Design of a new 3D printed all-in-one magnetic smartphone adapter for fundus and anterior segment imaging.

PURPOSE: To describe and validate a 3D-printed adapter tool which could be used with either a slit lamp or a condensing lens, interchangeable between devices through magnetic fastening, in order to provide physicians a quick, easy and effective method of obtaining clinical photos. MATERIALS AND METHODS: Three specialists, with at least 4-year experience in ophthalmology, gave a rate of image quality obtained by our device and the diagnostic confidence grade. The 3 specialists conducted each 13 or 14 examinations with the smartphone and magnetic adapter. At the end of evaluation, they rated with the Likert scale the ease of use of the device in obtaining clinical images of the anterior segment and ocular fundus respectively. RESULTS: Data of quality perception and confidence demonstrated high values not dissimilar to the "de visu" eye examination. Moreover the instrument we designed turned out to be very user friendly. CONCLUSION: Our adapter coupled with a modern smartphone was able to obtain 4k images and videos of anterior segment, central and peripheral fundus, in an easy and inexpensive way.

Changes over time of fruit, vegetable and sweets consumption among European adolescents and associations with sociodemographic characteristics: an HBSC study.

BACKGROUND: European adolescents do not eat enough fruits and vegetables and have a high sweets consumption. This study aims to analyse the changes in time of dietary behaviours related to sociodemographic characteristics, among European adolescents. METHODS: Health Behaviour in School Age Children data (2013/14 to 2017/18), of European adolescents, aged 11- to15-year-old, were used. Family Affluence Scale identified socioeconomic status (SES). Changes in time of dietary behaviours and associations with sociodemographic characteristics were estimated by binary and multilevel logistic regression. RESULTS: 182 719 adolescents were included, and 10/36 European countries showed a significant increase in daily fruit and vegetable consumption and 12/36 countries a significant decrease in sweets consumption over 4 years. The multilevel analysis showed that 13- and 15-year-old adolescents consumed fewer daily fruits and vegetables (P < 0.001) and more daily sweets (P < 0.001) than 11-year-old adolescents. Also, 15-year-old adolescents' sweets consumption change over time was less favourable (P = 0.006). Girls consumed more daily fruits, vegetables and sweets than boys (P < 0.001).Low SES adolescents consumed fewer daily fruits and vegetables than medium/high SES adolescents. Additionally, the low SES adolescents' vegetable consumption change over time was less favourable (P < 0.001). CONCLUSIONS: Dietary behaviour policy recommendations should be adapted for the sex, age and SES of the population.

Repeatability of swept-source optical coherence tomography angiography automated macular vessel density.

INTRODUCTION: Optical Coherence Tomography Angiography Ratio Analysis (OCTARA) is capable of visualizing inner and outer retinal vascular plexuses, choriocapillaris, and larger choroidal vasculature in vivo without contrast injection. The aim of this study was to assess the intrasession repeatability of automated vessel density measurements using Triton Swept-Source Optical Coherence Tomography Angiography (OCTA) innovative algorithm OCTARA in retinal and choroidal vasculature. METHODS: To study population between 65-90 years old with no eye diseases. For each subject measurements were performed four times. The intraclass correlation coefficient and the coefficient of variation were calculated to analyze repeatability of the OCTARA automatically generated vessel density measurements. RESULTS: A total of 35 eyes were included in the study. The intraclass correlation coefficient of the global vessel density in the superficial capillary plexus and the deep capillary plexus were 0.963 and 0.975, respectively, and the coefficient of variation were 5.4% and 4.4%, respectively. The intraclass correlation coefficient of the rest of the global measurements was indicative of good reliability with the exception of the deep choroid layer with an intraclass correlation coefficient of 0.6 indicative of moderate reliability. CONCLUSIONS: Our results proved excellent repeatability of automated vessel density measurements in the superficial and deep capillary plexus layers in our cohort using a OCTARA algorithm indicating that it may be a reliable diagnostic tool. It also showed good reliability in choriocapillary and mid choroid layer. These findings may be of value in assessing the significance of differences in capillary density measurements over time and across different settings.

Surviving indoor heat stress in United States: A comprehensive review exploring the impact of overheating on the thermal comfort, health, and social economic factors of occupants.

In the face of escalating global climate change and the increasing frequency of extreme heat events, the mitigation of building overheating has become an urgent priority. This comprehensive review converges insights from building science and public health domains to offer a thorough understanding of the multifaceted impacts of indoor overheating on occupants. The paper addresses a significant research gap by offering a holistic exploration of indoor overheating of residential buildings and its consequences, with a specific focus on the United States, an economically diverse nation that has been underrepresented in the literature. The review illuminates the effects of overheating on thermal comfort, health, and socio-economic aspects within the built environment. It emphasizes associated repercussions, including heightened cooling energy consumption, increased peak electricity demand, and elevated vulnerability, leading to exacerbated heat-related mortality and morbidity rates, especially among disadvantaged groups. The study concludes that vulnerabilities to these impacts are intricately tied to regional climatic conditions, highlighting the inadequacy of a one-size-fits-all approach. Tailored interventions for each climate zone are deemed necessary, considering the consistent occurrence of indoor temperatures surpassing outdoor levels, known as superheating, which poses distinct challenges. The research underscores the urgency of addressing indoor overheating as a critical facet of public health, acknowledging direct socioeconomic repercussions. It advocates for further research to inform comprehensive policies that safeguard public health across diverse indoor environments.

FAST® questionnaire for identifying glaucoma patients at risk for ocular surface disease.

OBJECTIVES: To evaluate the validity and reliability of the new Fast Assessment of the Ocular Surface Trouble (FAST®) questionnaire for identifying glaucoma or ocular hypertension (OHT) patients at risk of ocular surface disease (OSD). METHODS: A multicenter, international, cross-sectional, epidemiological survey evaluated the most accurate interview items and ocular signs on the initial 14-item version of FAST® to develop a shorter version for routine, quick clinical use. Rasch analysis and least absolute shrinkage and selection operator (LASSO) method was used to reduce the number of items on the questionnaire. Sensitivity and specificity of FAST® were assessed with receiver operating characteristic (ROC) curves for the detection of OSD with the questionnaire and ophthalmic assessment. RESULTS: A total of 2308 eyes (1154 patients) were analyzed in this study by 92 ophthalmologists. The initial version of the FAST® indicated 60% of the subjects had OSD. Rasch analysis allowed removal of some clinical signs. The LASSO method allowed elimination of some items from the original questionnaire for a 9-item and a 6-item version of FAST®. For the 6-item questionnaire, the sensitivity and specificity were 71.9% and 74.3% respectively and the area under the curve was 0.815. CONCLUSIONS: The FAST® questionnaire is a valid and reliable tool for use in routine clinical practice and in clinical trials. The short versions of the questionnaire allow quick detection of the majority of patients with OHT or glaucoma at risk of dry eye.

Prevalence and predictors of self-reported hearing aid use and benefit in Norway: the HUNT study.

BACKGROUND: Knowledge on hearing aid use and benefit is important to ensure appropriate and effective treatment. We aimed to assess prevalence and predictors of hearing aid use and benefit in Norway, as well as possible birth cohort changes. METHODS: We analyzed two large cross-sectional, population-based hearing surveys of 63,182 adults in 1996-1998 and 2017-2019 (the HUNT study). We used multivariable regression models to examine independent predictors of hearing aid use and benefit, including demography, hearing-related variables, known risk factors for hearing loss and birth cohort. RESULTS: The nationally weighted hearing aid use in the adult population increased from 4.2% in 1997 to 5.8% in 2018. The use among individuals with disabling hearing loss (≥ 35 dB HL) increased from 46.3% to 64.4%. Most users reported some (47%) or great (48%) help from their hearing aids. In addition to the level of hearing loss and birth cohort, factors associated with hearing aid use included lower age, tinnitus, childhood-onset hearing loss, higher education, marriage, having children, being exposed to occupational noise or impulse noise, recurrent ear infections, and head injury. In addition to the level of hearing loss, factors related to hearing aid benefit included younger age, female gender, and higher income. Being bothered by tinnitus reduced the benefit. CONCLUSION: Our study shows an increase in self-reported hearing aid usage over time in Norway, with lower adoption rates and perceived benefits observed among the elderly. The results suggest that having a spouse and children positively influences the adoption of hearing aids. These findings emphasize the necessity of customized strategies to address demographic disparities and the need for innovative enhancements in hearing rehabilitation programs.

The Evolution and Current Landscape of Minimally Invasive Glaucoma Surgeries: A Review.

This review examines the evolution, current status, and future potential of minimally invasive glaucoma surgeries (MIGS), a significant advancement in the treatment of glaucoma, a leading cause of irreversible blindness. MIGS offer a less invasive alternative to traditional glaucoma surgeries, primarily aimed at reducing intraocular pressure, minimizing tissue trauma, and providing a safer profile. With the emergence of devices such as the Trabectome, iStent, and others, MIGS have expanded the surgical toolkit, allowing personalized, patient-centered care. Despite their advantages, MIGS face challenges such as efficacy in severe cases, long-term data, and accessibility. Ongoing research and technological innovations continue to refine their capabilities and applications, promising to further transform glaucoma management and patient outcomes. This paper provides an in-depth analysis of MIGS, reflecting on their impact and contemplating future directions in this dynamically evolving field.

Despite multi-disciplinary team discussions the socioeconomic disparities persist in the oncological treatment of non-metastasized colorectal cancer.

BACKGROUND: The introduction of national guidelines should eliminate previously observed associations between socioeconomic status (SES) and colorectal cancer treatment. The aim of the study was to investigate whether inequalities remain. METHODS: CRCBaSe, a register-linkage originating from the Swedish Colorectal Cancer Registry, was used to identify information on patient and tumour characteristics, for 83,460 patients with stage I-III disease diagnosed 2008-2021. SES was measured as disposable income (quartiles) and the highest level of education. Outcomes of interest were emergency surgery, multidisciplinary team (MDT) conference discussion, and oncological treatment. Differences in treatment between SES groups were explored using multivariable logistic regression adjusted for year of diagnosis, age at diagnosis, sex, civil status, comorbidities, tumour location and stage. RESULTS: Patients in the highest income quartile had a lower risk of emergency surgery (OR 0.73 95%CI 0.68-0.80), a higher chance of being discussed at the preoperative (OR 1.39 95%CI 1.28-1.51) and postoperative MDT (OR 1.41 95%CI 1.30-1.53), receiving neoadjuvant (OR 1.15 95%CI 1.06-1.25) and adjuvant treatment (OR 2.04 95%CI 1.88-2.20). Higher education level increased the odds of MDT discussion but was not associated with oncological treatment. The proportion of patients discussed at the MDT increased, with almost all patients discussed since 2016. Despite this, treatment differences remained when patients diagnosed since 2016 were analysed separately. CONCLUSION: There were significant differences in how patients with different SES were treated for colorectal cancer. Further action is required to investigate the drivers of these differences as well as their impact on mortality and, ultimately, eliminate the inequalities.

Factors affecting retirement and workforce attrition in neurosurgery: results of a Council of State Neurosurgical Societies national survey.

OBJECTIVE: By 2030, the US will not have enough neurosurgeons to meet the clinical needs of its citizens. Replacement of neurosurgeons due to attrition can take more than a decade, given the time-intensive training process. To identify potential workforce retention targets, the authors sought to identify factors that might impact neurosurgeons' retirement considerations. METHODS: The Council of State Neurosurgical Societies surveyed practicing AANS-registered neurosurgeons via email link to an online form with 25 factors that were ranked using a Likert scale of importance regarding retirement from the field (ranging from 1 for not important to 3 for very important). All participants were asked: "If you could afford it, would you retire today?" RESULTS: A total of 447 of 3200 neurosurgeons (14%) responded; 6% had been in practice for less than 5 years, 19% for 6-15 years, 57% for 16-30 years, and 18% for more than 30 years. Practice types included academic (18%), hospital employed (31%), independent with academic appointment (9%), and full independent practice (39%). The most common practice size was between 2 and 5 physicians (46%), with groups of 10 or more being the next most common (20%). Career satisfaction, income, and the needs of patients were rated as the most important factors keeping neurosurgeons in the workforce. Increasing regulatory burden, decreasing clinical autonomy, and the burden of insurance companies were the highest rated for factors important in considering retirement. Subgroup analysis by career stage, practice size, practice type, and geographic region revealed no significant difference in responses. When considering if they would retire now, 45% of respondents answered "yes." Subgroup analysis revealed that midcareer neurosurgeons (16-25 years in practice) were more likely to respond "yes" than those just entering their careers or in practice for more than 25 years (p = 0.03). This effect was confirmed in multivariate logistic regression (p = 0.04). These surgeons found professional satisfaction (p = 0.001), recertification requirements (p < 0.001), and maintaining high levels of income (p = 0.008) important to maintaining employment within the neurosurgical workforce. CONCLUSIONS: This study demonstrates that midcareer neurosurgeons may benefit from targeted retention efforts. This effort should focus on maximizing professional satisfaction and financial independence, while decreasing the regulatory burden associated with certification and insurance authorization. End-of-career surgeons should be surveyed to determine factors contributing to resilience and persistence within the neurosurgical workforce.

Correlating area deprivation index with initial stage at presentation and with follow up and recurrence within an advanced practice provider-led survivorship clinic.

INTRODUCTION: Living in disadvantaged neighborhoods has been shown to result in worse healthcare outcomes. The Area Deprivation Index (ADI) is a metric that ranks neighborhoods by socioeconomic disadvantage utilizing numerous factors including income, education, employment, and housing quality. METHODS: A retrospective review of all patients who underwent surveillance in an APP-led head and neck cancer survivorship clinic from Dec 2016 to Oct 2020 at an academic tertiary care center were included. Tumor characteristics, visit frequency, recurrence, number of missed appointments, loss of follow up, and ADI scores were collected. RESULTS: 543 patients were included in the study. A majority were male (69.9 %) and white race (84.9 %) with an average age of 64.6 years old. Average ADI national percentile score was 71.6(range: 17 to 100). ADI national percentile score was not predictive of tumor characteristics at initial presentation: lymphovascular invasion (p = 0.940; OR 1.0 [95 % CI: 0.9 to 1.1]), extranodal extension (p = 0.576; OR 1.0 [95 % CI: 0.9 to 1.2]), positive margins (p = 0.069; OR 0.9 [95 % CI: 0.9 to 1.0]). ADI national percentile score was not significantly correlated with loss to follow up (p = 0.153; OR 1.2 [95 % CI: 0.9 to 1.7] or cancer recurrence (p = 0.594; OR 1.0 [95 % CI: 0.9 to 1.1]). Missing one or more clinic visits was correlated with loss to follow up (p = 0.029; OR 13.1 [95 % CI: 1.3 to 131.7]. CONCLUSION: Living in a disadvantaged neighborhood did not correlate with negative tumor characteristics, loss to follow up, or recurrence within an APP-led survivorship head and neck cancer clinic.

Trends and projections of inflammatory bowel disease at the global, regional and national levels, 1990-2050: a bayesian age-period-cohort modeling study.

BACKGROUND: Inflammatory bowel disease (IBD) is a global health concern with varying levels and trends across countries and regions. Understanding these differences is crucial for effective prevention and treatment strategies. METHODS: Using data from the 2019 Global Burden of Disease study, we examine IBD incidence, mortality, and disability-adjusted life years (DALYs) rates in 198 countries from 1990 to 2019. To assess changes in the burden of IBD, estimated annual percentage changes (EAPC) were calculated, and a Bayesian age-period-cohort model was used to predict the future 30-year trends of IBD. RESULTS: In 2019, there were 405,000 new IBD cases globally (95% uncertainty interval (UI) 361,000 to 457,000), with 41,000 deaths (95% UI 35,000 to 45,000) and 1.62million DALYs (95% UI 1.36-1.92million). The global age-standardized incidence rate in 2019 was 4.97 per 100,000 person-years (95% UI 4.43 to 5.59), with a mortality rate of 0.54 (95% UI 0.46 to 0.59) and DALYs rate of 20.15 (95% UI 16.86 to 23.71). From 1990 to 2019, EAPC values for incidence, mortality, and DALYs rates were - 0.60 (95% UI - 0.73 to - 0.48), - 0.69 (95% UI - 0.81 to - 0.57), and - 1.04 (95% UI - 1.06 to - 1.01), respectively. Overall, the burden of IBD has shown a slow decline in recent years. In SDI stratification, regions with higher initial SDI (high-income North America and Central Europe) witnessed decreasing incidence and mortality rates with increasing SDI, while regions with lower initial SDI (South Asia, Oceania, and Latin America) experienced a rapid rise in incidence but a decrease in mortality with increasing SDI. Predictions using a Bayesian model showed lower new cases and deaths from 2020 to 2050 than reference values, while the slope of the predicted incidence-time curve closely paralleled that of the 2019 data. CONCLUSION: Increasing cases, deaths, and DALYs highlight the sustained burden of IBD on public health. Developed countries have stabilized or declining incidence rates but face high prevalence and societal burden. Emerging and developing countries experience rising incidence. Understanding these changes aids policymakers in effectively addressing IBD challenges in different regions and economic contexts.

Quantitative assessment of Land use/land cover changes in a developing region using machine learning algorithms: A case study in the Kurdistan Region, Iraq.

The identification of land use/land cover (LULC) changes is important for monitoring, evaluating, and preserving natural resources. In the Kurdistan region, the utilization of remotely sensed data to assess the effectiveness of machine learning algorithms (MLAs) for LULC classification and change detection analysis has been limited. This study monitors and analyzes LULC changes in the study area from 1991 to 2021 using a quantitative approach with multi-temporal Landsat imagery. Five MLAs were applied: Support Vector Machine (SVM), Random Forest (RF), Artificial Neural Network (ANN), K-Nearest Neighbor (KNN), and Extreme Gradient Boosting (XGBoost). The results showed that the RF algorithm produced the most accurate maps of the three-decade study period, accompanied by a high kappa coefficient (0.93-0.97) compared with the SVM (0.91-0.95), ANN (0.91-0.96), KNN (0.92-0.96), and XGBoost (0.92-0.95) algorithms. Consequently, the RF classifier was implemented to categorize all obtainable satellite images. Socioeconomic changes throughout these transition periods were revealed by the change detection results. Rangeland and barren land areas decreased by 11.33 % (-402.03 km2) and 6.68 % (-236.8 km2), respectively. The transmission increases of 13.54 % (480.18 km2), 3.43 % (151.74 km2), and 0.71 % (25.22 km2) occurred in agricultural land, forest, and built-up areas, respectively. The outcomes of this study contribute significantly to LULC monitoring in developing regions, guiding stakeholders to identify vulnerable areas for better land use planning and sustainable environmental protection.

The prevalence of autism among children with albinism.

BACKGROUND: The association between Autism spectrum disorders (ASD) and visual impairment has been mentioned in the literature. The aim of our study was to investigate the prevalence of autism among children with albinism compared to the prevalence of ASD in children with visual impairment secondary to other causes. METHODS: Retrospective study of children with albinism from January 2015 to December 2020. A control group was created with children with early onset visual impairment of similar visual range and age, secondary to diagnosis other than albinism. Patients with associated Autism were identified in both groups. RESULTS: Seven hundred and eight children aged 1-18 years with visual impairment were included in the study. 401 children had a diagnosis of albinism, of whom 14 were also diagnosed with ASD. In the control group, composed of 307 patients, only 3 had ASD (p: 0·03). CONCLUSIONS: The prevalence of ASD in patients with albinism was 1 in 28, while in children with visual impairment from other causes was 1 in 102. We aim to raise awareness of the higher prevalence of autism in children diagnosed with albinism in order to reach earlier diagnosis and support.

Lifestyle patterns in European preschoolers: Associations with socio-demographic factors and body mass index.

BACKGROUND: Energy balance-related behaviours (EBRBs), that is, dietary intake, screen, outdoor play and sleep, tend to combine into 'lifestyle patterns', with potential synergistic influences on health. To date, studies addressing this theme mainly focused on school children and rarely accounted for sleep, with a cross-country perspective. OBJECTIVES: We aimed at comparing lifestyle patterns among preschool-aged children across Europe, their associations with socio-demographic factors and their links with body mass index (BMI). METHODS: Harmonized data on 2-5-year-olds participating in nine European birth cohorts from the EU Child Cohort Network were used (EBRBs, socio-demographics and anthropometrics). Principal component analysis and multivariable linear and logistic regressions were performed. RESULTS: The most consistent pattern identified across cohorts was defined by at least three of the following EBRBs: discretionary consumption, high screen time, low outdoor play time and low sleep duration. Consistently, children from low-income households and born to mothers with low education level had higher scores on this pattern compared to their socioeconomically advantaged counterparts. Furthermore, it was associated with higher BMI z-scores in the Spanish and Italian cohorts (ß = 0.06, 95% CI = [0.02; 0.10], both studies). CONCLUSION: These findings may be valuable in informing early multi-behavioural interventions aimed at reducing social inequalities in health at a European scale.

Mediation analysis of mental health characteristics linking social needs to life satisfaction among immigrants.

Background: Life satisfaction contributes to improved long and healthy lives, enhanced biological function, better mental health, and decreased mortality risks. Social needs (e.g., food security, employment, healthcare utilization) are important determinants of mental health and life satisfaction among immigrants. However, there is limited literature on how social needs influence mental health, which, in turn, affects life satisfaction among immigrants. We examined whether mental health influences the mechanisms of the relationship between social needs and life satisfaction among immigrants. Methods: We used the 2021 cross-sectional National Health Interview Survey data on U.S. immigrants (n = 4320) aged ≥18 years. We conducted weighted mediation analyses with multiple linear regression. Life satisfaction (scores 0-10; ≥1 as higher life satisfaction) was the dependent variable; independent variables were food security, employment, and healthcare utilization; and the mediator, serious psychological distress (SPD: scores 0-24; ≥1 as higher SPD). Results: The total effect (not accounting for SPD) of food insecurity (vs. secure) on life satisfaction was negative (ß = -0.61, p < 0.001); the direct effect (after accounting for SPD) was not statistically significant (ß = -0.21, p = 0.153), while the indirect effect (food insecurity's effect explained by SPD) was negative (ß = -0.40, p < 0.001). The total (ß = 0.32, p < 0.001), direct (ß = 0.24, p = 0.004), and indirect (ß = 0.09, p = 0.006) effects of being employed (vs. unemployed) on life satisfaction were positive. The total (ß = -0.12, p = 0.116) and direct (ß = -0.03, p = 0.683) effects of healthcare utilization within the past year (vs. more than a year) on life satisfaction were not statistically significant, whereas the indirect effect was negative (ß = -0.09, p < 0.001). Conclusions: SPD mediates the effect of food security, healthcare utilization, and employment on life satisfaction, suggesting the need to improve social needs and mental health among immigrants.

Identifying groups of children's social mobility opportunity for public health applications using k-means clustering.

Background: The Opportunity Atlas project is a pioneering effort to trace social mobility and adulthood socioeconomic outcomes back to childhood residence. Half of the variation in adulthood socioeconomic outcomes was explainable by neighborhood-level socioeconomic characteristics during childhood. Clustering census tracts by Opportunity Atlas characteristics would allow for further exploration of variance in social mobility. Our objectives here are to identify and describe spatial clustering trends within Opportunity Atlas outcomes. Methods: We utilized a k-means clustering machine learning approach with four outcome variables (individual income, incarceration rate, employment, and percent of residents living in a neighborhood with low levels of poverty) each given at five parental income levels (1st, 25th, 50th, 75th, and 100th percentiles of the national distribution) to create clusters of census tracts across the contiguous United States (US) and within each Environmental Protection Agency region. Results: At the national level, the algorithm identified seven distinct clusters; the highest opportunity clusters occurred in the Northern Midwest and Northeast, and the lowest opportunity clusters occurred in rural areas of the Southwest and Southeast. For regional analyses, we identified between five to nine clusters within each region. PCA loadings fluctuate across parental income levels; income and low poverty neighborhood residence explain a substantial amount of variance across all variables, but there are differences in contributions across parental income levels for many components. Conclusions: Using data from the Opportunity Atlas, we have taken four social mobility opportunity outcome variables each stratified at five parental income levels and created nationwide and EPA region-specific clusters that group together census tracts with similar opportunity profiles. The development of clusters that can serve as a combined index of social mobility opportunity is an important contribution of this work, and this in turn can be employed in future investigations of factors associated with children's social mobility.

Socioeconomic status and diabetes technology use in youth with type 1 diabetes: a comparison of two funding models.

Background: Technology use, including continuous glucose monitoring (CGM) and insulin pump therapy, is associated with improved outcomes in youth with type 1 diabetes (T1D). In 2017 CGM was universally funded for youth with T1D in Australia. In contrast, pump access is primarily accessed through private health insurance, self-funding or philanthropy. The study aim was to investigate the use of diabetes technology across different socioeconomic groups in Australian youth with T1D, in the setting of two contrasting funding models. Methods: A cross-sectional evaluation of 4957 youth with T1D aged <18 years in the national registry was performed to determine technology use. The Index of Relative Socio-Economic Disadvantage (IRSD) derived from Australian census data is an area-based measure of socioeconomic status (SES). Lower quintiles represent greater disadvantage. IRSD based on most recent postcode of residence was used as a marker of SES. A multivariable generalised linear model adjusting for age, diabetes duration, sex, remoteness classification, and location within Australia was used to determine the association between SES and device use. Results: CGM use was lower in IRSD quintile 1 in comparison to quintiles 2 to 5 (p<0.001) where uptake across the quintiles was similar. A higher percentage of pump use was observed in the least disadvantaged IRSD quintiles. Compared to the most disadvantaged quintile 1, pump use progressively increased by 16% (95% CI: 4% to 31%) in quintile 2, 19% (6% to 33%) in quintile 3, 35% (21% to 50%) in quintile 4 and 51% (36% to 67%) in the least disadvantaged quintile 5. Conclusion: In this large national dataset, use of diabetes technologies was found to differ across socioeconomic groups. For nationally subsidised CGM, use was similar across socioeconomic groups with the exception of the most disadvantaged quintile, an important finding requiring further investigation into barriers to CGM use within a nationally subsidised model. User pays funding models for pump therapy result in lower use with socioeconomic disadvantage, highlighting inequities in this funding approach. For the full benefits of diabetes technology to be realised, equitable access to pump therapy needs to be a health policy priority.

The school counselor's role in addressing ACEs: an intervention strategy.

Children growing up with unemployed parents may be at higher risk of adverse childhood experiences (ACEs). The role of school counselors in identifying and providing services to children at risk of ACEs is important. In addition, the intervention strategy is expected to bridge the role between schools and the government in overcoming the risks of ACEs in the community.