scholarly journals Circulating proinflammatory peptides related to abdominal adiposity and cardiometabolic risk factors in healthy prepubertal children

2011 ◽  
Vol 164 (4) ◽  
pp. 553-558 ◽  
Author(s):  
Sonya V Galcheva ◽  
Violeta M Iotova ◽  
Yoto T Yotov ◽  
Sergio Bernasconi ◽  
Maria E Street
Keyword(s):  
Risk Factors ◽  
Abdominal Obesity ◽  
Cardiometabolic Risk ◽  
Density Lipoprotein ◽  
High Sensitivity ◽  
Cardiometabolic Risk Factors ◽  
Model Assessment ◽  
Cross Sectional ◽  
Prepubertal Children ◽  
Tnf Α

ObjectivesTo analyze the circulating levels of proinflammatory peptides in healthy prepubertal children in relation to abdominal obesity, measured by waist circumference (WC), and to investigate their interactions with cardiometabolic risk factors.Design and methodsA cross-sectional study of 137 healthy prepubertal children with a mean age of 8.0±0.1 years divided into three groups according to their WC as a measure of abdominal obesity: ‘normal-WC’ children (25th–75th percentile, n=48), ‘children at risk’ (75th–90th percentile, n=39), and ‘abdominally obese’ (≥90th percentile, n=50) children. Auxological measurements and blood pressure (BP) were taken. Fasting levels of high-sensitivity C-reactive protein (hsCRP), interleukin 6 (IL6), tumor necrosis factor-α (TNF-α), glucose, insulin, and lipid profile were measured. Insulin resistance (IR) was assessed by homeostasis model assessment of IR (HOMA-IR).ResultsAbdominally obese children had significantly higher BP, insulin, HOMA-IR, total cholesterol and triglycerides (TG) compared with their normal-WC counterparts (P<0.05). HsCRP concentrations increased proportionally with the degree of abdominal obesity (r=0.443, P<0.0001), whereas IL6 and TNF-α were not significantly associated with any of the adiposity variables. After controlling for adiposity, hsCRP was significantly correlated with systolic BP (r=0.257, P=0.004), TNF-α levels were related to high-density lipoprotein cholesterol (HDL-C; r=−0.216, P=0.016) and TG (r=0.196, P=0.029), whereas the relationship between IL6 and HDL-C reduced its magnitude to an insignificant level (r=−0.173, P=0.055).ConclusionsHealthy prepubertal children with abdominal obesity have associated inflammatory and cardiometabolic alterations, interacting with each other.

Association between dietary inflammatory index and cardiometabolic risk factors among Brazilian adolescents: results from a national cross-sectional study

2021 ◽  
pp. 1-24
Author(s):  
Pâmela Ferreira Todendi ◽  
Rafaela Salla ◽  
Nitin Shivappa ◽  
James R. Hebert ◽  
Julianna Ritter ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiometabolic Risk ◽  
Positive Association ◽  
Dietary Factors ◽  
Cardiometabolic Risk Factors ◽  
Model Assessment ◽  
Dietary Inflammatory Index ◽  
Cardiovascular Risks ◽  
Cross Sectional ◽  
Inflammatory Index

Abstract Dietary factors play a role in modulating chronic inflammation and in the development of cardiovascular disease. We aimed to investigate the association between the dietary inflammatory index (DII) and cardiometabolic risk factors among adolescents.A total of 31,684 Brazilian adolescents (12–17 years), from the Study of Cardiovascular Risks in Adolescents (ERICA) were included. Dietary intake was assessed using a 24-hour dietary recall. The E-DII (energy-adjusted)score was calculated based on data for 25available nutrients. The anthropometric profile, blood pressure, lipid profile, glucose, Homeostatic Model Assessment for Insulin Resistance (HOMA-IR), and glycated hemoglobin were measured. Poisson regression models were used to examine the associations between sex-specific quartiles of the E-DII and cardiometabolic risk factors. In the energy-adjusted models, when comparing a high pro-inflammatory diet (quartile 4) withananti-inflammatory diet (quartile 1), there was a positive association with high HOMA-IR among boys(prevalence ratios (PR)Q4=1.37, 95%CI: 1.04–1.79); and with high fasting glucose (PRQ4 = 1.96, 95%CI: 1.02–3.78), high triglycerides (PRQ4 = 1.92, 95%CI: 1.06–3.46),low HDL-c (PRQ4 = 1.16, 95%CI: 1.02–1.32) and high LDL-c (PRQ4 = 1.93, 95%CI: 1.12–3.33) among girls. Additionally, a moderately pro-inflammatory diet was positively associated with high HOMA-IR (PRQ2 = 1.14, 95%CI: 1.02–1.29) among girls, and high total cholesterol (PRQ3 = 1.56, 95%CI: 1.20–2.01) among boys.In conclusion, this study provides new evidence on the association between inflammatory diets with cardiometabolic risk factors among adolescents.

scholarly journals Association between access to social service resources and cardiometabolic risk factors: a machine learning and multilevel modeling analysis

BMJ Open ◽  
2019 ◽  
Vol 9 (3) ◽  
pp. e025281 ◽  
Author(s):  
Seth A Berkowitz ◽  
Sanjay Basu ◽  
Atheendar Venkataramani ◽  
Gally Reznor ◽  
Eric W Fleegler ◽  
...  
Keyword(s):  
Machine Learning ◽  
Risk Factors ◽  
Cardiometabolic Risk ◽  
Learning Algorithm ◽  
Density Lipoprotein ◽  
Social Needs ◽  
Cardiometabolic Risk Factors ◽  
Secondary Outcome ◽  
Haemoglobin A1c ◽  
Cross Sectional

ObjectivesInterest in linking patients with unmet social needs to area-level resources, such as food pantries and employment centres in one’s ZIP code, is growing. However, whether the presence of these resources is associated with better health outcomes is unclear. We sought to determine if area-level resources, defined as organisations that assist individuals with meeting health-related social needs, are associated with lower levels of cardiometabolic risk factors.DesignCross-sectional.SettingData were collected in a primary care network in eastern Massachusetts in 2015.Participants and primary and secondary outcome measures123 355 participants were included. The primary outcome was body mass index (BMI). The secondary outcomes were systolic blood pressure (SBP), low-density lipoprotein (LDL) cholesterol and haemoglobin A1c (HbA1c). All participants were included in BMI analyses. Participants with hypertension were included in SBP analyses. Participants with an indication for cholesterol lowering were included in LDL analyses and participants with diabetes mellitus were included in HbA1c analyses. We used a random forest-based machine-learning algorithm to identify types of resources associated with study outcomes. We then tested the association of ZIP-level selected resource types (three for BMI, two each for SBP and HbA1c analyses and one for LDL analyses) with these outcomes, using multilevel models to account for individual-level, clinic-level and other area-level factors.ResultsResources associated with lower BMI included more food resources (−0.08 kg/m2per additional resource, 95% CI −0.13 to −0.03 kg/m2), employment resources (−0.05 kg/m2, 95% CI −0.11 to −0.002 kg/m2) and nutrition resources (−0.07 kg/m2, 95% CI −0.13 to −0.01 kg/m2). No area resources were associated with differences in SBP, LDL or HbA1c.ConclusionsAccess to specific local resources is associated with better BMI. Efforts to link patients to area resources, and to improve the resources landscape within communities, may help reduce BMI and improve population health.

scholarly journals Metabolic Syndrome Knowledge among Adults with Cardiometabolic Risk Factors: A Cross-Sectional Study

2019 ◽  
Vol 16 (1) ◽  
pp. 159 ◽  
Author(s):  
Qun Wang ◽  
Sek Ying Chair ◽  
Eliza Mi-Ling Wong ◽  
Ruth E. Taylor-Piliae ◽  
Xi Chen Hui Qiu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Metabolic Syndrome ◽  
Formal Education ◽  
Cardiometabolic Risk ◽  
Density Lipoprotein ◽  
Cross Sectional Study ◽  
Cardiometabolic Risk Factors ◽  
Cross Sectional ◽  
Lipid Management ◽  
History Of

Metabolic syndrome (MetS) is a cluster of cardiometabolic risk factors. Many people may be unaware of their risk for MetS. A cross-sectional, descriptive study was conducted among hospitalized patients with at least one cardiometabolic risk factor in Mainland China. This study assessed the MetS knowledgelevel(through MetS Knowledge Scale, MSKS) and examined the potential predictors by regression analysis. A total of 204 patients aged 58.5 ± 10.1 years (55% males) participated in this study. The majority of participants had no history of hypertension (54%), dyslipidemia (79%), or diabetes (85%). However, 56% of these participants had at least three cardiometabolic risk factors, indicating the presence of MetS. The average MSKS was very low (mean = 36.7±18.8, possible range = 0–100), indicating the urgent needs of MetS education in current practice. Predictors of better MetS knowledge included higher educational level, history of dyslipidemia, and normal high-density lipoprotein cholesterol (F (8, 195) = 9.39, adjusted R2 = 0.192, p< 0.001). In conclusion, adults with cardiometabolic risk factors are at risk of developing MetS, but with a low level of knowledge. Specific health education on MetS should be provided, particularly for those with limited formal education or inadequate lipid management.

Clustering of Cardiometabolic Risk Factors among Children and Adolescents in a Rural Community in Ondo, Southwest Nigeria

2019 ◽  
Vol 66 (4) ◽  
pp. 366-376
Author(s):  
Akinwumi Ayodeji Akinbodewa ◽  
Ademola Oluseyi Adejumo ◽  
Oluwakemi Abiola Lamidi ◽  
Ogunleye Adeyemi
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Children And Adolescents ◽  
Cardiovascular Health ◽  
Cardiometabolic Risk ◽  
Density Lipoprotein ◽  
Serum Levels ◽  
High Serum ◽  
Cardiometabolic Risk Factors ◽  
Cross Sectional

Abstract Background Clustering of cardiometabolic risk factors is rapidly becoming prevalent among children and adolescents with grave implications for their cardiovascular health. We set out to determine prevalence and pattern of clustering of risk factors and, identify factors (if any) that determine their clustering. Methods A cross-sectional study of children (3–9 years) and adolescents (10–17 years) in a rural, agrarian community. Their blood pressure, body mass index and lipids were measured. Data was analyzed with SPSS 20. Results A total of 114 (M : F, 1 : 1.1) subjects were studied. The mean age of children and adolescents were 5.6 ± 2.1 and 12.9 ± 2.2 years respectively. The most prevalent cardiometabolic risk factors were elevated non-high density lipoprotein-cholesterol (HDL-c; 39.5%), low HDL-c (33.3%), prehypertension (12.3%) and overweight (9.6%). The prevalence of hypertension was higher among females (11.9% vs. 1.8%, p = 0.024) and adolescents (13.2% vs. 1.6%, p = 0.037). Serum levels of non-HDL-c was higher among adolescents than children (50.9% vs. 29.5%, p = 0.013). At least one risk factor was present in 68.4% of the subjects. Clustering of two and three risk factors were present in 18.4% and 6.1%. The presence of prehypertension (χ2 23.93, p &lt; .001), hypertension (χ2 12.19, p = 0.002), high serum non-HDL-c (χ2 6.336, p = 0.011) and high serum total cholesterol (TC; χ2 8.810, p &lt; 0.001) were associated with clustering of cardiometabolic risk factors. Conclusion The burden of cardiometabolic risk factors among children and adolescents is high. Identified determinants of risk factor clustering were prehypertension, hypertension, non-HDL-c and TC.

A Cross-Sectional Survey of Cardiometabolic Risk Factors in Canadian Primary Care Patients with Abdominal Obesity

2014 ◽  
Vol 38 (5) ◽  
pp. S45
Author(s):  
David C.W. Lau ◽  
Lawrence A. Leiter ◽  
Jacques J.G. Genest ◽  
Stewart B. Harris ◽  
Peter Selby ◽  
...  
Keyword(s):  
Risk Factors ◽  
Primary Care ◽  
Abdominal Obesity ◽  
Cardiometabolic Risk ◽  
Cardiometabolic Risk Factors ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Primary Care Patients

scholarly journals Relationship of TSH levels with cardiometabolic risk factors in US youth aged 12-18 years and population-based reference percentiles for thyroid function tests.

2020 ◽  
Author(s):  
Xinlei Chen ◽  
Shuliang Deng ◽  
Cecilia Sena ◽  
Chuhan Zhou ◽  
Vidhu V Thaker
Keyword(s):  
Risk Factors ◽  
Insulin Resistance ◽  
Abdominal Obesity ◽  
Cardiometabolic Risk ◽  
Normal Weight ◽  
The Body ◽  
Cardiometabolic Risk Factors ◽  
Thyroid Function Tests ◽  
Cross Sectional ◽  
Tsh Levels

Context: Thyroid hormones play an important role in the metabolic homeostasis of the body and have been associated with cardiometabolic risk. Objective: To examine the association of cardiometabolic risk factors (CMRF) with TSH levels in youth at population level in the US. Design & Setting: Cross-sectional study of youth aged 12-18 years without known thyroid abnormalities from National Health and Nutrition Examination Survey 1999-2012. Subclinical hypothyroidism (SH) was defined as TSH levels 4.5-10 mIU/L. Assessed CMRF included abdominal obesity (waist circumference > 90th percentile), hypertriglyceridemia (TG ≥ 130 mg/dL), low HDL cholesterol (HDL-C < 40 mg/dL), elevated blood pressure (SBP and DBP ≥ 90th percentile), hyperglycemia (FBG ≥ 100 mg/dL, or known diabetes), insulin resistance (HOMA-IR > 3.16) and elevated alanine transferase (ALT ≥ 50 U/L for boys and ≥ 44 U/L for girls). Age and sex- specific percentiles for thyroid parameters were calculated for youth with normal weight. Results: In this cohort of youth (51.3% male), 31.2% had overweight/obesity. The prevalence of SH was 2.0 % (95% CI 1.2-3.1). The median TSH levels were higher in youth with overweight/obesity (p<.001). Adjusting for age, sex, race/ethnicity and level of obesity, youth with TSH in the 4th quantile had higher odds of abdominal obesity (OR 2.53 [1.43-4.46], p = .002), higher HOMA-IR (OR 2.82 [1.42-5.57], p=.003) and ≥ 2 CMRF (OR 2.20 [1.23-3.95], p=.009). Conclusions: The prevalence of SH is low in US youth. The higher odds of insulin resistance and CMRF in youth with TSH levels > 75th percentile requires further study.

Cardiometabolic health in adolescence and its association with educational outcomes

2019 ◽  
Vol 73 (12) ◽  
pp. 1071-1077 ◽  
Author(s):  
Paulina Correa-Burrows ◽  
Estela Blanco ◽  
Sheila Gahagan ◽  
Raquel Burrows
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Educational Outcomes ◽  
Cardiometabolic Risk ◽  
International Diabetes Federation ◽  
Density Lipoprotein ◽  
Cardiometabolic Risk Factors ◽  
Cardiometabolic Health ◽  
Model Assessment ◽  
Grade Point

AimTo explore the association of selected cardiometabolic biomarkers and metabolic syndrome (MetS) with educational outcomes in adolescents from Chile.MethodsOf 678 participants, 632 (52% males) met criteria for the study. At 16 years, waist circumference (WC), systolic blood pressure, triglycerides (TG), high-density lipoprotein and glucose were measured. A continuous cardiometabolic risk score (zMetS) using indicators of obesity, lipids, glucose and blood pressure was computed, with lower values denoting a healthier cardiometabolic profile. MetS was diagnosed with the International Diabetes Federation/American Heart Association/National Heart, Lung, and Blood Institute joint criteria. Data on high school (HS) graduation, grade point average (GPA), college examination rates and college test scores were collected. Data were analysed controlling for sociodemographic, lifestyle and educational confounders.ResultzMetS, WC, TG and homeostatic model assessment of insulin resistance at 16 years were negatively and significantly associated with the odds of completing HS and taking college exams. Notably, for a one-unit increase in zMetS, we found 52% (OR: 0.48, 95% CI 0.227 to 0.98) and 39% (OR: 0.61, 95% CI 0.28 to 0.93) reduction in the odds of HS completion and taking college exams, respectively. The odds of HS completion and taking college exams in participants with MetS were 37% (95% CI 0.14 to 0.98) and 33% (95% CI 0.15 to 0.79) that of participants with no cardiometabolic risk factors. Compared with adolescents with no risk factors, those with MetS had lower GPA (515 vs 461 points; p=0.002; Cohen’s d=0.55). Adolescents having the MetS had significantly lower odds of passing the mathematics exam for college compared with peers with no cardiometabolic risk factors (OR: 0.49; 95% CI 0.16 to 0.95).ConclusionIn Chilean adolescents, cardiometabolic health was associated with educational outcomes.

scholarly journals Relationship of TSH levels with cardiometabolic risk factors in US youth and reference percentiles for thyroid function

2020 ◽  
Author(s):  
Xinlei Chen ◽  
Shuliang Deng ◽  
Cecilia Sena ◽  
Chuhan Zhou ◽  
Vidhu V Thaker
Keyword(s):  
Risk Factors ◽  
Insulin Resistance ◽  
Abdominal Obesity ◽  
Cardiometabolic Risk ◽  
Hdl Cholesterol ◽  
Cross Sectional Study ◽  
Cardiometabolic Risk Factors ◽  
Cross Sectional ◽  
Low Hdl ◽  
Tsh Levels

Abstract Context Thyroid hormones play an important role in the metabolic homeostasis and higher levels have been associated with cardiometabolic risk. Objective To examine the association of cardiometabolic risk factors with TSH levels in US youth. Design & Setting Cross-sectional study of youth aged 12-18 years without known thyroid abnormalities from five National Health and Nutrition Examination Survey cycles (n=2,818) representing 15.4 million US children. Subclinical hypothyroidism (SH) was defined as TSH levels 4.5-10 mIU/L. Assessed cardiometabolic risk factors include abdominal obesity (waist circumference &gt; 90 th percentile), hypertriglyceridemia (TG ≥130 mg/dL), low HDL cholesterol (HDL-C &lt; 40 mg/dL), elevated blood pressure (SBP and DBP ≥90 th percentile), hyperglycemia (FBG ≥100 mg/dL, or known diabetes), insulin resistance (HOMA-IR &gt; 3.16) and elevated alanine transferase (ALT ≥ 50 U/L for boys and ≥ 44 U/L for girls). Age and sex- specific percentiles for thyroid parameters were calculated. Results In this cohort of youth (51.3% male), 31.2% had overweight/obesity. The prevalence of SH was 2.0 % (95% CI 1.2-3.1). The median TSH levels were higher in youth with overweight/obesity (p&lt;.001). Adjusting for age, sex, race/ethnicity and obesity, youth with TSH in the 4 th quantile had higher odds of abdominal obesity (OR 2.53 [1.43-4.46], p = .002), insulin resistance (OR 2.82 [1.42-5.57], p=.003) and ≥ 2 CMRF (OR 2.20 [1.23-3.95], p=.009). Conclusions The prevalence of SH is low in US youth. The higher odds of insulin resistance and cardiometabolic risk factors in youth with TSH levels &gt; 75 th percentile requires further study.

Insulin Resistance and Cardiometabolic Risk Profile Among Non-Diabetic American Young Adults: Insights from NHANES

2021 ◽  
Author(s):  
Vibhu Parcha ◽  
Brittain Heindl ◽  
Rajat Kalra ◽  
Peng Li ◽  
Barbara Gower ◽  
...  
Keyword(s):  
Risk Factors ◽  
Insulin Resistance ◽  
Young Adults ◽  
Fat Mass ◽  
Cardiometabolic Risk ◽  
Temporal Trends ◽  
Cardiometabolic Risk Factors ◽  
Model Assessment ◽  
Cross Sectional Survey ◽  
Cross Sectional

Abstract Background The burden of insulin resistance (IR) among young American adults has not been previously assessed. We evaluated the 1) prevalence and trends of IR and cardiometabolic risk factors and, 2) assessed the association between measures of adiposity and IR among adults aged 18-44 years without diabetes and preexisting cardiovascular disease. Methods Cross-sectional survey data from six consecutive National Health and Nutrition Examination Survey (2007-2008 to 2017-2018) cycles were analyzed. IR was defined by the homeostatic model assessment for IR (HOMA-IR) of ≥2.5. The temporal trends of IR, cardiometabolic risk factors, and the relationship between IR and measures of adiposity were assessed using multivariable-adjusted regression models. Results Among 6,247 young adults aged 18-44 years, the prevalence of IR was 44.8% (95% CI: 42.0-47.6%) in 2007-2010 and 40.3% (95% CI: 36.4-44.2%) in 2015-2018 (Ptrend=0.07). There was a modest association of HOMA-IR with higher body mass index (BMI), waist circumference, total lean fat mass, and total and localized fat mass (all p&lt;0.001). Participants with IR had a higher prevalence of hypertension (31.3% [95% CI: 29.2-33.5%] vs. 14.7% [95% CI: 13.2-16.2%]), hypercholesterolemia (16.0% [95% CI: 12.4-19.5%] vs. 7.0% [95% CI: 5.8-8.5%]), obesity (56.6% [95% CI: 53.9-59.3%] vs. 14.7% [95%CI: 13.0-16.5%]) and poor physical activity levels (18.3% [95% CI: 16.4-20.2%] vs. 11.7% [95%CI: 10.3-13.1%]) compared to participants without IR (all p&lt;0.05). Conclusions Four-in-ten young American adults have IR, which occurs in a cluster with cardiometabolic risk factors. Nearly half of young adults with IR are non-obese. Screening efforts for IR irrespective of BMI may be required.

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