Overweight and obesity affects 1 in 3 US children and adolescents. Clinical recommendations have largely focused on screening guidelines and counseling strategies. However, the physical examination of the child or adolescent with obesity can provide the clinician with additional information to guide management decisions. This expert-based review focuses on physical examination findings specific to children and adolescents with obesity. For each physical examination element, the authors define the finding and its prevalence among pediatric patients with obesity, discuss the importance and relevance of the finding, describe known techniques to assess severity, and review evidence regarding the need for additional evaluation. The recommendations presented represent a comprehensive review of current evidence as well as expert opinion. The goal of this review is to highlight the importance of conducting a targeted physical examination during pediatric weight management visits.
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http://dx.doi.org/10.1542/peds.2015-1766 | DOI Listing |
Trop Anim Health Prod
January 2025
Laboratory of Small Ruminant Genetics, Breeding and Reproduction, Huazhong Agricultural University, Wuhan, 430070, People's Republic of China.
Growth traits are one of the focuses of sheep breeding, and growth curve is an effective method to describe growth traits. The body weight of Yiling sheep at 0, 120, 180, 360 and 540 days of age were fitted with five common nonlinear growth models: Logistic, Gompertz, Von Bertalanffy, Brody and Negative exponential, and the growth models were evaluated by goodness of fit standard. The results showed that the Von Bertalanffy model was suitable for characterizing the growth of Yiling sheep.
View Article and Find Full Text PDFTrop Anim Health Prod
January 2025
Livestock Production and Management Section, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly, Uttar Pradesh, 243 122, India.
Dry matter intake (DMI) determination is essential for effective management of meat goats, especially in optimizing feed utilization and production efficiency. Unfortunately, farmers often face challenges in accurately predicting DMI which leads to wastage of feed and an increase in the cost of production. This investigation aimed to predict DMI in Black Bengal goats by using body weight (BW), body condition score (BCS), average daily gain (ADG), and metabolic body weight (MBW) by applying an artificial neural network (ANN) model.
View Article and Find Full Text PDFSouth Med J
February 2025
From the Center for Value-Based Care Research, Cleveland Clinic.
Objectives: Understanding the epidemiology of treatment for patients with co-occurring depression and obesity can inform care quality. The objective of the study was to identify how patients with obesity and newly diagnosed depression are treated and whether treatment is associated with body mass index change.
Methods: This cohort study included adults with obesity and newly diagnosed depression who had ≥2 primary care visits between 2015 and 2020 at a large integrated health system.
JMIR Form Res
January 2025
Division of Human Nutrition and Health, Wageningen University & Research, Stippeneng 4, PO Box 17, Wageningen, 6700 AA, Netherlands.
Background: The lifestyle intervention ProMuscle, which combines resistance exercise and an increased protein intake, was effective in improving muscle strength, muscle mass, and physical functioning in older adults. However, due to a growing shortage of health care professionals, the rapidly growing aging population cannot be personally guided in the future. Therefore, Uni2Move, a scalable web-based variant of ProMuscle, was designed to reach larger groups of older adults without putting additional burden on health care professionals.
View Article and Find Full Text PDFPurpose: To assess the association between periodontal health and pregnancy or delivery complications in type 1 diabetic (TIDM) and non-diabetic pregnant women.
Materials And Methods: 15 TIDM and 15 non-diabetic primiparous women were enrolled in the prospective case-control study. We compared periodontal status, levels of glycosylated hemoglobin (HbA1c), gestational week of birth, birth weight of a newborn and pregnancy or delivery complications between the groups.
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