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Evaluation of the Digital Support Tool Gro Health W8Buddy as Part of Tier 3 Weight Management Service: Observational Study

Evaluation of the Digital Support Tool Gro Health W8Buddy as Part of Tier 3 Weight Management Service: Observational Study

The referral criteria for tier 3 WMS were BMI over 40 kg/m2 or over 35 kg/m2 with medical conditions (eg, diabetes, hypertension, or polycystic ovary syndrome [PCOS]). Patients were informed about W8 Buddy while waiting for their first dietetic appointment, following a first review by a dietetics practitioner who acted as a digital coach and explained what their journey in the service would be like.

Petra Hanson, Farah Abdelhameed, Mohammed Sahir, Nick Parsons, Arjun Panesar, Michaela de la Fosse, Charlotte Summers, Amit Kaura, Harpal Randeva, Vinod Menon, Thomas M Barber

J Med Internet Res 2025;27:e62661

Forecasting Subjective Cognitive Decline: AI Approach Using Dynamic Bayesian Networks

Forecasting Subjective Cognitive Decline: AI Approach Using Dynamic Bayesian Networks

A key element was the creation of the Helsinki Health Study (HHS) score for predicting SCD using indicators such as smoking, alcohol consumption, leisure time physical activity (LTPA), consumption of fruit and vegetables, BMI, and insomnia symptoms, adjusting for sociodemographic factors. Using the HHS score to predict SCD: This objective focused on providing examples of how the HHS score can help individuals assess their health risks and make informed decisions.

Antti Etholén, Teemu Roos, Mirja Hänninen, Ioanna Bouri, Jenni Kulmala, Ossi Rahkonen, Anne Kouvonen, Tea Lallukka

J Med Internet Res 2025;27:e65028

The Role of Mobile Apps in Obesity Management: Systematic Review and Meta-Analysis

The Role of Mobile Apps in Obesity Management: Systematic Review and Meta-Analysis

It is known that body weight, BMI, waist circumference (WC), and body fat percentage—all key indicators of obesity and general health status [6]—can differ significantly by age and between ethnicities [6-8]. Several studies have shown that a 5% to 10% reduction in body weight can lead to a significant decrease in obesity-related complications [9-13]. Recently, pharmacological treatment has gained popularity in addressing obesity.

Carmelo Pujia, Yvelise Ferro, Elisa Mazza, Samantha Maurotti, Tiziana Montalcini, Arturo Pujia

J Med Internet Res 2025;27:e66887

Association Among BMI, Self-Esteem, and Nonsuicidal Self-Injury in Young Adults to Understand the Influence of Socioenvironmental Factors: Longitudinal Study

Association Among BMI, Self-Esteem, and Nonsuicidal Self-Injury in Young Adults to Understand the Influence of Socioenvironmental Factors: Longitudinal Study

A previous study demonstrated that while posttraumatic stress disorder leads to suicidal ideation, BMI plays a significant moderating role, indicating that the association between posttraumatic stress disorder and suicidal ideation is the strongest in individuals with high BMI values [11]. Another study has reported a correlation between obesity and NSSI and verified the correlation between BMI and major depressive disorder [12], but no precise research has explored the correlation between BMI and NSSI.

Yi Zhang, Ruixue Ying, Wan Lu, Xuemeng Liu, Keyan Hu, Qing Feng, Zixiang Yu, Zhen Wang, Fangting Lu, Yahu Miao, Nanzhen Ma, Fangbiao Tao, Tian Jiang, Qiu Zhang

JMIR Public Health Surveill 2025;11:e52928

Testing a Web-Based Interactive Comic Tool to Decrease Obesity Risk Among Racial and Ethnic Minority Preadolescents: Randomized Controlled Trial

Testing a Web-Based Interactive Comic Tool to Decrease Obesity Risk Among Racial and Ethnic Minority Preadolescents: Randomized Controlled Trial

The Centers for Disease Control and Prevention BMI percentile calculator was used to determine BMI-for-age percentile [37]. Use of the web-based tool for each group was assessed by first aggregating the “click-tracking” data by participant, URL, study week, and across the intervention period. Descriptive analyses, including means, SD, and ranges (minimum-maximum) were performed.

May May Leung, Katrina F Mateo, Marlo Dublin, Laura Harrison, Sandra Verdaguer, Katarzyna Wyka

JMIR Form Res 2025;9:e58460

Experiences of a Digital Behavior Change Intervention to Prevent Weight Gain and Promote Risk-Reducing Health Behaviors for Women Aged 18 to 35 Years at Increased Risk of Breast Cancer: Qualitative Interview Study

Experiences of a Digital Behavior Change Intervention to Prevent Weight Gain and Promote Risk-Reducing Health Behaviors for Women Aged 18 to 35 Years at Increased Risk of Breast Cancer: Qualitative Interview Study

The interviewer and lead author (REH) was female, aged 29 years (and thus was familiar with the participants’ life stage and had life experiences in common with some participants), and had a BMI within the “healthy” range but, to the knowledge of the author, did not have a history of breast cancer in her family.

Rhiannon E Hawkes, Mary Pegington, Alan Davies, Julia Mueller, Anthony Howell, D Gareth Evans, Sacha J Howell, David P French, Michelle Harvie

JMIR Cancer 2024;10:e57964

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

BMI was calculated as weight (kg) divided by square of height (m2) and classified according to age and sex. BMI z-scores were used for further analysis [34]. SDs for the BMI z-scores were calculated and BMI categories were classified in reference to Kromeyer-Hauschild et al [35]. The obesity category was considered as the sum of obesity and extreme obesity. Measurements were performed at 2 time points for both groups at the primary school.

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

JMIR Pediatr Parent 2024;7:e50289

Association of Cellulitis With Obesity: Systematic Review and Meta-Analysis

Association of Cellulitis With Obesity: Systematic Review and Meta-Analysis

One is that adipose tissue exerts immunosuppressive effects on the body through key adipokines, and another is that impeded lymphatic flow causes increased bacterial growth, decreased tissue oxygenation, and lymphedema commonly seen in individuals with high BMI [20-22]. There remains some controversy regarding whether systemic factors, such as obesity, play a significant role in the development of cellulitis.

Kimi Gabriella Taira, Madelyn Wang, William Guo, Olivia Kam, Tara Kaufmann

JMIR Dermatol 2024;7:e54302

Nutrition, Obesity, and Seborrheic Dermatitis: Systematic Review

Nutrition, Obesity, and Seborrheic Dermatitis: Systematic Review

Multiple studies included results that fit into more than 1 category, including 3 studies evaluating both BMI and alcohol use (Figure 1). Table S1 in Multimedia Appendix 1 summarizes the included studies’ findings and evidence levels according to the ratings of the Oxford Centre for Evidence-based Medicine [10].

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

JMIR Dermatol 2024;7:e50143

Effectiveness of a Smartphone App (Heia Meg) in Improving Decisions About Nutrition and Physical Activity: Prospective Longitudinal Study

Effectiveness of a Smartphone App (Heia Meg) in Improving Decisions About Nutrition and Physical Activity: Prospective Longitudinal Study

According to the findings of the public health survey on body weight and development, male individuals’ average weight, height, and BMI were 86.6 kg, 180.7 cm, and 26.5 kg/m2, respectively [21]. The percentage of male individuals who were overweight or obese (BMI ≥25 kg/m2) was 59%, while the percentage of male individuals who were underweight (BMI The survey revealed that Norway’s population needs and wants to improve its lifestyle regarding nutrition and weight loss.

Christine Olsen, Daniel Adrian Lungu

JMIR Form Res 2024;8:e48185