Temporomandibular disorders and associated comorbidities among brazilian dental students during COVID-19

Aim: This study aimed to assess the prevalence of temporomandibular disorders (TMD) and psychosocial comorbidities in undergraduate dental students in a southern Brazilian university, during the COVID-19 pandemic. Also, it aimed to verify the association between psychosocial factors and TMD. Methods: Fonseca Anamnestic Index, Depression Anxiety Stress Scale (DASS-21), a socioeconomic questionnaire, and questions about academic performance and social distancing were applied. Poisson regression analysis was used to assess the association of predictive variables with TMD. Results: The prevalence of TMD was found to be 82.4%, and more than half of the students had some degree of stress, anxiety, and depression. Students who had symptoms of stress (RR 1.11; 95% CI 1.04-1.19), anxiety (RR 1.19; 95% CI 1.12-1.27) and reported academic performance worsening (RR 1.12; 95% CI 1.07-1.19) had higher TMD scores. Conclusion: The findings suggest that TMD was highly prevalent among dental students at a federal university in southern Brazil during the pandemic, being associated with high levels of stress, anxiety, poor academic performance, and greater social distancing

Depression and associated factors in medical students in Acapulco during the COVID-19 pandemic: A cross-sectional study.

BACKGROUND: Depression is common in medical students and the Mexican state of Guerrero has the highest rates of depression in the country. Acapulco, the seat of the state medical school, is a tourist destination that experienced early high rates of COVID-19. The COVID-19 pandemic closed all schools in Mexico, obliging a shift from face-to-face to virtual education. In this new context, medical students faced challenges of online teaching including inadequate connectivity and access technologies. Prolonged isolation during the pandemic may have had additional mental health implications. AIM: Assess depression prevalence and its associated factors affecting medical students in Acapulco, Mexico during the COVID-19 pandemic. METHODS: A cross-sectional survey of students of the Faculty of Medicine of the Universidad Autónoma de Guerrero, in November 2020. After informed consent, students completed a self-administered questionnaire collating socio-demographic, academic and clinical variables, major life events and changes in mood. The Beck inventory provided an assessment of depression. Bivariate and multivariate analyses relied on the Mantel-Haenszel procedure to identify factors associated with depression. We estimated the odds ratio (OR) and 95% confidence intervals. RESULTS: 33.8% (435/1288) of student questionnaires showed evidence of depression in the two weeks prior to the study, with 39.9% (326/817) of young women affected. Factors associated with depression included female sex (OR 1.95; 95%CI 1.48-2.60), age 18-20 years (OR 1.36; 95%CI 1.05-1.77), perceived academic performance (OR 2.97; 95%CI 2.16-4.08), perceived economic hardship (OR 2.18; 95%CI 1.57-3.02), and a family history of depression (OR 1.85; 95%CI 10.35-2.54). Covid-19 specific factors included a life event during the pandemic (OR 1.99; 95%CI 1.54-2.59), connectivity problems during virtual classes and difficulties accessing teaching materials (OR 1.75; 95%CI 1.33-2.30). CONCLUSIONS: The high risk of depression in medical students during the COVID-19 pandemic was associated with perceived academic performance and technical barriers to distance learning, in addition to known individual and family factors. This evidence may be useful for the improvement of programs on prevention and control of depression in university students.

Anxiety, depression, and stress among radiography undergraduates during the COVID-19 pandemic.

INTRODUCTION: The COVID-19 pandemic has severely impacted education and other aspects of life, causing psychological distress. The current study aims to identify anxiety, depression, and stress among radiography undergraduates during the COVID-19 pandemic. METHOD: A descriptive, cross-sectional study was conducted between November and December 2021 on a sample of 140 radiography undergraduates at the Department of Radiography/Radiotherapy, Faculty of Allied Health Sciences, University of Peradeniya. An online survey with two sections: demographic characteristics and a psychometric scale (DASS-42) was used for data collection. RESULTS: A total of 107 undergraduates responded to the questionnaire giving a response rate of 76.2%. The results revealed that the majority of radiography undergraduate students suffered from mild to extremely severe depression (87.85%), anxiety (92.52%), and stress (73.83%) levels. In addition, more than two-thirds of the students (>73% of participants) reported at least one symptom of depression, anxiety, or stress to varying degrees. Scores for depression, anxiety, and stress did not differ significantly across gender and academic year. However, a significant difference was observed between the two age groups, 23-26 years and > 27 years, regarding depression. The older students reported severe depression, whereas younger students reported moderate depression. CONCLUSION: A high prevalence of negative psychological impact was observed among radiography undergraduates during the COVID-19 pandemic. This necessitates taking proactive steps to address, safeguard, and nurture undergraduates' mental health and well-being during the current and future pandemic crises to mitigate the negative impacts.

The mediating role of psychological capital in the association between life satisfaction and depressive and anxiety symptoms among Chinese medical students during the COVID-19 pandemic: a cross-sectional study.

BACKGROUND: Although life satisfaction is a predictor of depressive and anxiety symptoms, the mechanisms underlying this association are poorly understood. This study examined how psychological capital (PsyCap), a positive psychological state, mediated the association between life satisfaction and depressive and anxiety symptoms among Chinese medical students during the COVID-19 pandemic. METHODS: A cross-sectional survey was conducted at three medical universities in China. A self-administered questionnaire was distributed to 583 students. Depressive symptoms, anxiety symptoms, life satisfaction, and PsyCap were measured anonymously. A hierarchical linear regression analysis was performed to explore the effects of life satisfaction on depressive and anxiety symptoms. Asymptotic and resampling strategies were used to examine how PsyCap mediates the association between life satisfaction and depressive and anxiety symptoms. RESULTS: Life satisfaction was positively associated with PsyCap and its four components. There were significant negative associations between life satisfaction, psychological capital, resilience, optimism, and depressive and anxiety symptoms among medical students. Self-efficacy was negatively associated with depressive and anxiety symptoms. Psychological capital (a×b = -0.3201, BCa 95% CI: -0.3899, -0.2446; a×b = -0.2749, BCa 95% CI: -0.3817, -0.1996), resilience (a×b = -0.2103, BCa 95% CI: -0.2727, -0.1580; a×b = -0.1871, BCa 95% CI: -0.2520, -0.1414), optimism (a×b = -0.2100, BCa 95% CI: -0.3388, -0.1150; a×b = -0.1998, BCa 95% CI: -0.3307, -0.0980), and self-efficacy (a×b = -0.0916, BCa 95% CI: 0.0048, 0.11629; a×b = 0.1352, BCa 95% CI: 0.0336, 0.2117) significantly mediated the association between life satisfaction and depressive and anxiety symptoms. LIMITATIONS: This was a cross-sectional study, and causal relationships between the variables could not be ascertained. Self-reported questionnaire instruments were used for data collection, which may have recall bias. CONCLUSIONS: Life satisfaction and PsyCap can be used as positive resources to reduce depressive and anxiety symptoms among third-year Chinese medical students during the COVID-19 pandemic. Psychological capital and its components (self-efficacy, resilience, and optimism) partially mediated the relationship between life satisfaction and depressive symptoms, and completely mediated the relationship between life satisfaction and anxiety symptoms. Therefore, improving life satisfaction and investing in psychological capital (especially self-efficacy, resilience, and optimism) should be included in the prevention and treatment of depressive and anxiety symptoms among third-year Chinese medical students. Additional attention is needed to pay for self-efficacy in such disadvantageous contexts.

Prevalence and predictors of depression, anxiety, and stress among recovered COVID-19 patients in Vietnam.

Background: During the COVID-19 pandemic, a high prevalence of mental health distress has been reported among people who have recovered from the disease. Objectives: To assess the prevalence of depression, anxiety, and stress as well as identify predictors among recovered COVID-19 patients after more than six months of being discharged in Dong Thap Province, Vietnam. Material and methods: The cross-sectional study was conducted among 549 eligible participants recruited by stratified sampling. Data was collected using the depression, anxiety and stress scale - 21 items had Content Validity Index = 0.9, and Cronbach's alpha for depression, anxiety and stress sub-scales were 0.95, 0.81, and 0.86, respectively. Descriptive statistics were used to measure the prevalence levels and distribution of characteristics of the participant, while factors influencing depression, anxiety, and stress were predicted using binary logistic regression. Results: The overall prevalence of depression, anxiety, and stress were 24.8% (95% CI: 21.2-28.6), 41.5% (95% CI: 37.4-45.8), and 25.3% (95% CI: 21.7-29.2), respectively. The predictors of depression were living in urban area (OR = 1.97; 95% CI: 1.27-3.08), holding a bachelor's degree (OR:3.51; 95% CI: 1.13-10.8), having a high monthly income (OR: 2.57; 95% CI: 1.03-6.38), diabetes (OR: 2.21; 95% CI: 1.04-4.68), heart disease (OR: 3.83; 95% CI: 1.79-8.17), respiratory disease (OR: 3.49; 95% CI: 1.24-9.84), and diarrhea (OR: 4.07; 95% CI: 1.06-15.6). Living in the urban area (OR: 1.57; 95% CI: 1.07-2.29), having sleep disturbance (OR: 2.32; 95% CI: 1.56-3.46), and fatigue (OR: 1.57; 95% CI: 1.03-2.39) were predictors for anxiety. Having respiratory disease (OR: 3.75; 95% CI: 1.47-9.60) or diarrhea (OR: 4.34; 95% CI: 1.18-15.9) were predictors of stress. Conclusion: People who have recovered from COVID-19 should be assessed for symptoms of depression, anxiety, and stress. Primary healthcare providers should develop interventions to support their recovery.

Problematic use of the internet, smartphones, and social media among medical students and relationship with depression: An exploratory study.

BACKGROUND: Students in sub-Saharan African countries experienced online classes for the first time during the COVID-19 pandemic. For some individuals, greater online engagement can lead to online dependency, which can be associated with depression. The present study explored the association between problematic use of the internet, social media, and smartphones with depression symptoms among Ugandan medical students. METHODS: A pilot study was conducted among 269 medical students at a Ugandan public university. Using a survey, data were collected regarding socio-demographic factors, lifestyle, online use behaviors, smartphone addiction, social media addiction, and internet addiction. Hierarchical linear regression models were performed to explore the associations of different forms of online addiction with depression symptom severity. RESULTS: The findings indicated that 16.73% of the medical students had moderate to severe depression symptoms. The prevalence of being at risk of (i) smartphone addiction was 45.72%, (ii) social media addiction was 74.34%, and (iii) internet addiction use was 8.55%. Online use behaviors (e.g., average hours spent online, types of social media platforms used, the purpose for internet use) and online-related addictions (to smartphones, social media, and the internet) predicted approximately 8% and 10% of the severity of depression symptoms, respectively. However, over the past two weeks, life stressors had the highest predictability for depression (35.9%). The final model predicted a total of 51.9% variance for depression symptoms. In the final model, romantic relationship problems (ß = 2.30, S.E = 0.58; p<0.01) and academic performance problems (ß = 1.76, S.E = 0.60; p<0.01) over the past two weeks; and increased internet addiction severity (ß = 0.05, S.E = 0.02; p<0.01) was associated with significantly increased depression symptom severity, whereas Twitter use was associated with reduced depression symptom severity (ß = 1.88, S.E = 0.57; p<0.05). CONCLUSION: Despite life stressors being the largest predictor of depression symptom score severity, problematic online use also contributed significantly. Therefore, it is recommended that medical students' mental health care services consider digital wellbeing and its relationship with problematic online use as part of a more holistic depression prevention and resilience program.

Occupational health: the role of demographic factors in the condition of increased risk.

OBJECTIVES: The paper analyses the impact of socio-demographic characteristics of the employees in conditions of uncertainty in the organizations. MATERIAL AND METHODS: The study was conducted on a sample of 210 employees using the Mental Health Inventory - 38 (MHI-38), Satisfaction with life scale (SWLS), and the Center for Epidemiological Studies - Depression (CES-D). RESULTS: The results showed that female respondents had significantly higher scores on ANX (t = 2,278, p < 0.05), while male employees had higher scores on life satisfaction (t = 2.103, p < 0.05). Older employees have a higher tendency for loss of emotional-behavioral control (F = 4.427, p < 0.05). Respondents who have satisfying living standards have also higher scores on SWLS (t = 2.257, p < 0.05). Respondents who have dissatisfying living standard have higher scores on generally positive affect (t = 3.152, p < 0.01), life satisfaction (t = 3.571, p < 0.01), psychological distress (t = 2.929, p < 0.01) and loss of emotional- behavioral control (t = 2.361, p < 0.05). Employees with different levels of educational background have similar tendencies in life satisfaction, mental health, and depressive symptoms (p > 0.05). CONCLUSIONS: The study showed that the specific socio-demographic profile of the employees is related to higher levels of mental health issues. Specifically, the mental health of female and older employees have been especially affected and disturbed by uncertain conditions. The results can be potentially used both in the terms of designing activities that support the mental health of the population, as well as in relation to the mental health of employees. Int J Occup Med Environ Health. 2023;36(2):250-62.

The influence of the COVID-19 pandemic on the psychological well-being of college students: a cross-sectional study.

OBJECTIVE: Even before the outbreak of the COVID-19 pandemic, concerns regarding college students' mental health were on the rise due to the increasing number of students afflicted with mental health issues. Exposure to numerous pandemic-related measures exacerbated existing issues with anxiety, depression, and stress. This study aimed to assess depression, anxiety, and stress levels among university students in the Aseer region in Saudi Arabia. SUBJECTS AND METHODS: Data were collected from eligible individuals using a web-based, self-administered DASS-21 questionnaire. This questionnaire consists of 21 questions with a rating scale of 0-3. Each of the psychological factors of depression, anxiety, and stress was categorized as normal, mild, moderate, severe, and extremely severe. Results were expressed using descriptive statistics as proportions, and the Mann-Whitney/Kruskal-Wallis' test was used to evaluate the presence of a significant difference between each of the socio-demographic factors of the respondents and the psychological outcomes. RESULTS: Respondents aged between 18-24 years reported higher rates of extremely severe depression than other age groups. Females had higher rates of depression, especially severe and extremely severe forms. Extremely severe anxiety had a relatively high prevalence across all age groups. Extremely severe stress was more common among respondents aged between 18-24 years, while respondents older than 34 years reported the highest prevalence of severe stress. The Mann-Whitney/Kruskal-Wallis' tests showed statistically significant differences between participants in the different groups. CONCLUSIONS: The COVID-19 pandemic had a high psychological impact on university students, which indicates that a psychological support program should be implemented to reduce this impact.

Risk Factors and Protective Factors of Internet Addiction in University Students during the Pandemic: Implications for Prevention and Treatment.

While the prevalence rates of Internet addiction (IA) amongst young people during the pandemic are disturbing, few studies have investigated the risk and protective factors of IA in Hong Kong university students under COVID-19. In this study, we examined the relationship between COVID-19-related stress and IA and the role of psychological morbidity and positive psychological attributes in the relationship. In summer 2022, 978 university students completed a survey assessing pandemic-related stress, psychological morbidity, and positive psychological attributes. While psychological morbidity was indexed by depression, post-traumatic stress disorder, and suicidal behavior, positive psychological attributes included life satisfaction, flourishing, adversity beliefs, emotional competence, resilience, and family functioning measures. Results showed that stress and psychological morbidity positively predicted IA, and psychological morbidity mediated the association between stress and IA. Positive psychological attributes negatively predicted stress and IA, and mediated the connection between stress and IA. Positive psychological attributes moderated the mediating effect of psychological morbidity on the relationship between stress and IA. In addition to theoretical contributions, this study contributes to IA prevention and treatment: reducing psychological morbidity and promoting positive psychological attributes are promising strategies to address IA issues in young people.

Machine Learning Model for Computer-Aided Depression Screening among Young Adults Using Wireless EEG Headset.

Depression is a disorder that if not treated can hamper the quality of life. EEG has shown great promise in detecting depressed individuals from depression control individuals. It overcomes the limitations of traditional questionnaire-based methods. In this study, a machine learning-based method for detecting depression among young adults using EEG data recorded by the wireless headset is proposed. For this reason, EEG data has been recorded using an Emotiv Epoc+ headset. A total of 32 young adults participated and the PHQ9 screening tool was used to identify depressed participants. Features such as skewness, kurtosis, variance, Hjorth parameters, Shannon entropy, and Log energy entropy from 1 to 5 sec data filtered at different band frequencies were applied to KNN and SVM classifiers with different kernels. At AB band (8-30 Hz) frequency, 98.43 ± 0.15% accuracy was achieved by extracting Hjorth parameters, Shannon entropy, and Log energy entropy from 5 sec samples with a 5-fold CV using a KNN classifier. And with the same features and classifier overall accuracy = 98.10 ± 0.11, NPV = 0.977, precision = 0.984, sensitivity = 0.984, specificity = 0.976, and F1 score = 0.984 was achieved after splitting the data to 70/30 ratio for training and testing with 5-fold CV. From the findings, it can be concluded that EEG data from an Emotiv headset can be used to detect depression with the proposed method.

Neurobiological Correlates of Psilocybin Response in Depression.

Objective: To synthesize the neurobiological basis of brain-resetting effects of psilocybin and identify neuroimaging correlates of psilocybin response in depressed patients.Data Sources: MEDLINE(R), Embase, APA PsycINFO, Cochrane, and CINAHL were systematically searched on June 3, 2022, with no date restrictions using the following string: (psilocybin) AND (psychedelics) AND (MRI) OR (fMRI)) OR (PET)) OR (SPECT)) OR (imaging)) OR (neuroimaging)).Study Selection: After duplicates were removed from 946 studies, 391 studies remained, of which 8 qualified for full-text analysis, but only 5 fulfilled the eligibility criteria of randomized, double-blind, or open-label neuroimaging study with psilocybin treatment in depressed patients.Data Extraction: The Covidence platform was used for deduplication and bias assessment. The a priori data points included concomitant psychological intervention, modality of neuroimaging technique, changes in depression scores, brain functional changes, and association between functional and psilocybin response. Assessment bias was assessed with the standard risk of bias tool for randomized controlled trials and the tool for risk of bias in nonrandomized studies of interventions.Results: Four studies were open-label, and one was a combined open-label and randomized controlled trial using functional magnetic resonance imaging. Psilocybin-assisted psychotherapy was administered in 3 studies, 1 in refractory and 2 in nonrefractory patients. The remaining 2 studies were in refractory patients. The transient increase in psilocybin-induced global connectivity in major neural tracts and specific areas of brain activation was associated with antidepressant response.Conclusions: Transient functional brain changes with psilocybin therapy resemble the "brain reset" phenomenon and may serve as the putative predictors of psilocybin antidepressant response.

Internet addiction and mental health disorders in high school students in a Peruvian region: a cross-sectional study.

OBJECTIVES: To determine the association between internet addiction disorder (IAD) and anxiety and depressive symptomatology in high school students in two private schools in Chiclayo, Peru, during the COVID-19 pandemic. MATERIALS AND METHODS: Analytical cross-sectional investigation of 505 adolescents from two private schools. The dependent variables were anxiety and depressive symptomatology, measured with the Beck Adapted Depression Questionnaire (BDI-IIA) and the Beck Anxiety Inventory (BAI), respectively. The main independent variable was IAD, measured with the Internet Addiction Test instrument(IATI). Prevalence ratios (PR) and 95% confidence intervals (95%CI) were estimated. RESULTS: The average age was 14.16 years and 54.9% were women. 22.2% and 3.2% presented mild and moderate IAD; respectively. 9.3% presented severe anxiety and 34.3% severe depressive symptomatology. In the simple regression, adolescents with mild, moderate and severe IAD presented 19% (PR = 1.19; 95%CI: 1.05-1.35), 25% (PR = 1.25; 95%CI: 1.02-1.53) and 53% (PR = 1.47; 95% CI: 1.47-1.60) higher prevalence of depressive symptomatology; however, this association was not maintained in the multiple model. Anxiety increased 196% in adolescents with severe IAD (PR = 2.96; 95%CI: 1.86-4.71). CONCLUSION: We found that 2, 1, and 3 out of 10 students presented IAD, depressive symptomatology, and anxiety, respectively. We did not find an association between IAD and depressive symptomatology, but we did find an association with anxiety. Among the factors associated with the development of depressive symptomatology were the male sex, the presence of eating disorders, subclinical insomnia, using devices for more than 2 h, and using the Internet for academic activities. About anxiety, the associated factors are the female sex, the presence of eating disorders, subclinical insomnia, and the use of the Internet as social interaction. We recommend implementing counseling programs in view of the imminent introduction of the Internet as a pillar in education.

Lost time: Perception of events timeline affected by the COVID pandemic.

The need to remember when a past event occurred, is often an everyday necessity. However, placing events in a timeline is seldom accurate and although to some extent modulated by event saliency, on average we are less accurate in remembering a timeline for events happening in the distant past compared to more recent events. 277 participants took part in an online study during May 2022 in which they were asked to state the year in which a number of events took place. The events' occurrences ranged from 2017 to 2021, with participants choosing one date from the 2016-2022 range. In addition, they completed 4 questionnaires aimed at quantifying their State Boredom; Depression, Anxiety & stress; resilience; and level of activity during the lockdown periods of the COVID pandemic. As expected, the findings showed more errors for distant events than those in 2020, but surprisingly we found a large error for estimating the timing of events that occurred in 2021 matching in the extent to those 3 to 4 years earlier. The findings show that participants were less able to recall the timeline of very recent events coinciding with COVID lockdowns. This increased error in perception of event timeline correlated positively with reported levels of depression & anxiety as well as physical and mental demands during the pandemic, but negatively correlated with measures of resilience. Although measures of boredom showed significant correlations with reported depression & anxiety and physical/mental load, they did not correlate with errors in the perception of the event timeline for 2021. The findings are consistent with poor perception of event timeline reported previously in prison inmates. It is likely that an accurate perception of an event timeline relies on a collection of life events such as birthdays, holidays, travels, etc., anchoring our experiences in the time domain, which was largely absent during COVID restrictions.

The impact of the COVID-19 pandemic on depression in community-dwelling older adults: a prospective cohort study.

BACKGROUND: There are growing concerns about the impact of the COVID-19 pandemic on the mental health of older adults. We examined the effect of the pandemic on the risk of depression in older adults. METHODS: We analyzed data from the prospective cohort study of Korean older adults, which has been followed every 2 years. Among the 2308 participants who completed both the third and the fourth follow-up assessments, 58.4% completed their fourth follow-up before the outbreak of COVID-19 and the rest completed it during the pandemic. We conducted face-to-face diagnostic interviews using Mini International Neuropsychiatric Interview and used Geriatric Depression Scale. We performed generalized estimating equations and logistic regression analyses. RESULTS: The COVID-19 pandemic was associated with increased depressive symptoms in older adults [b (standard error) = 0.42 (0.20), p = 0.040] and a doubling of the risk for incident depressive disorder even in euthymic older adults without a history of depression (odds ratio = 2.44, 95% confidence interval 1.18-5.02, p = 0.016). Less social activities, which was associated with the risk of depressive disorder before the pandemic, was not associated with the risk of depressive disorder during the pandemic. However, less family gatherings, which was not associated with the risk of depressive disorder before the pandemic, was associated with the doubled risk of depressive disorder during the pandemic. CONCLUSIONS: The COVID-19 pandemic significantly influences the risk of late-life depression in the community. Older adults with a lack of family gatherings may be particularly vulnerable.

Depression, anxiety and stress among HIV-positive pregnant women in Ethiopia during the COVID-19 pandemic.

BACKGROUND: Assessing the maternal mental health status during the coronavirus disease 2019 (COVID-19) pandemic is necessary to prevent the occurrence of severe mental disorders. Prenatal depression, anxiety and stress disorders are prominent in pregnant women living with human immunodeficiency virus (HIV) and highly associated with poor maternal and neonatal outcomes. Therefore this study aimed to assess the level of depression, anxiety, and stress among HIV-positive pregnant women in Ethiopia during the COVID-19 pandemic. METHODS: An institution-based cross-sectional study was conducted in Amhara region referral hospitals from 17 October 2020 to 1 March 2021. A systematic random sampling technique was used to select 423 eligible women. A structured, pretested and interviewer-administered questionnaire was employed to collect the data. A multivariable logistic regression analysis was implemented to identify factors associated with women's depression, anxiety and stress. Statistical association was certain based on the adjusted odds ratio (AOR) with its 95% confidence interval (CI) and p-values ≤0.05. RESULTS: Prenatal depression, anxiety and stress among HIV-positive pregnant women were 37.6% (95% CI 33 to 42.3), 42.1 (95% CI 37.7 to 46.7) and 34.8% (95% CI 30.3 to 39.2), respectively. Having an HIV-negative sexual partner (AOR 1.91 [95% CI 1.16 to 3.15]) and being on antiretroviral therapy >1 year (AOR 2.18 [95% CI 1.41 to 3.36]) were found to be statistically significant with women's antenatal depression, while unplanned pregnancy (AOR 1.09 [95% CI 1.02 to 2.33]) and did not discuss with the sexual partner about HIV (AOR 3.21 [95% CI 2.12 to 7.07]) were the factors associated with prenatal anxiety. CONCLUSIONS: In this study, more than one in three HIV-positive pregnant women had depression and anxiety. Thus, implementing strategies to prevent unplanned pregnancy and advocating open discussion with sexual partners about HIV will play a large role in reducing pregnancy-related depression and anxiety.

Implementation of a brief online skills group of dialectical behaviour therapy for emotional dysregulation in Latinx: a withdrawal experimental single-case design.

BACKGROUND: Dialectical behaviour therapy (DBT) skills groups have shown promise as an effective treatment for clients with emotional dysregulation, especially when combined with individual DBT. However, their efficacy is not well established as an online therapy, or in the Latinx population. AIMS: This study aimed to explore satisfaction, retention and effects of an internet-based DBT group added to individual online sessions. METHOD: An ABAB withdrawal experimental single-case design was conducted to evaluate the effect of a brief online DBT skills group on emotional dysregulation, anxiety and depression for five Latinx participants. DBT skills group (phase B) were compared with placebo group sessions (phase A) and fortnightly individual DBT sessions were offered throughout to manage risk. RESULTS: Visual inspection showed a decrease in level of emotional dysregulation and a large effect size according to the Nonoverlap of All Pairs when comparing group DBT and placebo phases. Although depression symptoms decreased after introducing group DBT, anxiety indicators decreased most during the second round of group placebo sessions. DISCUSSION: Whilst only a pilot, this study suggests that online group DBT in Latinx populations is feasible and effective for changing emotional regulation processes but may not effectively target anxiety. Future research might increase the number of DBT sessions in order to enhance learning opportunities and generalization. Replication with larger sample sizes and diverse modalities is needed.

Psychiatric and non-psychiatric population vulnerabilities in time of a crisis: the unsuspected aggression factor.

OBJECTIVES: In March 2020, France faced a health crisis due to the COVID-19 outbreak that, like previous infectious disease crises, involved high psychological and emotional stress, a series of factors that influenced the ongoing mental health crisis. METHODS: We recruited 384 respondents to complete an online questionnaire during the second month of isolation: 176 psychotherapy recipients (68 were currently attending psychiatric care) and 208 healthy controls. We measured demographic characteristics, impulsivity, aggression, hopelessness, suicidal risk, and the global level of anxiety and depression in order to estimate potential discrepancies in clinical measures across these populations. RESULTS: Our results indicate that the group currently undergoing psychiatric care was prone to loneliness and social isolation. Regarding clinical and nonclinical population, there were differences in suicidal risk, depression, anxiety, and hopelessness but mainly in aggression. Regression analysis also demonstrated that aggression surprisingly influenced anxiety levels. Patients undergoing therapy compared with patients who were not displayed differences only in suicidal risk, anxiety, and hopelessness, with those undergoing therapy having higher scores. The outpatient group undergoing therapy had a significantly lower level of impulsivity. Moreover, the regression to predict anxiety and depression levels from correlated factors highlighted the potentially heightened role of aggression in predicting anxiety in the clinical group. CONCLUSION: New research into stress reactions should assess other clinical signals, such as aggression, and examine preventive mental health interventions in times of crisis.

Behavioral and psychosocial factors and their effects on insomnia among people undergoing entry quarantine in hotels during COVID-19 pandemic: a cross-sectional study in Guangzhou, China.

BACKGROUND: The COVID-19 pandemic continues to impact global health and China requires a 14-day quarantine for individuals on flights with positive COVID-19 cases. This quarantine can impact mental well-being, including sleep. This study aims to examine the impact of psychosocial and behavioral factors on insomnia among individuals undergoing quarantine in hotels. METHODS: This study was a cross-sectional survey carried out in Guangzhou, China. The data was gathered through online questionnaires distributed to international passengers who arrived in Guangzhou on flights and were required to undergo a 14-day quarantine in hotels arranged by the local government. The questionnaires were sent to the participants through the government health hotline "12,320." RESULTS: Of the 1003 passengers who were quarantined, 6.7% reported significant anxiety and 25.0% had varying degrees of insomnia. Anxiety was positively associated with insomnia (ß = 0.92, P < 0.001), while collectivism (ß = -0.07, P = 0.036), indoor exercise (ß = -0.50, P < 0.001), and the perceived people orientation of the public health service (ß = -0.20, P = 0.001) were negatively associated with insomnia. The study also identified moderating effects, such that a higher sense of collectivism, a greater frequency of indoor exercise, and a higher perception of the people-oriented of the public health service were associated with a lower impact of anxiety on insomnia. These moderating effects were also observed in participants with varying degrees of insomnia. CONCLUSIONS: This study reveals that a proportion of people undergoing entry quarantine experience insomnia and confirms how psychosocial and behavioral factors can alleviate insomnia in this population.