Explaining regional differences in mortality during the first wave of Covid-19 in Italy

Italy was hit harshly by the Covid-19 pandemic, registering more than 35,000 Covid-19 deaths between February and July 2020. During this first wave of the epidemic, the virus spread unequally across the country, with northern regions witnessing more cases and deaths. We investigate demographic and socio-economic factors contributing to the diverse regional impact of the virus during the first wave. Using generalized additive mixed models, we find that Covid-19 mortality at regional level is negatively associated with the degree of intergenerational co-residence, number of intensive care unit beds per capita, and delay in the outbreak of the epidemic. Conversely, we do not find strong associations for several variables highlighted in recent literature, such as population density or the share of the population who are older or have at least one chronic disease. Our results underscore the importance of context-specific analysis for the study of a pandemic.

COVID-19 and Historic Influenza Vaccinations in the United States: A Comparative Analysis

The COVID-19 vaccination effort is a monumental global challenge. Recognizing and addressing the causes of vaccine hesitancy will improve vaccine uptake. The primary objective of this study was to compare the COVID-19 vaccination rates in US counties to historical vaccination rates for influenza in persons aged 65 and older. The secondary objective was to identify county-level demographic, socioeconomic, and political factors that influence vaccination rates. County level data were obtained from publicly available databases for comparison and to create predictive models. Overall, in US counties the COVID-19 vaccination rate exceeded influenza vaccination rates amongst those aged 65 or older (69.4.0% vs. 44%, p < 0.0001). 2690 (83.4%) of 3224 counties had vaccinated 50% or more of their 65 and older residents in the first seven months of the COVID-19 vaccination roll out. There were 467 (14.5%) of 3223 counties in which the influenza vaccination rate exceeded the COVID-19 vaccination rate. Most of these counties were in the Southern region, were considered politically "red" and had a significantly higher non-Hispanic Black resident population (14.4% vs. 8.2%, p < 0.0001). Interventions intended to improve uptake should account for nuances in vaccine access, confidence, and consider factual social media messaging, especially in vulnerable counties.

Patient Characteristics and Emergency Treatment Orders in Three Florida Inpatient Psychiatric Units

Background

Florida law defines emergency treatment orders (ETOs) as an immediate administration of psychotropic medications to a person to expeditiously treat symptoms that may present an immediate danger to the safety of the person or others.1 There is currently little information on who receives ETOs. In this study, we aim to explore correlations between patients' demographics and administering ETOs in order to understand this cohort, which could allow for improved services and alternative interventions.

Methods

This retrospective study examined data from 1,460 adult patients who were admitted to an acute inpatient psychiatric unit from January 2015 to December 2017 and who received at least one ETO during their hospital admission.

Results

Results revealed that younger patients (18-25 years) were at increased risk of receiving more than one ETO (p=0.039) than patients who were 26 and older. Patients with an elevated body mass index (BMI) (25 kg/m2 or more) also had a significantly increased likelihood of being administered more ETOs (≥4 ETOs) than patients with a lower BMI (defined as less than 25 kg/m2 [p=0.037]). Moreover, patients with a length of stay (LOS) of more than 14 days were more likely to receive more ETOs compared to patients with LOS less than or equal to 14 days (p<0.001). Lastly, patients with a neurocognitive disorder and/or within the schizophrenia spectrum or other psychotic disorders were more likely to receive ETOs (p<0.001) than patients with other diagnoses.

Conclusion

There are some correlations in administering ETOs in that younger patients with an elevated BMI, longer LOS and certain diagnoses receive more ETOs. The reason for these findings is not clear. Therefore, prospective studies should be conducted in order to analyze these correlations.

Confounders in Identification and Analysis of Inflammatory Biomarkers in Cardiovascular Diseases

Proinflammatory biomarkers have been increasingly used in epidemiologic and intervention studies over the past decades to evaluate and identify an association of systemic inflammation with cardiovascular diseases. Although there is a strong correlation between the elevated level of inflammatory biomarkers and the pathology of various cardiovascular diseases, the mechanisms of the underlying cause are unclear. Identification of pro-inflammatory biomarkers such as cytokines, chemokines, acute phase proteins, and other soluble immune factors can help in the early diagnosis of disease. The presence of certain confounding factors such as variations in age, sex, socio-economic status, body mass index, medication and other substance use, and medical illness, as well as inconsistencies in methodological practices such as sample collection, assaying, and data cleaning and transformation, may contribute to variations in results. The purpose of the review is to identify and summarize the effect of demographic factors, epidemiological factors, medication use, and analytical and pre-analytical factors with a panel of inflammatory biomarkers CRP, IL-1b, IL-6, TNFa, and the soluble TNF receptors on the concentration of these inflammatory biomarkers in serum.

Psychometric properties of the standardized assessment of concussion in youth football: Validity, reliability, and demographic factors

The objective of this study was to determine the psychometrics (reliability, validity) of the original Standardized Assessment of Concussion (SAC) in a youth sample (ages 11 to 13). Demographic factors of race, level of vocabulary knowledge, mother's level of education were also considered. Over 150 youth football athletes completed the SAC and a brief battery of NIH Toolbox cognitive tests as part of a larger study on biomechanical factors in youth sport concussion. This was a within-subjects design (pre-season, post-season assessments), and correlational analysis of convergent and discriminant validity. Between groups analysis based on demographic differences was also employed. The pre-season SAC scores were not different by age; however, SAC scores were statistically different by race: t(155) = 3.162, p = .002, d = .519. Maternal level of education and participant vocabulary scores were related to racial group membership. Convergent and discriminant validity were established compared to NIH Toolbox tests of memory and speed. Pre-post-season tests for 108 participants established marginally acceptable test-retest reliability (ICC = .692). These data support the use of the original SAC in youth football although clinicians must be aware of racial differences in scores.

Prevalence of Maternal Postnatal Anxiety and Its Association With Demographic and Socioeconomic Factors: A Multicentre Study in Italy

Anxiety is a common perinatal disorder that can cause severe adverse consequences. This study (a) assesses the prevalence of maternal postnatal anxious symptomatology, and (b) analyses its association with demographic and socioeconomic variables as well as obstetric and other psychosocial variables. The assessment included 307 mothers aged ≥18 years with a biological baby aged ≤ 52 weeks and from seven Italian healthcare centres, evaluated using a Psychosocial and Clinical Assessment Form (also covering demographic and socioeconomic factors), and the state scale of the State-Trait Anxiety Inventory. We found an overall prevalence of self-reported postnatal anxious symptoms of 34.2%. More specifically, the prevalence was 34.5% at 1-24 weeks postpartum, and 30.8% at >24 weeks postpartum. No associations between postnatal anxious symptoms and demographic or socioeconomic variables were observed. As regards the other variables, the findings indicated antenatal depression or anxiety, parity, and current psychological support from the partner as having the strongest relationships.

Anxiety, Insomnia, and Napping Predict Poorer Sleep Quality in an Autistic Adult Population

Autistic adults have a high prevalence of sleep problems and psychiatric conditions. In the general population sleep problems have been associated with a range of demographic and lifestyle factors. Whether the same factors contribute to different types of disturbed sleep experienced by autistic adults is unknown and served as the main aim of this study. An online survey was conducted with 493 autistic adults. Demographic information (e.g., age, gender), about lifestyle (e.g., napping), and information about comorbid conditions was collected. The Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality and the Epworth Sleepiness Scale (ESS) was used to assess daytime somnolence. Stepwise multiple regression analyses were used to examine predictors of each subscale score on the PSQI, as well as PSQI and ESS total scores. Results indicated that individuals who reported having a diagnosis of anxiety and insomnia were more likely to have poorer sleep quality outcomes overall. Furthermore, individuals who reported habitually napping had higher daytime dysfunction, increased sleep disturbances, and increased daytime sleepiness. These results provide novel insights into the demographic and lifestyle factors that influence sleep quality and daytime somnolence in autistic adults and can be used for targeted sleep interventions.

Perfectionism in Adolescence: Associations With Gender, Age, and Socioeconomic Status in a Norwegian Sample

Background: Perfectionism in adolescence has received increased attention, but few studies have examined this in non-clinical samples. This study investigated perfectionism among adolescents from the general population in relation to demographic factors.

Methods: The present study is cross-sectional and draws on the epidemiological youth@hordaland study. The sample consisted of 10.217 adolescents aged 16–19 years (52.9% girls). Self-reported perfectionism was assessed by the EDI-P scale from the Eating Disorder Inventory with two dimensions of perfectionism, namely self-oriented (SOP) and socially prescribed (SPP) perfectionism, and a total score. Perfectionism was analyzed in relation to age, gender, and socioeconomic status (SES) by perceived economic well-being and parental education level. Chi-squared tests, t-tests, and regression analyses were performed.

Results: There were few gender differences on the mean scores on perfectionism, with similar levels on the total score of EDI-P and SOP, while girls scored slightly higher on SPP (p < 0.001). The latter gender difference represented a small effect size (Cohen's d = 0.053). Chi-square analyses with perfectionism split at the 90th percentile across gender showed that there were significantly more girls than boys among the high scorers both for EDI-P, EDI-SOP, and EDI-SPP. There were no significant differences between levels of perfectionism between the three age groups. The logistic regression analyses adjusted by age and gender showed that adolescents with a better perceived economic well-being had increased odds of high perfectionism. This was evident for overall EDI-P (OR = 1.760, 95% CI = 1.493–2.076), SOP (OR = 1.543, 95% CI = 1.292–1.843), and SPP (OR = 1.836, 95% CI = 1.559–2.163). Parental education was not significantly associated with perfectionism scores among the adolescents.

Conclusions: The levels of perfectionism were relatively similar between the genders in the present study, besides slightly higher SPP among girls than boys. There were also significantly more girls than boys among the high scorers on overall perfectionism, SOP, and SPP, respectively. High perfectionism was related to SES for perceived economic well-being, but not for parental education level. Implications for further research and clinical interventions were suggested.

Increases in noise complaints during the COVID-19 lockdown in Spring 2020: A case study in Greater London, UK

Many cities around the world have claimed that the enforcement of lockdown measures to contain the spread of COVID-19 and the corresponding limitations of human activities led to reduced environmental noise levels. However, noise complaints reported by many local authorities were on the rise soon after the local lockdowns came into force. This research took Greater London in the UK as a case study. The overall aim was examining how noise complaints changed during the first stages of the lockdown implementation, during Spring 2020, both locally and at city scale, and how urban factors may have been influencing them. Noise complaint and urban factor datasets from the Government's publicly available data warehouse were used. The results show that during the COVID-19 lockdown the number of noise complaints increased by 48%, compared with the same period during Spring 2019. In terms of noise sources, complaints about construction (36%) and neighbourhood (50%) noise showed significant increases. Urban factors, including housing and demographic factors, played a more significant role than the actual noise exposure to road and rail traffic noise, as derived from the London noise maps. In detail, the change rate of noise complaints was higher in areas with higher unemployment rates, more residents with no qualifications, and lower house price. It is expected that this study could help government with allocating resources more effectively and achieve a better urban environment.

Excess Mortality Associated With COVID-19 by Demographic Group: Evidence From Florida and Ohio

OBJECTIVE

COVID-19 mortality varies across demographic groups at the national level, but little is known about potential differences in COVID-19 mortality across states. The objective of this study was to estimate the number of all-cause excess deaths associated with COVID-19 in Florida and Ohio overall and by sex, age, and race.

METHODS

We calculated the number of weekly and cumulative excess deaths among adults aged ≥20 from March 15 through December 5, 2020, in Florida and Ohio as the observed number of deaths less the expected number of deaths, adjusted for population, secular trends, and seasonality. We based our estimates on death certificate data from the previous 10 years.

RESULTS

The results were based on ratios of observed-to-expected deaths. The ratios were 1.17 (95% prediction interval, 1.14-1.21) in Florida and 1.15 (95% prediction interval, 1.11-1.19) in Ohio. Although the largest number of excess deaths occurred in the oldest age groups, in both states the ratios of observed-to-expected deaths were highest among adults aged 20-49 (1.21; 95% prediction interval, 1.11-1.32). The ratio of observed-to-expected deaths for the Black population was especially elevated in Florida.

CONCLUSIONS

Although excess deaths were largely concentrated among older cohorts, the high ratios of observed-to-expected deaths among younger age groups indicate widespread effects of COVID-19. The high levels of observed-to-expected deaths among Black adults may reflect in part disparities in infection rates, preexisting conditions, and access to care. The finding of high excess deaths among Black adults deserves further attention.

Human and Zoonotic Dermatophytoses: Epidemiological Aspects

Introduction

Dermatophytes are a group of molds characterized by the ability to produce keratinases, thereby carving out for themselves specific ecological niches. Their traditional division into three genera, Trichophyton, Microsporum, and Epidermophyton has been expanded to nine and the species in each genus were modified. Dermatophytes are among the most prevalent causes of human and animal mycoses. Their epidemiology is influenced by various factors. These factors may be evolutive such as the predilected environment of the fungus, namely, humans (anthropophilic), animals (zoophilic), or environment (geophilic), is evolutionary and thus may require centuries to develop. Many other factors, however, result from a variety of causes, affecting the epidemiology of dermatophytoses within a shorter time frame.

Objective

This review aims at summarizing the factors that have modified the epidemiology of dermatophytoses during the last decades.

Results

Geographic and climatic conditions, demography such as age and gender, migration, socio-economic conditions, lifestyle, and the environment have had an impact on changes in the epidemiology of dermatophytoses, as have changes in the pattern of human interaction with animals, including pets, farm, and wild animals. A typical example of such changes is the increased prevalence of Trichophyton tonsurans, which spread from Latin America to the United States and subsequently becoming a frequent etiological agent of tinea capitis in Africa, Middle East, and other areas.

Conclusion

The comprehension of the epidemiology of dermatophytoses has a major bearing on their prevention and treatment. Since it is undergoing continuous changes, periodic assessments of the most recent developments of this topic are required. This article aims at providing such an overview.

Children hospitalised with four common viral diseases showed epidemiological differences but few socio-economic variations

AIM

This study explored the differences in demographic and socio-economic factors between children hospitalised due to four common viral infections.

METHODS

Demographic data were obtained from Statistics Sweden on >3000 children admitted to Astrid Lindgren Children's Hospital in 2009-2014 with rotavirus, influenza, respiratory syncytial virus (RSV) or chickenpox. We compared demographic and socio-economic factors between case groups using logistic regression with rotavirus cases as reference.

RESULTS

There were differences in the median age at admission; RSV cases were younger (0.4 years), influenza (2.4 years) and chickenpox cases (2.7 years) older than rotavirus cases (1.2 years). RSV, influenza and chickenpox cases lived in families with more children than rotavirus cases. RSV and influenza cases were more likely to have underlying chronic conditions. Mothers of RSV cases were more likely to be born in Sweden. Further socio-economic differences were not robustly confirmed in sensitivity analyses.

CONCLUSION

We found a few differences in demographic factors between children hospitalised with the four common infections, which were mainly explained by the epidemiology and transmission patterns of these infections.

Predictors of COVID-19-Confirmed Cases and Fatalities in 883 US Counties with a Population of 50,000 or More: Estimated Effect of Initial Prevention Policies

Control of diseases transmitted from person to person may be more effectively and less economically damaging if preventive and ameliorative efforts are focused on the more vulnerable local areas rather than entire countries, provinces, or states. The spread of the COVID-19 virus is highly concentrated in urban US counties. Sixteen factors known or thought to be related to spread of the COVID-19 virus were studied by Poisson regression analysis of confirmed cases and deaths in 883 US counties with a population of 50,000 or more as of May 31, 2020. Evidence of crowding in homes, workplaces, religious gatherings, preexisting health conditions in the population, and local economic and demographic conditions, with one exception, was predictive of incidence and mortality. Based on the correlation of cases and deaths to length of stay-at-home orders, the orders were associated with about 52% reduced cases and about 55% reduced deaths from those expected without the orders.

Consumption of carbonated soft drinks among Ghanaian adolescents: associations with socio-demographic factors, health risk factors and psychological distress

BACKGROUND

Carbonated soft drinks consumption is associated with weight gain and other chronic diseases.

AIM

To examine whether socio-demographic factors, health risk factors and psychological distress are associated with carbonated soft drink consumption among adolescents in selected senior high schools in Ghana.

METHODS

Data were obtained from the 2012 Ghana Global School-based Student Health Survey (GSHS). Participants consisted of 1756 school-going adolescents sampled using a two-stage cluster sampling method. Binomial logistic regression was used to determine whether socio-demographic factors, health risk factors and psychological distress were associated with consumption of soft drinks.

RESULTS

The prevalence of carbonated soft drinks consumption was 34.9%. Males (odds ratio (OR) = 0.73 (95% confidence intervals (CI) 0.59-0.92); p = 0.007), and participants with high socio-economic status (OR = 0.76 (95% CI 0.48-0.97); p = 0.033) had smaller odds for consumption of soft drinks. Also, adolescents in Senior High School (SHS) 3 (OR = 0.72 (95% CI 0.53-0.97); p = 0.034) and SHS 4 (OR = 0.63 (95% CI 0.43-0.91); p = 0.014) had smaller odds for soft drinks intake compared to those in SHS 1. Health risk factors associated with greater odds of high soft drink consumption were tobacco use (OR = 1.68, (95% CI 1.07-2.65); p = 0.025), fast food consumption (OR = 1.88, (95% CI 1.47-2.41); p = 0.011) and alcohol consumption (OR = 1.43, (95% CI 1.02-1.99); p = 0.039). Consuming adequate fruit (OR = 0.19 (95% CI 0.15-0.24); p = 0.000) and adequate vegetable (OR = 0.55 (95% CI 0.34-0.87); p = 0.011) were associated with lower odds for soft drink consumption. Adolescents who reported feeling anxious had smaller odds for soft drink intake (OR = 0.65, (95% CI 0.47-0.91); p = 0.011).

CONCLUSIONS

The findings from this study show that socio-demographic characteristics, health risk factors and psychological distress are associated with the soft drink consumption among adolescents in Ghana. Interventions aimed at reducing soft drink consumption and other health risk factors are needed.

Perceived discrimination and subjective well-being among Middle Eastern migrants in Australia: The moderating role of perceived social support

BACKGROUND

Middle Eastern (ME) migrants are vulnerable to developing mental health problems due to pre-migration and post-migration traumas and stresses. The evidence on the subjective well-being of ME migrants and its contributing factors is limited and inconclusive.

OBJECTIVES

The aim of this study is to examine the moderating role of perceived social support in the association between perceived discrimination and subjective well-being, after controlling for socio-demographic factors.

METHOD(S)

This cross-sectional survey study was conducted in Queensland, Australia. A total of 382 first-generation young adult ME migrants, aged between 20 to 39 years, completed a self-administered questionnaire. To analyse data, a series of three hierarchical multiple regression (HMR) analyses were conducted, one for each of the subjective well-being components (i.e., positive affect, negative affect, and satisfaction with life). The interaction between perceived social support and perceived discrimination for the prediction of subjective well-being components was further explored using simple slope analysis.

RESULTS

Gender was found to be a significant predictor of positive and negative affect. Education was found to predict satisfaction with life, but not positive and negative affect. Married migrants were found to have significantly higher life satisfaction, positive affect and lower negative affect. Perceived social support had a moderating role in the association between perceived discrimination and subjective well-being.

CONCLUSION

Considering the buffering role of perceived social support against the adverse effects of perceived discrimination on subjective well-being, organizations and individuals working with ME migrants should acknowledge the significance of social support and improve their capacity to deliver effective and appropriate social support services to migrants experiencing discrimination.

Determinants of psychological and social well-being among youth in Canada: investigating associations with sociodemographic factors, psychosocial context and substance use

INTRODUCTION

Positive mental health is an essential part of youth's healthy development. For instance, positive mental health is associated with greater self-reported physical health, closer relationships and fewer conduct problems in youth. As positive mental health promotion is a public health priority, examining its potential determinants is important.

METHODS

We analyzed data from students in Grades 7-12 (secondary I-V in Quebec), from nine Canadian provinces, who participated in the 2016/2017 Canadian Student Tobacco, Alcohol and Drugs Survey. Psychological and social well-being (PSWB) was assessed using the Children's Intrinsic Needs Satisfaction Scale (CINSS). We conducted linear regression analyses to determine associations of sociodemographic, psychosocial and substance use variables with overall CINSS scores (n = 37 897).

RESULTS

In general, youth in Canada reported fairly high PSWB. After adjusting for all included variables, being in a higher grade, being bullied, bullying others, reporting more behavioural problems and using cigarettes, e-cigarettes or cannabis at least once in the past 30 days were associated with lower overall CINSS scores for both male and female students. Reporting more prosocial behaviours was associated with higher overall scores for both sexes.

CONCLUSION

A number of sociodemographic, psychosocial and substance use factors are associated with PSWB among youth in Canada. Prospective longitudinal and intervention studies could examine whether changes in these potential risk/protective factors are accompanied by changes in positive mental health.

Social and Demographic Factors Associated with Postnatal Depression Symptoms among HIV-Positive Women in Primary Healthcare Facilities, South Africa

Background: Mothers living with HIV are at risk for mental health problems, which may have a negative impact on the management of their HIV condition and care of their children. Although South Africa has a high prevalence of HIV, there is a dearth of studies on sociodemographic predictors of postnatal depression (PND) among HIV-positive women in South Africa, even in KwaZulu Natal, a province with the highest prevalence of HIV in the country. Objective: The objective of the study was to determine sociodemographic factors associated with the prevalence of postnatal depression symptoms among a sample of HIV-positive women attending health services from primary healthcare facilities in Umhlathuze District, KwaZulu Natal. Methods: A quantitative cross-sectional survey was used to collect data from 386 HIV-positive women who had infants aged between 1 and 12 weeks. The Edinburgh Postnatal Depression Scale (EPNDS), to which sociodemographic questions were added, was used to collect data. Results: The prevalence of PND symptoms among this sample of 386 HIV-positive women was 42.5%. The age of the mothers ranged from 16 to 42 years, with a mean of 29 years. The majority of the mothers were single or never married (85.5%; n = 330), living in a rural setting (81.9%; n = 316%), with a household income of less than R 2000 (estimated 125 USD) per month (64.9%; n = 120). The government child support grant was the main source of income for most of the mothers (53%; n = 183). PND symptoms were significantly associated with the participant’s partner having other sexual partners (p-value < 0.001), adverse life events (p-value = 0.001), low monthly income (p-value = 0.015), and being financially dependent on others (p-value = 0.023). Conclusion: The prevalence of PND symptoms among the sample is high, with a number of social and demographic factors found to be significantly associated with PND. This requires the consideration of sociodemographic information in the overall management of both HIV and postnatal depression. Addressing the impact of these factors can positively influence the health outcomes of both the mother and the baby.

Health-related quality of life among oral and oropharyngeal cancer patients: An exploratory study

OBJECTIVES

To comprehensively explore the effect of several sociodemographic-, patient- and tumour-related factors on the health-related quality of life (HRQoL) of oral and oropharyngeal cancer patients.

METHODOLOGY

Patients diagnosed with oral and oropharyngeal cancers were included in the present cross-sectional study. Information pertaining to various sociodemographic-, patient- and tumour-related factors was recorded. HRQoL was assessed using standard 12-item Short Form Health Survey version 2 (SF12V2), and oral health-related quality of life (OHRQoL) was assessed by Oral Health Impact Profile-14 (OHIP).

RESULTS

A total of 108 patients participated in the present study. Results revealed that nodal metastasis, histological differentiation and pain were significant predictors of OHRQoL, while site, size, stage, histological differentiation and pain were significant predictors of HRQoL. Pain was the single most significant negative determinant of HRQoL that was associated with worst total OHIP (B = 2.01, β = 0.45, p < .0001), physical (B = -0.88, β = -0.21, p = .017) and mental (B = -1.00, β = -0.22, p = .016) component summary scores.

CONCLUSIONS

Number of sociodemographic-, patient- and tumour-related factors emerged as significant predictors of HRQoL and OHRQoL. Study results might help in formulating targeted treatment plan, optimising patient care and follow-up.

Warfarin dosing algorithms: A systematic review

Aims

Numerous algorithms have been developed to guide warfarin dosing and improve clinical outcomes. We reviewed the algorithms available for various populations and the covariates, performances and risk of bias of these algorithms.

Methods

We systematically searched MEDLINE up to 20 May 2020 and selected studies describing the development, external validation or clinical utility of a multivariable warfarin dosing algorithm. Two investigators conducted data extraction and quality assessment.

Results

Of 10 035 screened records, 266 articles were included in the review, describing the development of 433 dosing algorithms, 481 external validations and 52 clinical utility assessments. Most developed algorithms were for dose initiation (86%), developed by multiple linear regression (65%) and mostly applicable to Asians (49%) or Whites (43%). The most common demographic/clinical/environmental covariates were age (included in 401 algorithms), concomitant medications (270 algorithms) and weight (229 algorithms) while CYP2C9 (329 algorithms), VKORC1 (319 algorithms) and CYP4F2 (92 algorithms) variants were the most common genetic covariates. Only 26% and 7% algorithms were externally validated and evaluated for clinical utility, respectively, with <2% of algorithm developments and external validations being rated as having a low risk of bias.

Conclusion

Most warfarin dosing algorithms have been developed in Asians and Whites and may not be applicable to under‐served populations. Few algorithms have been externally validated, assessed for clinical utility, and/or have a low risk of bias which makes them unreliable for clinical use. Algorithm development and assessment should follow current methodological recommendations to improve reliability and applicability, and under‐represented populations should be prioritized.

Demographic factors, attitude and knowledge of persons with special needs towards COVID-19 in Nigeria: Implications for counselling and social policy

This study investigated demographic factors, attitude and knowledge of persons with special needs towards COVID-19 in Nigeria between 12 th and 25 th May, 2020. This cross-sectional online survey was conducted among 72 persons with special needs purposively selected from the six geo-political zones in Nigeria. A questionnaire comprising questions on demographic information (three), knowledge (24) and attitude (28) towards COVID-19 was completed via Google forms by the participants (r = 0.78). There were more males (51, 70.8%) than females (21, 29.2%) and the most common age group was 34-44 years (37.5%). The number of participants with a hearing impairment was 34 (47.2%) and the number with a visual impairment was 26 (36.1%). The results indicate adequate knowledge about the characteristics of COVID-19. It was found that 98.6% of the participants had heard about COVID-19; 94.4% were aware that COVID-19 is a contagious disease, 91.7% stated that COVID-19 is a virus and 88.9% reported correctly that the incubation period is 3-14 days. The knowledge about symptoms of COVID-19 among participants was high (x = 2.63; participants obtained 87.8% of the total achievable score for these questions). The knowledge about prevention and control of COVID-19 among participants needs was very high (x = 2.77; participants obtained 92.3% of the total achievable score for these questions). Attitude of participants towards the COVID-19 outbreak was positive and above average (x = 2.84). However, participants reported that it is hard to get palliatives or financial support from others during COVID-19 lockdown (52.8%) and that they feel frustrated by the uncaring attitude of the government towards them during COVID-19 lockdown (55.6%). On this basis, counselling and social policy implications were suggested including the provision of palliatives by the government and the need for widespread enlightenment among individuals with special needs on prevention of COVID-19.

Predictors of tacrolimus pharmacokinetic variability: current evidences and future perspectives

INTRODUCTION

In kidney transplantation, tacrolimus (TAC) is at the cornerstone of current immunosuppressive strategies. Though because of its narrow therapeutic index, it is critical to ensure that TAC levels are maintained within this sharp window through reactive adjustments. This would allow maximizing efficiency while limiting drug-associated toxicity. However, TAC high intra- and inter-patient pharmacokinetic (PK) variability makes it more laborious to accurately predict the appropriate dosage required for a given patient.

AREAS COVERED

This review summarizes the state-of-the-art knowledge regarding drug interactions, demographic and pharmacogenetics factors as predictors of TAC PK. We provide a scoring index for each association to grade its relevance and we present practical recommendations, when possible for clinical practice.

EXPERT OPINION

The management of TAC concentration in transplanted kidney patients is as critical as it is challenging. Recommendations based on rigorous scientific evidences are lacking as knowledge of potential predictors remains limited outside of DDIs. Awareness of these limitations should pave the way for studies looking at demographic and pharmacogenetic factors as well as gut microbiota composition in order to promote tailored treatment plans. Therapeutic approaches considering patients' clinical singularities may help allowing to maintain appropriate concentration of TAC.

[Temporal variations in excess mortality during phase 1 and phase 2 of the COVID-19 epidemic in Italy]

OBJECTIVES

to assess the temporal variation in excess total mortality and the portion of excess explained by COVID-19 deaths by geographical area, gender, and age during the COVID-19 epidemic.

DESIGN

descriptive analysis of temporal variations of total excess deaths and COVID-19 deaths in the phase 1 and phase 2 of the epidemic in Italy.

SETTING AND PARTICIPANTS

12 Northern cities and 20 Central-Southern cities from December 2019 to June 2020: daily mortality from the National Surveillance System of Daily Mortality (SiSMG) and COVID-19 deaths from the integrated COVID-19 surveillance system.

MAIN OUTCOME MEASURES

total mortality excess and COVID-19 deaths, defined as deaths in microbiologically confirmed cases of SARS-CoV-2, by gender and age groups.

RESULTS

the largest excess mortality was observed in the North and during the first phase of the epidemic. The portion of excess mortality explained by COVID-19 decreases with age, decreasing to 51% among the very old (>=85 years). In phase 2 (until June 2020), the impact was more contained and totally attributable to COVID-19 deaths and this suggests an effectiveness of social distancing measures.

CONCLUSIONS

mortality surveillance is a sensible information basis for the monitoring of health impact of the different phases of the epidemic and supporting decision making at the local and national level on containment measures to put in place in coming months.

Translator Exposure APIs: Open Access to Data on Airborne Pollutant Exposures, Roadway Exposures, and Socio-Environmental Exposures and Use Case Application

Environmental exposures have profound effects on health and disease. While public repositories exist for a variety of exposures data, these are generally difficult to access, navigate, and interpret. We describe the research, development, and application of three open application programming interfaces (APIs) that support access to usable, nationwide, exposures data from three public repositories: airborne pollutant estimates from the US Environmental Protection Agency; roadway data from the US Department of Transportation; and socio-environmental exposures from the US Census Bureau’s American Community Survey. Three open APIs were successfully developed, deployed, and tested using random latitude/longitude values and time periods as input parameters. After confirming the accuracy of the data, we used the APIs to extract exposures data on 2550 participants from a cohort within the Environmental Polymorphisms Registry (EPR) at the National Institute of Environmental Health Sciences, and we successfully linked the exposure estimates with participant-level data derived from the EPR. We then conducted an exploratory, proof-of-concept analysis of the integrated data for a subset of participants with self-reported asthma and largely replicated our prior findings on the impact of select exposures and demographic factors on asthma exacerbations. Together, the three open exposures APIs provide a valuable resource, with application across environmental and public health fields.

Demographic, Social, and Economic Factors of Internalizing Problems in Referred and Non-Referred Adolescents

Depressive symptoms and suicidal ideation are common internalizing problems during adolescence. Numerous studies have explored the role of certain demographic, social, and economic factors in their development in referred or non-referred adolescents, but not simultaneously in both groups. In this study, we examined the association between age, gender, parents’ educational level, and socioeconomic status (SES) and depressive symptoms and suicidal ideation in a referred group (n = 211) and a non-referred (n = 1401) group of adolescents. We also examined the moderating role that these factors play in the relationships between both internalizing problems. The results showed: higher levels of depressive symptoms and suicidal ideation in the referred group; an increase in both problems during early-to-middle adolescence in the non-referred group; an association between low SES and suicidal ideation in both groups; an association between low father’s education level and depressive symptoms in the non-referred group; and no gender differences in either of these two internalizing problems. The moderation analyses showed that age, in referred adolescents, and SES, in non-referred adolescents, moderated the relationship between depressive symptoms and suicidal ideation. This study contributes to the identification of groups of vulnerable adolescents that could constitute the target populations of preventive programs.

The impact of social capital, demographic factors, and coping strategies on community adaptation in supporting people with severe mental illness

Background: People with severe mental illness have the ability to live a satisfactory and independent life with the help of the community. Their adaptation to life’s challenges is a dynamic process, and the community plays an important role. This research, therefore, aims to address the question of how social capital, demographic factors, and coping strategies affect the community’s ability to adapt to people with severe mental illness.

Design and methods: The multi-stage random sampling was used to obtain data from 137 respondents from rural society using an analytic observational design and cross-sectional approach. In addition, the Somers’ D test was used to measure the effect of social capital, demographic factors, and coping strategies on community adaptation.

Results: The results showed a significant effect of social capital, demographic factors, and the coping strategy of community adaptation (P<0.05). Based on empirical research, access to social capital is critical in fostering community adaptation through its social participation, network, trust, coping strategies, and cooperation.

Conclusions: In conclusion, social capital, demographic factors, and coping strategies are significant factors in developing community adaptation of people with severe mental illness.