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This is a proof-of-concept study to compare the effects of a 2-week program of “Remind-to-move” (RTM) treatment using closed-loop and open-loop wearables for hemiparetic upper extremity in patients with chronic stroke in the community. The RTM open-loop wearable device has been proven in our previous studies to be useful to address the learned nonuse phenomenon of the hemiparetic upper extremity. A closed-loop RTM wearable device, which emits reminding cues according to actual arm use, was developed in this study. A convenience sample of 16 participants with chronic unilateral stroke recruited in the community was engaged in repetitive upper extremity task-specific practice for 2 weeks while wearing either a closed-loop or an open-loop ambulatory RTM wearable device on their affected hand for 3 hrs a day. Evaluations were conducted at pre-/post-intervention and follow-up after 4 weeks using upper extremity motor performance behavioral measures, actual arm use questionnaire, and the kinematic data obtained from the device. Results showed that both open-loop and closed-loop training groups achieved significant gains in all measures at posttest and follow-up evaluations. The closed-loop group showed a more significant improvement in movement frequency, hand functions, and actual arm use than did the open-loop group. Our findings supported the use of closed-loop wearables, which showed greater effects in terms of promoting the hand use of the hemiparetic upper extremity than open-loop wearables among patients with chronic stroke.
Background: The WHO grade of meningioma was updated in 2021 to include homozygous deletions of CDKN2A/B and TERT promotor mutations. Previous work including the recent cIMPACT-NOW statement have discussed the potential value of including chromosomal copy number alterations to help refine the current grading system. Methods: Chromosomal copy number profiles were inferred from from 1964 meningiomas using DNA methylation. Regularized Cox regresssion was used to identify CNAs independenly associated with post-surgical and post-RT PFS. Outcomes were stratified by WHO grade and novel CNAs to assess their potential value in WHO critiera. Results: Patients with WHO grade 1 tumours and chromosome 1p loss had similar outcomes to those with WHO grade 2 tumours (median PFS 5.83 [95% CI 4.36-Inf] vs 4.48 [4.09-5.18] years). Those with chromosome 1p loss and 1q gain had similar outcomes to those with WHO grade 3 cases regardless of initial grade (median PFS 2.23 [1.28-Inf] years WHO grade 1, 1.90 [1.23-2.25] years WHO grade 2, compared to 2.27 [1.68-3.05] years in WHO grade 3 cases overall). Conclusions: We advocate for chromosome 1p loss being added as a criterion for a CNS WHO grade of 2 meningioma and addition of 1q gain as a criterion for a CNS WHO grade of 3.
Background: We previously developed a DNA methylation-based risk predictor for meningioma, which has been used locally in a prospective fashion. As a follow-up, we validate this model using a large prospective cohort and introduce a streamlined next-generation model compatible with newer methylation arrays. Methods: The performance of our next-generation predictor was compared with our original model and standard-of-care 2021 WHO grade using time-dependent receiver operating characteristic curves. A nomogram was generated by incorporating our methylation predictor with WHO grade and extent of resection. Results: A total of 1347 meningioma cases were utilized in the study, including 469 prospective cases from 3 institutions and a retrospective cohort of 100 WHO grade 2 cases for model validation. Both the original and next-generation models significantly outperformed 2021 WHO grade in predicting postoperative recurrence. Dichotomizing into grade-specific risk subgroups was predictive of outcome within both WHO grades 1 and 2 tumours (log-rank p<0.05). Multivariable Cox regression demonstrated benefit of adjuvant radiotherapy in high-risk cases specifically, reinforcing its informative role in clinical decision making. Conclusions: This next-generation DNA methylation-based meningioma outcome predictor significantly outperforms 2021 WHO grading in predicting time to recurrence. This will help improve prognostication and inform patient selection for RT.
Background: Meningiomas exhibit considerable heterogeneity. We previously identified four distinct molecular groups (immunogenic, NF2-wildtype, hypermetabolic, proliferative) which address much of this heterogeneity. Despite their utility, the stochasticity of clustering methods and the requirement of multi-omics data limits the potential for classifying cases in the clinical setting. Methods: Using an international cohort of 1698 meningiomas, we constructed and validated a machine learning-based molecular classifier using DNA methylation alone. Original and newly-predicted molecular groups were compared using DNA methylation, RNA sequencing, whole exome sequencing, and clinical outcomes. Results: Group-specific outcomes in the validation cohort were nearly identical to those originally described, with median PFS of 7.4 (4.9-Inf) years in hypermetabolic tumors and 2.5 (2.3-5.3) years in proliferative tumors (not reached in the other groups). Predicted NF2-wildtype cases had no NF2 mutations, and 51.4% had others mutations previously described in this group. RNA pathway analysis revealed upregulation of immune-related pathways in the immunogenic group, metabolic pathways in the hypermetabolic group and cell-cycle programs in the proliferative group. Bulk deconvolution similarly revealed enrichment of macrophages in immunogenic tumours and neoplastic cells in hypermetabolic/proliferative tumours. Conclusions: Our DNA methylation-based classifier faithfully recapitulates the biology and outcomes of the original molecular groups allowing for their widespread clinical implementation.
Background: The combination of PARP inhibitor and immune checkpoint inhibitors have been proposed as a potentially synergistic combinatorial treatment in IDH mutant glioma, targeting dysregulated homologous recombination repair pathways. This study analyzed the cell-free DNA methylome of patients in a phase 2 trial using the PARP inhibitor Olaparib and the PD-1 inhibitor Durvalumab. Methods: Patients with recurrent high-grade IDH-mutant gliomas were enrolled in a phase II open-label study (NCT03991832). Serum was collected at baseline and monthly and cell-free methylated DNA immunoprecipitation and high-throughput sequencing (cfMeDIP-seq) was performed. Binomial GLMnet models were developed and model performance was assessed using validation set data. Results: 29 patients were enrolled between 2020–2023. Patients received olaparib 300mg twice daily and durvalumab 1500mg IV every 4 weeks. The overall response rate was 10% via RANO criteria. 144 plasma samples were profiled with cfMeDIP-seq along with 30 healthy controls. The enriched circulating tumour DNA methylome during response periods exhibited a highly specific signature, accurately discriminating response versus failure (AUC 0.98 ± 0.03). Additionally, samples that were taken while on treatment were able to be discriminated from samples off therapy (AUC 0.74 ± 0.11). Conclusions: The cell-free plasma DNA methylome exhibits highly specific signatures that enable accurate prediction of response to therapy.
The Australian SKA Pathfinder (ASKAP) offers powerful new capabilities for studying the polarised and magnetised Universe at radio wavelengths. In this paper, we introduce the Polarisation Sky Survey of the Universe’s Magnetism (POSSUM), a groundbreaking survey with three primary objectives: (1) to create a comprehensive Faraday rotation measure (RM) grid of up to one million compact extragalactic sources across the southern $\sim50$% of the sky (20,630 deg$^2$); (2) to map the intrinsic polarisation and RM properties of a wide range of discrete extragalactic and Galactic objects over the same area; and (3) to contribute interferometric data with excellent surface brightness sensitivity, which can be combined with single-dish data to study the diffuse Galactic interstellar medium. Observations for the full POSSUM survey commenced in May 2023 and are expected to conclude by mid-2028. POSSUM will achieve an RM grid density of around 30–50 RMs per square degree with a median measurement uncertainty of $\sim$1 rad m$^{-2}$. The survey operates primarily over a frequency range of 800–1088 MHz, with an angular resolution of 20” and a typical RMS sensitivity in Stokes Q or U of 18 $\mu$Jy beam$^{-1}$. Additionally, the survey will be supplemented by similar observations covering 1296–1440 MHz over 38% of the sky. POSSUM will enable the discovery and detailed investigation of magnetised phenomena in a wide range of cosmic environments, including the intergalactic medium and cosmic web, galaxy clusters and groups, active galactic nuclei and radio galaxies, the Magellanic System and other nearby galaxies, galaxy halos and the circumgalactic medium, and the magnetic structure of the Milky Way across a very wide range of scales, as well as the interplay between these components. This paper reviews the current science case developed by the POSSUM Collaboration and provides an overview of POSSUM’s observations, data processing, outputs, and its complementarity with other radio and multi-wavelength surveys, including future work with the SKA.
A key step toward understanding psychiatric disorders that disproportionately impact female mental health is delineating the emergence of sex-specific patterns of brain organisation at the critical transition from childhood to adolescence. Prior work suggests that individual differences in the spatial organisation of functional brain networks across the cortex are associated with psychopathology and differ systematically by sex.
Aims
We aimed to evaluate the impact of sex on the spatial organisation of person-specific functional brain networks.
Method
We leveraged person-specific atlases of functional brain networks, defined using non-negative matrix factorisation, in a sample of n = 6437 youths from the Adolescent Brain Cognitive Development Study. Across independent discovery and replication samples, we used generalised additive models to uncover associations between sex and the spatial layout (topography) of personalised functional networks (PFNs). We also trained support vector machines to classify participants’ sex from multivariate patterns of PFN topography.
Results
Sex differences in PFN topography were greatest in association networks including the frontoparietal, ventral attention and default mode networks. Machine learning models trained on participants’ PFNs were able to classify participant sex with high accuracy.
Conclusions
Sex differences in PFN topography are robust, and replicate across large-scale samples of youth. These results suggest a potential contributor to the female-biased risk in depressive and anxiety disorders that emerge at the transition from childhood to adolescence.
Low vegetable intake is a key contributor to the health burden experienced by young adults in rural communities(1). Digital interventions provide an accessible delivery model that can be personalised to meet the diverse preferences of young adults(2). This study aimed to determine the feasibility, acceptability and efficacy of a personalised digital intervention to increase vegetable intake (Veg4Me), co-designed to meet the needs of young adults living in rural Australian communities(3). A 12-week assessor-blinded, two-arm, parallel randomised controlled trial was undertaken from August 2023 until April 2024. Young adults (18–35 years; consuming < 5 serves of vegetables/day; with an internet-connected device) living in Loddon Campaspe or Colac Otway Shire in Victoria, Australia, were recruited via social media and local government networks. Participants were randomised to receive 12 weeks of personalised (intervention) or non-personalised (control) support via a free web application (app; Veg4Me). Key features included 1) recipes personalised to users’ dietary and cooking preferences, 2) geo-located food environment map, 3) healthy eating resources, 4) goal-setting portal and 5) personalised e-newsletters. The primary outcome was feasibility: recruitment, participation and retention rate. Secondary outcomes were usability and user experience, perceived changed in vegetable intake, self-reported vegetable intake, and confidence to cook fresh green and root vegetables. Regression analyses (adjusted for baseline) were used to test for significant differences between groups. A total of n = 536 individuals registered on the Veg4Me website. After excluding fraudulent and duplicate responses (n = 289), n = 124 were eligible and provided consent to participate, n = 116 were randomised and n = 83 completed postintervention data collection. The recruitment rate was 47%, participation rate was 93% and retention rate was 72%. Compared to the control, more intervention participants were satisfied with Veg4Me (76% vs 52%). Most intervention participants reported that access to personalised recipes gave them confidence to eat a wider variety of vegetables (83%), while 76% accessed the food environment map, 63% accessed the healthy eating resources, 78% accessed the goal-setting function and 90% reported that the e-newsletters prompted them to access Veg4Me. Compared to the control, more intervention participants perceived that their vegetable intake had changed in the last 12 weeks (85% vs 57%; p = 0.013). Mean vegetable intake at 12 weeks in intervention and control participants was 2.7 (SD 1.0) and 2.7 (SD 1.4) serves/day, respectively (p = 0.67). Confidence to cook fresh green vegetables at 12 weeks in intervention and control participants was 93% and 91%, respectively (p = 0.24), while for root vegetables this was 88% and 81%, respectively (p = 0.11). Findings demonstrate the feasibility and acceptability of the Veg4Me intervention, and some evidence of efficacy. This study introduces a new strategy that has promise for addressing diet and health inequities experienced by young adults living in rural communities.
We provide an assessment of the Infinity Two fusion pilot plant (FPP) baseline plasma physics design. Infinity Two is a four-field period, aspect ratio $A = 10$, quasi-isodynamic stellarator with improved confinement appealing to a max-$J$ approach, elevated plasma density and high magnetic fields ($ \langle B\rangle = 9$ T). Here $J$ denotes the second adiabatic invariant. At the envisioned operating point ($800$ MW deuterium-tritium (DT) fusion), the configuration has robust magnetic surfaces based on magnetohydrodynamic (MHD) equilibrium calculations and is stable to both local and global MHD instabilities. The configuration has excellent confinement properties with small neoclassical transport and low bootstrap current ($|I_{bootstrap}| \sim 2$ kA). Calculations of collisional alpha-particle confinement in a DT FPP scenario show small energy losses to the first wall (${\lt}1.5 \,\%$) and stable energetic particle/Alfvén eigenmodes at high ion density. Low turbulent transport is produced using a combination of density profile control consistent with pellet fueling and reduced stiffness to turbulent transport via three-dimensional shaping. Transport simulations with the T3D-GX-SFINCS code suite with self-consistent turbulent and neoclassical transport predict that the DT fusion power$P_{{fus}}=800$ MW operating point is attainable with high fusion gain ($Q=40$) at volume-averaged electron densities $n_e\approx 2 \times 10^{20}$ m$^{-3}$, below the Sudo density limit. Additional transport calculations show that an ignited ($Q=\infty$) solution is available at slightly higher density ($2.2 \times 10^{20}$ m$^{-3}$) with $P_{{fus}}=1.5$ GW. The magnetic configuration is defined by a magnetic coil set with sufficient room for an island divertor, shielding and blanket solutions with tritium breeding ratios (TBR) above unity. An optimistic estimate for the gas-cooled solid breeder designed helium-cooled pebble bed is TBR $\sim 1.3$. Infinity Two satisfies the physics requirements of a stellarator fusion pilot plant.
The magnetohydrodynamic (MHD) equilibrium and stability properties of the Infinity Two fusion pilot plant baseline plasma physics design are presented. The configuration is a four-field period, aspect ratio $A = 10$ quasi-isodynamic stellarator optimised for excellent confinement at elevated density and high magnetic field $B = 9\,T$. Magnetic surfaces exist in the plasma core in vacuum and retain good equilibrium surface integrity from vacuum to an operational $\beta = 1.6 \,\%$, the ratio of the volume average of the plasma and magnetic pressures, corresponding to $800\ \textrm{MW}$ deuterium–tritium fusion operation. Neoclassical calculations show that a self-consistent bootstrap current of the order of ${\sim} 1\ \textrm{kA}$ slightly increases the rotational transform profile by less than 0.001. The configuration has a magnetic well across its entire radius. From vacuum to the operating point, the configuration exhibits good ballooning stability characteristics, exhibits good Mercier stability across most of its minor radius and it is stable against global low-n MHD instabilities up to $\beta = 3.2\,\%$.
Cognitive behavioural therapy for insomnia (CBT-I) is the recommended first-line treatment for insomnia. However, scaling this proven effective intervention to areas of high need remains a challenge, necessitating sensitive adaptation and evaluation.
Methods
A randomised waitlist-controlled trial evaluated the efficacy of a hybrid digital CBT-I and emotion regulation (dCBT-I + ER) intervention delivered through workplaces. Participants with at least mild insomnia and depression or anxiety symptoms were randomised to the intervention or waitlist control groups. The intervention was delivered via a web-based platform and four video-conferencing therapy sessions. Participants tracked their sleep using actigraphy and a sleep diary that was used to pace the intervention delivered. Assessments occurred at baseline and 8 weeks post-randomisation, measuring insomnia, depression, anxiety, psychological well-being, quality of life, and work productivity.
Results
Of the 159 participants (mean age 43.6 ± 9.4 years, 76.7% female, 80.5% white), 80 received the intervention and 79 were in the control group. The intervention group showed significant improvements in insomnia (F1, 134 = 71.46, p < .0001); depression (F1, 134 = 35.67, p < .0001); and anxiety (F1, 134 = 17.63, p < .0001), with large effect sizes (d = 0.7–1.5). Sleep diary data supported these findings, whereas actigraphy data did not. Improvements in psychological well-being were significant (F1, 132.13 = 10.64, p < 0.001), whereas quality of life, work productivity, and satisfaction outcomes were not.
Conclusions
This study suggests that a hybrid dCBT-I + ER intervention, delivered via workplaces, effectively improves insomnia, depression, and anxiety. It holds promise as a scalable solution, warranting further investigation into its long-term efficacy and economic impact.
To characterise food group consumption, assess the contribution of food groups to energy and micronutrient intake, and estimate usual nutrient intake among adults in rural Sri Lanka.
Design:
A baseline survey (December 2020–February 2021) was conducted as part of an agriculture-based, nutrition-sensitive resilience program evaluation. Dietary intake was assessed using telephone-based 24-h recalls (n 1283), with repeat recalls from 769 participants. Mean daily intake of food groups and their contribution to energy and nutrient intakes were calculated. The National Cancer Institute method was used to estimate usual intakes and the prevalence of adequate micronutrient intake (PAI). Differences by sex, district, and wealth were assessed using t tests and ANOVA.
Setting:
Forty-five rural villages throughout Sri Lanka.
Participants:
Men and women from households in the program evaluation study area.
Results:
On average, grains and coconut milk provided 56 % and 12 % of energy, respectively. Rice, fish, dairy, and pulses were the primary sources of micronutrients. Participants consumed 118 ± 117 g of vegetables and 71 ± 243 g of fruit per day. PAI was < 25 % for calcium, zinc, niacin, folate, and vitamins B6, B12, and C, reflecting low consumption of animal-source foods (80 g/day), whole grains, fruit, and vegetables (F&V). Significant differences in food group consumption by socio-demographic subgroup were observed among districts and wealth quintiles.
Conclusions:
We observed high consumption of rice and coconut milk and low prevalence of micronutrient adequacy. We recommend increasing animal-source food, whole grain, and F&V consumption to close nutrient gaps, as well as research to identify effective solutions to increase micronutrient intake.
We present the first results from a new backend on the Australian Square Kilometre Array Pathfinder, the Commensal Realtime ASKAP Fast Transient COherent (CRACO) upgrade. CRACO records millisecond time resolution visibility data, and searches for dispersed fast transient signals including fast radio bursts (FRB), pulsars, and ultra-long period objects (ULPO). With the visibility data, CRACO can localise the transient events to arcsecond-level precision after the detection. Here, we describe the CRACO system and report the result from a sky survey carried out by CRACO at 110-ms resolution during its commissioning phase. During the survey, CRACO detected two FRBs (including one discovered solely with CRACO, FRB 20231027A), reported more precise localisations for four pulsars, discovered two new RRATs, and detected one known ULPO, GPM J1839 $-$10, through its sub-pulse structure. We present a sensitivity calibration of CRACO, finding that it achieves the expected sensitivity of 11.6 Jy ms to bursts of 110 ms duration or less. CRACO is currently running at a 13.8 ms time resolution and aims at a 1.7 ms time resolution before the end of 2024. The planned CRACO has an expected sensitivity of 1.5 Jy ms to bursts of 1.7 ms duration or less and can detect $10\times$ more FRBs than the current CRAFT incoherent sum system (i.e. 0.5 $-$2 localised FRBs per day), enabling us to better constrain the models for FRBs and use them as cosmological probes.
Animal foods, especially dairy products, eggs and fish, are the main source of iodine in the UK. However, the use of plant-based alternative products (PBAP) is increasing owing to issues of environmental sustainability. We previously measured the iodine content of milk-alternatives(1) but data are lacking on the iodine content of other plant-based products and there is now a greater number of iodine-fortified products. We aimed to compare: (i) the iodine concentration of fortified and unfortified PBAP and (ii) the iodine concentration of PBAP with their animal-product equivalents, including those not previously measured such as egg and fish alternatives.
The iodine concentration of 50 PBAP was analysed in March 2022 at LGC using ICP-MS. The products were selected from a market survey of six UK supermarkets in December 2021. Samples of matrix-matched (e.g. soya/oat) fortified and unfortified alternatives to milk (n = 13 and n = 11), yoghurt (n = 2 and n = 7) and cream (n = 1 and n = 5) were selected for analysis, as well as egg- (n = 1) and fish-alternatives (n = 10). We compared the iodine concentration between PBAPs and data on their animal-product equivalents(2).
The iodine concentration of fortified PBAPs was significantly higher than that of unfortified products; the median iodine concentration of fortified vs. unfortified milk alternatives was 321 vs. 0.84 µg/kg (p<0.001) and of fortified and unfortified yoghurt alternatives was 212 µg/kg vs 3.03 µg/kg (p = 0.04). The fortified cream alternative had a higher iodine concentration than the unfortified alternatives (259 vs. 26.5 µg/kg). The measured iodine concentration of the fortified products differed from that of the product label (both lower and higher); overall, the measured iodine concentration was significantly higher than that stated on the label (mean difference 49.1 µg/kg; p = 0.018).
Compared to the animal-product equivalents, the iodine concentration of unfortified PBAPs was significantly lower for milk (p<0.001) and yoghurt (p<0.001), while there was no difference with fortified versions of milk (p = 0.28) and yoghurt (p = 0.09). The egg alternative had an iodine concentration that was just 0.6% of that of chicken eggs (3.38 vs. 560 µg/kg). Three (30%) of the fish alternatives had kelp/seaweed as ingredients and the median iodine concentration of these products was (non-significantly) higher than those without (126 vs 75 μg/kg; p = 0.83). However, the iodine content of all fish-alternative products was ten-times lower than that of fish (median 99 vs. 995 µg/kg; p<0.001).
The majority of PBAP are not fortified with iodine but those that are fortified have a significantly higher iodine concentration than unfortified products and are closer to the value of their animal equivalents. From an iodine perspective, unfortified plant-based alternatives are not suitable replacements and consumers should ensure adequate iodine from other dietary sources. Manufacturers should consider iodine fortification of a greater number of plant-based alternatives.
DNA profiles of 92 banana and plantain cultivars were generated with 12 amplified fragment length polymorphism (AFLP) primer pairs. The average polymorphism information content (PIC) values of the polymorphic AFLP markers varied from 0.270 to 0.341, and the profiles could distinguish all the 92 cultivars analysed. It was possible to identify differences between two accessions of the AAB genome cultivar Rasthali, indicating the presence of intra-cultivar genetic variation. A UPGMA (unweighted pair group method of arithmetical means) dendrogram generated with 1581 AFLP products identified four major clusters, each comprising cultivars of similar genomic constitution. All the ABB cultivars grouped in a single cluster, which was well separated from the rest. The within-group similarity coefficients indicated that the most diverse group was AAB, followed by AAA. However, significant genetic diversity was also present among AA, AB and ABB Indian banana cultivars, supporting the notion that India, along with other neighbouring south-eastern Asian countries, is the centre of diversity for cultivars of banana and plantain. The presence of substantial diversity among the banana and plantain landrace cultivars could be exploited in varietal improvement programmes.
Peanut (Arachis hypogaea L.) and maize (Zea mays L.) are essential crops for Ghana’s economy and food security, but weed infestation poses a significant threat to their cultivation. Crop rotations influence weed communities, but little is known about these processes in peanut-cropping systems in West Africa. This study investigated the impact of different crop rotations and input levels on weed communities in Ghana over 3 yr. Results showed that low inputs (absence of herbicide and fertilization) favored species richness, while higher input levels (weed control with herbicides and fertilizer use) reduced it. Diversity and evenness were also affected by inputs, with varying patterns across locations and seasons. Weed population growth rates (λ) varied significantly by location and treatment; all management programs resulted in increasing weed populations. Principal component analysis revealed distinct associations between weed species and crop management. The majority of weed species exhibited a generalist behavior and did not associate with a particular management. However, billygoat weed (Ageratum conyzoides L.) and Benghal dayflower (Commelina benghalensis L.) were positively associated with high-input systems, while purple nutsedge (Cyperus rotundus L.) exhibited strong associations with low and medium inputs. The weed–crop rotation dynamics described here demonstrate how management drives the selection of weed species that are more pervasive and interfere with important food crops in Ghanaian agriculture.
Adolescents with depression have distinct affective reactions to daily events, but current research is controversial. The emotional context insensitivity theory suggests blunted reactivity in depression, whereas the hypotheses of negative potentiation and mood brightening effect suggest otherwise. While nonlinear associations between depression severity and affective reactivity have been observed, studies with a separate subclinical group remain rare. Subthreshold depression (SD), defined by two to four symptoms lasting for two weeks or more, provides a dimensional view to the underpinnings of affective reactivity. In this study, we compared positive affect (PA) and negative affect (NA) reactivity to positive and negative daily events (uplifts and stress) among adolescents with Major Depressive Disorder (MDD), SD and healthy controls (HC) using experience sampling methods (ESM).
Objectives
We hypothesized a stepped difference in affective reactivity along the depression spectrum: the MDD group will have the strongest reactivity of PA and NA to uplifts and stress, followed by SD and HC.
Methods
Three groups (MDD, SD, and HC) of adolescents were recruited from an epidemiologic sample entitled ‘Hong Kong Child and Adolescent Psychiatric Epidemiologic Survey: Age 6 to 17’. Group status was determined by the Diagnostic Interview Schedule for Children Version 5. They completed an experience sampling diary on smartphone for 14 consecutive days, with 5-10 entries per day. Momentary levels of PA (happy, relaxed, contented), NA (irritated, low, nervous), uplifts and stress experienced before the entry were measured on a 1-7 Likert scale.
Results
The sample consisted of 19 adolescents with MDD, 30 with SD, and 59 HC. The M:F ratio was 17:19. The age range was 12-18 with a mean of 14.8. The overall ESM completion rate was 46%. The MDD group had the highest levels of stress and NA, and the lowest levels of uplifts and PA, followed by the SD and HC groups respectively (p<0.01). Across groups, levels of PA were positively associated with uplifts and negatively associated with stress, whereas levels of NA were positively associated with stress and negatively associated with uplifts. The Group x Uplift interaction effect on PA was significant, with greater PA reactivity in SD (p<0.01) and MDD (p=0.07) when compared with HC. The Group x Uplift interaction effect on NA was significant, with greater NA reactivity in SD than HC (p<0.01). The Group x Stress interaction effect on PA was significant, with greater PA reactivity in SD than HC (p<0.01) and MDD (p<0.01). The Group x Stress interaction effect with NA is non-significant.
Conclusions
Contrary to our hypothesis, adolescents with SD experienced strongest PA and NA reactivity in uplifts and PA reactivity in stress. It provides evidence towards a nonlinear relationship between severity of depression and affective reactivity.
Attention deficit hyperactivity disorder (ADHD) is a neurodevelopmental disorder commonly diagnosed in school-age children. However, it can affect individuals of all age groups. This study aimed to provide a comprehensive analysis of the prevalence of ADHD in adults by conducting an umbrella review of systematic reviews and meta-analyses.
Objectives
To provide a comprehensive synthesis of published evidence on the prevalence of Attention Deficit Hyperactivity Disorder (ADHD) in adults through an umbrella review of systematic reviews and meta-analyses, with the aim of highlighting the significance of addressing and managing ADHD in the adult population.
Methods
To conduct this study, we adhered to the guidelines outlined in the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA). We systematically searched databases such as PsychINFO, Web of Science, PubMed, and Scopus to identify relevant studies. Our review protocol was registered with PROSPERO (registration number: CRD42023389704). The quality of the studies included in our analysis was assessed using the A Measurement Tool to Assess Systematic Reviews (AMSTAR). For the purpose of conducting a meta-analysis, we employed a random-effects model.
Results
Our umbrella review examined findings from five systematic reviews that encompassed data from 57 unique international primary studies undertaken between 2009 and 2021. These studies involved a total of 21,142,129 adult participants. The meta-analysis, employing an inverse variance-weighted random effect model, yielded a pooled prevalence estimate for ADHD in adults of 3.10% (95% confidence interval: 2.60%–3.60%). Regarding ADHD subtypes, our analysis revealed that ADHD-I (inattentive type) remained the most prevalent among adults, followed by ADHD-HI (hyperactive type) and ADHD-C (combined type).
Conclusions
Our results underscore the relatively high prevalence of ADHD among adults, with ADHD-I emerging as the most common subtype. These findings emphasize the need for proactive measures to prevent, mitigate, identify, and effectively manage ADHD in the adult population.
Type 1 diabetes mellitus (T1DM) patients are treated via insulin which could result in weight gain. Studies have coined a new term, “Diabulimia” which refers to the limitation or skipping of insulin doses, with the objective of weight control. A previous meta-analysis has found that eating disorders (ED) are significantly associated with T1DM (Mannucci, E et al. J Endocrinol Invest 2005; 417-9), while a more recent one, has shown an insignificant association between ED and T1DM on analysis of diabetes-adapted questionnaires only (Young V, et al. Diabet Med. 2013:189-198)
Objectives
We aimed to re-analyze the association between ED and T1DM, whilst taking into account recently published literature and the type of questionnaire utilized.
Methods
A literature search of PubMed, Scopus, and Web of Science was conducted on 17th January 2023, using the key terms “ T1DM”, “Eating Disorders”, and “ Bulimia”. Only Observational controlled studies were included.
Results
T1DM was associated with increased risk of ED compared to non-diabetic individuals (RR = 2.47, 95% CI = 1.84 to 3.32, p-value < 0.00001), especially bulimia nervosa (RR = 2.80, 95% CI = 1.18 to 6.65, p-value = 0.02) and binge eating (RR = 1.53, 95% CI = 1.18 to 1.98, p-value = 0.001), while no significant association was seen between T1DM and anorexia nervosa. Our sensitivity analysis has shown that increased risk of ED among T1DM persisted regardless of the questionnaire used to diagnose ED; DM-validated questionnaires (RR = 2.80, 95% CI = 1.91 to 4.12, p-value <0.00001) and generic questionnaires (RR = 2.03, 95% CI = 1.27 to 3.23, p-value = 0.003). Furthermore, the Eating Attitudes Test-26 (EAT) showed a significant increase in the dieting subscale (MD = 2.95, 95% CI = 1.84 to 4.06, p-value < 0.00001) and bulimia subscale (MD = 0.78, 95% CI = 0.12 to 1.44, p-value = 0.02) among T1DM patients. Additionally, the Bulimic Investigatory Test, Edinburg (BITE) showed a significant increase in the symptom subscale (MD = 0.31, 95% CI = 0.12 to 0.50, p-value = 0.001), however, no significant difference was detected between T1DM and controls in the severity subscale. Prevalence of insulin omission/misuse was 10.3% (95% CI = 8.1-13); diabetic females demonstrated significantly higher risk of insulin omission (RR = 14.21, 95% CI = 2.66 to 76.04, p-value = 0.002) and insulin misuse (RR = 6.51, 95% CI = 1.14 to 37.31, p-value = 0.04) compared with diabetic males. Analysis of other potentially unhealthy weight control behaviors showed insignificant associations between fasting, excessive exercise, dieting pills misuse, diuretics misuse, and T1DM.
Conclusions
T1DM patients are at higher risk of developing ED according to both generic and diabetes-validated questionnaires. Moreover, female diabetics are at higher risk of insulin misuse/omission. Subsequently, patients should be regularly screened and early psychiatric management is warranted.