(1) The aim of the study is to assess the psychological burden of individuals with diabetes during the COVID-19 pandemic in comparison to matched controls. (2) Over the course of eight weeks, 9 April to 3 June 2020, 253 individuals with diabetes and 253 matched controls, using Propensity Score Matching (PSM), participated in this cross-sectional study. Participants completed an anonymous survey including demographics, depressive symptoms (PHQ-2), generalized anxiety (GAD-7), COVID-19-related fear, risk perception, and safety behavior. (3) While patients with diabetes expected their risk of infection similar to controls, they reported a higher probability of the occurrence of symptoms, severe course, and dying of COVID-19. Patients with diabetes showed no elevated generalized anxiety or depressive symptoms. However, they reported higher COVID-19-related fear and more adherent and dysfunctional safety behavior compared to controls. (4) From a public health view, it seems encouraging that despite the somatic risk condition, generalized anxiety and depression are not higher in patients with diabetes than in controls. Patients with diabetes report higher COVID-19-related fear, increased risk perception, and behavioral changes. This suggests that individuals with diabetes, as a significant risk group of severe COVID-19, show an adequate perception and functional reaction to the current pandemic.

BACKGROUND Obesity and depression are inter-related health concerns, demanding a high level of treatment and costs in the health care system. The development of eHealth interventions that simultaneously address obesity and mental health can be supportive in this regard. However, evidence of the efficacy of eHealth interventions in the treatment of depression in obese people is lacking. OBJECTIVE The aim of this systematic literature review is to evaluate the efficacy of existing eHealth interventions for obese people that target depression. METHODS We systematically searched electronic databases (Cochrane Library, PubMed, Scopus) to identify studies published in English between January 2016 and December 2021, that focused on eHealth interventions, targeting depression in obese people. Exclusion criteria were study objectives that (1) focused specifically on one or more metabolic comorbidities of obese people, e.g., hypertension, hyperlipidemia, diabetes; (2) focused specifically on eating disorders comorbidities e.g., binge eating disorder, and (3) focused specifically on patients before or after bariatric surgery. RESULTS The database search identified 187 records. Six articles were included in this review. Sample sizes ranged from 70 to 1267 participants of ages 18-60 years. All included studies were randomized controlled trials. Two of the six included studies were web-based interventions guided either by medical doctors or psychologists. All interventions included video, printed materials, and interactive parts of which two studies integrated elements of Cognitive Behavioural Therapy and Social Cognitive Therapy. The findings showed that eHealth treatment services, supported and guided throughout the intervention had high acceptance and efficacy in the reduction of depression among obese people. CONCLUSIONS EHealth interventions that address and target both mental and physical health with interactive strategies calls for better efficacy in the reduction of depression. Future eHealth interventions that target depression in obese people should integrate digital strategies that address both mental and physical health through interactive modules.