The Independent Effect of Age Groups on the Effectiveness of Lifestyle Intervention

Effects of Preoperative Quadruple Therapy for Helicobacter pylori on Bariatric Surgery Metabolic Outcomes

PURPOSE

To assess the effects of Helicobacter pylori (HP) eradication with an omeprazole, clarithromycin, amoxicillin, and metronidazole (OCAM) regimen on the metabolic profile and weight loss 12 months after bariatric surgery (BS).

METHODS

Retrospective analysis of a prospective cohort of patients with morbid obesity undergoing BS. HP presence was tested preoperatively by gastric biopsy and treated with OCAM when positive. Short-term metabolic outcomes and weight loss were evaluated.

RESULTS

HP infection was detected in 75 (45.7%) of the 164 patients included. OCAM effectiveness was 90.1%. HP-negative patients had a greater reduction in glucose levels at 3 (-14.6 ± 27.5 mg/dL HP-treated vs -22.0 ± 37.1 mg/dL HP-negative, p=0.045) and 6 months (-13.7 ± 29.4 mg/dL HP-treated vs -26.4 ± 42.6 mg/dL HP-negative, p= 0.021) and greater total weight loss (%TWL) at 6 (28.7 ± 6.7% HP-treated vs 30.45 ± 6.48% HP-negative, p= 0.04) and 12 months (32.21 ± 8.11% HP-treated vs 35.14 ± 8.63% HP-negative, p= 0.023).

CONCLUSIONS

Preoperative treatment with OCAM has been associated to poorer glycemic and weight loss outcomes after BS. More research is needed on the influence of OCAM on gut microbiota, and in turn, the effect of the latter on metabolic and weight loss outcomes after BS.

The effect of lifestyle interventions on depressive symptom severity in individuals with type-2 diabetes: A meta-analysis of randomized controlled trials

BACKGROUND

Type 2 diabetes mellitus (T2DM) is a severe metabolic condition which is commonly comorbid with depression. Lifestyle factors are involved in the pathophysiology of both conditions; however, the role of lifestyle interventions remains unclear.

OBJECTIVE

The objective of this study is to systematically review the literature on randomized controlled trials evaluating the effect of lifestyle interventions on depressive scores in patients with T2DM.

METHODS

A systematic search was conducted in computerized databases before October 2022. A random-effects model was used to investigate the effect of lifestyle interventions on depression scores and meta-regression was conducted to assess the influence of age and disease onset.

RESULTS

Six trials met the eligibility criteria for inclusion. A statistically significant reduction in depression scores was found for groups receiving lifestyle interventions compared to controls (SMD = -0.49 [95%CI -0.89 to -0.08]; p = 0.0269]). Interventions increased in efficacy with the age of the participants but no significant correlation was found with years since disease onset. Participants in a control group receiving a less intense lifestyle intervention demonstrated improved depression scores when compared to those who received standard care or no intervention at all. Trial design and outcome measurement tools were heterogeneous between studies and limited data on antidepressant use was available which may introduce bias into the results.

CONCLUSION

Lifestyle interventions were effective at improving depressive symptom severity in patients with T2DM.

Effectiveness and Implementation Outcome Measures of Mental Health Curriculum Intervention Using Social Media to Improve the Mental Health Literacy of Adolescents

Purpose

Globally, adolescent mental health problems reportedly manifest more severely in individuals with lower mental health literacy. Mental health curriculum interventions using social media have been associated with positive implementation outcomes. This study aimed to investigate whether such an intervention significantly improves adolescent mental health literacy and is associated with positive implementation outcome measures.

Methods

This study employed a quasi-experimental design, comparing the before-and-after difference between the intervention group (n₁=77) and the control group (n₁=76). A mental health literacy module was delivered using social media. Data were collected using validated questionnaires. Effect size and difference-in-differences model calculations (and associated 95% confidence intervals, CI) were conducted alongside other descriptive analyses.

Results

The estimated intervention effect size and difference-in-differences estimates were greater than zero. The effect was greater in the intervention than in the control group (p<0.05) despite sex and age differences. The effect size estimate provided by Cohen’s d and Hedges’ g values was medium-to-large (d/g=0.429–0.767, p<0.05). The difference-in-differences reflected a significant effect (DID=0.348, CI: 0.154–0.542, p<0.001) in increasing mental health literacy despite differences associated with sex, age, and school grade. The intervention program was acceptable, appropriate, feasible, and satisfactory, and more than 80% of participants said they agree to completely agree with these implementation outcomes. Resources and personal and family-related factors were among the perceived influencing factors determining the effectiveness and implementation outcome measures.

Conclusion

The intervention program effectively improved the mental health literacy of adolescents. It has been highlighted that social media interventions for mental health promotion could be practical and scalable; however, there is a need to take into account socio-demographic differences and barriers to inclusion/compliance.