Objective: The increasing prevalence of obesity requires particularly primary care providers to take action. The aim of this study was to analyze general practitioners (GPs) encounters with overweight and obese patients in primary care to test the hypothesis that patients with a BMI ≥ 30 kg/m² would have longer consultations focusing on lifestyle-related issues like nutrition and physical activity than those with a BMI < 30 kg/m².
Design: Cross sectional comparison of audiotaped encounters of patients with a BMI ≥ 30 kg/m² and those with a BMI < 30 kg/m².
Setting: Twelve GP surgeries in Berlin, Germany.
Participants: Fifty patients who agreed to have preventive check-up encounters audiotaped.
Main Outcome Measures: Based on the Roter Interaction
Analysis: System (RIAS) we assessed duration of encounter and the prevalence of GP statements regarding cardiovascular risks, nutrition and physical activity.
Results: An increased BMI was found to be a predictor for the length of encounters (P = 0.01), whereas the content of talks was mainly determined by the individual of GP and sex of the GP. Statements regarding cardiovascular risks were most frequent, followed by those regarding nutrition and physical activity. In this study the assessed physiological parameters were not associated with the specific contents of preventive encounters like nutrition or physical activity (P > 0.05).
Conclusions: Our results indicate that GPs rarely use the check-up program to conduct lifestyle consultations with obese patients. Barriers to lifestyle counseling and possible solutions are discussed with a view to promoting individualized and target management of overweight patients.
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http://dx.doi.org/10.1093/intqhc/mzq060 | DOI Listing |
Am J Gastroenterol
December 2024
Department of Epidemiology/Department of Maternal, Child and Adolescent Health, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.
Introduction: The clinical utility of metabolic dysfunction-associated steatotic liver disease (MASLD) in predicting subsequent subclinical cardiovascular damages in pediatric population remains poorly understood.
Methods: Data on 1,161 Chinese children aged 10-15 years were used to assess the longitudinal associations of MASLD with subsequent subclinical cardiovascular damages.
Results: Compared with relatively healthy children, children with MASLD had abnormal vascular and cardiac structures, along with reduced cardiac diastolic function at the 2-year follow-up.
Cutis
November 2024
Department of Dermatology, Ministry of Health, Ankara Training and Research Hospital, Turkey.
Current evidence indicates that obesity may initiate psoriasis or worsen existing disease. Various factors contribute to the development of obesity, including eating disorders (EDs). The aim of this study was to screen for and identify factors associated with EDs in patients with psoriasis and their impact on the development of obesity in this population.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Nutrition and Food Technology, Jashore University of Science and Technology, Jashore, Bangladesh.
The objective of this study was the develop of fortified cookies enriched with oats flour and bitter gourd powder and monitoring the effects of these enrichments on the physicochemical, antioxidant, antimicrobial, and sensory attributes. This study was subjected to four treatments: control (0% oats flour and bitter gourd powder), T1 (10% oats flour), T2 (3% bitter gourd powder), and T3 (7% oats flour and 3% bitter gourd powder). Various physical properties of the cookies, including weight, thickness, diameter, spread ratio, baking loss, pH, and color values (L*, a*, and b*), were measured.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Vascular Surgery, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Background: The impact of moderate-to-vigorous physical activity (MVPA) on all-cause mortality in type 2 diabetes (T2D) patients with severe abdominal aortic calcification (SAAC) remains unclear.
Methods: We analyzed data from the National Health and Nutrition Examination Survey (NHANES) 2013-2014, including T2D patients aged 40 years and older. AAC was assessed using the Kauppila scoring system, with SAAC defined as a score >6.
PLoS One
January 2025
Institute for Physical Activity and Nutrition, Deakin University, Melbourne, VIC, Australia.
Heart disease remains a leading cause of mortality and morbidity worldwide, necessitating the development of accurate and reliable predictive models to facilitate early detection and intervention. While state of the art work has focused on various machine learning approaches for predicting heart disease, but they could not able to achieve remarkable accuracy. In response to this need, we applied nine machine learning algorithms XGBoost, logistic regression, decision tree, random forest, k-nearest neighbors (KNN), support vector machine (SVM), gaussian naïve bayes (NB gaussian), adaptive boosting, and linear regression to predict heart disease based on a range of physiological indicators.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!