Physical behaviors (e.g., sleep, sedentary behavior, and physical activity) often occur in sustained bouts that are punctuated with brief interruptions. To detect and classify these interrupted bouts, researchers commonly use wearable devices and specialized algorithms. Most algorithms examine the data in chronological order, initiating and terminating bouts whenever specific criteria are met. Consequently, the bouts may encapsulate or overlap with later periods that also meet the activation and termination criteria (i.e., alternative bout solutions). In some cases, it is desirable to compare these alternative bout solutions before making a final classification. Thus, comparison-focused algorithms are needed, which can be used in isolation or in concert with their chronology-focused counterparts. In this technical note, we present a comparison-focused algorithm called CRIB (Clustered Recognition of Interrupted Bouts). It uses agglomerative hierarchical clustering to facilitate the comparison of different bout solutions, with the final classification being made in favor of the smallest number of bouts that comply with user-specified criteria (i.e., limits on the number, individual duration, and cumulative duration of interruptions). For demonstration, we use CRIB to assess bouts of moderate to vigorous physical activity in accelerometer data from the National Health and Nutrition Examination Survey, and we include a comparison against results from two established chronology-focused algorithms. Our discussion explores strengths and limitations of CRIB, as well as potential considerations and applications for using it in future studies. An online vignette (https://github.com/paulhibbing/PBpatterns/blob/main/vignettes/CRIB.pdf) is available to assist users with implementing CRIB in R.
Paul R. Hibbing, Seth A. Creasy, and Jordan A. Carlson
John Bellettiere, Supun Nakandala, Fatima Tuz-Zahra, Elisabeth A.H. Winkler, Paul R. Hibbing, Genevieve N. Healy, David W. Dunstan, Neville Owen, Mikael Anne Greenwood-Hickman, Dori E. Rosenberg, Jingjing Zou, Jordan A. Carlson, Chongzhi Di, Lindsay W. Dillon, Marta M. Jankowska, Andrea Z. LaCroix, Nicola D. Ridgers, Rong Zablocki, Arun Kumar, and Loki Natarajan
Background: Hip-worn accelerometers are commonly used, but data processed using the 100 counts per minute cut point do not accurately measure sitting patterns. We developed and validated a model to accurately classify sitting and sitting patterns using hip-worn accelerometer data from a wide age range of older adults. Methods: Deep learning models were trained with 30-Hz triaxial hip-worn accelerometer data as inputs and activPAL sitting/nonsitting events as ground truth. Data from 981 adults aged 35–99 years from cohorts in two continents were used to train the model, which we call CHAP-Adult (Convolutional Neural Network Hip Accelerometer Posture-Adult). Validation was conducted among 419 randomly selected adults not included in model training. Results: Mean errors (activPAL − CHAP-Adult) and 95% limits of agreement were: sedentary time −10.5 (−63.0, 42.0) min/day, breaks in sedentary time 1.9 (−9.2, 12.9) breaks/day, mean bout duration −0.6 (−4.0, 2.7) min, usual bout duration −1.4 (−8.3, 5.4) min, alpha .00 (−.04, .04), and time in ≥30-min bouts −15.1 (−84.3, 54.1) min/day. Respective mean (and absolute) percent errors were: −2.0% (4.0%), −4.7% (12.2%), 4.1% (11.6%), −4.4% (9.6%), 0.0% (1.4%), and 5.4% (9.6%). Pearson’s correlations were: .96, .92, .86, .92, .78, and .96. Error was generally consistent across age, gender, and body mass index groups with the largest deviations observed for those with body mass index ≥30 kg/m2. Conclusions: Overall, these strong validation results indicate CHAP-Adult represents a significant advancement in the ambulatory measurement of sitting and sitting patterns using hip-worn accelerometers. Pending external validation, it could be widely applied to data from around the world to extend understanding of the epidemiology and health consequences of sitting.
Lori A. Gano-Overway
Ruth F. Hunter and Ione Avila-Palencia
This article is a critical celebration of Title IX. Fifty years of this landmark civil rights legislation has brought tremendous progress for girls and women in all areas of the U.S. educational system—including sport. However, Title IX has yet to achieve its full potential. For this to happen, I propose nine pressing issues that must be addressed: enforcing compliance; roster management and other dubious compliance tactics; more opportunities for women of color; the leadership gap; sex-segregated sport; the inclusion of transgender athletes; name, image, and likeness opportunities; the athletic arms race; and sexual harassment and violence. Based on current, scholarship, published data, and contemporary examples, this “nine for IX” approach is not a critique of the law but rather a critique of those aspects of American interscholastic and intercollegiate sport that continually hamstring Title IX’s power.
Ellen J. Staurowsky, Courtney L. Flowers, Erin Buzuvis, Lindsay Darvin, and Natalie Welch
In 2022, the Women’s Sports Foundation published a report addressing the current status of Title IX compliance in U.S school-based sports, examining the limitations of Title IX as a single axis law that addresses gender but not other areas of intersectionality including race, gender identity, sexual orientation, and ability. What is presented here is the executive summary and policy recommendations from the report.
Akilah R. Carter-Francique, Yeomi Choi, DeAnne Davis Brooks, Katherine M. Jamieson, and Judy Liao
William Bellew, Tracy Nau, Ben J. Smith, Melody Ding, and Adrian Bauman
This essay gives a personal viewpoint of the environment for girls’ and women’s sport in the years surrounding the origination of Title IX and the organizational impacts unleashed by this legislation. Particular attention is given to the, somewhat surprising, degree to which men in power positions in sport benefitted from Title IX’s uneven pattern of enactment. A cautionary note suggests that advocates in future work take careful steps so that language and protocols of potential legislation assure benefits to the intended beneficiaries rather than others. A concluding assessment asserts that one of the strongest positives of Title IX is a shift in stance of female athletes from being “grateful for banquet leftovers” to an expectation of equity in treatment and benefits.