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.

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

F1000Research ◽  
2019 ◽  
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 ◽  
Related Factors ◽  
Cross Sectional ◽  
Metabolic Phenotypes ◽  
Event Risk ◽  
Obese Subjects ◽  
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 sub-analysis of The Maracaibo City Metabolic Syndrome Prevalence 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 being predictive variables: HOMA2-IR, HOMA2-βcell, triglycerides. To evaluate the relationship with coronary risk, a multiple logistic regression model was performed. Results: In the studied population, 43.9% (n=538) were healthy normal weight, 5.2% (n=64) unhealthy normal weight, 17.4% (n=217) healthy obese and 33.5% (n=411) unhealthy obese subjects. Atypical phenotypes, Metabolically Unhealthy Normal-Weight (MUNW) was more frequent in males (56.3%), whereas Metabolically Unhealthy Obese (MUO) was more frequent in females (51.3%). This phenotypes had a higher coronary event risk, 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 are common in Maracaibo city. Related factors may include insulin resistance, basal glucose, and triglycerides levels. Lastly, obese subjects show a higher coronary event risk even those with normal metabolic status.

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

F1000Research ◽  
2021 ◽  
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 ◽  
Related Factors ◽  
Cross Sectional ◽  
Metabolic Phenotypes ◽  
Event Risk ◽  
Obese Subjects ◽  
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 sub-analysis of The Maracaibo City Metabolic Syndrome Prevalence 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 being predictive variables: HOMA2-IR, HOMA2-βcell, triglycerides. To evaluate the relationship with coronary risk, a multiple logistic regression model was performed. Results: In the studied population, 43.9% (n=538) were healthy normal weight, 5.2% (n=64) unhealthy normal weight, 17.4% (n=217) healthy obese and 33.5% (n=411) unhealthy obese subjects. Atypical phenotypes, Metabolically Unhealthy Normal-Weight (MUNW) was more frequent in males (56.3%), whereas Metabolically Unhealthy Obese (MUO) was more frequent in females (51.3%). This phenotypes had a higher coronary event risk, 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 are common in Maracaibo city. Related factors may include insulin resistance, basal glucose, and triglycerides levels. Lastly, obese subjects show a higher coronary event risk even those with normal metabolic status.

scholarly journals Insulin resistance indices and coronary risk in adults from Maracaibo city, Venezuela: A cross sectional study

F1000Research ◽  
2018 ◽  
Vol 7 ◽  
pp. 44 ◽  
Author(s):  
Juan Salazar ◽  
Valmore Bermúdez ◽  
Luis Carlos Olivar ◽  
Wheeler Torres ◽  
Jim Palmar ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Adult Population ◽  
Cross Sectional Study ◽  
Coronary Risk ◽  
Sectional Study ◽  
Predictive Capacity ◽  
Cross Sectional ◽  
Multi Stage ◽  
Risk Event ◽  
Hs Crp

Background: Insulin resistance (IR) is a metabolic disorder related to atherosclerosis. Its measurement is of great importance not only as a marker of diabetes but also for cardiovascular disease. The aim of this research study was to evaluate the relationship between various IR indices and coronary risk in an adult population from Maracaibo city, Venezuela. Methods: The Maracaibo City Metabolic Syndrome Prevalence Study is a descriptive, cross-sectional study with random and multi-stage sampling. In this sub study, 1272 individuals of both genders were selected with the measurement of basal insulin and coronary risk according to the Framingham-Wilson formula calibrated for our population. The insulin resistance indices evaluated were HOMA2-IR, triglycerides and glucose index (TyG) and triglycerides/HDL ratio (TG/HDL). The predictive capacity and association between each index and the coronary risk event in 10 years were determined. Results: Of the evaluated population, 55.2% were female, 34.8% had a coronary risk ≥5% in 10 years, with the TG/HDL and TyG indices showing the highest AUC 0.712 (0.681-0.743) and 0.707 (0.675-0.739), respectively; compared to HOMA2-IR. Both were also the indices most associated with increased coronary risk, especially TG/HDL ≥3 with a higher association [OR = 2.83 (1.74-4.61); p<0.01] after multivariable adjustment. Conclusions: TyG (≥4.5) and TG/HDL (≥3) indices showed a great predictive capacity of higher coronary risk, with being TG/HDL more associated even after adjusting for abdominal obesity and hs-CRP. Therefore, these represent useful tools for determining IR.

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.

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 Insulin resistance indices and coronary risk in adults from Maracaibo city, Venezuela: A cross sectional study

F1000Research ◽  
2018 ◽  
Vol 7 ◽  
pp. 44
Author(s):  
Juan Salazar ◽  
Valmore Bermúdez ◽  
Luis Carlos Olivar ◽  
Wheeler Torres ◽  
Jim Palmar ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Adult Population ◽  
Cross Sectional Study ◽  
Coronary Risk ◽  
Sectional Study ◽  
Predictive Capacity ◽  
Cross Sectional ◽  
Multi Stage ◽  
Risk Event ◽  
Hs Crp

Background: Insulin resistance (IR) is a metabolic disorder related to atherosclerosis. Its measurement is of great importance not only as a marker of diabetes but also for cardiovascular disease. The aim of this research study was to evaluate the relationship between various IR indices and coronary risk in an adult population from Maracaibo city, Venezuela. Methods: The Maracaibo City Metabolic Syndrome Prevalence Study is a descriptive, cross-sectional study with random and multi-stage sampling. In this sub study, 1272 individuals of both genders were selected with the measurement of basal insulin and coronary risk according to the Framingham-Wilson formula calibrated for our population. The insulin resistance indices evaluated were HOMA2-IR, triglycerides and glucose index (TyG) and triglycerides/HDL ratio (TG/HDL). The predictive capacity and association between each index and the coronary risk event in 10 years were determined. Results: Of the evaluated population, 55.2% were female, 34.8% had a coronary risk ≥5% in 10 years, with the TG/HDL and TyG indices showing the highest AUC 0.712 (0.681-0.743) and 0.707 (0.675-0.739), respectively; compared to HOMA2-IR. Both were also the indices most associated with increased coronary risk, especially TG/HDL ≥3 with a higher association [OR = 2.83 (1.74-4.61); p<0.01] after multivariable adjustment. Conclusions: TyG (≥4.5) and TG/HDL (≥3) indices showed a great predictive capacity of higher coronary risk, with being TG/HDL more associated even after adjusting for abdominal obesity and hs-CRP. Therefore, these represent useful tools for determining IR.

HIGH PREVALENCE OF MALNUTRITON AND WORM INFECTION AMONG VAN KIEU AND PAKOH CHILDREN AGED 12-36 MONTHS IN DAKRONG DISTRICT, QUANG TRI PROVINCE

2012 ◽  
pp. 129-134
Author(s):  
Thi Lan Tran ◽  
Thi Huong Le ◽  
Xuan Ninh Nguyen
Keyword(s):  
Cross Sectional Study ◽  
Age Group ◽  
Infection Status ◽  
Sectional Study ◽  
Group Recommendation ◽  
Related Factors ◽  
Normal Children ◽  
Cross Sectional ◽  
High Prevalence ◽  
Very High

Objectives: Assess the nutritional status, worm infection status and some related factors among children aged 12-36 months of Dakrong district, Quang Tri province. Subject and method: A cross sectional study was carried out in 2010, in 680 children aged 12-36 months in 4 communes of Dakrong district, Quang Tri province. Results: The malnutrition rate was 55.0% for underweight, 66.5% for stunting and 16.2% for wasting. The prevalence of malnutrition increases by age group. The prevalence of worm infection was 31.6%, the highest prevalence was belong to Ascaris infection (24.6%), followed by Hookworm and Trichuris (6.5% and 6.2%, respectively). The prevalence of worm infection among children under two is very high (27.0%). The prevalence of worm infection was distributed quite equally between the malnutrition children group and normal children group. Recommendation: Early deworming forchildren from 12 months should be considered as important strategy against the malnutrition of children in Dakrong district, Quang Tri province

scholarly journals Association between procrastination, white-collar work and obesity in Japanese male workers: a cross-sectional study

BMJ Open ◽  
2019 ◽  
Vol 9 (11) ◽  
pp. e029931 ◽  
Author(s):  
Akihiko Narisada ◽  
Kohta Suzuki
Keyword(s):  
Weight Gain ◽  
White Collar ◽  
Cross Sectional Study ◽  
Blue Collar ◽  
Sectional Study ◽  
Related Factors ◽  
Cross Sectional ◽  
Adult Weight ◽  
Japanese Male ◽  
Male Workers

ObjectiveTo investigate the associations among procrastination (time inconsistency), work environment and obesity-related factors in Japanese male workers.DesignCross-sectional study.SettingData were collected at two work sites of Japanese electronics manufacturing company in 2015.Participants795 full-time male workers in a Japanese electric company, aged 35–64 years, who underwent health checkups in 2015.Main outcome measuresBody mass index (BMI), adult weight change, obesity (BMI ≥25 kg/m2), adult weight gain over 10 kg (AWG10) and metabolic syndrome (MetS). Multivariable linear and logistic regression analyses were performed to assess the associations of procrastination assessed by using a one-item questionnaire and white-collar and blue-collar work with obesity-related factors.ResultsWhite-collar workers with high procrastination levels showed positive associations with BMI (B: 0.75, 95% CI 0.06 to 1.44) and adult weight change (B: 1.77, 95% CI 0.26 to 3.29), and had increased odds of AWG10 (OR: 1.85, 95% CI 1.04 to 3.29) and MetS (OR: 2.29 95% CI 1.18 to 4.44) after adjustment for age, education, work-related factors and lifestyle factors. However, such positive associations were not observed among blue-collar workers.ConclusionsProcrastination and white-collar work might have a joint effect on weight gain during adulthood and consequential obesity.

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