scholarly journals Prevalence and Determinants of Overweight and Obesity in Children and Adolescents from Migrant and Seasonal Farmworker Families in the United States—A Systematic Review and Qualitative Assessment

Nutrients ◽  
2017 ◽  
Vol 9 (3) ◽  
pp. 188 ◽  
Author(s):  
Yuen Lim ◽  
SuJin Song ◽  
Won Song
Keyword(s):  
United States ◽  
Systematic Review ◽  
Children And Adolescents ◽  
The United States ◽  
Overweight And Obesity ◽  
Qualitative Assessment ◽  
Obesity In Children

Obesity and its Impact on Health

2021 ◽  
pp. 485-487
Author(s):  
Veerabhadrappa G Mendagudli ◽  
Shivaleela S Sarawad
Keyword(s):  
United States ◽  
Body Mass Index ◽  
Children And Adolescents ◽  
Body Mass ◽  
The United States ◽  
Overweight And Obesity ◽  
The Body ◽  
Obese Children ◽  
Obese People ◽  
The World

Obesity has almost tripled globally since 1975. More than 1.9 billion people aged 18 and up were overweight in 2016. Over 650 million of them were obese. In 2016, 39% of adults aged 18 and up were overweight, with 13% being obese. Overweight and obesity kill more people than underweight in the majority of the world's population. In the year 2019, 38 million children under the age of 5 were overweight or obese. In 2016, over 340 million children and adolescents aged 5 to 19 years old were overweight or obese. Obesity can be avoided. Currently, India has over 135 million obese people. Until recently, the body mass index (BMI) was used to measure obesity. By 2020, there will be 158 million obese children around the world, rising to 206 million by 2025 and 254 million by 2030. In reality, India will have the most obese children after China, with 27,481,141 or 27 million, well ahead of the United States' 17 million.

scholarly journals Diagnostic performance of mid-upper arm circumference to identify overweight and obesity in children and adolescents: a protocol for a systematic review and meta-analysis

BMJ Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. e044624
Author(s):  
Binyam Girma Sisay ◽  
Hamid Yimam Hassen ◽  
Seifu Hagos Gebreyesus
Keyword(s):  
Systematic Review ◽  
Children And Adolescents ◽  
Diagnostic Performance ◽  
Meta Analysis ◽  
Grey Literature ◽  
Overweight And Obesity ◽  
Upper Arm ◽  
Arm Circumference ◽  
Mid Upper Arm Circumference ◽  
Obesity In Children

IntroductionMid-upper arm circumference (MUAC) has been suggested as an alternative screening tool to identify overweight and obesity in children and adolescents. Several studies have examined the diagnostic performance of MUAC to identify overweight and obesity in children and adolescents. However, the existing literature shows a considerable variability in measures of diagnostic performance and hence makes it difficult to direct clinical and public health practice. Therefore, this systematic review and meta-analysis aimed to synthesise evidence on the performance of MUAC to identify overweight and obesity in children and adolescents.Methods and analysisA systematic search of databases including PubMed, EMBASE, SCOPUS, Cochrane Database of Systematic Reviews, Cochrane CENTRAL, Web of Science, CINAHL and PsycINFO will be conducted. The search will cover all studies until 1 April 2021. Grey literature will also be retrieved from Google Scholar. Titles and abstracts will be screened by two independent reviewers. The Quality Assessment of Diagnostic Accuracy Studies 2 tool will be used to assess the risk of bias and clinical applicability of each study. To assess possible publication bias, we will use Deeks’ funnel plot. We will investigate the sources of heterogeneity by visual inspection of the paired forest plots and summary receiver operating characteristic plots. The pooled summary statistics for the area under the curve, sensitivities, specificities, likelihood ratios and diagnostic ORs with 95% CI will be reported.Ethics and disseminationThe underlying study is based on published articles thus does not require ethical approval. The findings of the systematic review and meta-analysis will be published in a peer-reviewed journal and disseminated in different scientific conferences and seminars.PROSPERO registration numberCRD42020183148.

scholarly journals Total dairy consumption in relation to overweight and obesity in children and adolescents: A systematic review and meta‐analysis

2021 ◽  
Author(s):  
Nancy Babio ◽  
Nerea Becerra‐Tomás ◽  
Stephanie K. Nishi ◽  
Leyre López‐González ◽  
Indira Paz‐Graniel ◽  
...  
Keyword(s):  
Systematic Review ◽  
Children And Adolescents ◽  
Meta Analysis ◽  
Overweight And Obesity ◽  
Dairy Consumption ◽  
Obesity In Children

Adverse family experiences and obesity in children and adolescents in the United States

2016 ◽  
Vol 90 ◽  
pp. 148-154 ◽  
Author(s):  
Brian A. Lynch ◽  
Amenah Agunwamba ◽  
Patrick M. Wilson ◽  
Seema Kumar ◽  
Robert M. Jacobson ◽  
...  
Keyword(s):  
United States ◽  
Children And Adolescents ◽  
The United States ◽  
Family Experiences ◽  
Obesity In Children

Leveraging Technology in Detection of Alzheimer’s Disease: A Systematic Review (Preprint)

2019 ◽  
Author(s):  
Clemens Kruse ◽  
Britney Larson ◽  
Reagan Wilkinson ◽  
Roger Samson ◽  
Taylor Castillo
Keyword(s):  
Magnetic Resonance Imaging ◽  
United States ◽  
Systematic Review ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
The United States ◽  
Diagnostic Process ◽  
Resonance Imaging ◽  
Common Cause ◽  
Key Terms

BACKGROUND Incidence of AD continues to increase, making it the most common cause of dementia and the sixth-leading cause of death in the United States. 2018 numbers are expected to double by 2030. OBJECTIVE We examined the benefits of utilizing technology to identify and detect Alzheimer’s disease in the diagnostic process. METHODS We searched PubMed and CINAHL using key terms and filters to identify 30 articles for review. We analyzed these articles and reported them in accordance with the PRISMA guidelines. RESULTS We identified 11 technologies used in the detection of Alzheimer’s disease: 66% of which used some form of MIR. Functional, structural, and 7T magnetic resonance imaging were all used with structural being the most prevalent. CONCLUSIONS MRI is the best form of current technology being used in the detection of Alzheimer’s disease. MRI is a noninvasive approach that provides highly accurate results in the diagnostic process of Alzheimer’s disease.

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