More Like this

1. Query-constraint-based mining of association rules for exploratory analysis of clinical datasets in the National Sleep Research Resource

   https://doi.org/10.1186/s12911-018-0633-7  

   Abeysinghe, Rashmie ; Cui, Licong ( July 2018 , BMC Medical Informatics and Decision Making)
2. Query-constraint-based association rule mining from diverse clinical datasets in the national sleep research resource

   https://doi.org/10.1109/BIBM.2017.8217834  

   Abeysinghe, Rashmie ; Cui, Licong ( November 2017 , 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM))
3. Comparing eating disorder characteristics and treatment in self‐identified competitive athletes and non‐athletes from the National Eating Disorders Association online screening tool

   https://doi.org/10.1002/eat.23415  

   Flatt, Rachael E. ; Thornton, Laura M. ; Fitzsimmons‐Craft, Ellen E. ; Balantekin, Katherine N. ; Smolar, Lauren ; Mysko, Claire ; Wilfley, Denise E. ; Taylor, C. Barr ; DeFreese, J. D. ; Bardone‐Cone, Anna M. ; et al ( November 2020 , International Journal of Eating Disorders)

   We compared eating disorder (ED) characteristics and treatment seeking behaviors between self‐identified competitive athletes and non‐athletes in a large, community‐based sample.

   During the 2018 National Eating Disorders Awareness Week, 23,920 respondents, 14.7% of whom identified as competitive athletes, completed the National Eating Disorders Association online screen. Data were collected on demographics, disordered eating behaviors, probable ED diagnosis/risk, treatment history, and intent to seek treatment.

   The sample was predominantly White (81.8%), female (90.3%), and between 13 and 24 years (82.6%). Over 86% met criteria for an ED/subthreshold ED, and of those, only 2.5% were in treatment. Suicidal ideation was reported in over half of the sample. Athletes reported a significantly greater likelihood of engaging in and more frequent excessive exercise episodes than non‐athletes. Athletes also reported a significantly lower likelihood of engaging in and less frequent binge‐eating episodes compared with non‐athletes. Athletes were more likely to screen positive for an ED/subthreshold ED than non‐athletes, but percentages across all probable ED diagnoses were similar. No significant differences between athletes and non‐athletes emerged on treatment history or intention to seek treatment post‐screen (less than 30%).

   Although the distribution of probable ED diagnoses was similar in athletes and non‐athletes, symptom profiles related to disordered eating behavior engagement and frequency may differ. Athletes may be less likely to seek treatment due to stigma, accessibility, and sport‐specific barriers. Future work should directly connect survey respondents to tailored treatment tools and increase motivation to seek treatment.

    

   more » « less
4. Association of Longitudinal Activity Measures and Diabetes Risk: An Analysis From the National Institutes of Health All of Us Research Program

   https://doi.org/10.1210/clinem/dgac695  

   Perry, Andrew S. ; Annis, Jeffrey S. ; Master, Hiral ; Nayor, Matthew ; Hughes, Andrew ; Kouame, Aymone ; Natarajan, Karthik ; Marginean, Kayla ; Murthy, Venkatesh ; Roden, Dan M. ; et al ( December 2022 , The Journal of Clinical Endocrinology & Metabolism)

   Prior studies of the relationship between physical activity and incident type 2 diabetes mellitus (T2DM) relied primarily on questionnaires at a single time point.

   We sought to investigate the relationship between physical activity and incident T2DM with an innovative approach using data from commercial wearable devices linked to electronic health records in a real-world population.

   Using All of Us participants’ accelerometer data from their personal Fitbit devices, we used a time-varying Cox proportional hazards models with repeated measures of physical activity for the outcome of incident T2DM. We evaluated for effect modification with age, sex, body mass index (BMI), and sedentary time using multiplicative interaction terms.

   From 5677 participants in the All of Us Research Program (median age 51 years; 74% female; 89% White), there were 97 (2%) cases of incident T2DM over a median follow-up period of 3.8 years between 2010 to 2021. In models adjusted for age, sex, and race, the hazard of incident diabetes was reduced by 44% (95% CI, 15%-63%; P = 0.01) when comparing those with an average daily step count of 10 700 to those with 6000. Similar benefits were seen comparing groups based on average duration of various intensities of activity (eg, lightly active, fairly active, very active). There was no evidence for effect modification by age, sex, BMI, or sedentary time.

   Greater time in any type of physical activity intensity was associated with lower risk of T2DM irrespective of age, sex, BMI, or sedentary time.

    

   more » « less
5. Taxonomic error rates affect interpretations of a national‐scale ground beetle monitoring program at National Ecological Observatory Network

   https://doi.org/10.1002/ecs2.3035  

   Egli, Lauren ; LeVan, Katherine E. ; Work, Timothy T. ( April 2020 , Ecosphere)