Background: Enhancing self-management in health care through digital tools is a promising strategy to empower patients with type 2 diabetes (T2D) to improve self-care. Objective: This study evaluates whether the Greenhabit (mobile health [mHealth]) behavioral treatment enhances T2D outcomes compared with standard care. Methods: A 12-week, parallel, single-blind randomized controlled trial was conducted with 123 participants (62/123, 50%, female; mean age 58.25 years, SD 9.46 years) recently diagnosed with T2D. Participants were recruited face-to-face from primary care centers in Barcelona, Spain, between July 2021 and March 2022. They were randomly assigned to 1 of 2 groups: (1) an intervention group (n=61) instructed to use the Greenhabit mobile app alongside standard care, or (2) a control group (n=62) who received advice on maintaining a healthy diet and followed standard care. The Greenhabit app incorporates serious gaming technology. Participants received daily messages and challenges focused on promoting a healthy lifestyle, including nutrition, exercise, relaxation, a positive mindset, and a supportive social environment. The app encouraged participants to set weekly goals and awarded points for completing challenges. Data on nutrition, anthropometrics, and blood and urine samples were collected at baseline, 6 weeks, and 12 weeks. Questionnaires assessing quality of life, work-life balance, and social environment were administered at baseline and during the final visit. The primary outcomes were HbA1c and fasting plasma glucose (FPG). Repeated-measures analysis of variance was used to compare changes over time (baseline to 6 weeks and baseline to 12 weeks) between the 2 intervention groups. Analysis of covariance was performed to evaluate changes at 6 and 12 weeks, adjusted for baseline levels of each variable. Multiple contrasts were corrected using a Bonferroni post hoc test. Results: Both groups showed significant reductions in HbA1c after 6 and 12 weeks (mean change in the intervention group [n=50] –0.4%, P<.001 vs –0.3% in the control group [n=53], P=.001) and in FPG after 6 weeks (mean change in the intervention group –5.3 mg/dL, P=.01 vs control group –5.8 mg/dL, P=.01). At 12 weeks, the intervention group also showed significant reductions in systolic and diastolic blood pressures (mean change –4.5, P=.049 and –2.4 mmHg, P=.03, respectively), body weight (mean change –0.8 kg, P=.03), BMI (mean change –0.3 kg/m2, P=.03), waist circumference (mean change –1.0 cm, P=.046), and triglyceride concentration (mean change –20.0 mg/dL, P=.03). There was also a significant increase in high-density lipoprotein-cholesterol concentrations (mean change 2 mg/dL, P=.049). Finally, improvements were noted in 3 out of the 5 elements of balance: positivity, social environment, and work-life balance. Conclusions: The 12-week intervention with the Greenhabit behavioral treatment mHealth app showed beneficial effects on T2D outcomes and reduced the burden of cardiovascular risk factors. Although larger studies are warranted, these results suggest that mHealth apps can be a promising tool for improving T2D self-management. Trial Registration: ISRCTN Registry ISRCTN13456652; http://www.isrctn.com/ISRCTN13456652

The aims of the present study were twofold: to determine the association between adherence to the Mediterranean diet (MedDiet) and psychological problems and to assess the relationship between different food groups of the MedDiet and different patterns of psychosocial health problems in a sample of Spanish adolescents from the Valle de Ricote (Region of Murcia, Spain). This cross-sectional study included a representative sample of 700 adolescents (57% girls) between 12 and 17 years of age. Adherence to the MedDiet was assessed by the Mediterranean Diet Quality Index for Children and Teenagers (KIDMED). Psychosocial health problems were measured by the 25-item self-report version of the Strengths and Difficulties Questionnaire (SDQ). ANCOVA models were used to test the mean differences in psychosocial health problems (SDQ subscales) by adherence to MedDiet categories (low, medium, and high). Multiple linear regression was used to determine the association between different food groups of the MedDiet and psychosocial health problems. Adolescents with low adherence to the MedDiet had significantly higher scores in SDQ total difficulties, conduct problems, and hyperactivity problems and lower scores in pro-social behavior (p < 0.05) than their peers with medium and high adherence to the MedDiet. In relation to specific MedDiet food groups, fruit, nut, and legume intake were associated with higher psychosocial health. However, sweets, skipping breakfast, or high consumption of pasta or rice (≥5 weeks) were associated to higher psychosocial health problems. Our results show that adolescents with higher adherence to the MedDiet could benefit from greater psychosocial health. Individually, some patterns of MedDiet, such as fruit, nut, and legume intake, may reduce psychosocial health problems. These cross-sectional results should be confirmed in longitudinal and intervention studies.

Background/objectives: recent studies have suggested that components typical of the Mediterranean diet (MedDiet) are associated with depression and anxiety prevention. In this sense, the main objective of this study was to analyse the associations between adherence to the MedDiet and depression and anxiety symptoms and to examine whether this relationship is mediated by lean mass and the muscle strength index (MSI). Methods: a cross-sectional study (based on data obtained from the Nuts4Brain-Z study) was conducted from 2023–2024, involving 428 university students, aged 18–30 years, from a Spanish public university. Depression was assessed using the Beck Depression Inventory (BDI-II), and anxiety was assessed via the General Anxiety Disorder-7 (GAD-7) tool. Adherence to the MedDiet was assessed using the MEDAS questionnaire. Lean mass was assessed via bioimpedance, and MSI was measured via a dynamometer. ANCOVA models were used to test the mean differences in depression and anxiety scores using MEDAS categories (low adherence < 9 points vs high adherence ≥ 9 points). Serial multiple mediation models, adjusted for the main confounders, were used to explore the role of lean mass and MSI in the relationships between adherence to the MedDiet and depression and anxiety symptoms. Results: university students with high adherence to the MedDiet exhibited lower scores for depression and anxiety symptoms (p < 0.05) than did students with low adherence to the MedDiet. The mediation analysis preliminarily revealed that both lean mass and MSI acted as mediators of the relationships between adherence to the MedDiet and depression and anxiety. Conclusion:adherence to the MedDiet in university students per se does not appear to have a direct effect on depression and anxiety symptoms because these associations are partially (for depression) or entirely (for anxiety) explained by lean mass and MSI.

Coenzyme Q10 (CoQ10) has been suggested as an adjunct therapy for endocrine and metabolic disorders. The aim of this study was to synthesise the evidence for the effect of CoQ10 supplementation on lipid and/or glycaemic alterations, including total cholesterol (TC), LDL- and HDL-cholesterol (LDL-C and HDL-C), lipoprotein a, fasting blood glucose (FBG), haemoglobin A1c (HbA1c), fasting insulin and Homeostatic Model Assessment of Insulin Resistance. A systematic search was conducted in Medline, Scopus, Web of Science and the Cochrane Library from their inception to July 2024. Meta-analyses that evaluated the effect of CoQ10 on the lipid or glycaemic profiles were included. Results were expressed as mean difference (MD) or standardised mean difference (SMD). CoQ10 showed an effect on the glycaemic profile, especially on FBG (MD from −11.21 to −5.2 mg/dL, SMD from −2.04 to −0.17) and on HbA1c (MD from −1.83 to −0.12%, SMD of −0.30). CoQ10 may also have an effect on the lipid profile, such as TC, triglycerides, HDL-C and even LDL-C, although the inconsistency of the results was somewhat higher. Supplementation with CoQ10 may be beneficial, especially in populations with diabetes mellitus or other endocrine and metabolic disorders. It could also have some effect on lipid parameters, which, together with the above, may reduce cardiovascular morbidity and mortality, although this is something that needs further research.

Journal of Medical Internet Research - International Scientific Journal for Medical Research, Information and Communication on the Internet #Preprint #PeerReviewMe: Warning: This is a unreviewed preprint. Readers are warned that the document has not been peer-reviewed by expert/patient reviewers or an academic editor, may contain misleading claims, and is likely to undergo changes before final publication, if accepted, or may have been rejected/withdrawn. Readers with interest and expertise are encouraged to sign up as peer-reviewer, if the paper is within an open peer-review period. Please cite this preprint only for review purposes or for grant applications and CVs (if you are the author). Background: Enhancing self-management in health care through digital tools is a promising strategy to empower patients with type 2 diabetes (T2D) to improve self-care. Objective: This study evaluates whether the Greenhabit (mobile health [mHealth]) behavioral treatment enhances T2D outcomes compared with standard care. Methods: A 12-week, parallel, single-blind randomized controlled trial was conducted with 123 participants (62/123, 50%, female; mean age 58.25 years, SD 9.46 years) recently diagnosed with T2D. Participants were recruited face-to-face from primary care centers in Barcelona, Spain, between July 2021 and March 2022. They were randomly assigned to 1 of 2 groups: (1) an intervention group (n=61) instructed to use the Greenhabit mobile app alongside standard care, or (2) a control group (n=62) who received advice on maintaining a healthy diet and followed standard care. The Greenhabit app incorporates serious gaming technology. Participants received daily messages and challenges focused on promoting a healthy lifestyle, including nutrition, exercise, relaxation, a positive mindset, and a supportive social environment. The app encouraged participants to set weekly goals and awarded points for completing challenges. Data on nutrition, anthropometrics, and blood and urine samples were collected at baseline, 6 weeks, and 12 weeks. Questionnaires assessing quality of life, work-life balance, and social environment were administered at baseline and during the final visit. The primary outcomes were HbA1c and fasting plasma glucose (FPG). Repeated-measures analysis of variance was used to compare changes over time (baseline to 6 weeks and baseline to 12 weeks) between the 2 intervention groups. Analysis of covariance was performed to evaluate changes at 6 and 12 weeks, adjusted for baseline levels of each variable. Multiple contrasts were corrected using a Bonferroni post hoc test. Results: Both groups showed significant reductions in HbA1c after 6 and 12 weeks (mean change in the intervention group [n=50] –0.4%, P<.001 vs –0.3% in the control group [n=53], P=.001) and in FPG after 6 weeks (mean change in the intervention group –5.3 mg/dL, P=.01 vs control group –5.8 mg/dL, P=.01). At 12 weeks, the intervention group also showed significant reductions in systolic and diastolic blood pressures (mean change –4.5, P=.049 and –2.4 mmHg, P=.03, respectively), body weight (mean change –0.8 kg, P=.03), BMI (mean change –0.3 kg/m2, P=.03), waist circumference (mean change –1.0 cm, P=.046), and triglyceride concentration (mean change –20.0 mg/dL, P=.03). There was also a significant increase in high-density lipoprotein-cholesterol concentrations (mean change 2 mg/dL, P=.049). Finally, improvements were noted in 3 out of the 5 elements of balance: positivity, social environment, and work-life balance. Conclusions: The 12-week intervention with the Greenhabit behavioral treatment mHealth app showed beneficial effects on T2D outcomes and reduced the burden of cardiovascular risk factors. Although larger studies are warranted, these results suggest that mHealth apps can be a promising tool for improving T2D self-management. Clinical Trial: ISRCTN Registry ISRCTN13456652; http://www.isrctn.com/ISRCTN13456652