scholarly journals Physical Fitness, Grit, School Attendance, and Academic Performance among Adolescents

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Jonathan M. Cosgrove ◽  
Yen T. Chen ◽  
Darla M. Castelli

Objective. The purpose of this study was to examine the relationship of grit as a construct representing perseverance to overcoming barriers and the total number of school absences to academic performance (AP) while controlling for sociodemographics, fitness (i.e., PACER), and Body Mass Index (BMI). Methods. Adolescents (N = 397, SD = 1.85; 80.9% females; 77.1% Hispanic) from an urban, minority-majority city in the Southern United States completed the FitnessGram® assessment of physical fitness (e.g., aerobic capacity and Body Mass Index (BMI)) and the valid and reliable short grit survey. The schools provided sociodemographics, attendance, and AP data for the adolescents. Results. Adolescents with higher grit scores (rs=0.21, P < 0.001) and less total absences (rs=-0.35, P < 0.001) performed better on AP. Hierarchical multiple regression indicated that grit and absences were associated with AP (β = 0.13, P < 0.01 and β = −0.35, P < 0.001, resp.). Conclusions. Grit and a total number of absences are significant contributors to academic success, particularly among Hispanic adolescents. Further, grit and school attendance may serve as a better measure of protective factors over proximal health measures of cardiovascular health and BMI.

2006 ◽  
Vol 19 (5) ◽  
pp. 388-395 ◽  
Author(s):  
MAMDOUH M. SHUBAIR ◽  
POORNIMA PRABHAKARAN ◽  
VIKTORIA PAVLOVA ◽  
JAMES L. VELIANOU ◽  
ARYA M. SHARMA ◽  
...  

2016 ◽  
Vol 01 (04) ◽  
Author(s):  
John Fidler ◽  
Patrick McLaughlin ◽  
Deborah Bubela ◽  
Samantha E Scarneo ◽  
Jennifer McGarry ◽  
...  

2012 ◽  
Vol 52 (5) ◽  
pp. 267
Author(s):  
Rizky Adriansyah ◽  
Muhammad Ali ◽  
Hakimi Hakimi ◽  
Melda Deliana ◽  
Siska Mayasari Lubis

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].


2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Bingyang Liu ◽  
Yue Li ◽  
Jiamei Guo ◽  
Yuting Fan ◽  
Ling Li ◽  
...  

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.


2007 ◽  
Vol 20 (2) ◽  
pp. 217-234 ◽  
Author(s):  
Kristi Rahrig Jenkins ◽  
Nancy H. Fultz

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