scholarly journals Dietary patterns and metabolic phenotypes in Brazilian adults: a population-based cross-sectional study

2019 ◽  
Vol 22 (18) ◽  
pp. 3377-3383 ◽  
Author(s):  
Dayana LM Pereira ◽  
Leidjaira L Juvanhol ◽  
Danielle CG Silva ◽  
Giana Z Longo
Keyword(s):  
Food Consumption ◽  
Dietary Patterns ◽  
Multinomial Logistic Regression ◽  
Principal Component ◽  
Cross Sectional Study ◽  
Normal Weight ◽  
Alcoholic Beverages ◽  
Sectional Study ◽  
Cross Sectional ◽  
Metabolic Phenotypes

AbstractObjective:Dietary patterns have been pointed out as useful diet quality indicators, but evidence about their relationship to metabolic phenotypes is still scarce. Thus, the present study aimed to verify the relationship between dietary patterns and metabolic phenotypes in Brazilian adults.Design:Cross-sectional study. A food consumption frequency questionnaire assessed food consumption profiles. Metabolic phenotypes were defined based on the criteria of the National Health and Nutrition Examination Survey: overweight or normal weight and metabolically healthy (MHOW and MHNW) or unhealthy (MUOW and MUNW). Dietary patterns were established through exploratory factor analysis and principal component analysis. The associations were tested using multinomial logistic regression.Setting:Viçosa, Minas Gerais, Brazil.Participants:Individuals (n 896) aged 20–59 years of both sexes, selected using probabilistic sampling.Results:Three dietary patterns were identified: Unhealthy pattern (alcoholic beverages, oils and fats, condiments, soda and juice, sugars and sweets, snacks, and meat and derivatives), Traditional pattern (culinary preparations, beans, milk and dairy products, and coffee and tea) and Healthy pattern (vegetables and fruits, whole grains, chicken and fish, and skimmed milk). Unhealthy pattern was positively associated with the MHOW and MUOW phenotypes in the fourth quartile (OR = 1·84; 95 % CI 1·06, 3·22) and in the third (OR = 1·94; 95 % CI 1·11, 3·39) and fourth (OR = 2·56; 95 % CI 1·41, 4·64) quartiles of consumption, respectively. Healthy pattern was also associated with these phenotypes.Conclusions:Both the pattern comprising energy-dense foods and the healthier pattern were associated with overweight phenotypes among Brazilian adults.

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 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.

Skeletal mass indices are inversely associated with metabolically unhealthy phenotype in overweight/obese and normal-weight men: a population-based cross-sectional study

2020 ◽  
pp. 1-9
Author(s):  
Cristiane Junqueira de Carvalho ◽  
Giana Zarbato Longo ◽  
Adriana Maria Kakehasi ◽  
Patrícia Feliciano Pereira ◽  
Kátia Josiany Segheto ◽  
...  
Keyword(s):  
Muscle Mass ◽  
Population Based ◽  
Cross Sectional Study ◽  
Normal Weight ◽  
Sectional Study ◽  
Fat Percentage ◽  
Cross Sectional ◽  
Metabolic Phenotypes ◽  
Skeletal Mass ◽  
Metabolic Conditions

Abstract Muscle mass may play an important role in the metabolic profile of individuals with or without excess weight. Metabolic phenotypes classify individuals as healthy or unhealthy based on certain metabolic conditions. We investigated the association between skeletal mass indices (SMI) and the metabolically unhealthy phenotype in normal-weight and overweight/obese adults. A total of 660 adults aged 20 to 59 years were assessed by a population-based cross-sectional study. Muscle mass of the limbs or appendicular lean mass (ALM) adjusted for weight (SMIweight) and BMI (SMIBMI) was used to evaluate SMI. Logistic regression was employed to estimate the association between SMIweight, SMIBMI and metabolic phenotypes of normal-weight and overweight/obese individuals. Metabolically unhealthy individuals were older in both sexes. Metabolically unhealthy men had lower SMI values and higher fat percentage than metabolically healthy men. SMIweight was inversely associated with the metabolically unhealthy phenotype, both in normal-weight men (OR 0·49, 95 % CI 0·24, 0·99, P = 0·04) and in overweight/obese men (OR 0·32, 95 % CI 0·16, 0·64, P = 0·001). SMIBMI was inversely associated with the metabolically unhealthy phenotype in overweight/obese men (OR 0·36, 95 % CI 0·18, 0·72, P = 0·004), but not in normal-weight men (OR 0·70, 95 % CI 0·34, 1·43, P = 0·33). Among women, SMI showed no significant association with the phenotypes. In conclusion, the SMI are inversely associated with the metabolically unhealthy phenotype in men, especially among overweight/obese men.

scholarly journals Dietary patterns and metabolic phenotypes in brazilian adults: a population-based cross-sectional study – ERRATUM

2019 ◽  
Vol 22 (18) ◽  
pp. 3384-3384
Author(s):  
Dayana LM Pereira ◽  
Leidjaira L Juvanhol ◽  
Danielle CG Silva ◽  
Giana Z Longo
Keyword(s):  
Dietary Patterns ◽  
Population Based ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Metabolic Phenotypes

scholarly journals Iron stores in relation to dietary patterns in a multiethnic population: the SAMINOR study

2011 ◽  
Vol 14 (6) ◽  
pp. 1039-1046 ◽  
Author(s):  
Ann R Broderstad ◽  
Marita Melhus ◽  
Magritt Brustad ◽  
Eiliv Lund
Keyword(s):  
Food Consumption ◽  
Dietary Patterns ◽  
Transferrin Saturation ◽  
Principal Component ◽  
Cross Sectional Study ◽  
Overweight And Obesity ◽  
Cross Sectional ◽  
Men And Women ◽  
High Level ◽  
Consumption Habits

AbstractObjectiveWe evaluated the association between serum ferritin (s-ferritin), transferrin saturation and dietary patterns, in connection with ethnicity, geographical settlement and lifestyle factors.DesignIn 2003–2004, a cross-sectional study of health and living conditions was carried out in northern Norway.SettingA questionnaire explored, among other factors, ethnicity and food consumption habits. Principal component analysis was used to assess the association between variables. Seven principal components were then used as input to a cluster analysis. To characterise food consumptions, five dietary patterns were identified and used to assess the effect of food consumption habits on Fe stores.SubjectsA total of 16 323 men and women between the ages of 36 and 79 years participated.ResultsParticipants who frequently consumed reindeer meat had higher levels of s-ferritin (P < 0·0001) than did individuals with other dietary patterns. This pattern was highly represented by subjects with three generations of Sami language (Sami I). Further, mean transferrin saturation in the reindeer group was higher compared with the other dietary clusters for men (P < 0·04) and women (P < 0·02). However, the reindeer pattern individuals also had the highest proportion of subjects with overweight and obesity. Obesity was positively associated with s-ferritin in both men and women (P < 0·0001).ConclusionsThe differences in Fe status described earlier between inland Sami and non-Sami can be explained by several factors such as food habits, age and obesity. High level of s-ferritin may reflect high intake of reindeer meat. Being overweight and obese is also associated with s-ferritin levels.

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 Environmental footprints of food consumption and dietary patterns among Lebanese adults: a cross-sectional study

2018 ◽  
Vol 17 (1) ◽  
Author(s):  
Farah Naja ◽  
Lamis Jomaa ◽  
Leila Itani ◽  
Jeremy Zidek ◽  
Sibelle El Labban ◽  
...  
Keyword(s):  
Food Consumption ◽  
Dietary Patterns ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Environmental Footprints

scholarly journals Biochemical and clinical characterization of metabolic phenotypes: a cross-sectional study from Maracaibo city, Venezuela

F1000Research ◽  
2018 ◽  
Vol 7 ◽  
pp. 230
Author(s):  
Valmore Bermudez ◽  
Joselyn Rojas ◽  
Juan Salazar ◽  
Maria Sofia Martinez ◽  
Luis Carlos Olivar ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Coronary Event ◽  
Cross Sectional Study ◽  
Normal Weight ◽  
Coronary Risk ◽  
Sectional Study ◽  
Related Factors ◽  
Cross Sectional ◽  
Metabolic Phenotypes ◽  
Healthy Obese

Background:In 1980, Reuben Andresen observed that in certain individuals, obesity did not increase mortality, introducing an atypical phenotype called “healthy obese”. Other studies reported that 10-15 % of lean individuals presented insulin resistance, hyperglycemia and dyslipidemia. The objective of this study was to evaluate biochemical and clinical characteristics of metabolic phenotypes in Maracaibo city.Methods:A descriptive, cross-sectional study with a randomized multistage sampling was performed including 1226 non diabetic individuals from both sexes. For phenotype definition, the subjects were first classified according to their BMI into Normal-Weight, Overweight and Obese; then divided in metabolically healthy and unhealthy using a two-step analysis cluster. To evaluate the relationship with coronary risk, a multiple logistic regression model was performed.Results:In the studied population, 5.2% (n=64) corresponded to unhealthy lean subjects, and 17.4% (n=217) to healthy obese subjects. Metabolically unhealthy normal-weight (MUNW) phenotype was found in males in 53.3% in contrast to 51.3% of metabolically unhealthy obese (MUO) phenotype found in females. An association between metabolically unhealthy phenotypes and a higher risk of a coronary event was found, especially for obese individuals (MHO: OR=1.85 CI95%: 1.11-3.09; p=0.02 and MUO: OR=2.09 CI95%: 1.34-3.28; p<0.01).Conclusion:Individuals with atypical metabolic phenotypes exist in Maracaibo city. Related factors may include insulin resistance, basal glucose levels, and triglycerides levels. Lastly, cardiovascular risk exhibited by healthy obese individuals should be classified in categories of major coronary risk related to lean subjects.

Sign in / Sign up

Export Citation Format

Share Document