This study examined the factor structure of the Self-Compassion Scale (SCS) using secondary data drawn from 20 samples (N = 11,685)-7 English and 13 non-English-including 10 community, 6 student, 1 ...mixed community/student, 1 meditator, and 2 clinical samples. Self-compassion is theorized to represent a system with 6 constituent components: self-kindness, common humanity, mindfulness and reduced self-judgment, isolation and overidentification. There has been controversy as to whether a total score on the SCS or if separate scores representing compassionate versus uncompassionate self-responding should be used. The current study examined the factor structure of the SCS using confirmatory factor analyses (CFA) and Exploratory Structural Equation Modeling (ESEM) to examine 5 distinct models: 1-factor, 2-factor correlated, 6-factor correlated, single-bifactor (1 general self-compassion factor and 6 group factors), and 2-bifactor models (2 correlated general factors each with 3 group factors representing compassionate or uncompassionate self-responding). Results indicated that a 1- and 2-factor solution to the SCS had inadequate fit in every sample examined using both CFA and ESEM, whereas fit was excellent using ESEM for the 6-factor correlated, single-bifactor and correlated 2-bifactor models. However, factor loadings for the correlated 2-bifactor models indicated that 2 separate factors were not well specified. A general factor explained 95% of the reliable item variance in the single-bifactor model. Results support use of the SCS to examine 6 subscale scores (representing the constituent components of self-compassion) or a total score (representing overall self-compassion), but not separate scores representing compassionate and uncompassionate self-responding.
Public Significance Statement
This study examined the factor structure of the Self-Compassion Scale (SCS) in 20 diverse samples (N = 11,685), and excellent fit was found in every sample for an Exploratory Structural Equation Modeling (ESEM) single-bifactor model (with 95% of item variance explained by a general factor) and an ESEM 6-factor correlated model. Results support use of a total SCS score or 6 subscale scores, but not 2 separate scores representing compassionate and uncompassionate self-responding.
Difficulties in emotion regulation are associated with development and maintenance of psychopathology. Typically, features of emotion regulation are assessed with self-report questionnaires. Heart ...rate variability (HRV) is an objective measure proposed as an index of emotional regulation capacity. A limited number of studies have shown that self-reported difficulties in emotion regulation are associated with HRV. However, results from prior studies are inconclusive, and an ecological validation of the association has not yet been tested. Therefore, further exploration of the relation between self-report questionnaires and psychophysiological measures of emotional regulation is needed. The present study investigated the contribution of self-reported emotion regulation difficulties on HRV in a student sample. We expected higher scores on emotion regulation difficulties to be associated with lower vagus-mediated HRV (vmHRV). Sixty-three participants filled out the Difficulties in Emotion Regulation Scale and their resting HRV was assessed. In addition, a subsample of participants provided ambulatory 24-h HRV data, in order to ecologically validate the resting data. Correlation analyses indicated that self-reported difficulties in emotion regulation was negatively associated with vmHRV in both resting HRV and 24-h HRV. Specifically, when exploring the contribution of the different facets of emotion dysregulation, the inability to accept negative emotions showed the strongest association with HRV. The results are discussed and need for future research is described.
The early life factors of birthweight, child weight, height, body mass index (BMI) and pubertal timing are associated with risks of breast cancer. However, the predictive value of these factors in ...relation to breast cancer is largely unknown. Therefore, using a machine learning approach, we examined whether birthweight, childhood weights, heights, BMIs, and pubertal timing individually and in combination were predictive of breast cancer.
We used information on birthweight, childhood height and weight, and pubertal timing assessed by the onset of the growth spurt (OGS) from 164,216 girls born 1930-1996 from the Copenhagen School Health Records Register. Of these, 10,002 women were diagnosed with breast cancer during 1977-2019 according to a nationwide breast cancer database. We developed a feed-forward neural network, which was trained and tested on early life body size measures individually and in various combinations. Evaluation metrics were examined to identify the best performing model.
The highest area under the receiver operating curve (AUC) was achieved in a model that included birthweight, childhood heights, weights and age at OGS (AUC = 0.600). A model based on childhood heights and weights had a comparable AUC value (AUC = 0.598), whereas a model including only childhood heights had the lowest AUC value (AUC = 0.572). The sensitivity of the models ranged from 0.698 to 0.760 while the precision ranged from 0.071 to 0.076.
We found that the best performing network was based on birthweight, childhood weights, heights and age at OGS as the input features. Nonetheless, this performance was only slightly better than the model including childhood heights and weights. Further, although the performance of our networks was relatively low, it was similar to those from previous studies including well-established risk factors. As such, our results suggest that childhood body size may add additional value to breast cancer prediction models.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
This study examined the factor structure of the Self-Compassion Scale (SCS) using secondary data drawn from 20 samples (N = 11,685)—7 English and 13 non-English—including 10 community, 6 student, 1 ...mixed community/student, 1 meditator, and 2 clinical samples. Self-compassion is theorized to represent a system with 6 constituent components: self-kindness, common humanity, mindfulness and reduced self-judgment, isolation and overidentification. There has been controversy as to whether a total score on the SCS or if separate scores representing compassionate versus uncompassionate self-responding should be used. The current study examined the factor structure of the SCS using confirmatory factor analyses (CFA) and Exploratory Structural Equation Modeling (ESEM) to examine 5 distinct models: 1-factor, 2-factor correlated, 6-factor correlated, single-bifactor (1 general self-compassion factor and 6 group factors), and 2-bifactor models (2 correlated general factors each with 3 group factors representing compassionate or uncompassionate self-responding). Results indicated that a 1- and 2-factor solution to the SCS had inadequate fit in every sample examined using both CFA and ESEM, whereas fit was excellent using ESEM for the 6-factor correlated, single-bifactor and correlated 2-bifactor models. However, factor loadings for the correlated 2-bifactor models indicated that 2 separate factors were not well specified. A general factor explained 95% of the reliable item variance in the single-bifactor model. Results support use of the SCS to examine 6 subscale scores (representing the constituent components of self-compassion) or a total score (representing overall self-compassion), but not separate scores representing compassionate and uncompassionate self-responding.
NorCPM1 and its contribution to CMIP6 DCPP Bethke, Ingo; Wang, Yiguo; Counillon, François ...
Geoscientific Model Development,
11/2021, Letnik:
14, Številka:
11
Journal Article
Recenzirano
Odprti dostop
The Norwegian Climate Prediction Model version 1 (NorCPM1) is a new research tool for performing climate reanalyses and seasonal-to-decadal climate predictions. It combines the Norwegian Earth System ...Model version 1 (NorESM1) - which features interactive aerosol-cloud schemes and an isopycnic-coordinate ocean component with biogeochemistry - with anomaly assimilation of sea surface temperature (SST) and T/S-profile observations using the ensemble Kalman filter (EnKF).
ABSTRACT
Lake sediment records archive the Quaternary environmental and climatic history in northern high latitudes. Because of their spatial distribution, age range, time resolution, age control, ...and high sensitivity to paleoenvironmental conditions, lake records contribute to evaluating regional to hemispheric‐scale climate change. Here, we compare the characteristics of lake sediments and their qualities for paleoenvironmental and paleoclimatic reconstructions with those of other archives in northern high latitudes, and we outline the current state of research by introducing a series of regional case studies on 31 lakes as part of this special issue. The compilation shows that the coring site selection and interpretation can strongly benefit from bathymetric and seismic or hydro‐acoustic surveys. New coring techniques have become available making it possible to expand the records in length and time. Analytical work on the cores has particularly benefited from improved non‐destructive logging and scanning techniques, from the development of new proxies, and from advancements in quantitative climate reconstructions. Progress was also made in further developments of dating techniques; however, the recognition of additional isochronal events, e.g., via tephrochronology or paleomagnetic event stratigraphy, is needed to derive a better understanding of leads and lags in climate signal propagation throughout the northern high latitudes.
A randomized, placebo-controlled, double-blind clinical trial was conducted on 287 men age 45 to 68 years. All the men were hypertensive, on sodium-restricted diets, and had stopped their ...antihypertensive medication. The men were divided into two groups. One group received potassium supplements and the other group received placebos. Seventy-nine participants in each group required reinstitution of hypertensive medication. No significant difference in blood pressure was found between the two groups
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