A waist belt type simple device was designed to monitor the individuals who are obese and want to maintain their consumed calories and waist circumference changes. Relatively long term monitoring with this device could help them maintain their health conditions. This devised system is composed of calorie tracking and waist circumference module. This study suggests feasible and meaningful results. If users' data are collected largely with this developed system, we can reveal the relationship between obesity and daily life pattern.
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http://dx.doi.org/10.1109/IEMBS.2011.6090408 | DOI Listing |
PLoS One
January 2025
Specialist in Family and Community Medicine, Milladoiro Health Centre, Health Area of Santiago de Compostela, Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Spain.
Purpose: To determine the relationship between self-reported physical activity and the components of premorbid metabolic syndrome in patients treated in primary care according to sex.
Methods: Cross-sectional descriptive study conducted on a sample of 2,359 patients without cardiovascular disease or diabetes, included in the cohort of the IBERICAN study. Using ANOVA models and adjusting for age, economic status, employment situation, level of education, adherence to a Mediterranean diet, tobacco use and alcohol consumption, we estimated the association of the variables blood pressure, triglycerides, HDL cholesterol, blood glucose and waist circumference with the self-reported level of physical activity (sedentary, moderate, high, very high).
Clin Obes
January 2025
Orthopädische Klinik und Poliklinik, Rostock, Germany.
Pathologic values of body mass index (BMI), body weight, and waist circumference correlate with higher absolute and lower relative trunk strength. Whether waist-to-height ratio (WHtR) is appropriate for showing trunk strength differences in people with obesity and whether a continuous linear relationship exists between the increase in obesity and trunk strength is unknown. This retrospective cross-sectional study included 1174 subjects (1114 men and 60 women).
View Article and Find Full Text PDFJMIR Mhealth Uhealth
January 2025
Xiangya School of Nursing, Central South University, Changsha, China.
Background: Among people with abdominal obesity, women are more likely to develop diabetes than men. Mobile health (mHealth)-based technologies provide the flexibility and resource-saving opportunities to improve lifestyles in an individualized way. However, mHealth-based diabetes prevention programs tailored for busy mothers with abdominal obesity have not been reported yet.
View Article and Find Full Text PDFOrthod Craniofac Res
January 2025
Sleep Unit, Department of Stomatology, Faculty of Medicine and Dentistry, University of Valencia, Valencia, Spain.
Objectives: This non-randomised clinical study aimed to identify the phenotypic characteristics that distinguish responders from non-responders. Additionally, it sought to establish a predictive model for treatment response to obstructive sleep apnoea (OSA) using mandibular advancement devices (MAD), based on the analysed phenotypic characteristics.
Material And Methods: This study, registered under identifier NCT05596825, prospectively analysed MAD treatment over 6 years using two-piece adjustable appliances according to a standardised protocol.
Eur J Nutr
January 2025
Department of Public Health, Section for General Practice, University of Copenhagen, Copenhagen, Denmark.
Purpose: To examine the associations and substitutions of dietary sugars [extrinsic (free) or intrinsic (non-free)] as well as dietary starch and fiber intakes for indices of body fat and cardiometabolic health.
Methods: Dietary intake was assessed at multiple times using multi-day 24-hour recalls over 18-months for indices of body fat (body fat %, waist circumference, BMI, and weight change) (n = 1066) and at baseline and 12 months for cardiometabolic outcomes (LDL, HDL, HbA1c) (n = 736). Bayesian modeling was applied to analyze the probabilistic impact of dietary carbohydrate components using credible intervals for association and substitution analyses with repeated measures random effects modeling.
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