METHODS: We employed a five-stage scoping review framework, to systematically identify and review eligible articles. Eligibility criteria included a focus on bed bug infestations and reference to mental health impacts. Descriptive information was then extracted from each article, including the specific mental health effects cited.
RESULTS: An initial search yielded 920 unique articles on the topic of bed bugs. Of these, 261 underwent abstract review, and 167 underwent full-text review. Full-text review and subsequent review of reference lists yielded a final sample of 51 articles. Numerous mental health effects were linked to bed bug infestations, including severe psychiatric symptoms. However, the majority (n = 31) of the articles were commentary papers; only five original research articles were identified.
CONCLUSIONS: Although significant mental health effects are often linked to bed bugs, such discussions remain largely anecdotal. Despite recognition that the impact of bed bugs constitutes an important public health concern, little empirical evidence currently exists on this topic.
MATERIALS AND METHODS: We propose a mixed-method study of mental health assessment that combines psychological questionnaires with facial emotion analysis to comprehensively evaluate the mental health of students on a large scale. The Depression Anxiety and Stress Scale-21(DASS-21) is used for the psychological questionnaire. The facial emotion recognition model is implemented by transfer learning based on neural networks, and the model is pre-trained using FER2013 and CFEE datasets. Among them, the FER2013 dataset consists of 48 × 48-pixel face gray images, a total of 35,887 face images. The CFEE dataset contains 950,000 facial images with annotated action units (au). Using a random sampling strategy, we sent online questionnaires to 400 college students and received 374 responses, and the response rate was 93.5%. After pre-processing, 350 results were available, including 187 male and 153 female students. First, the facial emotion data of students were collected in an online questionnaire test. Then, a pre-trained model was used for emotion recognition. Finally, the online psychological questionnaire scores and the facial emotion recognition model scores were collated to give a comprehensive psychological evaluation score.
RESULTS: The experimental results of the facial emotion recognition model proposed to show that its classification results are broadly consistent with the mental health survey results. This model can be used to improve efficiency. In particular, the accuracy of the facial emotion recognition model proposed in this paper is higher than that of the general mental health model, which only uses the traditional single questionnaire. Furthermore, the absolute errors of this study in the three symptoms of depression, anxiety, and stress are lower than other mental health survey results and are only 0.8%, 8.1%, 3.5%, and 1.8%, respectively.
CONCLUSION: The mixed method combining intelligent methods and scales for mental health assessment has high recognition accuracy. Therefore, it can support efficient large-scale screening of students' psychological problems.
OBJECTIVES: To assess the psychological distress, anxiety, depression, coping strategies, risk perception, and attitude toward interprofessional teamwork among Egyptian healthcare workers during the COVID-19 pandemic.
METHODS: We conducted a cross-sectional online survey which consisted of five sections. The primary outcomes were anxiety (GAD-7), depression (PHQ-9), risk perception towards COVID-19, interprofessional teamwork attitude, and coping strategies during the Coronavirus disease-19 pandemic. The web-based questionnaire was distributed to Egyptian healthcare workers from the 20th of April 2020 to the 20th of May 2020. A snowball sampling method was used. Regression analysis was conducted to test the relationship between the socioeconomic characteristics and the previously mentioned outcomes.
RESULTS: A total of 403 participants responded to the online questionnaire. The majority were females (70.5%) and within the age group of 26-40 years (77.7%), with 2-5 years of work experience (43.2%). Most participants were pharmacists (33%) and physicians (22.1%). Eighty-two participants (21%) reported moderate to severe anxiety, and 79 participants reported (19.4%) moderate to severe depressive symptoms. In the univariate model, the marital status was associated with depression (OR 0.47, 95% CI 0.28-0.78), anxiety (OR 0.52, 95% CI 0.32-0.85), and an attitude toward interprofessional teamwork (β = -1.96 95% CI -2.72 to -1.2). Providing direct care to the patients was associated with lower anxiety symptoms (AOR 0.256, 95% CI 0.094-0.697). More severe anxiety and depressive symptoms were associated with difficulties in everyday life and the professional work environment (AOR 4.246 and 3.3, P = 0.003 and 0.01, respectively). Availability of mental health facilities at the workplace was associated with a lower risk perception towards COVID-19 (β = -0.79, 95% CI -1.24 to -0.34) and a more positive attitude towards teamwork (β = 2.77 95% CI 1.38-4.15).
CONCLUSIONS: According to our results, the COVID-19 pandemic was associated with mild anxiety and depression among healthcare workers in Egypt, especially pharmacists and physicians. We recommend more research targeting the mental health of healthcare workers in Egypt. If proven cost-effective and needed, wide-scale mental health screening and public health campaigns can facilitate effective prevention and treatment strategies. In addition, the availability of mental health facilities at the workplace could alleviate some of the risk perception associated with health emergencies and improve interprofessional teamwork.
METHODS: We conducted two independent rounds of large-scale surveys that yielded data from 621 Bangladeshi adolescents (AgeMean ± SD = 16.44 ± 1.32), of which 378 were males, and 244 were females. The participants completed the Bangla CS. A subset of the participants (n = 160) also completed the Bangla Beck's Hopelessness Scale (BBHS)-a measure of hopelessness.
RESULTS: Exploratory factor analysis on the first-round data (n = 340) discarded six items and retained 17 items and revealed a unidimensional factor structure. Confirmatory Factor Analysis on the second-round data (n = 281) supported the unidimensional structure (CFI = 0.94, TLI = 0.93). Measurement invariance analysis indicated that the unidimensional structure was robust across gender (143 males vs 139 females). The scale exhibited a negative correlation with BBHS revealing the scale's concurrent validity (r = - 0.16, p 0.70) across a sizable range of communication skills continuum (θ = - 5.3 to 2.3) and had excellent marginal reliability (0.80). All items had adequate discriminating power (0.90 ± 0.20).
CONCLUSION: The psychometric analysis of the 17-item Bangla-CS indicated that the scale is reliable and valid. We recommend that researchers and mental health practitioners utilize this scale to evaluate communication skills among Bangladeshi adolescents.
AIMS: This study aims to evaluate the effect of theory- and web-based health education intervention on mental health literacy among foundation students at a public university in Malaysia.
METHODS: A randomised controlled trial study will be conducted among foundation students. Participants will be recruited and randomly assigned to either the intervention or control group. The intervention will be conducted for two weeks with a one-month follow-up. The health education intervention will be developed according to the Information, Motivation, and Behavioural Skill Theory, and will be delivered via a website. The outcome will be measured using validated, self-administered questionnaires. at baseline, post-intervention, and one-month follow up. The data will be analysed using Generalised Estimating Equation (GEE). This study is registered to the Thai Clinical Trial Registry (TCTR) (reference number: TCTR20210705006), dated 4th July 2021.
CONCLUSIONS: The results from this study will be useful for relevant authorities to take further efforts in mental health promotion among young people.
METHODS: Initially, to develop constructs related to social media activities, web-based structured interviews were conducted with five office employees working in the oil and gas industry for the last 5 years. Then, using an online questionnaire survey, data was collected from 424 office employees working in the oil and gas industry in Malaysia. Using statistical software for social science (SPSS) and Smart PLS, exploratory factor analysis and confirmatory factor analysis were conducted to identify reliability and validity (discriminant validity, convergent validity and composite validity) of the constructs. Following this, path analysis was conducted and the moderating effects were identified.
RESULTS: Social media activities related to work-life decrease health and wellbeing by 11% and weaken the negative effect of effort-reward-imbalance on health and wellbeing by 17.6% at a 1% level of significance. The results of social media activities related to personal and social life strengthen the negative effect of effort-reward imbalance on health and wellbeing by 12% and negatively affects health and wellbeing and job rewards by 13, 55%, respectively. The direct effect of effort-reward imbalance and job efforts is significantly negative on health and wellbeing by 59 and 10%, respectively.
CONCLUSION: It is concluded that social media activities of the office employees significantly moderate the effect of effort-reward imbalance on health and wellbeing and intervene in job rewards in the organizations. Hence, the effect of social media activities reduces the health and wellbeing of office employees.