scholarly journals Dietary patterns related to cardiovascular disease based on reduced rank regression analysis of healthy middle-aged Koreans: data from the community-based Korean Genome and Epidemiology Study (KoGES) cohort

2020 ◽  
Vol 111 (6) ◽  
pp. 1159-1169
Author(s):  
Hye Ah Lee ◽  
Hyoin An ◽  
EunJin Lee
Keyword(s):  
Cardiovascular Disease ◽  
Dairy Products ◽  
Vitamin B ◽  
Epidemiology Study ◽  
Reduced Rank Regression ◽  
Community Based ◽  
Rank Regression ◽  
Reduced Rank ◽  
Milk And Dairy Products

Abstract Background Dietary patterns (DPs) provide a comprehensive picture of the foods consumed by an individual. Objectives Using 12-y follow-up data from the Korean Genome Epidemiology Study (KoGES), we determined the associations of DPs with incident cardiovascular disease (CVD) using reduced rank regression (RRR). Methods This study analyzed the data of 7354 CVD-free subjects aged 40–69 y drawn from the community-based KoGES cohort. Based on the daily intake of 26 food groups at baseline, we identified DPs based on retinol, vitamin B-2 (riboflavin), and vitamin B-3 (niacin) intakes using RRR. The effects of the DPs on incident CVD were assessed using HRs with 95% CIs. Furthermore, using a marginal structural model, the association between DPs and incident CVD was evaluated after adjusting for time-varying confounders. Results The incidence of CVD during the follow-up period was 3.7 per 1000 person-years (n = 274). The identified DP accounted for 28.99% of the variation in the response variables (i.e., the intake amounts of all 3 nutrients) and was characterized by high intakes of eggs, fish, milk, and dairy products. The effect of DP quintile on incident CVD differed by sex (Pinteraction = 0.03); the highest DP quintile was associated with a protective effect against the development of CVD in women (HR: 0.44; 95% CI: 0.22, 0.89), but not in men (HR: 1.57; 95% CI: 0.82, 3.00), compared with the lowest quintile. Even after adjusting for time-dependent variables, the effect of DP on incident CVD was significant in women (HR: 0.43; 95% CI: 0.22, 0.84), but not in men (HR: 1.49; 95% CI: 0.71, 3.10). Conclusions In this study, we identified DPs related to CVD, and a DP characterized by high intakes of eggs, fish, milk, and dairy products protected against incident CVD in women.

scholarly journals A Diabetes-Related Dietary Pattern Is Associated with Incident Diabetes in Obese Men in the Korean Genome Epidemiology Study

2018 ◽  
Vol 149 (2) ◽  
pp. 323-329 ◽  
Author(s):  
Hye Ah Lee ◽  
NaYeong Son ◽  
Won Kyung Lee ◽  
Hyesook Park
Keyword(s):  
Dietary Patterns ◽  
Dietary Pattern ◽  
Incident Diabetes ◽  
Epidemiology Study ◽  
Reduced Rank Regression ◽  
High Intake ◽  
Rank Regression ◽  
Reduced Rank ◽  
Food Items

ABSTRACT Background Diet plays an important role in both the development and management of diabetes. Objective Using data from the Korean Genome Epidemiology Study, we assessed dietary patterns associated with the clinical indicators of diabetes. Methods This study included 7255 subjects aged 40–69 y. Individuals with chronic diseases were excluded. The daily intakes of specific food items were assessed using a dish-based semiquantitative food-frequency questionnaire comprising 103 items; the food items were then grouped into 26 food groups. Dietary patterns were analyzed by the reduced rank regression method using glycated hemoglobin, the homeostasis model of insulin resistance, and fasting glucose concentrations as dependent variables. We investigated the associations between dietary patterns and incident diabetes using the Cox proportional hazards model. Results During an 11.5-y follow-up, the incidence of diabetes was 11.8/1000 person-years. The dietary pattern related to selected biomarkers of diabetes was characterized by a relatively high intake of kimchi, beef, other meat, fish, and coffee in men and a high intake of rice, kimchi, and fruit in women. In men, the association of dietary patterns with incident diabetes was significant only in the obese group, and those in the top quartile of the dietary pattern score had a 1.72 times (95% CI: 1.15, 2.56 times) greater risk of incident diabetes than those in the bottom quartile. Conversely, dietary patterns in women were not associated with incident diabetes. Conclusion Using reduced rank regression, we identified dietary patterns related to selected biomarkers of diabetes in a long-term study with follow-up data in Korea.

scholarly journals Association Between Dietary Diversity and Prediabetes in the Korean Adults: A Community Based Cohort Study

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 1048-1048
Author(s):  
Gayoung Kim ◽  
Eunbi Hwang ◽  
Yoonjin Shin ◽  
Yangha Kim
Keyword(s):  
Cohort Study ◽  
Dairy Products ◽  
Dietary Diversity ◽  
Ministry Of Education ◽  
Epidemiology Study ◽  
Community Based ◽  
Korean Adults ◽  
Funding Sources ◽  
Reduced Risk

Abstract Objectives Dietary diversity is a widely accepted recommendation to encourage a nutritionally appropriate diet and prevent chronic diseases. This study was conducted to investigate the association between dietary diversity score (DDS) and the risk of prediabetes among Korean population. Methods Study subjects were 7,405 participants (3,392: men; 4,013: women) from the Korean Genome and Epidemiology Study (KoGES) aged 40–69 years. Foods are classified as five food categories (grains, meat and alternatives, vegetables, fruits and dairy products). When a subject consumes foods in each category at least per week, dietary diversity scored 1. Based on DDS, subjects were divided into three groups (≤3, 4 or 5). Results During the 12-year follow-up period, the cumulative incidence of prediabetes was 31.87%. Subjects with higher DDS showed a decreased incidence of prediabetes compared to those with lower DDS. DDS was associated with reduced risk of prediabetes [hazard ratio (HR) = 0.834, 95% CI: 0.74–0.94, p-trend = 0.007] after adjustment for potential confounders. Subjects with higher DDS had lower intake of grain and higher intake of dairy, meat, fruit, non-salted vegetable group (P-trend < 0.0001). Moreover, Subjects with higher DDS had lower intake of carbohydrates (P-trend < 0.0001). Conclusions These results suggested that diverse diets comprised of five food categories might potentially reduce the risk of prediabetes in Korean adults. Funding Sources This research was supported by the BK21 FOUR (Fostering Outstanding Universities for Research) funded by the Ministry of Education (MOE, Korea) and National Research Foundation of Korea (NRF).

scholarly journals Blood Lipids-Related Dietary Patterns Derived from Reduced Rank Regression Are Associated with Incident Type 2 Diabetes

2021 ◽  
Author(s):  
Ming-Jie Duan ◽  
Louise H. Dekker ◽  
Juan-Jesus Carrero ◽  
Gerjan J. Navis
Keyword(s):  
Type 2 Diabetes ◽  
Dietary Patterns ◽  
Blood Lipids ◽  
Reduced Rank Regression ◽  
Rank Regression ◽  
Incident Type ◽  
Reduced Rank ◽  
Incident Type 2 Diabetes

scholarly journals THE RELATIONSHIP BETWEEN INFLAMMATORY DIETARY PATTERN AND INCIDENCE OF PERIODONTITIS

2021 ◽  
pp. 1-36
Author(s):  
Ahmed A. Alhassani ◽  
Frank B. Hu ◽  
Bernard A. Rosner ◽  
Fred K. Tabung ◽  
Walter C. Willett ◽  
...  
Keyword(s):  
Confidence Interval ◽  
Periodontal Disease ◽  
Secondary Analysis ◽  
Hazard Ratio ◽  
Reduced Rank Regression ◽  
Rank Regression ◽  
Increased Risk ◽  
Cox Proportional Hazard Models ◽  
Study Population

ABSTRACT The long-term inflammatory impact of diet could potentially elevate the risk of periodontal disease through modification of systemic inflammation. The aim of the present study was to prospectively investigate the associations between a food based, reduced rank regression (RRR) derived, empirical dietary inflammatory pattern (EDIP) and incidence of periodontitis. The study population was composed of 34,940 men from the Health Professionals Follow-Up Study, who were free of periodontal disease and major illnesses at baseline (1986). Participants provided medical and dental history through mailed questionnaires every 2 years, and dietary data through validated semi-quantitative food frequency questionnaires every 4 years. We used Cox proportional hazard models to examine the associations between EDIP scores and validated self-reported incidence of periodontal disease over a 24-year follow-up period. No overall association between EDIP and the risk of periodontitis was observed; the hazard ratio comparing the highest EDIP quintile (most proinflammatory diet) to the lowest quintile was 0.99 (95% confidence interval: 0.89 -1.10, p-value for trend = 0.97). A secondary analysis showed that among obese non-smokers (i.e. never and former smokers at baseline), the hazard ratio for periodontitis comparing the highest EDIP quintile to the lowest was 1.39 (95% confidence interval: 0.98 -1.96, p-value for trend = 0.03). In conclusion, no overall association was detected between EDIP and incidence of self-reported periodontitis in the study population. From the subgroups evaluated EDIP was significantly associated with increased risk of periodontitis only among nonsmokers who were obese. Hence, this association must be interpreted with caution.

scholarly journals Sparse reduced‐rank regression for exploratory visualisation of paired multivariate data

2021 ◽  
Author(s):  
Dmitry Kobak ◽  
Yves Bernaerts ◽  
Marissa A. Weis ◽  
Federico Scala ◽  
Andreas S. Tolias ◽  
...  
Keyword(s):  
Multivariate Data ◽  
Reduced Rank Regression ◽  
Rank Regression ◽  
Reduced Rank

Reduced rank regression in cointegrated models

2002 ◽  
Vol 106 (2) ◽  
pp. 203-216 ◽  
Author(s):  
T.W. Anderson
Keyword(s):  
Reduced Rank Regression ◽  
Rank Regression ◽  
Reduced Rank

scholarly journals On cross-validation for sparse reduced rank regression

2018 ◽  
Vol 81 (1) ◽  
pp. 145-161
Author(s):  
Yiyuan She ◽  
Hoang Tran
Keyword(s):  
Cross Validation ◽  
Reduced Rank Regression ◽  
Rank Regression ◽  
Reduced Rank

scholarly journals Asymptotic properties of adaptive group Lasso for sparse reduced rank regression

Stat ◽  
2016 ◽  
Vol 5 (1) ◽  
pp. 251-261 ◽  
Author(s):  
Kejun He ◽  
Jianhua Z. Huang
Keyword(s):  
Asymptotic Properties ◽  
Group Lasso ◽  
Reduced Rank Regression ◽  
Rank Regression ◽  
Reduced Rank
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