The Impact of Smoking on the Mental Health of male Athletes Participating in Official Competitions

Background and Objectives: The investigation of the psychosomatic symptoms in women residing in developing countries is still emerging. To be precise, the prevalence and correlates of severe fibromyalgia, depression, anxiety, and insomnia are understudied in Arab women, as these symptoms could relate to improper self-medication. This study mainly investigated the association between self-medication with analgesics and fibromyalgia, depression, anxiety, and insomnia symptoms among a community-based cohort of females in Jordan. Materials and Methods: We used a web-based cross-sectional study design. Fibromyalgia, depression, anxiety, and insomnia were assessed using validated scales. The used over-the-counter (OTC) painkillers were recorded. Results: Data were analyzed from 741 women, and fibromyalgia was screened in 16.4%, depression in 37.4%, anxiety in 27.8%, and insomnia in 38.3%. Fibromyalgia was associated with "married" (OR = 1.5, 95% CI = 1.017-2.305), "using OTC acetaminophen" (OR = 1.75, 95% CI = 1.15-2.69), "using herbal remedies" (OR = 2.02, 95% CI = 1.33-3.07), and "using antiseizure medications" (OR = 2.43, 95% CI = 1.38-4.28). Severe depression was significantly associated with "age" (OR = 0.97, 95% CI = 0.96-0.99), "high school education" (OR = 1.90, 95% CI = 1.21-2.98), "smoking" (OR = 1.72, 95% CI = 1.15-2.56), "OTC acetaminophen" (OR = 1.40, 95% CI = 1.02-1.92), "OTC non-steroidal anti-inflammatory drugs" (OR = 1.75, 95% CI = 1.15-2.65), and "antiseizures" (OR = 2.19, 95% CI = 1.30-3.70). Severe anxiety was significantly associated with "smoking" (OR = 2.08, 95% CI = 1.40-3.12), "OTC acetaminophen" (OR = 1.48, 95% CI = 1.06-2.06), and "antiseizure medications" (OR = 2.04, 95% CI = 1.22-3.41). Severe insomnia was significantly associated with "age" (OR = 0.98, 95% CI = 0.96-0.99), "high school education" (OR = 1.58, 95% CI = 1.01-2.47), "smoking" (OR = 1.51, 95% CI = 1.01-2.25), "OTC non-steroidal anti-inflammatory drugs" (OR = 1.74, 95% CI = 1.13-2.64), "antiseizure medications" (OR = 1.84, 95% CI = 1.09-3.11), and "No analgesics" (OR = 0.48, 95% CI = 0.32-0.71). Conclusions: Self-medication with analgesics is associated with a high burden of psychosomatic symptoms in Arab women, and awareness campaigns are required to guide self-medication behavior.

Background:The coronavirus-19 (COVID-19) pandemic is having negative effects on societies’ mental health, particularly health care workers who are exposed to tremendous psychological stress.Objectives:To assess the magnitude of mental health outcomes...

Community connectedness, outness, and internalized phobia are potential protective and risk factors for mental health in lesbian, gay, bisexual, transgender, and queer (LGBTQ) individuals. However, these interrelated factors have generally been examined in isolation and for the LGBTQ community in aggregate. As such, there may be undetected effects of factors on mental health for each LGBTQ group. We examined the associations between mental health (i.e., depression and anxiety) and risk/protective factors (i.e., internalized phobia, community connectedness, outness) in each LGBTQ subgroup separately. A large national U.S. sample ( N = 1,030) of individuals who identified as LGBTQ completed an anonymous Internet survey during fall 2019. Participants answered questionnaires about community connectedness, outness, internalized homophobia or transphobia, anxiety, and depression. On average, most subgroups reported symptoms of depression and anxiety above clinical cutoffs. Less outness and greater internalized phobia were associated with more severe depression and anxiety, but this pattern was not consistent across LGBTQ subgroups. Greater community connectedness was generally associated with more severe anxiety and depression. LGBTQ subgroups vary in how risk and protective factors relate to mental health outcomes. Our findings highlight the importance of examining LGBTQ subgroups separately and examining risk/protective factors simultaneously to identify the unique contribution of each factor. More research is needed to understand potential LGBTQ mental health risks and protective factors, and future researchers should examine the unique roles of risk and protective factors in separate LGBTQ subgroups.

Wang, Luyao, Bo Zhou, Chenghui Yang, Shuya Pan, Yulan Huang, and Jinyu Wang. The effect of ultrahigh altitude on the mental health of civil servants in western China based on propensity score matching. High Alt Med Biol. 24:193-200, 2023. Objective: This study aims to analyze the net effect of ultrahigh altitude on the mental health of civil servants in western China after adjusting for sociodemographic factors. Methods: A cross-sectional study was performed to survey the mental health of 2,939 civil servants working at an altitude of more than 1,500 m in 13 areas of the Tibetan Qiang Autonomous Prefecture of Ngawa using the Insomnia Severity Index Questionnaire, 7-item Generalized Anxiety Disorder Scale, and Patient Health Questionnaire-9. Ultrahigh altitude refers to an area above 3,500 m above sea level, which may have an impact on the sleep and mood of residents. Therefore, our research was divided into two groups based on altitude (ultrahigh altitude >3,500 m; high altitude = 1,500-3,400 m). Propensity score matching (PSM) was used to control for sociodemographic factors and compare the differences in mental health between the two groups. Results: After kernel matching, the mean bias of the covariates was reduced from 21.6 to 1.8. The severity of insomnia, depression, and anxiety in civil servants at ultrahigh altitudes was still significantly greater than that in civil servants at high altitudes after controlling for sociodemographic factors, and the average treatment effects on the treated were 1.39, 1.35, and 0.80, respectively; the results were significant (α < 0.01). PSM regression analysis further showed that for every 100 m increase in altitude, the severity of anxiety, depression, and insomnia increased by 0.042 points (p < 0.001), 0.063 points (p < 0.001), and 0.070 points (p < 0.001), respectively, all of which were higher than those obtained with ordinary least squares regression. Conclusion: Ultrahigh altitude significantly increases the severity of insomnia, depression, and anxiety after adjusting for sociodemographic factors.

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Rapid diagnostic clinics (RDCs) provide a streamlined holistic pathway for patients presenting with non-site specific (NSS) symptoms concerning of malignancy. The current study aimed to: 1) assess the prevalence of anxiety and depression, and 2) identify a combination of patient characteristics and symptoms associated with severe anxiety and depression at Guy's and St Thomas' Foundation Trust (GSTT) RDC in Southeast London. Additionally, we compared standard statistical methods with machine learning algorithms for predicting severe anxiety and depression. Patients seen at GSTT RDC between June 2019 and January 2023 completed the General Anxiety Disorder Questionnaire (GAD-7) and Patient Health Questionnaire (PHQ-8) questionnaires, at baseline. We used logistic regression (LR) and 2 machine learning (ML) algorithms (random forest (RF), support vector machine (SVM)) to predict risk of severe anxiety and severe depression. The models were constructed using a set of sociodemographic and clinical variables. A total of 1734 patients completed GAD-7 and PHQ-8 questionnaires. Of these, the mean age was 59 years (Standard Deviation: 15.5), and 61.5% (n:1067) were female. Prevalence of severe anxiety (GAD-7 score ≥15) was 13.8% and severe depression (PHQ-8 score≥20) was 9.3%. LR showed that a combination of previous mental health condition (PMH, Adjusted Odds Rario (AOR) 3.28; 95% confidence interval (CI) 2.36-4.56), symptom duration >6 months (AOR 2.20; 95%CI 1.28-3.77), weight loss (AOR 1.88; 95% CI 1.36-2.61), progressive pain (AOR 1.71; 95%CI 1.26-2.32), and fatigue (AOR 1.36; 95%CI 1.01-1.84), was positively associated with severe anxiety. Likewise, a combination PMH condition (AOR 3.95; 95%CI 2.17-5.75), fatigue (AOR 2.11; 95%CI 1.47-3.01), symptom duration >6 months (AOR 1.98; 95%CI 1.06-3.68), weight loss (AOR 1.66; 95%CI 1.13-2.44), and progressive pain (AOR 1.50; 95%CI 1.04-2.16), was positively associated with severe depression. LR and SVM had highest accuracy levels for severe anxiety (LR: 86%, SVM: 85%) and severe depression (SVM: 89%, LR: 86%). High prevalence of severe anxiety and severe depression was found. PMH, fatigue, weight loss, progressive pain, and symptoms >6 months emerged as combined risk factors for both these psychological comorbidities. RDCs offer an opportunity to alleviate distress in patients with concerning symptoms by expediting diagnostic evaluations.

Stress, anxiety, and depression in tourism workers have increased during the COVID-19 pandemic, which are mental health problems that need to be watched out for. Mental health has become one of the most significant problems in the world, including Indonesia, especially during the COVID-19 pandemic. Seeing the significant role of mental health disorders in tourism workers accompanied by stress, anxiety, and depression can have an impact on the health of human resources in the tourism sector. The purpose of this study was to determine the level of stress, anxiety, and depression in tourism workers in the province of Bali during the COVID-19 pandemic. The sample of this study was 103 people aged 18-60 years who are active tourism workers in the Province of Bali, which was selected by convenience sampling using Google Forms. The research method was cross-sectional and analyzed using SPSS version 27. The study results showed that most of the research samples experienced severe stress, as many as 38 (36.9%). The majority of the study sample experienced very severe anxiety with 74 people (71.8%). Most of the research samples experienced very severe depression, with 65 respondents (63.1%). In conclusion, tourism sector workers suffer severe stress, anxiety, and depression during the COVID-19 pandemic.

Research ObjectiveThere has been a documented rise of racism and hostility towards Asian Pacific Islanders (API) groups across the nation. With the anticipated population‐level increase in mental health issues as a result of COVID‐19, API college students are an especially high risk group to consider as API young and emerging adults tend to report similar levels of depression and anxiety symptoms compared with their peers, but underutilize service relative to their level of need. The objective of this presentation is to understand the impact of the pandemic on API mental health using large‐scale data, by evaluating pre‐pandemic (Fall 2019), initial months of the pandemic (March‐May 2020) and recent pandemic (Fall 2020) trends in API mental health and treatment utilization, as well as discussing the public health implications in higher education settings for API student populations.Study DesignData comes from 3 administrations of the Healthy Minds Study: Sept‐Dec 2019 (n=33,372 students across 32 campuses), March‐May 2020 (n=12,039 students across 7 campuses) and Sept‐Dec 2020 (n=15,949 students across 28 campuses). This data represents the largest and most comprehensive nationally recognized assessment of API student mental health symptoms, help‐seeking behavior and experiences of discrimination directly related to COVID‐19. We used bi‐variate analyses to compare mental health symptoms and treatment utilization across API students who identified as international students and those who reported US citizenship or permanent residency in the US. We used cross‐sectional logistic regression models to assess the association between discrimination and mental health symptoms and help‐seeking behavior.Population StudiedYoung and emerging adults who identify as Asian or Pacific Islander and are enrolled at a college or university in the United States.Principal FindingsComparing Fall 2019 to Fall 2020, we found that API non‐international students reported a 23% increase in severe anxiety, a 10% increase in moderate or severe anxiety, and a 9% increase in severe depression; API international students reported a 16% increase in severe depression and a 12% increase in severe anxiety. In Spring 2020, 22% of API students experienced COVID‐related discrimination or hostility (25% in Fall 2020). COVID‐related discrimination or hostility was associated with greater odds of meeting the criteria for one or more clinically significant mental health conditions [aOR: 1.83; 95% CI: 1.35‐2.49; p=0.000]. Treatment utilization among Asian students with at least one clinically significant mental health condition decreased by 26% between Fall 2019 and Spring 2020.ConclusionsThroughout the COVID‐19 pandemic, both API international and non‐international students reported increases in mental health symptoms and decreases in treatment utilization. Our analyses also suggest that COVID‐related discrimination is correlated with greater odds of clinically significant mental health symptoms as well decreased help‐seeking.Implications for Policy or PracticeThe racialization of COVID‐19 has the potential to produce long‐lasting effects on attitudes towards API populations. Culturally tailored psychoeducation, collaborative care models and active recruitment of diverse and culturally‐competent mental health providers are potential avenues to facilitate help‐seeking. Given the mental health challenges that API populations are facing, it will be crucial to make an active effort towards resolving mental health treatment disparities already looming in API communities.

Children with overweight or obesity are more likely to experience sleep disorders, although the role of weight in pediatric insomnia treatment has not been examined. The current study examined the relationships of high body mass with pretreatment insomnia severity and global sleep problems and the potential moderating impact of weight on changes in insomnia severity following insomnia treatment. Participants included 1,133 youth ages 2-18 years clinically referred for insomnia treatment. The Pediatric Insomnia Severity Index was collected at the initial assessment and throughout treatment as part of routine clinical care. Treatment status was coded as no treatment, early termination, and completed treatment. Secondary measures of global sleep problems at the initial assessment included the Adolescent Sleep Wake Scale, Adolescent Sleep Hygiene Scale, and Children's Sleep Habits Questionnaire. Medical chart review of visits within ± 3 months of baseline was used to obtain age-adjusted and sex-adjusted body mass index Z-score. Among adolescents, regression analyses found that higher body mass index Z-score modestly predicted baseline insomnia severity (P = .021) and worse sleep hygiene (P < .001). For children, higher body mass index Z-score was modestly associated with baseline total sleep problems (P = .006) but not insomnia severity (P = .792). Across ages, body mass index Z-score predicted neither treatment status nor insomnia improvement (P > .05). Findings were similar in categorical analyses comparing patients with overweight/obesity to healthy weight. Although there is evidence that children of higher body mass present for insomnia treatment with greater sleep concerns, body mass does not predict treatment completion or insomnia improvement. Data suggest insomnia treatment is effective irrespective of weight status. Duraccio KM, Simmons DM, Beebe DW, Byars KC. Relationship of overweight and obesity to insomnia severity, sleep quality, and insomnia improvement in a clinically referred pediatric sample. J Clin Sleep Med. 2022;18(4):1083-1091.

Clinical Characteristics and Psychological Associations of Cancer Chemotherapy–Related Side Effects in Patients with Lung Cancer

ADJUSTMENT OF PROFESSIONAL TALENTS' INNOVATIVE PSYCHOLOGICAL QUALITY AND EMOTIONAL STABILITY UNDER OBE MODE

IntroductionThe COVID-19 related quarantine had negative psychological effects among University students. Evidence from previous epidemics suggests that negative psychological effects of quarantine measures can last or even worsen after the quarantine lift. The objective of this study was to assess the evolution of students' mental health and to identify factors associated with mental health outcomes 1 month after the lift of the lockdown.Materials and MethodsThis repeated cross-sectional study collected data during the first quarantine in France (T1, N = 68,891) and 1 month after its lift (T2, N = 22,540), through an online questionnaire sent to all French University students. Using cross-sectional data, we estimated prevalence rates of suicidal thoughts, severe anxiety (State-Trait Anxiety Inventory, State subscale), depression (Beck Depression Inventory), and stress (Perceived Stress Scale) at T1 and T2. Using longitudinal data (N = 6,346), we identified risk factors of poor mental health outcomes among sociodemographic characteristics, precariousness indicators, health-related data, information on the social environment, and media consumption, adjusting for baseline mental health status.ResultsWe found lower prevalence rates of severe stress (21.7%), anxiety (22.1%), and depression (13·9%) one month after the quarantine compared to the quarantine period (24.8%, 27.5%, and 16.1%, respectively). The prevalence rate of suicidal thoughts increased from 11.4 to 13.2%. Regardless of the existence of symptoms during quarantine, four factors were systematically associated with poor mental health outcomes 1 month after the quarantine was lifted: female gender, a low feeling of integration before the quarantine period, a low quality of social ties during the quarantine, and a history of psychiatric follow-up.ConclusionsThe prevalence rates of severe stress, anxiety, and depression, although being lower than during the first lockdown, remained high after its lift. The prevalence rate of suicidal ideation increased. This stresses the need to consider the enduring psychological impact of the pandemic on students as a critical public health issue.

Objectives In all types of pregnancies women experienced changes in their mental health and self-esteem condition. The aim of this study was to determine the effect of counseling on mental health and self-esteem following an ectopic pregnancy (EP). Study design This was a randomized controlled clinical trial on 68 pregnant women with EP referring to Al-Zahra hospital in Tabriz, Iran in 2018. The participants randomly allocated to counseling and control groups. Intervention group received four sessions of counseling including 1) providing medical information about EP and its physical and psychological complications; 2) explaining the syndrome of sadness after losing a pregnancy; 3) mental health and ways to improve it after pregnancy loss; and 4) self-esteem and how to increase it after losing a pregnancy and control group received only routine care. Before and 2 weeks after the end of the intervention, data were collected by the General Health Questionnaire-28 and Rosenberg self-esteem questionnaires. Data were analyzed using SPSS software. The registration number was IRCT20100109003027N41. Results There was no significant difference between the two groups in terms of sociodemographic characteristics and the scores of mental health and self-esteem before the intervention. Two weeks after the end of the intervention, the mean (SD) total score of mental health of women in counseling and control groups were 20.1 (5.0) and 32.9 (9.8), respectively. When compared with the control group, a significant reduction in the total score of mental health (adjusted difference = −11.27; 95% confidence interval: −15.19 to −7.34; p < .001) was observed in the counseling group. In counseling group compared with the control group, a significant increase in the total score of self-esteem (adjusted difference = 4.79; 95% confidence interval: 3.07–6.51; p < .001) was observed. Conclusions Providing counseling based on health promotion awareness by the midwife can help reduce mental health problems and increase self-esteem. For this reason, counseling should be considered as part of care after losing a pregnancy.

Depression and anxiety are prevalent psychiatric conditions and are associated with overactive bladder. The objective of this study was to determine prevalence and severity of anxiety and depression associated with overactive bladder (OAB) in women. 274 women with clinical diagnosis of OAB were recruited from 2012 to 2015. They were submitted to the International Consultation on Incontinence Questionnaire-Overactive Bladder (ICIQ-OAB), the Beck Depression Inventory (BDI), and the Beck Anxiety Inventory (BAI). Severe or moderate depression was present in 59.8% of women and severe or moderate anxiety was identified in 62.4%. Higher scores of depression and anxiety were associated with higher scores of ICIQ-OAB (P = 0.0031 and 0.0049). Women with severe depression had higher nocturia score than those with mild depression (P = 0.0046). Also, women with severe depression had higher urgency incontinence score than those with minimal depression (P = 0.0261). Patients with severe anxiety had higher nocturia score than those with minimal anxiety (P = 0.0118) and women with moderate anxiety had higher urgency incontinence score than with minimal anxiety (P = 0.0300). Moderate or severe depression and anxiety are prevalent in women with OAB. There is a correlation between intensity of OAB symptoms with depression and anxiety. Anxiety and depression levels are mainly related with urgency incontinence and nocturia.

The pandemic caused by Coronavirus-19 Disease (COVID-19) is having negative effects on healthcare workers (HCW) mental health due to the tremendous amount of stress to which they are exposed to. We aimed to assess the number of mental health outcomes among HCW treating patients with COVID-19. This cross-sectional study collected demographic data and mental health measurements from HCW in different hospitals using an online questionnaire. Participants were asked to complete the 9-item Patient Health Questionnaire (PHQ-9), the 7-item Insomnia Severity Index (ISI), and the 7-item Generalized Anxiety Disorder scale (GAD-7). One hundred and forty-one participants with a mean age of 30.6±25 years and a sex ratio of 0.3 completed the online questionnaire. Participants from major university-hospital centers of northern Tunisia were divided into two groups: 78% medical and 22% paramedical staff. Twenty-two participants (15.6%) had a chronic disease, and 21 (14.9%) had a history of depression. Nineteen (13.4%) of the participants were infected with COVID-19. Thirteen percent of participants experienced the same anxiety level as the first-time taking care of COVID-19 patients, while 65% were rather an at ease compared to the first time. Forty-seven percent of participants felt the need for psychological support, and 16.7% of them had consulted a psychiatrist. Mild depression was detected in 14.1% of cases, moderate depression in 4.2% of cases, and severe depression in 2.1% of cases. As for anxiety, 36.1% of participants suffered from mild anxiety, 14.9% from moderate anxiety, and 4.9% from severe anxiety. Mild insomnia was detected in 44.6% of cases, moderate insomnia in 14.9% of cases, and severe insomnia in 9.9% of cases. Female gender (depression: P=0.05; anxiety: P=0.05; insomnia: P=0.02), having friends or relatives with COVID (depression: P=0.01; anxiety: P=0.05), psychiatric illness (depression: P=0.05; anxiety: P=0.01; insomnia: P=0.01), and chronic disease (depression: P=0.02; anxiety: P=0.03) were significantly associated with more severe mental health symptoms. Tunisian HCW experienced psychological burdens and a high rate of anxiety, depression, and insomnia. HCW should be protected in order to promote mental well-being.