Characterizing and predicting person-specific, day-to-day, fluctuations in walking behavior

Despite the positive health effect of physical activity, one third of the world's population is estimated to be insufficiently active. Prior research has mainly investigated physical activity on an aggregate level over short periods of time, e.g., during 3 to 7 days at baseline and a few months later, post-intervention. To develop effective interventions, we need a better understanding of the temporal dynamics of physical activity. We proposed here an approach to studying walking behavior at "high-resolution" and by capturing the idiographic and day-to-day changes in walking behavior. We analyzed daily step count among 151 young adults with overweight or obesity who had worn an accelerometer for an average of 226 days (~25,000 observations). We then used a recursive partitioning algorithm to characterize patterns of change, here sudden behavioral gains and losses, over the course of the study. These behavioral gains or losses were defined as a 30% increase or reduction in steps relative to each participants' median level of steps lasting at least 7 days. After the identification of gains and losses, fluctuation intensity in steps from each participant's individual time series was computed with a dynamic complexity algorithm to identify potential early warning signals of sudden gains or losses. Results revealed that walking behavior change exhibits discontinuous changes that can be described as sudden gains and losses. On average, participants experienced six sudden gains or losses over the study. We also observed a significant and positive association between critical fluctuations in walking behavior, a form of early warning signals, and the subsequent occurrence of sudden behavioral losses in the next days. Altogether, this study suggests that walking behavior could be well understood under a dynamic paradigm. Results also provide support for the development of "just-in-time adaptive" behavioral interventions based on the detection of early warning signals for sudden behavioral losses

Resilience of the Dutch HPV-based cervical screening programme during the COVID-19 pandemic

Objectives: Organisation of a screening programme influences programme resilience to a disruption as COVID-19. Due to COVID-19, the Dutch human papillomavirus–based cervical screening programme was temporarily suspended. Afterwards, multiple measures have been taken to catch-up participation. This study aimed to investigate programme resilience by examining the effect of COVID-19 and programme measures taken on participation in cervical screening. Study design: Observational cohort study. Methods: Data from the national screening registry and Dutch nationwide pathology databank (Palga) were used on invitations and follow-up in 2018/2019 (pre-COVID) and 2020 (COVID). Sending invitations, reminders and self-sampling kits were suspended from March to July 2020. Main outcome measures include distribution of participant characteristics (age, region and screening history), participation rates by age and region, time between invitation and participation (i.e. response time) and self-sampling use per month. Results: Participation rate was significantly lower in 2020 (49.8%) compared to 2018/19 (56.8%, P &lt; 0.001), in all ages and regions. Compared to 2018/19, participation rates decreased most in women invited from January to March 2020 (−6.7%, −9.1% and −10.4%, respectively). From August, participation rates started to recover (difference between −0.8% and −2.7%). Median response time was longer in February and March (2020: 143 and 173 days; 2018/19: 53 and 55 days) and comparable from July onwards (median difference 0–6 days). Self-sampling use was higher in 2020 (16.3%) compared to 2018/19 (7.6%). Conclusions: The pandemic impacted participation rates in the Dutch cervical screening programme, especially of women invited before the programme pause. Implementation of self-sampling in national cervical screening programmes could increase participation rates and could serve as an alternative screening method in times of exceptional health care circumstances, such as a pandemic. Due to the well-organised programme and measures taken to catch-up participation, the impact of COVID-19 on the screening programme remained small.</p

Extension of the recorded host range of Caribbean Christmas tree worms (<i>Spirobranchus</i> spp.) with two Scleractinians, a Zoantharian, and an Ascidian

Caribbean Christmas tree worms (Annelida: Polychaeta: Serpulidae: Spirobranchus) are considered host generalists in their associations with anthozoan (Scleractinia) and hydrozoan (Millepora) stony corals [...

Acute effects of decaffeinated coffee and the major coffee components chlorogenic acid and trigonelline on incretin hormones

Coffee consumption is associated with a lower risk of type 2 diabetes. We tested the hypothesis that this is mediated by incretin hormones by measuring the acute effects of decaffeinated coffee and coffee components on GLP-1 and GIP concentrations. A randomized cross-over trial of the effects of 12 g decaffeinated coffee, 1 g chlorogenic acid, 500 mg trigonelline, and placebo on total and intact GLP-1 and GIP concentrations during an oral glucose tolerance test took place in fifteen overweight men. No treatment significantly affected the overall GLP-1 or GIP secretion pattern following an OGTT relative to placebo. Decaffeinated coffee slightly increased total GLP-1 concentration 30 minutes after ingestion (before the OGTT) relative to placebo (2.7 pmol/L, p = 0.03), but this change did not correspond with changes in glucose or insulin secretion. These findings do not support the hypothesis that coffee acutely improves glucose tolerance through effects on the secretion of incretin hormones. Chronic effects of coffee and its major components still need to be investigated

Acute Effects of Decaffeinated Coffee and the Major Coffee Components Chlorogenic Acid and Trigonelline on Glucose Tolerance

OBJECTIVE: Coffee consumption has been associated with lower risk of type 2 diabetes. We evaluated the acute effects of decaffeinated coffee and the major coffee components chlorogenic acid and trigonelline on glucose tolerance. RESEARCH DESIGN AND METHODS: We conducted a randomized crossover trial of the effects of 12 g decaffeinated coffee, 1 g chlorogenic acid, 500 mg trigonelline, and placebo (1 g mannitol) on glucose and insulin concentrations during a 2-h oral glucose tolerance test (OGTT) in 15 overweight men. RESULTS Chlorogenic acid and trigonelline ingestion significantly reduced glucose (−0.7 mmol/l, P = 0.007, and −0.5 mmol/l, P = 0.024, respectively) and insulin (−73 pmol/l, P = 0.038, and −117 pmol/l, P = 0.007) concentrations 15 min following an OGTT compared with placebo. None of the treatments affected insulin or glucose area under the curve values during the OGTT compared with placebo. CONCLUSIONS: Chlorogenic acid and trigonelline reduced early glucose and insulin responses during an OGTT

Machine learning based natural language processing of radiology reports in orthopaedic trauma

OBJECTIVES: To compare different Machine Learning (ML) Natural Language Processing (NLP) methods to classify radiology reports in orthopaedic trauma for the presence of injuries. Assessing NLP performance is a prerequisite for downstream tasks and therefore of importance from a clinical perspective (avoiding missed injuries, quality check, insight in diagnostic yield) as well as from a research perspective (identification of patient cohorts, annotation of radiographs). METHODS: Datasets of Dutch radiology reports of injured extremities (n = 2469, 33% fractures) and chest radiographs (n = 799, 20% pneumothorax) were collected in two different hospitals and labeled by radiologists and trauma surgeons for the presence or absence of injuries. NLP classification was applied and optimized by testing different preprocessing steps and different classifiers (Rule-based, ML, and Bidirectional Encoder Representations from Transformers (BERT)). Performance was assessed by F1-score, AUC, sensitivity, specificity and accuracy. RESULTS: The deep learning based BERT model outperforms all other classification methods which were assessed. The model achieved an F1-score of (95 ± 2)% and accuracy of (96 ± 1)% on a dataset of simple reports (n= 2469), and an F1 of (83 ± 7)% with accuracy (93 ± 2)% on a dataset of complex reports (n= 799). CONCLUSION: BERT NLP outperforms traditional ML and rule-base classifiers when applied to Dutch radiology reports in orthopaedic trauma

The cost effectiveness of personalized dietary advice to increase protein intake in older adults with lower habitual protein intake : a randomized controlled trial

Purpose To examine the cost effectiveness of dietary advice to increase protein intake on 6-month change in physical functioning among older adults. Methods In this multicenter randomized controlled trial, 276 community-dwelling older adults with a habitual protein intake = 1.2 g/kg aBW/d (PROT, n = 96), Intervention 2; similar advice and in addition advice to consume protein (en)rich(ed) foods within half an hour after usual physical activity (PROT + TIMING, n = 89), or continue the habitual diet with no advice (CON, n = 91). Primary outcome was 6-month change in 400-m walk time. Secondary outcomes were 6-month change in physical performance, leg extension strength, grip strength, body composition, self-reported mobility limitations and quality of life. We evaluated cost effectiveness from a societal perspective. Results Compared to CON, a positive effect on walk time was observed for PROT; - 12.4 s (95%CI, - 21.8 to - 2.9), and for PROT + TIMING; - 4.9 s (95%CI, - 14.5 to 4.7). Leg extension strength significantly increased in PROT (+ 32.6 N (95%CI, 10.6-54.5)) and PROT + TIMING (+ 24.3 N (95%CI, 0.2-48.5)) compared to CON. No significant intervention effects were observed for the other secondary outcomes. From a societal perspective, PROT was cost effective compared to CON. Conclusion Dietary advice to increase protein intake to >= 1.2 g/kg aBW/d improved 400-m walk time and leg strength among older adults with a lower habitual protein intake. From a societal perspective, PROT was considered cost-effective compared to CON. These findings support the need for re-evaluating the protein RDA of 0.8 g/kg BW/d for older adults.Peer reviewe