Sentences with phrase «mean age of the sample»

The mean age of the sample was 12 years; 50 % were female.

Not exact matches

«Most studies that have so far dealt with this question by means of functional imaging have mostly examined only very small and heterogeneous samples, which clearly differ with regard to age, gender or duration of illness.

The mean sample size was 1,011 and the average age of leaders (across the 40 samples in which age was reported) was 39.

The sample was young, and the mean age of onset for depression is significantly later than anxiety.

«The extraordinarily young age of this lunar sample either means that the Moon solidified significantly later than previous estimates, or that we need to change our entire understanding of the Moon's geochemical history,» Carlson said.

Determinations of surface gravity ($ \ log -LCB- g -RCB- $), mean density ($ \ rho $), radius ($ R$), mass ($ M$), and age ($ \ tau $) for the whole sample have been carried out with stellar grid - based modeling.

«Focussing on dementia, It is important to note that the study sample for dementia had a mean age of 69 years (SD 6 years) at onset of the study and they were followed up for 10 years.

The fraction of Anglo - Saxon derived ancestry is computed for each modern UK10K sample as the relative distance of its relative sharing ratio from the Iron Age mean value compared with the Saxon era mean value, as shown in Fig. 2b, with 0 % corresponding to the Iron Age mean, and 100 % corresponding to the Anglo - Saxon era mean (Supplementary Note 3, Supplementary Table 4).

Continuous series of tree - ring dated wood samples have been obtained for roughly the past 10,000 years which give the approximate correct radiocarbon age, demonstrating the general validity of the conventional radiocarbon dating technique.Several long tree - ring chronologies have been constructed specifically for use in calibrating the radiocarbon time scale.Some may have mistaken this to mean that the sample had been dated to 20,000 radiocarbon years.The second characteristic of the measurement of radiocarbon is that it is easy to contaminate a sample which contains very little radiocarbon with enough radiocarbon from the research environment to give it an apparent radiocarbon age which is much less than its actual radiocarbon age.

«We examined the evidence for a time - dependent elevation bias in the reconstruction by regressing mean MXD against mean sample elevation for different age classes of trees... These results (shown in [their] Table 2) indicate no significant elevational influence on mean density, at least over the range of elevation involved in these calculations»

Thus using Jeffreys» prior means effectively assuming that the changes in atmospheric C14 concentration have removed all samples of some particular ages from our environment.

If it is mean tree ring width in the sample versus mean age of trees sampled, then, as I understand, non-random attrition of trees will produce this non-monotonous feature as you show in your graphs in # 445.

If the sample is an accurate reflection of the wider older population it would mean 227,000 people aged over 66 suffering mistreatment in a given year.

This means that those who are in the older age bracket of 50 + may have a better chance of qualifying, as no blood or urine sample is needed by the insurer.

The sample had a mean age of 15.1 years (SD, 1.9 years), and was 84 % female and 71 % Hispanic (Table 1).

The age of participants in the sample ranged from 12 to 19 with a mean of 15.66 and SD of 1.43.

The final sample of 163 mothers ranged in age from 18 to 52 years, with a mean of 31.2 years.

Mothers in the final sample ranged in age from 18 to 52 years, with a mean of 31.2 years (SD: 6.3 years).

The sample consisted mainly of adolescents aged between 13 and 16 years (n = 881; 84.7 %) with a mean (SD) age of 15.0 (1.8) years.

This sample consisted of 152 mothers with children between the ages of 1.6 and 8 years (mean child age = 4.2 years).

Electrocardiogram, impedance cardiograph, and neuroendocrine data were collected during laboratory - based challenge tasks from children (mean age = 12.9 y) raised in deprived institutional settings in Romania randomized to a high - quality foster care intervention (n = 48) or to remain in care as usual (n = 43) and a sample of typically developing Romanian children (n = 47).

We entered the number of patients and control group members, mean age, percentage of girls and of members of ethnic minorities, the country of data collection, year of publication, type of illness, duration of illness, the sampling procedure (1 = probability samples, 0 = convenience samples), the use of a control group (0 = yes, 1 = comparison with test norms), equivalence of patients and control group (1 = yes, 2 = not tested, 3 = no), the rater of depressive symptoms (1 = child, 2 = parent, 3 = teacher, 4 = clinician), the measurement of the variables, and the standardized size of between - group differences in depressive symptoms.

Study Selection Studies were included if they sampled adolescents (mean sample age ≤ 18 years), included an adolescent report of sexual communication with one or both parents, measured safer sex behavior, and were published in English.

This pattern of change in means over the decade between the 2005 study and ours appears consistent with the small, but significant, increases observed between 2007 and 2012 in the self - report subscale means for Total Difficulties, Emotional Symptoms, Peer Relationship Problems and Hyperactivity - Inattention (but a decrease in Conduct Problems) in nationally representative New Zealand samples of children aged 12 — 15 years, 28 and with a similar increase in Emotional Symptoms and decrease in Conduct Problems between 2009 and 2014 in English community samples of children aged 11 — 13 years.29 The mean PLE score in the MCS sample aligned closely with that reported previously for a relatively deprived inner - city London, UK, community sample aged 9 — 12 years19 using these same nine items, although the overall prevalence of a «Certainly True» to at least one of the nine items in the MCS (52.2 %) was lower than that obtained in the London sample (66.0 %).8

The mean age at menarche in this sample was13 years (range, 8.5 - 15 years), and 46 % of the adolescent boys had their growth spurt from ages 13 to 15 years.

At second wave the mean age of the participants was 13.55 years (SD = 0.54), and girls constituted 51.2 % of the sample.

Parental mental health also made its impact felt in other ways: Feldman et al17 showed that children of parents with BPD were at risk of witnessing parental suicide attempts, with 24 % of the sample (mean age 11 years) having witnessed a maternal attempt, and 19 % having witnessed a paternal attempt.

Consecutive sample of 453 people (58 % male, mean age 61 years, range 25 — 93 years) hospitalised for ACS: 21 % with acute myocardial infarction with ST - segment elevation, 33 % with acute myocardial infarction without ST - segment elevation and 46 % with unstable angina.

At the fourth wave, the mean (± SD) age and years of education of the sample were, respectively, 36.3 ± 8.2 years and 14.3 ± 2.2 years.

The study sample included 33 healthy adults, consisting of 14 males and 19 females with a mean age of 29.2 years.

Waking cortisol levels differed significantly between children in the ABC group (mean [SD], − 0.87 [0.45] μg / dL) and children the DEF group (mean [SD], − 1.05 [0.43] μg / dL), controlling for time of sample collection and age (β01 = 0.18; P =.03).

At two time points (T1 and T2, ~ 15 months apart), we examined early academic skills (school readiness), and parent - reported behavioral adjustment (internalizing and externalizing behavior) and adaptive functioning of a sample of 75 children (45.9 % boys, mean age = 5.17 years) adopted from Russia into US families.

The sample consisted of 1,341 adolescents (47 % girls) with a mean age of 14 years, SD = 0.56.

In the study sample the mean percentage of girls at these ages is about 51 % (boys 49 %).

Utilising data from the Australian sample of the International Youth Development Study, frequency of volunteering in Grade 9 (mean age = 15 years) and in young adulthood (mean age = 21 years), and completion of secondary school were measured.

The sample consisted of 774 largely single (74 %), uninsured (63 %), African American (65 %) women, with a mean age of 24 ± 6 years and a mean annual income of $ 8063.

The initial sample consisted of 78 female adolescents between 12 and 18 years old (mean age 15.4, SD 1.1).

A community sample of 150 parents (mean age = 41.32, SD = 1.71) provided self - report responses regarding their use of supportive parenting behaviors, racial socialization messages and their observations of problem behaviors.

Using a total sample (N = 2,572) and subsample (n = 441) of children ages 3 — 18 years old, the purpose of this study was to assess whether cumulative types of family violence lead to higher mean externalizing behavior scores and to examine the effects of single types of indirect and direct family violence on children's mean externalizing behavior scores.

The mean age of the ADHD sample is 9 years (range 6 — 16, SD 2), and the mean IQ is 106 (SD 13).

The sample included 164 adolescents (mean age = 14.6 years; 83 % male) randomly assigned to receive MST or services as usual; parent, youth, and teacher reports of adolescent functioning were obtained.

The sample consisted of 78 female adolescents (mean age 15.4; SD 1.1) admitted to a closed treatment institution.

At age 3, 19942 families were sampled; 15590 responded to at least 1 part of the MCS (response rate: 78 %) and 14444 completed the SDQ (mean child age at data collection = 3.15 years; age range = 2.65 — 4.57 years).

Several studies have addressed the validity of the parent - reported SDQ in school - aged samples, predominantly confirming the intended 5 - factor structure.5, 6 A 3 - factor configuration of externalizing (conduct problems and hyperactivity), internalizing (emotional and peer problems), and prosocial factors has also been proposed and suggested for use in epidemiologic studies and in low - risk populations.7, 8 The internal reliability of SDQ subscales has been predominantly examined by using Cronbach's α, a measure of the interrelatedness of items; however, α estimates are a lower bound for reliability and is often underestimated.9 A meta - analytic review reported weighted mean α coefficients extracted from 26 studies that showed generally modest reliabilities for parent reports (0.53 < α < 0.76).10 McDonald's ω, which estimates the proportion of a scale measuring a construct, typically yields higher reliability estimates but has rarely been used to assess reliability of the SDQ.

These aims were examined in 587 adolescents (mean age 15.6; 71.6 % male) from clinical samples of four different sites.

A sample of 550 girls (mean age = 15) drawn from a larger representative community sample in Quebec, Canada, completed a questionnaire on three forms of dating violence victimization (psychological, physical, and sexual).

Although Timko and colleagues highlight both genetic components and the burden associated with having a chronically depressed parent in adulthood, the age of this sample was relatively young (mean age = 34) in comparison to age ranges typically thought to encompass midlife.

The final sample consisted of 405 high school students (49.8 % male and 50.2 % females) whose ages ranged from 14 to 19 (mean = 16.18; SD = 0.95).

Furthermore, Sheldon et al. (2009) also tested the universality of psychological needs regarding autonomy, competence, and relatedness in the school setting in samples of 363 Nigerian students (mean age, 14.2 years) and 926 Indian students (mean age, 14.4 years).

The sample consisted of 570 children, 88 (15.4 %) females and 482 (84.6 %) males, with a mean age of 10.78 years (SD 3.01 years).