Dietary pattern derived by reduced rank regression and depressive symptoms in a multi-ethnic population: the HELIUS study

2017 ◽  
Vol 71 (8) ◽  
pp. 987-994 ◽  
Author(s):  
E Vermeulen ◽  
K Stronks ◽  
M Visser ◽  
I A Brouwer ◽  
M B Snijder ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Dietary Pattern ◽  
Reduced Rank Regression ◽  
Ethnic Population ◽  
Rank Regression ◽  
Reduced Rank ◽  
Helius Study

scholarly journals Relationship Between Dietary Patterns Derived by Reduced Rank Regression and Risk of Depression in American Adults

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 464-464
Author(s):  
Peng Zhao ◽  
Yemian Li ◽  
Jingxian Wang ◽  
Yuhui Yang ◽  
Danmeng Liu ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Dietary Patterns ◽  
Dietary Pattern ◽  
The United States ◽  
Reduced Rank Regression ◽  
Eating Pattern ◽  
Rank Regression ◽  
Reduced Rank ◽  
High Adherence ◽  
Response Variables

Abstract Objectives Depression is one of the most serious mental disorder worldwide. Published studies indicated that nutrients such as folic acid and magnesium may provide a protective effect against it. The purpose of this study was to analyze whether dietary patterns defined by nutrients are associated with the risk of depression. Methods Research data content of 23 464 adults was obtained from the NHANES database. Dietary data were assessed with a valid food frequency questionnaire. Dietary patterns were derived by reduced rank regression with EPA + DHA, folate, Mg and Zn as response variables. The Patient Health Questionnaire was used to assess depressive symptoms (cutoff = 10). We applied logistic regression analyses to test the association between dietary patterns and depressive symptoms. Finally, all samples were divided into three groups: low, medium and high adherence to dietary patterns according to the trinomial score of dietary patterns, and the differences of depression risk among the three groups were compared. Results In total, 3 020 cases with depression were observed. We identified a dietary pattern that was strongly associated with EPA + DHA, folate, Mg and Zn (response variables) intake, which was also characterized by the consumption of vegetables, grains, meat, nuts, beans, peas, and lentils, milk, cheese, oils and solid fats. After adjustment for confounders, a statistically significant association was observed (OR = 0.42, 95%CI: 0.36,0.50; P < 0.001). In addition, compared with the low-adherence group, increasing adherence to this dietary pattern significantly reduced the risk of depression (medium-adherence: OR = 0.62, 95%CI: 0.55,0.71; high-adherence: OR = 0.43, 95%CI: 0.36,0.51; P < 0.001). Conclusions Adults living in the United States have been linked to a lower risk of depression with a high-nutrient eating pattern. Funding Sources National Natural Science Foundation of China and National Key R&D Program of China.

scholarly journals The association between dietary patterns derived by reduced rank regression and depressive symptoms over time: the Invecchiare in Chianti (InCHIANTI) study

2016 ◽  
Vol 115 (12) ◽  
pp. 2145-2153 ◽  
Author(s):  
Esther Vermeulen ◽  
Karien Stronks ◽  
Marjolein Visser ◽  
Ingeborg A. Brouwer ◽  
Aart H. Schene ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Olive Oil ◽  
Dietary Patterns ◽  
Dietary Pattern ◽  
Processed Meat ◽  
Inverse Association ◽  
Reduced Rank Regression ◽  
Rank Regression ◽  
Reduced Rank ◽  
Red And Processed Meat

AbstractThis study aimed to identify dietary patterns using reduced rank regression (RRR) and to explore their associations with depressive symptoms over 9 years in the Invecchiare in Chianti study. At baseline, 1362 participants (55·4 % women) aged 18–102 years (mean age 68 (sd 15·5) years) were included in the study. Baseline data collection started in 1998 and was repeated after 3, 6 and 9 years. Dietary intake information was obtained using a country-specific, validated FFQ with 188 food items. For baseline diet, dietary pattern scores in quartiles (Q) were derived using RRR with the nutrients EPA+DHA, folate, Mg and Zn as response variables. Continuous depression scores from the Centre for Epidemiologic Studies Depression (CES-D) scale were used for assessing depressive symptoms. The derived dietary pattern was rich in vegetables, olive oil, grains, fruit, fish and moderate in wine and red and processed meat, and was labelled as ‘typical Tuscan dietary pattern’. After full adjustment, an inverse association was observed between this dietary pattern and depressive symptoms at baseline (Q1 v. Q4, B −2·77; 95 % CI −4·55, −0·98). When examining the relationship between the above-mentioned dietary pattern at baseline and depressive symptoms over 9 years, a similar association was found after full adjustment for confounding factors (Q1 v. Q4, B −1·78; 95 % CI −3·17, −0·38). A diet rich in vegetables, olive oil, grains, fruits, fish and moderate in wine and red and processed meat was consistently associated with lower CES-D scores over a 9-year period in the Tuscan population.

scholarly journals Children with Early Sexual Maturation Exhibit Changes in Dairy and Soybean Consumption: A 6-Year Nationwide Study

2020 ◽  
Author(s):  
Ngan Thi Kim Nguyen ◽  
Hsien-Yu Fan ◽  
Shih-Yi Huang ◽  
Jia-Woei Hou ◽  
Chen Yang ◽  
...  
Keyword(s):  
Parent Education ◽  
Sexual Maturation ◽  
Dietary Pattern ◽  
Family Income ◽  
Dietary Habit ◽  
Study Cohort ◽  
Reduced Rank Regression ◽  
Rank Regression ◽  
Reduced Rank ◽  
Soybean Diet

Abstract BackgroundEarly sexual maturation (ESM) is associated with behavioral disorders in adolescence and hormone-related cancers in adulthood. Dietary pattern (DP) has been noticed in association with ESM. However, to our knowledge, no study has shown that association between DP derived from reduced-rank regression (RRR) and ESM, and whether ESM influences tracking dietary habit in children. This study was therefore to examine the prospective association between childhood dietary pattern (DP) and ESM, and whether ESM influenced children’s dietary habit during 6 years of pubertal growth.MethodsThis longitudinal study, using the Taiwan Children Health Study cohort, included 2593 peripubertal children aged 11.1 ± 0.3 years in 2011. DPs were derived by factor analysis (FA) and reduced-rank regression (RRR) methods from food frequency questionnaires. ESM was assessed in 2012 at age 12.1 ± 0.3 years. Multivariate logistic regression was used to examine the association between DP scores and ESM (n = 2593). The change in DP scores between 2011 and 2017 was obtained by comparing baseline DP scores with those participants who completed the final assessment (n = 1018).ResultsAt baseline, 3 DPs (dairy–soybean, traditional, and vegetarian diet) were identified using FA. Children with FA-derived dairy–soybean diet had a significantly higher risk of ESM (females: odds ratio [OR] = 1.58, 95% confidence interval [CI]: 1.07, 2.32; P = 0.02; males: OR = 1.42, 95% CI: 1.08, 1.86; P = 0.01) after adjusting for parent education, family income, fat percentage, total energy intake, and screen time. RRR-derived DPs yielded similar associations. Children who experienced ESM exhibited a significantly higher decrease in DP scores of “dairy–soybean diet” than did children without ESM over a 6-year period. Children with ESM were prone to resume “traditional diet” after completing pubertal growth.ConclusionsAdherence to “dairy–soybean diet” in childhood were associated with ESM; therefore, children undergoing pubertal growth should be advised on appropriate levels of dairy and soybean consumption, even after completion of pubertal growth.Data Share StatementData described in the manuscript, code book, and analytic code will be made available upon request pending either before or after publication for checking through contact with the authors by emails.

Abstract P196: Unhealthful Dietary Intake Pattern Identified by Reduced Rank Regression is Associated with Increased Arterial Stiffness among Youth with Type 1 Diabetes

Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
Archana P Lamichhane ◽  
Angela D Liese ◽  
Elaine M Urbina ◽  
Jamie L Crandell ◽  
Lindsay M Jaacks ◽  
...  
Keyword(s):  
Risk Factors ◽  
Dietary Pattern ◽  
Risk Profile ◽  
Cvd Risk Factors ◽  
Reduced Rank Regression ◽  
Cvd Risk ◽  
Rank Regression ◽  
Reduced Rank ◽  
Diet Soda

Introduction: Youth with type 1 diabetes (T1DM) are at substantially increased risk for adverse vascular outcomes, but little is known about the influence of dietary behavior on cardiovascular disease (CVD) risk profile and outcomes. Objective: We applied reduced rank regression (RRR) to identify a specific dietary pattern that explained the maximum amount of variation in CVD risk factors, and was strongly associated with markers of arterial stiffness (AS) in a cohort of youth with T1DM. Methods: Baseline diet data from a food frequency questionnaire and CVD risk factors (triglycerides, LDL-cholesterol, systolic blood pressure, hemoglobin A1c, C-reactive protein and waist circumference) were available for 1,153 youth aged ≥10 years with T1DM from the SEARCH for Diabetes in Youth Study. Dietary intake patterns were identified using 33 food-groups as predictors and six CVD risk factors as responses in an RRR analysis. AS outcomes were measured on average 18.9±7.1 months after the baseline diet assessment and were available only in a subset of participants from the SEARCH CVD pilot study. Associations between the RRR-derived dietary pattern explaining the maximum variation in CVD risk factors and AS measures [augmentation index(AIx75),n=229; pulse wave velocity(PWV),n=237; and brachial distensibility(BrachD),n=228] were then assessed using linear regression. Results: The RRR-derived pattern of interest was characterized by high intakes of sugar-sweetened beverages (SSB) and diet soda, eggs, potatoes and high-fat meats, and low intakes of sweets/desserts and low-fat dairy; major contributors were SSB and diet soda. This pattern captured the largest variability in the adverse CVD risk profile and was subsequently positively associated with AIx75 in the final model (β=0.47; p<0.01). The mean difference in AIx75 concentration between the highest and the lowest dietary pattern quartiles was 4.3% in fully adjusted model. Associations of the dietary pattern with the other measures of AS, PWV and BrachD, were attenuated and became non-significant after adjustment for potential confounders. Conclusions: Intervention strategies to reduce consumption of unhealthful foods and beverages among youth with T1DM may significantly improve CVD risk profile and ultimately reduce the risk for AS. Future studies with larger samples are needed to explore the associations between the derived dietary pattern and other measures of AS (PWV and BrachD), which can provide further insights into possible pathways linking diet to AS in this high risk population.

scholarly journals Maternal Dietary Patterns by Reduced Rank Regression Are Associated With Low Birth Weight Outcomes in Mothers and Children's Environmental Health Cohort

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 1044-1044
Author(s):  
Jiyoung Hwang ◽  
Dayeon Shin ◽  
Hyesook Kim ◽  
Oran Kwon
Keyword(s):  
Birth Weight ◽  
Dietary Patterns ◽  
Dietary Pattern ◽  
Lower Risk ◽  
Food Groups ◽  
Reduced Rank Regression ◽  
Rank Regression ◽  
Reduced Rank ◽  
Low Weight ◽  
Children’S Environmental Health

Abstract Objectives This study aims to identify the associations between maternal dietary patterns and the risks of low birth weight (≤ 10th percentile). Methods A total of 1,751 mothers and their newborns recruited for the Mothers and Children's Environmental Health cohort study between 2006 and 2010. A semiquantitative FFQ for nutrient intakes was collected and dietary patterns were derived using Reduced Rank Regression (RRR). A total of 138 food items were categorized into 40 pre-defined food groups. In this study, log transformed maternal intakes of folate, iron, and zinc were selected as the intermediate response variables based on the associations with birth weight. Associations were assessed by logistic regression with adjustment for confounding factors. Results All of energy and nutrient intakes of dietary pattern 1, characterized by high intakes of grain, green/yellow, and light-colored vegetables, legumes, fruits, red meat, poultry, eggs, fishes, seaweeds, tofu/soymilk, yogurt, and nuts significantly increased as the from quartile one to quartile four. Biochemical marker levels such as triglyceride, C-reactive protein, and malondialdehyde levels were significantly decreased from quartile one to quartile four in pattern 1. Pregnant women, who adhered to pattern 1 had a lower risk of low weight at birth in the highest quartile compared to the lowest quartile (adjusted odds ratio 0.35, 95% confidence interval 0.32–0.95). No association was observed for pattern 2(green/yellow vegetables, light-colored vegetables, kimchi, and seaweeds) and 3(grains, milk, and yogurt) with low weight at birth. Conclusions Mothers who practiced good nutrition such as various food groups were likely to have a lower risk of low weight at birth. This study was the first to use a birth cohort to investigate the association between maternal dietary pattern and low weight at birth using RRR method, which highlights the important role of whole foods or quality of nutrients during pregnancy. 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 A Dietary Pattern Derived by Reduced Rank Regression is Associated with Type 2 Diabetes in An Urban Ghanaian Population

Nutrients ◽  
2015 ◽  
Vol 7 (7) ◽  
pp. 5497-5514 ◽  
Author(s):  
Laura Frank ◽  
Franziska Jannasch ◽  
Janine Kröger ◽  
George Bedu-Addo ◽  
Frank Mockenhaupt ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Dietary Pattern ◽  
Reduced Rank Regression ◽  
Rank Regression ◽  
Reduced Rank

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 Using both principal component analysis and reduced rank regression to study dietary patterns and diabetes in Chinese adults

2015 ◽  
Vol 19 (2) ◽  
pp. 195-203 ◽  
Author(s):  
Carolina Batis ◽  
Michelle A Mendez ◽  
Penny Gordon-Larsen ◽  
Daniela Sotres-Alvarez ◽  
Linda Adair ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Dietary Patterns ◽  
Dietary Pattern ◽  
Principal Component ◽  
Component Analysis ◽  
Model Assessment ◽  
Reduced Rank Regression ◽  
Nutrition Survey ◽  
Rank Regression ◽  
Reduced Rank

AbstractObjectiveWe examined the association between dietary patterns and diabetes using the strengths of two methods: principal component analysis (PCA) to identify the eating patterns of the population and reduced rank regression (RRR) to derive a pattern that explains the variation in glycated Hb (HbA1c), homeostasis model assessment of insulin resistance (HOMA-IR) and fasting glucose.DesignWe measured diet over a 3 d period with 24 h recalls and a household food inventory in 2006 and used it to derive PCA and RRR dietary patterns. The outcomes were measured in 2009.SettingAdults (n 4316) from the China Health and Nutrition Survey.ResultsThe adjusted odds ratio for diabetes prevalence (HbA1c≥6·5 %), comparing the highest dietary pattern score quartile with the lowest, was 1·26 (95 % CI 0·76, 2·08) for a modern high-wheat pattern (PCA; wheat products, fruits, eggs, milk, instant noodles and frozen dumplings), 0·76 (95 % CI 0·49, 1·17) for a traditional southern pattern (PCA; rice, meat, poultry and fish) and 2·37 (95 % CI 1·56, 3·60) for the pattern derived with RRR. By comparing the dietary pattern structures of RRR and PCA, we found that the RRR pattern was also behaviourally meaningful. It combined the deleterious effects of the modern high-wheat pattern (high intakes of wheat buns and breads, deep-fried wheat and soya milk) with the deleterious effects of consuming the opposite of the traditional southern pattern (low intakes of rice, poultry and game, fish and seafood).ConclusionsOur findings suggest that using both PCA and RRR provided useful insights when studying the association of dietary patterns with diabetes.

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