Comparing two methods for deriving dietary patterns associated with risk of metabolic syndrome among middle-aged and elderly Taiwanese adults with impaired kidney function

Abstract Background: Dietary patterns were associated with the risk of chronic disease development and outcome-related diseases. In this study, we aimed to compare the correlation between dietary patterns and metabolic syndrome (MetS) using two methods for identifying dietary patterns.Methods: The participants (n = 25,569) aged ≥ 40 years with impaired kidney function were retrieved from Mei Jau (MJ) Health Screening database from 2008 to 2010. Dietary patterns were identified by principal component analysis (PCA) and reduced rank regression (RRR) from twenty-two food groups using PROC FACTOR and PROC PLS functions.Results: We identified two similar dietary pattern characteristics (high intakes of deep fried foods, preserved or processed foods, dipping sauce, meat, sugary drinks, organ meats, jam/honey, fried rice/flour products, instant noodles and eggs) derived by PCA and RRR. Logistic regression analysis revealed that RRR-derived dietary pattern scores were positively associated with an odds ratio (OR = 1.70, 95% CI: 1.56, 1.86) of having MetS than PCA-derived dietary pattern scores (OR = 1.38, 95% CI: 1.27, 1.51). The correlations between RRR-derived dietary pattern scores and elevated systolic and diastolic blood pressure (OR = 1.30 for both) or low high density lipoprotein cholesterol in women (OR = 1.32) were statistically significant but not significant in PCA-derived dietary pattern scores.Conclusions: Our findings suggest that RRR gives better results when studying behavior related dietary patterns in association with MetS. RRR may be more preferable to provide dietary information for developing dietary guidelines among people with MetS. Further studies with prospective measurements are needed to verify whether RRR is a useful analytic tool for the association between dietary patterns and other chronic diseases.

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Comparing two methods for deriving dietary patterns associated with risk of metabolic syndrome among middle-aged and elderly Taiwanese adults with impaired kidney function

10.21203/rs.3.rs-29635/v1 ◽

2020 ◽

Author(s):

Adi Lukas Kurniawan ◽

Chien-Yeh Hsu ◽

Hsiu-An Lee ◽

Hsiao-Hsien Rau ◽

Rathi Paramastri ◽

...

Keyword(s):

Metabolic Syndrome ◽

Kidney Function ◽

Dietary Patterns ◽

Dietary Pattern ◽

Density Lipoprotein ◽

Principal Component ◽

Dietary Guidelines ◽

Food Groups ◽

Reduced Rank Regression ◽

Sugary Drinks

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Comparing two methods for deriving dietary patterns associated with risk of metabolic syndrome among middle-aged and elderly Taiwanese adults with impaired kidney function

BMC Medical Research Methodology ◽

10.1186/s12874-020-01142-4 ◽

2020 ◽

Vol 20 (1) ◽

Author(s):

Adi Lukas Kurniawan ◽

Chien-Yeh Hsu ◽

Hsiu-An Lee ◽

Hsiao-Hsien Rau ◽

Rathi Paramastri ◽

...

Keyword(s):

Metabolic Syndrome ◽

Kidney Function ◽

Dietary Patterns ◽

Dietary Pattern ◽

Density Lipoprotein ◽

Principal Component ◽

Dietary Guidelines ◽

Food Groups ◽

Reduced Rank Regression ◽

Sugary Drinks

Abstract Background Dietary patterns were associated with the risk of chronic disease development and outcome-related diseases. In this study, we aimed to compare the correlation between dietary patterns and metabolic syndrome (MetS) using two methods for identifying dietary patterns. Methods The participants (n = 25,569) aged ≥40 years with impaired kidney function were retrieved from Mei Jau (MJ) Health Screening database from 2008 to 2010. Dietary patterns were identified by principal component analysis (PCA) and reduced rank regression (RRR) from twenty-two food groups using PROC FACTOR and PROC PLS functions. Results We identified two similar dietary pattern characteristics (high intakes of deep fried foods, preserved or processed foods, dipping sauce, meat, sugary drinks, organ meats, jam/honey, fried rice/flour products, instant noodles and eggs) derived by PCA and RRR. Logistic regression analysis revealed that RRR-derived dietary pattern scores were positively associated with an odds ratio (OR = 1.70, 95% CI: 1.56, 1.86) of having MetS than PCA-derived dietary pattern scores (OR = 1.38, 95% CI: 1.27, 1.51). The correlations between RRR-derived dietary pattern scores and elevated systolic and diastolic blood pressure (OR = 1.30 for both) or low high density lipoprotein cholesterol in women (OR = 1.32) were statistically significant but not significant in PCA-derived dietary pattern scores. Conclusions Our findings suggest that RRR gives better results when studying behavior related dietary patterns in association with MetS. RRR may be more preferable to provide dietary information for developing dietary guidelines among people with MetS. Further studies with prospective measurements are needed to verify whether RRR is a useful analytic tool for the association between dietary patterns and other chronic diseases.

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Comparing two methods for deriving dietary patterns associated with risk of metabolic syndrome among middle-aged and elderly Taiwanese adults with impaired kidney function

10.21203/rs.3.rs-17475/v1 ◽

2020 ◽

Author(s):

Adi Lukas Kurniawan ◽

Chien-Yeh Hsu ◽

Hsiu-An Lee ◽

Hsiao-Hsien Rau ◽

Rathi Paramastri ◽

...

Keyword(s):

Metabolic Syndrome ◽

Kidney Function ◽

Dietary Patterns ◽

Dietary Pattern ◽

Density Lipoprotein ◽

Principal Component ◽

Dietary Guidelines ◽

Food Groups ◽

Reduced Rank Regression ◽

Sugary Drinks

Abstract Background Dietary patterns were associated with the risk of chronic disease development and outcome-related diseases. In this study, we aimed to compare the correlation between dietary patterns and metabolic syndrome (MetS) using two methods for identifying dietary patterns.Methods The participants (n = 25,569) aged ≥ 40 years with impaired kidney function were retrieved from Mei Jau (MJ) Health Screening database from 2008 to 2010. Dietary patterns were identified by principal component analysis (PCA) and reduced rank regression (RRR) from twenty-two food groups using PROC FACTOR and PROC PLS functions.Results We identified two similar dietary pattern characteristics (high intakes of deep fried foods, preserved or processed foods, dipping sauce, meat, sugary drinks, organ meats, jam/honey, fried rice/flour products, instant noodles and eggs) derived by PCA and RRR. Logistic regression analysis revealed that RRR-derived dietary pattern scores were positively associated with an odds ratio (OR = 1.70, 95% CI: 1.56, 1.86) of having MetS than PCA-derived dietary pattern scores (OR = 1.38, 95% CI: 1.27, 1.51). The correlations between RRR-derived dietary pattern scores and elevated systolic and diastolic blood pressure (OR = 1.30 for both) or high density lipoprotein cholesterol in women (OR = 1.32) were statistically significant but not significant in PCA-derived dietary pattern scores.Conclusions Our findings suggest that RRR gives better results when studying behavior related dietary patterns in association with MetS. RRR may be more preferable to provide dietary information for developing dietary guidelines among people with MetS. Further studies with prospective measurements are needed to verify whether RRR is a useful analytic tool for the association between dietary patterns and other chronic diseases.

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Comparison of two exploratory dietary patterns in association with the metabolic syndrome in a Northern German population

British Journal Of Nutrition ◽

10.1017/s0007114514002098 ◽

2014 ◽

Vol 112 (8) ◽

pp. 1364-1372 ◽

Cited By ~ 33

Author(s):

Janett Barbaresko ◽

Sabine Siegert ◽

Manja Koch ◽

Imke Aits ◽

Wolfgang Lieb ◽

...

Keyword(s):

Metabolic Syndrome ◽

Dietary Patterns ◽

Dietary Pattern ◽

Dietary Guidelines ◽

Processed Meat ◽

German Population ◽

Food Groups ◽

Reduced Rank Regression ◽

Cross Sectional ◽

The Metabolic Syndrome

Diet is related to many chronic disease conditions such as the metabolic syndrome (MetS). We set out to compare behaviour-related with disease-related patterns and their association with the MetS in a German cross-sectional study. A total of 905 participants of a Northern German cohort (aged 25–82 years) completed a FFQ, underwent anthropometric assessments and provided a blood sample. Dietary patterns were derived by principal component analysis (PCA) and reduced-rank regression (RRR) from forty-two food groups. Components of the MetS were used as response variables for the RRR analysis. Simplified patterns comprising ten food groups were generated. Logistic regression analysis was performed to evaluate the likelihood of having the MetS across the quartiles of simplified pattern scores. We identified two similar dietary patterns derived by PCA and RRR characterised by high intakes of potatoes, various vegetables, red and processed meat, fats, sauce and bouillon. Comparing simplified patterns, an increased RRR pattern score was associated with a higher OR (2·18, 95 % CI 1·25, 3·81) of having the MetS than an increased PCA pattern score (OR 1·92, 95 % CI 1·21, 3·03). Comparing concordant food groups by both dietary pattern methods, a diet high in legumes, beef, processed meat and bouillon was also positively associated with the prevalence of the MetS after adjustment for potential confounders (OR 1·71, 95 % CI 1·04, 2·79). We identified a behaviour-related pattern that was positively associated with the MetS. The application of both dietary pattern methods may be advantageous to obtain information for designing and realising dietary guidelines. Prospective studies are needed to confirm the results.

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A Western dietary pattern is prospectively associated with cardio-metabolic traits and incidence of the metabolic syndrome

British Journal Of Nutrition ◽

10.1017/s000711451800079x ◽

2018 ◽

Vol 119 (10) ◽

pp. 1168-1176 ◽

Cited By ~ 19

Author(s):

Isabel Drake ◽

Emily Sonestedt ◽

Ulrika Ericson ◽

Peter Wallström ◽

Marju Orho-Melander

Keyword(s):

Metabolic Syndrome ◽

Dietary Patterns ◽

Dietary Pattern ◽

Dietary Guidelines ◽

Reduced Rank Regression ◽

Metabolic Traits ◽

The Metabolic Syndrome ◽

Western Dietary Pattern ◽

Response Variables

AbstractThe aim of this study was to derive dietary patterns associated with cardio-metabolic traits and to examine whether these predict prospective changes in these traits and incidence of the metabolic syndrome (iMetS). Subjects from the Malmö Diet and Cancer Study cardiovascular cohort without cardio-metabolic disease and related drug treatments at baseline (n 4071; aged 45–67 years, 40 % men) were included. We applied reduced rank regression on thirty-eight foods to derive patterns that explain variation in response variables measured at baseline (waist circumference, TAG, HDL- and LDL-cholesterol, systolic and diastolic blood pressure, fasting glucose and insulin). Patterns were examined in relation to change in cardio-metabolic traits and iMetS in subjects who were re-examined after 16·7 years (n 2704). Two dietary patterns (‘Western’ and ‘Drinker’) were retained and explained 3·2 % of the variation in response variables. The ‘Western’ dietary pattern was inversely associated with HDL-cholesterol and positively with all other response variables (both at baseline and follow-up), but there was no association with LDL at follow-up. After adjustment for potential confounders, the ‘Western’ dietary pattern was associated with higher risk of iMetS (hazard ratio Q4 v. Q1: 1·47; 95 % CI 1·23, 1·77; Ptrend=1·5×10−5). The ‘Drinker’ dietary pattern primarily explained variation in HDL and was not associated with iMetS. In conclusion, this study supports current food-based dietary guidelines suggesting that a ‘Western’ dietary pattern with high intakes of sugar-sweetened beverages and red and processed meats and low intakes of wine, cheese, vegetables and high-fibre foods is associated with detrimental effects on cardio-metabolic health.

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

Nutrients ◽

10.3390/nu13010040 ◽

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.

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1005Dietary pattern assessment methods and implications for dietary guideline development

International Journal of Epidemiology ◽

10.1093/ije/dyab168.714 ◽

2021 ◽

Vol 50 (Supplement_1) ◽

Author(s):

Kate Wingrove ◽

Mark A Lawrence ◽

Sarah A McNaughton ◽

K Wingrove ◽

MA Lawrence ◽

...

Keyword(s):

Dietary Patterns ◽

Dietary Pattern ◽

Guideline Development ◽

Data Extraction ◽

Principal Component ◽

Assessment Method ◽

Assessment Methods ◽

Dietary Guidelines ◽

Reduced Rank Regression ◽

Case Control Studies

Abstract Background Dietary guidelines should be informed by evidence from dietary patterns research. However, variation in the methods used to assess and report dietary patterns can make this type of evidence difficult to synthesise. The aim of this systematic review was to analyse the methods used to assess and report dietary patterns. Methods Literature searches were conducted in 2019 using three electronic databases. Cohort and nested case control studies published in English between 1980 and 2019 were eligible for inclusion. A data extraction tool was designed to capture details of the dietary pattern assessment methods that were used. Results A total of 410 studies were included: 63% used index based dietary pattern assessment methods, 31% used factor analysis or principal component analysis; 6% used cluster analysis; and 6% used reduced rank regression. Some studies used multiple methods. Within studies that used similar methods, variation in the methodology existed. The level of detail used to describe each dietary pattern assessment method also varied, and in some cases, important methodological details were omitted. Conclusions There was considerable variation in the methods used to assess and report dietary patterns. To ensure evidence from dietary patterns research can be synthesised, standardised approaches for the reporting of dietary pattern assessment methods are needed. Key messages To ensure evidence from dietary patterns research can be synthesised and used to inform dietary guidelines, there is a need to standardise the methods used to report dietary pattern assessment methods.

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

Nutrients ◽

10.3390/nu10070898 ◽

2018 ◽

Vol 10 (7) ◽

pp. 898 ◽

Cited By ~ 29

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.

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Red Blood Cell Aggregation-Associated Dietary Pattern Predicts Hyperlipidemia and Metabolic Syndrome

Nutrients ◽

10.3390/nu10081127 ◽

2018 ◽

Vol 10 (8) ◽

pp. 1127 ◽

Cited By ~ 4

Author(s):

Pei Lin ◽

Chun-Chao Chang ◽

Kuo-Ching Yuan ◽

Hsing-Jung Yeh ◽

Sheng-Uei Fang ◽

...

Keyword(s):

Metabolic Syndrome ◽

Blood Cell ◽

Red Blood Cell ◽

Dietary Patterns ◽

Dietary Pattern ◽

Iron Status ◽

Transferrin Saturation ◽

Dietary Factors ◽

Reduced Rank Regression ◽

Rbc Aggregation

Red blood cell (RBC) aggregation and iron status are interrelated and strongly influenced by dietary factors, and their alterations pose a great risk of dyslipidemia and metabolic syndrome (MetS). Currently, RBC aggregation-related dietary patterns remain unclear. This study investigated the dietary patterns that were associated with RBC aggregation and their predictive effects on hyperlipidemia and MetS. Anthropometric and blood biochemical data and food frequency questionnaires were collected from 212 adults. Dietary patterns were derived using reduced rank regression from 32 food groups. Adjusted linear regression showed that hepcidin, soluble CD163, and serum transferrin saturation (%TS) independently predicted RBC aggregation (all p < 0.01). Age-, sex-, and log-transformed body mass index (BMI)-adjusted prevalence rate ratio (PRR) showed a significant positive correlation between RBC aggregation and hyperlipidemia (p-trend < 0.05). RBC aggregation and iron-related dietary pattern scores (high consumption of noodles and deep-fried foods and low intake of steamed, boiled, and raw food, dairy products, orange, red, and purple vegetables, white and light-green vegetables, seafood, and rice) were also significantly associated with hyperlipidemia (p-trend < 0.05) and MetS (p-trend = 0.01) after adjusting for age, sex, and log-transformed BMI. Our results may help dieticians develop dietary strategies for preventing dyslipidemia and MetS.

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

Current Developments in Nutrition ◽

10.1093/cdn/nzz044.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

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