scholarly journals Testosterone-Associated Dietary Pattern Predicts Low Testosterone Levels and Hypogonadism

Nutrients ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 1786 ◽  
Author(s):  
Tzu-Yu Hu ◽  
Yi Chen ◽  
Pei Lin ◽  
Chun-Kuang Shih ◽  
Chyi-Huey Bai ◽  
...  
Keyword(s):  
Fat Mass ◽  
Dietary Patterns ◽  
Dietary Pattern ◽  
Transferrin Saturation ◽  
Subcutaneous Fat ◽  
Dietary Factors ◽  
The Body ◽  
Food Groups ◽  
Reduced Rank Regression ◽  
Nutrient Metabolism

Obesity and low serum testosterone (T) levels are interrelated and strongly influenced by dietary factors, and their alteration entails a great risk of hypogonadism. Substantial evidence suggests a bidirectional relationship between nutrient metabolism (e.g., glucose, lipids, and iron) and T levels in men; however, T-related dietary patterns remain unclear. This study investigated the dietary patterns associated with serum total T levels and its predictive effect on hypogonadism and the body composition. Anthropometry, blood biochemistry, and food frequency questionnaires were collected for 125 adult men. Dietary patterns were derived using a reduced rank regression from 32 food groups. Overall prevalence rates of central obesity and hypogonadism were 48.0% and 15.7%, respectively. An adjusted linear regression showed that age, insulin, red blood cell (RBC) aggregation, and transferrin saturation independently predicted serum total T levels (all p < 0.01). The total T-related dietary pattern (a high consumption of bread and pastries, dairy products, and desserts, eating out, and a low intake of homemade foods, noodles, and dark green vegetables) independently predicted hypogonadism (odds ratio: 5.72; 95% confidence interval: 1.11‒29.51, p < 0.05) for those with the highest dietary pattern scores (Q4) compared to those with the lowest (Q1). Scores were also negatively correlated with the skeletal muscle mass (p for trend = 0.002) but positively correlated with the total body fat mass (p for trend = 0.002), visceral fat mass (p for trend = 0.001), and to a lesser extent, subcutaneous fat mass (p for trend = 0.035) after adjusting for age. Randomized controlled trials are needed to confirm that improvement in dietary pattern can improve T levels and reduce hypogonadism.

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

Nutrients ◽  
2018 ◽  
Vol 10 (8) ◽  
pp. 1127 ◽  
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.

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

2014 ◽  
Vol 112 (8) ◽  
pp. 1364-1372 ◽  
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.

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

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 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.

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

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 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.

scholarly journals Diet and Leukocyte Telomere Length in a Population with Extended Longevity: The Costa Rican Longevity and Healthy Aging Study (CRELES)

Nutrients ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 2585
Author(s):  
Edward A. Ruiz-Narváez ◽  
Ana Baylin ◽  
Jorge Azofeifa ◽  
Alejandro Leal ◽  
Luis Rosero-Bixby
Keyword(s):  
Telomere Length ◽  
Dietary Patterns ◽  
Dietary Pattern ◽  
Healthy Aging ◽  
Costa Rican ◽  
Dietary Factors ◽  
Leukocyte Telomere Length ◽  
Food Groups ◽  
Aging Study ◽  
Extended Longevity

Elderly Costa Ricans have lower mortality rates compared to their counterparts from developed countries. Reasons for this survival advantage are not completely known. In the present study, we aimed to identify dietary factors associated with leukocyte telomere length (LTL), a marker of biologic aging, in the elderly population of Costa Rica. We conducted prospective analysis in 909 participants aged 60+ years from the Costa Rican Longevity and Healthy Aging Study (CRELES). We used a food frequency questionnaire to assess usual diet. We calculated dietary patterns using Principal Component Analysis (PCA). We used generalized linear models to examine the association of dietary patterns and food groups with leukocyte telomere length. We found two major dietary patterns explaining 9.15% and 7.18% of the total variation of food intake, respectively. The first dietary pattern, which represents a traditional Costa Rican rice and beans pattern, was more frequent in rural parts of the country and was positively associated with baseline LTL: β (95% CI) = 42.0 base-pairs (bp) (9.9 bp, 74.1 bp) per one-unit increase of the traditional dietary pattern. In analysis of individual food groups, intake of grains was positively associated with baseline LTL: β (95% CI) = 43.6 bp (13.9 bp, 73.3 bp) per one-serving/day increase of consumption of grains. Our results suggest that dietary factors, in particular a traditional food pattern, are associated with telomere length and may contribute to the extended longevity of elderly Costa Ricans.

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

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.

scholarly journals Association of nutrient-derived dietary patterns with sarcopenia and its components in community-dwelling older Japanese: a cross-sectional study

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Yuri Yokoyama ◽  
Akihiko Kitamura ◽  
Satoshi Seino ◽  
Hunkyung Kim ◽  
Shuichi Obuchi ◽  
...  
Keyword(s):  
Dietary Patterns ◽  
Dietary Pattern ◽  
Cross Sectional Study ◽  
Community Dwelling ◽  
Dietary Factors ◽  
Sectional Study ◽  
Reduced Rank Regression ◽  
Cross Sectional ◽  
Rank Regression ◽  
And Function

Abstract Background Diet is a modifiable factor affecting sarcopenia, and accumulating evidence links dietary factors to muscle mass, strength, and function in older adults. However, few studies have examined the association of dietary patterns with sarcopenia. This study examined the association of dietary patterns derived by reduced-rank regression (RRR) with sarcopenia and its components in community-dwelling older Japanese. Methods We conducted a cross-sectional study of 1606 community-dwelling adults aged 65 years or older. Dietary intake was assessed by a validated, self-administered diet history questionnaire. Nutrient-derived dietary patterns were identified by using RRR, with sarcopenia-related nutrients (protein, vitamin D, vitamin C, vitamin E, folate, vitamin K, magnesium, iron, and calcium intakes) as response variables. Sarcopenia was defined by using the algorithm of the Asian Working Group for Sarcopenia 2019. Multivariate regression and logistic regression were used to examine the association of dietary patterns with sarcopenia and its components. Results The first RRR dietary pattern was characterized by high intakes of fish, soybean products, potatoes, most vegetables, mushrooms, seaweeds, and fruit and a low intake of rice and was associated with decreased prevalence of sarcopenia: the multivariable-adjusted odds ratio of sarcopenia was 0.57 (95% confidence interval, 0.34–0.94; p for trend=0.022) in the highest versus the lowest tertile of dietary pattern. This dietary pattern was also significantly positively associated with usual gait speed (β: 0.02, p=0.024). Conclusions A dietary pattern characterized by high intakes of fish, soybean products, potatoes, most vegetables, mushrooms, seaweeds, and fruits and low rice intake was inversely associated with sarcopenia in community-dwelling older Japanese.

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

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.

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 Childhood dietary patterns and later obesity: a review of the evidence

2013 ◽  
Vol 73 (1) ◽  
pp. 137-146 ◽  
Author(s):  
Gina L. Ambrosini
Keyword(s):  
Dietary Patterns ◽  
Dietary Pattern ◽  
Empirical Method ◽  
Overweight And Obesity ◽  
Dietary Factors ◽  
Current Evidence ◽  
Obesity Risk ◽  
High Fat ◽  
Reduced Rank Regression ◽  
Eligibility Criteria

A range of individual nutrients and foods have been suggested to increase obesity risk in childhood, but the evidence is inconsistent. Dietary patterns that summarise the whole diet may, however, be more informative. The aim of the present paper was to systematically review the current evidence pertaining to overall dietary patterns in childhood and later obesity risk. Studies eligible for review identified childhood dietary patterns using an empirical method, i.e. principal components analysis, factor analysis or reduced rank regression, and reported their prospective associations with an obesity-related outcome. Literature searches identified 166 studies and of these, seven met the eligibility criteria. Despite differences between studies, a common dietary pattern was identified in all seven studies that was high in energy-dense, high-fat and low-fibre foods. The quality of studies varied, however; the four studies reporting positive associations between this type of dietary pattern and later obesity risk were of consistently higher quality than those reporting null associations. The balance of evidence from this systematic review indicates that dietary patterns that are high in energy-dense, high-fat and low-fibre foods predispose young people to later overweight and obesity. It also highlights that examining multiple dietary factors within a dietary pattern may better explain obesity risk than individual nutrients or foods. However, more prospective studies are needed and dietary pattern research requires greater rigour and focus, to further clarify the role of dietary factors in the aetiology of obesity and inform future interventions.

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