5 units at same occasion, % | 46.6 (n = 1701) | 56.4 (n = 576) | 49.1 (431) | 43.5 (n = 383) | 35.9 (n = 311) | <0.001 | <0.001 |
| Physical activity (≥2 times weekly), % | 61.7 (n = 2240) | 59.1 (n = 600) | 61.5 (n = 536) | 63.4 (n = 554) | 63.4 (n = 550) | 0.17 | 0.06 |
| Higher education, % | 46.5 (n = 1708) | 39.0 (n = 399) | 48.6 (n = 429) | 48.8 (n = 435) | 50.7 (n = 445) | <0.001 | <0.001 |
| Hypertension, % | 62.0 (n = 2282) | 70.5 (n = 723) | 60.2 (n = 549) | 59.6 (n = 532) | 54.4 (n = 478) | <0.001 | <0.001 |
| Hypercholesterolemia, % | 52.6 (n = 1931) | 57.3 (n = 584) | 50.5 (n = 446) | 54.4 (n = 485) | 47.4 (n = 416) | <0.001 | <0.001 |
| Cerebrovascular disease, % | 3.7 (n = 138) | 3.2 (n = 33) | 3.3 (n = 29) | 4.7 (n = 42) | 3.9 (n = 34) | 0.30 | 0.44 |
| Coronary artery disease, % | 7.0 (n = 259) | 9.7 (n = 99) | 6.9 (n = 61) | 6.2 (n = 55) | 5.0 (n = 44) | 0.001 | <0.001 |
| Diabetes mellitus, % | 8.5 (n = 313) | 12.9 (n = 132) | 7.8 (n = 69) | 6.7 (n = 60) | 5.9 (n = 52) | <0.001 | <0.001 |
| Obesity (BMI ≥ 30), % | 22.6 (n = 831) | 27.7 (n = 284) | 21.3 (n = 189) | 23.2 (n = 207) | 17.2 (n = 151) | <0.001 | <0.001 |
| CKD stages 3–5 (eGFR <60 mL/min × 1.73 m2), % | 3.9 (n = 142) | 3.9 (n = 40) | 2.6 (n = 23) | 3.7 (n = 33) | 5.3 (n = 46) | 0.04 | 0.16 |
| Medication, % | |||||||
| Diuretics | 3.1 | 5.0 | 2.3 | 2.5 | 2.3 | 0.001 | <0.001 |
| Beta blockers | 13.4 | 18.6 | 13.7 | 10.8 | 9.6 | <0.001 | <0.001 |
| Calcium-channel blockers | 8.1 | 10.7 | 9.0 | 6.7 | 5.7 | <0.001 | <0.001 |
| ACEi or ARB | 26.9 | 34.2 | 26.5 | 24.3 | 21.5 | <0.001 | <0.001 |
| Lipid-lowering drugs | 26.1 | 31.4 | 27.3 | 24.3 | 20.7 | <0.001 | <0.001 |
| Glucose-lowering drugs | 5.4 | 7.6 | 5.4 | 4.6 | 3.6 | <0.001 | <0.001 |
| Systolic blood pressure, mmHg | 138 (19) | 140 (19) | 138 (19) | 137 (19) | 136 (18) | <0.001 | <0.001 |
| Diastolic blood pressure, mmHg | 77 (10) | 78 (10) | 77 (10) | 77 (10) | 76 (10) | <0.001 | <0.001 |
| HDL cholesterol, mmol/L | 1.5 (0.5) | 1.5 (0.5) | 1.5 (0.5) | 1.6 (0.5) | 1.6 (0.5) | <0.001 | <0.001 |
| LDL cholesterol, mmol/L | 3.3 (1.0) | 3.3 (1.0) | 3.2 (1.0) | 3.4 (1.0) | 3.3 (1.0) | 0.01 | 0.22 |
| Triglycerides, mmol/L | 1.2 (0.4–2–0) | 1.4 (0.5–2.3) | 1.2 (0.3–2.1) | 1.1 (0.4–1.8) | 1.0 (0.3–1.7) | <0.001 | <0.001 |
| FPG, mmol/L | 5.3 (4.5–6.1) | 5.4 (4.5–6.3) | 5.3 (4.5–6.1) | 5.2 (4.4–6.0) | 5.2 (4.4–6.0) | <0.001 | <0.001 |
| HbA1c, % | 5.7 (5.3–6.1) | 5.7 (5.2–6.2) | 5.7 (5.3–6.1) | 5.7 (5.3–6.1) | 5.7 (5.3–6.1) | 0.004 | 0.002 |
| Body mass index (BMI), kg/m2 | 27.1 (4.4) | 28.0 (4.4) | 27.2 (4.3) | 27.0 (4.5) | 26.2 (4.3) | <0.001 | <0.001 |
| eGFR, ml/min × 1.73m2 | 83 (11.9) | 83 (12.2) | 84 (11.4) | 83 (11.7) | 83 (12.4) | 0.18 | 0.14 |
| cIMT, mm | 0.73 (0.1) | 0.73 (0.1) | 0.73 (0.1) | 0.73 (0.1) | 0.72 (0.1) | 0.52 | 0.17 |
| CRP, mg/L | 1.5 (1.4–1.6) | 1.5 (1.4–1.6) | 1.5 (1.4–1.6) | 1.5 (1.4–1.6) | 1.5 (1.4–1.6) | - | - |
| Marine n-3 PUFAs, wt% | 8.1 (2.6) | 8.2 (2.8) | 8.2 (2.7) | 8.0 (2.5) | 7.9 (2.5) | 0.08 | 0.03 |
| LA, wt% | 20.8 (3.0) | 20.1 (3.0) | 20.6 (2.9) | 21.1 (2.8) | 21.4 (2.9) | <0.001 | <0.001 |
| AA, wt% | 9.2 (2.0) | 9.5 (2.1) | 9.3 (2.1) | 9.2 (2.0) | 8.9 (2.0) | <0.001 | <0.001 |
| SFA, wt% | 42.4 (0.9) | 42.8 (0.8) | 42.5 (0.8) | 42.3 (0.7) | 42.0 (0.9) | <0.001 | <0.001 |
| MUFA, wt% | 10.3 (1.4) | 10.3 (1.5) | 10.3 (1.4) | 10.2 (1.4) | 10.3 (1.3) | 0.17 | 0.84 |
Results are given as mean values (standard deviation) for continuous data, median values (inter-quartile ranges) for skewed data and percentages for categorical data. Differences between the quartiles were evaluated using Chi square for binary data, the Kruskal-Wallis test for triglycerides, FPG, HbA1c and CRP, and ANOVA for other continuous data. Fatty acids are given as weight percentage (wt%) of total plasma phospholipid fatty acids. Abbreviations: BMI: Body mass index. CKD: Chronic kidney disease. eGFR: Estimated glomerular filtration rate (CKD-EPI formula). ACEi: Angiotensin converting enzyme inhibitor. ARB: Angiotensin receptor blocker. HDL: High density lipoprotein. LDL: Low density lipoproteins. FPG: Fasting plasma glucose. HbA1c: Hemoglobin A1c. cIMT: Carotid intima-media thickness. CRP: C-reactive protein. PUFA: Polyunsaturated fatty acids. LA: Linoleic acid. AA: Arachidonic acid. SFA: Saturated fatty acids. MUFA: Monounsaturated fatty acids.
Table 2.
Associations between plasma industrial trans fatty acid levels and cardiovascular risk factors.
Table 2.
Associations between plasma industrial trans fatty acid levels and cardiovascular risk factors.
| Univariable Linear Regression Analysis | |||||
| Cardiovascular Risk Factors | n | Unstd. β-coeff. (95% CI) | Std. β-coeff. | p | R2 |
| HDL cholesterol, mmol/L | 3680 | 1.02 (0.72, 1.32) | 0.11 | <0.001 | 0.01 |
| LDL cholesterol, mmol/L | 3657 | 0.55 (−0.05, 1.15) | 0.03 | 0.07 | 0.001 |
| Triglycerides, mmol/L | 3680 | −7.89 (−10.57, −5.89) | −0.22 | <0.001 | 0.05 |
| FPG, mmol/L | 3675 | −1.62 (−1.81, −1.47) | −0.15 | <0.001 | 0.02 |
| HbA1c, % | 3669 | −1.13 (−1.21, −1.06) | −0.07 | <0.001 | 0.004 |
| BMI, kg/m2 | 3683 | −13.50 (−16.23, −10.78) | −0.16 | <0.001 | 0.03 |
| SBP | 3679 | −30.09 (−41.77, −18.42) | −0.08 | <0.001 | 0.01 |
| DBP | 3679 | −16.45 (−22.70, −10.20) | −0.09 | <0.001 | 0.01 |
| eGFR, mL/min × 1.73m2 | 3664 | −5.43 (−12.90, 2.04) | −0.02 | 0.15 | 0.00 |
| cIMT, mm | 3661 | −0.07 (−0.14, 0.004) | −0.03 | 0.07 | 0.001 |
| CRP, mg/L | 3669 | −3.26 (−4.90, −2.14) | −0.09 | <0.001 | 0.01 |
| Multivariable Linear Regression Analysis | |||||
| Cardiovascular Risk Factors | n | Unstd. β-coeff. (95% CI) | Std. β-coeff. | p | R2 |
| HDL cholesterol, mmol/L a | 3640 | 0.20 (−0.06, 0.46) | 0.02 | 0.14 | 0.30 |
| LDL cholesterol, mmol/L b | 3617 | −0.44 (−0.97, 0.10) | −0.02 | 0.11 | 0.27 |
| Triglycerides, mmol/L c | 3640 | −4.19 (−5.52, −3.17) | −0.15 | <0.001 | 0.21 |
| FPG, mmol/L d | 3636 | −1.19 (−1.29, −1.09) | −0.05 | <0.001 | 0.39 |
| HbA1c, % e | 3630 | −1.01 (−1.06, 1.04) | −0.004 | 0.77 | 0.38 |
| BMI, kg/m2 f | 3612 | −11.22 (−13.90, −8.53) | −0.13 | <0.001 | 0.12 |
| SBP g | 3640 | −20.62 (−32.53, −8.72) | −0.06 | 0.001 | 0.03 |
| DBP h | 3640 | −6.68 (−12.80, −0.57) | −0.03 | 0.03 | 0.12 |
| eGFR, mL/min × 1.73m2 i | 3624 | −3.08 (−10.80, 4.61) | −0.01 | 0.43 | 0.03 |
| cIMT, mm j | 3625 | 0.04 (−0.03, 0.11) | 0.02 | 0.27 | 0.05 |
| CRP, mg/L k | 3629 | −2.07 (−3.14, −1.37) | −0.06 | 0.001 | 0.07 |
a Sex, smoking, alcohol consumption, DM, BMI, lipid lowering drugs. b Sex, smoking, alcohol consumption, DM, BMI, lipid lowering drugs. c Sex, smoking, alcohol consumption, DM, BMI, lipid lowering drugs. d Sex, smoking, alcohol consumption, BMI, glucose-lowering drugs. e Sex, smoking, alcohol consumption, BMI, glucose-lowering drugs. f Sex, smoking, alcohol consumption, DM, physical activity, higher education. g Sex, smoking, alcohol consumption, DM, BMI. h Sex, smoking, alcohol consumption, DM, BMI. i Sex, smoking, alcohol consumption, DM, BMI, hypertension. j Sex, smoking, alcohol consumption, DM, BMI, lipid lowering drugs, hypertension. k Sex, smoking, alcohol consumption, DM, BMI. Unstandardized β coefficients (Unstd. β-coeff.) with corresponding 95% confidence intervals (CI), standardized β coefficients (Std. β-coeff.), p-values and explained variance (R2) are given for plasma industrial trans fatty acid levels in univariable analysis and the fully adjusted multivariable models. Abbreviations: BMI: Body mass index. cIMT: Carotid intima-media thickness. CRP: C-reactive protein. DBP: Diastolic blood pressure. DM: Diabetes mellitus. eGFR: Estimated glomerular filtration rate. FPG: Fasting plasma glucose. HbA1c: Hemoglobin A1c. HDL: High-density lipoprotein. LDL: Low-density lipoprotein. SBP: Systolic blood pressure.
Table 3.
Associations between plasma ruminant trans fatty acid levels and cardiovascular risk factors.
Table 3.
Associations between plasma ruminant trans fatty acid levels and cardiovascular risk factors.
| Univariable Linear Regression Analysis | |||||
| Cardiovascular Risk Factors | n | Unstd. β-coeff. (95% CI) | Std. β-coeff. | p | R2 |
| HDL cholesterol, mmol/L a | 3680 | 0.25 (0.18, 0.32) | 0.12 | <0.001 | 0.01 |
| LDL cholesterol, mmol/L b | 3657 | −0.62 (−0.76, −0.49) | −0.15 | <0.001 | 0.02 |
| Triglycerides, mmol/L c | 3680 | −1.51 (−1.61, −1.41) | −0.20 | <0.001 | 0.04 |
| FPG, mmol/L d | 3675 | −1.11 (−1.14, −1.08) | −0.14 | <0.001 | 0.02 |
| HbA1c, % e | 3669 | −1.08 (−1.10, −1.07) | −0.19 | <0.001 | 0.04 |
| BMI, kg/m2 f | 3683 | −2.60 (−3.21, −1.99) | −0.14 | <0.001 | 0.02 |
| SBP g | 3679 | −5.14 (−7.75, −2.53) | −0.06 | <0.001 | 0.004 |
| DBP h | 3679 | −3.40 (−4.80, −2.01) | −0.08 | <0.001 | 0.01 |
| eGFR, mL/min × 1.73m2 i | 3664 | −0.01 (−1.68, 1.66) | 0.00 | 0.99 | 0.00 |
| cIMT, mm j | 3661 | −0.002 (−0.02, 0.01) | −0.004 | 0.83 | 0.00 |
| CRP, mg/L k | 3669 | −1.12 (−1.23, −1.02) | −0.04 | 0.01 | 0.001 |
| Multivariable Linear Regression Analysis | |||||
| Cardiovascular Risk Factors | n | Unstd. β-coeff. (95% CI) | Std. β-coeff. | p | R2 |
| HDL cholesterol, mmol/L a | 3640 | 0.16 (0.10, 0.22) | 0.08 | <0.001 | 0.27 |
| LDL cholesterol, mmol/L b | 3617 | −0.42 (−0.54, −0.30) | −0.10 | <0.001 | 0.28 |
| Triglycerides, mmol/L c | 3640 | −1.37 (−1.46, −1.29) | −0.15 | <0.001 | 0.21 |
| FPG, mmol/L d | 3636 | −1.06 (−1.08, −1.04) | −0.08 | <0.001 | 0.39 |
| HbA1c, % e | 3630 | −1.06 (−1.07, −1.04) | −0.13 | <0.001 | 0.39 |
| BMI, kg/m2 f | 3612 | −1.96 (−2.55, −1.37) | −0.10 | <0.001 | 0.10 |
| SBP g | 3640 | −3.31 (−5.92, −0.69) | −0.04 | 0.01 | 0.03 |
| DBP g | 3640 | −2.98 (−4.32, −1.64) | −0.07 | <0.001 | 0.12 |
| eGFR, mL/min × 1.73m2 i | 3624 | −0.83 (−2.52, 0.85) | −0.02 | 0.33 | 0.03 |
| cIMT, mm j | 3625 | 0.01 (−0.01, 0.02) | 0.01 | 0.56 | 0.05 |
| CRP, mg/L k | 3629 | −1.03 (−1.12, 1.04) | −0.01 | 0.49 | 0.07 |
a Sex, smoking, alcohol consumption, DM, BMI, lipid lowering drugs. b Sex, smoking, alcohol consumption, DM, BMI, lipid lowering drugs. c Sex, smoking, alcohol consumption, DM, BMI, lipid lowering drugs. d Sex, smoking, alcohol consumption, BMI, glucose-lowering drugs. e Sex, smoking, alcohol consumption, BMI, glucose-lowering drugs. f Sex, smoking, alcohol consumption, DM, physical activity, higher education. g Sex, smoking, alcohol consumption, DM, BMI. h Sex, smoking, alcohol consumption, DM, BMI. i Sex, smoking, alcohol consumption, DM, BMI, hypertension. j Sex, smoking, alcohol consumption, DM, BMI, lipid lowering drugs, hypertension. k Sex, smoking, alcohol consumption, DM, BMI. Unstandardized β coefficients (Unstd. β-coeff.) with corresponding 95% confidence intervals (CI), standardized β coefficients (Std. β-coeff.), p-values and explained variance (R2) are given for plasma ruminant trans fatty acid levels in univariable analysis and the fully adjusted multivariable models. Abbreviations: BMI: Body mass index. cIMT: Carotid intima-media thickness. CRP: C-reactive protein. DBP: Diastolic blood pressure. DM: Diabetes mellitus. eGFR: Estimated glomerular filtration rate. FPG: Fasting plasma glucose. HbA1c: Hemoglobin A1c. HDL: High-density lipoprotein. LDL: Low-density lipoprotein. SBP: Systolic blood pressure.
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Chandra, A.; Lyngbakken, M.N.; Eide, I.A.; Røsjø, H.; Vigen, T.; Ihle-Hansen, H.; Orstad, E.B.; Rønning, O.M.; Berge, T.; Schmidt, E.B.; et al. Plasma Trans Fatty Acid Levels, Cardiovascular Risk Factors and Lifestyle: Results from the Akershus Cardiac Examination 1950 Study. Nutrients 2020, 12, 1419. https://doi.org/10.3390/nu12051419
AMA Style
Chandra A, Lyngbakken MN, Eide IA, Røsjø H, Vigen T, Ihle-Hansen H, Orstad EB, Rønning OM, Berge T, Schmidt EB, et al. Plasma Trans Fatty Acid Levels, Cardiovascular Risk Factors and Lifestyle: Results from the Akershus Cardiac Examination 1950 Study. Nutrients. 2020; 12(5):1419. https://doi.org/10.3390/nu12051419
Chicago/Turabian StyleChandra, Anupam, Magnus Nakrem Lyngbakken, Ivar Anders Eide, Helge Røsjø, Thea Vigen, Håkon Ihle-Hansen, Eivind Bjørkan Orstad, Ole Morten Rønning, Trygve Berge, Erik Berg Schmidt, and et al. 2020. "Plasma Trans Fatty Acid Levels, Cardiovascular Risk Factors and Lifestyle: Results from the Akershus Cardiac Examination 1950 Study" Nutrients 12, no. 5: 1419. https://doi.org/10.3390/nu12051419
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