The Impact of the Weight Status on Cardiovascular Parameters Related to Physical Effort in Young Athletes

Excess weight leads to an impaired cardiovascular response to physical exertion even at a young age. Sports training during youth promotes cardiovascular adaptations. The aim of the study is to verify the impact of weight status on cardiovascular parameters related to physical effort in young people who engage in competitive sports. A retrospective study was conducted on 8307 young athletes (5578 males and 2729 females) aged 6–18 years (mean age 13.9 ± 2.2 years). The data concerning graded exercise tests of young athletes in normal weight and overweight were compared. Approximately, 13.4% of the sample had excess weight. Young overweight athletes show a higher resting heart rate as well as systolic and diastolic pressure than young normal weight athletes. Excess weight condition leads to a reduction in the duration of the graded exercise test, reaching higher blood pressure values at the end of the test compared to those with normal weight. After four min from the end of the test, heart rate and systolic/diastolic blood pressure remained higher in the young overweight athletes. Excess weight affects cardiovascular parameters both at rest and in response to physical exertion during youth; however, competitive sport seems to be able to keep these parameters within the normal range even in young overweight athletes.

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Preliminary Evidence of Children’s Weight Gain From 5 Months of Home Quarantine During the COVID-19 Pandemic

American Journal of Lifestyle Medicine ◽

10.1177/15598276211006657 ◽

2021 ◽

pp. 155982762110066

Author(s):

Keith Brazendale ◽

Jeanette Garcia ◽

Ethan T. Hunt ◽

Michael Blankenship ◽

Daniel Eisenstein ◽

...

Keyword(s):

Weight Status ◽

Preventive Measures ◽

Preliminary Evidence ◽

Normal Weight ◽

Preventative Measures ◽

Significant Difference ◽

The Impact ◽

Weight Data ◽

Overweight Or Obesity

Purpose. Preventive measures to curtail the spread of the Coronavirus Disease 2019 (COVID-19)—such as home quarantine, closure of schools/programs—are necessary, yet the impact of these restrictions on children’s weight status is unknown. The purpose of this case report was to investigate changes in children’s body mass index (BMI) and zBMI during COVID-19 quarantine. Methods. Children had their heights and weights recorded early March 2020 (pre-COVID-19) and 5 months later (early August 2020). Paired sample t tests examined changes in BMI and zBMI from baseline to follow-up. Results. Twenty-nine children (62% female; mean age 9.3 years; 27.5% with overweight or obesity) provided height and weight data at both time points. There was a significant difference in pre-COVID-19 BMI (mean [M] = 20.1, standard deviation [SD] = 6.0) and follow-up BMI (M = 20.7, SD = 6.4); t(57) = −3.8, P < .001, and pre-COVID-19 zBMI (M = 0.8, SD = 0.9) and follow-up zBMI (M = 0.9, SD = 0.9); t(57) = -3.1, P = .003. Five of the 29 children moved from normal weight to overweight (n = 4) or obese (n = 1) during 5 months of quarantine. Conclusions. Preliminary evidence shows most children increased their BMI and zBMI values from pre-COVID-19 assessment to the follow-up assessment, 5 months later. These initial findings identify potential incidental negative health consequences of children as a result of COVID-19 preventative measures such as home quarantine.

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Weight Status Is Associated with Blood Pressure, Vital Capacity, Dental Decay, and Visual Acuity among School-Age Children in Chengdu, China

Annals of Nutrition and Metabolism ◽

10.1159/000454888 ◽

2016 ◽

Vol 69 (3-4) ◽

pp. 237-245 ◽

Cited By ~ 8

Author(s):

Rong Peng ◽

Shiyun Li ◽

Hongbin Zhang ◽

Honglian Zeng ◽

Biyu Jiang ◽

...

Keyword(s):

Blood Pressure ◽

Visual Acuity ◽

Weight Status ◽

Vital Capacity ◽

Low Vision ◽

Normal Weight ◽

School Age Children ◽

School Age ◽

Obese Children ◽

Dental Decay

Aims: To examine the association of weight status with the prevalence of blood pressure (BP), vital capacity, dental decay, and visual acuity among school-age children in Chengdu, China and to find the potential role of weight status to predict the common and frequently occurring diseases among school-age children. Methods: A cross-sectional study was conducted among 12,297 children aged 6-18 years from 10 schools in the Jinniu District of Chengdu, China. Body height, weight, waist circumference (WC), and BP were measured. Vital capacity, dental decay, and visual acuity were detected. Results: The overall prevalence of underweight, overweight, obesity, abdominal obesity, high BP, bad vital capacity weight index, dental decay, and low vision were 7.18, 13.47, 7.57, 18.90, 2.78, 21.93, 38.81, and 45.79%, respectively. After controlling for age, gender, and WC, it was found that overweight and obese children had a higher risk of developing high BP than normal weight children ([OR 4.20, p < 0.001] and [OR 8.76, p < 0.001], respectively), And adjusting for age, gender, and chest circumference, the risk of having bad vital capacity weight index among children with overweight and obesity was higher ([OR 2.15, p < 0.001] and [OR 5.40, p < 0.001], respectively), and the risk with underweight was lower (OR 0.35, p < 0.001). After eliminating the influential factors of gender and age, children who were underweight were 1.16 times (OR 1.16, p = 0.048) more likely to have caries than children with normal weight, but obese children were found to have a lower prevalence for dental cavities than children with normal weight (OR 0.79, p = 0.002). Underweight and obese children had a higher prevalence of low vision; the OR of the appearance of low vision was 1.21 (p = 0.016) for underweight children and 1.23 (p = 0.009) for obese children after adjusting the age and gender. Conclusions: Abnormal weight status among Chengdu urban school-age children was found to be a severe health problem, and it was strongly associated with BP, vital capacity, dental decay, and visual acuity.

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Sedentary behavior is more related with cardiovascular parameters in normal weight than overweight adolescents

Journal of Public Health ◽

10.1093/pubmed/fdz082 ◽

2019 ◽

Vol 42 (3) ◽

pp. e215-e222 ◽

Cited By ~ 1

Author(s):

William R Tebar ◽

Raphael M Ritti Dias ◽

Catarina C Scarabottolo ◽

Fernanda C S Gil ◽

Bruna T C Saraiva ◽

...

Keyword(s):

Blood Pressure ◽

Public Schools ◽

Sedentary Behavior ◽

Screen Time ◽

Cell Phone ◽

Normal Weight ◽

Cardiovascular Parameters ◽

Oscillometric Device ◽

Geographical Regions ◽

Overweight Adolescents

Abstract This study analyzed the relationship between sedentary behavior and cardiovascular parameters in normal weight and overweight adolescents. The sample included 449 boys and 555 girls with mean age of 13 years from public schools, which were divided into five geographical regions, with data collections performed in one selected school from each region. Sedentary behavior was assessed by screen time on TV, computer, videogame and cell phone/tablet, with good reliability in adolescents. Physical activity was assessed by Baecke’s questionnaire, validated for adolescents. Measures of body weight, height and waist circumference were collected. Adolescents were classified as overweight or normal weight by cut-off points of body mass index for age and sex. Cardiovascular parameters were evaluated by oscillometric device and heart rate by specific monitor. Computer use was positively related to systolic blood pressure (SBP) (β = 0.35; 95%CI = 0.07–0.62) and diastolic blood pressure (DBP) (β = 0.25; 95%CI = 0.05–0.44) in normal weight but not in overweight adolescents. Similar results were observed for cell phone/tablet in SBP (β = 0.46; 95%CI = 0.20–0.72) and DBP (β = 0.36; 95%CI = 0.18–0.54), only for normal weight. The cluster of screen time was related to SBP in normal weight (β = 0.44; 95%CI = 0.03–0.84) and overweight (β = 0.60; 95%CI = 0.01–1.19). Screen time in computer and cell phone/tablet was more related to cardiovascular parameters in normal weight than overweight adolescents.

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Blood Pressure and Body Weight Have Different Effects on Pulse Wave Velocity and Cardiac Mass in Children

Journal of Clinical Medicine ◽

10.3390/jcm9092954 ◽

2020 ◽

Vol 9 (9) ◽

pp. 2954

Author(s):

Simonetta Genovesi ◽

Paolo Salvi ◽

Elisa Nava ◽

Elena Tassistro ◽

Marco Giussani ◽

...

Keyword(s):

Blood Pressure ◽

Pulse Wave Velocity ◽

Wave Velocity ◽

Pulse Wave ◽

Left Ventricular ◽

Cardiac Mass ◽

Excess Weight ◽

Gold Standard Method ◽

Z Scores ◽

The Impact

Background: High blood pressure (BP) and excess weight can lead to early cardiovascular organ damage already in children. Carotid-femoral pulse wave velocity (cf-PWV) is the non-invasive gold standard method for assessing aortic stiffness, while carotid-radial PWV (cr-PWV) provides information on the distensibility of the upper limb arteries. The aim of this study was to evaluate the relationship of BP and BMI z-scores with arterial stiffness and left ventricular mass index (LVMI) in a pediatric population. Methods: In 343 children (57.7% males; age ± SD 11.7 ± 2.9 years), systolic (SBP) and diastolic (DBP) BP, BMI, cf-PWV, cr-PWV and LVMI were measured. A multiple linear regression model was used to assess the impact of BMI and SBP (or DBP) z-scores on cf-PWV, cr-PWV and LVMI. Results: About 21% of children were normal weight, 34% were overweight and 45% obese. Adjusted for possible confounders, SBP and DBP z-scores were significantly associated with cf-PWV (p < 0.001), while only DBP z-scores were related to cr-PWV (p < 0.01). BMI was neither associated with cf-PWV nor with cr-PWV values but was a strong predictor of LVMI (<0.001), whereas cardiac mass and BP z-scores were not related. Conclusions: Our study suggests that, in children, elevated BP values and excess weight may have different effects on the heart and the vessels in causing early cardiovascular alterations.

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Weight cycling is associated with adverse cardiometabolic markers in a cross-sectional representative US sample

Journal of Epidemiology & Community Health ◽

10.1136/jech-2019-213419 ◽

2020 ◽

pp. jech-2019-213419

Author(s):

Lisa Kakinami ◽

Bärbel Knäuper ◽

Jennifer Brunet

Keyword(s):

Blood Pressure ◽

Insulin Sensitivity ◽

Weight Status ◽

Density Lipoprotein ◽

Normal Weight ◽

Lipoprotein Cholesterol ◽

Weight Cycling ◽

Cross Sectional ◽

Weight History ◽

Cardiometabolic Markers

BackgroundWhether weight cycling (repeated weight loss and regain) is associated with cardiometabolic health is unclear. Study objective was to examine whether weight cycling since young adulthood (ie, 25 years of age) was associated with cardiometabolic markers.MethodsData from a nationally representative cross-sectional US sample (National Health and Nutrition Examination Survey, 1999–2014) were used. Weight history was based on self-reported weight at age 25, 10 years prior and 1 year prior to the survey (n=4190, 51% male). Using current self-reported weight as the anchor, participants were classified as (1) stable weight, (2) weight losers, (3) weight gainers and (4) weight cyclers. Cardiometabolic markers included fasting lipids, insulin sensitivity and blood pressure. Multiple linear regressions were used to analyse weight history (reference: stable weight) and adjusted for covariates. Analyses incorporated the sampling design and survey weights and were stratified by sex or weight status.ResultsCompared with females with stable weight, female weight cyclers had worse lipids and homeostasis model assessment for insulin resistance (HOMA-IR) (all ps<0.05). Compared with males with stable weight, male weight cyclers had worse high-density lipoprotein cholesterol (HDL) and HOMA-IR (ps<0.05). Weight cyclers with normal weight had worse HDL and low-density lipoprotein cholesterol (ps<0.05), and weight cyclers with overweight or obesity had worse HOMA-IR (p=0.05). Blood pressure was not associated.ConclusionWeight cycling is adversely associated with cardiometabolic markers but associations differ by sex and weight status. While weight cycling is consistently associated with worse cardiometabolic markers among females, results are mixed among males. Weight cycling is associated with worse lipid measures for normal weight persons, and marginally worse insulin sensitivity for those with overweight/obesity.

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Metabolic syndrome, leptin-insulin resistance and uric acid: a trinomial foe for Algerian city-dweller adolescents’ health

International Journal of Adolescent Medicine and Health ◽

10.1515/ijamh-2017-0076 ◽

2018 ◽

Vol 31 (6) ◽

Cited By ~ 2

Author(s):

Hamida Bouhenni ◽

Hadjer Daoudi ◽

Haidar Djemai ◽

Abdelkader Rouabah ◽

Damien Vitiello ◽

...

Keyword(s):

Blood Pressure ◽

Metabolic Syndrome ◽

Uric Acid ◽

Serum Levels ◽

Normal Weight ◽

Excess Weight ◽

Health Concern ◽

Critical Periods ◽

Weight Group ◽

Increased Risk

Abstract Background Adolescence is one of the critical periods where increased risk for long-term obesity-related complications is an important health concern. This highlights the need to perform early diagnostics based on precise biomarkers to decrease the risk of complications in adolescents with obesity. Objective To determine the relationships between serum levels of uric acid (UA), leptin and insulin with metabolic syndrome (MS) components in Algerian adolescents. Subjects Nondiabetic adolescents (n = 204). Methods Blood pressure (BP) and anthropometric measurements were performed using standardized techniques. Blood samples were taken for determination of glycemia, triglyceridemia, uricemia, cholesterolemia, leptinemia and insulinemia. Results The rate of MS among an excess weight group was 17.4% [95% confidence interval (CI)]. Serum levels of UA, leptin and insulin were significantly higher in the excess weight group compared to a normal weight group (279.4 ± 86.05 vs. 204.9 ± 50.34 μmol/L and 25.65 ± 14.01 vs. 4.09 ± 2.60 μg/L, p < 0.001; 24.58 ± 13.85 vs. 13.34 ± 6.41 μIU/L, p < 0.05). Serum levels of UA, leptin and insulin were significantly higher in adolescents with MS compared to those without MS (304.86 ± 111.41 vs. 224.72 ± 77.81 μmol/L, 30.26 ± 12.46 vs. 16.93 ± 14.97 μg/L and 30.91 ± 17.30 vs. 18.71 ± 10.14 μIU/L, p < 0.05, respectively). Significant correlations were found between UA and leptin with waist circumference (r = 0.50 and 0.76), diastolic blood pressure (r = 0.58 and 0.43), triglycerides (r = 0.42 and 0.35) and high-density lipoprotein-cholesterol (r = −0.36 and −0.35). Conclusion Serum levels of UA and leptin may be useful biomarkers for early diagnosis of the risk of MS in our Algerian adolescent population.

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Overweight in Young Athletes: New Predictive Model of Overfat Condition

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph16245128 ◽

2019 ◽

Vol 16 (24) ◽

pp. 5128 ◽

Cited By ~ 3

Author(s):

Gabriele Mascherini ◽

Cristian Petri ◽

Elena Ermini ◽

Vittorio Bini ◽

Piergiuseppe Calà ◽

...

Keyword(s):

Fat Mass ◽

Weight Status ◽

Low Cost ◽

Normal Weight ◽

Receiver Operating Characteristics ◽

Operating Characteristics ◽

Young Athletes ◽

Receiver Operating Characteristics Curve ◽

Calculated Probability ◽

Correct Weight

The aim of the study is to establish a simple and low-cost method that, associated with Body Mass Index (BMI), differentiates overweight conditions due to a prevalence of lean mass compared to an excess of fat mass during the evaluation of young athletes. 1046 young athletes (620 male, 426 female) aged between eight and 18 were enrolled. Body composition assessments were performed with anthropometry, circumferences, skinfold, and bioimpedance. Overweight was established with BMI, while overfat was established with the percentage of fat mass: 3.5% were underweight, 72.8% were normal weight, 20.1% were overweight, and 3.5% were obese according to BMI; according to the fat mass, 9.5% were under fat, 63.6% were normal fat, 16.2% were overfat, and 10.8% were obese. Differences in overfat prediction were found using BMI alone or with the addition of the triceps fold (area under the receiver operating characteristics curve (AUC) for BMI = 0.867 vs. AUC for BMI + TRICEPS = 0.955, p < 0.001). These results allowed the creation of a model factoring in age, sex, BMI, and triceps fold that could provide the probability that a young overweight athlete is also in an overfat condition. The calculated probability could reduce the risk of error in establishing the correct weight status of young athletes.

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Abstract P165: Urinary Amino Acid Profile And Cardiovascular Parameters In Overweight And Obese Brazilian Children

Hypertension ◽

10.1161/hyp.78.suppl_1.p165 ◽

2021 ◽

Vol 78 (Suppl_1) ◽

Author(s):

Mariana D Passadore ◽

Nayara A Cruz ◽

Mariana Z Bocato ◽

Leonardo A Ferreira ◽

Jose Geraldo Mill ◽

...

Keyword(s):

Blood Pressure ◽

Amino Acids ◽

Systolic Blood Pressure ◽

Positive Association ◽

Amino Acid Profile ◽

Normal Weight ◽

Creatinine Concentration ◽

Cross Sectional ◽

Cardiovascular Parameters ◽

Urinary Amino

Despite being thoroughly studied, there isn’t complete elucidation of mechanisms underlying obesity, and especially regarding overweight in children. Small molecule metabolites are promising candidates for understanding obesity′s phenotypes. Recent metabolic studies have advanced in discovery of biomarkers for better knowledge of mechanisms related to obesity and its comorbidities. In this cross-sectional study it was evaluated the profile of urinary amino acids of 110 children that were classified in into groups of nutritional status according to their BMI/A (Body Mass Index/age), as normal weight (NW) (n=45), overweight (OW) (n=21) and obese (OB) (n=44). The 24h urine samples were submitted to LC-MS/MS for evaluation of 47 amino acids using Amino Acids Analysis Kit (Zivak®, Turkey), corrected by creatinine concentration. Biochemical profile, cardiovascular parameters and anthropometric measurements were assessed following standard protocols. Girls showed a higher heart rate (G: 82bpm vs B:79bpm, p=0,01 ) than boys. Increased weight presented higher values of systolic blood pressure ( NW: 102.0, OW: 109.0, OB: 110.0; NW vs OW, p = 0.0001; NW vs OB, p = 0.0001 ) and diastolic blood pressure ( NW: 60.0, OW: 67.0, OB: 66.75, NW vs OW, p < 0.0001; NW vs OB, p < 0.0001 ). The following amino acids (expressed in nmol/mg of creatinine) were found in higher concentrations in children’s urine with overweight or obesity, when compared with NW group, glutamine ( NW: 1024.3 vs OW: 1309.2, p=0.05), tryptophan (NW: 85.65, OW:113.55, OB:109.36; NW vs OW p=0.01; OW vs OB p=0.004), phenylalanine (NW: 43.04, OW:49.66, OB:72.08; NW vs OB p=0.01; OW vs OB p=0.04), and Tyrosine (NW: 85.07, OW: 109.74, OB: 140.54; NW vs OB p<0.01; OW vs OB p=0.04). In contrast, sarcosine had reduced concentrations for groups with weight excess (OW: 78.7 vs OB: 62.3, p=0.04). Urine levels of glutamine and aromatic amino acids were higher in OW and OB groups. Tyrosine also showed a positive association with systolic blood pressure values. Thus, there was a positive correlation between levels of glutamine and aromatics amino acids and excess weight, suggesting that they may be candidates to biomarkers for obesity in children. Furthermore, obesity was directly related to increase in blood pressure values.

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Race/Ethnicity, Gender, Weight Status, and Colorectal Cancer Screening

Journal of Obesity ◽

10.1155/2011/314619 ◽

2011 ◽

Vol 2011 ◽

pp. 1-6 ◽

Cited By ~ 2

Author(s):

Heather Bittner Fagan ◽

Ronald E. Myers ◽

Constantine Daskalakis ◽

Randa Sifri ◽

Arch G. Mainous ◽

...

Keyword(s):

Colorectal Cancer ◽

Weight Status ◽

Normal Weight ◽

Crc Screening ◽

Interview Survey ◽

Multivariable Analyses ◽

Race Ethnicity ◽

And Gender ◽

Ethnicity And Gender ◽

The Impact

Background. The literature on colorectal cancer (CRC) screening is contradictory regarding the impact of weight status on CRC screening. This study was intended to determine if CRC screening rates among 2005 National Health Interview Survey (NHIS) respondent racial/ethnic and gender subgroups were influenced by weight status.Methods. Univariable and multivariable logistic regression analyses were performed to determine if CRC screening use differed significantly among obese, overweight, and normal-weight individuals in race/ethnic and gender subgroups.Results. Multivariable analyses showed that CRC screening rates did not differ significantly for individuals within these subgroups who were obese or overweight as compared to their normal-weight peers.Conclusion. Weight status does not contribute to disparities in CRC screening in race/ethnicity and gender subgroups.

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Early impact of fixed orthodontic therapy on gingival health status in relation to weight status

Journal of Baghdad College of Dentistry ◽

10.26477/jbcd.v30i4.2731 ◽

2018 ◽

Vol 30 (4) ◽

pp. 1-7

Author(s):

Zaid A Alasadi ◽

Alhan A Qasim

Keyword(s):

Health Status ◽

Weight Status ◽

Normal Weight ◽

Orthodontic Appliances ◽

Gingival Index ◽

Orthodontic Therapy ◽

Gingival Health ◽

Fixed Orthodontic Appliances ◽

Significant Difference ◽

The Impact

Background: fixed orthodontic appliances deleterious influence on gingival health is well documented. Association between weight status and gingival health is presented in many studies. This study aimed to evaluate how early the impact of fixed orthodontic therapy on patients` gingival health, and if there are differences of that impact among different weight status groups. Materials and Methods: Sample consisted of 54 patients (25 males, 29 females; age limits are 16 -18 years) going under the course of treatment with fixed orthodontic appliance. Patients were categorized according to their Body Mass Index (BMI) into 3 weight status groups considering WHO charts in 2007 (underweight, normal weight, overweight and obese), then determination of each patient`s gingival health status was through the criteria of the gingival index (GI) by Loe and Silness in 1963 which modified by Loe in 1967. Records of gingival index for all patients who met specific criteria were taken in three time points [before bonding (1st visit), 2 weeks after bonding (2nd visit), and 4 weeks after bonding (3rd visit)]. Also BMI of the patients were checked at each of the three visits. Results: There was a significant increase in gingival index for all BMI weight status groups after just two weeks of treatment, and the increase continues during the 3rd visit, with no significant difference in impact among weight status groups. Conclusions: oral health preventive measures should be applied rapidly and equally to all patients treated with fixed orthodontic appliances, without taking their BMI weight status in consideration.

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