While it is very common for Congressional researchers to use interest group ratings as measures of legislator policy preferences, this paper argues that the manner in which such ratings are calculated implies that they may poorly approximate the underlying legislator preferences on which they are based. In light of this, the paper develops a technique designed to adjust interest group ratings so that they more closely correlate with legislator preferences. It argues based on Monte Carlo simulations that the technique produces adjusted ratings that improve on unadjusted ratings, and it applies the adjustment technique to historical ratings published by the Americans for Democratic Action.

BackgroundA consensus on the definition of prolonged mechanical ventilation (PMV) for children does not exist. There is still lack of published work presenting the epidemiology, risk factors and outcomes at different cut-points for PMV patients. These are important for planning the goals of treatment and counseling of the prognosis for patient families. We aimed to determine the incidence, baseline characteristics, risk factors and outcomes of PMV in pediatric patients at various cut-points (>14, >21 or >30days).MethodsA retrospective cohort study among children  14 days in the PICU of King Chulalongkorn Memorial Hospital was conducted. The primary outcomes were incidence of PMV with various cut-points. We stratified patients into three groups (Group 1; PMV > 14–21, Group 2; >21–30, Group 3; >30 days) for evaluating the baseline characteristics, risk factors, and outcomes of PMV (extubation success, tracheostomy status and death). Factors associated with PMV and deaths were analyzed using univariate and multivariate logistic regression.ResultsFrom January 2018 to August 2022, 1,050 patients were screened. Of these, 114 patients were enrolled. The incidence of PMV > 14, >21 and >30 days were 10.9%, 7.3% and 5.0% respectively. Extubation success was significantly lower in Group 3 than in Groups 1 & 2 (15.4% vs. 62.2% & 56.0%, P 

Disposable income decile group boundaries by number of households (since 1976)

an = 717.bn = 732.

Note: The second model, M2, consists of only SVM model for the low-CA125 group, and no additional models for the high-CA125 group. The 4 marker set used in model 2 includes 16∶0, 18∶1 PPE, 15∶0 LPC, 18∶2 LPA, and 18∶0, 22∶6 PPE.

This table contains data on life style of the Dutch population in private households. These data can be grouped by several personal characteristics.

Data available from: 2014.

Status of the data: final.

Changes by April 3, 2025: Data about 2024 have been added. Figures taking a fall course or fall training among people aged 65 and over were added and data about high risk sexual activity in the previous twelve months among people aged 16 and over were added.

Changes by September 24, 2024: The nutrition score is calculated based on various components. For the component score for snacks, for children aged 1 to 9 years people, the cut-off point of persons aged 9 years and older were incorrectly used instead of the age-specific cut-off points. This has been adjusted. As a result, the figures for the total food score (high, medium, low and average nutrition score) changed slightly.

When will new data be published? Data on reporting year 2025 will be published in the second quarter of 2026

*: Using t'-test when equal variances were not assumed.Abbreviations: M: men; W: women; SBP: systolic blood pressure; DBP: diastolic blood pressure; BMI: body mass index; FPG: fasting plasma glucose; TC: total cholesterol; TG: triglyceride; HDL-C: high-density lipoprotein-cholesterol; LDL-C: low-density lipoprotein-cholesterol; SD: standard deviation.The comparison of traditional risk factors between genders (mean ± SD).

*The gender equal group is centred around a ratio of 1 (equivalent to a 50–50 proportion of women and men).

Valid second votes (Representative Federal election statistics): Federal states, cut-off date, parties, age groups

Beneficiaries of Inclusion Assistance: Germany, cut-off date, sex, age groups, types of benefits

Percentage of valid votes (Representative European Election Statistics): Germany, cut-off date, parties, gender, age groups

Reduced moderate-to-vigorous physical activity (MVPA) and increased sedentary behavior (SB) are common following stroke, which can limit stroke recovery and contribute to greater cognitive decline. Hence, the MVPA and SB of adults with stroke should be measured concurrently using objective methods. One currently available method for objectively measuring MVPA and SB is the MotionWatch8© (MW8). However, adults with stroke can have significant mobility restrictions (depending on stroke severity) and thus it is important to determine separate MVPA and SB cut-points for adults with stroke, as well as validate separate cut-points: (1) when the MW8 is worn on the stroke affected side compared to the non-affected side; and (2) for adults with mild stroke versus adults with moderate-to-severe stroke. In the current study, we concurrently measured MW8 actigraphy (worn on both the stroke affected side and the non-affected side) and indirect calorimetry during 10 different activities of daily living for 43 adults with stroke (aged 55–87 years). Using intra-class correlations (ICC), we first investigated the agreement of the MW8 when placed on the affected side as compared to the non-affected side for: (1) all participants irrespective of stroke severity; (2) participants with mild stroke, classified as a Fugl Meyer motor score of ≥79/100; and (3) participants with moderate-to-severe stroke (i.e., Fugl Meyer < 79/100). We then determined cut-points for all participants—as well as separate cut-points based on stroke severity—on both the stroke affected side and non-affected side for SB and MVPA using receiver operating characteristic curves. The results of our analyses indicate that the agreement in MW8 output between the stroke affected and non-affected sides was moderate across all participants (ICC = 0.67), as well as for each sub-group (mild stroke: ICC = 0.64; moderate-to-severe stroke: ICC = 0.77). Additionally, the results of our cut-point analyses support using different cut-points for different levels of stroke severity and also for the stroke affected side. We determined the following cut-points: (1) for the affected side, adults with mild stroke have cut-points of SB ≤134 counts per minute (CPM) and MVPA ≥704 CPM, while adults with moderate-to-severe stroke have cut-points of SB ≤281 CPM and MVPA ≥468 CPM; and (2) the non-affected side, adults with mild stroke have cut-points of SB ≤162 CPM and MVPA ≥661 CPM, while adults with moderate-to-severe stroke have cut-points of SB ≤281 CPM and MVPA ≥738 CPM. Hence, these data provide a new measure for concurrently examining the dynamic relationships between MVPA and SB among adults with stroke.

This study aimed to replicate findings on sensitivity groups, their proportions, and cut-off scores in a South Korean population. Uniquely, it extended the age range to include participants up to 80 years old, representing the first attempt to validate these constructs across such a broad age spectrum in this cultural context. A total of 1773 South Koreans in their 20s to 80s participated in the Highly Sensitive Person Scale (HSPS) questionnaire survey, conducted to establish a cut-off score to be used more conveniently in real-world scenarios. The results showed that 22.0%, 45.3%, and 32.7% belonged to the low-, medium-, and high-sensitivity groups, respectively. The average item scores of 3.81 and 4.73 served as cut-off points distinguishing low- from medium-sensitivity and medium- from high-sensitivity groups, respectively. This study represents applied research on the use of HSPS. Research on HSPS cut-off scores considering cultural or demographic characteristics is still in its early stages, and accumulating data through various surveys is key for in-depth comparative analyses.

1)Prevalence CIN2+ 23.8% (95% CI: 19.2–28.4).2)3)Chi square = 91.3, p