scholarly journals Body Mass Index and 12-year Mortality Among Older Mexican Americans Aged 75 Years and Older

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 919-920
Author(s):  
Reshma Jadhav ◽  
Kyriakos S Markides ◽  
Soham Al Snih
Keyword(s):  
Body Mass Index ◽  
Morbid Obesity ◽  
Body Mass ◽  
Mexican Americans ◽  
Epidemiologic Study ◽  
Normal Weight ◽  
Overweight And Obesity ◽  
Hazard Ratio ◽  
Type I ◽  
Risk Of Death

Abstract The objective of this study was to examine the effect of body mass index (BMI) on 12-year mortality among older Mexican Americans aged 75 years and older. Data are from wave 5 (N=1,367) of the Hispanic Established Population for the Epidemiologic Study of the Elderly (2004/2005-2016). Measures included socio-demographics, self-reported medical conditions, body mass index (BMI), disability, Mini-Mental-State-Examination (MMSE), short physical performance battery (SPPB), high depressive symptoms, and falls. BMI was classified as underweight (< 18.5), normal weight (18.5 to < 25), overweight (25 to < 30), obesity type I (30 to <35), and morbid obesity (≥ 35).Cox proportional hazards regression analysis was performed to estimate the hazard ratio of 12-year mortality as a function of BMI categories at baseline. The average of the sample was 81.2 years, 17.2% were underweight, 22.7% were normal weight, 27.4% were overweight, 31.9% were obesity type I, and 38.6% were morbid obesity. Mexican Americans aged ≥75 years with overweight or obesity Type I had a reduced hazard ratio (HR) of death (HR=0.80, 95% CI=0.68-0.93 and HR=0.73, 95% CI=0.60-0.88, respectively) over 12-years of follow-up. The HR of death for underweight and morbid obesity participants was 1.78 (95% CI=1.13-2.80) and 1.03 (95% CI=0.79-1.36), respectively. Female participants and those with high scores in the MMSE and SPPB had decreased risk of death. This study confirmed the protective effect of overweight and obesity on mortality seen in this population at a younger age, which might have implications when treating older adults with overweight and obesity.

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.

scholarly journals Physical activity modifies the risk of atrial fibrillation in obese individuals: The HUNT3 study

2018 ◽  
Vol 25 (15) ◽  
pp. 1646-1652 ◽  
Author(s):  
Lars E Garnvik ◽  
Vegard Malmo ◽  
Imre Janszky ◽  
Ulrik Wisløff ◽  
Jan P Loennechen ◽  
...  
Keyword(s):  
Physical Activity ◽  
Atrial Fibrillation ◽  
Body Mass Index ◽  
Confidence Interval ◽  
Body Mass ◽  
High Body Mass Index ◽  
Overweight And Obesity ◽  
Hazard Ratio ◽  
Increased Risk

Background Atrial fibrillation is the most common heart rhythm disorder, and high body mass index is a well-established risk factor for atrial fibrillation. The objective of this study was to examine the associations of physical activity and body mass index and risk of atrial fibrillation, and the modifying role of physical activity on the association between body mass index and atrial fibrillation. Design The design was a prospective cohort study. Methods This study followed 43,602 men and women from the HUNT3 study in 2006–2008 until first atrial fibrillation diagnosis or end of follow-up in 2015. Atrial fibrillation diagnoses were collected from hospital registers and validated by medical doctors. Cox proportional hazard regression analysis was performed to assess the association between physical activity, body mass index and atrial fibrillation. Results During a mean follow-up of 8.1 years (352,770 person-years), 1459 cases of atrial fibrillation were detected (4.1 events per 1000 person-years). Increasing levels of physical activity were associated with gradually lower risk of atrial fibrillation ( p trend 0.069). Overweight and obesity were associated with an 18% (hazard ratio 1.18, 95% confidence interval 1.03–1.35) and 59% (hazard ratio 1.59, 95% confidence interval 1.37–1.84) increased risk of atrial fibrillation, respectively. High levels of physical activity attenuated some of the higher atrial fibrillation risk in obese individuals (hazard ratio 1.53, 95% confidence interval 1.03–2.28 in active and 1.96, 95% confidence interval 1.44–2.67 in inactive) compared to normal weight active individuals. Conclusion Overweight and obesity were associated with increased risk of atrial fibrillation. Physical activity offsets some, but not all, atrial fibrillation risk associated with obesity.

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

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 The study of correlation between Body Mass Index and glycemic control-HbA1c in diabetes type 2 patients

2019 ◽  
Vol 6 (6) ◽  
pp. 1788
Author(s):  
Rakesh K. Sisodia ◽  
Mahendra Chouhan
Keyword(s):  
Body Mass Index ◽  
Glycaemic Control ◽  
Body Mass ◽  
Normal Weight ◽  
Diabetic Patients ◽  
Poor Glycaemic Control ◽  
Risk Of Death ◽  
Increased Risk ◽  
Type 2 Diabetic

Background: Obesity has major adverse effects on health. Obesity is associated with an increase in mortality, with a 50-100% increased risk of death from all causes compared to normal-weight individuals, mostly due to cardiovascular causes. The aim of this study was to correlate Body Mass Index (BMI) and glycaemic control (HbA1c) in type 2 Diabetic patients.Methods: In this study 100 patients of type 2 diabetic were subjected to detailed history, clinical examination, BMI, HbA1c and routine biochemical investigations.Results: Out of 100 diabetic patients included in this study 62 of them were male and 38 were female. Among 100 patients. Majority of patients were overweight (BMI 25-29.9) which is account to about 58 of total cases, 30 patients were normal BMI and 12 patients were obese. Statistical analysis a positive correlation found between BMI and poor glycaemic control (HbA1c), which is significant.Conclusions: From this study it was concluded that obesity (BMI) is associated with poor glycaemic control.

scholarly journals Does Body Mass Index Affect Mortality in Coronary Surgery?

2016 ◽  
Vol 10 (1) ◽  
pp. 240-245 ◽  
Author(s):  
Aristotle D. Protopapas
Keyword(s):  
Body Mass Index ◽  
Morbid Obesity ◽  
Body Mass ◽  
Artery Bypass ◽  
Normal Weight ◽  
The Body ◽  
Morbidly Obese ◽  
Coronary Surgery ◽  
Crude Mortality ◽  
Underweight Patients

Introduction: The Body Mass Index (BMI) quantifies nutritional status and classifies humans as underweight, of normal weight, overweight, mildly obese, moderately obese or morbidly obese. Obesity is the excessive accumulation of fat, defined as BMI higher than 30 kg/m2. Obesity is widely accepted to complicate anaesthesia and surgery, being a risk factor for mediastinitis after coronary artery bypass grafting (CABG). We sought the evidence on operative mortality of CABG between standard BMI groups. Materials and Methodology: A simple literature review of papers presenting the mortality of CABG by BMI group: Underweight (BMI ≤ 18.49 kg/m2), normal weight (BMI 18.5–24.9 kg/m2), overweight (BMI 25.0–29.9 kg/m2), mild obesity (BMI 30.0–34.9 kg/m2), moderate obesity (BMI 35.0–39.9 kg/m2), or morbid obesity (BMI ≥ 40.0 kg/m2). Results: We identified 18 relevant studies with 1,027,711 patients in total. Their variability in size of samples and choice of BMI groups precluded us from attempting inferential statistics. The overall cumulative mortality was 2.7%. Underweight patients had by far the highest mortality (6.6%). Overweight patients had the lowest group mortality (2.1%). The group mortality for morbidly obese patients was 3.44%. Discussion: Patients with extreme BMI’s undergoing CABG (underweight ones more than morbidly obese) suffer increased crude mortality. This simple observation indicates that under nutrition and morbid obesity need be further explored as risk factors for coronary surgery.

scholarly journals Body Mass Index and Frailty Among Older Mexican Americans: Findings From an 18-year of Follow-up

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 820-820
Author(s):  
Megan Rutherford ◽  
Brian Downer ◽  
Chih-Ying Li ◽  
Soham Al Snih
Keyword(s):  
Body Mass Index ◽  
Depressive Symptoms ◽  
Body Mass ◽  
Mexican Americans ◽  
Mexican American ◽  
Normal Weight ◽  
Healthy Weight ◽  
Weight Category ◽  
Over Time

Abstract The objective of this study was to examine body mass index (BMI) as predictor of frailty among non-frail Mexican American older adults at baseline. Data are from an 18-year prospective cohort of 1,647 non-institutionalized Mexican American aged ≥ 67 years from the Hispanic Established Population for the Epidemiologic Study of the Elderly (1995/1996-2012/13). BMI (Kg/m2) was grouped according to the National Institutes of Health obesity standards (&lt;18.5=underweight, 18.5–24.9=normal weight, 25.0–29.9=overweight, 30.0–34.9=obesity category I and ≥ 35=obesity category II and extreme obesity). Frailty was defined as meeting three or more of the following: unintentional weight loss of &gt;10 pounds, weakness, self-reported exhaustion, low physical activity, and slow walking speed. Covariates included socio-demographics, comorbidities, cognitive function, depressive symptoms, and limitations in activities of daily living (ADL). General Estimating Equations were performed to estimate the odds ratio (OR) and 95% confidence interval (CI) of frailty as a function of BMI categories. All variables were analyzed as time varying except for gender and education. Participants in the underweight or obesity type II / morbidity obesity category had increased OR of frailty over time than those in the normal weight category (2.68, 95% CI=1.46-4.9 vs.1.55, 95% CI=1.02-2.35, respectively) after controlling for all covariates. Those who reported arthritis, hip fracture, depressive symptoms, or ADL disability had increased odds of frailty over time. This study showed a U-shaped relationship between BMI and frailty over an 18-year period of follow-up which has implications for maintaining a healthy weight to prevent frailty in this population.

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.

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