Genetic structure correlates with ethnolinguistic diversity in eastern and southern Africa.

African populations are the most diverse in the world yet are sorely underrepresented in medical genetics research. Here, we examine the structure of African populations using genetic and comprehensive multi-generational ethnolinguistic data from the Neuropsychiatric Genetics of African Populations-Psychosis study (NeuroGAP-Psychosis) consisting of 900 individuals from Ethiopia, Kenya, South Africa, and Uganda. We find that self-reported language classifications meaningfully tag underlying genetic variation that would be missed with consideration of geography alone, highlighting the importance of culture in shaping genetic diversity. Leveraging our uniquely rich multi-generational ethnolinguistic metadata, we track language transmission through the pedigree, observing the disappearance of several languages in our cohort as well as notable shifts in frequency over three generations. We find suggestive evidence for the rate of language transmission in matrilineal groups having been higher than that for patrilineal ones. We highlight both the diversity of variation within Africa as well as how within-Africa variation can be informative for broader variant interpretation; many variants that are rare elsewhere are common in parts of Africa. The work presented here improves the understanding of the spectrum of genetic variation in African populations and highlights the enormous and complex genetic and ethnolinguistic diversity across Africa.

Low-coverage sequencing cost-effectively detects known and novel variation in underrepresented populations.

Genetic studies in underrepresented populations identify disproportionate numbers of novel associations. However, most genetic studies use genotyping arrays and sequenced reference panels that best capture variation most common in European ancestry populations. To compare data generation strategies best suited for underrepresented populations, we sequenced the whole genomes of 91 individuals to high coverage as part of the Neuropsychiatric Genetics of African Population-Psychosis (NeuroGAP-Psychosis) study with participants from Ethiopia, Kenya, South Africa, and Uganda. We used a downsampling approach to evaluate the quality of two cost-effective data generation strategies, GWAS arrays versus low-coverage sequencing, by calculating the concordance of imputed variants from these technologies with those from deep whole-genome sequencing data. We show that low-coverage sequencing at a depth of ≥4× captures variants of all frequencies more accurately than all commonly used GWAS arrays investigated and at a comparable cost. Lower depths of sequencing (0.5-1×) performed comparably to commonly used low-density GWAS arrays. Low-coverage sequencing is also sensitive to novel variation; 4× sequencing detects 45% of singletons and 95% of common variants identified in high-coverage African whole genomes. Low-coverage sequencing approaches surmount the problems induced by the ascertainment of common genotyping arrays, effectively identify novel variation particularly in underrepresented populations, and present opportunities to enhance variant discovery at a cost similar to traditional approaches.

Factor structure of psychosis screening questionnaire in Ugandan adults.

BACKGROUND: Psychotic disorders are common and contribute significantly to morbidity and mortality of people with psychiatric diseases. Therefore, early screening and detection may facilitate early intervention and reduce adverse outcomes. Screening tools that lay persons can administer are particularly beneficial in low resource settings. However, there is limited research evaluating the validity of psychosis screening instruments in Uganda. We aimed to assess the construct validity and psychometric properties of the Psychosis Screening Questionnaire (PSQ) in Uganda in a population with no history of a psychotic disorder. METHODS: The sample consisted of 2101 Ugandan adults participating as controls in a larger multi-country case-control study on psychiatric genetics who were recruited between February 2018 and March 2020. Participants were individuals seeking outpatient general medical care, caretakers of individuals seeking care, and staff or students recruited from five medical facilities that were age 18 years or older and able to provide consent. Individuals were excluded who had acute levels of alcohol or substance use, including being under inpatient hospitalization or acute medical care for one of these conditions. We used confirmatory factor analysis (CFA) and item response theory (IRT) to evaluate the factor structure and item properties of the PSQ. RESULTS: The overall prevalence screening positive for psychotic symptoms was 13.9% 95% CI (12.4,15.4). "Strange experiences" were the most endorsed symptoms 6.6% 95% CI (5.6,7.8). A unidimensional model seemed to be a good model or well-fitting based on fit indices including the root mean square error of approximation (RMSEA of 0.00), comparative fit index (CFI of 1.000), and Tucker-Lewis Index (TLI of 1.000). The most discriminating items along the latent construct of psychosis were items assessing thought disturbance followed by items assessing paranoia, with a parameter (discrimination) value of 2.53 and 2.40, respectively. CONCLUSION: The PSQ works well in Uganda as an initial screening tool for moderate to high-level of psychotic symptoms.

The cumulative impact of trauma, chronic illness, and COVID-19 stress on mental health in a case-control study of adults with psychotic disorders in Ethiopia.

BACKGROUND: The COVID-19 pandemic has profoundly impacted the economic, psychological, and social well-being of people in Ethiopia. Pandemic-related fears can exacerbate anxiety and depression symptoms among those with pre-existing physical and mental health conditions as well as those with prior exposure to traumatic events. METHODS: We used data from the Ethiopia NeuroGAP-Psychosis study (898 cases and 941 controls with and without a diagnosis of psychosis respectively, 66% male, mean age = 37 years). Data was collected between November 2021 and June 2022 during the COVID-19 pandemic from four hospitals in Ethiopia (three in Addis Ababa and one in Jimma city). Structural equation modeling analysis was conducted to examine the associations between trauma exposure, physical health conditions (like arthristis, neurological disorders, diabetes), COVID-19 stress, and psychological distress (depression and anxiety symptoms). We assessed direct and indirect effects for mediation, and conducted multigroup analysis to examine moderation by case control status. RESULTS: We found evidence that the impact of greater trauma exposure and physical health conditions on higher psychological distress was mediated through higher COVID-19 stress. Sociodemographic characteristics (older age and being maried) were associated with higher psychological distress, with these associations mediated through greater trauma, physical health conditions, and COVID-19 stress. Case-control status also moderated the associations between these variables, with the mediation effects being stronger in cases and weaker in controls. Further, cases reported greater trauma and psychological distress, while controls reported more physical health conditions and COVID-19 stress. IMPLICATIONS: Our findings uniquely assess the interaction of health and emergency related factors in understudied settings like Ethiopia. They underscore the importance of including daily hardships and environmental stressors, along with prior trauma exposure, as risk factors for the assessment of mental health symptoms. This study has key implications for mental health screening and intervention research in response to complex emergency contexts like Ethiopia with a history of armed conflict in addition to the COVID-19 pandemic. Our findings can aid the development of targeted services that address the mental health of at-risk groups with pre-existing mental and physical health conditions.

Relationships between trauma types and psychotic symptoms: A network analysis of patients with psychotic disorders in a large, multi-country study in East Africa.

BACKGROUND: The link between trauma exposure and psychotic disorders is well-established. Further, specific types of trauma may be associated with specific psychotic symptoms. Network analysis is an approach that can advance our understanding of the associations across trauma types and psychotic symptoms. METHODS: We conducted a network analysis with data from 16,628 adult participants (mean age [standard deviation] = 36.3 years [11.5]; 55.8% males) with psychotic disorders in East Africa recruited between 2018 and 2023. We used the Life Events Checklist and the Mini International Neuropsychiatric Interview to determine whether specific trauma types experienced over the life course and specific psychotic symptoms were connected. We used an Ising model to estimate the network connections and bridge centrality statistics to identify nodes that may influence trauma types and psychotic symptoms. RESULTS: The trauma type "exposure to a war zone" had the highest bridge strength, betweenness, and closeness. The psychotic symptom "odd or unusual beliefs" had the second highest bridge strength. Exposure to a war zone was directly connected to visual hallucinations, odd or unusual beliefs, passivity phenomena, and disorganized speech. Odd or unusual beliefs were directly connected to transportation accidents, physical assault, war, and witnessing sudden accidental death. CONCLUSION: Specific trauma types and psychotic symptoms may interact bidirectionally. Screening for psychotic symptoms in patients with war-related trauma and evaluating lifetime trauma in patients with odd or unusual beliefs in clinical care may be considered points of intervention to limit stimulating additional psychotic symptoms and trauma exposure. This work reaffirms the importance of trauma-informed care for patients with psychotic disorders.

Meta-analysis reveals the vaginal microbiome is a better predictor of earlier than later preterm birth.

BACKGROUND: High-throughput sequencing measurements of the vaginal microbiome have yielded intriguing potential relationships between the vaginal microbiome and preterm birth (PTB; live birth prior to 37 weeks of gestation). However, results across studies have been inconsistent. RESULTS: Here, we perform an integrated analysis of previously published datasets from 12 cohorts of pregnant women whose vaginal microbiomes were measured by 16S rRNA gene sequencing. Of 2039 women included in our analysis, 586 went on to deliver prematurely. Substantial variation between these datasets existed in their definition of preterm birth, characteristics of the study populations, and sequencing methodology. Nevertheless, a small group of taxa comprised a vast majority of the measured microbiome in all cohorts. We trained machine learning (ML) models to predict PTB from the composition of the vaginal microbiome, finding low to modest predictive accuracy (0.28-0.79). Predictive accuracy was typically lower when ML models trained in one dataset predicted PTB in another dataset. Earlier preterm birth (< 32 weeks, < 34 weeks) was more predictable from the vaginal microbiome than late preterm birth (34-37 weeks), both within and across datasets. Integrated differential abundance analysis revealed a highly significant negative association between L. crispatus and PTB that was consistent across almost all studies. The presence of the majority (18 out of 25) of genera was associated with a higher risk of PTB, with L. iners, Prevotella, and Gardnerella showing particularly consistent and significant associations. Some example discrepancies between studies could be attributed to specific methodological differences but not most study-to-study variations in the relationship between the vaginal microbiome and preterm birth. CONCLUSIONS: We believe future studies of the vaginal microbiome and PTB will benefit from a focus on earlier preterm births and improved reporting of specific patient metadata shown to influence the vaginal microbiome and/or birth outcomes.

Fourteen-item perceived stress scale assessment using item response theory among pregnant women.

The current study aimed to assess the psychometric properties of the Spanish language version of the 14-item Perceived Stress Scale (PSS-S) in a population of pregnant women who speak Spanish in Peru using item response theory (IRT). Our study consisted of 5,435 pregnant women who participated in the Pregnancy Outcomes Maternal and Infant Study (PrOMIS) cohort in Peru. Exploratory and confirmatory factor analyses were conducted to determine dimensionality of the scale in this population, and item response theory was conducted to determine the applicability of the PSS. The PSS consisted of a 2-factor questionnaire measuring perceived stress and coping capacity accounting for 77% of variability. The IRT analysis showed differences in item difficulty and discrimination. Item difficulty represents the level of the latent construct where 50% of respondents endorse a particular response, and item discrimination determines the rate of change of the probability of endorsing an item for differing ability levels. For the first factor, perceived stress, item 12 was the least difficult and item 2 was the most difficult. For the second factor, coping capacity, item 9 was the least difficult and item 6 was the most difficult. The Spanish version of the 14-item PSS can be a useful assessment tool for perceived stress, but more IRT should be done to delve further into the psychometric properties of the questionnaire to inform clinicians and policy makers more appropriately.

Novel Methods for Leveraging Large Cohort Studies for Qualitative and Mixed-Methods Research.

Qualitative research methods, while rising in popularity, are still a relatively underutilized tool in public health research. Usually reserved for small samples, qualitative research techniques have the potential to enhance insights gained from large questionnaires and cohort studies, both deepening the interpretation of quantitative data and generating novel hypotheses that might otherwise be missed by standard approaches; this is especially true where exposures and outcomes are new, understudied, or rapidly changing, as in a pandemic. However, methods for the conduct of qualitative research within large samples are underdeveloped. Here, we describe a novel method of applying qualitative research methods to free-text comments collected in a large epidemiologic questionnaire. Specifically, this method includes: 1) a hierarchical system of coding through content analysis; 2) a qualitative data management application; and 3) an adaptation of Cohen's κ and percent agreement statistics for use by a team of coders, applying multiple codes per record from a large codebook. The methods outlined in this paper may help direct future applications of qualitative and mixed methods within large cohort studies.

Psychometric properties of the mini international neuropsychiatric interview (MINI) psychosis module: a Sub-Saharan Africa cross country comparison.

BACKGROUND: The Mini International Neuropsychiatric Inventory 7.0.2 (MINI-7) is a widely used tool and known to have sound psychometric properties; but very little is known about its use in low and middle-income countries (LMICs). This study aimed to examine the psychometric properties of the MINI-7 psychosis items in a sample of 8609 participants across four countries in Sub-Saharan Africa. METHODS: We examined the latent factor structure and the item difficulty of the MINI-7 psychosis items in the full sample and across four countries. RESULTS: Multiple group confirmatory factor analyses (CFAs) revealed an adequate fitting unidimensional model for the full sample; however, single group CFAs at the country level revealed that the underlying latent structure of psychosis was not invariant. Specifically, although the unidimensional structure was an adequate model fit for Ethiopia, Kenya, and South Africa, it was a poor fit for Uganda. Instead, a 2-factor latent structure of the MINI-7 psychosis items provided the optimal fit for Uganda. Examination of item difficulties revealed that MINI-7 item K7, measuring visual hallucinations, had the lowest difficulty across the four countries. In contrast, the items with the highest difficulty were different across the four countries, suggesting that MINI-7 items that are the most predictive of being high on the latent factor of psychosis are different for each country. CONCLUSIONS: The present study is the first to provide evidence that the factor structure and item functioning of the MINI-7 psychosis vary across different settings and populations in Africa.

Association of maternal psychological distress with children with overweight/obesity in Ethiopia.

BACKGROUND: Poor maternal mental health is a major risk factor for adverse offspring health outcomes, including overweight/obesity status. Maternal mental distress is highly prevalent and associated with parenting practices influencing child weight. To date, there is little information documented in Ethiopia on maternal mental distress and children with overweight/obesity status. This study examined the association between maternal mental distress and children with overweight/obesity among mother-child dyads in Addis Ababa, Ethiopia. METHODS: An observational population-based cross-sectional study was conducted among mother-child dyads in representative samples in Addis Ababa, Ethiopia. Maternal mental distress was measured using the Self-Reporting Questionnaire (SRQ)-20. Child/adolescent overweight/obesity was defined as more than 1 SD above the median World Health Organization (WHO) growth reference. Multivariate logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs). RESULTS: The prevalence of maternal mental distress and children with overweight/obesity was estimated to be 10.1% and 28.8%, respectively. After adjusting for confounders, including maternal education, maternal occupation, average monthly household income, maternal body mass index (BMI) and the number of household members/family size, maternal psychological distress was not associated with offspring overweight/obesity status (adjusted OR [aOR] = 0.54; 95% CI: 0.25, 1.14). CONCLUSIONS: There is no evidence of an association between maternal psychological distress and children with overweight/obesity. This lack of association might be attributable to our cross-sectional study design. Future epidemiologic studies, particularly those using prospectively collected data, are warranted to examine better the effects of maternal psychological distress on offspring body weight.

A retrospective data analysis of psychiatric cases in Hargeisa, Somaliland between 2019 and 2020.

Background: In Somaliland, an estimated one person in every two households suffers from psychiatric disorders. Despite this, access to mental health care is limited because of shortages in facilities, human resources, funding and stigma. Aim: To present the proportion of psychiatric disorders encountered in outpatient psychiatry clinics. Setting: The University if Hargeisa (UoH), Hargesisa, Somaliland. Methods: De-identified data on patients accessing psychiatric care from doctor trainees in the dual psychiatry-neurology residency program at UoH from January 2019 to June 2020 were included in the analysis. The Institutional Review Board from UoH approved data collection and analysis. The most common psychiatric diagnoses were summarised overall and by sex and age. Results: A total of 752 patients were included in the analysis. Most were male (54.7%), with an average age of 34.9 years. The most common psychiatric diagnoses were schizophrenia (28.0%), major depressive disorder (MDD) (14.3%) and bipolar disorder type 1 (BD1) (10.5%). When stratified by sex, patients with schizophrenia and BD1 were more likely to be male (73.5% and 53.3%, respectively), and those with MDD were more likely to be female (58.8%). Trauma- and stressor-related disorders accounted for 0.4% of cases, while 0.8% of patients presented with substance use disorders (alcohol and khat), which is an underestimate of the widespread use in Somaliland. Conclusion: Additional research using structured clinical interviews is needed to determine the epidemiology of psychiatric disorders and promote policies aiming to decrease neuropsychiatric mortality and morbidity. Contribution: This work presents the first data collection related to neuropsychiatric disorders in Somaliland.

Psychosis screening questionnaire: Exploring its factor structure among South African adults.

Background: Early detection of psychosis improves treatment outcomes, but there is limited research evaluating the validity of psychosis screening instruments, particularly in low-resourced countries. Aim: This study aims to assess the construct validity and psychometric properties of the psychosis screening questionnaire (PSQ) in South Africa. Setting: This study was conducted at several health centres in the Western and Eastern Cape provinces in South Africa. Methods: The sample consisted of 2591 South African adults participating as controls in a multi-country case-control study of psychiatric genetics. Using confirmatory factor analysis and item response theory, we evaluated the psychometric properties of the PSQ. Results: Approximately 11% of the participants endorsed at least one psychotic experience on the PSQ, and almost half of them (49%) occurred within the last 12 months. A unidimensional model demonstrated good fit (root mean square error of approximation [RMSEA] = 0.023, comparative fit index [CFI] = 0.977 and Tucker-Lewis Index [TLI] = 0.954). The mania item had the weakest association with a single latent factor (standardised factor loading = 0.14). Model fit improved after removing the mania item (RMSEA = 0.025, CFI = 0.991 and TLI = 0.972). With item response theory analysis, the PSQ provided more information at higher latent trait levels. Conclusion: Consistent with prior literature, the PSQ demonstrated a unidimensional factor structure among South Africans. In our study, the PSQ in screening for psychosis performed better without the mania item, but future criterion validity studies are warranted. Contribution: This study highlights that PSQ can be used to screen for early psychosis.

Shedding Light on the Causes and Characteristics of Stroke in Lebanon: A Systematic Review of Literature.

BACKGROUND: The prevalence and severity of stroke in Lebanon has increased over the past decade and stroke is currently the second leading cause of death in the country. METHODS: We systematically reviewed existing research on stroke prevalence, risk factors, mortality and morbidity of stroke, stroke treatment, and stroke education to assess the epidemiology of stroke in Lebanon. A literature search was conducted on the PubMed database for articles presenting data in any of these 5 categories in Lebanon, as well as articles discussing the Middle East and North Africa region generally. RESULTS: A high prevalence of modifiable risk factors (cigarette and waterpipe smoking) and risk factors that could be mitigated by lifestyle changes (obesity and hypertension) were found in Lebanon. Stroke mortality rates and risk factors of mortality were consistent with global trends, though the cost of treatment in Lebanon was significantly higher than in other developing nations. CONCLUSION: Urgent public health initiatives are needed to educate the public about the dangers of modifiable stroke risk factors and to reduce the burden of stroke in Lebanon.

Pain, mood, and suicidal behavior among injured working adults in Chile.

BACKGROUND: Chronic pain is comorbid with psychiatric disorders, but information on the association of chronic pain with depressive symptoms, generalized anxiety, and suicidal behavior among occupational cohorts is inadequate. We investigated these associations among employed Chilean adults. METHODS: A total of 1946 working adults were interviewed during their outpatient visit. Pain was assessed using the Short Form McGill Pain questionnaire (SF-MPG) while depression and generalized anxiety were examined using the Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder-7 (GAD-7), respectively. The Columbia-Suicide Severity Rating Scale was used to assess suicidal behavior and suicidal ideation. Multivariable logistic regression models were used to estimate adjusted odds ratios (aORs) and 95% confidence intervals (95%CI) for the association of chronic pain with mood disorders, as well as suicidal behavior. RESULTS: High chronic pain (SF-MPG > 11) was reported by 46% of participants. Approximately two-fifths of the study participants (38.2%) had depression, 23.8% generalized anxiety, 13.4% suicidal ideation, and 2.4% suicidal behavior. Compared to those with low pain (SF-MPG ≤11), participants with high chronic pain (SF-MPG > 11) had increased odds of experiencing depression only (aOR = 2.87; 95% CI: 2.21-3.73), generalized anxiety only (aOR = 2.38; 95% CI: 1.42-3.99), and comorbid depression and generalized anxiety (aOR = 6.91; 95% CI: 5.20-9.19). The corresponding aOR (95%CI) for suicidal ideation and suicidal behavior were (aOR = 2.20; 95% CI: 1.58-3.07) and (aOR = 2.18 = 95% CI: 0.99-4.79), respectively. CONCLUSIONS: Chronic pain is associated with increased odds of depression, generalized anxiety, and suicidal behavior. Mental health support and appropriate management of patients experiencing chronic pain are critical.

Poor sleep Quality and Obstructive Sleep Apnea are Associated with Maternal Mood, and Anxiety Disorders in Pregnancy.

BACKGROUND: Previous studies suggest sleep quality and obstructive sleep apnea (OSA) may be associated with psychiatric symptoms, including depression, anxiety, and posttraumatic stress disorder (PTSD). However, few studies have examined the relationship between sleep quality and OSA with maternal psychiatric symptoms during pregnancy, a state of vulnerability to these disorders. OBJECTIVE: The objective of our study is to examine the association between poor sleep quality and sleep apnea with antepartum depression, anxiety, and PTSD among pregnant women. METHODS: A cross-sectional study was conducted among women seeking prenatal care in Lima, Peru. Sleep quality was measured using the Pittsburgh Sleep Quality Index, and the Berlin questionnaire was used to identify women at high risk for OSA. Depression, generalized anxiety, and PTSD symptoms were measured using the Patient Health Questionnaire-9, Generalized Anxiety Disorder Assessment, and PTSD Checklist - Civilian Version. Multivariate logistic regression procedures were used to estimate adjusted odds ratios (aOR) and 95% confidence intervals (95% CI). RESULTS: Approximately 29.0X% of women had poor sleep quality, and 6.2% were at high risk for OSA. The prevalence of psychiatric symptoms was high in this cohort with 25.1%, 32.5%, and 30.9% of women reporting symptoms of antepartum depression, antepartum anxiety, and PTSD, respectively. Women with poor sleep quality had higher odds of antepartum depression (aOR = 3.28; 95%CI: 2.64-4.07), generalized anxiety (aOR = 1.94; 95%CI: 1.58-2.38), and PTSD symptoms (aOR = 2.81; 95% CI: 2.28-3.46) as compared with women who reported good sleep quality. Women with a high risk of OSA had higher odds of antepartum depression (aOR = 2.36; 95% CI: 1.57-3.56), generalized anxiety (aOR = 2.02, 95% CI: 1.36-3.00), and PTSD symptoms (aOR = 2.14; 95%CI: 1.43-3.21) as compared with those with a low risk of sleep apnea. CONCLUSIONS: Poor sleep quality and high risk of OSA are associated with antepartum depression, generalized anxiety, and PTSD symptoms among pregnant women. Further characterizations of the associations of these prevalent sleep, mood, and anxiety conditions among pregnant women could aid in evaluating and delivering optimal perinatal care to women with these comorbidities.

Association between omentin-1 and indices of glucose metabolism in early pregnancy: a pilot study.

PURPOSE: Omentin-1 plays an important role in regulating insulin sensitivity outside pregnancy. As an adipokine derived from human placental and adipose tissue, it may be an important contributor in the biological pathway of gestational diabetes. METHODS: Omentin-1 was measured in a sub-cohort of 50 participants in the Omega study. We aimed to evaluate whether circulating maternal omentin-1 concentrations are associated with fasting serum glucose, insulin, HOMA-IR and maternal obesity as measured by body mass index (BMI) and subcutaneous and intra-abdominal fat thickness measurements in normoglycemic pregnant participants. We performed a subgroup analysis by BMI category. RESULTS: Omentin-1 was negatively correlated with HOMA-IR and insulin and inversely associated with serum glucose concentration in the fully adjusted model (- 47%; slope per tertile increase in concentration - 0.19; P-trend 0.01). This association was significant in non-overweight/obese (< 25 kg/m2) but not among overweight/obese (≥ 25 kg/ m2) participants. The association with serum insulin was not significant in the fully adjusted model. CONCLUSION: Circulating omentin-1 concentrations are inversely associated with serum glucose concentrations. Although the relevance of these findings remains to be elucidated, they may indicate a mechanism for the development of insulin resistance and gestational diabetes. Follow-up studies with larger sample sizes are warranted.

Validation of the Patient Health Questionnaire-9 (PHQ-9) for Detecting Depression Among Pregnant Women in Lima, Peru.

Depression during pregnancy is linked to adverse perinatal and offspring outcomes. The Patient Health Questionnaire-9 (PHQ-9) has been validated for identifying depression in pregnant women in limited cultural contexts. Construct validity and reliability have been assessed in Lima, Peru, but criterion validity has not. This study aimed to comprehensively evaluate the PHQ-9 among pregnant Peruvian women in the Pregnancy Outcomes, Maternal and Infant Study (PrOMIS). Using Composite International Diagnostic Interview (CIDI) criteria for past-12-month major depressive disorder as the reference standard, sensitivity, specificity, and predictive value of the PHQ-9 for detecting depression were assessed at various cutpoints of the PHQ-9. Confirmatory factor analysis (CFA) was used to evaluate one- and two-factor structures for the PHQ-9. Cronbach's alpha was computed for the entire PHQ-9 scale and for subscales supported by CFA. A cutpoint of ≥8 maximized combined sensitivity (61%) and specificity (62%). At this cutpoint, positive predictive value was low (15%) and negative predictive values was high (93%). Reliability for the full scale was high (α=0.80). Both one- and two-factor solutions were appropriate for this population, but a two-factor solution containing an affective/mood factor (α=0.67) and a somatic factor (α=0.75) was optimal (CFI=0.93, RMSEA=0.075). Among pregnant women in Lima, screening with the PHQ-9 can identify those in need of mental health care, but may identify a large number of false positive cases.

Perceived major experiences of discrimination, ethnic group, and risk of psychosis in a six-country case-control study.

BACKGROUND: Perceived discrimination is associated with worse mental health. Few studies have assessed whether perceived discrimination (i) is associated with the risk of psychotic disorders and (ii) contributes to an increased risk among minority ethnic groups relative to the ethnic majority. METHODS: We used data from the European Network of National Schizophrenia Networks Studying Gene-Environment Interactions Work Package 2, a population-based case-control study of incident psychotic disorders in 17 catchment sites across six countries. We calculated odds ratios (OR) and 95% confidence intervals (95% CI) for the associations between perceived discrimination and psychosis using mixed-effects logistic regression models. We used stratified and mediation analyses to explore differences for minority ethnic groups. RESULTS: Reporting any perceived experience of major discrimination (e.g. unfair treatment by police, not getting hired) was higher in cases than controls (41.8% v. 34.2%). Pervasive experiences of discrimination (≥3 types) were also higher in cases than controls (11.3% v. 5.5%). In fully adjusted models, the odds of psychosis were 1.20 (95% CI 0.91-1.59) for any discrimination and 1.79 (95% CI 1.19-1.59) for pervasive discrimination compared with no discrimination. In stratified analyses, the magnitude of association for pervasive experiences of discrimination appeared stronger for minority ethnic groups (OR = 1.73, 95% CI 1.12-2.68) than the ethnic majority (OR = 1.42, 95% CI 0.65-3.10). In exploratory mediation analysis, pervasive discrimination minimally explained excess risk among minority ethnic groups (5.1%). CONCLUSIONS: Pervasive experiences of discrimination are associated with slightly increased odds of psychotic disorders and may minimally help explain excess risk for minority ethnic groups.

Equivalency of the diagnostic accuracy of the PHQ-8 and PHQ-9: a systematic review and individual participant data meta-analysis.

BACKGROUND: Item 9 of the Patient Health Questionnaire-9 (PHQ-9) queries about thoughts of death and self-harm, but not suicidality. Although it is sometimes used to assess suicide risk, most positive responses are not associated with suicidality. The PHQ-8, which omits Item 9, is thus increasingly used in research. We assessed equivalency of total score correlations and the diagnostic accuracy to detect major depression of the PHQ-8 and PHQ-9. METHODS: We conducted an individual patient data meta-analysis. We fit bivariate random-effects models to assess diagnostic accuracy. RESULTS: 16 742 participants (2097 major depression cases) from 54 studies were included. The correlation between PHQ-8 and PHQ-9 scores was 0.996 (95% confidence interval 0.996 to 0.996). The standard cutoff score of 10 for the PHQ-9 maximized sensitivity + specificity for the PHQ-8 among studies that used a semi-structured diagnostic interview reference standard (N = 27). At cutoff 10, the PHQ-8 was less sensitive by 0.02 (-0.06 to 0.00) and more specific by 0.01 (0.00 to 0.01) among those studies (N = 27), with similar results for studies that used other types of interviews (N = 27). For all 54 primary studies combined, across all cutoffs, the PHQ-8 was less sensitive than the PHQ-9 by 0.00 to 0.05 (0.03 at cutoff 10), and specificity was within 0.01 for all cutoffs (0.00 to 0.01). CONCLUSIONS: PHQ-8 and PHQ-9 total scores were similar. Sensitivity may be minimally reduced with the PHQ-8, but specificity is similar.

The Accuracy of the Patient Health Questionnaire-9 Algorithm for Screening to Detect Major Depression: An Individual Participant Data Meta-Analysis.

BACKGROUND: Screening for major depression with the Patient Health Questionnaire-9 (PHQ-9) can be done using a cutoff or the PHQ-9 diagnostic algorithm. Many primary studies publish results for only one approach, and previous meta-analyses of the algorithm approach included only a subset of primary studies that collected data and could have published results. OBJECTIVE: To use an individual participant data meta-analysis to evaluate the accuracy of two PHQ-9 diagnostic algorithms for detecting major depression and compare accuracy between the algorithms and the standard PHQ-9 cutoff score of ≥10. METHODS: Medline, Medline In-Process and Other Non-Indexed Citations, PsycINFO, Web of Science (January 1, 2000, to February 7, 2015). Eligible studies that classified current major depression status using a validated diagnostic interview. RESULTS: Data were included for 54 of 72 identified eligible studies (n participants = 16,688, n cases = 2,091). Among studies that used a semi-structured interview, pooled sensitivity and specificity (95% confidence interval) were 0.57 (0.49, 0.64) and 0.95 (0.94, 0.97) for the original algorithm and 0.61 (0.54, 0.68) and 0.95 (0.93, 0.96) for a modified algorithm. Algorithm sensitivity was 0.22-0.24 lower compared to fully structured interviews and 0.06-0.07 lower compared to the Mini International Neuropsychiatric Interview. Specificity was similar across reference standards. For PHQ-9 cutoff of ≥10 compared to semi-structured interviews, sensitivity and specificity (95% confidence interval) were 0.88 (0.82-0.92) and 0.86 (0.82-0.88). CONCLUSIONS: The cutoff score approach appears to be a better option than a PHQ-9 algorithm for detecting major depression.