Aims: Weight cycling is defined as cyclical loss and gain of weight and recent studies suggest deleterious effects of weight cycling on cardiometabolic health. We aimed to analyze the risk for diabetes development in association with weight cycling over 4 years of follow-up.
Methods: A retrospective study performed in 4,818 non-diabetic participants (mean age 43 years, 78.3% men) in a health screening program in whom serial health examinations were performed in 5 consecutive years from 2010 to 2014. Average successive variability of weight (ASVW) was defined by the amount of body weight change in absolute value between the successive years over 5 years summed and divided by four. The subjects were divided into two groups according to body mass index (BMI), normal weight (<23 kg/m) and overweight (≥23 kg/m).
Results: Over 4 years, 3.2% developed diabetes. When the subjects were divided into 3 groups according to tertile groups of ASVW, those in the highest tertile showed significantly increased risk for diabetes development compared to those with the lowest tertile {odds ratio (OR) 1.860; 95% CI 1.130-3.063}. When similar analyses were performed according to the 4 groups divided by baseline body weight and ASVW over four years, those who were more than overweight at baseline with high ASVW showed significantly increased risk of diabetes development compared to those had normal weight and low ASVW (OR 2.266; 95% 1.123-4.572). When the subjects were divided into six group according to weight change and ASVW, those with increased weight over 4 years and high ASVW showed the highest risk for diabetes development among the groups compared to those with stable weight and low ASVW over four years (OR 3.660; 95% CI 1.402-9.553).
Conclusions: Those with high ASVW showed significantly increased risk for diabetes development over four years compared with those who had low ASVW. Weight cycling was significantly associated with increased risk for diabetes.
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http://dx.doi.org/10.1016/j.diabres.2018.03.018 | DOI Listing |
J Int Soc Sports Nutr
December 2025
Utah State University, Kinesiology & Health Science, Logan, UT, USA.
Background: The body composition of National Collegiate Athletic Association (NCAA) athletes is well documented but no such data exist for university club sports athletes. Additionally, the majority of norms for NCAA athletes were created from individual methods requiring assumptions.
Objective: This study used a four-component (4C) model to measure the body composition of university club sports athletes.
Sci Total Environ
December 2024
Guangdong Basic Research Center of Excellence for Ecological Security and Green Development, Key Laboratory for City Cluster Environmental Safety and Green Development of the Ministry of Education, School of Ecology, Environmental and Resources, Guangdong University of Technology, Guangzhou 510006, China. Electronic address:
Boron (B) deficiency affects over 132 crop species globally, making effective B supplement crucial for enhancing agricultural yield and health. This study explores an innovative application of nanoscale boron nitride (nano-BN) as a sustainable solution for addressing B deficiency in crops. Cucumber seedlings were treated with different contents of nano-BN under greenhouse conditions and both B and N ionic treatments were set as comparisons.
View Article and Find Full Text PDFSci Total Environ
December 2024
College of Natural Resources and Environment, Northwest A&F University, Yangling 712100, PR China. Electronic address:
The extensive application of compost to enhance soil quality highlights the crucial role of dissolved organic matter (DOM) derived from compost in both terrestrial and aquatic ecosystems, influencing carbon cycling and the fate of contaminants. However, the photochemical behavior of compost-derived DOM (DOM) remains poorly understood. In this study, we investigated the photochemical transformation and photoactivity of DOM derived from typical composts produced from cow manure (CDOM) and pig manure (PDOM).
View Article and Find Full Text PDFNetwork
December 2024
Department of Biomedical Engineering, Sri Sivasubramaniya Nadar College of Engineering, Chennai, India.
Human Activity Recognition (HAR) systems are designed to continuously monitor human behaviour, mainly in the areas of entertainment and surveillance in intelligent home environments. In this manuscript, Human Activity Recognition utilizing optimized Attention Induced Multi head Convolutional Neural Network with Mobile Net V1 from Mobile Health Data (HAR-AMCNN-MNV1) is proposed. The input data is collected through MHEALTH and UCI HAR datasets.
View Article and Find Full Text PDFInt J Mol Sci
December 2024
Department of Animal Science and Technology, National Taiwan University, Taipei 10672, Taiwan.
Weight regain within one year after weight loss is frequently observed and is referred to as yo-yo dieting or weight cycling. In this study, we explore the effects of yo-yo dieting on the liver, adipose tissue, and muscle characteristics of male zebrafish. Four-month-old AB wild-type male zebrafish were randomly assigned to three groups: high-calorie intake (H, seven meals per day), low-calorie intake (L, two meals per day), and yo-yo diet (the low- and high-calorie alternation switched every two weeks) groups.
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