scholarly journals EFFECT OF LEPR AND GR GENE POLYMORPHISMS ON HEALTH STATUS OF MOTHERS WITH METABOLIC DISORDERS AND THEIR NEWBORNS

2020 ◽  
Vol 20 (3) ◽  
pp. 20-25
Author(s):  
V.I. Pokhуlko ◽  
Yu.I. Cherniavska ◽  
S.M. Tsvirenko ◽  
Z.I. Rossokha ◽  
Yu.Yu. Klymchiuk
Keyword(s):  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Body Mass ◽  
Gene Polymorphisms ◽  
Metabolic Disorders ◽  
Cross Sectional Study ◽  
Control Group ◽  
Genetic Determinants ◽  
Cross Sectional ◽  
Prevalence Of Obesity

The high prevalence of obesity and metabolic syndrome throughout the world over the past two decades provided the grounds to the WHO to consider overweight as a non-infectious pandemic. Among the factors that negatively affect the metabolism, result in metabolic disorders and obesity there are genetic, prenatal, diet-related, somatic, psychogenic and others. Analysis of LEPR and GR gene polymorphisms among mothers and their newborns can be an important component in the prediction of metabolic disorders and obesity. The aim of this study was to analyze the presence of clinical and genetic determinants of metabolic syndrome in mothers and their newborns. Materials and methods. A cross-sectional study of 42 pairs of mothers and newborns was performed; we analyzed their anthropometric, clinical and laboratory parameters and, in particular, 2 types of genetic polymorphisms (LEPR rs1137101 and GR, BClI polymorphism). The main group consisted of 15 mother-child pairs, where the woman was clinically obese (body mass index more than 30), the comparison group included 27 mother-child pairs, where the women were overweight (body mass index more than 25). Results. Obese mothers were significantly more likely to have a miscarriage (p = 0.01). Children from obese mothers had significantly higher percentiles of birth weight compared to the control group (60.9 ± 7.7 and 49.75 ± 4.5, respectively, p = 0.05). The GG genotype of the GR gene was associated with more common indications for hospitalization (p = 0.012), rapid delivery (p = 0.01), umbilical cord entanglement around the neck of the foetus (p = 0.012). Among the children- carriers of the GG BclI genotype GR, cardio-metabolic disorders detected by the auscultation of the heart (arrhythmia, functional noise) were found out as significantly more frequent (p = 0.003). Conclusion. The study did not find the associations between LEPR and GR gene polymorphism in obese mothers and the development of overweight in their children, but the study revealed an adverse effect of polymorphic variants on obstetric and gynaecological status of mothers, labour and adaptation of infants in the early neonatal period.

scholarly journals Sex Differences in the Influence of Sleep on Body Mass Index and Risk of Metabolic Syndrome in Middle-Aged Adults

Healthcare ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 561
Author(s):  
Hyun-E Yeom ◽  
Jungmin Lee
Keyword(s):  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Body Mass ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Middle Aged ◽  
Cross Sectional ◽  
Aged People ◽  
Middle Aged Adults ◽  
The Impact

Poor sleep and obesity are intimately related to cardiovascular diseases. We aimed to examine whether the influence of sleep and body mass index (BMI) on the risk of metabolic syndrome (MetS) differed by sex in middle-aged people. It is a cross-sectional study of 458 Korean participants who completed self-administered surveys; the data were analyzed using the PROCESS macro for SPSS. We found that both sleep and BMI were significant predictors of MetS risk in women, particularly by the role of BMI connecting the impact of sleep to MetS risk. However, the association was not found in men, showing that BMI, but not sleep, was a significant predictor of MetS. This sex-related difference was due to different relationships between sleep and BMI, indicating that BMI was more dependent on sleep quality for women than for men. Therefore, a sex-specific approach to decrease the risk of MetS is warranted.

scholarly journals Correlation of neck circumference with abdominal circumference and body mass index in patients with metabolic syndrome in a hospital from northern Peru: a cross-sectional study

2021 ◽  
Author(s):  
Virgilio E Failoc-Rojas ◽  
Eduardo Díaz-Guevara ◽  
Diego Chambergo-Michilot ◽  
Sandra Zeña-Ñañez ◽  
Karoline Sánchez-Sánchez ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Body Mass ◽  
Cross Sectional Study ◽  
Neck Circumference ◽  
Abdominal Circumference ◽  
Homogeneous Distribution ◽  
Sectional Study ◽  
Cross Sectional ◽  
Anthropometric Parameter

Abstract Background We aimed to evaluate the correlation of neck circumference with abdominal circumference and body mass index in patients with metabolic syndrome in Chocope, Trujillo. Methods This cross-sectional study included patients with untreated metabolic syndrome. Health professionals measured the anthropometric parameters of participants as per the international guidelines. Pearson’s correlation coefficients and single and multiple regression models were used for analysis. Results Data from 250 participants showed homogeneous distribution with respect to age, comorbidities, and biochemical properties according to sex. The mean age was 53.6 years. A positive correlation of neck circumference with abdominal circumference (r = 0.6 and 0.74 for females and males, respectively) and body mass index (r = 0.51 and 0.65 for females and males, respectively) was observed. The linear correlation model showed that a 1-cm increase in neck circumference increased the abdominal circumference by 2.20 cm (p < 0.001) and 2.27 cm (p < 0.001) and body mass index by 0.72 kg/m2 (p < 0.001) and 0.94 kg/m2 (p < 0.001) in males and females, respectively, independent of other variables. Conclusions In participants with metabolic syndrome in this study, neck circumference showed a strong correlation with abdominal circumference and body mass index. This anthropometric parameter can be extremely useful for evaluating obesity among patients with metabolic syndrome.

scholarly journals Factors Influencing Total Serum IgE in Adults: The Role of Obesity and Related Metabolic Disorders

2020 ◽  
pp. 1-9
Author(s):  
Iago Carballo ◽  
Manuela Alonso-Sampedro ◽  
Elena Gonzalez-Conde ◽  
Juan Sanchez-Castro ◽  
Carmen Vidal ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Body Mass ◽  
Cross Sectional Study ◽  
Normal Weight ◽  
Total Serum ◽  
Cross Sectional ◽  
Positive Skin ◽  
Serum Ige ◽  
Definition Of

<b><i>Background and Aim:</i></b> Few reports have investigated the association between metabolic abnormalities (obesity and related metabolic syndrome) and total serum IgE concentrations. <b><i>Methods:</i></b> This cross-sectional study included a random sample of 1,516 adult individuals (44.7% men, aged 18–91 years, median 52 years) from a single municipality in Spain. Serum IgE was measured in the ADVIA Centaur system. Atopy was defined by the presence of positive skin prick tests to a panel of common aeroallergens in the area. Body mass index and data related to the definition of metabolic syndrome were obtained from all participants. Alcohol consumption, smoking, and regular physical exercise were assessed by a questionnaire. <b><i>Results:</i></b> Atopy (present in 21.9% of 1,514 evaluable individuals) was the strongest factor determining serum IgE concentrations. Male sex and heavy alcohol drinking were independently associated with higher IgE concentrations, particularly in the non-atopic individuals. Body mass index was positively associated with IgE concentrations, independent of potential confounders, although the effect was only evident among non-atopic individuals. In that group, median IgE concentrations in normal-weight and obese individuals were 15 and 24 kU/L, respectively (<i>p</i> &#x3c; 0.001); likewise, obesity was associated with high (&#x3e;100 kU/L) IgE concentrations after adjusting for potential confounders (odds ratio: 1.79, 95% confidence interval: 1.26–2.56, <i>p</i> = 0.001). The presence of metabolic syndrome and its components, particularly abdominal obesity and hyperglycaemia, was also positively and independently associated with higher IgE concentrations in non-atopic individuals. <b><i>Conclusions:</i></b> Obesity and metabolic syndrome components are associated with high total serum IgE concentrations, particularly in non-atopic individuals.

scholarly journals Obesity and metabolic comorbidity in bipolar disorder: do patients on lithium comprise a subgroup? A naturalistic study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jake Prillo ◽  
Jocelyn Fotso Soh ◽  
Haley Park ◽  
Serge Beaulieu ◽  
Outi Linnaranta ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Bipolar Disorder ◽  
Body Mass ◽  
Type Ii Diabetes ◽  
Tertiary Care ◽  
Type Ii ◽  
Cross Sectional ◽  
Wide Range ◽  
Prevalence Of Obesity

Abstract Background Bipolar disorders (BD) are associated with increased prevalence of obesity and metabolic syndrome (MetS). Nevertheless, there is a wide range in prevalence estimates, with little known about the contributions of pharmacotherapy. It has been suggested that lithium might have a more favorable metabolic profile. We hypothesized that lithium use is associated with less increased body mass index (BMI), MetS, and type II diabetes, when compared with non-lithium users (those on anticonvulsants, second-generation antipsychotics). Methods Cross-sectional study of 129 patients aged 18–85 with bipolar disorder, followed at tertiary care clinics in Montreal. Patients using lithium were compared with those not on lithium, for body mass index and metabolic syndrome. Results The prevalence of obesity and metabolic syndrome in the sample of lithium-using patients with BD was 42.4 and 35.7% respectively, with an average BMI of 29.10 (+/− 6.70). Lithium and non-lithium groups did not differ in BMI or prevalence of MetS. However, compared to the non-lithium group, lithium users had lower hemoglobin A1C (5.24 +/− 0.53 versus 6.01 +/− 1.83, U = 753.5, p = 0.006) and lower triglycerides (1.46 +/− 0.88 versus 2.01 +/− 1.25, U = 947, p = 0.020). Conclusions There is a high prevalence of obesity and metabolic syndrome among patients with bipolar disorder. However, this did not appear to be associated with lithium use, when compared to those not on lithium. The lithium subgroup was also associated with lower prevalence of type II diabetes. Future prospective and intervention studies with larger sample sizes are necessary to further explore the association between lithium and insulin resistance, as well as its underlying mechanisms.

scholarly journals Association between demographics, socioeconomic status and metabolic syndrome in American adults: a cross-sectional study

2019 ◽  
Author(s):  
Yang Liu ◽  
Liyan Jiang ◽  
Mengru Zeng
Keyword(s):  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Socioeconomic Status ◽  
Body Mass ◽  
Family Income ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Negatively Associated ◽  
Race Ethnicity

Abstract Background Evidence regarding the association between demographics, socioeconomic status and metabolic syndrome is limited. We aim to investigate whether demographics and socioeconomic status are correlated with metabolic syndrome using data from National Health and Nutrition Examination Survey through 2013/2014 to 2015/2016.Methods A total of 4313 selected participants were included in this cross-sectional study. The independent variables were demographics (age, gender,and race/ethnicity) and socioeconomic status (the ratio of family income to poverty). The dependent variable was metabolic syndrome. The covariates included data release cycle, education level, marital status, dietary data, health insurance, average alcoholic drinks, current smoking, sedentary activity hours, physical activity minutes, and body mass index. Logistic regression analysis was used to evaluate the association between demographics, socioeconomic status and metabolic syndrome.Results In fully-adjusted models, we found that age was positively associated with metabolic syndrome (OR:1.05, 95%CI:1.04-1.05); compared with the male group, female was positively associated with metabolic syndrome in participants with body mass index under 25 kg/m 2 (OR:1.84, 95%CI:1.07-3.18) whereas it was negatively associated with metabolic syndrome in those with body mass index equal to or greater than 30 kg/m 2 (OR:0.62, 95%CI:0.48-0.81); compared with Mexican American, non-Hispanic Asian and other race/ethnicity were positively associated with metabolic syndrome in participants with body mass index under 25 kg/m 2 (OR: 7.30, 95%CI: 1.50-35.62 and OR: 6.09, 95%CI: 1.25-29.74, respectively) while non-Hispanic Black was negatively associated with metabolic syndrome in participants with body mass index equal to or greater than 25 kg/m 2 and less than 30 kg/m 2 (OR:0.58, 95%CI:0.36-0.92); there was no significant association between the ratio of family income to poverty and metabolic syndrome.Conclusions Among the population of nationally representative non-pregnant American adults, there is a correlation between demographics and metabolic syndrome whereas no correlation between socioeconomic status and metabolic syndrome after multivariates adjustment. Healthcare interventions targeting those with metabolic syndrome including older individuals, obese males, along with females, non-Hispanic Asian and other race/ethnicity with BMI under 25 kg/m 2 are required to address these disparities.

scholarly journals Magnitude of metabolic syndrome in Gondar town, Northwest Ethiopia: A community-based cross-sectional study

PLoS ONE ◽  
2021 ◽  
Vol 16 (10) ◽  
pp. e0257306
Author(s):  
Solomon Mekonnen Abebe ◽  
Abayneh Girma Demisse ◽  
Shitaye Alemu ◽  
Bewketu Abebe ◽  
Nebiyu Mesfin
Keyword(s):  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Body Mass ◽  
Cross Sectional Study ◽  
Northwest Ethiopia ◽  
Kappa Statistics ◽  
Sectional Study ◽  
Community Based ◽  
Cross Sectional ◽  
Awareness Campaigns

Background Metabolic syndrome (MetS) is becoming a major public health problem globally; it is clear that the burden of MetS is rapidly increasing the rates of non-communicable diseases (NCD). In Ethiopia studies done so far have shown a large disparity in magnitude of the prevalence of MetS and were mainly institution-based studies. Therefore, this study assess the prevalence of MetS among adults who are residing in Gondar city using Adult Treatment Panel III (ATP III) and the International Diabetes Federation (IDF) assessment tool. The findings are imperative to developing and strengthening national NCD prevention and control programs. Methods This study was conducted in Gondar city Northwest Ethiopia in 2018. It employs a community-based cross-sectional study design among 3,227 individuals 18 years of age or older. Data was collected using the WHO stepwise tool, lipid profile, blood pressure (BP), waist circumference (WC) body mass index (BMI), fasting blood glucose levels (FG), and anthropometric measurements. The prevalence estimation was made along with a 95% confidence interval (CI). The Kappa statistic was used to analyze the statistical agreement between ATP III and IDF definitions of the MetS. Stratified analysis was also performed for description and analysis components using ATP III and IDF as an outcome. Result Of the total study participants (3227), 3059 (94.8%) were included in the final analysis and 52.5% were female. The mean (±SD) age of the study participant was 40.8 years (16.2 ±SD). The overall prevalence of MetS using ATP III was 11.2% [95%CI: 10.1, 12.3] and using IDF was 11.9% [95%CI: 10.8, 13.2]. The sex-specific proportion was high in females rather than males irrespective of the criteria. The overall level of agreement between ATP III and IDF prevalence was 91.7% and the Kappa statistics was 0.594. Older age, low-density lipoprotein cholesterol, body mass index, being female, born in an urban area, consumption of an alcoholic drink in the preceding 30 days, and non-fasting practice was significantly associated with MetS. Conclusion and recommendation There was a higher prevalence of metabolic syndrome among females than males irrespective of metabolic syndrome diagnostic criteria. This also shows good agreement between ATP III and IDF. Being female, urban birthplace, frequent alcohol consumption in the last 30 days, and non-fasting practice are factors associated with higher rates of metabolic syndrome. Hence, awareness campaigns, physical exercise, and nutrition education intervention should be undertaken to promote health behavioral practice.

scholarly journals Correlation of Neck Circumference With Abdominal Circumference and Body Mass Index in Patients With Metabolic Syndrome in a Hospital From Northern Peru: A Cross-sectional Study

2021 ◽  
Author(s):  
Virgilio E Failoc-Rojas ◽  
Eduardo Díaz-Guevara ◽  
Diego Chambergo-Michilot ◽  
Sandra Zeña-Ñañez ◽  
Karoline Sánchez-Sánchez ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Body Mass ◽  
Cross Sectional Study ◽  
Neck Circumference ◽  
Abdominal Circumference ◽  
Homogeneous Distribution ◽  
Sectional Study ◽  
Cross Sectional ◽  
Anthropometric Parameter

Abstract We aimed to evaluate the correlation of neck circumference with abdominal circumference and body mass index in patients with metabolic syndrome in Chocope, Trujillo. This cross-sectional study included patients with untreated metabolic syndrome. Health professionals measured the anthropometric parameters of participants as per the international guidelines. Pearson’s correlation coefficients and single and multiple regression models were used for analysis. Data from 250 participants showed homogeneous distribution with respect to age, comorbidities, and biochemical properties according to sex. The mean age was 53.6 years. A positive correlation of neck circumference with abdominal circumference (r = 0.6 and 0.74 for females and males, respectively) and body mass index (r = 0.51 and 0.65 for females and males, respectively) was observed. The linear correlation model showed that a 1-cm increase in neck circumference increased the abdominal circumference by 2.20 cm (p < 0.001) and 2.27 cm (p < 0.001) and body mass index by 0.72 kg/m2 (p < 0.001) and 0.94 kg/m2 (p < 0.001) in males and females, respectively, independent of other variables. In participants with metabolic syndrome in this study, neck circumference showed a strong correlation with abdominal circumference and body mass index. This anthropometric parameter can be extremely useful for evaluating obesity among patients with metabolic syndrome.

scholarly journals Circulating ErbB3/HER3 Levels are Associated with Increased Risk of Hypertension with Overweight: A Cross-Sectional Study

2020 ◽  
Author(s):  
Lijun Zhu ◽  
Zhengmei Fang ◽  
Yuelong Jin ◽  
Weiwei Chang ◽  
Mengyun Huang ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Cardiovascular Disease ◽  
Body Mass Index ◽  
Body Mass ◽  
Conditional Logistic Regression ◽  
Cross Sectional Study ◽  
Enzyme Linked Immunosorbent Assay ◽  
Control Group ◽  
Cross Sectional ◽  
Increased Risk

Abstract Background: Hypertension and overweight are both independent risk factors for cardiovascular disease，and being overweight can more likely to develop high blood pressure. Recent research has shown that ErbB3/HER3 played a considerable role in the development of cardiovascular disease. However, ErbB3 levels effects in the hypertensive overweight patients are unknown. This study aimed to assess the association between ErbB3 levels and hypertension with overweight in Chinese population. Methods: 128 Chinese adults aged 33-79 years, both sexes, underwent evaluation of height and weight, blood pressure, biochemical indicators and ErbB3 levels. Plasma ErbB3 levels was assessed by the Enzyme-linked immunosorbent assay (ELISA), and body mass index (BMI) was calculated as body weight divided by height squared. Participants were allocated in three groups according to blood pressure and BMI: healthy control group (CNT; n = 31; normotensive and nonoverweight), hypertension group (HT; n = 33; hypertension and nonoverweight) and hypertension with overweight group (HTO; n = 64; hypertension and overweight). A 2-tailed P<0.05 was defined to be statistically significant. Results: The difference in mean of ErbB3 levels in three groups was not significant, but had a linear decrease in males, in CNT (1.13±0.36), HT (1.03±0.36) and HTO (0.84±0.26) ng/ml, with P was 0.007. In drinking population, the ErbB3 was significantly reduced in the HTO group as compared with the CNT and HT groups (0.76±0.23 versus 1.18±0.37 and 1.20±0.30, respectively). ErbB3 levels was negatively correlated with DBP in males(r=-0.293, P=0.012), in smoking populations (r=-0.47, P=0.004) and drinking populations (r=-0.387, P=0.008). Besides, BMI in males and in drinking populations and UA in males presented negatively correlations with ErbB3 (p＜0.05). The multivariate conditional logistic regression showed that plasma ErbB3 levels was associated with reduced risk for HTO in males (OR 0.054; 95% CI: 0.007-0.412) and drink group(OR 0.002; 95% CI: 0.000-0.101). Conclusions：The apparent association between lower ErbB3 levels and overweight hypertensive patients suggested that ErbB3 may contribute to the pathogenesis to hypertension with overweight, with BMI, gender, and drinking all potentially modulating the process.Keywords: ErbB3; Hypertension; Overweight; Body mass index.

No Difference in Magnesium Intake between Obese Women and Healthy Controls

2019 ◽  
Vol 89 (3-4) ◽  
pp. 118-124
Author(s):  
Jennifer Beatriz Silva Morais ◽  
Taynáh Emannuelle Coelho de Freitas ◽  
Juliana Soares Severo ◽  
Ana Raquel Soares de Oliveira ◽  
Kyria Jayanne Clímaco Cruz ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Dietary Intake ◽  
Body Mass ◽  
Energy Homeostasis ◽  
Cross Sectional Study ◽  
Control Group ◽  
Obese Women ◽  
Cross Sectional ◽  
And Control ◽  
Macronutrient Distribution

Abstract. Magnesium is a predominantly intracellular ion and plays an important role in energy metabolism and in the maintenance of energy homeostasis. This study aimed to estimate the dietary intake of magnesium and its association with adiposity parameters in obese women. This cross-sectional study included 125 women, aged between 20 and 50 years, who were divided into two groups: obese group (n = 62) and control group (n = 63). The control group was age-matched. Adiposity parameters determined were weight, body mass index and waist circumference as well as the intake of calories, macronutrients, and magnesium were calculated. The cut-off for obesity was body mass index between 30.0 and 39.9 kg/m2 and for control group was between 18.5 and 24.9 kg/m2 Food intake was calculated using 3-day food records, and energy consumption as well as the intake of macronutrients and magnesium was calculated using the NutWin software version 1.5. The reference values used were the Acceptable Macronutrient Distribution Range for macronutrients and the Estimated Average Requirement (EAR) for magnesium. The average levels of magnesium found in the diet were lower than those recommended (169.1 ± 64.5 mg Mg/day and 158.5 ± 42.9 mg Mg/day, for obese women and control group, respectively) and the differences between the groups were not statistically different (p > 0.05). The correlation analysis indicated that the association between the dietary intake of magnesium and adiposity was not significant. The results of this study indicate that dietary magnesium does not influence the adiposity parameters in obese women.

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