4,986 research outputs found
Use of special aids in homes for the aged and chronically ill: United States, May-June 1964
No full textStatistics on the use of wheelchairs, eyeglasses, hearing aids, braces, crutches, artificial limbs, and walkers according to age, sex, mobility status, type of service, type of disease or impairment, and length of stay. Based on data collected during the period May-June 1964.[by Darrel L. Eklund and Alvin Sirrocco].Bibliography: p. 12.19681180
Fill the silence! Basics for modeling hesitation
No full textBetz S, Kosmala L. Fill the silence! Basics for modeling hesitation. In: Rose RL, Eklund R, eds. Proceedings of DiSS 2019. The 9th Workshop on Disfluency in Spontaneous Speech. Budapest: ELTE Faculty of Humanities; 2019: 11-14
Cognitive representation of open and closed skills
No full textVogel L, Schack T. Cognitive representation of open and closed skills. In: Eklund RC, ed. NASPSPA 2015 Conference Abstracts. Journal of Sport & Exercise Psychology. Vol 37. Champaign, IL: HUMAN KINETICS; 2015: 65
Recurrent and persistent low back pain : course and prevention
No full textBackground: Non-specific low back pain (LBP) causes more disability than any other condition in the world. The need to understand the clinical course of LBP, develop effective strategies to manage and if possible prevent future episodes are greater than ever. A fundamental aspect of specifying an episode of pain is to define when it ends, however to date no evidence based definition of recovery from LBP exists.Psychological factors have been shown to affect the prognosis and treatment response for patients with LBP. To what extent psychological and behavioral factors affect chiropractic patients and the outcome of treatment is unclear.Although it seems logical to prevent a condition such as recurrent and persistent LBP few strategies have been shown to be effective. Many patients who seek treatment from chiropractors for recurrent and persistent LBP often get the recommendation to continue treatments after the pain has subsided with the intention to prevent future episodes. Whether this strategy is effective or cost-effective is unknown.Aims: The overall aim of the thesis is to investigate the course of LBP from the perspective of episodes, psychological factors and prevention. The specific objectives were to investigate the: I) Prevalence of four consecutive weeks free from pain and its applicability as a marker of episode. II) Psychological and behavioral characteristics of chiropractic patients and compare them to three other back pain populations from primary and secondary care. III) Short-term predictive properties of the West-Haven Yale Multidimensional Pain Inventory (MPI-S) among patients with recurrent and persistent LBP receiving chiropractic care. IV) Effect and cost-effectiveness of Chiropractic Maintenance Care (MC) in a population with recurrent and persistent LBP.Results: Four consecutive weeks without bothersome LBP may be applied as a marker for a LBP episode in a primary care population. Chiropractic patients are more affected by their pain compared to another primary care population, but less compared to two secondary care populations. Subgrouping patients according to MPI-S could not predict the short term treatment outcome in chiropractic patients. MC is more effective and costlier compared to symptom-guided treatment.Conclusions: Absence of pain as a marker of LBP episodes is a novel and promising concept. Chiropractic patients are more affected by their pain than other patients from primary care. Psychological and behavioral factors could not predict a short-term differentiated treatment response in chiropractic patients. MC resulted in significantly fewer days with bothersome LBP compared to symptom-guided treatment. MC may be considered cost-effective, but further investigations are needed.List of scientific papersI. Eklund A, Jensen I, Lohela-Karlsson M, Leboeuf-yde C, Axen I. Absence of low back pain to demarcate an episode: a prospective multicentre study in primary care. Chiropr Man Therap, 2016, Feb, 18;24:3. https://doi.org/10.1186/s12998-016-0085-z II. Eklund A, Bergström G, Bodin L, Axén I. Psychological and behavioral differences between low back pain populations: a comparative analysis of chiropractic, primary and secondary care patients. BMC Musculoskelet Disord, 2015, Oct, 19;16:306. https://doi.org/10.1186/s12891-015-0753-5 III. Eklund A, Bergström G, Bodin L, Axén I. Do psychological and behavioral factors classified by the West Haven-Yale Multidimensional Pain Inventory (Swedish version) predict the early clinical course of low back pain in patients receiving chiropractic care? BMC Musculoskelet Disord., 2016, Feb, 12;17(1):75. https://doi.org/10.1186/s12891-016-0933-y IV. Eklund A, Jensen I, Lohela-Karlsson M, Hagberg J, Bodin L, Lebouf-Yde C, Kongsted A, Axén I. Prevention of low back pain: effect and cost-effectiveness of preventive manual treatment (Chiropractic Maintenance Care) – a randomized clinical trial. [Manuscript]</p
Open data: The early but not the late neural correlate of auditory awareness reflects lateralized experiences
No full textGENERAL INFORMATION
1. Title of Dataset:
Open data: The early but not the late neural correlate of auditory awareness reflects lateralized experiences.
2. Author Information
A. Principal Investigator Contact Information
Name: Stefan Wiens
Institution: Department of Psychology, Stockholm University, Sweden
Internet: https://www.su.se/profiles/swiens-1.184142
Email: [email protected]
B. Associate or Co-investigator Contact Information
Name: Rasmus Eklund
Institution: Department of Psychology, Stockholm University, Sweden
Internet: https://www.su.se/profiles/raek2031-1.223133
Email: [email protected]
C. Associate or Co-investigator Contact Information
Name: Billy Gerdfeldter
Institution: Department of Psychology, Stockholm University, Sweden
Internet: https://www.su.se/profiles/bige1544-1.403208
Email: [email protected]
3. Date of data collection:
Subjects (N = 28) were tested between 2020-03-04 and 2020-09-18.
4. Geographic location of data collection: Department of Psychology, Stockholm, Sweden
5. Information about funding sources that supported the collection of the data:
Marianne and Marcus Wallenberg (Grant 2019-0102)
SHARING/ACCESS INFORMATION
1. Licenses/restrictions placed on the data: CC BY 4.0
2. Links to publications that cite or use the data: Eklund R., Gerdfeldter B., & Wiens S. (2021). The early but not the late neural correlate of auditory awareness reflects lateralized experiences. Neuropsychologia. https://doi.org/
The study was preregistered:
https://doi.org/10.17605/OSF.IO/PSRJF
3. Links to other publicly accessible locations of the data: N/A
4. Links/relationships to ancillary data sets: N/A
5. Was data derived from another source? No
6. Recommended citation for this dataset: Eklund R., Gerdfeldter B., & Wiens S. (2020). Open data: The early but not the late neural correlate of auditory awareness reflects lateralized experiences. Stockholm: Stockholm University. https://doi.org/10.17045/sthlmuni.13067018
DATA & FILE OVERVIEW
File List:
The files contain the downsampled data in bids format, scripts, and results of main and supplementary analyses of the electroencephalography (EEG) study. Links to the hardware and software are provided under methodological information.
AAN_LRclick_experiment_scripts.zip: contains the Python files to run the experiment
AAN_LRclick_bids_EEG.zip: contains EEG data files for each subject in .eeg format.
AAN_LRclick_behavior_log.zip: contains log files of the EEG session (generated by Python)
AAN_LRclick_EEG_scripts.zip: Python-MNE scripts to process and to analyze the EEG data
AAN_LRclick_results.zip: contains summary data files, figures, and tables that are created by Python-MNE.
METHODOLOGICAL INFORMATION
1. Description of methods used for collection/generation of data:
The auditory stimuli were 4-ms clicks.
The experiment was programmed in Python: https://www.python.org/ and used extra functions from here: https://github.com/stamnosslin/mn
The EEG data were recorded with an Active Two BioSemi system (BioSemi, Amsterdam, Netherlands; www.biosemi.com) and converted to .eeg format.
For more information, see linked publication.
2. Methods for processing the data:
We computed event-related potentials. See linked publication
3. Instrument- or software-specific information needed to interpret the data:
MNE-Python (Gramfort A., et al., 2013): https://mne.tools/stable/index.html#
4. Standards and calibration information, if appropriate:
For information, see linked publication.
5. Environmental/experimental conditions:
For information, see linked publication.
6. Describe any quality-assurance procedures performed on the data:
For information, see linked publication.
7. People involved with sample collection, processing, analysis and/or submission:
- Data collection: Rasmus Eklund with assistance from Billy Gerdfeldter.
- Data processing, analysis, and submission: Rasmus Eklund
DATA-SPECIFIC INFORMATION:
All relevant information can be found in the MNE-Python scripts (in EEG_scripts folder) that process the EEG data. For example, we added notes to explain what different variables mean.
The folder structure needs to be as follows:
AAN_LRclick (main folder)
--->data
--->--->bids (AAN_LRclick_bids_EEG)
--->--->log (AAN_LRclick_behavior_log)
--->MNE (AAN_LRclick_EEG_scripts)
--->results (AAN_LRclick_results)
To run the MNE-Python scripts:
Anaconda was used with MNE-Python 0.22 (see installation at https://mne.tools/stable/index.html# ).
For preprocess.py and analysis.py, the complete scripts should be run (from anaconda prompt)
Open data: Electrophysiological correlates of in-vivo and virtual reality therapy in spider phobia
No full textOpen data: Electrophysiological correlates of in-vivo and virtual reality therapy in spider phobia
1. Title of Dataset:
Open data: Electrophysiological correlates of in-vivo and virtual reality therapy in spider phobia
2. Author Information
Principal Investigator Contact Information
Name: Stefan Wiens
Institution: Department of Psychology, Stockholm University, Sweden
Internet: https://www.su.se/profiles/swiens-1.184142
Email: [email protected]
3. Date of data collection:
Subjects (N = 70 patients and N = 53 controls) were tested between 2015-sep-30 and 2016-jan-15.
4. Geographic location of data collection: Department of Psychology, Stockholm, Sweden
5. Information about funding sources that supported the collection of the data:
Marcus och Amalia Wallenbergs minnesfond (2019-0102)
SHARING/ACCESS INFORMATION
1. Licenses/restrictions placed on the data: CC BY 4.0
2. Links to publications that cite or use the data: Wiens, S., Eklund, R., Szychowska, M., Miloff, A., Cosme, D., Pierzchajlo, S., & Carlbring, P. (2022). Electrophysiological correlates of in vivo and virtual reality exposure therapy in spider phobia. Psychophysiology. ₕₜₜₚₛ://dₒᵢ.ₒᵣg/₁₀.₁₁₁₁/ₚₛᵧₚ.₁₄₁₁₇
3. Links to other publicly accessible locations of the data: N/A
4. Links/relationships to ancillary data sets: N/A
5. Was data derived from another source? No
6. Recommended citation for this dataset: Eklund R., & Wiens S. (2022). Open data: Electrophysiological correlates of in-vivo and virtual reality therapy in spider phobia. Stockholm: Stockholm University. ₕₜₜₚₛ://dₒᵢ.ₒᵣg/₁₀.₁₇₀₄₅/ₛₜₕₗₘᵤₙᵢ.₁₄₈₉₁₆₀₇
DATA & FILE OVERVIEW
The files contain the raw data, scripts, and results of main and supplementary analyses of the electroencephalography (EEG) study reported in the main publication.
VR_spider_LMM.html, VR_spider_LMM_exclude_target_trials.html, VR_spider_analyze_clinical_data: Main results files (also included in R_scripts.zip)
supplement_CritiqueOfLeutgebStudies.pdf: Critique of previous studies
supplement_PilotStudy.pdf: Description of pilot study
data_bids.zip: EEG data in bids format
MNE-python.zip: MNE-python scripts to preprocess EEG data together with preprocessed data
R_scripts.zip: R scripts to analyze the EEG mean amplitudes and behavioral dat
Measurement of the effective B0s→K+K− lifetime
No full textA measurement of the effective lifetime is presented using approximately 37 pb−1 of data collected by LHCb during 2010. This quantity can be used to put constraints on contributions from processes beyond the Standard Model in the meson system and is determined by two complementary approaches as
τKK=1.440±0.096 (stat)±0.008 (syst)±0.003 (model) ps
Endocrine profile in female Olympic athletes : of importance for physical performance and impact on anti-doping testing
No full textEndogenous androgens and insulin-like growth factor-I (IGF-I) are anabolic hormones that may contribute to increased muscle mass and possibly enhanced athletic performance. Furthermore, the second to fourth digit ratio (2D:4D ratio), suggested as an indirect measurement of prenatal androgen exposure, has been related to athletic ability. However, there is limited knowledge on the role of endogenous anabolic hormones for body composition and physical performance in female Olympic athletes. Moreover, the 2D:4D ratio has not been studied in relation to serum and urinary androgens and athletic performance in female elite athletes. In men, there are known genetic variations in genes coding for androgen metabolizing enzymes that affect the urinary androgen profile evaluated in doping tests. For women, less is known concerning the impact of genetic variations on the urinary androgens. In addition, the effects of hormonal contraceptive use on urinary steroid levels need to be investigated further.The aim of this thesis was to evaluate the anabolic hormonal profile and the 2D:4D ratio in female Olympic athletes compared to untrained controls and in relation to body composition and physical performance. In addition, we aimed to investigate the relationship between the 2D:4D ratio and serum and urinary androgens. Furthermore, we studied the impact of hormonal contraceptives and genetic variations on the urinary steroid profile in female elite athletes and compared the urinary steroid between female athletes and controls.In this cross-sectional study, including female Olympic athletes (n=106) and age- and BMI matched untrained controls (n=117), we found significantly higher precursor androgens dehydroepiandrosterone (DHEA), androstenediol (5-DIOL) as well as IGF-I, age-adjusted IGF-I and insulin-like growth factor binding protein-1 (IGFBP-1) in the athletes compared to controls. The 2D:4D ratio was significantly lower in the athletes indicating higher exposure to androgens during fetal life. The precursor androgens, IGF-I and IGFBP-1 were related to increased muscle mass and lower fat percentage. In the athletes, precursor androgens, dihydrotestosterone (DHT), IGF-I, IGFBP-1 and the 2D:4D ratio were associated with better performance in physical fitness tests. In addition, the 2D:4D ratio was associated with urinary androgens but not serum androgens. The controls excreted significantly higher concentrations of urinary androgen metabolites compared to the athletes, however serum androgens were comparable or higher among the athletes. For the athletes, training hours per week were negatively associated with some urinary androgens. Moreover, we found that genetic variations in UGT2B17 and CYP17A1 and hormonal contraceptive use had a significant impact on the urinary steroid profile in women.In conclusion, endogenous anabolic hormones are associated with an anabolic body composition and enhanced physical performance in female Olympic athletes. Prenatal androgen exposure may also be of importance for athletic capacity in female Olympic athletes and possibly reflect androgen metabolism, since the 2D:4D ratio was associated with urinary androgen metabolite concentrations. Both genetic variations in UGT2B17, CYP17A1 and hormonal contraceptive use affects the urinary androgen levels in women. Our finding of higher urinary androgen concentrations in controls compared to the athletes and the negative association between training hours and urinary androgens is hypothetically due to increased androgen excretion via alternative excretion routes in female athletes.List of scientific papersI. Eklund E, Berglund B, Labrie F, Carlström K, Ekström L, Hirschberg AL. Serum androgen profile and physical performance in women Olympic athletes. British journal of sports medicine. 2017;51(17):1301-8. https://doi.org/10.1136/bjsports-2017-097582 II. Eklund E, Ekström L, Thörngren J-O, Ericsson M, Berglund B, Hirschberg AL. Digit Ratio (2D:4D) and Physical Performance in Female Olympic Athletes. Frontiers in Endocrinology. 2020;11(292):1-8. https://doi.org/10.3389/fendo.2020.00292 III. Eklund E, Hellberg A, Berglund B, Brismar K, Hirschberg AL. IGF-I and IGFBP-1 in relation to body composition and physical performance in female Olympic athletes. [Submitted]IV. Schulze JJ*, Mullen JE*, Berglund Lindgren E, Ericsson M, Ekström L, Hirschberg AL. The impact of genetics and hormonal contraceptives on the steroid profile in female athletes. Frontiers in Endocrinoly. 2014;5(50):1-6. *Shared first author. https://doi.org/10.3389/fendo.2014.00050 V. Eklund E, Andersson A, Ekström L, Hirschberg AL. Urinary steroid profile in elite female athletes in relation to serum androgens and in comparison with untrained controls. [Submitted]</p
Screening of women with aesthetic prostheses in dedicated sessions of a population-based breast cancer screening programme
No full textBackground: Women with aesthetic prostheses must be included in the target population of mammography screening programmes. Breast implants are radiopaque and partially obscure the breast tissue. This can be avoided with the use of the Eklund technique, which causes an increased radiation exposure. In this study, augmented women undergoing a dedicated protocol within a population-based screening programme were compared according to selected indicators with the standard screening population. Essential dosimetric parameters and their time trend were also assessed. Materials and methods: The study was conducted in a screening centre in Milan in the years 2009–2016. The screening protocol for women with breast implants included a double-read mammography with the Eklund views, ultrasound and clinical breast examination. Results: A total of 28,794 women were enrolled, including 588 (2%) women with breast implants and 28,206 (98%) undergoing the standard screening protocol. The invasive assessment rate was 9.0‰ for women with breast implants vs. 15‰ in the standard cohort. The surgical referral rate was 2.2% vs. 0.9%. The detection rate was similar in the two groups (4.0 and 4.5‰, respectively). There were significant differences in the average glandular dose according to the mammography equipment. The use of the Eklund views increased over time. Conclusions: Screening of augmented women according to a specific protocol in the contexts of population-based programmes is feasible. Observed differences in screening indicators relative to the standard screening population require further research. The increasing use of Eklund views probably results from quality assurance measures associated with screening programmes
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