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1.
BMC Public Health ; 21(1): 2124, 2021 11 19.
Article in English | MEDLINE | ID: covidwho-1526616

ABSTRACT

BACKGROUND: Epidemiological studies show that even in highly developed countries many people with depression do not seek help for their mental health issues, despite promising prevention approaches encouraging people to seek help and reduce self-stigma. Therefore, an anti-stigma intervention study to support help-seeking behaviour will be developed on the basis of the newly explicated "Seeking Mental Health Care Model". METHODS: A quasi-experimental online study will be carried out to assess the effect of different intervention variables relevant for the help-seeking process. The study is conceived as a fractional factorial design. Participants will be screened for depressive complaints (PHQ-9 sum score ≥ 8) and current psychiatric/psychotherapeutic treatment. After baseline assessment the participants will be randomly allocated into one of the 24 study groups receiving different combinations of the vignette-based intervention aiming to reduce stigma and support help-seeking. Next, relevant outcome measures will be administered a second time. In a 3- and 6-month follow-up help-seeking behaviour will be measured. Gamified elements and avatar-choice techniques will be used to heighten study immersion and adherence. DISCUSSION: On the basis of the project results, promising research and intervention perspectives can be developed. Results, firstly, allow for a more detailed empirical investigation and conceptualisation of the stages of mental health care utilisation, as well as an examination of theoretical approaches to stigmatisation. Secondly, our online study could provide insights for an evidence-based design and evaluation of online interventions for people with a mental illness. TRIAL REGISTRATION: German Clinical Trials Register: DRKS00023557 . Registered 11 December 2020. World Health Organization, Universal Trial Number: U1111-1264-9954. Registered 16 February 2021.


Subject(s)
Mental Disorders , Attitude , Humans , Mental Disorders/therapy , Patient Acceptance of Health Care , Random Allocation , Social Stigma , Stereotyping
2.
J Health Psychol ; 27(3): 601-611, 2022 03.
Article in English | MEDLINE | ID: covidwho-858386

ABSTRACT

In an online sample of 1054 Italian community-dwelling adults, we assessed the relationships between the frequency of implementation of practices intended to prevent COVID-19 infection, degree of agreement with theories about the origin of the infections, and the frequency of use of different sources of information concerning the COVID-19 pandemic. The results showed that participants' COVID-19-related preventive behaviors and causal beliefs were significantly associated with selected demographic variables and frequency of use of specific sources of information (e.g. scientific journals vs social media).


Subject(s)
COVID-19 , Communicable Disease Control/methods , Health Behavior , Adult , COVID-19/prevention & control , Humans , Italy , Pandemics/prevention & control , SARS-CoV-2 , Surveys and Questionnaires
3.
Pers Individ Dif ; 165: 110139, 2020 Oct 15.
Article in English | MEDLINE | ID: covidwho-544376

ABSTRACT

The present study aimed at assessing the impact of demographic characteristics, maladaptive personality traits and causal beliefs about COVID-19 on perceived emotional problems in a sample of Italian community-dwelling adults (N = 1043) in the first month of the social distancing period due to the COVID-19 pandemic in Italy. Hierarchical logistic regression analysis results showed that dysfunctional personality domains and non-scientifically supported causal beliefs explained all the variance that was originally explained by demographic variables (i.e., age and gender). In particular, negative affectivity and detachment represented relevant risk factors for reduced emotional well-being in our sample. A significant positive association was observed also between emotional problems and supernatural causal beliefs on the COVID-19 infection. Our data supported the importance of considering the impact of quarantine measures on psychological well-being, while suggesting possible risk factors related to individual differences in personality and causal beliefs.

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