Processing-independent proANP measurement for low concentrations in plasma: reference intervals and effect of body mass index and plasma glucose

2017 ◽  
Vol 56 (1) ◽  
Author(s):  
Peter D. Mark ◽  
Ingrid Hunter ◽  
Dijana Terzic ◽  
Jens P. Goetze
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Plasma Glucose ◽  
Age Groups ◽  
Radioactive Tracer ◽  
Reference Intervals ◽  
Specific Reference ◽  
Regression Analyses ◽  
Obesity And Diabetes ◽  
Gender Specific

AbstractBackground:Decreased concentrations of pro-atrial-derived natriuretic peptides (proABP) in plasma have been associated with obesity and suggested as a predictor of type 2 diabetes. However, assays for measuring proANP are generally aimed to quantitate higher concentrations of proANP associated with cardiac disease. Therefore, we aimed to measure plasma proANP concentrations in a non-obese Scandinavian reference material and evaluate potential associations of plasma proANP with body mass index (BMI) and plasma glucose, respectively.Methods:We report an optimized processing-independent assay (PIA) for proANP in the lower concentration range. The assay was optimized by raising the amount of radioactive tracer and modifying the mixing ratio of resuspended plasma and buffer. Blood samples from a Scandinavian plasma cohort of 693 healthy subjects were then analyzed and age and gender-specific reference intervals were determined.Results:Simple linear regression analyses of proANP and both BMI and plasma glucose in fasting subjects displayed insignificant associations. Multiple regression analyses supported these findings. However, a higher median plasma concentration of proANP was noted among women <50 years compared to men, whereas no gender-specific differences were seen in other age groups.Conclusions:Our results show that in a healthy non-obese population, BMI and plasma glucose in fasting subjects do not affect plasma proANP concentrations. Our method should be considered for future studies on low proANP concentration studies, e.g. in obesity and diabetes.

scholarly journals Association of body mass index and age with incident diabetes in Chinese adults: a population-based cohort study

BMJ Open ◽  
2018 ◽  
Vol 8 (9) ◽  
pp. e021768 ◽  
Author(s):  
Ying Chen ◽  
Xiao-Ping Zhang ◽  
Jie Yuan ◽  
Bo Cai ◽  
Xiao-Li Wang ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Young Adults ◽  
Cohort Study ◽  
Body Mass ◽  
Plasma Glucose ◽  
Fasting Plasma Glucose ◽  
Age Groups ◽  
Incident Diabetes ◽  
Fasting Plasma ◽  
Obesity And Diabetes

ObjectiveType 2 diabetes mellitus is increasing in young adults, and greater adiposity is considered a major risk factor. However, whether there is an association between obesity and diabetes and how this might be impacted by age is not clear. Therefore, we investigated the association between body mass index (BMI) and diabetes across a wide range of age groups (20–30, 30–40, 40–50, 50–60, 60–70 and ≥70 years old).DesignWe performed a retrospective cohort study using healthy screening programme data.SettingA total of 211 833 adult Chinese persons >20 years old across 32 sites and 11 cities in China (Shanghai, Beijing, Nanjing, Suzhou, Shenzhen, Changzhou, Chengdu, Guangzhou, Hefei, Wuhan, Nantong) were selected for the study; these persons were free of diabetes at baseline.Primary and secondary outcome measuresFasting plasma glucose levels were measured and information regarding the history of diabetes was collected at each visit. Diabetes was diagnosed as fasting plasma glucose ≥7.00 mmol/L and/or self-reported diabetes. Patients were censored at the date of diagnosis or the final visit, whichever came first.ResultsWith a median follow-up of 3.1 years, 4174 of the 211 833 participants developed diabetes, with an age-adjusted incidence rate of 7.35 per 1000 persons. The risk of incident diabetes increased proportionally with increasing baseline BMI values, with a 23% increased risk of incident diabetes with each kg/m2increase in BMI (95% CI 1.22 to 1.24). Across all age groups, there was a linear association between BMI and the risk of incident diabetes, although there was a stronger association between BMI and incident diabetes in the younger age groups (age×BMI interaction, p<0.0001).ConclusionsAn increased BMI is also independently associated with a higher risk of developing diabetes in young adults and the effects of BMI on incident diabetes were accentuated in younger adults.

scholarly journals ACCURACY AND PREDICTIVE CAPABILITY OF BODY MASS INDEX IN EVALUATION OF OBESITY AND BODY FATNESS LEVEL IN POLICE OFFICERS

2020 ◽  
Vol 25 (3) ◽  
Author(s):  
Filip Kukic ◽  
Jay Dawes ◽  
Jillian Joyce ◽  
Aleksandar Čvorović ◽  
Milivoj Dopsaj
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Police Officers ◽  
Age Groups ◽  
Obesity Prevalence ◽  
Regression Analyses ◽  
Predictive Capability ◽  
Chi Square ◽  
Body Fatness ◽  
Significant Difference

This study evaluated the accuracy and predictive value of body mass index (BMI) in evaluation of obesity and body fatness. Data on BMI and percent body fat (PBF) were collected on 953 male police officers who were allocated into age groups: 20-29 years, 30-39 years, and 40-49 years. BMI > 30.0 kg/m2 and PBF > 25% were classified as obese, and those with lower values were classified as non-obese. Chi-square was used to evaluate the accuracy in classification in obese and non-obese when officers’ BMI was matched to PBF. Pearson’s correlation and linear regression analyses determined the prediction value of BMI. Chi-square revealed significant difference in obesity prevalence when evaluated by BMI and PBF, with classification accuracy of 44.5%-71.8%, depending on age. BMI had moderate prediction value of body fatness. If the assessment of PBF is not attainable, BMI needs to be used carefully as it is likely to underestimate obesity among police officers.

scholarly journals Cardiorespiratory Fitness Normative Values in Latin-American Adolescents: Role of Fatness Parameters

2019 ◽  
Vol 16 (20) ◽  
pp. 3889 ◽  
Author(s):  
Robinson Ramírez-Vélez ◽  
Antonio García-Hermoso ◽  
Alicia María Alonso-Martínez ◽  
César Agostinis-Sobrinho ◽  
Jorge Enrique Correa-Bautista ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Cardiorespiratory Fitness ◽  
Latin American ◽  
Age Groups ◽  
Specific Reference ◽  
Z Score ◽  
Anthropometric Parameters ◽  
Age And Sex

The aim of this study was to provide percentile values for a cardiorespiratory fitness (CRF) field test for Latin-American adolescents (34,461 girls and 38,044 boys) aged 13 to 15 years. The role of fatness parameters on the CRF level across age groups was also examined, with a focus on non-obese (healthy) and obese groups. CRF was assessed using the 20-meter shuttle run test protocol. Anthropometric parameters were measured using body mass index z-score (body mass index (BMI) z-score), BMI, waist circumference (WC), and waist-to-height ratio (WHtR). Participants were categorized according to the BMI z-score, WC, and WHtR international cut-off points as healthy and obese. Age- and sex-specific reference tables for the 3rd, 10th, 25th, 50th, 75th, 90th, and 97th centile scores were calculated using Cole’s lambda, mu, and sigma method. The prevalence of obesity according to the BMI z-score, WC, and WHtR was 9.6%, 11.2%, and 15.0%, respectively. Across all age and sex groups, a negative association was found between relative peak oxygen uptake ( V ˙ O2peak) and BMI, WC, and WHtR. In boys and girls there were higher levels of performance across all age groups, with most apparent gains between the ages of 13 and 14 years old. Overall, participants categorized in the healthy group had shown to have significantly higher V ˙ O2peak than their obese counterparts (p < 0.001; Cohen’s d > 1.0). In conclusion, our study provides age- and sex-specific reference values for CRF ( V ˙ O2peak, mL·kg−1·min−1). The anthropometric parameters were inversely associated with CRF in all ages in both sexes. The obese group had worse CRF than their healthy counterparts independent of anthropometric parameters used to determine obesity.

scholarly journals PREDICTION EQUATION FOR SHUTTLE RUN DISTANCE USING 20 METRE SHUTTLE RUN TEST IN HEALTHY, INDIAN CHILDREN AGED 7 TO 19 YEARS.

2019 ◽  
pp. 1-3
Author(s):  
Ashwini Dangi
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Prediction Equation ◽  
Specific Reference ◽  
Indian Children ◽  
Reference Equation ◽  
Specific Prediction ◽  
Run Test ◽  
Gender Specific ◽  
Shuttle Run

Objectives:To frame individualized gender – specific prediction equations for shuttle run distance using 20 metre shuttle run test in healthy, Indian children aged between 7 to 19 years and to correlate shuttle run distance with age, height, weight & body mass index. Methods: 494 subjects between the age group of 7 to 19 years were recruited in this study. Demographic details like age, gender, height, weight and body mass index were noted. 20 metre shuttle run test was performed and shuttle run distance was calculated for all participants. Results: Shuttle run distance significantly correlated with age (r =0.303), height (r =0.357), weight (r =0.294), and body mass index (r =0.126). The gender specific reference equation generated forboys is -367.724 + (27.225 x Age) + (487.457 x Height) – (3.213 x Weight) and for girls is 153.689 +(10.306 x Age) +(118.113 x Height) – (1.421 x Weight). Conclusion: The established prediction equation can be used as a reference to evaluate exercise capacity for children and adolescents and to improve the applicability of the 20 metre shuttle run test in clinical practice

Age-specific reference intervals of serum anti-Müllerian hormone in Chinese girls

2021 ◽  
pp. 000456322110028
Author(s):  
Jin Wang ◽  
Ting Yao ◽  
Xinxin Zhang ◽  
Qi Chen ◽  
Shuo Gong ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Luteinizing Hormone ◽  
Body Mass ◽  
Follicle Stimulating Hormone ◽  
Reference Intervals ◽  
Specific Reference ◽  
Hormone Concentration ◽  
Healthy Chinese ◽  
Chinese Girls ◽  
Stimulating Hormone

Background This study aimed to establish anti-Mullerian hormone age-specific reference intervals and determine the correlation between the anti-Mullerian hormone concentration and age, body mass index and concentrations of follicle-stimulating hormones and luteinizing hormone in healthy Chinese girls. Methods Serum anti-Mullerian hormone concentrations of 1702 healthy girls (0−12 years), recruited between March 2018 and December 2019, were determined using the Beckman Access 2 automated chemiluminescence immunoassay. Single-year-specific medians of anti-Mullerian hormone and effects of age, body mass index, follicle-stimulating hormone and luteinizing hormone on anti-Mullerian hormone concentration were analysed. Results The anti-Mullerian hormone median level continued increasing from birth, reached its peak at age 9 at 4.45 ng/mL (interquartile range [IQR] 2.58–6.90) and then gradually decreased. At age 12, the median reached 1.98 ng/mL (IQR 1.05–3.46). Age-specific reference intervals for anti-Mullerian hormone were established in healthy Chinese girls aged 0–12 years. Anti-Mullerian hormone concentrations showed a moderately positive correlation with age (r = 0.33, P < 0.001). In contrast, follicle-stimulating hormone (r = –0.29, P < 0.001) concentrations were weakly negatively correlated with the serum anti-Mullerian hormone concentration. Conclusion We established single-year-specific reference intervals for anti-Mullerian hormone in Chinese girls using the Beckman chemiluminescent platform. This reference range can help clinicians accurately understand anti-Mullerian hormone secretion in healthy girls and promote its clinical use.

scholarly journals Comparative analysis of children’s physical development in different age groups in Voronezh region 15 years apart (1997-1999 and 2011-2014)

2017 ◽  
Vol 98 (3) ◽  
pp. 433-439
Author(s):  
O A Zhdanova
Keyword(s):  
Body Mass Index ◽  
Body Weight ◽  
Body Mass ◽  
Body Height ◽  
Age Groups ◽  
Physical Development ◽  
World Health ◽  
Who Standards ◽  
Voronezh Region ◽  
Health Organization

Aim. To investigate physical development of children in Voronezh region in different age groups in 2011-2014 in comparison with the regional studies data in 1997-1999. Methods. The study was performed on 5644 children aged 1-18 years of health groups I and II in comparison with the data of 10 247 children aged 1-14 years examined in 1997-1999. Body height, weight and body mass index Z-scores, calculated using WHO AnthroPlus software, were evaluated. Results. Children’s Z-score values for body height in 2011-2014 were higher than in 1997-1999 in all age groups and at the age of 1-9 years these values exceeded World Health Organization (WHO) standards. Girls’ height approached the standards in 10-14 and 15-18 years, and boys’ height - in 15-18 years. Body weight of children aged 2-8 years was higher than the regional data in 1997-1999 and WHO standards approaching them at the age of 9. Body mass index increase compared to WHO standards was revealed in children aged 1-4 years (p=0.000), and in 2011-2014 the reported differences were less prominent than in 1997-1999. In 2011-2014 among 15-18-years-old girls the shift of body mass index values to the lack of body weight was noted, in 1997-1999 the same changes were found out for 10-14-years-old girls. Conclusion. In 2011-2014 specific attention was required to be paid to physical development of children at the age from 1 to 4 years due to overweight risk of and girls aged 15-18 years due to probable underweight risk.

scholarly journals The Relationships of Watching Television, Computer Use, Physical Activity, and Food Preferences to Body Mass Index: Gender and Nativity Differences among Adolescents in Saudi Arabia

2021 ◽  
Vol 18 (18) ◽  
pp. 9915
Author(s):  
Ahmad H. Alghadir ◽  
Zaheen A. Iqbal ◽  
Sami A. Gabr
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Saudi Arabia ◽  
Body Mass ◽  
Fast Food ◽  
Online Teaching ◽  
Age Groups ◽  
Food Preferences ◽  
Saudi Students ◽  
Adolescent Students

Background: Adolescents and ethnic subgroups have been identified at high risks of overweight and its associated complications. Although some studies have investigated overweight, obesity, nutritional status, physical activity, and associated factors among Saudi students, no studies have examined these characteristics among non-Saudi students or compared non-Saudi to Saudi adolescent students. The objective of this study was to compare differences between Saudi and non-Saudi adolescent students regarding time spent watching television, using computers, engaging in physical activity, and their food preferences. The relationships between these lifestyle behaviors and body mass index by Saudi nativity and gender were tested. Methods: Students aged 12 to 18 years (n = 214) from various schools in Riyadh, Saudi Arabia, completed a self-administered questionnaire that included questions about demographic and anthropometric characteristics, daily after-school routine, physical activity, watching television, using computers, and food preferences. Non-parametric (Mann–Whitney U) tests assessed the statistical differences between Saudi and non-Saudi respondents, and males and females were separately tested. Results: Saudi boys who reported physical activity two to five times per week, the most television time, the most computer time, and the highest frequency of eating fast food and drinking soft drinks had a significantly higher mean body mass index than the non-Saudi boys in their categories. However, there were no significant differences found between the Saudi and non-Saudi girls. Conclusions: High levels of sedentary and low levels of physical activities as well as high consumption of high-fat fast foods and high-sugar drinks threaten the health of Saudi adolescents. Cultural differences in lifestyle between Saudi and non-Saudi families should be considered when developing programs to improve knowledge, attitudes, and behaviors regarding diet quality and physical activity. The objective of this study is more important in the current situation where increased time spent on computers and mobile phones due to online teaching in schools or working from home, decreased physical activity due to precautionary lockdowns, and unchecked eating patterns while spending more time in sedentary activities in homes has become our COVID-19 pandemic lifestyle in all the age groups. A similar study should be replicated on a large scale to study the effect of this lifestyle on our lives in all the age groups.

scholarly journals Comparative Study About Youth Body Height by Age Group and BMI at Medical Faculty of UMM

2020 ◽  
Vol 16 (1) ◽  
pp. 50
Author(s):  
Anung Putri Ilahika ◽  
Wiby Fahmi Wijaya
Keyword(s):  
Body Mass Index ◽  
Medical Students ◽  
Comparative Study ◽  
Body Mass ◽  
Growth And Development ◽  
Continuous Process ◽  
Age Groups ◽  
Medical Faculty ◽  
The Body ◽  
Measurement Results

Growth and development is a continuous process in the process of reaching adulthood, including the teenage stage. The problem that is often faced is physical change. Adolescent physical changes that appear are the increase in height and weight which affects the Body Mass Index (BMI). Height is one of the important things in adolescent growth and development. which is affected by genetic and environmental factors. The peak of growth in adolescents is different between boys and girls, so the pattern of height and BMI are also different. The purpose of this study was to determine differences in adolescent height based on age groups and BMI in Medical Faculty of UMM. This research is a comparative study by taking a sample of 100 medical students of UMM who have an age range of 17-20 years. The data to be taken is height measured using a MIC scale health scale ratio ratio. The measurement results have a numerical scale with units of centimeters (cm). Body mass index (BMI) is an index obtained from the division of body weight with height2. The measurement results are stated in kg / m2. All data obtained will be analyzed using the ANOVA comparative test. ANOVA test results generated p value in the two groups of students> 0.05 which concluded that the mean height of the student body based on age and BMI was not significantly different (not significant) statistically for both men and women. The conclusion from this study there were no differences in adolescent height based on age groups and BMI among medical students of UMM.

Morbid obesity in the UK: A modelling projection study to 2035

2018 ◽  
Vol 48 (4) ◽  
pp. 422-427 ◽  
Author(s):  
Laura Keaver ◽  
Benshuai Xu ◽  
Abbygail Jaccard ◽  
Laura Webber
Keyword(s):  
Body Mass Index ◽  
Morbid Obesity ◽  
Body Mass ◽  
Communicable Disease ◽  
Age Groups ◽  
Morbidly Obese ◽  
Healthy Weight ◽  
Individual Level ◽  
Annual Distribution ◽  
The Uk

Background: Morbid obesity (body mass index ⩾40 kg/m2) carries a higher risk of non-communicable disease and is associated with more complex health issues and challenges than obesity body mass index ≥30kg/m2 and <40kg/m2, resulting in much higher financial implications for health systems. Although obesity trends have previously been projected to 2035, these projections do not separate morbid obesity from obesity. This study therefore complements these projections and looks at the prevalence and development of morbid obesity in the UK. Methods: Individual level body mass index data for people aged >15 years in England, Wales (2004–2014) and Scotland (2008–2014) were collated from national surveys and stratified by sex and five-year age groups (e.g. 15–19 years), then aggregated to calculate the annual distribution of healthy weight, overweight, obesity and morbid obesity for each age and sex group. A categorical multi-variate non-linear regression model was fitted to these distributions to project trends to 2035. Results: The prevalence of morbid obesity was predicted to increase to 5, 8 and 11% in Scotland, England and Wales, respectively, by 2035. Welsh women aged 55–64 years had the highest projected prevalence of 20%. In total, almost five million people are forecast to be classified as morbidly obese across the three countries in 2035. Conclusions: The prevalence of morbid obesity is predicted to increase by 2035 across the three UK countries, with Wales projected to have the highest rates. This is likely to have serious health and financial implications for society and the UK health system.

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