Screening For Mental Health Disorders Research Articles

Differences in mental health status between individuals living with diabetes, and pre-diabetes in Qatar: A cross-sectional study

AimsThe aims of this study was to determine the prevalence and to compare depression and anxiety screening scores by type of diabetes: type 2 diabetes mellitus (T2DM), type 1 diabetes mellitus (T1DM), and pre-diabetes. The secondary aim was to examine sex differences in screening scores by type of diabetes. MethodsThis cross-sectional study was conducted in Doha, Qatar using primary data collection (N = 150), and stratified random sampling at a diabetes primary healthcare center. The study tool collected demographic information and used validated mental health screening tools for depressive symptoms “Patient Health Questionnaire-9 (PHQ-9)", and for anxiety symptoms “Generalized Anxiety Disorder 7 (GAD-7)". ResultsThe prevalence of moderate to severe depressive and anxiety scores was highest in the prediabetes group (20 % and 14 % respectively). There were increased PHQ-9 scores in the pre-diabetes group compared to T2DM (p-value <0.05). No statistically significant differences in depressive symptom scores were found when comparing the pre-diabetes group with T1DM, and T1DM with T2DM. When looking at sex differences, there were no statistically significant differences between T1DM and pre-diabetes males and females, however PHQ-9 and GAD-7 scores in T2DM females were poorer compared to T2DM males. ConclusionThe results of our study found patients living with pre-diabetes, and females with T2DM are vulnerable populations who should be screened for mental health disorders. Early screening for mental health disorders for individuals diagnosed with prediabetes, T1DM, and T2DM should be routinely conducted to potentially improve health outcomes.

Depressive symptoms and their predictors among school-teachers in Southern Tunisia during the COVID-19 outbreak: A representative cross-sectional study

IntroductionTeachers’ mental health could be affected as a result of significant changes imposed by the COVID-19 pandemic, including everyday responsibilities outside of their profession. In this context, we aimed to explore the prevalence of depressive symptoms (DS) among school teachers in Sfax, Southern Tunisia, and to investigate their main determinants. MethodsIt was a cross-sectional study involving public-school-teachers of all levels: primary, middle and high schools in Sfax Governorate, Southern Tunisia between March and April 2021 during the third wave of COVID-19 pandemic. The DS were evaluated using a French validated 20-item-version of the self-reported Depression Scale of the Centre for Epidemiologic Studies Depression Scale (CES-D). A cut-off point of 16 was recommended to define DS. ResultsOf the 525 teachers, 292 cases were females (55.6%), 256 teachers (48.8%) worked at high-schools and 478 cases were married (91%). The teachers’ median age was 48 years (Interquartile range (IQR) = [41–53] years). There were 245 teachers (46.7%) suffering from DS. In the multivariate analysis, female gender (Adjusted Odds Ratio (AOR) = 2.3; p < 0.001), history of chronic diseases (AOR = 2.5; p < 0.001) and having close contact with COVID-19 cases (AOR = 1.4; p = 0.04) were independently associated with depressive symptoms. Besides, university educational level (AOR = 0.56; p = 0.015), perceived workplace safety (AOR = 0.4; p < 0.001), consumption of coffee (AOR = 0.5; p = 0.006) and regular mask wearing in public spaces (AOR = 0.52; p = 0.048) were independently associated with lower prevalence of DS among teachers. In the multivariate analysis, female gender (Adjusted Odds Ratio (AOR) = 2.3; p < 0.001), history of chronic diseases (AOR = 2.5; p < 0.001) and having close contact with COVID-19 cases (AOR = 1.4; p = 0.04) were independently associated with depressive symptoms. Besides, university educational level (AOR = 0.56; p = 0.015), perceived workplace safety (AOR = 0.4; p < 0.001), consumption of coffee (AOR = 0.5; p = 0.006) and regular mask wearing in public spaces (AOR = 0.52; p = 0.048) were independently associated with lower prevalence of DS among teachers. ConclusionPersonal, occupational and pandemic-related factors were found to be associated with higher risk of DS among teachers. Therefore, promoting awareness through offering psychological assistance and educational sessions about screening of mental health disorders among teachers is crucial for early detection and management.

Association of Disease Characteristics with Utilization of Behavioral Medicine in Patients with NMOSD and MOGAD (P13-5.016)

<h3>Objective:</h3> To evaluate utilization of behavioral medicine in patients with neuromyelitis optica spectrum disorder (NMOSD) and myelin oligodendrocyte glycoprotein-IgG-associated disorder (MOGAD). <h3>Background:</h3> The relationship between disease characteristics, utilization of behavioral medicine, and other healthcare services has not been well-characterized in patients with NMOSD/MOGAD. <h3>Design/Methods:</h3> In this retrospective cohort study, patients with NMOSD/MOGAD confirmed by a neuroimmunology clinic with available clinical data between June 2015 and April 2022 were identified. Relevant variables were collected, including number of behavioral medicine appointments, diagnosis, number of other healthcare visits (admissions, emergency room visits, neurology appointments, outpatient physical and occupational therapy [PT/OT] visits), and number and type of relapses (brainstem, transverse myelitis, and optic neuritis). Nonparametric t-tests were performed to compare characteristics of patients who did and did not use behavioral medicine. Pearson correlations were used to explore relationships between disease characteristics and number of behavioral medicine appointments. <h3>Results:</h3> 196 patients (70.9% NMOSD [92.8% aquaporin-4 antibody positive], 29.1% MOGAD) were identified (median duration of symptoms 8.4 years, IQR [4.6, 16.4 years]). Of these, 21 patients (90.5% NMOSD, 9.5% MOGAD) attended at least one outpatient behavioral medicine appointment. These patients had more emergency room visits (median 3, IQR [1, 8]) than non-attendees (median 1, IQR [0, 2]) (p = .04). No significant difference was detected regarding number or type of relapse or utilization of other healthcare services (for all, p &gt; .05). Brainstem flares and number of PT/OT visits correlated with number of behavioral medicine appointments (r = .72 and r = .56, respectively, p &lt; .05). <h3>Conclusions:</h3> Patients with NMOSD/MOGAD who received behavioral medicine services had greater emergency room utilization than those who did not. In our cohort, nearly 1 in 8 patients attended behavioral medicine appointments. Screening for mental health disorders in neurology clinics remains critical to appropriately identify and treat NMOSD/MOGAD patients with behavioral comorbidities. <b>Disclosure:</b> An immediate family member of Dr. Swetlik has received personal compensation for serving as an employee of Pfizer. Dr. Conway has received personal compensation in the range of $500-$4,999 for serving as a Consultant for Novartis Pharmaceuticals. Dr. Conway has received personal compensation in the range of $500-$4,999 for serving as a Consultant for Banner Life Sciences. Dr. Conway has received personal compensation in the range of $10,000-$49,999 for serving on a Speakers Bureau for Biogen. Miss Widmar has nothing to disclose. Dr. Kunchok has received personal compensation in the range of $500-$4,999 for serving on a Scientific Advisory or Data Safety Monitoring board for Genentech. Dr. Kunchok has received personal compensation in the range of $500-$4,999 for serving on a Scientific Advisory or Data Safety Monitoring board for Horizon therapeutics . Dr. Kunchok has received personal compensation in the range of $10,000-$49,999 for serving as an Editor, Associate Editor, or Editorial Advisory Board Member for Neurology. Dr. Tworek has nothing to disclose. Dr. Sullivan has received personal compensation in the range of $5,000-$9,999 for serving as a Consultant for Novartis. Dr. Sullivan has received personal compensation in the range of $500-$4,999 for serving as a Consultant for Bristol-Myers Squibb. Dr. Sullivan has received personal compensation in the range of $500-$4,999 for serving as a Consultant for Biogen. Dr. Sullivan has received personal compensation in the range of $500-$4,999 for serving as an Editor, Associate Editor, or Editorial Advisory Board Member for Dynamed. Rachel Galioto has nothing to disclose. Dr. Aboseif has a non-compensated relationship as a AAN Autoimmune Neurology Section -- Education Workgroup with AAN that is relevant to AAN interests or activities. Dr. Abbatemarco has received personal compensation in the range of $500-$4,999 for serving on a Scientific Advisory or Data Safety Monitoring board for EMD Serono. Dr. Abbatemarco has received personal compensation in the range of $500-$4,999 for serving on a Scientific Advisory or Data Safety Monitoring board for Horizon. Dr. Abbatemarco has received personal compensation in the range of $5,000-$9,999 for serving on a Scientific Advisory or Data Safety Monitoring board for Genentech . The institution of Dr. Abbatemarco has received research support from Horizon.

Screening for Mental Health Disorders among Adults Using the Primary Care Evaluation of Mental Disorders Patient Health Questionnaire: A Community-based Study

Abstract Background: Screening the adult population for mental disorders is essential for early diagnosis and prompt treatment. The current study aimed to assess adults’ prevalence and predictors of mental health disorders. Methodology: This community-based, cross-sectional study was conducted among 1056 adults. After obtaining their written informed consent, trained workers administered the Primary Care Evaluation of Mental Disorders Patient Health Questionnaire. Data were analyzed using Epi Info software for Windows. Results: Out of 1056 study participants, 121 (11.5%) suffered from any mental health disorder. The most common mental health disorder was depression (5.1%), followed by anxiety (4.6%), somatoform disorder (2.8%), probable alcohol abuse (1.8%), and panic disorder (1.5%). In the logistic regression model, the odds of suffering from any mental health disorder were significantly higher among those having a chronic disease (odds ratio [OR] =1.8 [1.1–2.9]) and currently consuming tobacco (OR = 2.0 [1.2–3.3]), as compared to their counterparts. Conclusion: Around one-tenth of the study population suffered from any mental health disorder, the most common being depression. It is imperative that the general population be made aware of the signs and symptoms of mental health problems. Patients should be encouraged to seek early treatment for their mental health problems.

Usefulness of a Mobile Application (Mentali) for Anxiety and Depression Screening in Medical Students and Description of the Associated Triggering Factors.

The impact of the COVID-19 health crisis on the mental health of the population requires the implementation of new primary screening strategies of mental health disorders to intervene in a timelier manner, and technology may provide solutions. We aimed to evaluate the usefulness of the mobile app Mentali (version 1.1.2; creators: Jorge Alfonso Solís Galván Sodel Vázquez Reyes, Margarita de la Luz Martínez Fierro, Perla Velasco Elizondo, Idalia Garza Veloz, Alejandro Mauricio González and Claudia Caldera Villalobos, Zacatecas, México) as a primary screening tool for anxiety and depression disorders in medical students and to assess the triggering risk factors. This was a descriptive and longitudinal study and included 155 Mexican medical students. Participants interacted with Mentali for 6 months. The mobile app integrated the Beck anxiety and depression inventories together with a mood module. At the end of the interaction, the students received psychological and psychiatric interventions to confirm their primary diagnoses. Symptoms of moderate/severe anxiety and depression were present in 62.6% and 54.6% of the studied population. When corroborating the diagnoses, Mentali obtained a sensitivity of 100%, 95%, and 43% to classify a mental health disorder, anxiety, and depression, respectively. The most important triggers found were as follows: belonging to a dysfunctional family, being introverted, and having suffered from bullying. The proportion of users with excellent/good mood decreased from 78.7% to 34.4% at the end of the semester, and the proportion of users who claimed to have bad/very bad mood increased from 7.4% to 34.4% at the end of the semester (p < 0.05). Mentali was useful for identifying users with anxiety and/or depression, and as an auxiliary tool to coordinate the provision of specialized interventions, allowing us to increase the proportion of patients who needed psychological care and received it by 30%. The efficacy of Mentali in identifying activities through time with an impact on the mood and mental health of the users was confirmed. Our results support the use of Mentali for the primary screening of mental health disorders in young adults, including medical students.

1433P Screening for mental health disorders and neurochemical correlates in gynecology cancer survivors: A cross-sectional study from a tertiary care center in India

Mental health issues are under-evaluated and under-treated in gynaecological cancer survivors. Information on the prevalence and neurological correlates of these psychological issues, will help in planning of targeted treatment strategies for this problem. The aim of this study to screen gynaecological cancer survivors for mental health issues and to correlate it with serum neurochemical biomarkers.

Investigating the Feasibility of Assessing Depression Severity and Valence-Arousal with Wearable Sensors Using Discrete Wavelet Transforms and Machine Learning

Depression is one of the most common mental health disorders, affecting approximately 280 million people worldwide. This condition is defined as emotional dysregulation resulting in persistent feelings of sadness, loss of interest and inability to experience pleasure. Early detection can facilitate timely intervention in the form of psychological therapy and/or medication. With the widespread public adoption of wearable devices such as smartwatches and fitness trackers, it is becoming increasingly possible to gain insights relating the mental states of individuals in an unobtrusive manner within free-living conditions. This work presents a machine learning (ML) approach that utilizes retrospectively collected data-derived consumer-grade wearables for passive detection of depression severity. The experiments conducted in this work reveal that multimodal analysis of physiological signals in terms of their discrete wavelet transform (DWT) features exhibit considerably better performance than unimodal scenarios. Additionally, we conduct experiments to view the impact of severity on emotional valence-arousal detection. We believe that our work has implications towards guiding development in the domain of multimodal wearable-based screening of mental health disorders and necessitates appropriate treatment interventions.

Acceptance, experiences, and needs of hospitalized pregnant women toward an electronic mindfulness-based intervention: A pilot mixed-methods study.

BackgroundAnxiety disorders and depression during pregnancy are highly prevalent. Hospitalized pregnant women with high maternal or fetal risk represent a particularly vulnerable population often excluded from research samples. Screening for mental health disorders is not routinely offered for this particular patient group. Electronic mindfulness-based interventions constitute an accessible, convenient, and cost-effective mental health resource but have not yet been evaluated for acceptance in inpatient settings. To date, little is known about the needs and perceptions of this group of women.ObjectiveThe aim of this study was to examine whether a brief electronic mindfulness-based intervention (eMBI) is accepted among hospitalized high-risk pregnant women. We assessed personal motivation and barriers, experiences, usability requirements, and overall acceptance of the eMBI, as well the specific needs and demands of patients with high-risk pregnancies regarding mental health services.MethodsAn exploratory pilot study with a mixed-methods study design was carried out among 30 women hospitalized with a high obstetric risk. The study participants were given access to an eMBI with a 1-week mindfulness program on how to deal with stress, anxiety, and depressive symptoms. Semi-structured interviews were conducted with the 30 participants and analyzed using systematic content analysis. In addition, acceptance and usability were assessed via questionnaires.ResultsStudy findings showed a high level of acceptance of the eMBI. Most of the respondents were satisfied with the usability and considered the eMBI program to be helpful. The greatest barriers to using the eMBI were a general negative attitude toward using apps, preference for personal contact, or no current need for psychotherapy. Participants criticized the lack of awareness of mental health issues during pregnancy and expressed a need for low-threshold treatment offers, especially during hospitalization.ConclusionsThere is a strong need for mental health services in pregnancy care, especially for pregnant women with risk profiles. An eMBI offers an acceptable means of providing mental health support for hospitalized women with a severe obstetric risk.

Un recurso para atención primaria de la salud mental. DASS-21, propiedades psicométricas

Objective. Determine the psychometric characteristics of DASS-21 and identify its advantages as an aid in the diagnosis and screening of mental health disorders (depression, anxiety and stress). Materials and methods. Descriptive and cross-sectional study. The sample was non-probabilistic of 964 university students from different regions of Colombia who met the selection criteria and answered the questionnaire. Using Cronbach's Alfa, the internal consistency of the questionnaire was measured and exploratory factor analysis was applied for the validation of the construct, using a methodology of main axes with varimax factor rotation. To establish the number of factors to be conserved, the Kaiser criterion was used. It was considered significant with p value &lt;0.05. Results. The questionnaire was answered by 964 students. Reliability characteristics were corroborated (Cronbach's Alpha obtained for the total of 21 items a value of 0.93) and in the subscales obtained values higher than 0.8 (depression 0.85, anxiety 0.82 and stress 0.85). To determine the suitability of carrying out the factor analysis, the Bartlett sphericity test was performed, which yielded a p &lt; value 0.0001, was later calculated the measure of adequacy of the Kaiser sample, called Kaiser-Meyer-Olkin (KMO), whose value was 0.95, expressing that it is appropriate to perform the factor analysis. Conclusions. Its use at the primary level of health care is recommended, both to support the diagnosis and as a follow-up criterion in patients with depression, anxiety and stress.

Identification of Anxiety and Depression Among Adolescent Kidney Transplant Recipients: A Cross-Sectional Observational Study.

Studies demonstrate an association between mental health disorders and organ transplantation, with adolescents five times more likely to experience anxiety and depression than their nontransplant peers. The purpose of this study is to describe the prevalence of anxiety and depression in adolescent kidney transplant recipients using standardized mental health screening tools. The standardized screening tools, generalized anxiety disorder-7 for anxiety and Patient Health Questionnaire-9 for depression, were administered over 6 months to kidney transplant recipients aged 12-21 years during the transplant clinic visit. Mental health screening increased by 74.0%. Patients reported mild to moderate anxiety at 46.4% and depression at 35.7%. Routine screening for mental health disorders in the transplant clinic allows for early identification of anxiety and depression, prompt referrals to a mental health professional, and improved health outcomes in adolescent kidney transplant recipients.

The Onset of Depression in Middle-Aged Presumed Healthy Slovenian Family Practice Attendees and Its Associations with Genetic Risk Assessment, Quality of Life and Health Status: A Contribution for Family Medicine Practitioners’ Early Detection

Despite depression being a major driver of morbidity and mortality, the majority of primary care patients remain undiagnosed, so this study aimed to assess the prevalence of depression and the association with demographic and clinical variables, genetic risk, and quality of life. The participants were presumably healthy model family medicine practice (MFMP) attendees between 30 and 65 years of age and recruited during a preventive check-up in 2019. Each of the 40 pre-selected MFMP pragmatically invited 30 attendees to voluntarily participate. They completed a questionnaire of demographic, clinical, and social determinants, as well as a three-generational family history. The results were analyzed using multivariable modelling to calculate the associations with signs of depression. A modified Scheuner method was used to calculate the level genetic risk level using family history. Of 968 participants, aged 42.8 ± 8.6 years, 627 (64.8%) were women. The prevalence of depression was 4.1%. Signs of depression were negatively associated with health-related quality of life score, in particular in the domains of self-care (p = 0.001) and anxiety/depression (p < 0.001). Depression was also associated with predicted high risk for comorbidities given the family history (p = 0.030). Primary care directed at improving patients’ quality of life should implement more widespread screening for mental health disorders. Family history for disease even beyond depression can be used by physicians as an important primary prevention tool.

Mixed-methods assessment of health and mental health characteristics and barriers to healthcare for Ebola survivors in Beni, Butembo and Katwa health zones of the Democratic Republic of Congo

ObjectivesHealth and mental health characteristics of all respondents, barriers to accessing health and mental health services and the characteristics and those most at risk for mental health disorders.SettingBeni, Butembo and...

Risk factors for stress among police officers: A systematic literature review.

Stress is common among police personnel leading to several negative consequences. We performed a systematic literature review to identify risk factors for stress among police officers. We searched PubMed and Scopus electronic databases through to July 2018 and we conducted this review according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. The Newcastle-Ottawa scale was used for studies quality assessment. After selection, 29 cross-sectional studies met the inclusion criteria and included in the review. The average quality of studies was low since no study was rated as having low risk of bias, three studies (10.3%) as moderate risk and 26 studies (89.7%) were rated as having high risk of bias. Stress risk factors were summarized in the following categories: demographic characteristics; job characteristics; lifestyle factors; negative coping strategies and negative personality traits. Identification of stress risk factors is the first step to create and adopt the appropriate interventions to decrease stress among police personnel. The early identification of police officers at higher risk and the appropriate screening for mental health disorders is crucial to prevent disease and promote quality of life.

Caring for caregivers: the impact of the COVID-19 pandemic on those responsible for children and adolescents with type 1 diabetes

This study aimed to assess the psychological impact of the COVID-19 pandemic on guardians of children and adolescents with type 1 diabetes. An online survey was performed to assess the prevalence of pandemic-related emotional burden, mental health disorders and diabetes-specific emotional burden related to diabetes care during the COVID-19 pandemic. Caregivers of children and adolescents with diabetes under the age of 18 and caregivers of youth without diabetes for the non-diabetes group were invited to participate. For the primary outcome, mental health disorders were evaluated using the Self-Reporting Questionnaire (SRQ-20), while pandemic-related emotional burden and diabetes-specific emotional burden related to diabetes care were evaluated in different domains with specific questions. For analyses, a hierarchical testing strategy was performed. A total of 764 participants were included in the study. Regarding the pandemic period, caregivers of youth with type 1 diabetes endorsed significantly more pandemic-related emotional burden for both themselves (OR 1.67; 95% CI, 1.10 to 2.53) and for their child (OR 2.28; 95% CI, 1.54 to 3.38) when compared to the non-diabetes group. The emotional burden evaluation on different age ranges showed that the two groups were similar when the dependent youth was younger than 6 years. Moreover, a positive screening for mental health disorders during social distancing was higher in the diabetes group compared to the non-diabetes group (OR 2.43; 95% CI, 1.70 to 3.47), particularly in those aged under 12 years old. There was no difference between groups in mental health disorders among caregivers of adolescents older than 12 years. Our results allow to conclude that concern, burden and mental health disorders can be present in caregivers of youth with diabetes, and behavioral changes during the COVID-19 pandemic may enhance this situation.

Telehealth strategy tomitigatethe negativepsychological impact of the COVID-19 pandemic on type 2 diabetes: A randomized controlled trial.

AimsTo assess the impact of teleintervention on mental health parameters in type 2 diabetes patients during the coronavirus disease 2019 (COVID-19) pandemic.MethodsThis is a controlled randomized trial for a multidisciplinary telehealth intervention in Southern Brazil, with social distancing measures. Adults aged 18 years or older with previous diagnosis of type 2 diabetes were included in the study. The intervention performed was a set of strategies to help patients stay healthy during the COVID-19 pandemic and included the maintaining of telephone contacts and providing educational materials on issues related to mental health, healthy habits, and diabetes care. The primary outcome was a positive screening for mental health disorders (Self-Reporting Questionnaire) after 16 weeks of intervention. A positive screening for mental health disorders was considered when the survey scored greater than or equal to 7. Secondary outcomes included a positive screening for diabetes-related emotional distress (Problem Areas in Diabetes), eating (Eating Attitudes Test), and sleep disorders (Mini Sleep Questionnaire). Comparisons with χ2 tests for dichotomous outcomes, along with the Mann–Whitney U test, was used for between group analyses.ResultsA total of 91 individuals agreed to participate (46 intervention group and 45 control group). There were no differences in demographic and clinical data at baseline. After 16 weeks of follow-up, a positive screening for mental health disorders was found in 37.0% of participants in the intervention group vs. 57.8% in the control group (P = 0.04). Diabetes-related emotional distress was found in 21.7% of participants in the intervention group vs. 42.2% in the control group (P = 0.03). No differences were found between groups with regard to eating and sleep disorders.ConclusionThis study demonstrated that maintaining remote connections with health professionals during social distancing and quarantine have the potential to reduce the prevalence of positive screening for mental health disorders and diabetes-related emotional distress in adults with type 2 diabetes.Supplementary InformationThe online version contains supplementary material available at 10.1007/s00592-021-01690-1.

Measuring children\u2019s emotional and behavioural problems: are SDQ parent reports from native and immigrant parents comparable?

BackgroundThe number of immigrants worldwide is growing and migration might be a risk factor for the mental health of children. A reliable instrument is needed to measure immigrants' childrens mental health. The aim of the study was to test the measurement invariance of the parent version of the Strengths and Difficulties Questionnaire (SDQ) between German native, Turkish origin and Russian origin immigrant parents in Germany. The SDQ is one of the most frequently used screening instruments for mental health disorders in children.MethodsDifferential Item Functioning (DIF) was tested in samples matched by socio-economic status, age and gender of the child. A logistic regression/item response theory hybrid method and a multiple indicators- multiple causes model (MIMIC) was used to test for DIF. Multi Group Confirmatory Factor analysis (MGCFA) was used to test for configural invariance. Parent reports of 10610 German native, 534 Russian origin and 668 Turkish origin parents of children aged 3–17 years were analysed.ResultsDIF items were found in both groups and with both methods. We did not find an adequate fit of the original five factor model of the SDQ for the Turkish origin group, but for the Russian origin group. An analysis of functional equivalence indicated that the SDQ is equally useful for the screening of mental health disorders in all three groups.ConclusionUsing the SDQ in order to compare the parent reports of native and immigrant parents should be done cautiously. Thus, the use of the SDQ in epidemiological studies and for prevention planning is questionable. However, the SDQ turns out to be a valid instrument for screening purposes in parents of native and immigrant children.

Through the Looking Glass - Electronic Screening for Mental Health Disorders in Orthognathic Patients

Through the Looking Glass - Electronic Screening for Mental Health Disorders in Orthognathic Patients

Comments on "Screening for Mental Health Disorders among Pregnant Women Availing Antenatal Care at a Government Maternity Hospital in Bengaluru City".

Comments on "Screening for Mental Health Disorders among Pregnant Women Availing Antenatal Care at a Government Maternity Hospital in Bengaluru City".

Depression during pregnancy and preterm delivery: a prospective cohort study among women attending antenatal clinic at Pumwani Maternity Hospital

BackgroundPreterm birth occurs among 9.6% of births worldwide and is the leading cause of long-term neurodevelopmental disabilities among children and also responsible for 28% of neonatal deaths. No single etiological factor is responsible for preterm birth, but various risk factors have been identified. Prior studies have reported that compromised maternal mental health occurring during pregnancy may lead to various adverse obstetric outcomes.ObjectiveTo determine whether antenatal depression is significantly associated with preterm delivery in a low resource hospital sample from the suburbs of Nairobi.Methods292 women attending the antenatal clinic at Pumwani Maternity Hospital in Nairobi meeting the study criteria were recruited. The Edinburgh Postnatal Depression Scale was administered to screen for depression. A clinical cutoff score of 10 and above was regarded as possible depression. Thereafter, a clinical interview together with the Patient Health Questionnaire-9 was administered to evaluate the participants on DSM-V criteria for major depressive disorder. Only 255 of the women were successfully followed-up to delivery with an attrition rate of 12.7%. Records of gestation at delivery and birth weight were collected at second contact.Data analysisPreterm birth was associated with various demographic, psychosocial and medical variables. Relative risks were estimated via log binomial regression analysis to determine whether depression was a risk factor for preterm birth.ResultsOf the 255 participants, 98(38.4%) found to have depressive symptoms and 27(10.7%) delivered preterm. The risk of delivering preterm was 3.8 times higher among those with depressive symptoms.ConclusionThere is a positive association between antenatal depression and preterm delivery. This highlights the importance of screening for mental health disorders in the antenatal period as a means to reduce adverse obstetric outcomes.

Associations of intimate partner violence with screening for mental health disorders among women in urban Bangladesh.

We examined the association between intimate partner violence (IPV) and screening for depression in Bangladesh, a country with high prevalence of IPV and lack of data, awareness and provider infrastructure for mental illness. We used data from a representative sample of 11,202 women from the 2006 Bangladesh Urban Health Survey. Elements of social learning theory were used to examine the association. Additionally, we examined the interaction effect of experiencing IPV and justification of IPV on screening for mental health disorders. Results indicate that women who experienced IPV were significantly more likely to be screened for mental health disorders (AOR = 2.09; 95% CI = 1.86-2.34). However, the direction of this association is reversed for women who justify various forms of IPV to varying degrees. These findings reflect the importance of how women's perception of violence may influence their mental health. Our results indicate a counter-intuitive association, given that we found that women's justification of IPV is adaptive for them in terms of preventing symptoms of mental health problems and have potential to inform future public health policy and research.