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Hybrid Health IT and Telehealth–Delivered Behavioral Weight Loss Services for Primary Care Patients With Cardiovascular Risk Factors: Intervention Component Design and Pragmatic Randomized Feasibility Trial

Hybrid Health IT and Telehealth–Delivered Behavioral Weight Loss Services for Primary Care Patients With Cardiovascular Risk Factors: Intervention Component Design and Pragmatic Randomized Feasibility Trial

After a single outbound My Chart message was sent to encourage a weight loss goal by 426 overweight or obese adults with cardiovascular risk factors, 315 (74%) opened the message, and 80 (25%) of those who opened it affirmed interest in receiving support services to lose weight.

Ronald T Ackermann, Kenzie A Cameron, David T Liss, Nancy Dolan, Cassandra Aikman, Amy R Carson, Sterling A Harris, Kathryn Doyle, Andrew J Cooper, Brian Hitsman

JMIR Mhealth Uhealth 2025;13:e58722


Effect of Minimal Individual or Group Enhancement in an eHealth Program on Mental Health, Health Behavior, and Work Ability in Employees With Obesity: Randomized Controlled Trial

Effect of Minimal Individual or Group Enhancement in an eHealth Program on Mental Health, Health Behavior, and Work Ability in Employees With Obesity: Randomized Controlled Trial

Reference 14: Cognitive behavioral therapy to aid weight loss in obese patients: current perspectives Reference 15: Cognitive-behavioral therapy, behavioral weight loss, and sequential treatment for obese Reference 17: Mindfulness-based interventions for adults who are overweight or obese: a meta-analysis Results from the Swedish obese subjects (SOS) study Reference 44: The assessment of binge eating severity among obese personsobese

Siniriikka A Männistö, Joona Muotka, Laura-Unnukka Suojanen, Raimo Lappalainen, Kirsi H Pietiläinen, Riitta Korpela

JMIR Ment Health 2025;12:e66518


High-Intensity Interval Training for Individuals With Isolated Impaired Fasting Glucose: Protocol for a Proof-of-Concept Randomized Controlled Trial

High-Intensity Interval Training for Individuals With Isolated Impaired Fasting Glucose: Protocol for a Proof-of-Concept Randomized Controlled Trial

This is a “proof-of-concept” 1:1 parallel-group RCT involving 34 physically inactive individuals aged 35-65 years who are overweight or obese and have i-IFG. Figure 2 presents the study’s CONSORT diagram. The Georgia Clinical Research Center (GCRC) at Emory University Hospital will serve as the site for participant recruitment and conducting study procedures. A highly trained and experienced study coordinator will recruit participants through a comprehensive 3-step screening procedure.

Sathish Thirunavukkarasu, Thomas R Ziegler, Mary Beth Weber, Lisa Staimez, Felipe Lobelo, Mindy L Millard-Stafford, Michael D Schmidt, Aravind Venkatachalam, Ram Bajpai, Farah El Fil, Maria Prokou, Siya Kumar, Robyn J Tapp, Jonathan E Shaw, Francisco J Pasquel, Joe R Nocera

JMIR Res Protoc 2025;14:e59842


Mobile-Based Platform With a Low-Calorie Dietary Intervention Involving Prepackaged Food for Weight Loss for People With Overweight and Obesity in China: Half-Year Follow-Up Results of a Randomized Controlled Trial

Mobile-Based Platform With a Low-Calorie Dietary Intervention Involving Prepackaged Food for Weight Loss for People With Overweight and Obesity in China: Half-Year Follow-Up Results of a Randomized Controlled Trial

The effects of three weight management methods on body composition and serum lipids of overweight and obese for a low-calorie dietary intervention involving prepackaged food for weight loss in overweight and obese Reference 16: Effect of mobile-based lifestyle intervention on weight loss among the overweight and obese Validation study of multi-frequency bioelectrical impedance with dual-energy X-ray absorptiometry among obese replacement program on weight, body composition and cardiometabolic risk factors in overweight and obeseobese

Xi Wang, Suyuan Wang, Lingyu Zhong, Chenghui Zhang, Yanhong Guo, Mingxia Li, Li Zhao, Shuming Ji, Junjie Pan, Yunhong Wu

JMIR Mhealth Uhealth 2024;12:e47104


Exploring Public Emotions on Obesity During the COVID-19 Pandemic Using Sentiment Analysis and Topic Modeling: Cross-Sectional Study

Exploring Public Emotions on Obesity During the COVID-19 Pandemic Using Sentiment Analysis and Topic Modeling: Cross-Sectional Study

This woman was extremely morbidly obese and a proponent of “body positivity” and “fat acceptance.” She is now dead from obesity. She was literally killing herself on camera while being applauded. Fat acceptance is a murderous, suicidal ideology and should be called out as such. Fat acceptance is a death cult.

Jorge César Correia, Sarmad Shaharyar Ahmad, Ahmed Waqas, Hafsa Meraj, Zoltan Pataky

J Med Internet Res 2024;26:e52142


Effect of a Web-Based Nutritional and Physical Activity Intervention With Email Support (the EDDY Program) on Primary School Children’s BMI Z-Score During the COVID-19 Pandemic: Intervention Study

Effect of a Web-Based Nutritional and Physical Activity Intervention With Email Support (the EDDY Program) on Primary School Children’s BMI Z-Score During the COVID-19 Pandemic: Intervention Study

At baseline, n=8 (20%) children in the intervention group and n=4 (15%) children in the control group were classified as obese, with excessive BMI (≥90th percentile) for their age and sex. In the intervention group, 2 (1 female, 1 male) of 8 children with obesity were classified as extremely obese (≥99.5th percentile).

Alina Gansterer, Paula Moliterno, Rhoia Neidenbach, Caroline Ollerieth, Sarah Czernin, Juergen Scharhag, Kurt Widhalm

JMIR Pediatr Parent 2024;7:e50289


Social Determinants of Health Phenotypes and Cardiometabolic Condition Prevalence Among Patients in a Large Academic Health System: Latent Class Analysis

Social Determinants of Health Phenotypes and Cardiometabolic Condition Prevalence Among Patients in a Large Academic Health System: Latent Class Analysis

BMI was calculated using vital signs (height and weight); BMI ≥30 kg/m2 was considered obese. Hb A1c (for those with data available) was categorized as uncontrolled at ≥7.0 units. To account for multiple encounters, we used mean clinical values. Other cardiometabolic chronic conditions—hypertension, coronary artery disease, myocardial infarction, peripheral vascular disease, cardiomyopathy, and heart failure—were examined and defined using ICD-10 and SNOMED codes extracted from the EMR problem list.

Carrie R Howell, Li Zhang, Olivio J Clay, Gareth Dutton, Trudi Horton, Michael J Mugavero, Andrea L Cherrington

JMIR Public Health Surveill 2024;10:e53371