Injury Patterns by Body Mass Index in US High School Athletes

2011 ◽  
Vol 8 (2) ◽  
pp. 182-191 ◽  
Author(s):  
Ellen Yard ◽  
Dawn Comstock
Keyword(s):  
High School ◽  
Body Mass Index ◽  
Body Mass ◽  
Knee Injuries ◽  
Sports Injury ◽  
Normal Weight ◽  
Overweight And Obesity ◽  
High School Athletes ◽  
Injury Patterns ◽  
Nationally Representative

Background:There are over 7 million US high school athletes and one-third are overweight or obese. Our objective was to examine injury patterns by body mass index (BMI) in high school athletes.Methods:Certified athletic trainers (ATCs) at 100 nationally representative US high schools submitted exposure and injury information during the 2005 to 08 school years via High School RIO (Reporting Information Online). We retrospectively categorized injured athletes as underweight (≤15th percentile), normal weight (15th−85th percentile), overweight (85th−95th percentile), or obese (≥95th percentile).Results:ATCs reported 13,881 injuries during 5,627,921 athlete-exposures (2.47 injuries per 1000 athlete-exposures). Nearly two-thirds (61.4%) of injured high school athletes were normal weight. The prevalence of overweight and obesity was highest among injured football athletes (54.4%). Compared with normal weight athletes, obese athletes sustained a larger proportion of knee injuries (Injury Proportion Ratio [IPR] = 1.27, 95% CI: 1.14 to 1.42) and their injuries were more likely to have resulted from contact with another person (IPR = 1.31, 95% CI: 1.26 to 1.37). Compared with normal weight athletes, underweight athletes sustained a larger proportion of fractures (IPR = 1.45, 95% CI: 1.10 to 1.92) and a larger proportion of injuries resulting from illegal activity (IPR = 1.59, 95% CI: 1.03 to 2.46).Conclusions:Injury patterns differ by BMI. BMI-targeted preventive interventions should be developed to help decrease sports injury rates.

scholarly journals Accuracy of Age-Based Formula to Predict the Size and Depth of Cuffed Oral Preformed Endotracheal Tubes in Children Undergoing Tonsillectomy

2021 ◽  
pp. 014556132098051
Author(s):  
Matula Tareerath ◽  
Peerachatra Mangmeesri
Keyword(s):  
Body Mass Index ◽  
Endotracheal Tube ◽  
Body Mass ◽  
Normal Weight ◽  
Overweight And Obesity ◽  
The Body ◽  
Insertion Depth ◽  
Endotracheal Tubes ◽  
Endotracheal Tube Size ◽  
Actual Size

Objectives: To retrospectively investigate the reliability of the age-based formula, year/4 + 3.5 mm in predicting size and year/2 + 12 cm in predicting insertion depth of preformed endotracheal tubes in children and correlate these data with the body mass index. Patients and Methods: Patients were classified into 4 groups according to their nutritional status: thinness, normal weight, overweight, and obesity; we then retrospectively compared the actual size of endotracheal tube and insertion depth to the predicting age-based formula and to the respective bend-to-tip distance of the used preformed tubes. Results: Altogether, 300 patients were included. The actual endotracheal tube size corresponded with the Motoyama formula (64.7%, 90% CI: 60.0-69.1), except for thin patients, where the calculated size was too large (0.5 mm). The insertion depth could be predicted within the range of the bend-to-tip distance and age-based formula in 85.0% (90% CI: 81.3-88.0) of patients. Conclusion: Prediction of the size of cuffed preformed endotracheal tubes using the formula of Motoyama was accurate in most patients, except in thin patients (body mass index < −2 SD). The insertion depth of the tubes was mostly in the range of the age-based-formula to the bend-to-tip distance.

scholarly journals Nutrition Literacy among Adolescents and Its Association with Eating Habits and BMI in Tripoli, Lebanon

Diseases ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 25
Author(s):  
Sara Taleb ◽  
Leila Itani
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Food Habits ◽  
Eating Habits ◽  
Normal Weight ◽  
Overweight And Obesity ◽  
Assessment Instrument ◽  
Inverse Association ◽  
Unhealthy Lifestyle ◽  
Cross Sectional

(1) Background: Adolescence is a period of increased autonomy and independent decision making; it determines health behaviors that can persist into the future. Individual factors like food choices and unhealthy lifestyle have an essential role in the development and prevention of obesity among adolescents and are associated with the nutrition literacy of parents and other adults. While the association of parents’ nutrition literacy with adolescent BMI has been addressed, there is still a scarcity of studies that examine the effect of adolescents’ nutrition literacy on their eating habits and body mass index (BMI) status. (2) Methods: A cross-sectional study was conducted that included 189 adolescents (68 with overweight and obesity and 121 with normal weight) aged between 14–19 years from four private schools in Tripoli, Lebanon. A self-administered questionnaire that included the Nutrition Literacy Assessment Instrument (NLAI) and the Adolescent Food Habits Checklist (AFHC) was used. Anthropometrics were measured using standardized procedures. The association between nutrition literacy, food habits and BMI was assessed using a chi squared test for independence and Poisson regression analysis where suitable. (3) Results: Results indicated no association between all five components of nutrition literacy and body mass index categories. Furthermore, there was no association between the Adolescent Food Habits Checklist and overweight or obese BMI status (RR = 0.947, 95%CI: 0.629–1.426) (p = 0.796). No association was observed between nutrition literacy and food habits, except for an inverse association with macronutrients literacy. (4) Conclusions: In conclusion, the study indicated that there was no association between the components of nutrition literacy with body mass index or with food habits, except for macronutrient literacy.

scholarly journals Body mass index and lifetime healthcare utilization

2019 ◽  
Author(s):  
Christina Hansen Edwards ◽  
Eline Aas ◽  
Jonas Minet Kinge
Keyword(s):  
Primary Care ◽  
Body Mass Index ◽  
Healthcare Utilization ◽  
Body Mass ◽  
Secondary Care ◽  
Positive Association ◽  
Normal Weight ◽  
Overweight And Obesity ◽  
Care Utilization ◽  
Global Public Health

Abstract Background: Overweight and obesity is a major global public health challenge, and understanding the implications for healthcare systems is essential for policy planning. Past studies have typically found positive associations between obesity and healthcare utilization, but these studies have not taken into consideration that obesity is also associated with early mortality. We examined associations between body mass index (BMI, reported as kg/m2) and healthcare utilization with and without taking BMI-specific survival into consideration. Methods: We used nationally representative data on 33 882 adults collected between 2002 and 2015. We computed BMI- and age-specific primary and secondary care utilization and multiplied the estimated values with gender-, age-, and BMI-specific probabilities of surviving to each age. Then, we summed the average BMI-specific utilization between 18 and 85 years. Results: During a survival-adjusted lifetime, males with normal weight (BMI: 18.5–24.9) had, on average, 167 primary care, and 77 secondary care contacts. In comparison, males with overweight (BMI: 25.0–29.9), category I obesity (BMI: 30.0–34.9), and category II/III obesity (BMI ≥35.0) had 11%, 41%, and 102% more primary care, and 14%, 29%, and 78% more secondary care contacts, respectively. Females with normal weight had, on average, 210 primary care contacts and 91 secondary care contacts. Females with overweight, category I obesity, and category II/III obesity had 20%, 34%, and 81% more primary care contacts, and 26%, 16%, and 16% more secondary care contacts, respectively. Conclusion: The positive association between BMI and healthcare utilization was reduced, but not offset, when BMI-specific survival was taken into consideration. Our findings underpin previous research and suggest that interventions to offset the increasing prevalence of overweight, and especially obesity, are warranted.

Positive Association Between Body Mass Index and Hematologic Parameters, Including RBC, WBC and Platelet Count, in Korean Children and Adolescent

2021 ◽  
Author(s):  
Hwal Rim Jeong ◽  
Young Seok Shim
Keyword(s):  
Body Mass Index ◽  
Children And Adolescents ◽  
Body Mass ◽  
Linear Regression Analysis ◽  
Positive Association ◽  
Multiple Linear Regression Analysis ◽  
Normal Weight ◽  
Overweight And Obesity ◽  
Korean Children ◽  
Children And Adolescent

Abstract Objective: To investigate the associations between hematologic parameters and obesity in children and adolescents.Methods: A total of 7,997 subjects (4,259 boys, 3,738 girls) aged 10–18 years was enrolled and hematologic parameters, including WBC, RBC, Hb, Hct, and platelet levels, were recorded and compared against body mass index (BMI) classified into normal-weight, overweight, and obesity groups.Results : The obesity group had significantly higher mean levels of WBC (7.16 vs. 6.16 (x103/mm3), p<0.001), RBC (4.90 vs. 4.82 (x106/mm3), p<0.001), Hb (14.07 vs. 13.99 (g/dL), p<0.05), Hct (42.31 vs. 41.91 (%), p<0.001) and platelets (311.87 vs. 282.66 (x103/mm3), p<0.001) than the normal-weight group after adjusting for obesity and sex. BMI SDS was significantly positively associated with WBC (β=0.275, p<0.001), RBC (β=0.028, p<0.001), Hb (β=0.034, p<0.001), Hct (β=0.152, p<0.001), and platelets (β=8.372, p<0.001) after adjusting for age, sex, and possible socioeconomic confounders in a multiple linear regression analysis.Conclusion: Higher BMI is associated with elevated WBC, RBC, Hb, Hct and platelet counts in children and adolescents. Because higher hematologic parameters are potential risk factors for obesity-related morbidity, more attention should be paid to evaluating and interpreting hematologic parameters in children and adolescents with obesity

scholarly journals Nutrition, physical activity and lifestyle as important indicators for the body mass index in high school students

2021 ◽  
Vol 11 (9) ◽  
pp. 137-147
Author(s):  
Lorik Ramaj ◽  
Sadete Hasani
Keyword(s):  
Physical Activity ◽  
High School ◽  
Body Mass Index ◽  
High School Students ◽  
Body Mass ◽  
Overweight And Obesity ◽  
The Body ◽  
Normal Male ◽  
School Students ◽  
Significant Difference

The purpose of this study was to investigate and analyze the problems of underweight, overweight and obesity in young people of high school in Drenas, respectively a sample of 150 adolescents (73 males and 77 females aged 17 years). The research was conducted in the physical education class, initially was performed measurement of weight and height then the questionnaire with 26 questions. Data were collected with the statistical program SPSS version 21.0, descriptive analysis was performed with (Mean and standard deviation), all variables were tested for normality, significant level (significant level p <0.05). Results of anthropometric characteristics, the average age was 17.2 years. Weight / kg for men was 59.4 kg for women 57.3kg the average for both genders was 58.3 (± 6.2) kg. Height / cm  males 1.68cm,  females 1.61cm the average of both genders was 1.64 (± 6.6) cm. BMI body mass index kg / m² in men 21.0, women 22.1, the average of both sexes 21.55 kg / m5. The results show that men have lower BMI (p> 0.05) 21.55 kg / m² than girls with 22.1 kg / m². Data showed underweight males are 12%, and females 10%. BMI Normal male 74%, and female 69%. Overweight males 11%, females 13% while a significant difference was observed between obese boys and girls (obese) males 3% and females 8%. The analysis of the questionnaire showed that small percentages are involved in collective or individual sports, the most pronounced participation in sports was identified: football, volleyball and basketball, and relatively satisfactory were physical activity in household activities. It is recommended to build outdoor fitness and sports gyms, as well as the opening of various sports clubs in this area, and to have more research in this area, to prove the institucions how important are places for sport and physical activities.

scholarly journals Blood Type and Blood Pressure Correlations to Body Mass Index in Young Adults

2021 ◽  
Vol 56 (3) ◽  
pp. 203
Author(s):  
Bambang Edi Suwito ◽  
Viskasari P Kalanjati ◽  
Abdurachman Abdurachman
Keyword(s):  
Blood Pressure ◽  
Body Mass Index ◽  
Body Mass ◽  
Normal Weight ◽  
Overweight And Obesity ◽  
The Body ◽  
Blood Type ◽  
Blood Pressures ◽  
Abo Blood Type ◽  
Level Of Significance

Specific ABO blood type was reported to the higher risk of having overweight and obesity. The laters had also been suggested to correlate to blood pressure. Here we studied blood type and blood pressure amongst seemingly healthy university students of IIKBW, Kediri to understand their correlations to the body mass index (BMI). The blood typing (ABO typing, Eryclone®) and blood pressure (automated digital sphygmomanometer) of 74 male and 76 female were measured in duplicate accordingly. The BMI was analysed from the student’s body weight and height using a digital balance and a microtoise staturemeter, respectively. Data were analysed using SPSS 17 with p<0.05 level of significance. There were 18.7% students have A blood type, 31.3% students were B type, 44% were O and 6.0% with AB blood type. There were 30.7% students with obesity, 18% overweight, 36% normal weight and 15.3% underweight. There were 4.7% had a hypertension, 28.7% pre-hypertension, and 66.7% were normal. No significant correlations found between BMI or the blood pressure to any specific ABO blood type, except between the blood pressure and the AB blood type (r=-0.179, p=0.03). However, there was a significant correlation between BMI and blood pressure (r=0.327, p=0.000). We observed no significant associations between any specific ABO blood type with the BMI and blood pressure. However, high blood pressures amongst students with obesity were found. Males were more common to suffer from obesity and high blood pressure than females.

scholarly journals Body mass index and lifetime healthcare utilization

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Christina Hansen Edwards ◽  
Eline Aas ◽  
Jonas Minet Kinge
Keyword(s):  
Primary Care ◽  
Body Mass Index ◽  
Healthcare Utilization ◽  
Body Mass ◽  
Secondary Care ◽  
Positive Association ◽  
Normal Weight ◽  
Overweight And Obesity ◽  
Care Utilization ◽  
Global Public Health

Abstract Background Overweight and obesity is a major global public health challenge, and understanding the implications for healthcare systems is essential for policy planning. Past studies have typically found positive associations between obesity and healthcare utilization, but these studies have not taken into consideration that obesity is also associated with early mortality. We examined associations between body mass index (BMI, reported as kg/m2) and healthcare utilization with and without taking BMI-specific survival into consideration. Methods We used nationally representative data on 33 882 adults collected between 2002 and 2015. We computed BMI- and age-specific primary and secondary care utilization and multiplied the estimated values with gender-, age-, and BMI-specific probabilities of surviving to each age. Then, we summed the average BMI-specific utilization between 18 and 85 years. Results During a survival-adjusted lifetime, males with normal weight (BMI: 18.5–24.9) had, on average, 167 primary care, and 77 secondary care contacts. In comparison, males with overweight (BMI: 25.0–29.9), category I obesity (BMI: 30.0–34.9), and category II/III obesity (BMI ≥35.0) had 11%, 41%, and 102% more primary care, and 14%, 29%, and 78% more secondary care contacts, respectively. Females with normal weight had, on average, 210 primary care contacts and 91 secondary care contacts. Females with overweight, category I obesity, and category II/III obesity had 20%, 34%, and 81% more primary care contacts, and 26%, 16%, and 16% more secondary care contacts, respectively. Conclusion The positive association between BMI and healthcare utilization was reduced, but not offset, when BMI-specific survival was taken into consideration. Our findings underpin previous research and suggest that interventions to offset the increasing prevalence of overweight, and especially obesity, are warranted.

Knee Injuries in Normal-Weight, Overweight, and Obese Runners: Does Body Mass Index Matter?

2020 ◽  
Vol 50 (7) ◽  
pp. 397-401
Author(s):  
Cecilie Juhler ◽  
Karen Bredahl Andersen ◽  
Rasmus Oestergaard Nielsen ◽  
Michael Lejbach Bertelsen
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Knee Injuries ◽  
Normal Weight

Relationship between Body Mass Index - BMI and Vitamin D Concentrations in Women with Postmenopausal Osteoporosis

2021 ◽  
Vol 17 ◽  
Author(s):  
Joanna Głogowska-Szeląg ◽  
Aleksandra Bełz ◽  
Dariusz Kajdaniuk ◽  
Beata Kos–Kudła ◽  
Bogdan Marek ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Vitamin D ◽  
Vitamin D Deficiency ◽  
Postmenopausal Osteoporosis ◽  
Body Mass ◽  
Hypovitaminosis D ◽  
Normal Weight ◽  
Overweight And Obesity ◽  
X Ray ◽  
Metabolic Bone

Introduction: Osteoporosis is the most common metabolic bone disease. Vitamin D deficiency, often associated with osteoporosis and other bone tissue disorders, is spread worldwide. Among other factors, obesity seems to be a major cause of the growing hypovitaminosis D. Aim: The aim of the study was to assess the correlation between body mass index (BMI) and vitamin D concentrations in postmenopausal women diagnosed with osteoporosis. Materials and methods: Sixty nine women with postmenopausal osteoporosis were included in study. Dual- energy X-ray absorptiometry and vitamin D measures were performed in all patients. Three groups, BMI- dependent, were distinguished: normal weight, overweight and obesity group. Results: The vitamin D deficiency was found in all women with postmenopausal osteoporosis. There was no correlation between BMI and vitamin D level. Conclusions: Vitamin D deficiency is frequent in population of patients diagnosed with postmenopausal osteoporosis, regardless of their BMI.

scholarly journals Associations Between Anxiety Disorder Diagnoses and Body Mass Index Differ by Age, Sex and Race: A Population Based Study

2016 ◽  
Vol 12 (1) ◽  
pp. 67-74 ◽  
Author(s):  
Ramona S. DeJesus ◽  
Carmen R. Breitkopf ◽  
Jon O. Ebbert ◽  
Lila J. Finney Rutten ◽  
Robert M. Jacobson ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Anxiety Disorders ◽  
Body Mass ◽  
Inverse Correlation ◽  
Black Population ◽  
Population Based ◽  
Normal Weight ◽  
Overweight And Obesity ◽  
Racial Groups ◽  
Rochester Epidemiology Project

Background: Few large studies have examined correlations between anxiety and body mass index (BMI) by gender or racial groups using clinical data. Objective: This study aimed to determine associations between diagnosed anxiety disorders and BMI, and evaluate whether observed associations varied by demographic characteristics. Method: Data from the Rochester Epidemiology Project (REP) data linkage system were analyzed to examine associations between anxiety disorders and BMI among adults ages 18-85 residing in Olmsted County, MN in 2009 (n=103,557). Height and weight data were available for 75,958 people (73%). The international classification of underweight, overweight, and obesity by BMI was used. Results: Population consisted of 56% females, 92.8% White individuals, with median age of 46 years. When adjusted for age, sex, and race, we observed a U-shaped association between anxiety and BMI group. Underweight and obese individuals were more likely to have an anxiety diagnosis compared to normal weight individuals. Stratification by sex yielded a U-shaped association between anxiety and BMI only in women. Stratification by race showed a U-shaped association between anxiety and BMI only in the White population. Anxiety was significantly associated only with obesity in the Black population. Anxiety was not associated with a BMI category in Asian or Hispanic groups. Among elderly group, there is inverse correlation between anxiety and obesity. Conclusion: Our results suggest that anxiety may have heterogeneous associations with BMI in the population. Further research on potential mechanisms contributing to these findings will help direct efforts in anxiety and obesity management across diverse population groups.

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