Association of Normal-Range Hemoglobin A1c Value During Midpregnancy with Adverse Birth Outcomes.

BACKGROUND: The midpregnancy normal-range HbA1c value and adverse birth outcomes were controversial. To address this lack of data, we examined the associations between midpregnancy normal-range HbA1c value and adverse birth outcomes. OBJECTIVE: To evaluate whether an association exists between the midpregnancy normal-range HbA1c value and adverse birth outcomes. MATERIALS AND METHODS: A total of 8389 women in their midpregnancy with normal gestational HbA1c value from the Affiliated Hospital of Jining Medical University in China participated in this study from January to December 2019. Subjects were stratified on the basis of their midpregnancy HbA1c value, and multivariate logistic regression was implemented to investigate the association between different HbA1c values and adverse birth outcomes. RESULTS: Incidence of preterm birth, macrosomia, and large for gestational age (LGA) for 8389 subjects were 4.8%, 6.3% and 16.5%, respectively. The multivariate logistic regression model demonstrated that the risk of preterm birth (adjusted odds ratio [OR]: 1.71 and 95% confidence interval [CI]: 1.25-2.34), macrosomia (OR: 1.68 and 95% CI: 1.26-2.22), and LGA (OR: 1.53 and 95% CI: 1.28-1.83) increase for every increase of 1% maternal HbA1c. Women with a prepregnancy body mass index (BMI) of < 25 kg/m2 have a stronger correlation with HbA1c values and adverse birth outcomes than women with a prepregnancy BMI of ≥25 kg/m2. CONCLUSION: Our results indicated that the midpregnancy normal-range HbA1c level within the normal range is associated with adverse birth outcomes. Monitoring and controlling HbA1c may reduce the risk of adverse birth outcomes.

Development and Validation of a Portable and Inexpensive Tool to Measure the Drop Vertical Jump Using the Microsoft Kinect V2.

BACKGROUND: Noncontact anterior cruciate ligament (ACL) injury in adolescent female athletes is an increasing problem. The knee-ankle separation ratio (KASR), calculated at initial contact (IC) and peak flexion (PF) during the drop vertical jump (DVJ), is a measure of dynamic knee valgus. The Microsoft Kinect V2 has shown promise as a reliable and valid marker-less motion capture device. HYPOTHESIS: The Kinect V2 will demonstrate good to excellent correlation between KASR results at IC and PF during the DVJ, as compared with a "gold standard" Vicon motion analysis system. STUDY DESIGN: Descriptive laboratory study. LEVEL OF EVIDENCE: Level 2. METHODS: Thirty-eight healthy volunteer subjects (20 male, 18 female) performed 5 DVJ trials, simultaneously measured by a Vicon MX-T40S system, 2 AMTI force platforms, and a Kinect V2 with customized software. A total of 190 jumps were completed. The KASR was calculated at IC and PF during the DVJ. The intraclass correlation coefficient (ICC) assessed the degree of KASR agreement between the Kinect and Vicon systems. RESULTS: The ICCs of the Kinect V2 and Vicon KASR at IC and PF were 0.84 and 0.95, respectively, showing excellent agreement between the 2 measures. The Kinect V2 successfully identified the KASR at PF and IC frames in 182 of 190 trials, demonstrating 95.8% reliability. CONCLUSION: The Kinect V2 demonstrated excellent ICC of the KASR at IC and PF during the DVJ when compared with the Vicon system. A customized Kinect V2 software program demonstrated good reliability in identifying the KASR at IC and PF during the DVJ. CLINICAL RELEVANCE: Reliable, valid, inexpensive, and efficient screening tools may improve the accessibility of motion analysis assessment of adolescent female athletes.

Comparison of 3D Joint Angles Measured With the Kinect 2.0 Skeletal Tracker Versus a Marker-Based Motion Capture System.

The Microsoft Kinect is becoming a widely used tool for inexpensive, portable measurement of human motion, with the potential to support clinical assessments of performance and function. In this study, the relative osteokinematic Cardan joint angles of the hip and knee were calculated using the Kinect 2.0 skeletal tracker. The pelvis segments of the default skeletal model were reoriented and 3-dimensional joint angles were compared with a marker-based system during a drop vertical jump and a hip abduction motion. Good agreement between the Kinect and marker-based system were found for knee (correlation coefficient = 0.96, cycle RMS error = 11°, peak flexion difference = 3°) and hip (correlation coefficient = 0.97, cycle RMS = 12°, peak flexion difference = 12°) flexion during the landing phase of the drop vertical jump and for hip abduction/adduction (correlation coefficient = 0.99, cycle RMS error = 7°, peak flexion difference = 8°) during isolated hip motion. Nonsagittal hip and knee angles did not correlate well for the drop vertical jump. When limited to activities in the optimal capture volume and with simple modifications to the skeletal model, the Kinect 2.0 skeletal tracker can provide limited 3-dimensional kinematic information of the lower limbs that may be useful for functional movement assessment.

Strategies for human-driven robot comprehension of spatial descriptions by older adults in a robot fetch task.

This contribution presents a corpus of spatial descriptions and describes the development of a human-driven spatial language robot system for their comprehension. The domain of application is an eldercare setting in which an assistive robot is asked to "fetch" an object for an elderly resident based on a natural language spatial description given by the resident. In Part One, we describe a corpus of naturally occurring descriptions elicited from a group of older adults within a virtual 3D home that simulates the eldercare setting. We contrast descriptions elicited when participants offered descriptions to a human versus robot avatar, and under instructions to tell the addressee how to find the target versus where the target is. We summarize the key features of the spatial descriptions, including their dynamic versus static nature and the perspective adopted by the speaker. In Part Two, we discuss critical cognitive and perceptual processing capabilities necessary for the robot to establish a common ground with the human user and perform the "fetch" task. Based on the collected corpus, we focus here on resolving the perspective ambiguity and recognizing furniture items used as landmarks in the descriptions. Taken together, the work presented here offers the key building blocks of a robust system that takes as input natural spatial language descriptions and produces commands that drive the robot to successfully fetch objects within our eldercare scenario.