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JMIR Public Health and Surveillance Jun 2024Suicide is a significant public health issue. Many risk prediction tools have been developed to estimate an individual's risk of suicide. Risk prediction models can go...
BACKGROUND
Suicide is a significant public health issue. Many risk prediction tools have been developed to estimate an individual's risk of suicide. Risk prediction models can go beyond individual risk assessment; one important application of risk prediction models is population health planning. Suicide is a result of the interaction among the risk and protective factors at the individual, health care system, and community levels. Thus, policy and decision makers can play an important role in suicide prevention. However, few prediction models for the population risk of suicide have been developed.
OBJECTIVE
This study aims to develop and validate prediction models for the population risk of suicide using health administrative data, considering individual-, health system-, and community-level predictors.
METHODS
We used a case-control study design to develop sex-specific risk prediction models for suicide, using the health administrative data in Quebec, Canada. The training data included all suicide cases (n=8899) that occurred from January 1, 2002, to December 31, 2010. The control group was a 1% random sample of living individuals in each year between January 1, 2002, and December 31, 2010 (n=645,590). Logistic regression was used to develop the prediction models based on individual-, health care system-, and community-level predictors. The developed model was converted into synthetic estimation models, which concerted the individual-level predictors into community-level predictors. The synthetic estimation models were directly applied to the validation data from January 1, 2011, to December 31, 2019. We assessed the performance of the synthetic estimation models with four indicators: the agreement between predicted and observed proportions of suicide, mean average error, root mean square error, and the proportion of correctly identified high-risk regions.
RESULTS
The sex-specific models based on individual data had good discrimination (male model: C=0.79; female model: C=0.85) and calibration (Brier score for male model 0.01; Brier score for female model 0.005). With the regression-based synthetic models applied in the validation data, the absolute differences between the synthetic risk estimates and observed suicide risk ranged from 0% to 0.001%. The root mean square errors were under 0.2. The synthetic estimation model for males correctly predicted 4 of 5 high-risk regions in 8 years, and the model for females correctly predicted 4 of 5 high-risk regions in 5 years.
CONCLUSIONS
Using linked health administrative databases, this study demonstrated the feasibility and the validity of developing prediction models for the population risk of suicide, incorporating individual-, health system-, and community-level variables. Synthetic estimation models built on routinely collected health administrative data can accurately predict the population risk of suicide. This effort can be enhanced by timely access to other critical information at the population level.
Topics: Humans; Quebec; Male; Suicide; Female; Case-Control Studies; Adult; Risk Assessment; Middle Aged; Aged; Adolescent; Young Adult; Risk Factors
PubMed: 38941610
DOI: 10.2196/52773 -
Journal of Medical Internet Research Jun 2024Previous mobile health (mHealth) studies have revealed significant links between depression and circadian rhythm features measured via wearables. However, the...
BACKGROUND
Previous mobile health (mHealth) studies have revealed significant links between depression and circadian rhythm features measured via wearables. However, the comprehensive impact of seasonal variations was not fully considered in these studies, potentially biasing interpretations in real-world settings.
OBJECTIVE
This study aims to explore the associations between depression severity and wearable-measured circadian rhythms while accounting for seasonal impacts.
METHODS
Data were sourced from a large longitudinal mHealth study, wherein participants' depression severity was assessed biweekly using the 8-item Patient Health Questionnaire (PHQ-8), and participants' behaviors, including sleep, step count, and heart rate (HR), were tracked via Fitbit devices for up to 2 years. We extracted 12 circadian rhythm features from the 14-day Fitbit data preceding each PHQ-8 assessment, including cosinor variables, such as HR peak timing (HR acrophase), and nonparametric features, such as the onset of the most active continuous 10-hour period (M10 onset). To investigate the association between depression severity and circadian rhythms while also assessing the seasonal impacts, we used three nested linear mixed-effects models for each circadian rhythm feature: (1) incorporating the PHQ-8 score as an independent variable, (2) adding seasonality, and (3) adding an interaction term between season and the PHQ-8 score.
RESULTS
Analyzing 10,018 PHQ-8 records alongside Fitbit data from 543 participants (n=414, 76.2% female; median age 48, IQR 32-58 years), we found that after adjusting for seasonal effects, higher PHQ-8 scores were associated with reduced daily steps (β=-93.61, P<.001), increased sleep variability (β=0.96, P<.001), and delayed circadian rhythms (ie, sleep onset: β=0.55, P=.001; sleep offset: β=1.12, P<.001; M10 onset: β=0.73, P=.003; HR acrophase: β=0.71, P=.001). Notably, the negative association with daily steps was more pronounced in spring (β of PHQ-8 × spring = -31.51, P=.002) and summer (β of PHQ-8 × summer = -42.61, P<.001) compared with winter. Additionally, the significant correlation with delayed M10 onset was observed solely in summer (β of PHQ-8 × summer = 1.06, P=.008). Moreover, compared with winter, participants experienced a shorter sleep duration by 16.6 minutes, an increase in daily steps by 394.5, a delay in M10 onset by 20.5 minutes, and a delay in HR peak time by 67.9 minutes during summer.
CONCLUSIONS
Our findings highlight significant seasonal influences on human circadian rhythms and their associations with depression, underscoring the importance of considering seasonal variations in mHealth research for real-world applications. This study also indicates the potential of wearable-measured circadian rhythms as digital biomarkers for depression.
Topics: Humans; Seasons; Female; Circadian Rhythm; Male; Wearable Electronic Devices; Adult; Longitudinal Studies; Depression; Middle Aged; Retrospective Studies; Telemedicine
PubMed: 38941600
DOI: 10.2196/55302 -
JMIR Formative Research Jun 2024Higher availability of alcohol is associated with higher levels of alcohol consumption and harm. Alcohol is increasingly accessible online, with rapid delivery often...
BACKGROUND
Higher availability of alcohol is associated with higher levels of alcohol consumption and harm. Alcohol is increasingly accessible online, with rapid delivery often offered by a third-party driver. Remote delivery and online availability are important from a public health perspective, but to date, relatively little research has explored the availability of alcohol offered by online platforms.
OBJECTIVE
This cross-sectional exploratory study describes the availability of alcohol on the third-party platform Deliveroo within London, England.
METHODS
We extracted the number of outlets offering alcohol on Deliveroo for each London borough and converted these into crude rates per 1000 population (18-64 years). Outlets were grouped as outlets exclusively selling alcohol, off-licenses, and premium. We calculated Pearson correlation coefficients to explore the association between borough's crude rate of outlets per 1000 population and average Indices of Multiple Deprivation (IMD) 2019 scores. We extracted the number of outlets also selling tobacco or e-cigarettes and used non-Deliveroo drivers. We searched addresses of the top 20 outlets delivering to the most boroughs by outlet type (60 total) to determine their associated premise.
RESULTS
We identified 4277 total Deliveroo-based outlets offering alcohol across London, including outlets delivering in multiple boroughs. The crude rate of outlets per 1000 population aged 18-64 years was 0.73 and ranged from 0.22 to 2.29 per borough. Most outlets exclusively sold alcohol (3086/4277, 72.2%), followed by off-licenses (770/4277, 18.0%) and premium (421/4277, 9.8%). The majority of outlets exclusively selling alcohol sold tobacco or e-cigarettes (2951/3086, 95.6%) as did off-licenses to a lesser extent (588/770, 76.4%). Most outlets exclusively offering alcohol used drivers not employed by Deliveroo (2887/3086, 93.6%), and the inverse was true for premium outlets (50/421, 11.9%) and off-licenses (73/770, 9.5%). There were 1049 unique outlets, of which 396 (37.8%) were exclusively offering alcohol-these outlets tended to deliver across multiple boroughs unlike off-licenses and premium outlets. Of outlets with confirmed addresses, self-storage units were listed as the associated premise for 85% (17/20) of outlets exclusively offering alcohol, 11% (2/19) of off-licenses, and 12% (2/17) of premium outlets. We found no significant relationship between borough IMD scores and crude rate of outlets per 1000 population overall (P=.87) or by any outlet type: exclusively alcohol (P=.41), off-license (P=.58), and premium (P=.18).
CONCLUSIONS
London-based Deliveroo outlets offering alcohol are common and are sometimes operating from self-storage units that have policies prohibiting alcohol storage. This and the potential for increased alcohol accessibility online have implications for public health given the relationship between alcohol's availability and consumption or harm. There is a need to ensure that regulations for delivery are adequate for protecting children and vulnerable adults. The Licensing Act 2003 may require modernization in the digital age. Future research must explore a relationship between online alcohol availability and deprivation.
PubMed: 38941596
DOI: 10.2196/54587 -
Interactive Journal of Medical Research Jun 2024In comparison to the general population, prison inmates are at a higher risk for drug abuse and psychiatric, as well as infectious, diseases. Although intramural health...
BACKGROUND
In comparison to the general population, prison inmates are at a higher risk for drug abuse and psychiatric, as well as infectious, diseases. Although intramural health care has to be equivalent to extramural services, prison inmates have less access to primary and secondary care. Furthermore, not every prison is constantly staffed with a physician. Since transportation to the nearest extramural medical facility is often resource-intensive, video consultations may offer cost-effective health care for prison inmates.
OBJECTIVE
This study aims to quantify the need for referrals to secondary care services and hospital admissions when video consultations with family physicians and psychiatrists are offered in prison.
METHODS
In 5 German prisons, a mixed methods evaluation study was conducted to assess feasibility, acceptance, and reasons for conducting video consultations with family physicians and psychiatrists. This analysis uses quantitative data from these consultations (June 2018 to February 2019) in addition to data from a sixth prison added in January 2019 focusing on referral and admission rates, as well as reasons for encounters.
RESULTS
At the initiation of the project, 2499 prisoners were detained in the 6 prisons. A total of 435 video consultations were conducted by 12 physicians (3 female and 7 male family physicians, and 2 male psychiatrists during the study period). The majority were scheduled consultations (341/435, 78%). In 68% (n=294) of all encounters, the patient was asked to consult a physician again if symptoms persisted or got worse. In 26% (n=115), a follow-up appointment with either the video consultant or prison physician was scheduled. A referral to other specialties, most often psychiatry, was necessary in 4% (n=17) of the cases. Only in 2% (n=8) of the consultations, a hospital admission was needed. Usually, hospital admissions were the result of unscheduled consultations, and the videoconferencing system was the method of communication in 88% (n=7) of these cases, while 12% (n=1) were carried out over the phone. Reasons for admissions were severe abdominal pain, hypotension, unstable angina or suspected myocardial infarction, or a suspected schizophrenic episode.
CONCLUSIONS
Most scheduled and unscheduled consultations did not require subsequent patient transport to external health care providers. Using telemedicine services allowed a prompt patient-physician encounter with the possibility to refer patients to other specialties or to admit them to a hospital if necessary.
PubMed: 38941595
DOI: 10.2196/44906 -
Neurology(R) Neuroimmunology &... Sep 2024Retinal optical coherence tomography (OCT) provides promising prognostic imaging biomarkers for future disease activity in multiple sclerosis (MS). However, raw...
BACKGROUND AND OBJECTIVES
Retinal optical coherence tomography (OCT) provides promising prognostic imaging biomarkers for future disease activity in multiple sclerosis (MS). However, raw OCT-derived measures have multiple dependencies, supporting the need for establishing reference values adjusted for possible confounders. The purpose of this study was to investigate the capacity for age-adjusted scores of OCT-derived measures to prognosticate future disease activity and disability worsening in people with MS (PwMS).
METHODS
We established age-adjusted OCT reference data using generalized additive models for location, scale, and shape for peripapillary retinal nerve fiber layer (pRNFL) and ganglion cell-inner plexiform layer (GCIP) thicknesses, involving 910 and 423 healthy eyes, respectively. Next, we transformed the retinal layer thickness of PwMS from 3 published studies into age-adjusted scores (pRNFL-z and GCIP-z) based on the reference data. Finally, we investigated the association of pRNFL-z or GCIP-z as predictors with future confirmed disability worsening (Expanded Disability Status Scale score increase) or disease activity (failing of the no evidence of disease activity [NEDA-3] criteria) as outcomes. Cox proportional hazards models or logistic regression analyses were applied according to the original studies. Optimal cutoffs were identified using the Akaike information criterion as well as location with the log-rank and likelihood-ratio tests.
RESULTS
In the first cohort (n = 863), 172 PwMS (24%) had disability worsening over a median observational period of 2.0 (interquartile range [IQR]:1.0-3.0) years. Low pRNFL-z (≤-2.04) were associated with an increased risk of disability worsening (adjusted hazard ratio (aHR) [95% CI] = 2.08 [1.47-2.95], 3.82e). In the second cohort (n = 170), logistic regression analyses revealed that lower pRNFL-z showed a higher likelihood for disability accumulation at the two-year follow-up (reciprocal odds ratio [95% CI] = 1.51[1.06-2.15], = 0.03). In the third cohort (n = 78), 46 PwMS (59%) did not maintain the NEDA-3 status over a median follow-up of 2.0 (IQR: 1.9-2.1) years. PwMS with low GCIP-z (≤-1.03) had a higher risk of showing disease activity (aHR [95% CI] = 2.14 [1.03-4.43], = 0.04). Compared with raw values with arbitrary cutoffs, applying the score approach with optimal cutoffs showed better performance in discrimination and calibration (higher Harrell's concordance index and lower integrated Brier score).
DISCUSSION
In conclusion, our work demonstrated reference cohort-based scores that account for age, a major driver for disease progression in MS, to be a promising approach for creating OCT-derived measures useable across devices and toward individualized prognostication.
Topics: Humans; Female; Male; Tomography, Optical Coherence; Adult; Middle Aged; Disease Progression; Prognosis; Multiple Sclerosis; Retina; Severity of Illness Index
PubMed: 38941572
DOI: 10.1212/NXI.0000000000200269 -
Medicine Jun 2024Schizophrenia (SPR) is the most devastating mental illness that causes severe deterioration in social and occupational functioning, but, the etiology remains unknown....
Schizophrenia (SPR) is the most devastating mental illness that causes severe deterioration in social and occupational functioning, but, the etiology remains unknown. The objective of this study is to explore the genetic underpinnings of novelty seeking behavior in schizophrenic family within the Korean population. By conducting a family-based genome-wide association study, we aim to identify potential genetic markers and variations associated with novelty seeking traits in the context of SPR. We have recruited 27 probands (with SPR) with their parents and siblings whenever possible. DNA was extracted from blood sampling of 58 individuals in 27 families and analyzed in an Illumina core exome single nucleotide polymorphism (SNP) array. A family-based association test (qFAM) was used to derive SNP association values across all chromosomes. Although none of the final 800,000 SNPs reached the genome-wide significant threshold of 8.45 × 10-7, the most significant 4 SNPs were within the 10-5 to 10-7. This study identifies genetic associations between novelty seeking behavior and SPR within families. RAPGEF5 emerges as a significant gene, along with other neuropsychiatric-related genes. Noteworthy genes like DRD4 and COMT did not show associations, possibly due to the focus on schizophrenic family. While shedding light on this complex relationship, larger studies are needed for robust conclusions and deeper mechanistic insights.
Topics: Humans; Genome-Wide Association Study; Schizophrenia; Male; Female; Polymorphism, Single Nucleotide; Republic of Korea; Pilot Projects; Exploratory Behavior; Adult; Middle Aged; Genetic Predisposition to Disease; Young Adult
PubMed: 38941432
DOI: 10.1097/MD.0000000000038694 -
Medicine Jun 2024This is a prospective cohort study to investigate the effects of instrumented lumbar fusion surgery on psychiatric problems, including anxiety, insomnia, and depression,... (Observational Study)
Observational Study
This is a prospective cohort study to investigate the effects of instrumented lumbar fusion surgery on psychiatric problems, including anxiety, insomnia, and depression, in patients with degenerative spinal stenosis, as well as on pain and the activities of daily living. Surgery was performed in the patients with Schizas grade C or D spinal stenosis with; if a patient's quality of life was impaired for at least 3 months or if patient had neurologic deficits. Finally, 69 patients were reviewed. Beck anxiety inventory, insomnia severity index, geriatric depression scale short form-Korean, visual analog scale for back pain, visual analog scale for leg pain, and Oswestry disability index was measured on the day surgery was decided on (T1), the day before surgery (T2), the day before discharge (T3), and 6 months after surgery (T4). The patients had mild degrees of anxiety, insomnia, and depression at T1, and Beck anxiety inventory, insomnia severity index, visual analog scale for back pain, visual analog scale for leg pain, and Oswestry disability index improved significantly by T4. In elderly patients with degenerative spinal stenosis, instrumented lumbar fusion surgery improves not only pain and activities of daily living, but also anxiety and insomnia. However, there was no improvement in depression over the 6-month follow-up period.
Topics: Humans; Aged; Spinal Stenosis; Female; Male; Spinal Fusion; Prospective Studies; Lumbar Vertebrae; Activities of Daily Living; Anxiety; Quality of Life; Depression; Sleep Initiation and Maintenance Disorders; Aged, 80 and over; Pain Measurement; Middle Aged
PubMed: 38941422
DOI: 10.1097/MD.0000000000038719 -
PLOS Digital Health Jun 2024Traditional cognitive assessments in schizophrenia are time-consuming and necessitate specialized training, making routine evaluation challenging. To overcome these...
Traditional cognitive assessments in schizophrenia are time-consuming and necessitate specialized training, making routine evaluation challenging. To overcome these limitations, this study investigates the feasibility and advantages of utilizing smartphone-based assessments to capture both cognitive functioning and digital phenotyping data and compare these results to gold standard measures. We conducted a secondary analysis of data from 76 individuals with schizophrenia, who were recruited across three sites (one in Boston, two in India) was conducted. The open-source mindLAMP smartphone app captured digital phenotyping data and Trails A/B assessments of attention / memory for up to 12 months. The smartphone-cognitive tasks exhibited potential for normal distribution and these scores showed small but significant correlations with the results from the Brief Assessment of Cognition in Schizophrenia, especially the digital span and symbol coding tasks (r2 = 0.21). A small but significant correlation (r2 = 0.29) between smartphone-derived cognitive scores and health-related behaviors such as sleep duration patterns was observed. Smartphone-based cognitive assessments show promise as cross-cultural tools that can capture relevant data on momentary states among individuals with schizophrenia. Cognitive results related to sleep suggest functional applications to digital phenotyping data, and the potential of this multimodal data approach in research.
PubMed: 38941349
DOI: 10.1371/journal.pdig.0000526 -
PloS One 2024This study began as a single-blind randomized controlled trial (RCT) to investigate the efficacy and safety of electroconvulsive therapy (ECT) for severe... (Randomized Controlled Trial)
Randomized Controlled Trial
OBJECTIVE
This study began as a single-blind randomized controlled trial (RCT) to investigate the efficacy and safety of electroconvulsive therapy (ECT) for severe treatment-refractory agitation in advanced dementia. The aims are to assess agitation reduction using the Cohen-Mansfield Agitation Inventory (CMAI), evaluate tolerability and safety outcomes, and explore the long-term stability of agitation reduction and global functioning. Due to challenges encountered during implementation, including recruitment obstacles and operational difficulties, the study design was modified to an open-label format and other protocol amendments were implemented.
METHODS
Initially, the RCT randomized participants 1:1 to either ECT plus usual care or simulated ECT plus usual care (S-ECT) groups. As patients were enrolled, data were collected from both ECT and simulated ECT (S-ECT) patients. The study now continues in an open-label study design where all patients receive actual ECT, reducing the targeted sample size from 200 to 50 participants.
RESULTS
Study is ongoing and open to enrollment.
CONCLUSION
The transition of the ECT-AD study design from an RCT to open-label design exemplifies adaptive research methodologies in response to real-world challenges. Data from both the RCT and open-label phases of the study will provide a unique perspective on the role of ECT in managing severe treatment-refractory agitation in dementia, potentially influencing future clinical practices and research approaches.
Topics: Humans; Electroconvulsive Therapy; Psychomotor Agitation; Dementia; Single-Blind Method; Female; Male; Treatment Outcome; Aged; Aberrant Motor Behavior in Dementia
PubMed: 38941338
DOI: 10.1371/journal.pone.0303894 -
PLOS Global Public Health 2024Forcibly displaced populations experience an increased burden of mental illness. Scaling up mental health (MH) services places new resource demands on health systems in...
Barriers, facilitators and proposed solutions to equitable mental health financing and service delivery for the Lebanese populations and displaced Syrians in Lebanon: Findings from a qualitative study.
Forcibly displaced populations experience an increased burden of mental illness. Scaling up mental health (MH) services places new resource demands on health systems in crises-affected settings and raises questions about how to provide equitable MH services for refugee and host populations. Our study investigates barriers, facilitators, and proposed solutions to MH financing and access for Lebanese populations and Syrian refugees in Lebanon, a protracted crisis setting. We collected qualitative data via 73 interviews and 3 focus group discussions. Participants were purposively selected from: (i) national, United Nations and NGO stakeholders; (ii) frontline MH service providers; (iii) insurance company representatives; (iv) Lebanese and Syrian adults and parents of children aged 12-17 years using MH services. Data were analysed using inductive and deductive approaches. Our results highlight challenges facing Lebanon's system of financing MH care in the face of ongoing multiple crises, including inequitable coverage, dependence on external humanitarian funds, and risks associated with short-term funding and their impact on sustainability of services. The built environment presents additional challenges to individuals trying to navigate, access and use existing MH services, and the social environment and service provider factors enable or hinder individuals accessing MH care. Registered Syrian refugees have better financial coverage to secondary MH care than Lebanese populations. However, given the economic crisis, both populations are facing similar challenges in paying for and accessing MH care at primary health care (PHC) level. Multiple crises in Lebanon have exacerbated challenges in financing MH care, dependence on external humanitarian funds, and risks and sustainability issues associated with short-term funding. Urgent reforms are needed to Lebanon's health financing system, working with government and external donors to equitably and efficiently finance and scale up MH care with a focus on PHC, and to reduce inequities in MH service coverage between Lebanese and Syrian refugee populations.
PubMed: 38941293
DOI: 10.1371/journal.pgph.0003318