Sentences with phrase «age of participants =»

Researchers investigated this question in a study of people in dating relationships recruited online (average age of participants = 24 years old; 90 % heterosexual).

Data from a large - scale study of over 1,100 married, opposite - sex couples in Ireland (more than 2,200 individuals), in which at least one spouse was over 60 years of age (average age of participants = 67 years old), was used to investigate loneliness among older adults.

Not exact matches

In this pilot, participants were recruited using convenience sampling, including both genders, and a variety of age groups (n = 10).

Participants Healthy full - term newborns (n = 3240)(≥ 37 weeks estimated gestational age) during the first 24 hours of life.

Participant characteristics: mean age: 24.4 years; married n = 47 (78 %); white n = 55 (93 %); completed high school n = 58 (97 %); income of USD ≤ 20,000 n = 13 (22 %)

The scale is strongly correlated with visual analog scale responses of children aged 5 — 12 y (r = 0.93, n = 76 nonclinical participants; r = 0.92, n = 45 clinical participants)(18).

Data were analysed for the remaining 17 participants (mean age = 26.29 years, SD = 2.37 years; mean experience in most experienced instrument = 13.76 years, SD = 6.00 years, seven of whom were conservatory - level).

Design, Setting, and Participants Cases (n = 2014) with a first acute nonfatal MI and population - based controls (n = 2014) living in Costa Rica between 1994 and 2004, matched for age, sex, and area of residence, were genotyped by restriction fragment — length polymorphism polymerase chain reaction.

Age was also significantly negatively correlated with the total number of offline methods participants reported having used to meet others, r = −.28, p <.001.

Estimates of time spent browsing personals ads, r =.19, p <.05, as well as total time engaged in online dating activity, r =.19, p <.05, and the ratio of total time engaged in online activity to total time online, r =.24, p <.01, all increased slightly with participant age.

The corresponding correlation between age and number of responses received was also positive but failed to achieve significance, r =.16, ns, and the correlations between age and participants» estimates of the proportion of responses that were favorable and unfavorable were nonsignificant (p s =.10) and close to 0 (r s <.04).

Children with rare (i.e., prevalence = 5 %) processing speed strengths and weaknesses were matched on age, race, gender, parents» education level, and general ability with an equal number of comparison participants without unusual processing speed profiles.

Participants (N = 120; mean age = 19.73; SD = 5.28; range = 17 — 53; females = 67 %) were students in the School of Psychology at the University of Western Australia who took part in the study in exchange for course credits.

The children of the participants were 51 % female and had a mean age of 3.3 years (SD = 0.8) at the point of initial recruitment.

Two - thirds of the participants (68.0 %) were in the older cohort; at Time 1, their mean age was 15.8 years (SD = 0.8) and at Time 2 their mean age was 20.4 years (SD = 0.8).

Women who agreed to participate in the study (N = 439) represented about 80 % of those who were eligible.10 Participants in the intervention groups (PP+HS vs HS only) differed from those in the UC group on 2 potential confounds, maternal education and maternal age (Table 2).

The participants had a mean age of 12.6 years (SD = 2.6 years); 50.2 % of them were girls and 32.5 % were members of ethnic minorities.

One - third of the participants (32.0 %) were in the younger cohort; at Time 1, their mean age was 12.8 years (SD = 0.8) and at Time 2 their mean age was 17.2 years (SD = 0.6).

Participants Adolescents (aged 12 — 18) with low mood / depression were assessed for eligibility, 91 of whom met the inclusion criteria and were consented and randomised to Stressbusters (n = 45) or websites (n = 46) using remote computerised single allocation.

We used EHCs as recruitment sites because they provide health - related information that can be used for eligibility screening purposes, and their clients are usually willing to participate in health - related studies endorsed by the Department of Health, HKSAR.37 Although EHCs» clients are representative of the general population of older adults in terms of age and SES, 37 they tend to be more health conscious.38 To examine the potential bias (better mental health) associated with recruiting participants from the EHCs, we recruited approximately 30 % of the sample (n = 258) from elderly community centres with no formal provision of medical and health services.

METHODS: Participants were 1994 women (mean age = 31 years) and their infants, who were recruited in pregnancy as part of a prospective longitudinal cohort from 2008 to 2010.

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

Participants Representative population - based sample of non-institutionalised youth aged between 0 and 17 years (n = 17 450) and examined between 2003 and 2006.

The analyses also included age, race / ethnicity (three binary variables for Black, Hispanic and other ethnicity, coded with Whites as the reference group), gender, household income and parental education, media - viewing habits — hours watching television on a school day and how often the participant viewed movies together with his / her parents — and receptivity to alcohol marketing (based on whether or not the adolescent owned alcohol - branded merchandise at waves 2 — 4).31 Family predictors included perceived inhome availability of alcohol, subject - reported parental alcohol use (assessed at the 16 M survey and assumed to be invariant) and perceptions of authoritative parenting (α = 0.80).32 Other covariates included school performance, extracurricular participation, number of friends who used alcohol, weekly spending money, sensation seeking (4 - wave Cronbach's α range = 0.57 — 0.62) 33 and rebelliousness (0.71 — 0.76).34 All survey items are listed in table S1.

The ages of participants ranged from 18 to 29 years old (M = 22.31 for males, SD = 1.29; and M = 20.31 for females, SD = 1.07), with 200 males and 201 females.

The participants included 115 children (43.5 % female) between 46.5 and 69.6 months of age (mean [SD], 50.73 [4.98] months) who had been previously randomly assigned to either the Attachment and Biobehavioral Catch - up (ABC) intervention (n = 54) or the control intervention (n = 61).

Thirty - eight percent of the supervisor participants were female, the average age was 42.9 (SD = 12.43), 90.4 % were Caucasian,.7 % were African — American, 2.7 % were Asian, 1.4 were Native American, and the remaining 2.1 % were either «other» or not reported.

Fifty - seven percent of the employee participants were female, the average age was 36.6 (SD = 10.97), 78.0 % were Caucasian, 1.8 % were African — American, 3.9 % were Hispanic, 4.7 % was Asian, 6.3 were Native American, and the remaining 3 % were either «other» or not reported.

The mean age of the Egyptian participants was 19.33 years, SD = 1.14.

The present study explored both individual and relationship - level risk factors and their associations with physical victimization and perpetration across more than 10 years using a community sample of 200 participants (50 % female; M age Wave 1 = 15.8).

Participants (N girls = 127; M age = 14.50; N boys = 121; M age = 14.31) completed self - report questionnaires of attachment to parents and peers, emotion regulation and depression.

Participants were between 16 and 65 years of age (M = 29.92, SD = 10.50).

The average age of the participants was 10.31 years (SD = 1.43) ranging from age 9 to 12.

Participant Demographic Information Variables Mother's age Child's age (N = 233) M / SD 31.33 (6.04) M / SD 3.32 (1.03) Percentage 79.8 % 5.2 % 4.7 % 4.3 % 1.3 % 1.3 % 3.4 % Percentage 1.3 % 6.9 % 7.7 % 13.7 % 12.0 % 11.2 % 9.4 % 37.6 % Percentage 8.6 % 3.9 % 36.1 % 38.2 % 12.4 % 0.9 % Percentage 9.4 % 14.2 % 73.0 % 1.3 % 1.3 % 0.9 % Sample The sample examined for this study consisted of 233 mothers who had young children between 2 and 5 years old.

Mean age of the participants was 29 years (SD = 9.1 years).

Participants» age ranged from 18 to 21 years (M = 18.81; SD =.95), with a total of 66 % females.

This study examines developmental differences in flexible goal adjustment (FGA) regarding age and gender in a sample of N = 815 participants (10 to 20 years; M = 13.63, SD = 2.60, 48.5 % male).

The mean age of the participants was 22.62 years (SD = 4.10 years; range was 19 to 48).

Participants: 60 children with normal intelligence, 3 (n = 13), 4 (n = 24), 5 (n = 23) years of age, mean: 56.1 (SD 8.7) months.

Participants (N = 488) were part of the Child / Adolescent Anxiety Multi-modal study (CAMS), ages 7 — 17 years (M = 10.69; SD = 2.80).

To investigate the link between attachment to parents and delinquency, and the potential moderating effects of age and sex, 74 published and unpublished manuscripts (N = 55,537 participants) were subjected to a multilevel meta - analysis.

Participants were 302 Latino / a recent immigrant adolescents (53.3 % boys, M age = 14.51 years at Time 1, SD =.88 years) who completed measures of discrimination, depressive symptoms, and prosocial behaviors at 6 - month intervals.

To examine whether the emotions in the emotion picture book were interpreted as they were intended, we asked 67 respondents (36 % male) between 20 and 63 years of age (M = 34.0, SD = 12.9) with a similar socioeconomic background as the participants in the main study to label the emotions of the children in the pictures.

Participants (N = 487; 73.9 % Caucasian; 52.6 % female; mean age 22.23 years) completed the GMQ and questionnaire measures of gambling behaviour and problems.

Participants were a subset of a larger sample who met formal criteria for: 1) DSM - IV diagnosis [40] of antisocial behaviour problems (ODD or CD) using DISCAP structured interview [41]; 2) aged from 3 — 16 years for the genetic sample (M = 7.61, SD = 3.12) and aged 4 — 12 years for the serum sample (M = 6.89, SD = 2.25); 3) no major neurological / physical illness; 4) IQ > 75; 5) have at least one set of measures of serotonin system SNPs or serum serotonin levels; 6) all known (at least 3) grandparents of Caucasian background (for participants included in the genetics sample); 7) provided written parenParticipants were a subset of a larger sample who met formal criteria for: 1) DSM - IV diagnosis [40] of antisocial behaviour problems (ODD or CD) using DISCAP structured interview [41]; 2) aged from 3 — 16 years for the genetic sample (M = 7.61, SD = 3.12) and aged 4 — 12 years for the serum sample (M = 6.89, SD = 2.25); 3) no major neurological / physical illness; 4) IQ > 75; 5) have at least one set of measures of serotonin system SNPs or serum serotonin levels; 6) all known (at least 3) grandparents of Caucasian background (for participants included in the genetics sample); 7) provided written parenparticipants included in the genetics sample); 7) provided written parental consent.

In order to minimize the effect of widowhood (see Federal Statistical Office Germany, 2013b) for the analysis, a subsample of 1,676 participants was used, aged 18 to 60 (M = 41.0, SD = 12.3).

Mean age of participants was 25.4 (SD = 6.13), and 55.5 % were female; 76.4 % of the participants had a high school degree or less, 41 % had a job, and 40 % were students.

This article utilizes a subset of 308 participants (157 men and 151 women; mean age = 51) whose only living parent was their mother (Table 1).

The participants were aged 18 to 60 (M = 41.0, SD = 12.3); 54 % of the sample were female, and 40 % were single.

Participants were 50 adolescents with IBD and their parents and parents of 42 healthy comparison adolescents (M age = 14.39 years, 59 % male, 87 % Caucasian).