Do Youth Want Psychosocial Screenings in Diabetes Clinic? Profiles of Acceptability

Abstract Aims Psychosocial screenings are recommended and increasingly common in pediatric subspecialty clinics, though little is known about their acceptability. This study seeks to uncover profiles of acceptability and assess demographic and clinical correlates among adolescents with diabetes. Methods A sample of 124 adolescents (57.7% female) ages 12–21 years (M = 16.2 ± 2.3) completed screenings during routine diabetes appointments. K-means clustering of responses to acceptability items derived profiles; Analysis of Variance (ANOVA) and Chi-square tests assessed correlates. Results Adolescents with the most common profile (72.6%) placed high importance on medical providers’ awareness of their emotions and reported no difficulties/discomfort with the screener. These youth had moderate depressive symptoms, low diabetes distress, and low A1c. Those who fit a less common profile (18.5%) were uncomfortable with the screener and had the highest depressive symptoms and lowest A1c. Youth who fit a smaller profile (6.5%) endorsed technical difficulties and had high depressive symptoms and lowest diabetes distress. The smallest profile (2.4%, N = 3) had difficulty understanding and experienced discomfort with the screening and had the lowest depressive symptoms and the highest diabetes distress and A1c. These differences in depressive symptoms (F = 3.54, p = .017), A1c values (F = 4.03, p = .009), and diabetes distress (F = 3.27, p = .036) were significant though differences in age, gender, and diabetes duration were not. Conclusions Most youth responded favorably to in-clinic psychosocial screenings. Youth who were less satisfied were at increased risk for psychosocial and medical complications. Findings highlight areas of need, such as enhanced support with and an emphasized rationale for screenings, which may improve patient experience in subspecialty care.

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Relationship of Hydroxychloroquine and Ophthalmic Complications in Patients with Type 2 Diabetes in Taiwan

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18158154 ◽

2021 ◽

Vol 18 (15) ◽

pp. 8154

Author(s):

Hung-Chih Chen ◽

Hung-Yu Lin ◽

Michael Chia-Yen Chou ◽

Yu-Hsun Wang ◽

Pui-Ying Leong ◽

...

Keyword(s):

Type 2 Diabetes ◽

Conditional Logistic Regression ◽

Categorical Variables ◽

Control Group ◽

Case Group ◽

Research Database ◽

Continuous Variables ◽

Chi Square ◽

Increased Risk

The purpose of this study is to evaluate the relationship between hydroxychloroquine (HCQ) and diabetic retinopathy (DR) via the national health insurance research database (NHIRD) of Taiwan. All patients with newly diagnosed type 2 diabetes (n = 47,353) in the NHIRD (2000–2012) were enrolled in the study. The case group consists of participants with diabetic ophthalmic complications; 1:1 matching by age (±1 year old), sex, and diagnosis year of diabetes was used to provide an index date for the control group that corresponded to the case group (n = 5550). Chi-square test for categorical variables and Student’s t-test for continuous variables were used. Conditional logistic regression was performed to estimate the adjusted odds ratio (aOR) of DR. The total number of HCQ user was 99 patients (1.8%) in the case group and 93 patients (1.7%) in the control group. Patients with hypertension (aOR = 1.21, 95% CI = 1.11–1.31) and hyperlipidemia (aOR = 1.65, 95% CI = 1.52–1.79) significantly increased the risk of diabetic ophthalmic complications (p < 0.001). Conversely, the use of HCQ and the presence of rheumatoid diseases did not show any significance in increased risk of DR. HCQ prescription can improve systemic glycemic profile, but it does not decrease the risk of diabetic ophthalmic complications.

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756 The Moderating Influence of Depression on Insomnia and Suicidal Ideation in a Military Sample

SLEEP ◽

10.1093/sleep/zsab072.753 ◽

2021 ◽

Vol 44 (Supplement_2) ◽

pp. A294-A295

Author(s):

Emma Palermo ◽

Jennifer Goldschmied ◽

Elaine Boland ◽

Elizabeth A Klingaman ◽

Philip Gehrman ◽

...

Keyword(s):

Depressive Symptoms ◽

Suicidal Ideation ◽

Research University ◽

Negative Binomial ◽

Suicide Attempts ◽

Risk And Resilience ◽

Depression Severity ◽

Significant Interaction Effect ◽

Increased Risk ◽

The Impact

Abstract Introduction Military personnel are at an increased risk for suicide compared to the general population, making it important to develop a deeper understanding of which factors contribute to this elevated risk. Given that suicidal ideation (SI) is one of the strongest predictors of suicide attempts, understanding factors that underlie SI may improve prevention efforts. Insomnia and depression both serve as independent risk factors for SI, and therefore the aim of this study was to examine the extent to which depressive symptoms moderate the association between insomnia and SI. Methods Data were obtained from the All Army Study of the Army Study to Assess Risk and Resilience in Servicemembers (STARRS). Soldiers (n=21,450) completed questions related to suicidal ideation (5 items), depressive symptoms (9 items), and insomnia (5 items) based on symptom presence in the past 30 days. Items in each domain were summed to create a total severity score. GEE models using a negative binomial linking function were conducted to examine the impact of depression, insomnia, and their interaction on SI. Results Both depression (χ2 =117.56, p<0.001) and insomnia (χ2=11.79, p=0.0006) were found to have significant main effects on SI, and there was a significant interaction effect (χ2=4.52, p=0.0335). Follow up simple effects revealed that insomnia was no longer significantly associated with SI when depression severity was low, but was associated with SI in the presence of greater depression severity (χ2=2.91, p=0.0882). Conclusion In a large sample of Army soldiers, depression significantly moderated the association between SI and insomnia, such that insomnia seems to amplify the effects of depression on SI. These findings highlight the importance of addressing insomnia severity as a mean of reducing SI in those with depression, potentially allowing for intervention prior to a suicide attempt. Support (if any) Perlis: K24AG055602 & R01AG041783. This publication is based on public use data from Army STARRS (Inter-university Consortium for Political and Social Research, University of Michigan- http://doi.org/10.3886/ICPSR35197-v1), funded by U.S. NIMH-U01MH087981.

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Role of depressive symptoms in cardiometabolic diseases and subsequent transitions to all-cause mortality: an application of multistate models in a prospective cohort study

Stroke and Vascular Neurology ◽

10.1136/svn-2020-000693 ◽

2021 ◽

pp. svn-2020-000693

Author(s):

Yanan Qiao ◽

Siyuan Liu ◽

Guochen Li ◽

Yanqiang Lu ◽

Ying Wu ◽

...

Keyword(s):

Heart Disease ◽

Depressive Symptoms ◽

Depression Scale ◽

European Population ◽

Multistate Models ◽

Cardiometabolic Diseases ◽

Increased Risk ◽

All Cause Mortality ◽

Patients With Diabetes

Background and purposeThe role of depression in the development and outcome of cardiometabolic diseases remains to be clarified. We aimed to examine the extent to which depressive symptoms affect the transitions from healthy to diabetes, stroke, heart disease and subsequent all-cause mortality in a middle-aged and elderly European population.MethodsA total of 78 212 individuals aged ≥50 years from the Survey of Health Ageing and Retirement in Europe were included. Participants with any baseline cardiometabolic diseases including diabetes, stroke and heart disease were excluded. Depressive symptoms were measured by the Euro-Depression scale at baseline. Participants were followed up to determine the occurrence of cardiometabolic diseases and all-cause mortality. We used multistate models to estimate the transition-specific HRs and 95% CIs after adjustment of confounders.ResultsDuring 500 711 person-years of follow-up, 4742 participants developed diabetes, 2173 had stroke, 5487 developed heart disease and 7182 died. Depressive symptoms were significantly associated with transitions from healthy to diabetes (HR: 1.12, 95% CI: 1.05 to 1.20), stroke (HR: 1.31, 95% CI: 1.18 to 1.44), heart disease (HR: 1.26, 95% CI: 1.18 to 1.34) and all-cause mortality (HR: 1.41, 95% CI: 1.34 to 1.49). After cardiometabolic diseases, depressive symptoms were associated with the increased risk of all-cause mortality in patients with diabetes (HR: 1.54, 95% CI: 1.25 to 1.89), patients who had stroke (HR: 1.29, 95% CI: 1.03 to 1.61) and patients with heart disease (HR: 1.21, 95% CI: 1.02 to 1.44).ConclusionsDepressive symptoms increase the risk of diabetes, stroke and heart disease, and affect the risk of mortality after the onset of these cardiometabolic conditions. Screening and treatment of depressive symptoms may have profound implications for the prevention and prognosis of cardiometabolic diseases.

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The non-specific nature of mental health and structural brain outcomes following childhood trauma

Psychological Medicine ◽

10.1017/s0033291721002439 ◽

2021 ◽

pp. 1-10

Author(s):

Theresa K. Haidl ◽

Dennis M. Hedderich ◽

Marlene Rosen ◽

Nathalie Kaiser ◽

Mauro Seves ◽

...

Keyword(s):

Mental Health ◽

Risk Factor ◽

Depressive Symptoms ◽

Childhood Trauma ◽

Brain Structure ◽

Mental Health Disorders ◽

Recent Onset ◽

Increased Risk ◽

Health Disorders ◽

Structural Brain

Abstract Background Childhood trauma (CT) is associated with an increased risk of mental health disorders; however, it is unknown whether this represents a diagnosis-specific risk factor for specific psychopathology mediated by structural brain changes. Our aim was to explore whether (i) a predictive CT pattern for transdiagnostic psychopathology exists, and whether (ii) CT can differentiate between distinct diagnosis-dependent psychopathology. Furthermore, we aimed to identify the association between CT, psychopathology and brain structure. Methods We used multivariate pattern analysis in data from 643 participants of the Personalised Prognostic Tools for Early Psychosis Management study (PRONIA), including healthy controls (HC), recent onset psychosis (ROP), recent onset depression (ROD), and patients clinically at high-risk for psychosis (CHR). Participants completed structured interviews and self-report measures including the Childhood Trauma Questionnaire, SCID diagnostic interview, BDI-II, PANSS, Schizophrenia Proneness Instrument, Structured Interview for Prodromal Symptoms and structural MRI, analyzed by voxel-based morphometry. Results (i) Patients and HC could be distinguished by their CT pattern with a reasonable precision [balanced accuracy of 71.2% (sensitivity = 72.1%, specificity = 70.4%, p ≤ 0.001]. (ii) Subdomains ‘emotional neglect’ and ‘emotional abuse’ were most predictive for CHR and ROP, while in ROD ‘physical abuse’ and ‘sexual abuse’ were most important. The CT pattern was significantly associated with the severity of depressive symptoms in ROD, ROP, and CHR, as well as with the PANSS total and negative domain scores in the CHR patients. No associations between group-separating CT patterns and brain structure were found. Conclusions These results indicate that CT poses a transdiagnostic risk factor for mental health disorders, possibly related to depressive symptoms. While differences in the quality of CT exposure exist, diagnostic differentiation was not possible suggesting a multi-factorial pathogenesis.

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The ANGPTL8 rs2278426 (C/T) Polymorphism Is Associated with Prediabetes and Type 2 Diabetes in a Han Chinese Population in Hebei Province

International Journal of Endocrinology ◽

10.1155/2020/1621239 ◽

2020 ◽

Vol 2020 ◽

pp. 1-8

Author(s):

Guangsen Hou ◽

Yong Tang ◽

Luping Ren ◽

Yunpeng Guan ◽

Xiaoyu Hou ◽

...

Keyword(s):

Type 2 Diabetes ◽

Chinese Population ◽

Han Chinese ◽

Hebei Province ◽

Control Group ◽

Chi Square ◽

Han Chinese Population ◽

Increased Risk ◽

Bonferroni Test

Background. Our aim was to investigate the association between the genetics of the angiopoietin protein-like 8 (ANGPTL8) rs2278426 (C/T) polymorphism with prediabetes (pre-DM) and type 2 diabetes (T2DM) in a Han Chinese population in Hebei Province, China. Methods. We enrolled 1,460 participants into this case-control study: healthy controls, n = 524; pre-DM, n = 460; and T2DM: n = 460. Ligase assays on blood samples from all participants were used to identify polymorphisms. Differences in genotype and allele distributions were compared by the chi-square test and one-way analysis of variance, and a post hoc pairwise analysis was performed using the Bonferroni test. The logistic regression technique was adjusted for age, sex, and body mass index. Results. The frequency of the TT (10.9%) genotype was significantly higher in pre-DM patients than in controls (odds ratio [OR] = 1.696, 95% confidence interval [CI] = 1.026–2.802, P = 0.039 ). In the T2DM group, the CT (48%) and TT (15%) genotypes were significantly higher compared with those in the control group (CT : OR = 1.384, 95% CI = 1.013–1.890, P = 0.041 ; TT : OR = 2.530, 95% CI = 1.476–4.334, P = 0.001 ). The frequency of the T allele was significantly higher in the pre-DM (32.8%) and T2DM (39%) groups compared with the control group (26.9%) and was significantly associated with an increased risk of pre-DM (OR = 1.253, 95% CI = 1.017–1.544, P = 0.034 ) and T2DM (OR = 1.518, 95% CI = 1.214–1.897, P = 0.001 ). Furthermore, insulin levels in the pre-DM and T2DM groups were significantly decreased in those with the TT genotype compared with the CC and CT genotypes. Conclusion. ANGPTL8 rs2278426 may be involved in the mechanism of insulin secretion and could lead to an increased risk of pre-DM and T2DM.

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Perinatal Outcomes of Small for Gestational Age in Twin Pregnancies: Twin vs. Singleton Charts

Journal of Clinical Medicine ◽

10.3390/jcm10040643 ◽

2021 ◽

Vol 10 (4) ◽

pp. 643

Author(s):

Veronica Giorgione ◽

Corey Briffa ◽

Carolina Di Fabrizio ◽

Rohan Bhate ◽

Asma Khalil

Keyword(s):

Birth Weight ◽

Preterm Birth ◽

Gestational Age ◽

Small For Gestational Age ◽

Perinatal Death ◽

Perinatal Outcomes ◽

Adverse Outcomes ◽

Chi Square ◽

Increased Risk ◽

Twin Pregnancies

Twin pregnancies are commonly assessed using singleton growth and birth weight reference charts. This practice has led to a significant number of twins labelled as small for gestational age (SGA), causing unnecessary interventions and increased risk of iatrogenic preterm birth. However, the use of twin-specific charts remains controversial. This study aims to assess whether twin-specific estimated fetal weight (EFW) and birth weight (BW) charts are more predictive of adverse outcomes compared to singleton charts. Centiles of EFW and BW were calculated using previously published singleton and twin charts. Categorical data were compared using Chi-square or McNemar tests. The study included 1740 twin pregnancies, with the following perinatal adverse outcomes recorded: perinatal death, preterm birth <34 weeks, hypertensive disorders of pregnancy (HDP) and admissions to the neonatal unit (NNU). Twin-specific charts identified prenatally and postnatally a smaller proportion of infants as SGA compared to singleton charts. However, twin charts showed a higher percentage of adverse neonatal outcomes in SGA infants than singleton charts. For example, perinatal death (SGA 7.2% vs. appropriate for gestational age (AGA) 2%, p < 0.0001), preterm birth <34 weeks (SGA 42.1% vs. AGA 16.4%, p < 0.0001), HDP (SGA 21.2% vs. AGA 13.5%, p = 0.015) and NNU admissions (SGA 69% vs. AGA 24%, p < 0.0001), when compared to singleton charts (perinatal death: SGA 2% vs. AGA 1%, p = 0.029), preterm birth <34 weeks: (SGA 20.6% vs. AGA 17.4%, p = 0.020), NNU admission: (SGA 34.5% vs. AGA 23.9%, p < 0.000). There was no significant association between HDP and SGA using the singleton charts (p = 0.696). In SGA infants, according to the twin charts, the incidence of abnormal umbilical artery Doppler was significantly more common than in SGA using the singleton chart (27.0% vs. 8.1%, p < 0.001). In conclusion, singleton charts misclassify a large number of twins as at risk of fetal growth restriction. The evidence suggests that the following twin-specific charts could reduce unnecessary medical interventions prenatally and postnatally.

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Abstract 11119: Real-Time Nanopore Sequencing for Bacterial Pneumonia After Out-of-Hospital Cardiac Arrest, a Pilot Proof-of-Concept Study

Circulation ◽

10.1161/circ.144.suppl_2.11119 ◽

2021 ◽

Vol 144 (Suppl_2) ◽

Author(s):

Alexandra Weissman ◽

Mariam Bramah Lawani ◽

Thomas Rohan ◽

Clifton W CALLAWAY

Keyword(s):

Patient Care ◽

Pathogen Detection ◽

Bacterial Pathogen ◽

Improve Patient Care ◽

Antibiotic Administration ◽

Nanopore Sequencing ◽

Proof Of Concept ◽

Chi Square ◽

Significant Difference ◽

Improve Patient

Introduction: Pneumonia is common after OHCA but is difficult to diagnose in the first 72 hours following ROSC, this results in early untargeted antibiotic administration based on non-specific imaging and laboratory findings. Antibiotic resistance is rising, is influenced by untargeted antibiotic administration, and can increase patient morbidity and mortality as well as healthcare costs. Precision methods of bacterial pathogen detection in OHCA patients are needed to improve patient care. This proof-of-concept pilot study aimed to assess feasibility of bacterial pathogen sequencing and comparability of sequencing results to clinical culture after OHCA. Methods: Blood and bronchoalveolar lavage (BAL) were obtained from residual clinical specimens collected within 12 hours of ROSC. Bacterial DNA was extracted using the Qiagen PowerLyzer PowerSoil DNA kit, sequenced using the MinION nanopore sequencer, and analyzed with Oxford Nanopore Technologies’ EPI2ME bioinformatics software. Sequencing results were compared to culture results using McNemar’s chi-square statistic. Study-defined pneumonia was based on presence of at least two characteristics within 72 hours of ROSC: fever (temperature ≥38°C); persistent leukocytosis >15,000 or leukopenia <3,500 for 48 hours; persistent chest radiography infiltrates for 48 hours per clinical radiology read; bacterial pathogen cultured. Results: We enrolled 38 consecutive OHCA subjects: mean age 61.8 years (18.0); 16 (42%) female; 25 (66%) White, 7 (18%) Black, 6 (16%) “Other” race; 7 subjects (18%) survived and 31 (82%) died; 16 (42%) subjects had pneumonia. Sequencing results were available in 12 hours while culture results were available in 48-72 hours after collection. There was a non-significant difference in the proportion of the same pathogens identified for each method per McNemar’s chi-square: p = 0.38, difference of 0.095 (-0.095, 0.286). Conclusions: Nanopore sequencing detects pathogenic bacteria comparable to clinical microbiologic culture and in less time. This technology can produce a paradigm shift in early bacterial pathogen detection in OHCA survivors, which can improve patient care. The technology is applicable to other patient populations and for viral and fungal pathogens.

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550-P: Unique Associations of Depressive Symptoms and Diabetes Distress with Quality of Life (QoL) in Youth with Type 1 Diabetes (T1D)

Diabetes ◽

10.2337/db21-550-p ◽

2021 ◽

Vol 70 (Supplement 1) ◽

pp. 550-P

Author(s):

AMIT SHAPIRA ◽

LISA K. VOLKENING ◽

LORI M. LAFFEL

Keyword(s):

Quality Of Life ◽

Type 1 Diabetes ◽

Depressive Symptoms ◽

Diabetes Distress

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The influence of workplace stress and coping on depressive symptoms among registered nurses in Bangladesh

Belitung Nursing Journal ◽

10.33546/bnj.1959 ◽

2022 ◽

Author(s):

Reva Mondal ◽

Yajai Sitthimongkol ◽

Nopporn Vongsirimas ◽

Natkamol Chansatitporn ◽

Kathy Hegadoren

Keyword(s):

Mental Health ◽

Depressive Symptoms ◽

Coping Strategies ◽

Registered Nurses ◽

Depression Scale ◽

Workplace Stress ◽

Unique Contribution ◽

Workplace Stressors ◽

Increased Risk ◽

The Relationship

Background: Nurses report high levels of workplace stress, which has been linked to an increased risk for experiencing depressive symptoms.Nurses’ workplace stress is also linked to increased absenteeism and decreased job satisfaction. Objectives: The objectives of this study were to examine: (1) the incidence of depressive symptoms among hospital-based registered nurses in Bangladesh; (2) common sources of workplace stress and their relationships to individual characteristics and depressive symptom scores; and (3) the potential mediating roles of coping strategies in the relationship between workplace stress and depressive symptoms. Methods: A cross-sectional study design involved three hundred and fifty-two registered nurses. Data were collected using a demographic questionnaire and three standardized tools measuring sources of nurses’ workplace stress, coping strategies, and depressive symptoms. Results: More than half of the participants scored ≥ 16 on the CES-D, which was associated with a major depression episode. Total NSS scores had a small but significant influence on scores on the depression scale. Coping strategies had no mediated effect on the relationship between workplace stress and scores on the depression scale. Low-reliability coefficients for subscales of two of the standardized tools highlight the challenge for researchers in developing countries to address contextual differences that may influence the meanings attached to individual items. Conclusion: Findings suggest that the mental health of registered nurses in Bangladesh requires immediate attention in part by attending to workplace stressors. Further research should focus on a deeper understanding of Bangladeshi registered nurses’ work experiences and the unique contribution that workplace stressors have on their physical and mental health.

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