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Glucagon-Like Peptide-1 Receptor Agonists Combined With Personalized Digital Health Care for the Treatment of Metabolic Syndrome in Adults With Obesity: Retrospective Observational Study

obese

Hala Zakaria, Hadoun Jabri, Sheikha Alshehhi, Milena Caccelli, Joelle Debs, Yousef Said, Joudy Kattan, Noah Almarzooqi, Ali Hashemi, Ihsan Almarzooqi

Interact J Med Res 2025;14:e63079

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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

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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

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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

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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

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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

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Nutrition, Obesity, and Seborrheic Dermatitis: Systematic Review

obese

Emily Woolhiser, Noah Keime, Arya Patel, Isaac Weber, Madeline Adelman, Robert P Dellavalle

JMIR Dermatol 2024;7:e50143

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Use of Deep Neural Networks to Predict Obesity With Short Audio Recordings: Development and Usability Study

Future research should prioritize conducting a longitudinal cohort study to analyze voice changes in individuals transitioning from lean to obese phases. This will deepen our understanding of voice changes during obesity progression and enable the extraction of vocal characteristic features across different stages of obesity. Ultimately, such an approach may aid in developing causal links between obesity and vocal changes.

Jingyi Huang, Peiqi Guo, Sheng Zhang, Mengmeng Ji, Ruopeng An

JMIR AI 2024;3:e54885

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Behavioral Weight Loss Programs for Cancer Survivors Throughout Maryland: Protocol for a Pragmatic Trial and Participant Characteristics

It is estimated that 32.5% of cancer survivors are overweight or obese [7]. Scalable weight loss interventions are needed to help cancer survivors reduce their cardiometabolic risk, lower their risk of cancer recurrence, and improve their long-term health profile.

Gerald J Jerome, Lawrence J Appel, Linda Bunyard, Arlene T Dalcin, Nowella Durkin, Jeanne B Charleston, Norma F Kanarek, Michael A Carducci, Nae-Yuh Wang, Hsin-Chieh Yeh