e.g. mhealth
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Skip search results from other journals and go to results- 7 Journal of Medical Internet Research
- 4 JMIR Public Health and Surveillance
- 4 JMIR Research Protocols
- 4 JMIR mHealth and uHealth
- 4 JMIRx Med
- 3 JMIR Formative Research
- 3 JMIR Pediatrics and Parenting
- 2 JMIR Cardio
- 2 JMIR Dermatology
- 2 JMIR Serious Games
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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.
JMIR Public Health Surveill 2025;11:e52928
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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.
JMIR Form Res 2025;9:e58460
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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.
JMIR Cancer 2024;10:e57964
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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.
JMIR Pediatr Parent 2024;7:e50289
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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.
JMIR Dermatol 2024;7:e54302
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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].
JMIR Dermatol 2024;7:e50143
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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.
JMIR Form Res 2024;8:e48185
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Therefore, this study is designed to identify characteristic patterns of preschool children’s eating habits using unsupervised machine learning techniques and to determine the impact of these eating habits on children’s BMI. Our results provide evidence that can guide healthy eating habits to prevent childhood obesity.
JMIR Public Health Surveill 2024;10:e51581
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The objective of this analysis was to investigate the postprandial response of Lumen’s CO2 measurements to meals logged by Lumen users and to understand the association of this response with macronutrient consumption as well as users’ age, gender, and BMI.
JMIR Mhealth Uhealth 2024;12:e56083
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Eligible participants are at least 18 years old, have a BMI of ≥25 kg/m2, and have a documented diagnosis of MGUS, SMM, or SWM via the review of their electronic medical records.
JMIR Res Protoc 2024;13:e51368
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