scholarly journals How dietary patterns affect left ventricular structure, function and remodelling: evidence from the Kardiovize Brno 2030 study

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Andrea Maugeri ◽  
Jana Hruskova ◽  
Juraj Jakubik ◽  
Ota Hlinomaz ◽  
Jose R. Medina-Inojosa ◽  
...  
Keyword(s):  
Structure Function ◽  
Dietary Patterns ◽  
Dietary Pattern ◽  
Principal Component ◽  
Cross Sectional Study ◽  
Left Ventricular ◽  
Cross Sectional ◽  
Geometric Patterns ◽  
High Adherence ◽  
Echocardiographic Parameters

AbstractLittle is still known about the effect of dietary patterns on left ventricular hypertrophy (LVH). Here, we derived dietary patterns by principal component analysis (PCA) and evaluated their association with LV structure, function, and remodelling. Our cross-sectional study included 438 members (aged 25–65 years; 59.1% women) of the Kardiovize Brno 2030 with no history of cardiovascular disease. Two dietary patterns were derived using PCA, namely prudent and western. Primary outcomes were echocardiographic parameters and LV geometric patterns, such as concentric LV remodelling (cLVR), concentric LVH (cLVH), and eccentric LVH (eLVH). Interestingly, participants with high adherence to the prudent dietary pattern had decreased odds of cLVH after adjustment for socio-demographic, clinical and behavioral covariates (OR = 0.24, 95% CI = 0.08–0.88; p = 0.031). By contrast, several echocardiographic parameters increased with increasing adherence to the western dietary pattern, which resulted in higher odds of cLVH among participants with high adherence (OR = 5.38, 95% CI = 1.17–23.58; p = 0.035). Although our findings may have an immediate relevance for public-health strategies, further large-size prospective studies should be encouraged to better understand the observed association and their causality.

scholarly journals Association of Dietary Patterns with Metabolic Syndrome: Results from the Kardiovize Brno 2030 Study

Nutrients ◽  
2018 ◽  
Vol 10 (7) ◽  
pp. 898 ◽  
Author(s):  
Antonella Agodi ◽  
Andrea Maugeri ◽  
Sarka Kunzova ◽  
Ondrej Sochor ◽  
Hana Bauerova ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Dietary Patterns ◽  
Dietary Pattern ◽  
International Diabetes Federation ◽  
Principal Component ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
Western Dietary Pattern ◽  
High Adherence

Although metabolic syndrome (MetS) could be handled by lifestyle interventions, its relationship with dietary patterns remains unclear in populations from Central Europe. Using data from the Kardiovize Brno cohort, the present study aims to identify the main dietary patterns and to evaluate their association with MetS risk in a random urban sample from Brno, Czech Republic. In a cross-sectional study of 1934 subjects aged 25–65 years (44.3% male), dietary patterns were derived by food frequency questionnaire (FFQ) administration and principal component analysis. Metabolic syndrome was defined according to the International Diabetes Federation statement. Logistic regression models were applied. High adherence to the prudent dietary pattern was associated with lower odds of abdominal obesity, abnormal glucose concentration, and MetS. By contrast, high adherence to the western dietary pattern was associated with higher odds of abnormal glucose, triglycerides and blood pressure levels. Whilst our results confirm the deleterious effect of a western dietary pattern on several metabolic risk factors, they also indicate that the consumption of a diet rich in cereals, fish, fruit and vegetables is associated with a healthier metabolic profile. However, further prospective research is warranted to develop and validate novel potential preventive strategies against MetS and its complications.

scholarly journals Diets High in Vegetables, Fruits, Cereals, and Tubers as a Protective Factor for Metabolic Syndrome in Bank Employees (P08-048-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Monica Cattafesta ◽  
Luciane Salaroli
Keyword(s):  
Metabolic Syndrome ◽  
Dietary Patterns ◽  
Dietary Pattern ◽  
Protective Factor ◽  
Principal Component ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Metabolic Complications ◽  
The Third ◽  
Bank Employees

Abstract Objectives Evaluate the association of dietary patterns in bank employees with the presence of metabolic syndrome (MetS), considering sociodemographic and behavioral factors as well as laboratory tests. Methods This was a cross-sectional study of 515 bankers in Brazil. Sociodemographic, occupational, behavioral, and food consumption data were collected. Dietary patterns were determined by principal component analysis with orthogonal varimax rotation. Results The dietary pattern of vegetables, fruits, cereals, and tubers was correlated with the presence of MetS and with waist circumference (WC) measurements and triglyceride (TG) levels. Individuals who adhered less well this pattern had a higher WC (93 ± 17 cm in the first quintile vs 87 ± 19 cm in the fifth quintile, P = 0.001; and 93 ± 17 cm in the first quintile vs 84 ± 18 cm in the third quintile, P = 0.019), as well as a higher level of blood TG (121 ± 71 mg/dL in the first quintile vs 111 ± 72 mg/dL in the fifth quintile, P = 0.003). Individuals in the third and fifth quintiles of the pattern “vegetables, fruits, cereals, and tubers” presented with 3.28 and 2.24 times less chances of MetS when compared to individuals in the first quintile of this dietary pattern (OR 0.30, 95% CI 0.13–0.67, and OR 0.44, 95% CI 0.21–0.92, respectively). Subjects over 45 years of age were almost twice as likely to develop MetS (OR 1.95, 95% CI 1.01–3.77). Conclusions Healthy eating represented by the dietary pattern “vegetables, fruits, cereals, and tubers” was associated with better health among bank employees, especially when evaluating competing metabolic complications such as MetS. Funding Sources Foundation for Support to Research and Innovation of Espírito Santo (FAPES). Supporting Tables, Images and/or Graphs

scholarly journals Associations Between Dietary Patterns and Sleep-Related Impairment in a Cohort of Community Physicians: A Cross-sectional Study

2019 ◽  
pp. 155982761987192
Author(s):  
Maryam S. Hamidi ◽  
Tait D. Shanafelt ◽  
Andrea Hausel ◽  
Bryan D. Bohman ◽  
Rachel Roberts ◽  
...  
Keyword(s):  
Dietary Patterns ◽  
Dietary Pattern ◽  
Work Performance ◽  
Dietary Habits ◽  
Saturated Fat ◽  
Principal Component ◽  
Cross Sectional Study ◽  
High Protein ◽  
Sectional Study ◽  
Cross Sectional

There is increasing evidence that diet can mitigate fatigue. The objective of this study was to assess the associations between dietary habits and sleep-related impairment (SRI) in a cohort of community physicians. In this cross-sectional study, we analyzed data from 245 physicians who had completed a wellness survey in March 2016 (98% response rate). Three dietary patterns were derived using principal component analysis: plant based, high protein, and high saturated fat and sugar. In the adjusted analysis, every SD increase in the plant-based dietary pattern score was associated with a 0.71-point decrease ( β = −0.72; SE = 0.32; P = .027; 95% CI = −1.35 to −0.08) in the SRI score, and every SD increase in the high saturated fat and sugar dietary pattern score was associated with a 0.77-point increase ( β = 0.77; SE = 0.32; P = .015; 95% CI = 0.15 to 1.39) in the SRI score. There were no associations between high protein diets and SRI scores. Physicians adhering to diets that are high in plant-based foods and low in saturated fat and added sugars had less SRI. Physicians currently face significant barriers to maintaining a healthy diet. This study highlights the potential role of workplace nutrition on SRI and work performance of physicians.

scholarly journals Association between screen time and dietary patterns and overweight/obesity among adolescents

2017 ◽  
Vol 30 (3) ◽  
pp. 377-389 ◽  
Author(s):  
Maria Gabriela Matias de PINHO ◽  
Fernando ADAMI ◽  
Jucemar BENEDET ◽  
Francisco de Assis Guedes de VASCONCELOS
Keyword(s):  
Dietary Patterns ◽  
Dietary Pattern ◽  
Screen Time ◽  
Dairy Products ◽  
Principal Component ◽  
Cross Sectional Study ◽  
Chocolate Milk ◽  
Obesity Prevalence ◽  
Chi Square ◽  
Cross Sectional

ABSTRACT Objective The association between screen time and dietary patterns and overweight/obesity among adolescents was analysed in this study. Methods In this cross-sectional study, 963 Brazilian adolescents, aged between 11 and 14 years were evaluated. Body mass index was used to assess overweight/obesity. Dietary patterns and screen time were assessed using qualitative questionnaires. Principal component analysis was used to obtain dietary patterns. Confounder variables were: type of school (public or private), sexual maturation, mother’s weight and mother’s education. The Chi-square test was used for the crude analysis; for the adjusted analysis was used Poisson regression with sample weighting. Results Overweight/obesity prevalence was 29.8% and statistically higher among boys (34.7%). Higher screen time prevalence was 39.1%. The dietary patterns obtained were: obesogenic; coffee and dairy products; traditional Brazilian meal; fruit and vegetables; bread and chocolate milk. The dietary pattern that more closely represented student food consumption was the obesogenic pattern. Screen time was not significantly associated with overweight/obesity. The obesogenic pattern (in both sexes), the coffee and dairy products pattern, and the bread and chocolate milk pattern (only in girls), were inversely associated with overweight/obesity. In this study, dietary patterns influenced overweight/obesity, although in some cases, in an inverse way from what expected. Conclusion A high prevalence of overweight/obesity and a high proportion of screen time activities among the adolescents were observed. Our results indicate a high consumption of unhealthy dietary pattern among adolescents.

scholarly journals Association between Dietary Patterns and Kidney Function Parameters in Adults with Metabolic Syndrome: A Cross-Sectional Study

Nutrients ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 40
Author(s):  
Ahmad Syauqy ◽  
Chien-Yeh Hsu ◽  
Hsiu-An Lee ◽  
Hsiao-Hsien Rau ◽  
Jane C.-J. Chao
Keyword(s):  
Metabolic Syndrome ◽  
Uric Acid ◽  
Kidney Function ◽  
Dietary Patterns ◽  
Dietary Pattern ◽  
Principal Component ◽  
Cross Sectional Study ◽  
Processed Food ◽  
Sectional Study ◽  
Cross Sectional

This study explored the association between dietary patterns and kidney function parameters in adults with metabolic syndrome in Taiwan. This cross-sectional study was undertaken in 56,476 adults from the health screening centers in Taiwan from 2001 to 2010. Dietary intake and dietary patterns were assessed using a food frequency questionnaire and principal component analysis, respectively. Blood urea nitrogen (BUN), creatinine, estimated glomerular filtration rate (eGFR), and uric acid were measured as clinical parameters of kidney function. Multivariate linear regression was conducted to explore the relationship between dietary patterns and kidney function parameters. After adjusting for confounders, the highest tertiles of the processed food–sweets dietary pattern and the meat–seafood–eggs dietary pattern were associated with increased BUN, creatinine, and uric acid but decreased eGFR (all adjusted p < 0.05). Meanwhile, the highest tertiles of the veggie–fruit–grains dietary pattern and the milk–dairy dietary pattern were associated with decreased BUN, creatinine, and uric acid but increased eGFR (all adjusted p < 0.05). A processed food–sweets dietary pattern or a meat–seafood–eggs dietary pattern is associated with worse kidney function parameters in adults with metabolic syndrome. In contrast, a veggie–fruit–grains dietary pattern or a milk–dairy dietary pattern is associated with better kidney function parameters.

scholarly journals The effect of under-reporting of energy intake on dietary patterns and on the associations between dietary patterns and self-reported chronic disease in women aged 50–69 years

2016 ◽  
Vol 116 (3) ◽  
pp. 547-558 ◽  
Author(s):  
Marianne S. Markussen ◽  
Marit B. Veierød ◽  
Giske Ursin ◽  
Lene F. Andersen
Keyword(s):  
Chronic Disease ◽  
Chronic Diseases ◽  
Energy Intake ◽  
Dietary Patterns ◽  
Dietary Pattern ◽  
Screening Program ◽  
Principal Component ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Cancer Screening Program

AbstractThe aim of this cross-sectional study was to investigate whether under-reporting of energy intake affects derived dietary patterns and the association between dietary patterns and self-reported chronic disease. Diets of 6204 women aged 50–69 years participating in the Norwegian Breast Cancer Screening Program were assessed using a 253-item FFQ. We identified dietary patterns using principal component analysis. According to the revised Goldberg cut-off method, women with a ratio of reported energy intake:estimated BMR<1·10 were classified as low energy reporters (n 1133, 18 %). We examined the associations between dietary patterns and self-reported chronic diseases by log-binomial regression, and the results are presented as prevalence ratios (PR) and CI. ‘Prudent’, ‘Western’ and ‘Continental’ dietary patterns were identified among all reporters and plausible reporters. The PR expressing the associations between the ‘Western’ and ‘Prudent’ dietary pattern scores and self-reported chronic diseases were consistently highest among plausible reporters except for joint/muscle/skeletal disorders. The largest difference in PR among plausible v. all reporters was found for the association between the ‘Prudent’ pattern and diabetes (PR for highest v. lowest tertile: PRall reporters 2·16; 95 % CI 1·50, 3·13; Ptrend<0·001; PRplausible reporters 2·86; 95 % CI 1·81, 4·51; Ptrend<0·001). In conclusion, our results suggest that under-reporting can result in systematic error that can affect the association between dietary pattern and disease. In studies of dietary patterns, investigators ought to consider reporting effect estimates both for all individuals and for plausible reporters.

scholarly journals Association between alcohol dietary pattern and prevalence of dyslipidaemia: WASEDA’S Health Study

2021 ◽  
pp. 1-31
Author(s):  
Kumpei Tanisawa ◽  
Tomoko Ito ◽  
Ryoko Kawakami ◽  
Chiyoko Usui ◽  
Takuji Kawamura ◽  
...  
Keyword(s):  
Dietary Patterns ◽  
Dietary Pattern ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Principal Component ◽  
Cross Sectional Study ◽  
Alcoholic Beverages ◽  
Health Study ◽  
High Intake ◽  
Cross Sectional

Abstract The association between a dietary pattern characterised by high alcohol intake and dyslipidaemia has not been fully investigated. Therefore, the present study aimed to investigate the association between alcohol dietary patterns and the prevalence of dyslipidaemia and its components. This cross-sectional study enrolled 2,171 men and women aged ≥40 years who were alumni of a Japanese university. To identify dietary patterns, a principal component analysis was performed based on the energy-adjusted food intake estimated by a brief-type self-administered diet history questionnaire. Three dietary patterns were identified, the second of which was named the alcohol dietary pattern and was characterised by a high intake of alcoholic beverages, liver, chicken, and fish. This alcohol dietary pattern was associated with reduced low-density lipoprotein cholesterol (LDL-C) levels. The fully adjusted odds ratios (95% confidence intervals) of high LDL-C for the lowest through highest quartile of alcohol dietary pattern score were 1.00 (reference), 0.83 (0.64–1.08), 0.84 (0.64–1.10), and 0.68 (0.49– 0.94), respectively. Subgroup analysis showed that the alcohol dietary pattern was inversely associated with the prevalence of dyslipidaemia in women, whereas it was positively associated with high triglyceride levels in men. In conclusion, the alcohol dietary pattern, characterised by a high intake of alcoholic beverages, liver, chicken, and fish, was associated with the prevalence of dyslipidaemia and its components. This finding provides useful information for the prevention and treatment of dyslipidaemia by modifying the diet.

scholarly journals Dietary Patterns as a Predictive Factor for Overweight and Obesity Among Secondary School Children in Mashhad, Iran

2018 ◽  
Vol 3 (3) ◽  
Keyword(s):  
Secondary School ◽  
School Children ◽  
Dietary Patterns ◽  
Dietary Pattern ◽  
Principal Component ◽  
Cross Sectional Study ◽  
Overweight And Obesity ◽  
Principal Component Factor Analysis ◽  
Cross Sectional ◽  
Healthy Dietary Pattern

This cross-sectional study was carried out to determine the prevalence of overweight and obesity among secondary school children in the city of Mashhad, Iran and its association with dietary patterns. A total of 1189 secondary school children (579 males and 610 females) aged 12- 14 years old were selected through a stratified multistage random sampling. All adolescents were measured for weight and height. Household socio-demographic information were self-reported by parents. Adolescents were classified as overweight or obese based on BMI-for age Z-score. Dietary patterns were assessed using a validated Iranian food frequency questionnaire (FFQ) included 121 food items. The principal component factor analysis (PCA) was applied to derive dietary patterns, and Logistic Regression (LR) was applied to examine the association between dietary pattern and adolescents BMI. The overall prevalence of overweight and obesity among the study population was 17.2% and 11.9%, respectively. The PCA analysis revealed the presence of two dietary patterns that were labeled as ‘Healthy dietary pattern’ (HP), and ‘Unhealthy dietary pattern’ (UP). LR analysis showed that HP was significantly associated with BMI (OR: 1.28, 95% CI: 1.124-1.47). Similarly, UP was significantly associated with BMI (OR: 0.861, 95% CI: .725-.968). In Iran, nutritional transition has taken place in the context of urbanization and has changed lifestyle, and dietary patterns. Policies must be formulated and circulated in the society to reach every family in the form of healthy dietary pattern.

scholarly journals Exploring absolute and relative measures of exposure to food environments in relation to dietary patterns among European adults

2018 ◽  
Vol 22 (06) ◽  
pp. 1037-1047 ◽  
Author(s):  
MGM Pinho ◽  
JD Mackenbach ◽  
J-M Oppert ◽  
H Charreire ◽  
H Bárdos ◽  
...  
Keyword(s):  
Dietary Patterns ◽  
Dietary Pattern ◽  
Fast Food ◽  
Principal Component ◽  
Healthy Food ◽  
Cross Sectional Survey ◽  
Spatial Access ◽  
Cross Sectional ◽  
Food Retailers ◽  
Healthy Dietary Pattern

AbstractObjectiveTo explore the associations of absolute and relative measures of exposure to food retailers with dietary patterns, using simpler and more complex measures.DesignCross-sectional survey.SettingUrban regions in Belgium, France, Hungary, the Netherlands and the UK.ParticipantsEuropean adults (n 4942). Supermarkets and local food shops were classified as ‘food retailers providing healthier options’; fast-food/takeaway restaurants, cafés/bars and convenience/liquor stores as ‘food retailers providing less healthy options’. Simpler exposure measures used were density of healthy and density of less healthy food retailers. More complex exposure measures used were: spatial access (combination of density and proximity) to healthy and less healthy food retailers; density of healthier food retailers relative to all food retailers; and a ratio of spatial access scores to healthier and less healthy food retailers. Outcome measures were a healthy or less healthy dietary pattern derived from a principal component analysis (based on consumption of fruits, vegetables, fish, fast foods, sweets and sweetened beverages).ResultsOnly the highest density of less healthy food retailers was significantly associated with the less healthy dietary pattern (β = −129·6; 95 % CI −224·3, −34·8). None of the other absolute density measures nor any of the relative measures of exposures were associated with dietary patterns.ConclusionsMore complex measures of exposure to food retailers did not produce stronger associations with dietary patterns. We had some indication that absolute and relative measures of exposure assess different aspects of the food environment. However, given the lack of significant findings, this needs to be further explored.

scholarly journals Sociodemographic and Regional Determinants of Dietary Patterns in Russia

2020 ◽  
Vol 17 (1) ◽  
pp. 328 ◽  
Author(s):  
Sergey Maksimov ◽  
Natalia Karamnova ◽  
Svetlana Shalnova ◽  
Oksana Drapkina
Keyword(s):  
Dietary Patterns ◽  
Age Groups ◽  
Principal Component ◽  
Cross Sectional Study ◽  
Russian Population ◽  
A Posteriori ◽  
Cross Sectional ◽  
Material Wealth ◽  
Face To Face ◽  
Posteriori Analysis

An empirical assessment of diets using a posteriori analysis allows us to define actual dietary patterns (DPs) in the food consumption structure of a population. This study represents an a posteriori assessment of DPs for the Russian population in general as well as their dependence on socio-demographic and regional parameters. The data were obtained from 21,923 individuals aged 25–64 years old from a Russian multicenter study of “Epidemiology of Cardiovascular Diseases in the Regions of the Russian Federation” conducted in 2013–2014. Cross-sectional study subjects were interviewed face-to-face in order to obtain data on their diet. DPs were defined using principal component analysis. Four DPs were specified as “Rational”, “Salt”, “Meat”, and “Mixed”; all these variants together accounted for 55.9% of variance. Diets in gender and age groups corresponded to those for an all-Russian population; in several regions, the defined diets differed from the all-Russian ones. More favorable diet trends were observed among women, people with no family, people not working, and urban dwellers, and diet trends were more favorable with an increase in age, level of education, and material wealth. Thus, a posteriori DPs were defined for the Russian population, which were stable in sex/age groups and were mediated by the socio-demographic characteristics of the population.

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