Genetic distance and ancestry proportion modify the association between maternal genetic risk score of type 2 diabetes and fetal growth.

BACKGROUND: Maternal genetic risk of type 2 diabetes (T2D) has been associated with fetal growth, but the influence of genetic ancestry is not yet fully understood. We aimed to investigate the influence of genetic distance (GD) and genetic ancestry proportion (GAP) on the association of maternal genetic risk score of T2D (GRST2D) with fetal weight and birthweight. METHODS: Multi-ancestral pregnant women (n = 1,837) from the NICHD Fetal Growth Studies - Singletons cohort were included in the current analyses. Fetal weight (in grams, g) was estimated from ultrasound measurements of fetal biometry, and birthweight (g) was measured at delivery. GRST2D was calculated using T2D-associated variants identified in the latest trans-ancestral genome-wide association study and was categorized into quartiles. GD and GAP were estimated using genotype data of four reference populations. GD was categorized into closest, middle, and farthest tertiles, and GAP was categorized as highest, medium, and lowest. Linear regression analyses were performed to test the association of GRST2D with fetal weight and birthweight, adjusted for covariates, in each GD and GAP category. RESULTS: Among women with the closest GD from African and Amerindigenous ancestries, the fourth and third GRST2D quartile was significantly associated with 5.18 to 7.48 g (weeks 17-20) and 6.83 to 25.44 g (weeks 19-27) larger fetal weight compared to the first quartile, respectively. Among women with middle GD from European ancestry, the fourth GRST2D quartile was significantly associated with 5.73 to 21.21 g (weeks 18-26) larger fetal weight. Furthermore, among women with middle GD from European and African ancestries, the fourth and second GRST2D quartiles were significantly associated with 117.04 g (95% CI = 23.88-210.20, p = 0.014) and 95.05 g (95% CI = 4.73-185.36, p = 0.039) larger birthweight compared to the first quartile, respectively. The absence of significant association among women with the closest GD from East Asian ancestry was complemented by a positive significant association among women with the highest East Asian GAP. CONCLUSIONS: The association between maternal GRST2D and fetal growth began in early-second trimester and was influenced by GD and GAP. The results suggest the use of genetic GD and GAP could improve the generalizability of GRS.

Shaping tomorrow's support: baseline clinical characteristics predict later social functioning and quality of life in schizophrenia spectrum disorder.

PURPOSE: We aimed to explore the multidimensional nature of social inclusion (mSI) among patients diagnosed with schizophrenia spectrum disorder (SSD), and to identify the predictors of 3-year mSI and the mSI prediction using traditional and data-driven approaches. METHODS: We used the baseline and 3-year follow-up data of 1119 patients from the Genetic Risk and Outcome in Psychosis (GROUP) cohort in the Netherlands. The outcome mSI was defined as clusters derived from combined analyses of thirteen subscales from the Social Functioning Scale and the brief version of World Health Organization Quality of Life questionnaires through K-means clustering. Prediction models were built through multinomial logistic regression (ModelMLR) and random forest (ModelRF), internally validated via bootstrapping and compared by accuracy and the discriminability of mSI subgroups. RESULTS: We identified five mSI subgroups: "very low (social functioning)/very low (quality of life)" (8.58%), "low/low" (12.87%), "high/low" (49.24%), "medium/high" (18.05%), and "high/high" (11.26%). The mSI was robustly predicted by a genetic predisposition for SSD, premorbid adjustment, positive, negative, and depressive symptoms, number of met needs, and baseline satisfaction with the environment and social life. The ModelRF (61.61% [54.90%, 68.01%]; P =0.013) was cautiously considered outperform the ModelMLR (59.16% [55.75%, 62.58%]; P =0.994). CONCLUSION: We introduced and distinguished meaningful subgroups of mSI, which were modestly predictable from baseline clinical characteristics. A possibility for early prediction of mSI at the clinical stage may unlock the potential for faster and more impactful social support that is specifically tailored to the unique characteristics of the mSI subgroup to which a given patient belongs.

Moving from supported to independent living: what are the barriers and facilitators for individuals with psychosis?

PURPOSE: Living independently, as opposed to in sheltered housing or with caregivers, is an important aim in the recovery of individuals with psychosis, but the transition to independence can be challenging. This study aims to investigate how individuals with psychosis move between living arrangements and to identify the barriers and facilitators of moving towards independence. METHODS: The living arrangements of 1119 individuals with non-affective psychosis from the Genetic Risk and Outcome of Psychosis study were assessed at baseline, at three- and six-year follow-ups and further categorized as either supported (sheltered housing or with parents) or independent (single or with partner/family). We estimated the probabilities of transitioning between the living statuses and investigated the influence of demographic characteristics, symptomatology, cognition, social support, and premorbid social adjustment on transition using Markov chain modelling. RESULTS: The majority of individuals living in supported housing remained there during the six-year follow-up period (~ 60%). The likelihood of moving from supported to independent living was twice as high for participants who were younger, five-to-six times higher for women, twice as high for individuals with better overall cognition, and five times higher for those with a course of low positive symptoms. CONCLUSION: This study highlights that a large group of individuals with psychosis in supported housing is unlikely to move to independent living. Older men with cognitive impairments and who show continuous severe positive symptoms are the least likely to move living independently. Tailored interventions for these at-risk individuals could increase their chances of moving to independent living.

Association of clinical symptoms and cardiometabolic dysregulations in patients with schizophrenia spectrum disorders.

BACKGROUND: Patients with schizophrenia spectrum disorders (SSD) have a shortened life expectancy related to cardiovascular diseases. We investigated the association of cognitive, positive, and negative symptoms with cardiometabolic dysregulations in SSD patients. METHODS: Overall, 1,119 patients from the Genetic Risk and Outcome in Psychosis (GROUP) study were included. Cognitive function, positive and negative symptoms were assessed at baseline, 3-year, and 6-year. Cardiometabolic biomarkers were measured at 3-year follow-up. We used linear and multinomial logistic regression models to test the association between cardiometabolic biomarkers and clinical trajectories and performed mediation analyzes, while adjusting for clinical and demographic confounders. RESULTS: Cognitive performance was inversely associated with increased body mass index (mean difference [ß], ßhigh = -1.24, 95% CI = -2.28 to 0.20, P = 0.02) and systolic blood pressure (ßmild = 2.74, 95% CI = 0.11 to 5.37, P = 0.04). The severity of positive symptoms was associated with increased glycated hemoglobin (HbA1c) levels (ßlow = -2.01, 95% CI = -3.21 to -0.82, P = 0.001). Increased diastolic blood pressure (ORhigh-decreased = 1.04, 95% CI = 1.01 to 1.08, P = 0.02; ORhigh-increased = 1.04, 95% CI = 1.00 to 1.08, P = 0.048) and decreased high-density lipoprotein (OR high-increased = 6.25, 95% CI = 1.81 to 21.59, P = 0.004) were associated with more severe negative symptoms. Increased HbA1c (ORmoderate = 1.05, 95% CI = 1.01 to 1.10, P = 0.024; ORhigh = 1.08, 95% CI = 1.02 to 1.14, P = 0.006) was associated with more severe positive symptoms. These associations were not mediated by antipsychotics. CONCLUSIONS: We showed an association between cardiometabolic dysregulations and clinical and cognitive symptoms in SSD patients. The observed associations underscore the need for early identification of patients at risk of cardiometabolic outcomes.

Deep Clinical Phenotyping of Schizophrenia Spectrum Disorders Using Data-Driven Methods: Marching towards Precision Psychiatry.

Heterogeneity is the main challenge in the traditional classification of mental disorders, including schizophrenia spectrum disorders (SSD). This can be partly attributed to the absence of objective diagnostic criteria and the multidimensional nature of symptoms and their associated factors. This article provides an overview of findings from the Genetic Risk and Outcome of Psychosis (GROUP) cohort study on the deep clinical phenotyping of schizophrenia spectrum disorders targeting positive and negative symptoms, cognitive impairments and psychosocial functioning. Three to four latent subtypes of positive and negative symptoms were identified in patients, siblings and controls, whereas four to six latent cognitive subtypes were identified. Five latent subtypes of psychosocial function-multidimensional social inclusion and premorbid adjustment-were also identified in patients. We discovered that the identified subtypes had mixed profiles and exhibited stable, deteriorating, relapsing and ameliorating longitudinal courses over time. Baseline positive and negative symptoms, premorbid adjustment, psychotic-like experiences, health-related quality of life and PRSSCZ were found to be the strong predictors of the identified subtypes. Our findings are comprehensive, novel and of clinical interest for precisely identifying high-risk population groups, patients with good or poor disease prognosis and the selection of optimal intervention, ultimately fostering precision psychiatry by tackling diagnostic and treatment selection challenges pertaining to heterogeneity.

Six-year trajectories and associated factors of positive and negative symptoms in schizophrenia patients, siblings, and controls: Genetic Risk and Outcome of Psychosis (GROUP) study.

Positive and negative symptoms are prominent but heterogeneous characteristics of schizophrenia spectrum disorder (SSD). Within the framework of the Genetic Risk and Outcome of Psychosis (GROUP) longitudinal cohort study, we aimed to distinguish and identify the genetic and non-genetics predictors of homogenous subgroups of the long-term course of positive and negative symptoms in SSD patients (n = 1119) and their unaffected siblings (n = 1059) in comparison to controls (n = 586). Data were collected at baseline, and after 3- and 6-year follow-ups. Group-based trajectory modeling was applied to identify latent subgroups using positive and negative symptoms or schizotypy scores. A multinomial random-effects logistic regression model was used to identify predictors of latent subgroups. Patients had decreasing, increasing, and relapsing symptoms course. Unaffected siblings and healthy controls had three to four subgroups characterized by stable, decreasing, or increasing schizotypy. PRSSCZ did not predict the latent subgroups. Baseline symptoms severity in patients, premorbid adjustment, depressive symptoms, and quality of life in siblings predicted long-term trajectories while were nonsignificant in controls. In conclusion, up to four homogenous latent subgroups of symptom course can be distinguished within patients, siblings, and controls, while non-genetic factors are the main factors associated with the latent subgroups.

Understanding Lifelong Factors and Prediction Models of Social Functioning After Psychosis Onset Using the Large-Scale GROUP Cohort Study.

BACKGROUND AND HYPOTHESIS: Current rates of poor social functioning (SF) in people with psychosis history reach 80% worldwide. We aimed to identify a core set of lifelong predictors and build prediction models of SF after psychosis onset. STUDY DESIGN: We utilized data of 1119 patients from the Genetic Risk and Outcome in Psychosis (GROUP) longitudinal Dutch cohort. First, we applied group-based trajectory modeling to identify premorbid adjustment trajectories. We further investigated the association between the premorbid adjustment trajectories, six-year-long cognitive deficits, positive, and negative symptoms trajectories, and SF at 3-year and 6-year follow-ups. Next, we checked associations between demographics, clinical, and environmental factors measured at the baseline and SF at follow-up. Finally, we built and internally validated 2 predictive models of SF. STUDY RESULTS: We found all trajectories were significantly associated with SF (P < .01), explaining up to 16% of SF variation (R2 0.15 for 3- and 0.16 for 6-year follow-up). Demographics (sex, ethnicity, age, education), clinical parameters (genetic predisposition, illness duration, psychotic episodes, cannabis use), and environment (childhood trauma, number of moves, marriage, employment, urbanicity, unmet needs of social support) were also significantly associated with SF. After validation, final prediction models explained a variance up to 27% (95% CI: 0.23, 0.30) at 3-year and 26% (95% CI: 0.22, 0.31) at 6-year follow-up. CONCLUSIONS: We found a core set of lifelong predictors of SF. Yet, the performance of our prediction models was moderate.

Perceived stress and its associated factors among people living in post-war Districts of Northern Ethiopia: A cross-sectional study.

BACKGROUND: War and conflict environments result in long-term physical and psychological consequences. Sexual violence, displacement, malnutrition, death, illness, injury, torture, and disability are some of the physical effects, whereas stress, depression, aggressive behaviors, and anxiety are some of the emotional complications of war. Hence, evidence-based interventions are required particularly to monitor mental health disorders. Thus, we aimed to investigate the prevalence of perceived stress and its associated factors among people living in post-war situations, Northern Ethiopia. METHOD: A community-based cross-sectional study design was employed among 812 samples from April 1 to May 15, 2022. The study participants were selected using a multistage sampling technique. The data was collected through face-to-face interviews using a structured and pre-tested tool. Data were cleaned and entered into Epi-Data version 4.6 and transferred to SPSS version 25 for analysis. Binary logistic regression analysis was performed to identify determinants of perceived stress. The Hosmer-Lemeshow goodness-of-fit was applied to test for model fitness and a p-value of <0.05 was considered statistically significant. RESULT: The prevalence of perceived stress was 76.1%, 95% CI (72.9-78.8). Age above 45 years (AOR (CI) = 2.45 (1.07-5.62), poor educational level (AOR (CI) = 5.92 (2.36-14.8), large family size (AOR (CI) = 0.48 (0.31-0.74), alcohol consumption (AOR (CI) = 0.63 (0.42-0.94), smoking (AOR (CI) = 0.17 (0.06-0.56), and exposure to multiple traumatic events (AOR (CI) = 2.38 (1.23-4.62) have shown a statistically significant association with perceived stress. CONCLUSION: This study revealed that more than three-fourths of participants living in post-war settings were found to have perceived stress. Older age, poor level of education, large family size, alcohol consumption, smoking, and the number of traumatic events were significant associates of perceived stress. Psychotherapy that can effectively address the medical, social, and psychological well-being of the community is important to reduce the burden of perceived stress.

Universal Health Coverage for Antiretroviral Treatment: A Review.

Universal health coverage is essential for the progress to end threats of the acquired immunodeficiency syndrome epidemic. The current review assesses the publication rate, strategies and barriers for antiretroviral therapy (ART) coverage, equity, quality of care, and financial protection. We searched Web of Science, PubMed, and Google Scholar. Of the available articles, 43.13% were on ART coverage, 40.28% were on financial protection, 10.43% were on quality of care, and 6.16% were on equity. A lack of ART, fear of unwanted disclosure, lack of transportation, unaffordable health care costs, long waiting time to receive care, and poverty were barriers to ART coverage. Catastrophic health care costs were higher among individuals who were living in rural settings, walked greater distances to reach health care institutions, had a lower socioeconomic status, and were immunocompromised. There were challenges to the provision of quality of care, including health care providers' inadequate salary, high workload and inadequate health workforce, inappropriate infrastructure, lack of training opportunities, unclear division of responsibility, and the presence of strict auditing. In conclusion, ART coverage was below the global average, and key populations were disproportionally less covered with ART in most countries. Huge catastrophic health expenditures were observed. UHC contexts of ART will be improved by reaching people with poor socioeconomic status, delivering appropriate services, establishing a proper health workforce and service stewardship.

HIV test coverage among pregnant women in Ethiopia: A systematic review and meta-analysis.

Introduction: A human immunodeficiency virus (HIV) test during pregnancy is the gateway to the prevention of mother-to-child transmission (PMTCT) of HIV. Estimating the national uptake of HIV tests among pregnant women is an important course of action. Thus, we pooled the information about the national uptake of HIV tests and determined the significant factors among pregnant women in Ethiopia.Methods: We searched PubMed, Scopus, Web of Science, and Google Scholar databases. We also searched for cross-references to get additional relevant studies, and included cross-sectional, case-control and cohort study studies. We applied a random-effects model meta-analysis to pool the national data of uptake of HIV tests. Galbraith's plot and Egger's regression test were employed to check publication bias, and heterogeneity was assessed using I ² statistics. The protocol registered is found in the PROSPERO database with the registration number CRD42019129166.Results: In total, 22 articles with 13 818 pregnant women study participants were involved. The national uptake of HIV tests among pregnant women was 79.6% (95% CI 73.9-85.4). Living in urban areas (AOR 2.8; 95% CI 1.1-4.6), previous HIV tests (AOR 4.6; 95% CI 1.2-8.0), and comprehensive knowledge on mother-to-child transmission (MTCT) (AOR 2.61; 95% CI 1.5-3.7) and PMTCT of HIV (AOR 2.1; 95% CI 1.5-2.8) were associated with increased practice of HIV tests.Conclusion: This review showed that HIV test coverage among pregnant women was approximately 80% and substantially lower than the national recommendation. Addressing HIV-related health services for rural women and providing health information on MTCT and PMTCT of HIV to increase HIV testing coverage is required.

Disclosure of HIV seropositivity to sexual partner in Ethiopia: A systematic review.

INTRODUCTION: In Ethiopia, the burden of HIV/AIDS is a public health issue that requires significant control of transmission. Once an infection has been established, determinants influence people living with HIV to disclose or not their HIV-positive status to sexual partners. This study assessed the proportion and associated factors of people living with HIV's disclosure status to sexual partners. METHODS: CRD42020149092 is the protocol's registration number in the PROSPERO database. We searched PubMed, Scopus, African Journals Online, and Google Scholar databases. For the subjective and objective assessment of publication bias, we used a funnel plot and Egger's regression test, respectively. The I2 statistic was used to assess variation across studies. Meta-analysis of weighted inverse variance random-effects model was used to estimate the pooled proportion. We conducted subgroup and sensitivity analyses to investigate the cause of heterogeneity and the impact of outliers on the overall estimation, respectively. A trend analysis was also performed to show the presence of time variation. RESULTS: The percentage of people living with HIV who disclosed their HIV-positive status to sexual partners was 76.03% (95% confidence interval: 68.78, 83.27). Being on antiretroviral therapy (adjusted odds ratio = 6.19; 95% confidence interval: 2.92, 9.49), cohabiting with partner (adjusted odds ratio = 4.48; 95% confidence interval: 1.24, 7.72), receiving HIV counseling (adjusted odds ratio = 3.94; 95% confidence interval: 2.08, 5.80), having discussion prior to HIV testing (adjusted odds ratio = 4.40; 95% confidence interval: 2.11, 6.69), being aware of partner's HIV status (adjusted odds ratio = 6.08; 95% confidence interval: 3.05, 9.10), positive relationship with partner (adjusted odds ratio = 4.44; 95% confidence interval:1.28, 7.61), and being member of HIV association (adjusted odds ratio = 3.70; 95% confidence interval: 2.20, 5.20) had positive association with HIV status disclosure. CONCLUSION: In Ethiopia, more than one-fourth of adults living with HIV did not disclose their HIV-positive status to sexual partners. HIV-positive status disclosure was influenced by psychosocial factors. A multidimensional approach is required to increase seropositive disclosure in Ethiopia.

The Magnitude of Neonatal Mortality and Its Predictors in Ethiopia: A Systematic Review and Meta-Analysis.

BACKGROUND: Although neonatal death is a global burden, it is the highest in sub-Saharan African countries such as Ethiopia. Moreover, there is disparity in the prevalence and associated factors of studies. Therefore, this study was aimed at providing pooled national prevalence and predictors of neonatal mortality in Ethiopia. METHODS: The following databases were systematically explored to search for articles: Boolean operator, Cochrane Library, PubMed, EMBASE, Hinari, and Google Scholar. Selection, screening, reviewing, and data extraction were done by two reviewers independently using Microsoft Excel spreadsheet. The modified Newcastle-Ottawa Scale (NOS) and the Joanna Briggs Institute Prevalence Critical Appraisal tools were used to assess the quality of evidence. All studies conducted in Ethiopia and reporting the prevalence and predictors of neonatal mortality were included. Data were extracted using Microsoft Excel spreadsheet software and imported into Stata version 14s for further analysis. Publication bias was checked using funnel plots and Egger's and Begg's tests. Heterogeneity was also checked by Higgins's method. A random effects meta-analysis model with 95% confidence interval was computed to estimate the pooled effect size (i.e., prevalence and odds ratio). Moreover, subgroup analysis based on region, sample size, and study design was done. RESULTS: After reviewing 88 studies, 12 studies fulfilled the inclusion criteria and were included in the meta-analysis. Pooled national prevalence of neonatal mortality in Ethiopia was 16.3% (95% CI: 12.1, 20.6, I 2 = 98.8%). The subgroup analysis indicated that the highest prevalence was observed in the Amhara region, 20.3% (95% CI: 9.6, 31.1), followed by Oromia, 18.8% (95% CI: 11.9, 49.4). Gestational age [AOR: 1.32 (95% CI: 1.07, 1.58)], neonatal sepsis [AOR: 1.23 (95% CI: 1.05, 1.4)], respiratory distress syndromes (RDS) [AOR: 1.18 (95% CI: 0.87, 1.49)], and place of residency [AOR: 1.93 (95% CI: 1.13, 2.73)] were the most important predictors. CONCLUSIONS: Neonatal mortality in Ethiopia was significantly decreased. There was evidence that neonatal sepsis, gestational age, and place of residency were the significant predictors. RDS were also a main predictor of mortality even if not statistically significant. We strongly recommended that health care workers should give a priority for preterm neonates with diagnosis with sepsis and RDS.

Sociodemographic Factors Predicting Exclusive Breastfeeding in Ethiopia: Evidence from a Meta-analysis of Studies Conducted in the Past 10 Years.

OBJECTIVES: To investigate the association between EBF and educational status, household income, marital status, media exposure, and parity in Ethiopia. METHODS: PubMed, EMBASE, Web of Science, SCOPUS, CINAHL and WHO Global health library databases were searched using key terms for all studies published in English between September 2009 and March 2019. The methodological quality of studies was examined using the Newcastle-Ottawa Scale (NOS) for cross-sectional studies. To obtain the pooled odds ratio (OR), extracted data were fitted in a random-effects meta-analysis model. Statistical heterogeneity was quantified using Cochran's Q test, τ2, and I2 statistics. In addition, Jackknife sensitivity analysis, cumulative meta-analysis, and meta-regression analysis were conducted. RESULTS: Out of 553 studies retrieved, 31 studies fulfilled our inclusion criteria. Almost all included studies were conducted among mothers with newborn less than 23 months old. Maternal primary school education (OR 1.39; 95% CI 1.03-1.89; I2 = 86.11%), medium household income (OR 1.27; 95% CI 1.05-1.55; I2 = 60.9%) and being married (OR 1.39; 95% CI 1.05-1.83; I2 = 76.96%) were found to be significantly associated with EBF. We also observed an inverse dose-response relationship of EBF with educational status and income. However, EBF was not significantly associated with parity, media exposure, and paternal educational status. CONCLUSIONS: In this meta-analysis, we showed the relevant effect of maternal education, income, and marital status on EBF. Therefore, multifaceted, effective, and evidence-based efforts are needed to increase the national level of exclusive breastfeeding in Ethiopia.

Intestinal parasites and HIV in Ethiopian tuberclosis patients: A systematic review and meta-analysis.

BACKGROUND: The distribution of intestinal parasites among patients with tuberculosis in Ethiopia is not well understood. OBJECTIVE: This systematic review and meta-analysis was designed to determine the pooled national prevalence of intestinal parasites and its association with HIV among patients with tuberculosis in Ethiopia. METHODS: Original articles were searched in PubMed, Google Scholar, EMBASE, World Health Organization's HINARI portal, and supplemented by the hand searching of cross-references. Data were extracted using a standard data extraction checklist. Random-effects model was used to estimate the pooled prevalence of intestinal parasites and odds ratio of the association. The I 2 statistic was utilized to quantify statistical heterogeneity across studies. Funnel plot asymmetry and Egger regression tests were used to check for publication bias. The analysis was done by STATA version 14 for Windows. RESULTS: Of 725 identified studies, 12 articles were eligible for inclusion in the final analysis. The pooled national prevalence of intestinal parasites among patients with tuberculosis in Ethiopia was 36.1% (95% CI, 22.1-50.1; I 2 = 98.7%). Subgroup analysis based on study design indicated that the prevalence of intestinal parasite among case-control studies was 41.69% (95% CI, 28.6-54.8; I 2 = 95.1%). The odds of intestinal parasites among patients with tuberculosis-HIV coinfection was not significantly different compared with patients with tuberculosis without HIV/AIDS (odds ratio = 0.99; 95% CI, 0.7-4.7; P = 0.96). CONCLUSIONS: In Ethiopia, at least 1 out of 3 patients with tuberculosis have an intestinal parasite. These findings suggest a need of more attention on increasing screening tuberculosis patients for intestinal parasites and deworming interventions. (Curr Ther Res Clin Exp. 2020; 81:XXX-XXX).

The state of child nutrition in Ethiopia: an umbrella review of systematic review and meta-analysis reports.

BACKGROUND: Malnutrition remains to be a major public health problem in developing countries, particularly among children under-5 years of age children who are more vulnerable to both macro and micro-nutrient deficiencies. Various systematic review and meta-analysis (SRM) studies were done on nutritional statuses of children in Ethiopia, but no summary of the findings was done on the topic. Thus, this umbrella review was done to summarize the evidence from SRM studies on the magnitude and determinants of malnutrition and poor feeding practices among under-5 children in Ethiopia. METHODS: PubMed, Embase, Scopus, Web of Sciences, Cochrane Database of Systematic Reviews, Database of Abstracts of Reviews of Effects, and Google Scholar were searched for SRM studies on magnitude and risk factors of malnutrition and child feeding practice indicators in Ethiopia. The methodological quality of the included studies was assessed using the Assessment of Multiple Systematic Reviews (AMSTAR) tool. The estimates of the included SRM studies on the prevalence and determinants of stunting, wasting, underweight, and poor child feeding practices were pooled and summarized with random-effects meta-analysis models. RESULT: We included nine SRM studies, containing a total of 214,458 under-5 children from 255 observation studies. The summary estimates of prevalence of stunting, underweight, and wasting were 42% (95%CI = 37-46%), 33% (95%CI = 27-39%), and 15% (95%CI = 12-19%), respectively. The proportion of children who met the recommendations for timely initiation of breastfeeding, exclusive breastfeeding during the first 6 months, and timely initiation of complementary feeding were 65, 60, and 62%, respectively. The proportion of children who met the recommendations for dietary diversity and meal frequency were 20, and 56%, respectively. Only 10% of children fulfilled the minimum criteria of acceptable diet. There was a strong relationship between poor feeding practices and the state of malnutrition, and both conditions were related to various health, socio-economic, and environmental factors. CONCLUSION: Child malnutrition and poor feeding practices are highly prevalent and of significant public health concern in Ethiopia. Only a few children are getting proper complementary feeding. Multi-sectoral efforts are needed to improve children's feeding practices and reduce the high burden of malnutrition in the country.

A systematic review and narrative synthesis of data-driven studies in schizophrenia symptoms and cognitive deficits.

To tackle the phenotypic heterogeneity of schizophrenia, data-driven methods are often applied to identify subtypes of its symptoms and cognitive deficits. However, a systematic review on this topic is lacking. The objective of this review was to summarize the evidence obtained from longitudinal and cross-sectional data-driven studies in positive and negative symptoms and cognitive deficits in patients with schizophrenia spectrum disorders, their unaffected siblings and healthy controls or individuals from general population. Additionally, we aimed to highlight methodological gaps across studies and point out future directions to optimize the translatability of evidence from data-driven studies. A systematic review was performed through searching PsycINFO, PubMed, PsycTESTS, PsycARTICLES, SCOPUS, EMBASE and Web of Science electronic databases. Both longitudinal and cross-sectional studies published from 2008 to 2019, which reported at least two statistically derived clusters or trajectories were included. Two reviewers independently screened and extracted the data. In this review, 53 studies (19 longitudinal and 34 cross-sectional) that conducted among 17,822 patients, 8729 unaffected siblings and 5520 controls or general population were included. Most longitudinal studies found four trajectories that characterized by stability, progressive deterioration, relapsing and progressive amelioration of symptoms and cognitive function. Cross-sectional studies commonly identified three clusters with low, intermediate (mixed) and high psychotic symptoms and cognitive profiles. Moreover, identified subgroups were predicted by numerous genetic, sociodemographic and clinical factors. Our findings indicate that schizophrenia symptoms and cognitive deficits are heterogeneous, although methodological limitations across studies are observed. Identified clusters and trajectories along with their predictors may be used to base the implementation of personalized treatment and develop a risk prediction model for high-risk individuals with prodromal symptoms.

Association Between the Level of Reported Good Medication Adherence and the Geographic Location of a Patient's Residence and Presence of a Glucometer Among Adult Patients with Diabetes in Ethiopia: A Systematic and Meta-Analysis.

BACKGROUND: Diabetes mellitus (DM) is a major public health problem worldwide that was estimated to have affected the lives of 425 million people globally in 2017. The prevalence and mortality rates of DM have increased rapidly in low- and middle-income countries with an estimated 2.6 million cases of DM occurring in Ethiopia alone in 2015. OBJECTIVE: Considering that Ethiopia is undergoing an epidemiological transition, it is increasingly important to understand the significant influence DM has on Ethiopians annually. A systematic review and meta-analysis of the existing studies were conducted to better understand the factors that are associated with DM medication adherence across Ethiopia and to elucidate areas for further studies. METHODS: Studies were retrieved through search engines in Cumulative Index to Nursing and Allied Health Literature, Embase, Medline, PubMed, Google Scholar, Web of Science, Science Direct, and Scopus. The Newcastle-Ottawa Scale for cross-sectional studies was used to assess the critical appraisal of the included studies. Random effects model was used to estimate the association between the level of medication adherence and the geographic location of a patient's residence and presence of a glucometer at 95% CI with its respective odds ratio. Meta-regression was also used to identify the potential source of heterogeneity. Beggs and Egger tests were performed to determine publication bias. Subgroup analyses, based on the study area, were also performed. RESULTS: A total of 1046 articles were identified through searching, of which 19 articles representing 7756 participants were included for the final analysis stage. Reported good medication adherence among patients with diabetes in Ethiopia was 68.59% (95% CI, 62.00%-75.18%). Subgroup analysis was performed, and the pooled estimate of reported good medication adherence among these patients in regions outside Addis Ababa was 67.81% (95% CI, 59.96%-75.65%), whereas in Addis Ababa it was 70.37% (95% CI, 57.51%-83.23%). Patients who used a glucometer at home had an odds ratio of 2.12 (95% CI, 1.42-3.16) and thus reported good adherence. We found no statistically significant association between the geographic location of a patient's residence and a good level of reported medication adherence (odds ratio, 1.81; 95% CI, 0.78-4.21). CONCLUSIONS: Most adult patients with diabetes in these studies had a good level of reported DM medication adherence. Having a glucometer was significantly associated with reported increased medication adherence. Our findings suggest the need for interventions to improve diabetes medication adherence.

Association of schizophrenia polygenic risk score with data-driven cognitive subtypes: A six-year longitudinal study in patients, siblings and controls.

Cross-sectional studies have shown that the polygenic risk score for schizophrenia (PRSSCZ) may influence heterogeneity in cognitive performance although evidence from family-based longitudinal study is limited. This study aimed to identify trajectories of cognitive function and assess whether the PRSSCZ is associated with baseline cognitive performance and predicted six-year trajectories. We included 1119 patients with a schizophrenia spectrum disorder, and 1059 unaffected siblings and 586 unrelated controls who are eligible at baseline. Genotype data were collected at baseline, whereas clinical and sociodemographic data were collected at baseline, three and six years. Group-based trajectory modeling was applied on a weighted standardized composite score of general cognition to unravel cognitive subtypes and explore trajectories over time. We followed a standard procedure to calculate the polygenic risk score. A random-effects ordinal regression model was used to investigate the association between PRSSCZ and cognitive subtypes. Five cognitive subtypes with variable trajectories were found in patients, four in siblings and controls, and six in all combined samples. PRSSCZ significantly predicted poor cognitive trajectories in patients, siblings and all samples. After Bonferroni correction and adjustment for non-genetic factors, only the results in all combined sample remained significant. Cognitive impairment in schizophrenia is heterogeneous and may be linked with high PRSSCZ. Our finding confirmed at least in all combined samples the presence of genetic overlap between schizophrenia and cognitive function and can give insight into the mechanisms of cognitive deficits.

Incidence of respiratory distress and its predictors among neonates admitted to the neonatal intensive care unit, Black Lion Specialized Hospital, Addis Ababa, Ethiopia.

BACKGROUND: Although respiratory distress is one of the major causes of neonatal morbidity and mortality throughout the globe, it is a particularly serious concern for nations like Ethiopia that have significant resource limitations. Additionally, few studies have looked at neonatal respiratory distress and its predictors in developing countries, and thus we sought to investigate this issue in neonates who were admitted to the Neonatal Intensive Care Unit at Black Lion Specialized Hospital, Ethiopia. METHODS: An institution-based retrospective follow-up study was conducted with 571 neonates from January 2013 to March 2018. Data were collected by reviewing patients' charts using a systematic sampling technique with a pretested checklist. The data was then entered using Epi-data 4.2 and analyzed with STATA 14. Median time, Kaplan-Meier survival estimation curves, and log-rank tests were then computed. Bivariable and multivariable Gompertz parametric hazard models were fitted to detect the determinants of respiratory distress. The hazard ratio with a 95% confidence interval was subsequently calculated. Variables with reported p-values < 0.05 were considered statistically significant. RESULTS: The proportion of neonates with respiratory distress among those admitted to the Black Lion Specialized Hospital neonatal intensive care unit was 42.9% (95%CI: 39.3-46.1%) The incidence rate was 8.1/100 (95%CI: 7.3, 8.9). Significant predictors of respiratory distress in neonates included being male [Adjusted hazard ratio (HR): 2.4 (95%CI: 1.1, 3.1)], born via caesarean section [AHR: 1.9 (95%CI: 1.6, 2.3)], home delivery [AHR: 2.9 (95%CI: 1.5, 5,2)], maternal diabetes mellitus (AHR: 2.3 (95%CI: 1.4, 3.6)), preterm birth [AHR: 2.9 (95%CI: 1.6, 5.1)], and having an Apgar score of less than 7 [AHR: 3.1 (95%CI: 1.8, 5.0)]. CONCLUSIONS: In this study, the proportion of respiratory distress (RD) was high. Preterm birth, delivery by caesarean section, Apgar score < 7, sepsis, maternal diabetes mellitus, and home delivery were all significant predictors of this condition. Based on our findings this would likely include encouraging more hospital births, better control of diabetes in pregnancy, improved neonatal resuscitation and addressing ways to decrease the need for frequent caesarean sections.