A Retrospective Analysis of the Short-Term Effects of Olanzapine and Quetiapine on Weight and Body Mass Index in Children and Adolescents

We evaluated the association between short-term change in body mass index (BMI) and breast density during a 1 year weight-loss intervention (Manchester, UK). We included 65 premenopausal women (35–45 years, ≥7 kg adult weight gain, family history of breast cancer). BMI and breast density (semi-automated area-based, automated volume-based) were measured at baseline, 1 year, and 2 years after study entry (1 year post intervention). Cross-sectional (between-women) and short-term change (within-women) associations between BMI and breast density were measured using repeated-measures correlation coefficients and multivariable linear mixed models. BMI was positively correlated with dense volume between-women (r = 0.41, 95%CI: 0.17, 0.61), but less so within-women (r = 0.08, 95%CI: −0.16, 0.28). There was little association with dense area (between-women r = −0.12, 95%CI: −0.38, 0.16; within-women r = 0.01, 95%CI: −0.24, 0.25). BMI and breast fat were positively correlated (volume: between r = 0.77, 95%CI: 0.69, 0.84, within r = 0.58, 95%CI: 0.36, 0.75; area: between r = 0.74, 95%CI: 0.63, 0.82, within r = 0.45, 95%CI: 0.23, 0.63). Multivariable models reported similar associations. Exploratory analysis suggested associations between BMI gain from 20 years and density measures (standard deviation change per +5 kg/m2 BMI: dense area: +0.61 (95%CI: 0.12, 1.09); fat volume: −0.31 (95%CI: −0.62, 0.00)). Short-term BMI change is likely to be positively associated with breast fat, but we found little association with dense tissue, although power was limited by small sample size.

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Short-Term Outcomes Following Removal of Infected Hernia Mesh

The American Surgeon ◽

10.1177/00031348211024189 ◽

2021 ◽

pp. 000313482110241

Author(s):

Christine Tung ◽

Junko Ozao-Choy ◽

Dennis Y. Kim ◽

Christian de Virgilio ◽

Ashkan Moazzez

Keyword(s):

Risk Factors ◽

Body Mass Index ◽

Logistic Regression ◽

Body Mass ◽

Smoking History ◽

Multivariate Logistic Regression ◽

Short Term ◽

Mesh Removal ◽

Mesh Placement ◽

Infected Mesh

There are limited studies regarding outcomes of replacing an infected mesh with another mesh. We reviewed short-term outcomes following infected mesh removal and whether placement of new mesh is associated with worse outcomes. Patients who underwent hernia repair with infected mesh removal were identified from 2005 to 2018 American College of Surgeons-National Surgical Quality Improvement Program database. They were divided into new mesh (Mesh+) or no mesh (Mesh-) groups. Bivariate and multivariate logistic regression analyses were used to compare morbidity between the two groups and to identify associated risk factors. Of 1660 patients, 49.3% received new mesh, with higher morbidity in the Mesh+ (35.9% vs. 30.3%; P = .016), but without higher rates of surgical site infection (SSI) (21.3% vs. 19.7%; P = .465). Mesh+ had higher rates of acute kidney injury (1.3% vs. .4%; P = .028), UTI (3.1% vs. 1.3%, P = .014), ventilator dependence (4.9% vs. 2.4%; P = .006), and longer LOS (8.6 vs. 7 days, P < .001). Multivariate logistic regression showed new mesh placement (OR: 1.41; 95% CI: 1.07-1.85; P = .014), body mass index (OR: 1.02; 95% CI: 1.00-1.03; P = .022), and smoking (OR: 1.43; 95% CI: 1.05-1.95; P = .025) as risk factors independently associated with increased morbidity. New mesh placement at time of infected mesh removal is associated with increased morbidity but not with SSI. Body mass index and smoking history continue to contribute to postoperative morbidity during subsequent operations for complications.

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Examination of Sleep and Obesity in Children and Adolescents in the United States

American Journal of Health Promotion ◽

10.1177/08901171211029189 ◽

2021 ◽

pp. 089011712110291

Author(s):

Puneet Kaur Chehal ◽

Livvy Shafer ◽

Solveig Argeseanu Cunningham

Keyword(s):

Body Mass Index ◽

Children And Adolescents ◽

Sleep Duration ◽

Body Mass ◽

The United States ◽

Weight Category ◽

Lower Odds ◽

Logistic Regression Models ◽

Child Height ◽

Nationally Representative

Purpose: This study contributes to the growing literature on the association between sleep and obesity by examining the associations between hours of sleep, consistency of bedtime, and obesity among children in the US. Design: Analysis of a nationally representative sample of non-institutionalized children from the 2016-17 National Survey of Children’s Health. Setting: US, national. Subjects: Children ages 10-17 years (n = 34,640) Measures: Parent reported weeknight average hours of sleep and consistency of bedtime. Body mass index classified as underweight, normal, overweight or obesity using parent-reported child height and weight information, classified using CDC BMI-for-Age Growth Charts. Analysis: Multivariate logistic regression models were used to estimate associations between measures of sleep and body mass index weight category adjusting for individual, household and neighborhood characteristics. Results: An additional hour of sleep was associated with 10.8% lower odds of obesity, net of consistency in bedtime. After controlling for sleep duration, children who usually went to bed at the same time on weeknights had lower odds of obesity (24.8%) relative to children who always went to bed at the same time. Conclusion: Sleep duration is predictive of lower odds of obesity in US children and adolescents. Some variability in weeknight bedtime is associated with lower odds of obesity, though there were no additional benefits to extensive variability in bedtime.

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Cross-sectional associations between objectively measured sleep characteristics and body mass index in European children and adolescents

Sleep Medicine ◽

10.1016/j.sleep.2021.05.004 ◽

2021 ◽

Author(s):

Barbara F. Thumann ◽

Christoph Buck ◽

Stefaan De Henauw ◽

Charalambos Hadjigeorgiou ◽

Antje Hebestreit ◽

...

Keyword(s):

Body Mass Index ◽

Children And Adolescents ◽

Body Mass ◽

Cross Sectional ◽

Objectively Measured

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Clinical Study of Postoperative Bleeding after Tonsillectomy in 497 Cases

International Journal of Practical Otolaryngology ◽

10.1055/s-0041-1723787 ◽

2021 ◽

Vol 4 (01) ◽

pp. e17-e20

Author(s):

Takeshi Tanaka ◽

Kenji Ishii ◽

Kyoko Matsumoto ◽

Koushirou Miura ◽

Ayako Kihara ◽

...

Keyword(s):

Risk Factors ◽

Body Mass Index ◽

Clinical Study ◽

General Anesthesia ◽

Retrospective Analysis ◽

Body Mass ◽

Smoking Habit ◽

Postoperative Bleeding ◽

Operation Time ◽

History Of

AbstractWe conducted a retrospective analysis of 497 patients who underwent tonsillectomy at Kamio Memorial Hospital from September 2015 to August 2018. A total of 35 cases (7.0%) developed postoperative bleeding and three cases (0.6%) needed a second operation under general anesthesia to stop the bleeding. Postoperative bleeding most frequently occurred between 24 hours and 6 days after the operation. The incidence of postoperative bleeding was significantly higher in males and in patients aged 20 to 39 years old. The operation time, body mass index, smoking habit, and history of hypertension were not identified as clinical risk factors for bleeding after tonsillectomy in this study.

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Prevalence of pre-diabetes/type 2 diabetes among adolescents (10–19 years) and its association with different measures of overweight/obesity in India: a gendered perspective

BMC Endocrine Disorders ◽

10.1186/s12902-021-00802-w ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Pradeep Kumar ◽

Shobhit Srivastava ◽

Prem Shankar Mishra ◽

E. T. Krishnan Mooss

Keyword(s):

Body Mass Index ◽

Children And Adolescents ◽

Body Mass ◽

Adolescent Girls ◽

National Level ◽

Skinfold Thickness ◽

Health Concern ◽

Adolescent Boys ◽

Nutrition Survey ◽

Subscapular Skinfold Thickness

Abstract Background The International Diabetes Federation (IDF) estimated that 1.1 million children and adolescents aged 14–19 years are living with diabetes. Diabetes is a chronic, progressive disease characterized by elevated levels of blood glucose. It is also recognized as a complex disease that affects people of different ages due to different causes. The present study aims to estimate the prevalence of pre-diabetes/diabetes at the national level. Additionally, the respective study determines the factors associated with pre-diabetes/diabetes conditions among adolescents at the national level. Methods The data for this study was carried out from the Comprehensive National Nutrition Survey (CNNS), the first-ever nationally representative nutrition survey of children and adolescents in India. The study used a sample size of 17,865 adolescent boys and 17,965 adolescent girls for the analysis. Descriptive statistics, bivariate analysis, and logistic regression analysis were done to carve out the results. Results The prevalence of pre-diabetes/diabetes was 12.3% and 8.4% among adolescent boys and girls in India, respectively. Body mass index and Subscapular skinfold thickness were the two most important predictors of pre-diabetes/diabetes among adolescents. Further, physical activities show a negative association with pre-diabetes/diabetes. Moreover, interaction models in the present study clearly reveal the fact that adolescent girls were less likely to suffer from pre-diabetes/diabetes than adolescent boys. Additionally, it was found that the prevalence of pre-diabetes/diabetes was high among adolescent girls from lower socio-economic strata. Conclusion The high prevalence of pre-diabetes and diabetes among adolescents portrayed serious public health concern in India. As body mass index and Subscapular skinfold thickness were positively associated with pre-diabetes/diabetes conditions among adolescents. Therefore, effective approaches are needed to be taken to tackle these pre-diabetes/diabetes conditions among adolescents and especially among adolescent boys.

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