scholarly journals Body mass index was linked with multi-cardiometabolic abnormalities in Chinese children and adolescents: a community-based survey

2022 ◽  
Vol 22 (1) ◽  
Author(s):  
Huijing He ◽  
Li Pan ◽  
Jianwei Du ◽  
Yuming Jin ◽  
Pengben Jia ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Body Mass Index ◽  
Uric Acid ◽  
Children And Adolescents ◽  
Body Mass ◽  
South China ◽  
Elevated Serum ◽  
Density Lipoprotein ◽  
Normal Weight ◽  
Chinese Children And Adolescents

Abstract Background Evidence on how body mass index (BMI) influence cardiometabolic health remains sparse in Chinese children and adolescents, especially in south China. We aim to investigate the effect of overweight and/or obesity on high blood pressure (HBP), dyslipidemia, elevated serum uric acid (SUA) and their clustering among children and adolescents in an island in South China. Methods Using multi-stage cluster sampling method, 1577 children and adolescents aged 7–18 in Hainan province, south China, participated in the survey. The association between body mass index and cardiometabolic indexes were explored. Overweight and obesity were classified according to criteria of World Health Organization for children and adolescents aged 5 to 19. Restricted cubic spline models were used to examine the possible non-linear association between BMI and cardiometabolic profiles. Multivariable logistic regression models were fitted to examine the effect size of BMI on cardiometabolic disorders including HBP, elevated SUA and dyslipidemia. Comorbidity of at least two cardiometabolic abnormalities (HBP, dyslipidemia, elevated SUA) was defined as clustering of cardiometabolic risk factors. Results Comparing with normal weight and underweight subjects, overweight/obese youths had higher levels of BP, SUA, triglyceride, low-density lipoprotein but lower level of high-density lipoprotein. Overweight/obese youth had higher risk of dyslipidemia (OR:2.89, 95%CI: 1.65–5.06), HBP (OR:2.813, 95%CI: 1.20–6.59) and elevated SUA (OR: 2.493, 95%CI: 1.45–4.27), respectively, than their counterparts. The sex-, age-adjusted prevalence of abnormalities clustering was 32.61% (95% CI: 20.95% to 46.92%) in overweight/obesity group, much higher than in the under/normal weight group (8.85%, 95%CI: 7.44% to 10.48%). Conclusion Excess adiposity increased the risk of elevated serum uric acid, serum lipids, blood pressure and their clustering among children and adolescents in south China.

scholarly journals Serum Periostin as a Potential Biomarker in Pediatric Patients with Primary Hypertension

2021 ◽  
Vol 10 (10) ◽  
pp. 2138
Author(s):  
Michał Szyszka ◽  
Piotr Skrzypczyk ◽  
Anna Stelmaszczyk-Emmel ◽  
Małgorzata Pańczyk-Tomaszewska
Keyword(s):  
Blood Pressure ◽  
Body Mass Index ◽  
Uric Acid ◽  
Body Mass ◽  
Pediatric Patients ◽  
Univariate Analysis ◽  
Primary Hypertension ◽  
Potential Biomarker ◽  
Arterial Damage ◽  
Serum Periostin

Experimental studies suggest that periostin is involved in tissue repair and remodeling. The study aimed to evaluate serum periostin concentration as potential biomarker in pediatric patients with primary hypertension (PH). We measured serum periostin, blood pressure, arterial damage, biochemical, and clinical data in 50 children with PH and 20 age-matched healthy controls. In univariate analysis, children with PH had significantly lower serum periostin compared to healthy peers (35.42 ± 10.43 vs. 42.16 ± 12.82 [ng/mL], p = 0.038). In the entire group of 70 children serum periostin concentration correlated negatively with peripheral, central, and ambulatory blood pressure, as well as with aortic pulse wave velocity (aPWV). In multivariate analysis, periostin level significantly correlated with age (β = −0.614, [95% confidence interval (CI), −0.831–−0.398]), uric acid (β = 0.328, [95%CI, 0.124–0.533]), body mass index (BMI) Z-score (β = −0.293, [95%CI, −0.492–−0.095]), high-density lipoprotein (HDL)-cholesterol (β = 0.235, [95%CI, 0.054–0.416]), and triglycerides (β = −0.198, [95%CI, −0.394–−0.002]). Neither the presence of hypertension nor blood pressure and aPWV influenced periostin level. To conclude, the role of serum periostin as a biomarker of elevated blood pressure and arterial damage in pediatric patients with primary hypertension is yet to be unmasked. Age, body mass index, uric acid, and lipid concentrations are key factors influencing periostin level in pediatric patients.

Aerobic Capacity, Obesity, and Atherosclerotic Risk Factors in Male Adolescents

PEDIATRICS ◽  
1985 ◽  
Vol 75 (5) ◽  
pp. 813-818
Author(s):  
Raymond R. Fripp ◽  
James L. Hodgson ◽  
Peter O. Kwiterovich ◽  
John C. Werner ◽  
H. Gregg Schuler ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Body Mass Index ◽  
Regression Analysis ◽  
Body Mass ◽  
Linear Regression Analysis ◽  
Density Lipoprotein ◽  
Plasma Triglyceride ◽  
Lipoprotein Cholesterol ◽  
Atherosclerotic Risk Factors

Correlations between aerobic capacity, obesity, and atherosclerotic risk factors were evaluated in adolescents with low-to-moderate levels of physical fitness. Subjects with higher levels of fitness had a more favorable risk profile with decreased body mass index, lower systolic and diastolic blood pressure and plasma triglyceride levels, and higher plasma high-density lipoprotein-cholesterol levels. Simple linear regression analysis revealed an association between body mass index and blood pressure, plasma triglyceride and plasma highdensity lipoprotein-cholesterol. The level of aerobic fitness as determined by exercise duration was also associated with the same atherosclerotic risk factors. However, multiple linear regression analysis demonstrated that body mass index provided the largest explanation, by those variables examined, of the interindividual variance in blood pressure, plasma triglyceride, and high-density lipoprotein-cholesterol. Aerobic fitness contributed only minimally to the variation in these risk factors. These findings suggest that if aerobic conditioning is used to modify atherosclerotic risk factors, it should be accompanied by a reduction in weight in adolescents with low-to-moderate levels of physical fitness.

Positive Association Between Body Mass Index and Hematologic Parameters, Including RBC, WBC and Platelet Count, in Korean Children and Adolescent

2021 ◽  
Author(s):  
Hwal Rim Jeong ◽  
Young Seok Shim
Keyword(s):  
Body Mass Index ◽  
Children And Adolescents ◽  
Body Mass ◽  
Linear Regression Analysis ◽  
Positive Association ◽  
Multiple Linear Regression Analysis ◽  
Normal Weight ◽  
Overweight And Obesity ◽  
Korean Children ◽  
Children And Adolescent

Abstract Objective: To investigate the associations between hematologic parameters and obesity in children and adolescents.Methods: A total of 7,997 subjects (4,259 boys, 3,738 girls) aged 10–18 years was enrolled and hematologic parameters, including WBC, RBC, Hb, Hct, and platelet levels, were recorded and compared against body mass index (BMI) classified into normal-weight, overweight, and obesity groups.Results : The obesity group had significantly higher mean levels of WBC (7.16 vs. 6.16 (x103/mm3), p<0.001), RBC (4.90 vs. 4.82 (x106/mm3), p<0.001), Hb (14.07 vs. 13.99 (g/dL), p<0.05), Hct (42.31 vs. 41.91 (%), p<0.001) and platelets (311.87 vs. 282.66 (x103/mm3), p<0.001) than the normal-weight group after adjusting for obesity and sex. BMI SDS was significantly positively associated with WBC (β=0.275, p<0.001), RBC (β=0.028, p<0.001), Hb (β=0.034, p<0.001), Hct (β=0.152, p<0.001), and platelets (β=8.372, p<0.001) after adjusting for age, sex, and possible socioeconomic confounders in a multiple linear regression analysis.Conclusion: Higher BMI is associated with elevated WBC, RBC, Hb, Hct and platelet counts in children and adolescents. Because higher hematologic parameters are potential risk factors for obesity-related morbidity, more attention should be paid to evaluating and interpreting hematologic parameters in children and adolescents with obesity

scholarly journals Blood pressure levels and body mass index in Brazilian adults with Down syndrome

2016 ◽  
Vol 134 (4) ◽  
pp. 330-334 ◽  
Author(s):  
Felipe Pucci ◽  
Guilherme Machado ◽  
Edcarlo Solera ◽  
Fernanda Cenovicz ◽  
Christian Arruda ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Body Mass Index ◽  
Down Syndrome ◽  
Body Mass ◽  
Normal Weight ◽  
Class Iii ◽  
Special Schools ◽  
Cross Sectional ◽  
Obesity Class ◽  
Age Range

ABSTRACT CONTEXT AND OBJECTIVE: Increased life expectancy among people with Down syndrome (DS) has introduced new environmental factors that may affect blood pressure (BP) and/or lead to obesity in this population. The aim here was to investigate BP levels and body mass index (BMI) in adults with DS, correlating these data with the patients' sex and age. DESIGN AND SETTING: Analytical cross-sectional observational study conducted in special schools in Curitiba (PR), Brazil. METHODS: 97 adult patients were included. BP was measured in accordance with the established guidelines. BMI was calculated by dividing the weight by the height squared (kg/m2). RESULTS: Sex had no influence on BMI; nor did systolic BP (SBP) or diastolic BP (DBP). The age range was from 18 to 56 years. No correlation was observed between increasing age and greater BMI or BP. Eighty-six individuals (88.7%) presented normal BP, eleven (11.3%) prehypertension and none hypertension. Twenty patients (20.4%) presented BP lower than 90 × 60 mmHg. BMI ranged from 18 to 48 kg/m2 (mean of 28.8 ± 3.92 kg/m2): 21.9% had normal weight; 40.7% were overweight; and 25.3% had obesity class I, 9.9% class II and 2.2% class III. Higher BMI was associated with significantly greater SBP and DBP (P = 0.0175 and P = 0.0015). CONCLUSION: Sex and age did not influence SBP, DBP or BMI in Brazilian adults with DS. Higher BMI was associated with greater BP (both systolic and diastolic).

scholarly journals Body Mass Index Change as a Predictor of Biometric Changes following an Intensive Lifestyle Modification Program

2019 ◽  
Vol 2019 ◽  
pp. 1-5 ◽  
Author(s):  
David Drozek ◽  
Alexandria DeFabio ◽  
Randi Amstadt ◽  
Godwin Y. Dogbey
Keyword(s):  
Blood Pressure ◽  
Body Mass Index ◽  
Body Mass ◽  
Lifestyle Modification ◽  
Density Lipoprotein ◽  
Health Improvement ◽  
Blood Levels ◽  
Improvement Program ◽  
Positive Effects ◽  
Lifestyle Modification Program

The initial benefits of lifestyle modification programs such as reduction in chronic and cardiovascular diseases (CVD) risk factors have been well documented. However, such positive effects may deteriorate over time following relapse into inactivity. Timely detection of weight regain leading to the deterioration of the accrued benefits could trigger early resumption of intensive lifestyle intervention. To date, no known cost-effective, noninvasive approach for monitoring long-term outcomes has yet been established. The purpose of this study was to determine if body mass index (BMI) change predicted changes in other CVD biometric markers during an intensive lifestyle modification program. This study was an observational, retrospective review of records of participants from the Complete Health Improvement Program (CHIP). Biomarker changes of participants in this community-based Intensive Therapeutic Lifestyle Modification Program (ITLMP) offered in Athens, Ohio, a rural Appalachian college town, between April 2011 and June 2017 were reviewed retrospectively. BMI, heart rate (Pulse), systolic blood pressure (SBP), diastolic blood pressure (DBP), and fasting blood levels of total cholesterol (TC), low-density lipoprotein (LDL), high-density lipoprotein (HDL), triglycerides (TG), and glucose (FBS) were monitored before and after program completion. Data were analyzed using a multivariate general linear model. The sample analyzed consisted of 620 participants (mean age of 52.3±13.0 years, 74.5% female). Controlling for age and gender, BMI change significantly predicted 5 out of the 8 biomarker changes measured [Wilk’s λ = 0.939, F(8,526) = 4.29, p <.0001]. Specifically, a 1-point BMI decrease was associated with 4.4 units decrease in TC, 3.2 units in LDL, 5.3 units in TG, 2 units in SBP, and 1 unit in DBP (all p values < .05). These results suggest that change in BMI may be a useful predictor of change in other CVD biomarkers’ outcomes during and after an ITLMP participation. Tracking BMI, therefore, could serve as a proxy measure for identifying regressing biomarker changes following participation in an ITLMP leading to a timelier reassessment and intervention. Future studies evaluating the value of BMI as a surrogate for highlighting overall cardiovascular health are warranted.

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