Explore the vast range of titles available.

Background Low handgrip strength (HGS) is a measure of poor skeletal muscle performance and a marker of ill health and frailty. Muscle quality (MQ) is a measure of muscle strength relative to muscle mass. We aimed to develop normative data for HGS and MQ, report age‐related prevalence of low HGS and MQ, and determine the relationship with age, anthropometry, and body composition for women in Australia. Methods This cross‐sectional analysis included data from 792 women (ages 28–95 years) assessed by the Geelong Osteoporosis Study. Duplicate measures of HGS were performed for each hand with a dynamometer (Jamar) and the mean of maximum values used for analyses. Dual energy X‐ray absorptiometry‐derived lean mass for the arms was used to calculate MQ as HGS/lean mass (kg/kg). Body mass index (BMI) was categorized as normal (BMI < 25.0 kg/m2), overweight (25.0–29.9 kg/m2), and obese (>30.0 kg/m2). Fat mass index (FMI) was calculated as whole body fat/height2 (kg/m2) and appendicular lean mass index (ALMI) as lean mass of arms and legs/height2 (kg/m2). Results Mean (±SD) of HGS values for normal BMI, overweight, and obese groups were 25 (±7), 24 (±7), and 24 (±7) kg, P = 0.09, and for MQ, 12 (±3), 11 (±3), and 10 (±3) kg/kg, P < 0.001. Our data indicated a quadratic relationship between age and HGS or MQ. Mean HGS and MQ remained stable until the fifth age decade then declined steadily with increasing age; therefore, we used data for women (n = 283) aged 28–49 years as the young adult reference group, with mean (SD) values for HGS 28 (±6) kg and MQ 12 (±3) kg/kg. The prevalence of low (T‐score < −2) HGS and MQ for women 80 years and older was 52.2% and 39.6%, respectively. In multivariable models, age‐adjusted HGS was associated with FMI (B = −0.13, P = 0.004) and ALMI (1.03, <0.001) while age‐adjusted MQ was associated with BMI (−0.15, <0.001) but not with FMI. In a sensitivity analysis, the same pattern remained after the removal of 129 women who reported hand and/or arm pain. Conclusions Mean HGS and MQ declined with advancing age in older women. Our data suggest that while mean HGS increased with appendicular lean mass and decreased with body fat mass, there was no association with BMI. By contrast, MQ decreased with increasing BMI, but not with increasing adiposity.

Objectives: The purpose of this study was to evaluate the diagnostic accuracy of glaucoma by establishing normative data on retinal nerve fiber layer (RNFL) thickness, specifically for healthy Koreans, using Huvitz spectral-domain optical coherence tomography (OCT). This study also aimed to compare the obtained RNFL thickness data with normative values provided by the Cirrus OCT system to identify any device-specific differences that could impact glaucoma diagnosis. Methods: This prospective observational study included 148 healthy participants aged 20–69 years at Gangnam Severance Hospital. Participants underwent comprehensive ophthalmologic evaluations, including RNFL thickness measurements using Huvitz OCT, which were compared with existing normative Cirrus OCT data. RNFL thickness was analyzed by quadrant (superior, inferior, nasal, and temporal) and clock-hour sectors. Statistical analysis included one-way analysis of variance (ANOVA) for group comparisons and linear regression to assess age-related changes. Results: The average RNFL thickness was 91.13 ± 13 μm, with the thickest measurements in the superior quadrant (111.85 ± 18.53 μm) and the thinnest in the nasal quadrant (68.35 ± 20.03 μm). Significant age-related thinning was observed across all quadrants, particularly the superior and inferior quadrants. Comparison with the Cirrus OCT system revealed significant differences, with the Huvitz OCT results showing thinner RNFL in the superior and inferior quadrants. Conclusions: This study established normative RNFL thickness data in healthy Koreans using Huvitz OCT, providing essential reference data for clinical glaucoma diagnosis. The differences between Huvitz and Cirrus OCT systems underscore the need for device- and population-specific normative data to improve diagnostic accuracy in glaucoma management.

Purpose To provide up-to-date and detailed normative data based on a large-scale sample, increasing diagnostic validity by reference to narrow age groups as previous normative values were based upon smaller sample sizes—especially in the group of older subjects. Method Data were obtained from 9139 healthy subjects (4928 females aged 5–96 years and 4211 males aged 5–91 years). The standard “Sniffin’ Sticks” test was applied, comprising threshold (T), discrimination (D) and identification (I) subtests, and yielding a TDI sum score. Results Hyposmia was established at a TDI score of less than 30.75. Age-related changes were found in each domain, most pronounced for thresholds. Individuals aged 20–30 years performed best, whereas children below the age of 10 and adults above the age of 71 scored only half as well. Sex-related differences were in favor of women. Conclusions Data provide guidance for assessing individual olfactory performance in relation to specific age groups. Significant gender and age effects were observed, with a most pronounced increase of olfactory test scores between age 5 through 20 years and a dramatic decrease at the age of 60 through 71 years.

Understanding how and when cognitive change occurs over the life span is a prerequisite for understanding normal and abnormal development and aging. Most studies of cognitive change are constrained, however, in their ability to detect subtle, but theoretically informative life-span changes, as they rely on either comparing broad age groups or sparse sampling across the age range. Here, we present convergent evidence from 48,537 online participants and a comprehensive analysis of normative data from standardized IQ and memory tests. Our results reveal considerable heterogeneity in when cognitive abilities peak: Some abilities peak and begin to decline around high school graduation; some abilities plateau in early adulthood, beginning to decline in subjects' 30s; and still others do not peak until subjects reach their 40s or later. These findings motivate a nuanced theory of maturation and age-related decline, in which multiple, dissociable factors differentially affect different domains of cognition.

The Montreal Cognitive Assessment (MoCA) is a rapid screening battery, also including subtests to assess frontal functions such as set-shifting, abstraction and cognitive flexibility. MoCA seems to be useful to identify non-amnestic mild cognitive impairment (MCI) and subcortical dementia; it has high sensitivity and specificity in distinguishing MCI from mild Alzheimer’s Disease. Previous studies revealed that certain items of MoCA may be culturally biased and highlighted the need for population-based norms for the MoCA. The aim of present study was to collect normative values in a sample of Italian healthy subjects. Four hundred and fifteen Italian healthy subjects (252 women and 163 men) of different ages (age range 21–95 years) and educational level (from primary to university) underwent MoCA and Mini Mental State Examination (MMSE). Multiple linear regression analysis revealed that age and education significantly influenced performance on MoCA. No significant effect of gender was found. From the derived linear equation, a correction grid for MoCA raw scores was built. Inferential cut-off score, estimated using a non-parametric technique, is 15.5 and equivalent scores were computed. Correlation analysis showed a significant but weak correlation between MoCA adjusted scores with MMSE adjusted scores ( r  = 0.43, p  < 0.001). The present study provided normative data for the MoCA in an Italian population useful for both clinical and research purposes.

Background The objectives of the study were to generate normative data for the Oslo Social Support Scale (OSSS-3) for different age groups for men and women and to further investigate the factor structure in the general population. Methods Nationally representative face-to face household surveys were conducted in Germany in 2008 ( n  = 2524). Results Normative data for the Oslo Social Support Scale were generated for men and women (52.3% female) and different age levels (mean age (SD) of 48.9 (18.3) years). Men had mean scores comparable to women (10.1 [SD = 2.3] vs. 10.2 [SD = 2.2]). The EFA resulted in a clear one-factor solution for the OSSS-3. Conclusions The normative data provide a framework for the interpretation and comparisons of social support with other populations.

The existence of crime-related racial stereotypes has been well documented. People tend to associate certain groups with specific crimes, which, in turn, impacts criminal-sentencing decisions through the perceptions of crime severity. This evidence calls for regular updating of rating norms combining these variables. With this objective, and given that most of the normative studies provide norms for a small number of crimes and/or with an insufficient number of participants, a new norming study was conducted. Furthermore, norms from European countries are absent, and the existing ones (mostly with USA-based populations) do not simultaneously examine crime stereotypicality and crime severity. The Crime Stereotypicality and Severity Database (CriSSD) presents normative ratings for a set of 63 crimes on three dimensions: White stereotypicality, Black stereotypicality, and crime severity. The crimes were selected according to a comprehensive procedure. A total of 340 Portuguese participants (72.6% female; Mage = 26.86, SD = 7.65) answered an online survey. Each crime was evaluated by a range of 46–60 participants. Data allowed us to identify a crime typology with three clusters. We present descriptive data (means, standard deviations, and 95% confidence intervals) for each crime. Crime evaluations were associated with sociodemographic characteristics. Additionally, this study gives input regarding the understudied link between crime stereotypes and crime severity, showing that crime severity is predicted by ratings of both Black and White stereotypicality. The CriSSD (available at osf.io/gkbrm) provides a valuable resource for researchers in the field of social psychology to conduct studies with controlled materials on potential disparities in criminal-sentencing decisions.

The standing broad jump (SBJ) is a valid, reliable and feasible field-based test, which can evaluate explosive strength of the lower limbs and physical fitness. This study aimed to provide normative data for the SBJ for male and female children and adolescents and describe differences in performance between age groups and genders. A total number of 2140 children and adolescents, sampled in seven European nations have been included for analysis. The SBJ was performed to derive percentile values for gender and each age group. In general, males have greater jumping performance compared to females. Data demonstrate a linear increase in the jumping distance for both males and females until adolescence. However, such increase is evident in males up to 16-17 years old, whereas in females a plateau value is met at 12-13 years old, with a subsequent decrease in the jumping performance. No differences were present in jumping performance between male and female children, however differences between male and female adolescents were evinced. The study has provided percentile values useful to monitor the physical fitness status of children and adolescents.

BackgroundThe availability of fine-grained, culture-specific psychometric outcomes can favor the interpretation of scores of the Montreal Cognitive Assessment (MoCA), the most frequently used instrument to screen for mild cognitive dysfunctions in both instrumental and non-instrumental domains. This study thus aimed at providing: (i) updated, region-specific norms for the Italian MoCA, by also (ii) comparing them to pre-existing ones with higher geographical coverage; (iii) information on sensitivity and discriminative capability at the item level.MethodsFive hundred and seventy nine healthy individuals from Northern Italy (208 males, 371 females; age: 63.4 ± 15, 21–96; education: 11.3 ± 4.6, 1–25) were administered the MoCA. Item Response Theory (IRT) was adopted to assess item difficulty and discrimination. Normative values were derived by means of the Equivalent Scores (ESs) method, applied to the MoCA and its sub-scales. Average ESs were also computed. Agreement with previous ESs classification was assessed via Cohen’s k.ResultsAge and education significantly predicted all MoCA measures except for Orientation, which was related to age only. No sex differences were detected when tested along with age and education. Substantial disagreements with previous ESs classifications were detected. Several items proved to be scarcely sensitive, especially the place item from Orientation and the letter detection task. Memory items showed high discriminative capability, along with certain items assessing executive functions and orientation.DiscussionItem-level information herewith provided for the Italian MoCA can help interpret its scores by Italian practitioners. Italian practitioners should consider an adaptive use of region-specific norms for the MoCA.

Background There has been a marked tendency for researchers, clinicians, and policy makers to shift their focus from risk to resilience. This should be assessed by comparing the outcome to a context specific reference group. The objectives of the study were to generate normative data for the BRCS for different age groups for men and women and to further investigate the construct validity and factor structure in a general population. Methods Nationally representative face-to face household surveys were conducted in Germany in 2013 ( n  = 2508). Results Normative data for the BRCS were generated for men and women (53.2% female) and different age levels (mean age (SD) of 49.7 (18.0) years). Men had significantly higher mean scores compared with women (14.9 [SD = 3.2] vs. 14.6 [SD = 3.1]). The results of the EFA and CFA clearly indicate a unidimensional solution with one factor. Furthermore, the invariance of the one-factor model was tested for the whole sample across gender and six age groups. Conclusions The normative data provide a framework for the interpretation and comparisons of resilience with other populations.