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A 14-year-old male presents with right elbow injury from a fall during soccer. Physical exam shows decreased range of motion, swelling, deformity and tenderness at the olecranon. X-rays reveal 18 mm displaced fracture of the olecranon process. Open reduction internal fixation of the elbow was performed using number 2 polyethylene suture and percutaneous k-wires. This avoids reoperation to remove hardware without compromising quality of reduction. This was first described in 2006 by Gortzak et al. and a similar technique is demonstrated here through audiovisual aid.

This is an Accepted Manuscript of an article published by Taylor & Francis Group in Computer Methods in Biomechanics and Biomedical Engineering on 2022, available online at: http://www.tandfonline.com/10.1080/10255842.2021.1943370. In-silico models applied to bone remodeling are widely used to investigate bone mechanics, bone diseases, bone-implant interactions, and also the effect of treatments of bone pathologies. This paper proposes a new methodology to solve the bone remodeling problem using one-dimensional (1D) elements to discretize trabecular structures more efficiently for 2D and 3D domains. An Euler integration scheme is coupled with the momentum equations to obtain the evolution of material density at each step. For the simulations, the equations were solved by using the finite element method, and two benchmark tests were solved varying mesh parameters. Proximal femur and calcaneus bone were selected as study cases given the vast research available on the topology of these bones, and compared with the anatomical features of trabecular bone reported in the literature. The presented methodology has proven to be efficient in optimizing topologies of lattice structures; It can predict the trend of formation patterns of the main trabecular groups from two different cancellous bones (femur and calcaneus) using domains set up by discrete elements as a starting point. Preliminary results confirm that the proposed approach is suitable and useful in bone remodeling problems leading to a considerable computational cost reduction. Characteristics similar to those encountered in topological optimization (TO) algorithms were identified in the benchmark tests as well, showing the viability of the proposed approach in other applications such as bio-inspired design.

Facial expression recognition plays an essential role in human conversation and human-computer interaction. Previous research studies have recognized facial expressions mainly based on 2D image processing requiring sensitive feature engineering and conventional machine learning approaches. The purpose of the present study was to recognize facial expressions by applying a new class of deep learning called geometric deep learning directly on 3D point cloud data. Two databases (Bosphorus and SIAT-3DFE) were used. The Bosphorus database includes sixty-five subjects with seven basic expressions (i.e., anger, disgust, fearness, happiness, sadness, surprise, and neutral). The SIAT-3DFE database has 150 subjects and 4 basic facial expressions (neutral, happiness, sadness, and surprise). First, preprocessing procedures such as face center cropping, data augmentation, and point cloud denoising were applied on 3D face scans. Then, a geometric deep learning model called PointNet++ was applied. A hyperparameter tuning process was performed to find the optimal model parameters. Finally, the developed model was evaluated using the recognition rate and confusion matrix. The facial expression recognition accuracy on the Bosphorus database was 69.01% for 7 expressions and could reach 85.85% when recognizing five specific expressions (anger, disgust, happiness, surprise, and neutral). The recognition rate was 78.70% with the SIAT-3DFE database. The present study suggested that 3D point cloud could be directly processed for facial expression recognition by using geometric deep learning approach. In perspectives, the developed model will be applied for facial palsy patients to guide and optimize the functional rehabilitation program.

Fractures involving the physes of the distal forearm are exceedingly common in children, representing upwards of 1/3 of all pediatric fractures. These injuries are often amenable to closed treatment, but physeal injury can lead to premature arrest and significant related long-term sequela. Common practice guidelines have not been established amongst the pediatric orthopaedic community for radiographic monitoring, need for 3-dimensional imaging, and treatment algorithms in these injuries. This review seeks to outline the literature and share the perspective and methods of a panel of leading pediatric upper extremity experts in hopes of providing a framework for better understanding these injuries and treating their growth-related sequelae.

In 2003, China enacted the Road Traffic Safety Law in an attempt to promote traffic safety. We employ a difference-in-differences strategy on province level data, where fire accidents are used as a control group for road accidents, to estimate the effects of the law on road accidents and casualties. Our findings suggest that while the law was successful in decreasing the number of accidents and casualties, the ratio of deaths to accidents and injuries to accidents increased. Exploring the potential channels, we find no evidence that “hit-and-kill” incentives, that is, incentives for motorists to kill the pedestrians that they hit due to China's peculiar personal injury compensation rules, drive the increase in death to accident ratio. We show that an increase in the severity of accidents could, in fact, be consistent with a model where all motorists drive more carefully after the reform, but have heterogeneous responses such that the decrease in accident probability is larger for safer than for riskier drivers.

8065 Background: Multiple myeloma (MM) is an incurable plasma cell malignancy. Precursor conditions include monoclonal gammopathy of unknown significance (MGUS) and smoldering multiple myeloma (SMM). Immune surveillance is paramount for keeping the malignancy in check, whereas a dysfunctional immune system is suspected to promote disease progression. Methods: We performed flow cytometric immune panel analyses including T-cell, B-cell, natural killer (NK) cell and dendritic cell (DC) subsets in MGUS, SMM, and MM patients between 2018-2021. Immune panels were analyzed on fresh peripheral blood samples drawn at diagnosis. The patient population were MGUS (n=28), SMM (n=19) and MM (n=94). Samples from MGUS and SMM patients were combined into a single group (asymptomatic) and were compared to MM patients (symptomatic). Lymphocytes were identified by CD45+ expression resolving against side-scattered light on a bivariate plot. B cell and NK cell antigen expression profiles were assessed from this lymphocyte population. T cell subsets were further determined by CD3+. The percent gated for each marker was summarized by cohort using the appropriate descriptive statistics and compared using the Mann-Whitney U exact test. Analyses were performed in SAS v9.4 (Cary, NC) using a two-sided α=0.05. Results: Compared to MGUS/SMM patients, MM patients had a significant lower proportion of naive B cells, NK cells, and cytolytic NK cells, and a significant higher proportion of cytolytic T cells at diagnosis (Table). Consistent with prior studies, we demonstrated an increase in exhaustion markers. There was a trend toward a higher population of CD8+ exhausted T cells in MM patients compared to MGUS/SMM patients. Since the follow up for this study was short, survival data is not mature. Conclusions: This study demonstrates the immune imbalance that occurs between myeloma precursor conditions and MM. There is a shift in certain cell subsets in the immune microenvironment that alters tumor immunosurveillance and tumor cell killing favoring disease progression. In data not shown, we are currently analyzing the bone marrow microenvironment and its relation to disease progression. Follow up studies could assess if therapeutic intervention could reverse the imbalance, restore homeostatic equilibrium with the goal of controlling disease long-term. [Table: see text]

A multi-pronged carbapenemase-producing Enterobacteriaceae (CPE) screening strategy was implemented in Hong Kong West healthcare network. Of 199,192 fecal specimens from 77,194 patients screening from 1 July 2011 to 30 June 2019, the incidence of CPE per 1000 patient admission significantly increased from 0.01 (2012) to 1.9 (2018) (p0.01). With appropriate infection control measures, the incidence of nosocomial CPE per 1000 CPE colonization day decreased from 22.34 (2014) to 10.65 (2018) (p=0.0094). Exposure to wet market for purchasing raw pork (p=0.007), beef (p=0.017), chicken (p=0.026), and vegetable (p=0.034) for3 times per week significantly associated with community acquisition of CPE. Strategic CPE control measures should be implemented in both the hospital and the community.

Background and Objective Facial palsy negatively affects both professional and personal life qualities of involved patients. Classical facial rehabilitation strategies can recover facial mimics into their normal and symmetrical movements and appearances. However, there is a lack of objective, quantitative, and in-vivo facial texture and muscle activation bio-feedbacks for personalizing rehabilitation programs and diagnosing recovering progresses. Consequently, this study proposed a novel patient-specific modelling method for generating a full patient specific head model from a visual sensor and then computing the facial texture and muscle activation in real-time for further clinical decision making. Methods The modeling workflow includes (1) Kinect-to-head, (2) head-to-skull, and (3) muscle network definition & generation processes. In the Kinect-to-head process, subject-specific data acquired from a new user in neutral mimic were used for generating his/her geometrical head model with facial texture. In particular, a template head model was deformed to optimally fit with high-definition facial points acquired by the Kinect sensor. Moreover, the facial texture was also merged from his/her facial images in left, right, and center points of view. In the head-to-skull process, a generic skull model was deformed so that its shape was statistically fitted with his/her geometrical head model. In the muscle network definition & generation process, a muscle network was defined from the head and skull models for computing muscle strains during facial movements. Muscle insertion points and muscle attachment points were defined as vertex positions on the head model and the skull model respectively based on the standard facial anatomy. Three healthy subjects and two facial palsy patients were selected for validating the proposed method. In neutral positions, magnetic resonance imaging (MRI)-based head and skull models were compared with Kinect-based head and skull models. In mimic positions, infrared depth-based head models in smiling and [u]-pronouncing mimics were compared with appropriate animated Kinect-driven head models. The Hausdorff distance metric was used for these comparisons. Moreover, computed muscle lengths and strains in the tested facial mimics were validated with reported values in literature. Results With the current hardware configuration, the patient-specific head model with skull and muscle network could be fast generated within 17.16±0.37s and animated in real-time with the framerate of 40 fps. In neutral positions, the best mean error was 1.91 mm for the head models and 3.21 mm for the skull models. On facial regions, the best mean errors were 1.53 mm and 2.82 mm for head and skull models respectively. On muscle insertion/attachment point regions, the best mean errors were 1.09 mm and 2.16 mm for head and skull models respectively. In mimic positions, these errors were 2.02 mm in smiling mimics and 2.00 mm in [u]-pronouncing mimics for the head models on facial regions. All above error values were computed on a one-time validation procedure. Facial muscles exhibited muscle shortening and muscle elongating for smiling and pronunciation of sound [u] respectively. Extracted muscle features (i.e. muscle length and strain) are in agreement with experimental and literature data. Conclusions This study proposed a novel modeling method for fast generating and animating patient-specific biomechanical head model with facial texture and muscle activation bio-feedbacks. The Kinect-driven muscle strains could be applied for further real-time muscle-oriented facial paralysis grading and other facial analysis applications.

Aim This study audits the delivery and standards of New Zealand (NZ) inflammatory bowel disease (IBD) care against international standards, with emphasis on the IBD nursing role. Methods Utilising international standards in IBD care, a 3 phase national multicentre survey study was performed between 2015 and 2019. We 1) evaluated the current role and practices of IBD nurses, 2) evaluated IBD service provision and identified areas for improvement, and 3) audited key aspects of IBD patient care, directly comparing nurse-led and doctor-led outpatient clinics. Results The median duration spent in an IBD nursing role was 21 months (range 2 to 120 months) with the majority (12/15) performing two or more nursing roles. The median IBD nurse full-time equivalent (FTE) was 0.8 (range 0.2 to 1.25). The average number of hours spent undertaking IBD nursing tasks was 22.2 – a 6.8-hour shortfall compared to rostered hours. No service had a per capita IBD multidisciplinary team (MDT) FTE which met international standards. Just under two-thirds (62.5%) of departments held a regular MDT meeting. All responding services could be contacted directly by IBD patients and respond within 48 hours of contact. During 492 doctor-led and 196 nurse-led scheduled outpatient clinic visits, nurses were significantly more likely to document weight, smoking status and organise appropriate colonoscopic surveillance than doctors. Conclusion Multiple nursing job roles resulted in rostered hours being insufficient to complete IBD specific tasks. IBD FTE did not meet international standards. The IBD care was patient-centred, encouraging direct contact from patients with prompt response. IBD nurses in NZ provide high-quality outpatient care when measured against auditable standards. As the IBD nursing role continues to develop, following the implementation of an educational framework and education programme, an increase in numbers is required in order to achieve the recommended minimum FTE per 250 000 population.

International audience; Simulating deformations of soft tissues is a complex engineering task, and it is even more difficult when facing the constraint between computation speed and system accuracy. However, literature lacks of a holistic review of all necessary aspects (computational approaches, interaction devices, system architectures, and clinical validations) for developing an effective system of soft-tissue simulations. This paper summarizes and analyses recent achievements of resolving these issues to estimate general trends and weakness for future developments. A systematic review process was conducted using the PRISMA protocol with three reliable scientific search engines (ScienceDirect, PubMed, and IEEE). Fifty-five relevant papers were finally selected and included into the review process, and a quality assessment procedure was also performed on them. The computational approaches were categorized into mesh, meshfree, and hybrid approaches. The interaction devices concerned about combination between virtual surgical instruments and force-feedback devices, 3D scanners, biomechanical sensors, human interface devices, 3D viewers, and 2D/3D optical cameras. System architectures were analysed based on the concepts of system execution schemes and system frameworks. In particular, system execution schemes included distribution-based, multithread-based, and multimodel-based executions. System frameworks are grouped into the input and output interaction frameworks, the graphic interaction frameworks, the modelling frameworks, and the hybrid frameworks. Clinical validation procedures are ordered as three levels: geometrical validation, model behavior validation, and user acceptability/safety validation. The present review paper provides useful information to characterize how real-time medical simulation systems with soft-tissue deformations have been developed. By clearly analysing advantages and drawbacks in each system development aspect, this review can be used as a reference guideline for developing systems of soft-tissue simulations.

International audience; Background and Objective: Head and facial mimic animations play important roles in various fields such as human-machine interactions, internet communications, multimedia applications, and facial mimic analysis. Numerous studies have been trying to simulate these animations. However, they hardly achieved all requirements of full rigid head and non-rigid facial mimic animations in a subject-specific manner with real-time framerates. Consequently, this present study aimed to develop a real-time computer vision system for tracking simultaneously rigid head and non-rigid facial mimic movements. Methods: Our system was developed using the system of systems approach. A data acquisition sub-system was implemented using a contactless Kinect sensor. A subject-specific model generation sub-system was designed to create the geometrical model from the Kinect sensor without texture information. A subject-specific texture generation sub-system was designed for enhancing the reality of the generated model with texture information. A head animation sub-system with graphical user interfaces was also developed. Model accuracy and system performances were analyzed. Results: The comparison with MRI-based model shows a very good accuracy level (distance deviation of similar to 1 mm in neutral position and an error range of [2-3 mm] for different facial mimic positions) for the generated model from our system. Moreover, the system speed can be optimized to reach a high framerate (up to 60 fps) during different head and facial mimic animations. Conclusions: This study presents a novel computer vision system for tracking simultaneously subject-specific rigid head and non-rigid facial mimic movements in real time. In perspectives, serious game technology will be integrated into this system towards a full computer-aided decision support system for facial rehabilitation. (C) 2020 Elsevier B.V. All rights reserved.

This study analyzes whether parental monetary investments in children stimulate support from sons and daughters. Using data from the China Health and Retirement Longitudinal Study, I find that parents invested twice more in sons than in daughters in terms of college education spending and marriage gifts value. Conversely, higher parental monetary investments are associated with higher increases in support from daughters than from sons in terms of best living proximity and most help with activities of daily living. Parental monetary investments in sons’ college education are positively associated with sons’ income and negatively associated with sons’ instrumental support, suggesting that such investments potentially generate higher opportunity costs of time for sons. Meanwhile, parental monetary investments in daughters’ marriage are positively associated with daughters’ instrumental support, which may occur through an income effect or through reciprocity from daughters. There is no conclusive evidence that parental monetary investments stimulate monetary and in-kind transfers from children, suggesting that material support possibly occurs out of social norm courtesy.

Background: Fatigue is a symptom commonly reported by patients with inflammatory bowel disease (IBD). Treating any underlying inflammation in active disease improves the health outcomes and decreases fatigue, but fatigue still persists in remission, negatively affecting patients’ quality of life and posing a challenge for the treating physician. The aim of this study was to describe the prevalence of fatigue in patients with IBD and investigate possible contributing factors. Methods: Recruited IBD patients from the Otago region in southern New Zealand were asked to complete demographic, physical activity (IPAQ) and fatigue questionnaires (Brief Fatigue Inventory, Multidimensional Fatigue Inventory). Disease activity and factors contributing to fatigue were assessed through self-reporting and laboratory biomarkers. Results: One hundred and thirteen of the contacted 469 IBD patients participated in the study. Depending on the questionnaire used, the prevalence of fatigue in IBD was high in remission (39.5–44.2%) but significantly higher (p < 0.001) in active disease (80.0–82.9%). Several factors such as age, disease duration, level of physical activity, gender and diet were found to be associated with increased fatigue and were attributed to either mental or physical fatigue categories. Multifactorial Fatigue Inventory provided insights into different types of fatigue, and revealed a significant mental fatigue component in both active and remission disease patients. Iron deficiency was not associated with fatigue levels. Conclusions: Fatigue in IBD is multi-faceted and highly prevalent in both active and remission IBD. Further investigations, addressing the complexity of the symptom and its reporting are needed.

Current musculoskeletal modeling does not take the functionally initial standing posture of the lumbar spine system into consideration. This may lead to inaccurate simulation outcomes for clinical decision support. This present study aimed to develop a fusion process from multimodal medical images for developing, simulating, and assessing patient specific musculoskeletal model of the lumbar spine system in functional posture. Computed tomography (CT) and X-rays were acquired on a patient. A 3D/2D matching procedure was developed using feature-based approach to transform CT-based 3D geometries into standing posture. Then, a musculoskeletal model was developed including 7 segments, 18-DOF (degrees of freedom) and 126 muscle fascicles. Model evaluation was performed using X-ray data and curvature metric. Muscle force deviations were quantified for the comparison between image-based model and generic-scaled model as well as for the sensitivity of psoas major attachment point definition. Curvatures of the simulation outcomes fall within the range of X-ray data for extension posture. Difference was noted for flexed posture. The use of generic model leads to a deviation of 66% of the muscle forces according to the image-based model. A maximal relative deviation of 4% of the estimated psoas major fascicle force was found for the analysis of the sensitivity of muscle attachment point. This study proposed a useful data fusion process from multimodal medical images to create patient specific lumbar spine model in correct initial posture leading to perform accurate dynamic simulations. Moreover, this study suggested that image-based model needs to be developed for clinical decision making related to spinal disorders.

Objectives. To describe cases and estimate the annual incidence of tuberculosis in correctional facilities. Methods. We analyzed 2002 to 2013 National Tuberculosis Surveillance System case reports to characterize individuals who were employed or incarcerated in correctional facilities at time they were diagnosed with tuberculosis. Incidence was estimated with Bureau of Justice Statistics denominators. Results. Among 299 correctional employees with tuberculosis, 171 (57%) were US-born and 82 (27%) were female. Among 5579 persons incarcerated at the time of their tuberculosis diagnosis, 2520 (45%) were US-born and 495 (9%) were female. Median estimated annual tuberculosis incidence rates were 29 cases per 100 000 local jail inmates, 8 per 100 000 state prisoners, and 25 per 100 000 federal prisoners. The foreign-born proportion of incarcerated men 18 to 64 years old increased steadily from 33% in 2002 to 56% in 2013. Between 2009 and 2013, tuberculosis screenings were reported as leading to 10% of diagnoses among correctional employees, 47% among female inmates, and 42% among male inmates. Conclusions. Systematic screening and treatment of tuberculosis infection and disease among correctional employees and incarcerated individuals remain essential to tuberculosis prevention and control.

The integration of the human body structure and function into the design of human-exoskeleton interface is an engineering challenge. A solution to overcome this problem is the use of musculoskeletal modeling tools such as OpenSIM. The objective of this paper is to develop and use an upper limb musculoskeletal model using OpenSIM to evaluate a Proportional Derivative controller (PD) of an exoskeleton. Obtained results show that the proposed musculoskeletal model could be a reliable tool for exoskeleton design study and controller testing when joint elbow speed is not superior to 300 °/ sec.

Background Providing timely follow-up care for patients with inflammatory bowel disease in remission is important but often difficult because of resource limitations. Using smartphones to communicate symptoms and biomarkers is a potential alternative. We aimed to compare outpatient management using 2 smartphone apps (IBDsmart for symptoms and IBDoc for fecal calprotectin monitoring) vs standard face-to-face care. We hypothesized noninferiority of quality of life and symptoms at 12 months plus a reduction in face-to-face appointments in the smartphone app group. Methods Inflammatory bowel disease outpatients (previously seen more often than annually) were randomized to smartphone app or standard face-to-face care over 12 months. Quality of life and symptoms were measured quarterly for 12 months. Acceptability was measured for gastroenterologists and patients at 12 months. Results One hundred people (73 Crohn’s disease, 49 male, average age 35 years) consented and completed baseline questionnaires (50 in each group). Intention-to-treat and per-protocol analyses revealed noninferiority of quality of life and symptom scores at 12 months. Outpatient appointment numbers were reduced in smartphone app care (P < 0.001). There was no difference in number of surgical outpatient appointments or number of disease-related hospitalizations between groups. Adherence to IBDsmart (50% perfect adherence) was slightly better than adherence to IBDoc (30% perfect adherence). Good acceptability was reported among most gastroenterologists and patients. Conclusions Remote symptom and fecal calprotectin monitoring is effective and acceptable. It also reduces the need for face-to-face outpatient appointments. Patients with mild-to-moderate disease who are not new diagnoses are ideal for this system. Clinical Trial Registration Number ACTRN12615000342516.

The possibility of engaging in household child care may exacerbate the incentives of parents and grandparents to falsely claim disability benefits as households also get to save on formal child care costs. This paper considers a multi-generational family model with persistence in privately observed shocks and presents an efficient implementation case for subsidizing formal child care costs of the disabled. An implementation of the optimal scheme that consists of capped formal day care subsidies, non-linear income taxation and asset-testing is proposed. Simulations based on a parametrization that targets key features of the US labor and child care markets suggest that day care subsidies may lead to sizeable cost savings.

The objective of this article is to address the methodology developed to model the musculoskeletal systems with material, geometry, forces knowledge extracted from medical imaging. For hard tissue, from computed tomography personalized bone mechanical properties could be extracted and moreover its follow up could provide data for validation of patient-specific predictions. For soft tissue, mechanical, physical, and biochemical properties can be extracted from magnetic resonance imaging (MRI). Advanced MRI such as dynamic MRI and magnetic resonance elastrography allowed, respectively, to analyze the in vivo forces generated by the muscles in movement but also its mechanical properties in passive and active behavior. Based on these knowledges, patient-specific geometry, mechanical properties, and forces assessed are derived from advanced medical imaging techniques. These data are of importance for developing patient-specific computer modeling for prediction and evaluation of therapeutic, surgical, or functional rehabilitation treatments. Notions of reliability of the numerical models and uncertainty are addressed in order to provide an objective tool for aided decision support system to clinicians. Clinical applications will be given as illustrative examples.

Finite elasticity theory has been commonly used to model skeletal muscle. A very large range of heterogeneous constitutive laws has been proposed. In this review, the most widely used continuum models of skeletal muscles were synthetized and discussed. Trends and limitations of these laws were highlighted to propose new recommendations for future researches. A systematic review process was performed using two reliable search engines as PubMed and ScienceDirect. 40 representative studies (13 passive muscle materials and 27 active muscle materials) were included into this review. Note that exclusion criteria include tendon models, analytical models, 1D geometrical models, supplement papers, and indexed conference papers. Trends of current skeletal muscle modeling relate to 3D accurate muscle representation, parameter identification in passive muscle modeling, and the integration of coupled biophysical phenomena. Parameter identification for active materials, assumed fiber distribution, data assumption, and model validation are current drawbacks. New recommendations deal with the incorporation of multimodal data derived from medical imaging, the integration of more biophysical phenomena, and model reproducibility. Accounting for data uncertainty in skeletal muscle modeling will be also a challenging issue. This review provides, for the first time, a holistic view of current continuum models of skeletal muscles to identify potential gaps of current models according to the physiology of skeletal muscle. This opens new avenues for improving skeletal muscle modeling in the framework of in silico medicine.

ObjectiveTo explore how adults living with Inflammatory Bowel Disease (IBD) in rural New Zealand manage their condition and engage with health care providers.DesignQualitative exploratory design with semi-structured interviews analysed thematically.Setting and participantsInterviews were conducted with 18 people living with IBD in the Otago region of the South Island.ResultsFive important constructs were identified: 1. Journey to confirming and accepting diagnosis; 2. Importance of the relationship with the health care team; 3. Support from others; 4. Learning how to manage IBD; and 5. Care at a distance - experiences of rurality. Pathways to confirming diagnosis involved two contrasting journeys: a long and slow process where diagnosis remained unclear for a prolonged period, and a more acute process where diagnosis typically came as a shock. Central to the acceptance process was acknowledging the chronicity of the condition, which involved feelings of grief but also the fear of judgement and stigma. Building a strong relationship with the specialist was central to medical management, particularly in the initial stage following diagnosis. Support from others was critical, enabling participants to progress through acceptance of the disease and developing confidence in its everyday management. Participants shared different strategies on how to manage IBD, describing a “trial and error” process of “finding what’s right” at different stages of the condition. Managing IBD rurally involved challenges of access to specialist care, with perceptions of delayed referrals and concerns about disparities in specialist access compared to urban counterparts. Rural living also had financial implications - cost of time and cost of mobilising resources for long travels to the urban centre for treatments.ConclusionsFindings from this study provide a rich understanding of the complex health journeys of people living with IBD and the challenges of managing the condition rurally.STRENGTHS AND LIMITATIONS OF THIS STUDY

Background: Incense burning for rituals or religious purposes is an important tradition in many countries. However, incense smoke contains particulate matter and gas products such as carbon monoxide, sulfur, and nitrogen dioxide, which are potentially harmful to health. Objectives: We analyzed the relationship between prenatal incense burning and birth weight and head circumference at birth using the Taiwan Birth Cohort Study. We also analyzed whether the associations varied by sex and along the distribution of birth outcomes. Methods: We performed ordinary least squares (OLS) and quantile regressions analysis on a sample of 15,773 term births (> 37 gestational weeks; 8,216 boys and 7,557 girls) in Taiwan in 2005. The associations were estimated separately for boys and girls as well as for the population as a whole. We controlled extensively for factors that may be correlated with incense burning and birth weight and head circumference, such as parental religion, demographics, and health characteristics, as well as pregnancy-related variables. Results: Findings from fully adjusted OLS regressions indicated that exposure to incense was associated with lower birth weight in boys (–18 g; 95% CI: –36, –0.94) but not girls (1 g; 95% CI: –17, 19; interaction p-value = 0.31). Associations with head circumference were negative for boys (–0.95 mm; 95% CI: –1.8, –0.16) and girls (–0.71 mm; 95% CI: –1.5, 0.11; interaction p-values = 0.73). Quantile regression results suggested that the negative associations were larger among the lower quantiles of birth outcomes. Conclusions: OLS regressions showed that prenatal incense burning was associated with lower birth weight for boys and smaller head circumference for boys and girls. The associations were more pronounced among the lower quantiles of birth outcomes. Further research is necessary to confirm whether incense burning has differential effects by sex. Citation: Chen LY, Ho C. 2016. Incense burning during pregnancy and birth weight and head circumference among term births: The Taiwan Birth Cohort Study. Environ Health Perspect 124:1487–1492; http://dx.doi.org/10.1289/ehp.1509922