scholarly journals Body Mass Index and Its Change from Adolescence to Adulthood Are Closely Related to the Risk of Adult Metabolic Syndrome in China

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Bingyang Liu ◽  
Yue Li ◽  
Jiamei Guo ◽  
Yuting Fan ◽  
Ling Li ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Body Mass ◽  
Glycosylated Hemoglobin ◽  
Early Adulthood ◽  
Study Groups ◽  
Relationship Of ◽  
Baseline Bmi ◽  
The Relationship

Aims. To investigate the influence of body mass index (BMI) and its change from adolescence to adulthood (ΔBMI) on the risk of metabolic syndrome (MetS) in early adulthood. Methods. We selected 931 students from 12 to 16 years of age in Liaoyang City, China. Ninety-three participants from 18 to 22 years of age with complete baseline data were available for follow-up after 5 years. Statistical analysis determined the relationship of MetS at follow-up with baseline BMI (BMIb), ΔBMI, and follow-up BMI (BMIf). Results. ΔBMI was positively correlated with the change of waist circumference (ΔWC), systolic blood pressure (ΔSBP), triglycerides (ΔTG), uric acid, and glycosylated hemoglobin (ΔHbA1c) in follow-up ( p < 0.05 ). For every 1 kg/m2 increase in BMIb, ΔBMI, and BMIf, the risk of MetS at follow-up increased 1.201-fold, 1.406-fold, and 1.579-fold, respectively. Both BMIb and ΔBMI were predictive of MetS at follow-up, with prediction thresholds of 23.47 kg/m2 and 1.95 kg/m2. The participants were divided by the predicted BMIb and ΔBMI threshold values into four study groups. Interestingly, the group with lower BMI but a higher increase in BMI presented the same metabolic derangements and Mets% of the group with higher BMI but lower Δ BMI. Conclusion. Both BMI of adolescence and ΔBMI were predictive of MetS and cardiovascular risk factors in adulthood. Control of both variables in adolescents would be more effective in decreasing the risk of MetS in young adults than control of BMI alone.

scholarly journals Body Mass Index Trajectories in Adolescence And Incident Metabolic Syndrome in Early Adulthood

2021 ◽  
Author(s):  
Ming Ying ◽  
Xiangming Hu ◽  
Qiang Li ◽  
Zhujun Chen ◽  
Yingling Zhou
Keyword(s):  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Body Mass ◽  
Early Adulthood ◽  
Educational Background ◽  
Bmi Trajectories ◽  
The Relationship ◽  
Bmi Trajectory ◽  
High Bmi

Abstract Background: The incidence of metabolic syndrome (MetS) is increasing each year, and MetS is closely related to cardiovascular diseases. Body mass index (BMI) has been widely used to measure obesity, and the relationship between MetS and BMI has been widely reported. However, the relationship between the trajectory of BMI and MetS is still unclear.Methods: Six waves of the cross-sectional China Health and Nutrition Survey (CHNS) were completed in nine provinces in China from 1993 to 2009, with more than 12,000 participants. We enrolled individuals who were aged 10 to 20 years in 1993, and 554 participants were finally included in our study. A latent class growth mixed model was used to identify different BMI trajectory patterns based on the BMI value measured at each follow-up. Participants completed blood tests and a physical examination in 2009 to allow for the diagnosis of MetS. The primary aim was to explore the relationship between different BMI trajectories and the incidence of MetS through logistic regression, adjusting for baseline age, sex, BMI, waist circumference, residence, educational background, smoking status, alcohol consumption, and nutritional intake.Result: During a follow-up of 16 years, 61 (11.01%) participants developed MetS. In multivariate-adjusted models, different BMI trajectories were significantly associated with the occurrence of MetS in early adulthood. Childhood or adolescents with a low-high BMI trajectory or a high-high BMI trajectory showed a significantly higher risk of MetS in early adulthood than those with a low-low trajectory (low-high: OR=3.40, 95% CI: 1.14-10.13, P <0.05; high-high: OR=5.81, 95% CI: 1.63-20.69, P <0.05).Conclusion: Our study identified three BMI trajectories from adolescence through 16 years of follow-up and found that in addition to baseline BMI, BMI trajectories were also an independent risk factor for incident MetS in early adulthood.

The Relationship of Body Mass Index to Outcomes after Percutaneous Coronary Intervention

2006 ◽  
Vol 19 (5) ◽  
pp. 388-395 ◽  
Author(s):  
MAMDOUH M. SHUBAIR ◽  
POORNIMA PRABHAKARAN ◽  
VIKTORIA PAVLOVA ◽  
JAMES L. VELIANOU ◽  
ARYA M. SHARMA ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Percutaneous Coronary Intervention ◽  
Body Mass ◽  
Coronary Intervention ◽  
Percutaneous Coronary ◽  
Relationship Of ◽  
The Relationship

scholarly journals An Exploration of the Relationship of Body Mass Index with Motor Performance Measures and Quality of Life in Children Living in an Urban Setting

2016 ◽  
Vol 01 (04) ◽  
Author(s):  
John Fidler ◽  
Patrick McLaughlin ◽  
Deborah Bubela ◽  
Samantha E Scarneo ◽  
Jennifer McGarry ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Body Mass Index ◽  
Body Mass ◽  
Performance Measures ◽  
Motor Performance ◽  
Urban Setting ◽  
Relationship Of ◽  
The Relationship

scholarly journals The relationship of body mass index to penile length and testicular volume in adolescent boys

2012 ◽  
Vol 52 (5) ◽  
pp. 267
Author(s):  
Rizky Adriansyah ◽  
Muhammad Ali ◽  
Hakimi Hakimi ◽  
Melda Deliana ◽  
Siska Mayasari Lubis
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Junior High School ◽  
Testicular Volume ◽  
Adolescent Boys ◽  
Penile Length ◽  
School Students ◽  
Cross Sectional ◽  
Relationship Of ◽  
The Relationship

Background Evidence suggests that obesity may be related toearly onset of puberty in girls. However, few studies have found alink between body mass index (BMI) and puberty onset in boys.More study is needed to assess the relationship of BMI to penilelength and testicular volume.Objective To investigate the relationship ofBMI to penile lengthand testicular volume in adolescent boys.Methods A cross􀀿sectional study was carried out on adolescentboys aged 9 to 14 years in Secanggang District, Langkat Regency,North Sumatera Province in August 2009. Subjects' BMIs werecalculated by dividing body weight (BW) in kilograms by bodyheight (BH) in meters squared. Penile length (em) was measuredwith a spatula. We took the average of three measurements fromthe symphysis pubis to the tip of the glans penis. Testicular volume(mL) was estimated by palpation using an orchidometer. Pearson'scorrelation test (r) was used to assess the relationship of BMI topenile length and BMI to testicular volume.Resu lts There were 108 participants, consisting of 64primary school students and 44 junior high school students.Subjects' mean age was 11.7 (SO 1.62) years; mean BWwas 35.2 (SO 8.48) kg; mean BH was 1.4 (SO 0.11) m;mean BMI was 17.5 (SO 2.34) kg/m'; mean penile lengthwas 4.5 (SO 1.25) cm; and mean testicular volume was 3.6(SD 1.20) mL. We found no significant association betweenBMI and penile length (r􀀻-0.25, P􀀻0.06), nor betweenBMI and testicular volume (r􀀻-O.21; P􀀻O.09).Conclusion T here was no significant relationship ofBMI to penilelength nor BMI to testicular volume in adolescent boys.[Paediatr lndanes. 2012;52:267-71].

The Relationship of Older Adults' Activities and Body Mass Index

2007 ◽  
Vol 20 (2) ◽  
pp. 217-234 ◽  
Author(s):  
Kristi Rahrig Jenkins ◽  
Nancy H. Fultz
Keyword(s):  
Older Adults ◽  
Body Mass Index ◽  
Body Mass ◽  
Relationship Of ◽  
The Relationship
Sign in / Sign up

Export Citation Format

Share Document