The Assessment of Pitch Discrimination Ability in Young Children

1977 ◽  
Vol 42 (2) ◽  
pp. 279-286 ◽  
Author(s):  
Moya L. Andrews ◽  
Shelley S. Madeira
Keyword(s):  
Motor Response ◽  
Age Groups ◽  
Spatial Relations ◽  
Pitch Discrimination ◽  
Training Procedure ◽  
Normal Children ◽  
Discrimination Ability ◽  
Simple Motor ◽  
First Results ◽  
Age Range

This study tested the hypothesis that some tasks used in assessing pitch discrimination ability may instead be assessing children’s ability to deal with relational language. Five tasks were given to 36 normal children who were equally divided into three age groups, six to six and one-half years, seven to seven and one-half years, and eight to eight and one-half years of age. Task 1 involved a training procedure to assess the children’s ability to hear the differences in the pitch of two tones, which were an octave apart. A simple motor response was required. Task 2 assessed the children’s ability to label these tones as high or low. Task 3 assessed their ability to compare two tones and label the second as higher or lower than the first. Task 4 examined their ability to label as high or low the position of a man on a ladder. Task 5 examined their ability to compare the positions of two men on two ladders and say whether the second man was higher or lower than the first. Results indicated that children who make pitch discriminations as demonstrated by nearly perfect scores on Task 1 often fail to demonstrate those discriminations on tasks requiring relational language. A comparison of Tasks 2 and 3 to Tasks 4 and 5 suggests that children in the age range studied are less proficient in applying high-low and higher-lower to pitch than to spatial relations.

ELECTROCARDIOGRAPHIC PATTERNS OF NORMAL CHILDREN FROM BIRTH TO FIVE YEARS OF AGE

PEDIATRICS ◽  
1951 ◽  
Vol 8 (3) ◽  
pp. 349-361
Author(s):  
GERARD GROS ◽  
ARMOND GORDON ◽  
ROBERT MILLER
Keyword(s):  
Left Ventricle ◽  
Transition Zone ◽  
Age Groups ◽  
Later Life ◽  
Distinct Pattern ◽  
Age Group ◽  
S Wave ◽  
Normal Children ◽  
Age Range ◽  
Q Wave

The ECGs of 104 normal children from a few hours old to 5 years of age were studied. These ECGs consisted of the standard limb leads, the aV limb leads and six precordial leads: V4R, V1, V2, V4, V5 and V6. While the number of cases in each group are small, the following conclusions are suggested by this study: 1. ECGs of the newborn infant present important variations from those seen in later life. This is especially true during the first week of life. Thereafter the contour evolves [SEE FIG. 2 IN SOURCE PDF] in a definite manner until the adult-like pattern is reached. 2. The vertical and semivertical "electric" positions were the most frequently encountered in this age group. 3. P-waves present a rather permanent pattern in this age range: a. is usually upright in lead 1 and 2, aVF, V4, V5 and V6. b. is usually inverted in lead 2 and aVR. c. is either upright, inverted or diphasic in lead 3, aVL, V4R, V1 and V2. 4. The P-R interval varies from 0.10 sec. minimum to 0.16 sec. maximum with the average being 0.12 sec. in this age range. It tends to become greater in the older age groups. 5. QRS duration is shorter in the younger age groups and increases slowly with age. 6. Polyphasic, M-shaped or slurred QRS complexes are not uncommon in the ECGs of normal children in this age range. 7. A Q wave is frequently absent in lead 1 and in all chest leads during the first week of life. Thereafter up to 5 years of age the pattern of the Q wave is as follows: a. Q is generally absent in lead 1, V4R, V1, V2 and V4. b. Q is generally present in lead 3, V4R, aVF, V5 and V6. 8. There is a distinct pattern of right ventricular dominance in leads from the sternum and to its right at birth. This pattern gradually undergoes involution, probably related to normal physiologic development, until the left ventricle becomes dominant. Thus the evolution of the S-wave parallels a gradual involution of the R-wave in right precordial leads and probably also in aVR. This dominance of the left ventricle over the entire precordium is usual by about 3 years, but may be delayed normally until 5 years of age. 9. The T-wave is upright or diphasic in V4R, V1, and V2 and inverted in V5 and V6 for the first 24 hours of life; it gradually alters so that by the fourth day it is inverted in V4R, V1 and V2 and upright in V5 and V6 and thereafter. 10. The transition zone of QRS varies from one age group to another and tends in some ages to be broad. In some instances no real transition zone can be determined.

scholarly journals Exploring Why Adult Mexican Males Do Not Get Vaccinated: Implications for COVID-19 Preventive Actions

2020 ◽  
Vol 42 (4) ◽  
pp. 515-527
Author(s):  
V. Nelly Salgado de Snyder ◽  
Deliana Garcia ◽  
Roxana Pineda ◽  
Jessica Calderon ◽  
Dania Diaz ◽  
...  
Keyword(s):  
Preventive Medicine ◽  
Age Groups ◽  
Adult Males ◽  
Cross Sectional ◽  
Administrative Services ◽  
Minority Males ◽  
Socially Disadvantaged ◽  
Preventive Actions ◽  
Socially Excluded ◽  
Age Range

Vaccination is the single most important preventive medicine action worldwide. However, there are inequalities in the procurement of vaccines particularly among US ethnic and racial minority males when compared to the rest of the US population. This study explored the reasons given by adult Mexican-origin males residing in Texas, for obtaining or not, immunizations. This was a cross-sectional, exploratory study with a sample of convenience of 401 adult males (age range 18–79) who were invited to participate in the study while waiting their turn to receive administrative services at the Mexican Consulate in Austin Texas. Data was collected in Spanish with a seven-item multiple choice questionnaire, using electronic tablets. The majority of respondents received their last vaccination longer than 5 years earlier. A higher percentage of individuals in the older age groups received a vaccine in the last year, as opposed to their younger counterparts who obtained their last immunization 3 to 5 years earlier. Among the reasons given for not getting vaccinated were lack of time or money, feared injections and side effects, insufficient information, interest or motivation. Others did not get vaccines because they perceived themselves to be healthy and did not feel sick. Findings from this study have important implications for future preventive medicine and vaccination practices that reach socially excluded groups in times of COVID-19. Recommendations are made to facilitate access to vaccines to the target group of this study and other socially disadvantaged populations in the global health context.

scholarly journals Characteristics of Osteoporosis & Osteoporotic Fractures in Korea Based on Health Insurance Review and Assessment (HIRA) Database: 2009–2017

Healthcare ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 324
Author(s):  
Ho-Seok Oh ◽  
Sung-Kyu Kim ◽  
Hyoung-Yeon Seo
Keyword(s):  
Health Insurance ◽  
Age Groups ◽  
Osteoporotic Fractures ◽  
Prescription Data ◽  
Diagnostic Codes ◽  
Number Of Patients ◽  
Upper And Lower Extremities ◽  
Fractures Of The Spine ◽  
And Gender ◽  
Age Range

To investigate the incidence and characteristics of osteoporosis and osteoporotic fractures in Korea, we used the Health Insurance Review and Assessment Service (HIRA) database. Patients over 50 years old, who were diagnosed or treated for osteoporosis and osteoporotic fractures in all hospitals and clinics, were analyzed between 1 January 2009 and 31 December 2017 by using the HIRA database that contains prescription data and diagnostic codes. These data were retrospectively analyzed by decade and age-specific and gender-specific incidents in each year. We also evaluated other characteristics of patients including medication state of osteoporosis, primary used medical institution, regional-specific incidence of osteoporosis, and incidence of site-specific osteoporotic fractures. The number of osteoporosis patients over 50 years old, as diagnosed by a doctor, steadily increased from 2009 to 2017. The number of osteoporosis patients was notably greatest in the 60′s and 70′s age groups in every study period. Patients undergoing treatment for osteoporosis increased significantly (96%) from 2009 to 2017. Among the patients diagnosed with osteoporosis, the proportion who experienced osteoporotic fracture increased gradually (60%) from 2009 to 2017. The number of patients with osteoporotic fractures of the spine and hip was highest in the 70 to 90 age range, and the number of patients with osteoporotic fractures in the upper and lower extremities was highest in the 50 to 70 age range. Understanding the trends of osteoporosis in Korea will contribute to manage the increased number of patients with osteoporosis and osteoporotic fractures.

scholarly journals Older Adults and Technology Use: A Systematic Literature Review

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 823-823
Author(s):  
Hyung Wook Choi ◽  
Rose Ann DiMaria-Ghalili ◽  
Mat Kelly ◽  
Alexander Poole ◽  
Erjia Yan ◽  
...  
Keyword(s):  
Older Adults ◽  
Technology Use ◽  
Age Groups ◽  
Well Being ◽  
Sample Population ◽  
Age Cohorts ◽  
Fine Grained ◽  
Nuanced Understanding ◽  
Smart Technologies ◽  
Age Range

Abstract Researchers are increasingly interested in leveraging technology to support the physical and mental well-being of older adults. We systematically reviewed previous scholars’ criteria for sampling older adult populations, focusing on age cohorts (namely adults over 65) and their use of internet and smart technologies. We iteratively developed keyword combinations that represent older adults and technology from the retrieved literature. Between 2011 and 2020, 70 systematic reviews were identified, 26 of which met our inclusion criteria for full review. Most important, not one of the 26 papers used a sample population classification more fine-grained than “65 and older.” A knowledge gap thus exists; researchers lack a nuanced understanding of differences within this extraordinarily broad age-range. Demographics that we propose to analyze empirically include not only finer measures of age (e.g., 65-70 or 71-75, as opposed to “65 and older”), but also those age groups’ attitudes toward and capacity for technology use.

scholarly journals An evaluation of the factor structure of the Self-Assessed Wisdom Scale (SAWS) and the creation of the SAWS-15 as a short measure for personal wisdom

2021 ◽  
pp. 1-11
Author(s):  
Trilas M. Leeman ◽  
Bob G. Knight ◽  
Erich C. Fein ◽  
Sonya Winterbotham ◽  
Jeffrey Dean Webster
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Latent Variables ◽  
Emotional Regulation ◽  
Short Form ◽  
Age Groups ◽  
Total Sample ◽  
Future Research ◽  
Personal Wisdom ◽  
Age Range

ABSTRACT Objectives: Although wisdom is a desirable life span developmental goal, researchers have often lacked brief and reliable construct measures. We examined whether an abbreviated set of items could be empirically derived from the popular 40-item five-factor Self-Assessed Wisdom Scale (SAWS). Design: Survey data from 709 respondents were randomly split into two and analyzed using confirmatory factor analysis (CFA). Setting: The survey was conducted online in Australia. Participants: The total sample consisted of 709 participants (M age = 35.67 years; age range = 15–92 years) of whom 22% were male, and 78% female. Measurement: The study analyzed the 40-item SAWS. Results: Sample 1 showed the traditional five-factor structure for the 40-item SAWS did not fit the data. Exploratory factor analysis (EFA) on Sample 2 offered an alternative model based on a 15-item, five-factor solution with the latent variables Reminiscence/Reflection, Humor, Emotional Regulation, Experience, and Openness. This model, which replicates the factor structure of the original 40-item SAWS with a short form of 15 items, was then confirmed on Sample 1 using a CFA that produced acceptable fit and measurement invariance across age groups. Conclusions: We suggest the abbreviated SAWS-15 can be useful as a measure of individual differences in wisdom, and we highlight areas for future research.

scholarly journals Examining Play Counts and Measurements of Injury Incidence in Youth Football

2017 ◽  
Vol 52 (10) ◽  
pp. 955-965 ◽  
Author(s):  
Zachary Y. Kerr ◽  
Susan W. Yeargin ◽  
Aristarque Djoko ◽  
Sara L. Dalton ◽  
Melissa M. Baker ◽  
...  
Keyword(s):  
Outcome Measure ◽  
Age Groups ◽  
Injury Rate ◽  
Football Players ◽  
Injury Incidence ◽  
Injury Rates ◽  
Head Impacts ◽  
Youth Football ◽  
Rate Ratios ◽  
Age Range

Context: Whereas researchers have provided estimates for the number of head impacts sustained within a youth football season, less is known about the number of plays across which such impact exposure occurs.Objective: To estimate the number of plays in which youth football players participated during the 2013 season and to estimate injury incidence through play-based injury rates.Design: Descriptive epidemiology study.Setting: Youth football.Patients or Other Participants: Youth football players (N = 2098; age range, 5−15 years) from 105 teams in 12 recreational leagues across 6 states.Main Outcome Measure(s): We calculated the average number of athlete-plays per season and per game using independent-samples t tests to compare age groups (5–10 years old versus 11–15 years old) and squad sizes (<20 versus ≥20 players); game injury rates per 1000 athlete-exposures (AEs) and per 10 000 athlete-plays; and injury rate ratios (IRRs) with 95% confidence intervals (CIs) to compare age groups.Results: On average, youth football players participated in 333.9 ± 178.5 plays per season and 43.9 ± 24.0 plays per game. Age groups (5- to 10-year-olds versus 11- to 15-year-olds) did not differ in the average number of plays per season (335.8 versus 332.3, respectively; t2086.4 = 0.45, P = .65) or per game (44.1 versus 43.7, respectively; t2092.3 = 0.38, P = .71). However, players from smaller teams participated in more plays per season (373.7 versus 308.0; t1611.4 = 8.15, P < .001) and per game (47.7 versus 41.4; t1523.5 = 5.67, P < .001). Older players had a greater game injury rate than younger players when injury rates were calculated per 1000 AEs (23.03 versus 17.86/1000 AEs; IRR = 1.29; 95% CI = 1.04, 1.60) or per 10 000 athlete-plays (5.30 versus 4.18/10 000 athlete-plays; IRR = 1.27; 95% CI = 1.02, 1.57).Conclusions: A larger squad size was associated with a lower average number of plays per season and per game. Increasing youth football squad sizes may help reduce head-impact exposure for individual players. The AE-based injury rates yielded effect estimates similar to those of play-based injury rates.

The Influence of the Psychophysical Assessment Paradigm on Pitch Discrimination for Adults (and a Pilot Sample of Children)

2021 ◽  
pp. 003151252110440
Author(s):  
Ashley G. Flagge ◽  
Lucile Puranen ◽  
Madhuri S. Mulekar
Keyword(s):  
Discrimination Performance ◽  
Assessment Method ◽  
Pitch Discrimination ◽  
Adult Women ◽  
Language And Literacy ◽  
Discrimination Accuracy ◽  
Discrimination Ability ◽  
Research Paradigms ◽  
Pilot Sample ◽  
Pattern Of Performance

Pitch discrimination ability has been of research interest due to its potential relationship to language and literacy. However, assessment protocols for pitch discrimination have varied widely. Prior studies with both children and adults have produced conflicting performance findings across different pitch discrimination research paradigms, though they have consistently shown that discrimination accuracy is based on the psychophysical assessment method applied. In the present study, we examined pitch discrimination performance among convenience samples of 19 adult women and ten female children across six different adaptive psychophysical measurement conditions. We found pitch discrimination performance in both groups to be impacted by the measurement paradigm such that, while adults exhibited significantly better discrimination thresholds than did children, the pattern of performance across the six conditions was similar for both the adults and the children.

Nasalance Levels in the Speech of Normal Australian Children

1998 ◽  
Vol 35 (4) ◽  
pp. 287-292 ◽  
Author(s):  
Jan Van Doorn ◽  
Alison Purcell
Keyword(s):  
Cleft Palate ◽  
Age Groups ◽  
Metropolitan Region ◽  
Age Dependence ◽  
Normal Limits ◽  
Reference Information ◽  
Regional Dialect ◽  
Australian English ◽  
Gender Dependence ◽  
Age Range

Objective Nasalance scores have been shown to depend on the regional dialect of English spoken. Australian cleft palate clinics are increasingly making use of the Nasometer as part of their evaluation of velopharyngeal inadequacy. There are, however, no normative data for Australian English available as reference information. The objective of this study, therefore, was to obtain comprehensive nasalance data for a large group of Australian children, aged 4 to 9 years, for two standard nasalance passages (Zoo Passage and Nasal Sentences) and to investigate any gender or age differences within that age range. Participants The participants were 245 children (123 female, 122 male) ranging in age from 4 years, 0 months, to 9 years, 3 months. The children were recruited from a variety of schools and preschools across the Sydney metropolitan region. The children all spoke Australian English, and their hearing, articulation skills, and speech resonance were within normal limits. Method Mean nasalance scores were obtained for two speech passages that are used as standards for Nasometer testing (Zoo Passage and Nasal Sentences). In addition, the nasalance data were analyzed for any gender and age dependence, using separate analyses of variance for each speech passage. Five consecutive age groups were used to examine age dependence (4-, 5-, 6-, 7-, and 8-year-old children). Results A mean score of 13.1 (SD, 5.9) was obtained for the Zoo Passage, and a mean of 59.6 (SD, 8.1) for the Nasal Sentences. The analysis of variance results indicated that, at a probability level of p < 0.01, there was no statistically significant age or gender dependence for either speech passage. Conclusion These normative nasalance data for children who speak Australian English will provide important reference information for clinicians who assess nasality disorders in cleft palate clinics in Australia.

scholarly journals The comprehension of deictic terms in normal and language impaired children

1981 ◽  
Vol 28 (1) ◽  
Author(s):  
Michelle Mentis
Keyword(s):  
Qualitative Analysis ◽  
The Other ◽  
Developmental Sequence ◽  
Stages Of Development ◽  
Normal Children ◽  
Language Impaired ◽  
Semantic Complexity ◽  
Impaired Group ◽  
Age Range ◽  
Impaired Children

This study examined the comprehension of four pairs of deictic terms in a group of language impaired children and compared their interpretation of these terms with those of non-language impaired children of the same age range. Each group was comprised of ten subjects within the age range of 9,6 to 10,6 years. Two tasks were administered, one to assess the comprehension of the terms here, there, this, and that and the other to assess the comprehension of the terms, come, go, bring and take. The results showed that while the non-language impaired subjects comprehended the full deictic contrast between the pairs of terms tested, the language impaired group did not. A qualitative analysis of the data revealed that the language impaired subjects appeared to follow the same developmental sequence as normal children in their acquisition of these terms and responded by using the same strategies that younger non-language impaired children use at equivalent stages of development. Furthermore, the language impaired subjects appeared to comprehend the deictic terms in a predictable order based on their relative semantic complexity.

Serum Protein Concentrations in Normal Children

1971 ◽  
Vol 40 (1) ◽  
pp. 67-71 ◽  
Author(s):  
Berenice Abrams
Keyword(s):  
Young Adults ◽  
Serum Protein ◽  
Protein Level ◽  
Serum Proteins ◽  
Specific Component ◽  
Normal Children ◽  
Protein Levels ◽  
Group Specific Component ◽  
Α2 Macroglobulin ◽  
Age Range

1. Serum proteins were studied in 106 children ranging from 3 to 14 years using a modification of Laurell's method of quantitative immunoelectrophoresis. 2. Quantitative values are given for eleven proteins, viz.: α1 lipoprotein, α1 antitrypsin, α1 easily precipitable glycoprotein, α1 group specific component, α2 macroglobulin, caeruloplasmin, haptoglobin, transferrin, haemopexin, β lipoprotein, and β1AC(C3). 3. There were no significant differences in protein levels between the sexes, and no correlation between age and protein level within the age range studied. 4. The values were also compared with those of infants aged 6–12 months, young adults of 16–25 years, and adults of 16–65 years.

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