Impact of the COVID-19 pandemic on pediatric faculty: a report from nine academic institutions.

BACKGROUND: The COVID-19 pandemic affected home and work routines, which may exacerbate existing academic professional disparities. Objectives were to describe the impact of the pandemic on pediatric faculty's work productivity, identify groups at risk for widening inequities, and explore mitigation strategies. METHODS: A cross-sectional study of faculty members was conducted at nine U.S. pediatric departments. Responses were analyzed by demographics, academic rank, and change in home caregiving responsibility. RESULTS: Of 5791 pediatric faculty members eligible, 1504 (26%) completed the survey. The majority were female (64%), over 40 years old (60%), and assistant professors (47%). Only 7% faculty identified as underrepresented in medicine. Overall 41% reported an increase in caregiving during the pandemic. When comparing clinical, administrative, research, and teaching activities, faculty reported worse 1-year outlook for research activities. Faculty with increased caregiving responsibilities were more likely to report concerns over delayed promotion and less likely to have a favorable outlook regarding clinical and research efforts. Participants identified preferred strategies to mitigate challenges. CONCLUSIONS: The COVID-19 pandemic negatively impacted pediatric faculty productivity with the greatest effects on those with increased caregiving responsibilities. COVID-19 was particularly disruptive to research outlook. Mitigation strategies are needed to minimize the long-term impacts on academic pediatric careers. IMPACT: The COVID-19 pandemic most negatively impacted work productivity of academic pediatric faculty with caregiving responsibilities. COVID-19 was particularly disruptive to short-term (1-year) research outlook among pediatric faculty. Faculty identified mitigation strategies to minimize the long-term impacts of the pandemic on academic pediatric career pathways.

Is breathing frequency a potential means for monitoring exercise intensity in people with atrial fibrillation and coronary heart disease when heart rate is mitigated?

PURPOSE: Moderate-intensity aerobic exercise is safe and beneficial in atrial fibrillation (AF) and coronary heart disease (CHD). Irregular or rapid heart rates (HR) in AF and other heart conditions create a challenge to using HR to monitor exercise intensity. The purpose of this study was to assess the potential of breathing frequency (BF) to monitor exercise intensity in people with AF and CHD without AF. METHODS: This observational study included 30 AF participants (19 Male, 70.7 ± 8.7 yrs) and 67 non-AF CHD participants (38 Male, 56.9 ± 11.4 yrs). All performed an incremental maximal exercise test with pulmonary gas exchange. RESULTS: Peak aerobic power in AF ( V ˙ O2peak; 17.8 ± 5.0 ml.kg-1.min-1) was lower than in CHD (26.7 ml.kg-1.min-1) (p < .001). BF responses in AF and CHD were similar (BF peak: AF 34.6 ± 5.4 and CHD 36.5 ± 5.0 breaths.min-1; p = .106); at the 1st ventilatory threshold (BF@VT-1: AF 23.2 ± 4.6; CHD 22.4 ± 4.6 breaths.min-1; p = .240). % V ˙ O2peak at VT-1 were similar in AF and CHD (AF: 59%; CHD: 57%; p = .656). CONCLUSION: With the use of wearable technologies on the rise, that now include BF, this first study provides an encouraging potential for BF to be used in AF and CHD. As the supporting data are based on incremental ramp protocol results, further research is required to assess BF validity to manage exercise intensity during longer bouts of exercise.

Introduction of NADH-dependent nitrate assimilation in Synechococcus sp. PCC 7002 improves photosynthetic production of 2-methyl-1-butanol and isobutanol.

Cyanobacteria hold promise for renewable chemical production due to their photosynthetic nature, but engineered strains frequently display poor production characteristics. These difficulties likely arise in part due to the distinctive photoautotrophic metabolism of cyanobacteria. In this work, we apply a genome-scale metabolic model of the cyanobacteria Synechococus sp. PCC 7002 to identify strain designs accounting for this unique metabolism that are predicted to improve the production of various biofuel alcohols (e.g. 2-methyl-1-butanol, isobutanol, and 1-butanol) synthesized via an engineered biosynthesis pathway. Using the model, we identify that the introduction of a large, non-native NADH-demand into PCC 7002's metabolic network is predicted to enhance production of these alcohols by promoting NADH-generating reactions upstream of the production pathways. To test this, we construct strains of PCC 7002 that utilize a heterologous, NADH-dependent nitrite reductase in place of the native, ferredoxin-dependent enzyme to create an NADH-demand in the cells when grown on nitrate-containing media. We find that photosynthetic production of both isobutanol and 2-methyl-1-butanol is significantly improved in the engineered strain background relative to that in a wild-type background. We additionally identify that the use of high-nutrient media leads to a substantial prolongment of the production curve in our alcohol production strains. The metabolic engineering strategy identified and tested in this work presents a novel approach to engineer cyanobacterial production strains that takes advantage of a unique aspect of their metabolism and serves as a basis on which to further develop strains with improved production of these alcohols and related products.

Sex-specific associations of fat mass and muscle mass with cardiovascular disease risk factors in adults with type 2 diabetes living with overweight and obesity: secondary analysis of the Look AHEAD trial.

BACKGROUND: Distinguishable sex differences exist in fat mass and muscle mass. High fat mass and low muscle mass are independently associated with cardiovascular disease (CVD) risk factors in people living with type 2 diabetes; however, it is unknown if the association between fat mass and CVD risk is modified by muscle mass, or vice versa. This study examined the sex-specific interplay between fat mass and muscle mass on CVD risk factors in adults with type 2 diabetes living with overweight and obesity. METHODS: Dual-energy X-ray absorptiometry (DXA) measures were used to compute fat mass index (FMI) and appendicular muscle mass index (ASMI), and participants were separated into high-fat mass vs. low-fat mass and high-muscle mass vs. low-muscle mass. A two-way analysis of covariance (ANCOVA: high-FMI vs. low-FMI by high-ASMI vs. low-ASMI) was performed on CVD risk factors (i.e., hemoglobin A1C [A1C]; high-density lipoprotein cholesterol; low-density lipoprotein cholesterol; triglycerides; systolic and diastolic blood pressure; cardiorespiratory fitness, depression and health related-quality of life [HR-QoL]) at baseline and following a 1-year intensive lifestyle intervention (ILI) for females and males separately, with a primary focus on the fat mass by muscle mass interaction effects. RESULTS: Data from 1,369 participants (62.7% females) who completed baseline DXA were analyzed. In females, there was a fat mass by muscle mass interaction effect on A1C (p = 0.016) at baseline. Post-hoc analysis showed that, in the low-FMI group, A1C was significantly higher in low-ASMI when compared to high-ASMI (60.3 ± 14.1 vs. 55.5 ± 13.5 mmol/mol, p = 0.023). In the high-FMI group, there was no difference between high-ASMI and low-ASMI (56.4 ± 12.5 vs. 56.5 ± 12.8 mmol/mol, p = 0.610). In males, only high-FMI was associated with higher A1C when compared to low-FMI (57.1 ± 14.4 vs. 54.2 ± 12.0 mmol/mol, p = 0.008) at baseline. Following ILI, there were significant fat mass by muscle mass interaction effects on changes in the mental component of HR-QoL in males. CONCLUSION: Considering that A1C predicts future CVD, strategies to lower A1C may be especially important in females with low fat and low muscle mass living with type 2 diabetes. Our results highlight the complicated and sex-specific contribution of fat mass and muscle mass to CVD risk factors.

Acute Care Utilization and Health Care Expenditures in Medicaid-Enrolled Children.

OBJECTIVES: Although recent health care reform efforts have focused on minimizing high cost health care utilization, the relationship between acute care use and health care expenditures among certain vulnerable populations such as Medicaid-insured children remains poorly understood. We sought to evaluate the association between acute care utilization and health care expenditures and to identify characteristics associated with high spending. METHODS: We performed a retrospective cohort study of Medicaid-enrolled children 1-21 years old from 1/1/2016 to 12/31/2016. Children were categorized by acute care use (including emergency department and urgent care visits) as 0, 1, 2, 3, and 4 or more visits. Our main outcomes were annualized spending, total per-member-per-year spending, and acute care-related per-member-per-year spending. RESULTS: There were 5.1 million Medicaid-enrolled children that comprised the study cohort, accounting for US $32.6 billion in total spending. Children with 4 or more acute care visits were more likely to be younger than 2 years or older than 14 years, female, and have a chronic condition. Children with 4 or more acute care visits consisted of only 4% of the cohort but accounted for 15% (US $4.7 billion) of the total spending. Increasing acute care visits were associated with increasing total annualized spending in adjusted analyses (P < 0.001). This association was disproportionately observed in older age groups and children without chronic medical conditions. CONCLUSIONS: Medicaid spending for children increases with increasing acute care use; this trend was disproportionately observed in older age groups and children without chronic medical conditions. Improved understanding of factors contributing to frequent acute care utilization and disproportionate spending is needed to potentially reduce unnecessary health care costs in these pediatric populations.

Active and machine learning-based approaches to rapidly enhance microbial chemical production.

In order to make renewable fuels and chemicals from microbes, new methods are required to engineer microbes more intelligently. Computational approaches, to engineer strains for enhanced chemical production typically rely on detailed mechanistic models (e.g., kinetic/stoichiometric models of metabolism)-requiring many experimental datasets for their parameterization-while experimental methods may require screening large mutant libraries to explore the design space for the few mutants with desired behaviors. To address these limitations, we developed an active and machine learning approach (ActiveOpt) to intelligently guide experiments to arrive at an optimal phenotype with minimal measured datasets. ActiveOpt was applied to two separate case studies to evaluate its potential to increase valine yields and neurosporene productivity in Escherichia coli. In both the cases, ActiveOpt identified the best performing strain in fewer experiments than the case studies used. This work demonstrates that machine and active learning approaches have the potential to greatly facilitate metabolic engineering efforts to rapidly achieve its objectives.

Viral reduction of human blood by ultraviolet A-photosensitized vitamin K5.

Blood product transfusion can transmit viral pathogens. Pathogen reduction methods for blood products have been developed but, so far, are not available for whole blood. We evaluated if vitamin K5 (VK5) and ultraviolet A (UVA) irradiation could be used for virus inactivation in plasma and whole blood. Undiluted human plasma and whole blood diluted to 20% were spiked with high levels of vaccinia or Zika viruses. Infectious titers were measured by standard TCID50 assay before and after VK5/UVA treatments. Up to 3.6 log of vaccinia and 3.2 log of Zika were reduced in plasma by the combination of 500 µM VK5 and 3 J/cm2 UVA, and 3.1 log of vaccinia and 2.9 log of Zika were reduced in diluted human blood (20%) by the combination of 500 µM VK5 and 70 J/cm2 UVA. At end of whole blood treatment, hemolysis increased from 0.18% to 0.41% but remained below 1% hemolysis, which is acceptable to the Food and Drug Administration for red cell transfusion products. No significant alteration of biochemical parameters of red blood cells occurred with treatment. Our results provide proof of the concept that a viral pathogen reduction method based on VK5/UVA may be developed for whole blood.

Model-driven analysis of mutant fitness experiments improves genome-scale metabolic models of Zymomonas mobilis ZM4.

Genome-scale metabolic models have been utilized extensively in the study and engineering of the organisms they describe. Here we present the analysis of a published dataset from pooled transposon mutant fitness experiments as an approach for improving the accuracy and gene-reaction associations of a metabolic model for Zymomonas mobilis ZM4, an industrially relevant ethanologenic organism with extremely high glycolytic flux and low biomass yield. Gene essentiality predictions made by the draft model were compared to data from individual pooled mutant experiments to identify areas of the model requiring deeper validation. Subsequent experiments showed that some of the discrepancies between the model and dataset were caused by polar effects, mis-mapped barcodes, or mutants carrying both wild-type and transposon disrupted gene copies-highlighting potential limitations inherent to data from individual mutants in these high-throughput datasets. Therefore, we analyzed correlations in fitness scores across all 492 experiments in the dataset in the context of functionally related metabolic reaction modules identified within the model via flux coupling analysis. These correlations were used to identify candidate genes for a reaction in histidine biosynthesis lacking an annotated gene and highlight metabolic modules with poorly correlated gene fitness scores. Additional genes for reactions involved in biotin, ubiquinone, and pyridoxine biosynthesis in Z. mobilis were identified and confirmed using mutant complementation experiments. These discovered genes, were incorporated into the final model, iZM4_478, which contains 747 metabolic and transport reactions (of which 612 have gene-protein-reaction associations), 478 genes, and 616 unique metabolites, making it one of the most complete models of Z. mobilis ZM4 to date. The methods of analysis that we applied here with the Z. mobilis transposon mutant dataset, could easily be utilized to improve future genome-scale metabolic reconstructions for organisms where these, or similar, high-throughput datasets are available.

De novo design of programmable inducible promoters.

Ligand-responsive allosteric transcription factors (aTF) play a vital role in genetic circuits and high-throughput screening because they transduce biochemical signals into gene expression changes. Programmable control of gene expression from aTF-regulated promoter is important because different downstream effector genes function optimally at different expression levels. However, tuning gene expression of native promoters is difficult due to complex layers of homeostatic regulation encoded within them. We engineered synthetic promoters de novo by embedding operator sites with varying affinities and radically reshaped binding preferences within a minimal, constitutive Escherichia coli promoter. Multiplexed cell-based screening of promoters for three TetR-like aTFs generated with this approach gave rich diversity of gene expression levels, dynamic ranges and ligand sensitivities and were 50- to 100-fold more active over their respective native promoters. Machine learning on our dataset revealed that relative position of the core motif and bases flanking the core motif play an important role in modulating induction response. Our generalized approach yields customizable and programmable aTF-regulated promoters for engineering cellular pathways and enables the discovery of new small molecule biosensors.

A Pediatric Patient With Ascites, Proteinuria, and Thrombocytopenia: A Rare Presentation for a Common Illness.

ABSTRACT: A 7-year-old female patient presented to our pediatric emergency department with 5 days of fever, sore throat, abdominal pain, vomiting, headache, and 2 days of periorbital swelling. Her initial laboratory evaluation revealed a negative monospot test, neutropenia, atypical lymphocytosis, and thrombocytopenia in addition to transaminitis and proteinuria. An abdominal ultrasound obtained identified hepatosplenomegaly, moderate ascites, acalculous cholecystitis, and a distended appendix with periappendiceal fluid. She was admitted to gastroenterology for further management with antibiotics and surgery and hematology consults. Ultimately, Epstein-Barr virus polymerase chain reaction was positive. This case highlights an atypical presentation of Epstein-Barr virus and the collaborative approach to diagnosis.

Reliance on Acute Care Settings for Health Care Utilization: A Comparison of Adolescents With Younger Children.

OBJECTIVE: Because a goal of the Affordable Care Act was to increase preventive care and reduce high-cost care, the objective of this study was to evaluate current health care use and reliance on acute care settings among Medicaid-enrolled children. METHODS: This was a retrospective cohort study of the 2015 Truven Marketscan Medicaid claims database among children 0 to 21 years old with at least 11 months of continuous enrollment. We calculated adjusted probabilities of health care use (any health care use and ≥1 health maintenance visit) and high acute care reliance (ratio of emergency department or urgent care visits to all health care visits >0.33) by age and compared use between adolescents and younger children using multivariable logistic regression. RESULTS: Of the 5,182,540 Medicaid-enrolled children, 18.9% had no health care visits and 47.3% had 1 or more health maintenance visit in 2015. Both health care use and health maintenance visits decreased with increasing age (P < 0.001). Compared with younger children (0-10 years old), adolescents were more likely to have no interaction with the health care system [adjusted odds ratio (aOR), 2.20; 95% confidence interval (CI), 2.19-2.21] and less likely to have health maintenance visits (aOR, 0.40; 0.39-0.40). High acute care reliance was associated with increasing age, with adolescents having greater odds of high acute care reliance (aOR, 1.08; 1.08-1.09). CONCLUSIONS: Medicaid-enrolled adolescents have low rates of health care use and have high reliance on acute care settings. Further investigation into adolescent-specific barriers to health maintenance care and drivers for acute care is warranted.

Work-related factors predict changes in physical activity among nurses participating in a web-based worksite intervention: A randomized controlled trial.

BACKGROUND: Despite the numerous benefits associated with physical activity (PA), most nurses are not active enough and few interventions have been developed to promote PA among nurses. A secondary analysis of raw data from a single-centre, three-arm parallel-group randomized controlled trial was conducted to assess whether work-related characteristics and general mood states predict changes in total weekly moderate-to-vigorous intensity PA (MVPA) and average daily step-count among nurses participating in a 6-week web-based worksite intervention. METHODS: Seventy nurses (meanage: 46.1 ± 11.2 years) were randomized to an individual-, friend-, or team-based PA challenge. Participants completed questionnaires pre- and post-intervention assessing work-related characteristics (i.e., shift schedule and length, number of hours worked per week, work role) and general mood states (i.e., tension, depression, anger, confusion, fatigue, vigour). Participants received a PA monitor to wear before and during the 6-week PA challenge, which was used to assess total weekly MVPA minutes and average daily step-count. Data were analyzed descriptively and using multilevel modeling for repeated measures. RESULTS: Change in total weekly MVPA minutes, but not change in average daily step-count, was predicted by shift schedule (rotating vs. fixed) by time (estimate = - 17.43, SE = 6.18, p = .006), and work role (clinical-only vs. other) by time (estimate = 18.98, SE = 6.51, p = .005). General mood states did not predict change in MVPA or change in average daily step-count. CONCLUSIONS: Given that nurses who work rotating shifts and perform clinical work showed smaller improvements in MVPA, it may be necessary to consider work-related factors/barriers (e.g., time constraints, fatigue) and collaborate with nurses when designing and implementing MVPA interventions in the workplace. TRIAL REGISTRATION: ClinicalTrials.gov: NCT04524572 . August 24, 2020. This trial was registered retrospectively. This study adheres to the CONSORT 2010 statement guidelines.

Meeting the Canadian strength training recommendations: Implications for the cardiometabolic, psychological and musculoskeletal health of nurses.

AIM: To examine the proportion of nurses meeting the strength training recommendation and its associated cardiometabolic, psychological and musculoskeletal benefits. BACKGROUND: Strength training targets poor physical and mental health often reported by nurses; however, it is unknown whether nurses are meeting the strength training guidelines. METHODS: Nurses from 14 hospitals completed a 7-day physical activity log. Nurses were considered meeting the recommendation if they reported ≥2 strength training sessions per week. Cardiometabolic, psychological and musculoskeletal health, and levels of motivation were compared between nurses meeting and not meeting the guidelines. RESULTS: Of the 307 nurses (94% female; age: 43 ± 12 years), 29 (9.4%) met the strength training recommendation. These nurses had lower body mass index (24.1 ± 2.6 vs. 27.3 ± 5.5 kg/m2 , p = .007) and waist circumference (73.8 ± 8.3 vs. 81.1 ± 11.7 cm, p = .017); and higher vigour-activity (18.0 ± 5.8 vs. 15.6 ± 6.5 points, p = .046) and self-determined motivation (relative autonomic index: 54.9 ± 20.3 vs. 45.0 ± 23.8 points, p = .042) scores than nurses not meeting the recommendation. CONCLUSION: While the proportion of nurses meeting the strength training recommendation was small (<10%), they had lower body mass and waist circumference, and higher vigour-activity. IMPLICATIONS FOR NURSING MANAGEMENT: Strategies to increase the strength training engagement may improve the cardiometabolic health and increase vigour among nurses.

What Motivates Nurses to Exercise? Determinants of Physical Activity Among Canadian Nurses Using Self-Determination Theory.

BACKGROUND: Nurses' suboptimal physical activity (PA) levels place them at high risk for cardiovascular diseases. Little is known about the motivational factors that influence their PA behavior. PURPOSE: This study drew on the Self-Determination Theory (SDT) to investigate whether associations between nurses' levels of mood disturbance, psychological need satisfaction (competence, autonomy, and relatedness), and self-determined motivation predict levels of objectively assessed PA. METHODS: A total of 363 nurses recruited from 14 hospitals in the Champlain region of Ontario, Canada, wore ActiGraph GT3X accelerometers and completed standardized questionnaires assessing sociodemographic and work characteristics, mood disturbance, and SDT variables. Levels of moderate-to-vigorous intensity PA (MVPA) were measured in minutes/week in bouts ≥10 min. Data were analyzed using path analysis and multiple mediational model. RESULTS: The model predicting MVPA showed good fit to the data, χ 2 (4, n = 363) = 7.82, p = .10; comparative fit index = .991; Tucker-Lewis Index = .967; root mean square error of approximation = .051. Higher mood disturbance was associated with lower perceived competence (ß = -.29, p = .002), autonomy (ß = -.29, p = .002), and relatedness (ß = -.19, p = .002). Lower perceived competence (ß = .46, p = .003) and autonomy (ß = .14, p = .011), as well as higher mood disturbance (ß = -.16, p = .016), were associated with less self-determined motivation for PA. Lower self-determined motivation was associated with lower levels of MVPA among nurses. CONCLUSIONS: Interventions targeting low mood, as well as perceived competence and autonomy in exercise, may promote MVPA among nurses and reduce cardiac risk.

A comparison of self-reported and device measured sedentary behaviour in adults: a systematic review and meta-analysis.

BACKGROUND: Sedentary behaviour (SB) is a risk factor for chronic disease and premature mortality. While many individual studies have examined the reliability and validity of various self-report measures for assessing SB, it is not clear, in general, how self-reported SB (e.g., questionnaires, logs, ecological momentary assessments (EMAs)) compares to device measures (e.g., accelerometers, inclinometers). OBJECTIVE: The primary objective of this systematic review was to compare self-report versus device measures of SB in adults. METHODS: Six bibliographic databases were searched to identify all studies which included a comparable self-report and device measure of SB in adults. Risk of bias within and across studies was assessed. Results were synthesized using meta-analyses. RESULTS: The review included 185 unique studies. A total of 123 studies comprising 173 comparisons and data from 55,199 participants were used to examine general criterion validity. The average mean difference was -105.19 minutes/day (95% CI: -127.21, -83.17); self-report underestimated sedentary time by ~1.74 hours/day compared to device measures. Self-reported time spent sedentary at work was ~40 minutes higher than when assessed by devices. Single item measures performed more poorly than multi-item questionnaires, EMAs and logs/diaries. On average, when compared to inclinometers, multi-item questionnaires, EMAs and logs/diaries were not significantly different, but had substantial amount of variability (up to 6 hours/day within individual studies) with approximately half over-reporting and half under-reporting. A total of 54 studies provided an assessment of reliability of a self-report measure, on average the reliability was good (ICC = 0.66). CONCLUSIONS: Evidence from this review suggests that single-item self-report measures generally underestimate sedentary time when compared to device measures. For accuracy, multi-item questionnaires, EMAs and logs/diaries with a shorter recall period should be encouraged above single item questions and longer recall periods if sedentary time is a primary outcome of study. Users should also be aware of the high degree of variability between and within tools. Studies should exert caution when comparing associations between different self-report and device measures with health outcomes. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42019118755.

Predefined vs data-guided training prescription based on autonomic nervous system variation: A systematic review.

Monitoring variations in the functioning of the autonomic nervous system may help personalize training of runners and provide more pronounced physiological adaptations and performance improvements. We systematically reviewed the scientific literature comparing physiological adaptations and/or improvements in performance following training based on responses of the autonomic nervous system (ie, changes in heart rate variability) and predefined training. PubMed, SPORTDiscus, and Web of Science were searched systematically in July 2019. Keywords related to endurance, running, autonomic nervous system, and training. Studies were included if they (a) involved interventions consisting predominantly of running training; (b) lasted at least 3 weeks; (c) reported pre- and post-intervention assessment of running performance and/or physiological parameters; (d) included an experimental group performing training adjusted continuously on the basis of alterations in HRV and a control group; and (e) involved healthy runners. Five studies involving six interventions and 166 participants fulfilled our inclusion criteria. Four HRV-based interventions reduced the amount of moderate- and/or high-intensity training significantly. In five interventions, improvements in performance parameters (3000 m, 5000 m, Loadmax, Tlim) were more pronounced following HRV-based training. Peak oxygen uptake ( V ˙ O 2 peak ) and submaximal running parameters (eg, LT1, LT2) improved following both HRV-based and predefined training, with no clear difference in the extent of improvement in V ˙ O 2 peak . Submaximal running parameters tended to improve more following HRV-based training. Research findings to date have been limited and inconsistent. Both HRV-based and predefined training improve running performance and certain submaximal physiological adaptations, with effects of the former training tending to be greater.

Motivation Predicts Change in Nurses' Physical Activity Levels During a Web-Based Worksite Intervention: Results From a Randomized Trial.

BACKGROUND: Low physical activity levels can negatively affect the health of nurses. Given the low physical activity levels reported by nurses, there is a clear need for brief and economical interventions designed to increase physical activity levels in this population. We developed a web-based intervention that used motivational strategies to increase nurses' physical activity levels. The intervention provided the nurses with feedback from an activity monitor coupled with a web-based individual, friend, or team physical activity challenge. OBJECTIVE: In this parallel-group randomized trial, we examine whether nurses' motivation at baseline predicted changes in objectively measured physical activity levels during the 6-week intervention. METHODS: The participants were 76 nurses (n=74, 97% female; mean age 46, SD 11 years) randomly assigned to 1 of 3 physical activity challenge conditions: (1) individual, (2) friend, or (3) team. The nurses completed a web-based questionnaire designed to assess motivational regulations for physical activity levels before the intervention and wore a Tractivity activity monitor before and during the 6-week intervention. We analyzed data using multilevel modeling for repeated measures. RESULTS: The nurses' physical activity levels increased (linear estimate=10.30, SE 3.15; P=.001), but the rate of change decreased over time (quadratic estimate=-2.06, SE 0.52; P<.001). External and identified regulations (ß=-2.08 to 11.55; P=.02 to .04), but not intrinsic and introjected regulations (ß=-.91 to 6.29; P=.06 to .36), predicted changes in the nurses' physical activity levels. CONCLUSIONS: Our findings provide evidence that an intervention that incorporates self-monitoring and physical activity challenges can be generally effective in increasing nurses' physical activity levels in the short term. They also suggest that drawing solely on organismic integration theory to predict changes in physical activity levels among the nurses participating in web-based worksite interventions may have been insufficient. Future research should examine additional personal (eg, self-efficacy) and occupational factors (eg, shift length and shift type) that influence physical activity levels to identify potential targets for intervention among nurses. TRIAL REGISTRATION: ClinicalTrials.gov NCT04524572; https://clinicaltrials.gov/ct2/show/NCT04524572.

Daily physical activity and sedentary behaviour across occupational classifications in Canadian adults.

BACKGROUND: Adults spend a large proportion of their day at work. Physical activity (PA) and sedentary behaviour (SB) have been shown to vary considerably between occupations. The objective of this study is to describe occupational differences in accelerometer-measured and self-reported PA and SB for Canadian full-time workers. DATA AND METHODS: Using combined data from three cycles of the nationally representative Canadian Health Measures Survey (N = 4,080), three activity groups (high, intermediate, low) were created based on a composite ranking of accelerometer-derived steps, proportion of time spent sedentary (SED%) and moderate-to-vigorous intensity physical activity (MVPA) in bouts of ⋝10 minutes (MVPAbouted). Differences between groups were assessed for accelerometer-derived and self-reported PA and SB, and sociodemographic and clinical characteristics. RESULTS: On average, Canadians employed in full-time work were sedentary for 68.9% of their day (95% confidence interval [CI]: 68.3% to 69.6%), took 8,984 steps per day (95% CI: 8,719 to 9,249) and accumulated 79.5 minutes per week of MVPAbouted (95% CI: 71.1 to 87.9). Among Canadians employed in full-time work, 18.5% met the Canadian Physical Activity Guidelines. The high-activity group took significantly more steps and had a lower SED%, but spent a higher proportion of time in light-intensity PA compared with the intermediate- and low-activity groups. No differences were observed for MVPA. The low-activity group reported more recreational and active travel-related PA and leisure reading, while those in the high-activity group reported more work and domestic PA and leisure screen time. DISCUSSION: The majority of full-time working adults are not getting adequate MVPA and spend most of their day sedentary, regardless of occupation. Findings support workplace policies to improve MVPA levels among Canadian workers and to promote awareness for the potential benefit of occupation-specific messaging around PA and SB.

Workflow Analysis Driven Recommendations for Integration of Electronically-Enhanced Sexually Transmitted Infection Screening Tools in Pediatric Emergency Departments.

Adolescents are disproportionately affected by sexually transmitted infections (STIs). Failure to diagnose and treat STIs in a timely manner may result in serious sequelae. Adolescents frequently access the emergency department (ED) for care. Although ED-based STI screening is acceptable to both patients and clinicians, understanding how best to implement STI screening processes into the ED clinical workflow without compromising patient safety or efficiency is critical. The objective of this study was to conduct direct observations documenting current workflow processes and tasks during patient visits at six Pediatric Emergency Care Applied Research Network (PECARN) EDs for site-specific integration of STI electronically-enhanced screening processes. Workflow observations were captured via TaskTracker, a time and motion electronic data collection application that allows researchers to categorize general work processes and record multitasking by providing a timestamp of when tasks began and ended. Workflow was captured during 118 patient visits across six PECARN EDs. The average time to initial assessment by the most senior provider was 76 min (range 59-106 min, SD = 43 min). Care teams were consistent across sites, and included attending physicians, advanced practice providers, nurses, registration clerks, technicians, and students. A timeline belt comparison was performed. Across most sites, the most promising implementation of a STI screening tool was in the patient examination room following the initial patient assessment by the nurse.

Integrating proteomic or transcriptomic data into metabolic models using linear bound flux balance analysis.

Motivation: Transcriptomics and proteomics data have been integrated into constraint-based models to influence flux predictions. However, it has been reported recently for Escherichia coli and Saccharomyces cerevisiae, that model predictions from parsimonious flux balance analysis (pFBA), which does not use expression data, are as good or better than predictions from various algorithms that integrate transcriptomics or proteomics data into constraint-based models. Results: In this paper, we describe a novel constraint-based method called Linear Bound Flux Balance Analysis (LBFBA), which uses expression data (either transcriptomic or proteomic) to predict metabolic fluxes. The method uses expression data to place soft constraints on individual fluxes, which can be violated. Parameters in the soft constraints are first estimated from a training expression and flux dataset before being used to predict fluxes from expression data in other conditions. We applied LBFBA to E.coli and S.cerevisiae datasets and found that LBFBA predictions were more accurate than pFBA predictions, with average normalized errors roughly half of those from pFBA. For the first time, we demonstrate a computational method that integrates expression data into constraint-based models and improves quantitative flux predictions over pFBA. Availability and implementation: Code is available in the Supplementary data available at Bioinformatics online. Supplementary information: Supplementary data are available at Bioinformatics online.