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Nevin Manimala Statistics

Associations of excessive internet use, sleep duration and physical activity with school absences: a cross-sectional, population-based study of adolescents in years 8 and 9

Arch Dis Child. 2024 Apr 16:archdischild-2023-326331. doi: 10.1136/archdischild-2023-326331. Online ahead of print.

ABSTRACT

BACKGROUND: Internet use has increased and sleep and physical activity (PA) have decreased in recent years among adolescents. Besides sleep and PA, another determinant of future health for adolescents is education. Our aim was to evaluate the associations of excessive internet use (EIU), short sleep duration and low PA with both unexcused absences and medical absences during lower secondary school.

METHODS: The School Health Promotion study is a national survey of adolescents conducted biennially in Finland. We used data collected in 2019, when EIU was assessed for the first time. Cumulative odds ratio analysis was conducted with unexcused absences and medical absences as outcome variables. Besides EIU, sleep duration and PA, the associations of maternal education and parental relations were assessed.

RESULTS: The mean age of the 86 270 participants was 15.3 years. Girls scored higher than boys on EIU. In all, 34.7% of participants slept less than 8 hours per night during the school week, and 34.3% reported low PA (ie, less than 3 days per week with minimum 1 hour of PA per day). EIU, short sleep and low PA were associated with both unexcused absences and medical absences from school. Longer sleep during weekends showed no association with absences, but good parental relations had the strongest protective association with both unexcused and medical absences.

CONCLUSIONS: EIU, short sleep duration and low PA were associated with both unexcused and medical absences from school. This has important implications for both the promotion of general health and the support offered to students with alarming school absences.

PMID:38627028 | DOI:10.1136/archdischild-2023-326331

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Acquisition Duration Optimization Using Visual Grading Regression in [68Ga]FAPI-46 PET Imaging of Oncologic Patients

J Nucl Med Technol. 2024 Apr 16:jnmt.123.267156. doi: 10.2967/jnmt.123.267156. Online ahead of print.

ABSTRACT

Fibroblast activation protein is a promising target for oncologic molecular imaging with radiolabeled fibroblast activation protein inhibitors (FAPI) in a large variety of cancers. However, there are yet no published recommendations on how to set up an optimal imaging protocol for FAPI PET/CT. It is important to optimize the acquisition duration and strive toward an acquisition that is sufficiently short while simultaneously providing sufficient image quality to ensure a reliable diagnosis. The aim of this study was to evaluate the feasibility of reducing the acquisition duration of [68Ga]FAPI-46 imaging while maintaining satisfactory image quality, with certainty that the radiologist’s ability to make a clinical diagnosis would not be affected. Methods: [68Ga]FAPI-46 PET/CT imaging was performed on 10 patients scheduled for surgical resection of suspected pancreatic cancer, 60 min after administration of 3.6 ± 0.2 MBq/kg. The acquisition time was 4 min/bed position, and the raw PET data were statistically truncated and reconstructed to represent images with an acquisition duration of 1, 2, and 3 min/bed position, additional to the reference images of 4 min/bed position. Four image quality criteria that focused on the ability to distinguish specific anatomic details, as well as perceived image noise and overall image quality, were scored on a 4-point Likert scale and analyzed with mixed-effects ordinal logistic regression. Results: A trend toward increasing image quality scores with increasing acquisition duration was observed for all criteria. For the overall image quality, there was no significant difference between 3 and 4 min/bed position, whereas 1 and 2 min/bed position were rated significantly (P < 0.05) lower than 4 min/bed position. For the other criteria, all images with a reduced acquisition duration were rated significantly inferior to images obtained at 4 min/bed position. Conclusion: The acquisition duration can be reduced from 4 to 3 min/bed position while maintaining satisfactory image quality. Reducing the acquisition duration to 2 min/bed position or lower is not recommended since it results in inferior-quality images so noisy that clinical interpretation is significantly disrupted.

PMID:38627014 | DOI:10.2967/jnmt.123.267156

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Improved Correlation of 18F-Flortaucipir PET SUVRs and Clinical Stages in the Alzheimer Disease Continuum with the MUBADA/PERSI-Based Analysis

J Nucl Med Technol. 2024 Apr 16:jnmt.123.267113. doi: 10.2967/jnmt.123.267113. Online ahead of print.

ABSTRACT

The Alzheimer disease (AD) continuum is a neurodegenerative disorder with cognitive decline and pathologic changes. Tau PET imaging can detect tau pathology, and 18F-flortaucipir PET imaging is expected to visualize progression through the stages of AD, for which quantitative assessment is essential. Two measurement methods, statistically defined multiblock barycentric discriminant analysis (MUBADA)/parametric estimation of reference signal intensity (PERSI) and anatomically defined tau meta-volume of interest (VOI)/cerebellar gray matter (CGM) for SUV ratio (SUVR), were compared in this study to assess their relationship to AD clinical stage using 2 open multicenter PET databases. Methods: Data were selected for 106 cases from 2 databases, AMED Preclinical AD study (AMED-PRE) (n = 15) and Alzheimer Disease Neuroimaging Initiative 3 (n = 91). The data of the participants were categorized into 4 groups based on the clinical criteria. Tau PET imaging was conducted using 18F-flortaucipir, and the 2 SUVR measurement methods, MUBADA/PERSI and tau meta-VOI/CGM, were compared among different clinical categories: amyloid-negative cognitively normal, preclinical AD, amyloid-negative mild cognitive impairment (MCI), and amyloid-positive MCI. Results: Significant differences were found between cognitively normal and preclinical AD, as well as between cognitively normal and amyloid-positive MCI and between amyloid-negative MCI and -positive MCI in SUVR derived by MUBADA/PERSI, whereas SUVR by tau meta-VOI/CGM did not provide significant differences between any pair. The tau meta-VOI/CGM method consistently provided higher SUVRs and larger individual variations than MUBADA/PERSI, with a mean SUVR difference of 0.136 for the studied databases. Conclusion: MUBADA/PERSI provided the SUVR of 18F-flortaucipir uptake with better association with the clinical severity of the AD continuum and with smaller variability. The results support the usefulness of MUBADA/PERSI as a quantitative measure of 18F-flortaucipir uptake in multicenter studies using different PET systems and scanning methods. However, limitations of the study include the small sample size and the unbalanced distribution among clinical categories in the AMED Preclinical AD study database.

PMID:38627012 | DOI:10.2967/jnmt.123.267113

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Barriers and facilitators for family physicians prescribing opioid agonist therapy in Saskatchewan

Can Fam Physician. 2024 Apr;70(4):e52-e60. doi: 10.46747/cfp.7004e52.

ABSTRACT

OBJECTIVE: To explore barriers and facilitators for family physicians in Saskatchewan prescribing opioid agonist therapy (OAT).

DESIGN: Self-administered postal survey.

SETTING: Family medicine practices in Saskatchewan.

PARTICIPANTS: A total of 218 Saskatchewan family physicians who were not authorized to prescribe OAT as of June 2022.

MAIN OUTCOME MEASURES: Descriptive and inferential statistics of physicians’ self-reported barriers to and facilitators of prescribing OAT for opioid use disorder (OUD).

RESULTS: Most respondents (84.8%) had some comfort with diagnosing OUD. However, more than half (58.3%) did not feel confident or knowledgeable about prescribing OAT. Barriers to OAT prescribing included lack of time, incomplete training requirements, lack of interest, insufficient funding or support, feeling overwhelmed, and perceiving that OAT does not work and thus is not necessary. Physicians working in core neighbourhoods and those receiving fee-for-service compensation reported the least available time to prescribe OAT. Conversely, physicians working in interdisciplinary team settings had increased time for OAT prescribing compared with physicians in other settings. Having a close personal relationship with someone with OUD was correlated with increased comfort in diagnosing OUD as well as with knowledge about and confidence in prescribing OAT. Themes identified as facilitators to increasing OAT prescribing included the addition of resources and supports, increased training, more awareness about OUD and OAT, enhanced compensation, and altered prescribing regulations.

CONCLUSION: Despite the presence of several real and perceived barriers limiting OAT prescribing by Saskatchewan family physicians, there are family physicians interested in providing this therapy. Increased clinical resources and support, including increased interdisciplinary practice, are actionable steps that should be considered by policy decision makers to address this issue. Additionally, increased OUD and OAT education, which includes the perspectives of those with lived experience of OUD, would help address physician confidence, knowledge, and awareness in this area.

PMID:38626996 | DOI:10.46747/cfp.7004e52

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Nevin Manimala Statistics

Predictive performance of machine learning compared to statistical methods in time-to-event analysis of cardiovascular disease: a systematic review protocol

BMJ Open. 2024 Apr 15;14(4):e082654. doi: 10.1136/bmjopen-2023-082654.

ABSTRACT

BACKGROUND: Globally, cardiovascular disease (CVD) remains the leading cause of death, warranting effective management and prevention measures. Risk prediction tools are indispensable for directing primary and secondary prevention strategies for CVD and are critical for estimating CVD risk. Machine learning (ML) methodologies have experienced significant advancements across numerous practical domains in recent years. Several ML and statistical models predicting CVD time-to-event outcomes have been developed. However, it is not known as to which of the two model types-ML and statistical models-have higher discrimination and calibration in this regard. Hence, this planned work aims to systematically review studies that compare ML with statistical methods in terms of their predictive abilities in the case of time-to-event data with censoring.

METHODS: Original research articles published as prognostic prediction studies, which involved the development and/or validation of a prognostic model, within a peer-reviewed journal, using cohort or experimental design with at least a 12-month follow-up period will be systematically reviewed. The review process will adhere to the Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies checklist.

ETHICS AND DISSEMINATION: Ethical approval is not required for this review, as it will exclusively use data from published studies. The findings of this study will be published in an open-access journal and disseminated at scientific conferences.

PROSPERO REGISTRATION NUMBER: CRD42023484178.

PMID:38626976 | DOI:10.1136/bmjopen-2023-082654

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Using an ecological model of health behaviour to identify factors associated with smoking behaviour among Buddhist novices in Thailand: a cross-sectional digital survey

BMJ Open. 2024 Apr 15;14(4):e082734. doi: 10.1136/bmjopen-2023-082734.

ABSTRACT

OBJECTIVE: Buddhist novices reside in Buddhist temples, which are legally designated as smoke-free areas. Nevertheless, similar to other men in their age group, they are susceptible to various risk factors that lead to smoking. This digital survey aimed to examine tobacco smoking and its associated factors among Buddhist novices in Thailand.

DESIGN: A cross-sectional digital survey.

SETTING: 88 temple-based schools in Thailand.

PARTICIPANTS: A stratified two-stage cluster sampling method was employed to select 5371 novices. Data were collected between June and August 2022 using self-administered electronic questionnaires.

MEASURE: Descriptive statistics and multivariable logistic regression analysis were used to identify the associated factors.

RESULTS: Overall, 32.8% of the respondents reported they had tried smoking, and the average age of initiation was 12.4 years. In the past 30 days, 25.7% had smoked any tobacco product. Multiple factors following the ecological model of health behaviour were found to be statistically associated with smoking by 37.3%. Among these were intrapersonal-level factors, such as age, living in the southern region and attempted smoking. Two were interpersonal-level factors: the smoking behaviour of close relatives, specifically parents, and their respected monks. Two were institutional-level factors: perceiving that temple-based schools are smoke-free areas and exposure to secondhand smoke. Three factors at the community and policy levels were noticed tobacco advertising at the point of sale, social media and tobacco promotion.

CONCLUSION: The findings of this study support the development of comprehensive intervention programmes that address the multiple factors to prevent Buddhist novices from smoking.

PMID:38626965 | DOI:10.1136/bmjopen-2023-082734

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Missed nursing care and its associated factors in public hospitals of Bahir Dar City, Northwest Ethiopia: a cross-sectional study

BMJ Open. 2024 Apr 16;14(4):e081647. doi: 10.1136/bmjopen-2023-081647.

ABSTRACT

OBJECTIVES: The aim of this study was to investigate the prevalence of missed nursing care and its associated factors among public hospitals in Bahir Dar City, Northwest Ethiopia.

DESIGN: An institution-based cross-sectional study was conducted among 369 randomly selected nurses.

SETTING: The study was conducted in primary and secondary-level public hospitals in Bahir Dar City.

PARTICIPANTS: Nurses who had worked in hospitals in Bahir Dar City were included.

INTERVENTION: No intervention was needed in this study.

PRIMARY AND SECONDARY OUTCOME MEASURES: A binary logistic regression model was used for statistical analysis. Statistical significance of the association between outcome variables and independent variables was declared at a p value of <0.05 with a 95% CI.

RESULTS: The prevalence of missed nursing care in this study was 46.3% (95% CI: 41.7% to 50.9%). The activities most frequently missed were physical examination (56.4%), patient discharge planning and teaching (50.9%), providing emotional support to the patient and family (50.8%), monitoring input and output (50.2%), assisting with patient ambulation (48.5%) and documentation (48%). Factors associated with missed nursing care include: male professionals (adjusted OR (AOR): 2.9, 95% CI: 1.8 to 4.8), those who had not received on-the-job training (AOR: 2.2, 95% CI: 1.4 to 3.6), those who worked full 24-hour shifts (AOR: 3.7, 95% CI: 2.0 to 6.5), those who were dissatisfied with the level of teamwork (AOR: 4.6, 95% CI: 2.8 to 7.6) and those who had an intention to leave the nursing profession (AOR: 1.8, 95% CI: 1.1 to 2.9). These factors were statistically associated with missed nursing care.

CONCLUSION: A significant proportion of nurses missed essential nursing care activities. Efforts should be made to enhance training, improve teamwork among nurses, provide stability and adjust work shifts to mitigate this issue.

PMID:38626963 | DOI:10.1136/bmjopen-2023-081647

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Scaling hypertension treatment in 24 low-income and middle-income countries: economic evaluation of treatment decisions at three blood pressure cut-points

BMJ Open. 2024 Apr 15;14(4):e071036. doi: 10.1136/bmjopen-2022-071036.

ABSTRACT

OBJECTIVE: Estimate the incremental costs and benefits of scaling up hypertension care in adults in 24 select countries, using three different systolic blood pressure (SBP) treatment cut-off points-≥140, ≥150 and ≥160 mm Hg.

INTERVENTION: Strengthening the hypertension care cascade compared with status quo levels, with pharmacological treatment administered at different cut-points depending on the scenario.

TARGET POPULATION: Adults aged 30+ in 24 low-income and middle-income countries spanning all world regions.

PERSPECTIVE: Societal.

TIME HORIZON: 30 years.

DISCOUNT RATE: 4%.

COSTING YEAR: 2020 USD.

STUDY DESIGN: DATA SOURCES: Institute for Health Metrics and Evaluation’s Epi Visualisations database-country-specific cardiovascular disease (CVD) incidence, prevalence and death rates. Mean SBP and prevalence-National surveys and NCD-RisC. Treatment protocols-WHO HEARTS. Treatment impact-academic literature. Costs-national and international databases.

OUTCOME MEASURES: Health outcomes-averted stroke and myocardial infarction events, deaths and disability-adjusted life-years; economic outcomes-averted health expenditures, value of averted mortality and workplace productivity losses.

RESULTS OF ANALYSIS: Across 24 countries, over 30 years, incremental scale-up of hypertension care for adults with SBP≥140 mm Hg led to 2.6 million averted CVD events and 1.2 million averted deaths (7% of expected CVD deaths). 68% of benefits resulted from treating those with very high SBP (≥160 mm Hg). 10 of the 12 highest-income countries projected positive net benefits at one or more treatment cut-points, compared with 3 of the 12 lowest-income countries. Treating hypertension at SBP≥160 mm Hg maximised the net economic benefit in the lowest-income countries.

LIMITATIONS: The model only included a few hypertension-attributable diseases and did not account for comorbid risk factors. Modelled scenarios assumed ambitious progress on strengthening the care cascade.

CONCLUSIONS: In areas where economic considerations might play an outsized role, such as very low-income countries, prioritising treatment to populations with severe hypertension can maximise benefits net of economic costs.

PMID:38626959 | DOI:10.1136/bmjopen-2022-071036

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Nevin Manimala Statistics

Making the black box more transparent: improving the reporting of artificial intelligence studies in healthcare

BMJ. 2024 Apr 16;385:q832. doi: 10.1136/bmj.q832.

NO ABSTRACT

PMID:38626954 | DOI:10.1136/bmj.q832

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Nevin Manimala Statistics

TRIPOD+AI: an updated reporting guideline for clinical prediction models

BMJ. 2024 Apr 16;385:q824. doi: 10.1136/bmj.q824.

NO ABSTRACT

PMID:38626949 | DOI:10.1136/bmj.q824