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Prevalence of Chronic Back Pain and Associated Factors in Children and Adolescents: Secondary Analysis of the 2001–2019 Health Behavior in School-Aged Children Study

Prevalence of Chronic Back Pain and Associated Factors in Children and Adolescents: Secondary Analysis of the 2001–2019 Health Behavior in School-Aged Children Study

It should be mentioned, in the 2017‐2019 wave, BMI classification adhered to the standards outlined by the International Obesity Task Force [20] (1=thinness, 2=normal weight, 3=overweight, 4=obesity). For further analysis, excess weight (ie, overweight or obesity) was determined as follows: 0=no excess weight (ie, thinness or normal weight); 1=excess weight (ie, overweight or obesity).

Camila Miño, Héctor Gutiérrez-Espinoza, Jorge Olivares-Arancibia, Rodrigo Yáñez-Sepúlveda, Daniel Duclos-Bastías, Felipe Araya-Quintanilla, Lee Smith, José Francisco López-Gil

JMIR Public Health Surveill 2025;11:e67960

“Digital Clinicians” Performing Obesity Medication Self-Injection Education: Feasibility Randomized Controlled Trial

“Digital Clinicians” Performing Obesity Medication Self-Injection Education: Feasibility Randomized Controlled Trial

Obesity, an “abnormal or excessive accumulation of fat that poses a health risk” [1], is a primary contributor to global health challenges [2]. Reports suggest its involvement in up to 80% of cases of type 2 diabetes and 43% of cardiovascular incidents [3] while significantly contributing to depression and anxiety [4]. Recent breakthroughs in bariatric medicine have elevated the role of injectable therapy, namely glucagon-like peptide-1 agonist agents such as semaglutide.

Sean Coleman, Caitríona Lynch, Hemendra Worlikar, Emily Kelly, Kate Loveys, Andrew J Simpkin, Jane C Walsh, Elizabeth Broadbent, Francis M Finucane, Derek O' Keeffe

JMIR Diabetes 2025;10:e63503

Feasibility and Acceptability of a Psychological Intervention for Internalized Health-Related Stigma Among Adults With Chronic Health Conditions: Preliminary Investigation

Feasibility and Acceptability of a Psychological Intervention for Internalized Health-Related Stigma Among Adults With Chronic Health Conditions: Preliminary Investigation

For example, adults with obesity, type 1 or type 2 diabetes, skin diseases, HIV, chronic pain, and cancers face pervasive stigma for their health conditions [1,4-6]. In addition to experiencing stigma from other people, negative attitudes can be internalized by adults with these health conditions, contributing to self-blame and self-devaluation (ie, self-stigma) [7,8].

Rebecca L Pearl, Danielle Saunders, Laurie C Groshon, Yulin Li, Abigail Shonrock, Rebecca M Puhl, Kimberly A Driscoll, Preeti Manavalan, Joel M Gelfand, Thomas A Wadden, Sarah C Westen, Marjorie Montanez-Wiscovich, Xiang-Yang Lou

JMIR Form Res 2025;9:e69548

Effects of Therapeutic Ultrasound and Aussie Current With High-Intensity Interval Training on Abdominal Adiposity in Young Adults With Overweight and Obesity: Protocol for a Randomized Controlled Trial

Effects of Therapeutic Ultrasound and Aussie Current With High-Intensity Interval Training on Abdominal Adiposity in Young Adults With Overweight and Obesity: Protocol for a Randomized Controlled Trial

According to a report by the World Obesity Federation, more than half of the world’s population will be overweight or obese by 2035 [1]. Excess abdominal fat is a primary determinant for developing insulin resistance and other metabolic disorders [2]. Lifestyle modification is the most recommended approach for treating and preventing obesity at any stage of life [2].

Ana Carolina Aparecida Marcondes-Scalli, Patricia Rehder-Santos, Étore De Favari Signini, Alex Castro, Carla Dato, Leonardo Furlan, Richard Eloin Liebano, Aparecida Maria Catai

JMIR Res Protoc 2025;14:e71829

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

Obesity and mental health problems are intricately connected, with evidence suggesting a bidirectional relationship between the two [1,2]. Depression, one of the most extensively studied mental health issues, increases the risk of obesity by 58%, while obesity elevates the risk of depression by 55% [3]. Furthermore, both obesity and depression are significant risk factors for reduced work ability [4,5], and occupational burnout has been linked to these conditions [6-8].

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

JMIR Ment Health 2025;12:e66518

A Remotely Delivered GLP-1RA–Supported Specialist Weight Management Program in Adults Living With Obesity: Retrospective Service Evaluation

A Remotely Delivered GLP-1RA–Supported Specialist Weight Management Program in Adults Living With Obesity: Retrospective Service Evaluation

Obesity remains a global health crisis, affecting 890 million adults worldwide and contributing to diseases such as type 2 diabetes, cardiovascular disease, and certain cancers [1]. In the United Kingdom, projections suggest that by 2050, the annual cost of obesity to the National Health Service (NHS) could reach £9.7 billion (US $12.1 billion), with wider societal expenses approaching £49.9 billion (US $62.4 billion) [2].

Rebecca Richards, Michael Whitman, Gina Wren, Peta Campion

JMIR Form Res 2025;9:e72577

Virtual Reality in Obesity Management: Addressing Key Limitations in Clinical Application

Virtual Reality in Obesity Management: Addressing Key Limitations in Clinical Application

We are writing to express our appreciation for the recent publication in the Journal of Medical Internet Research titled “Assessing the Clinical Efficacy of a Virtual Reality Tool for the Treatment of Obesity: Randomized Controlled Trial” [1]. The authors propose an innovative approach to obesity treatment that leverages the interactivity and immersive experience of virtual reality (VR) technology through a randomized controlled trial, providing new scientific evidence for obesity management.

Xin Hu, Bin Wei

J Med Internet Res 2025;27:e68269

Community Health Worker Diabetes Prevention Awareness Training in an Immersive Virtual World Environment: Mixed Methods Pilot Study

Community Health Worker Diabetes Prevention Awareness Training in an Immersive Virtual World Environment: Mixed Methods Pilot Study

The burden of diabetes and obesity are greater for racial-ethnic minority groups in the United States, including non-Hispanic Blacks [1,2]. Estimates (2019‐2021) of the prevalence of diagnosed diabetes in the United States indicate that 12.5% of Black non-Hispanic adults (>18 years) have diabetes compared with 8.5% of white non-Hispanic adults [3]. Obesity is a major risk factor for the development of type 2 diabetes mellitus (T2 DM).

Laurie Ruggiero, Lauretta Quinn, Amparo Castillo, Colleen Monahan, Leticia Boughton Price, Wandy Hernandez

JMIR Form Res 2025;9:e64051

The Impact of Digital Technology–Based Exercise Combined With Dietary Intervention on Body Composition in College Students With Obesity: Prospective Study

The Impact of Digital Technology–Based Exercise Combined With Dietary Intervention on Body Composition in College Students With Obesity: Prospective Study

Over the past 4 decades, there has been a dramatic increase in obesity and related diseases, with approximately 50% of adults in China having overweight or obesity [1]. By 2030, the number of individuals with overweight or obesity in China is predicted to increase to 790 million, and the medical costs associated with overweight and obesity are expected to reach US $61 billion [2].

Chengyuan Hu, Zixin Lv, Jieping Zhu, Chunyuan Lai, Dongjuan Guo, Maolin Chen, Xiaoyan Cheng, Mingxin Rao, Xinyou Zhou, Liqiang Su

J Med Internet Res 2025;27:e65868

Leveraging Social Media Data to Understand the Impact of COVID-19 on Residents' Dietary Behaviors: Observational Study

Leveraging Social Media Data to Understand the Impact of COVID-19 on Residents' Dietary Behaviors: Observational Study

We obtained the state obesity rate data from the Behavioral Risk Factor Surveillance System (BRFSS). BRFSS provided the ground truth for the prevalence of obesity via self-reported obesity data among US adults by state and territory in 2019, 2020, and 2021. In Figure 3, we classified 49 states into 4 different obesity levels based on the state obesity rate. New Jersey was excluded from this study because the obesity rate data from BRFSS for New Jersey were missing due to insufficient data.

Chuqin Li, Alexis Jordan, Yaorong Ge, Albert Park

J Med Internet Res 2025;27:e51638