bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Series of Personalized Virtual Light Therapy Interventions for Fatigue: Feasibility Randomized Crossover Trial for N-of-1 Treatment
Authors: Butler Mark , D’Angelo Stefani , Ahn Heejoon , Chandereng Thevaa , Miller Danielle , Perrin Alexandra , Romain Anne-Marie N , Scatoni Ava , Friel Ciaran P , Cheung Ying-Kuen , Davidson Karina W 
Published: September 2023

BackgroundFatigue is one of the most common symptoms treated in primary care and can lead to deficits in mental health and functioning. Light therapy can be an effective treatment for symptoms of fatigue; however, the feasibility, scalability, and individual-level heterogeneity of light therapy for fatigue are unknown.ObjectiveThis study aimed to evaluate the feasibility, acceptability, and effectiveness of a series of personalized (N-of-1) interventions for the virtual delivery of bright light (BL) therapy and dim light (DL) therapy versus usual care (UC) treatment for fatigue in 60 participants.MethodsParticipants completed satisfaction surveys comprising the System Usability Scale (SUS) and items assessing satisfaction with the components of the personalized trial. Symptoms of fatigue were measured using the Patient-Reported Outcomes Measurement Information System (PROMIS) daily, PROMIS weekly, and ecological momentary assessment (EMA) questionnaires delivered 3 times daily. Comparisons of fatigue between the BL, DL, and UC treatment periods were conducted using generalized linear mixed model analyses between participants and generalized least squares analyses within individual participants.ResultsParticipants rated the usability of the personalized trial as acceptable (average SUS score=78.9, SD 15.6), and 92% (49/53) of those who completed satisfaction surveys stated that they would recommend the trial to others. The levels of fatigue symptoms measured using the PROMIS daily fatigue measure were lower or improved in the BL (B=−1.63, 95% CI −2.63 to −0.63) and DL (B=−1.44, 95% CI −2.50 to −0.38) periods relative to UC. The treatment effects of BL and DL on the PROMIS daily measure varied among participants. Similar findings were demonstrated for the PROMIS weekly and EMA measures of fatigue symptoms.ConclusionsThe participant scores on the SUS and satisfaction surveys suggest that personalized N-of-1 trials of light therapy for fatigue symptoms are both feasible and acceptable. Both interventions produced significant (P<.05) reductions in participant-reported PROMIS and EMA fatigue symptoms relative to UC. However, the heterogeneity of these treatment effects across participants indicated that the effect of light therapy was not uniform. This heterogeneity along with high ratings of usability and satisfaction support the use of personalized N-of-1 research designs in evaluating the effect of light therapy on fatigue for each patient. Furthermore, the results of this trial provide additional support for the use of a series of personalized N-of-1 research trials.Trial RegistrationClinicalTrials.gov NCT04707846; https://clinicaltrials.gov/ct2/show/NCT04707846
DIVERSIFIKASI PANGAN DAN DIFERENSIASI POLA KONSUMSI PANGAN LOKAL RUMAHTANGGA TANI DI DESA BLEBERAN KECAMATAN PLAYEN KABUPATEN GUNUNGKIDUL
Authors: Sudrajat Sudrajat 
Published: September 2023

Abstrak: Diversifikasi pangan merupakan salah satu bentuk upaya manusia untuk menganekaragamkan ketersedian pangan. Namun, pada kenyataan tidak semua manusia mampu melakukan diversifikasi pangan, sehingga terjadilah diferensiasi pola konsumsi pangan. Penelitian ini dilakukan dengan tujuan untuk mengkaji diversifikasi pangan dan diferensiasi pola konsumsi pangan lokal pada rumahtangga tani, serta faktor yang mempengaruhinya. Penelitian ini dilakukan di Desa Bleberan Playen dengan mengambil sejumlah sampel rumahtangga tani secara random sampling. Pengumpulan data perimer dilakukan melalui wawancara dengan kepala rumahtangga tani meggunakan kusioner. Data dianalisis secara deskriptif dengan menggunakan tabel frekuensi dan secara kuantitatif dengan uji statistic regresi liner berganda. Hasil penelitian menemukan, diversifikasi produksi bahan pangan maupun diversifikasi olahan bahan pangan yang dihasilkan rumahtangga tani sangat beragam dan tidak terlepas dari pengaruh faktor demografi, social, budaya maupun ekonomi. Penelitian ini juga menemukan, adanya diferensiasi pola konsumsi pangan pada rumahtangga tani, baik dlihat dari jenis, fekreuensi maupun jumlah bahan pangan yang dikonsumsi rumahtangga dalam periode waktu tertentu. Diferensiasi pola konsumsi pangan juga tidak terlepas dari pengaruh faktor social-budaya maupun ekonomi.
"Las revistas literarias y la configuración de las sociedades modernas". Fin de siglo porfirista: arte y política en la Revista Moderna (1898-1911)
Authors: Moncayo Ramírez Jonatan 
Published: September 2023

Reseña de:Fin de siglo porfirista: arte y política en la Revista Moderna (1898-1911). Diana Hernández Suárez. Madrid: Editorial Verbum, 2021, 273 p. ISBN: 978-84-1337-663-9.
Reliability and validity of the supine-to-stand test in people with stroke
Authors: Ng Shamay S.M. , Chen Peiming , Chan Tony C.W. , Chang Cherry H.L. , Cheng Regen H.Y. , Chow Kylie K.L. , Yeung Alex F.M. , Liu Tai-Wa , Ho Lily Y.W. , Yeung Jerry W.F. , Xu Richard H. , Tse Mimi M.Y. 
Published: September 2023

Objective: To investigate the psychometric properties of the supine-to-stand test in people with stroke. Design: Cross-sectional design. Subjects: Fifty-two people with stroke (mean (standard deviation) age 63.13 (6.09) years; time post-stroke 93.13 (61.36) months) and 49 healthy older adults (61.90 (7.29) months). Methods: Subjects with stroke were recruited from the community dwelling in Hong Kong and assessed with the supineto- stand test, Fugl-Meyer Motor Assessment, ankle muscle strength test, Berg Balance Scale, limit of stability test, Timed Up-and-Go Test, Six-Minute Walk Test, Chinese version of Activities-specific Balance Confidence scale, Community Integration Measure (CIM-C), and 12-item Short-Form Health Survey (SF-12) in a university-based rehabilitation laboratory. Results: The supine-to-stand test completion time demonstrated excellent intra-rater, inter-rater and test-retest reliability (intraclass correlation coefficient 0.946–1.000) for the people with stroke. The completion time was significantly negatively correlated with Berg Balance Scale, Six-Minute Walk Test, limit of stability – maximal excursion, and limit of stability – endpoint excursion results (r = –0.391 to –0.507), whereas it was positively correlated with the Timed Up-and-Go test results (r = 0.461). The optimal cut-off supine-to-stand test completion time of 5.25 s is feasible for a clinical measure to distinguish the performance of people with stroke from healthy older adults (area under the curve = 0.852, sensitivity = 81.1%, specificity = 84.0%). Conclusion: The supine-to-stand test is a reliable, sensitive, specific and easy-to-administer clinical test for assessing the supine-to-stand ability of people with stroke.
Measuring Vulnerability and Resilience in the Time of Change Using Small Area Estimation
Authors: DeSalvo Bethany 
Published: September 2023

The United States Census Bureau launched a new tool for national agencies and local communities, the Community Resilience Estimates (CRE). The CRE tracks social and economic vulnerability by measuring the capacity of individuals and households to cope with the external stresses of the impacts of a disaster.
From the beginning of the pandemic, the negative effects of COVID-19 have been strongly related to certain individual and household characteristics. With access to granular microdata from the Census Bureau, the CRE maps the risk assessment of local populations down to the neighborhood level and allows national and community leaders to more efficiently respond to emergencies.
Federal statistical agencies are uniquely positioned to provide the most accurate and timely measures for an individually focused community resilience indicator. We use detailed demographic and economic data about individuals to build these estimates. Having the richest data sources, the federal government can produce estimates with the most granularity, highest statistical quality, and broadest coverage, while still protecting privacy. We do this through modeling multiple sources of data using small area estimation techniques.
This work will soon be built out to include exposure data (wind, flood, heat, fire, etc) so that federal agencies and researchers can perform experimental studies for better evidenced based policy making and evaluation.
Is obesity more likely among children sharing a household with an older child with obesity?
Authors: Firman Nicola , Wilk Marta , Marszalek Milena , Griffiths Lucy , Harper Gill , Dezateux Carol 
Published: September 2023

ObjectivesWe used a dynamic method of identifying household members from Electronic Health Records (EHRs) linked to National Child Measurement Programme (NCMP) data to estimate the likelihood of children with obesity sharing a household with an older child with obesity, accounting for individual and household characteristics.
MethodsWe included 126,829 NCMP participants in four London boroughs and assigned households from encrypted Unique Property reference Numbers (UPRNs) at NCMP date for 115,466 (91%). We categorised the ethnic-adjusted body mass index of the youngest and oldest household child (underweight/healthy weight<91st, ≥91st to <98th overweight, obesity≥98th centile) and explored associations of the youngest child’s weight status with: oldest child’s weight status, number of household children (two, three or ≥4), youngest child’s sex, ethnicity and school year of NCMP participation (reception or year 6). We estimated adjusted odds ratios (aOR) and 95% confidence intervals (CI) of obesity in the youngest child.
Results19,702 UPRNs were shared by two or more NCMP participants (youngest children: 51.2% male, 69.5% reception). 10.4% of youngest (95% CI: 10.0,10.9) and 13.0% of oldest (12.5,14.3) children were living with obesity. One third of youngest children with obesity shared a household with another child with obesity (33.2%; 31.2,35.2), compared with 9.2% (8.8,9.7) of those with a healthy weight. Youngest children living with an older child with overweight (aOR: 2.33; 95% CI: 2.06,2.64) or obesity (4.59, 4.10,5.14), those from South Asian ethnic backgrounds (1.89; 1.64,2.19) or taking part in NCMP in year 6 (2.21; 2.00,2.43) were more likely, and girls (0.73; 0.67,0.81), children living with just one other child (0.87; 0.77,0.98) and from Black ethnic backgrounds (0.78; 0.66,0.93) less likely, to be living with obesity.
ConclusionLinked EHRs can provide novel insights into the shared weight status of children sharing the same household. Further qualitative research is needed to understand how household food practices may vary by other household characteristics to improve our understanding of how the home environment influences childhood obesity.
The employment, retention and exit of publicly employed nurses in New Brunswick, Canada: An analysis using linked administrative data
Authors: McDonald Ted 
Published: September 2023

ObjectivesAs in many jurisdictions, New Brunswick (Canada) is facing an acute and continuing shortage of registered nurses as recruitment fails to keep pace with retirements and resignations. The purpose of this retrospective study is to analyze the recruitment, retention and exit decisions of nurses in the NB public health system.
MethodsThe analysis will use a unique linked administrative data set that combines individual-level nurse employment data, immigration landing records, university graduation data and Medicare health insurance registry data on all publicly employed registered nurses in NB as well as individuals who graduated from a University nursing program in NB and immigrants to NB who previously trained as nurses in their home country. Data are provided by multiple government departments and are accessed through the NB Institute for Research, Data and Training. The analysis will include both descriptive statistics and econometric methods appropriate to the particular outcome of interest.
ResultsThe analysis will present results on four dimensions of nursing employment. The first is transitions from nursing programs in NB universities into employment in the NB public health system. The second is transitions of internationally educated nurses into employment as nurses in the NB public system and the timing of those transitions, which will reflect the process of credential evaluation, training and licensure. The third is exits from employment in the public health system, with consideration of both retirement and pre-retirement departures. The fourth is mobility decisions of those nurses exiting employment and whether they remain in the province after leaving employment. The potential effects of a range of demographic, geographic and health system level factors on these outcomes will be considered.
ConclusionAnalysis of entry to and exit from nursing employment in NB and factors associated with those dynamics will be vital for health resource planning for a province dealing with growing labour shortages. The unique nature of the linked data will also generate important insights for other jurisdictions facing similar challenges.
A synthetic data strategy for Scotland: Using synthetic data to improve access to public sector data for research
Authors: Adair Lynne 
Published: September 2023

ObjectivesResearch Data Scotland (RDS) is working to improve the economic, social and environmental wellbeing in Scotland by enabling access to, and linkage of, public-sector data for research in the public good. Our objective was to explore how synthetic data can be used to support this aim.
MethodsWe investigated what other, similar, data organisations were doing around synthetic data, both in Scotland and beyond, and the issues to consider. We discussed use cases, tools, level of fidelity of synthesis, disclosure risk, information governance (IG) requirements, where the synthetic data might sit, who could access it, training and accreditation requirements, and barriers to synthesis. The findings were used to draft a synthetic data strategy, create a working group and plan future work. We also held a user workshop to discuss researcher requirements and asked our public panel about their understanding and concerns around synthetic data.
ResultsThree workstreams have been set up around disclosure risk & IG, synthesis, and access, promotion & engagement. A test synthesis of education data is planned. From our user workshop one of the main themes that emerged was the usefulness of low fidelity, unlinked datasets for data discovery purposes at the early stages of a project. Other areas where synthetic data can improve data access are for training, where synthetic data can be used to upskill users in the use of administrative data, and in code development, to allow earlier access to data for code generation and to reduce the time needed in secure settings and with access to real data. Future work will bring together data controllers to discuss disclosure risk.
ConclusionSynthetic data can potentially be used to improve and speed up data access. RDS will fund and support synthetic data projects to demonstrate value, and work with data controllers to produce synthetic datasets on an ongoing basis, for public sector research datasets in Scotland.
Incidence and age at diagnosis of 31 long-term conditions and multimorbidity by sex and social class in a Scottish population
Authors: Fagbamigbe Adeniyi , Agrawal Utkarsh , McCowan Colin 
Published: September 2023

A good understanding of age, when individuals develop individual conditions and subsequently become multimorbid, would provide evidence to support better prevention, detection, and management of multiple long-term conditions. The study aimed to assess the age at onset, incidence, and prevalence of 31 long-term conditions and multimorbidity in Fife and Tayside, Scotland by sex and socioeconomic status.
We linked routinely collected health records of 431,772 patients aged 25 years or higher on January 1st, 2000 till December 31st, 2018 from several database. Age of first report of the 31 Elixhauser long-term conditions was assessed.
Median age at the onset of conditions within the population ranged from 39 years for AIDS/HIV to 73 years for fluid and electrolyte disorders and 75 years for renal failure. This was mostly delayed among the least deprived than most deprived people, up to 14 years for psychoses and AIDS/HIV. People with the highest deprivation in both sexes had earlier onset of all conditions except for blood loss anaemia where most deprived males had three years delay. Median age at the onset of multimorbidity and complex multimorbidity was 67 years (68 for females vs 66 for males; 68 for most deprived vs 73 for least deprived) and 71 years (73 for females vs 70 for males; 73 for most deprived vs 78 for least deprived) respectively. The yearly incidence of both multimorbidity and complex multimorbidity rose steadily from 1.6% and 0.2% in 2000, peaked in 2015 (3.2% vs 1.4%), declined to 2.9% and 1.3% respectively in 2018 while the prevalence grew from 1.6% and 0.2% to 27.2% and 10.1% over the same period.
A number of conditions had earlier onset while others were delayed. The onset of conditions is generally about five years earlier among most deprived people than the least deprived just as multimorbidity and complex multimorbidity is higher and earlier among the most deprived. This information could help drive health system policy, management, intervention, and allocation of resources.
Emergency Department presentations with suicidal ideation: A missed opportunity for intervention?
Authors: Ross Emma , Maguire Aideen , O'Hagan Denise , O'Reilly Dermot 
Published: September 2023

ObjectivesSuicidal ideation constitutes a central element of most theories of suicide. Despite its prevalence, most research has focused on other suicidal behaviours such as self-harm. This study examines the characteristics of those presenting to EDs with suicidal ideation and quantifies the associated risk of suicide and other causes of death.
MethodsThis retrospective cohort study used population-wide health administration data linked to data from the Northern Ireland Registry of Self-Harm and centrally held mortality records from April 2012 to December 2019. Mortality data, coded as suicide, all-external causes and all-cause mortality was analysed using Cox proportional hazards. Additional cause-specific analyses included accidental deaths, deaths from natural causes, and drug and alcohol-related causes.
ResultsThe final cohort comprised 1,662,118 individuals aged over 10 years, of whom 15,267 presented to the ED with ideation during the study period. Individuals with ideation had a ten-fold increased risk of death from suicide (HRadj=10.84, 95% CI 9.18, 12.80) and from all external causes (HRadj=10.65, 95% CI 9.66, 11.74) and a three-fold risk of death from all causes (HRadj= 3.01, 95% CI 2.84, 3.20). Further cause-specific analyses indicated that risk of accidental death (HRadj=8.24, 95% CI 6.29, 10.81), alcohol-related death (HRadj=10.57, 95% CI 9.07, 12.31), and drug-related death (HRadj=15.17, 95% CI 11.36, 20.26) were also significantly raised. There were few socio-demographic and economic characteristics that would identify which of these patients are most at risk of suicide or other causes of death.
ConclusionsThe identification of those experiencing ideation is recognised to be important yet difficult in practice. The ED represents an important potential intervention point for this hard-to-reach population. However, and unlike those presenting with self-harm, clinical guidelines for the management and recommended best practice and care of these individuals are lacking.
Exploring public perceptions of the public good use of data for research and statistics
Authors: Kashef Shayda , Nickson Sofi , Cowan Mary 
Published: September 2023

ObjectivesSharing and use of data for research and statistics underpins creation of better evidence for decision-making. For public data to be shared among organisations, the research or statistics created with the data must serve the public good. We argue decisions about what public good means should involve the public.
MethodsWe carried out a public dialogue to better understand public perceptions of the ‘public good’ use of data for research and statistics. This included deliberative in-person and online workshops with 68 people in Belfast, Cardiff, Glasgow, and London. The participant demographics were purposefully diverse with little to no formal knowledge of data or statistics. Through discussions in small groups, and knowledge exchange with data and statistics professionals, participants had the opportunity to hear more about statistics and data sharing and linkage, and could share their insights into this work from a personal perspective.
Results24 hours of deliberative discussions were analysed and distilled into five main findings, which demonstrate that participants want the public to have a say in how the public good is defined in the context of decision-making on data sharing and use. The participants also strongly expressed that data for research and statistics should address inequalities in society and minimise harms; both of which could be partly achieved through meaningful public engagement. Participants also suggested that they would like to see more communication around the benefits of the use of data for research and statistics. Finally, they were broadly supportive of more data sharing under best practice safeguards, over and above existing legal frameworks.
ConclusionInsights from deliberative discussions with members of the public on their perceptions of the public good use and sharing of data is reciprocally beneficial. It demonstrates trustworthiness to the public by meaningfully involving them in decisions about their data and ensures organisations can receive feedback on how to maximise the public good of their work.