Participant Characteristics Sample Clauses

Participant Characteristics. Twenty-three healthy male R.O.T.C. cadets, as described in Table 1 (Mean ± SD & range), participated in this study. As seen in Table 1, the mean percentage body fat was significantly lower when analyzed with taping than with DXA (p < 0.001). Based on questionnaire data, the men self-reported to consume an average of 2,364.45 ± 1,479.78 mL water daily.
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Participant Characteristics. Table 1 summarizes the descriptive data on socio-demographic characteristics and depression variables. There were statistically significant differences between the two groups in age, gender and level of education (6-10 vs. ≥ 11 years of formal education). Healthy participants were slightly older (F(1, 120) = 3.66, p = .058), counted a higher proportion of males (χ2(1) = 15.67, p <.001) and were higher educated (χ2(1) = 21.54, p <.001). All analyses comparing these two groups were corrected for age, gender and education. There were no significant differences in age or gender between the puzzle and music groups in the ND group; subsequently these variables were ignored in the analyses in this group. Although the mean CES-D found in the clinical group was below the cut point of 16, it was much higher than the mean reported in Beekman et al. (1994), who found in a sample of the normal population of Dutch elders [M = 8.8, SD = 6.9), t(62) = 5.44, p <.001]. In the clinical group, the correlation between the AMT and the CES-D (r = -.021, p = .87) and the association between the AMT and the use of antidepressants/tranquilizers (t = -0.31, p = .76) were non-significant. Hence, the analyses of AMT scores were not corrected for depression severity or use of antidepressants or tranquilizers. Table 1. Socio-demographic and mental health characteristics Remitted Depressed N=63 Never Depressed N=58 Test statistic p Age 55-86 F(1) = 3.41 .067 Mean (SD) 64.92 (6.84) 67.5 (8.5) 55 – 59 16 11 60 - 64 20 11 65 – 69 10 12 70 - 75 9 12 75 – 85 8 11 Gender M 15 (24%) 34 (58.6%) χ2(1) = 15.19 <.001 Cohabiting 38 (60.3%) 39 (67.6%) χ2(1) = 0.63 .429 EDU ≥ 11 yrs 30 (47.6%) 51 (88%) χ2(1) = 22.18 <.001 Mental Health Characteristics Previous MDD ≥ 2 episodes CES-D Mean (SD) Range ≥ 16 ≥ 22 Antidepressants or Tranquilliser a a five missing 54 (85.7%) 37 (59.7%) 15.07 (9.14) 0 – 43 29 (46%) 12 (19%) 13 (22%) Comparison healthy and clinical elderly on AMT performance Group differences on the AMT were analyzed with a multivariate ANOVA with group, gender and education level as BS variables and age as covariate. Only age had a significant main effect [Λ = 0.82, F(2, 111) = 12.15, p <.001]. Univariate tests showed that age affected the positive but not the negative cue words (F = 24.50, p <.001). Effects of mood induction in healthy controls Mood changes and the test-retest effect of the AMT were analyzed with a 2 (induction type: puzzle or music) x 2 (word valence: negative, positive) AN...
Participant Characteristics. 2.2 Support Packages With comparison of CALD experience against the same measures for all participants. Other performance measures as developed by the NSW and Commonwealth Governments from the activity data provided monthly.
Participant Characteristics. There were 12,032 AYMSM aged 15 to 24 years who were included in our study. Overall, 47% of participants reported receiving free condoms (Table 3.1). AYMSM in the most disadvantaged ZCTAS had a mean age of 21 years (SD 2.4), were 11% Black and 33% Hispanic, and resided primarily in urban areas (45%). In comparison, AYMSM in the least disadvantaged ZCTAs were younger (mean age 20 years, SD 2.5), predominantly White (78%), and more likely to reside in suburban areas (49%). Among AYMSM in the most disadvantaged ZCTAs, 11% reported not having any health insurance, compared to 5% among AYMSM in the least disadvantaged ZCTAs. Having seen a health care provider in the past year was high in both groups. AYMSM in the most disadvantaged ZCTAs reported higher levels of CAI (67%) and STI diagnosis (10%) in the past year than AYMSM in the least disadvantaged ZCTAs, among whom 59% reported CAI and 7% an STI diagnosis. AYMSM in the most disadvantaged ZCTAs reported higher levels of STI testing in the past year (38%) and having ever tested for HIV (61%). AYMSM in the least disadvantaged ZCTAs reported less STI testing in the past year (31%), and less than half (47%) had ever been tested for HIV. Approximately two-thirds (67%) of AYMSM in the most disadvantaged ZCTAs and 55% of AYMSM in the least disadvantaged ZCTAs had heard of PrEP. Receipt of free condoms was reported by 53% of AYMSM in the most disadvantaged ZCTAs and 45% of AYMSM in the least disadvantaged ZCTAs. By ICE, AYMSM who resided in ZCTAs with the highest concentration of POC individuals (Q5) were correspondingly, more racially and ethnically diverse, with 54% Hispanic and 14% Black, whereas AYMSM who resided in ZCTAs with the highest concentration of White individuals (Q1) were 91% White, 7% Hispanic, and 1% Black. Among AYMSM in the highest POC concentration ZCTAs, 67% identified as gay and 25% were bisexual, whereas 72% of AYMSM in the highest White concentration ZCTAs identified as gay and 22% as bisexual. AYMSM in the highest POC concentration ZCTAs primarily resided in the South (45%) and West (33%) and in urban areas (57%). AYMSM in the highest White concentration ZCTAs were largely from the Midwest (43%) and Northeast (30%) and resided in rural (35%) and small and medium metropolitan (34%) areas. Across both groups, AYMSM were similar in age (mean age of 20 years). Among AYMSM in the highest POC concentration ZCTAs, 88% were on track with their education, and 13% reported being uninsured. For AYMSM in...
Participant Characteristics. RTI International examined the sociodemograpic information of participants in order to determine how well focus group participants represented Legacy mothers overall, and clarify any contextual factors that may have contributed toward participants’ experience with and perspectives on the program. This information covered three general areas: racial/ethnic information, employment status, and language preference. Racial/ethnic information. In Miami, the majority of mothers identified as Black/non-Hispanic (75%). Seven percent of mothers identified as Hispanic, and one percent identified with another racial/ethnic group. In Los Angeles, the majority of mothers identified as Hispanic (52%), or Black/non-Hispanic (34%). Five percent of respondents identified as White/non-Hispanic, and another two percent identified as Asian. The remaining five percent identified with another racial/ethnic group. RTI International determined the racial/ethnic composition of focus groups mirrored that of Legacy participants overall.
Participant Characteristics. Thirty patient-surrogate pairs participated in the study between January 2015 to January 2018. Patients were mainly Chinese (70%) and male (60%) (Table 1). Median Table 1. Characteristics of Patients Patient n = 30 Median age (range) 80 (59 – 97) Gender (%) Female 12 (40) Ethnicity (%) Chinese 21 (70) Malay 5 (16) Indian 3 (10)
Participant Characteristics. Ten patient and family groups participated in interviews at the Emory ALS Center between February and April 2017. The average ALSFRS-R (ALS Functional Rating Score-Revised) for patients was 34 (range 27-44). Table 1 summarizes participant characteristics. Interviews lasted an average of 31 minutes (range 15-54). Characteristic Sub-Characteristic N (%) Patient Gender Male 9 (90%) Female 1 (10%) ALSFRS-R* 34.4, 4.4 (27-44) Table 1- Characteristics of ten ALS patient and family/caregiver groups who participated in semi-structured illness narrative interviews. Non-Patient Participants None 3 (30%) Spouse 5 (50%) Adult Child 3 (30%) Close Friend 1 (10%) *Mean, SD (range) Elicited Themes Following thematic analysis of the ten interview transcripts, sixty-one themes grouped into two genres, six domains, and eighteen categories emerged (see Table 2a & b). The two genres that have been theorized, “Expressed Needs” and “Observed & Experienced Changes” denote two broad and distinct types of themes that arose from the data. The distinguishing characteristic between Genres 1 and 2 was the nature of reporting by the participant. Genre 1, “Expressed Needs” encompasses themes related to the necessary physical, psychosocial, spiritual, and medical needs of the patients, as well as any care desired that the patient was not already receiving (Table 2a). Themes in Genre 1 represent care needs that were either explicitly stated as being helpful, being necessary, being desired, or having been sought out by the patient or participating family member(s). In contrast, Genre 2 comprises themes linked to the physical and psychosocial changes experienced by the patient, family, and caregivers as a result of ALS diagnosis and disease progression (Table 2b). Palliative and supportive care needs arising from Genre 2 were deduced during analysis and do not reflect directly stated patient or family member care needs or desires.
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Participant Characteristics. A total of 16 people were recruited for each discussion session, with the expectation that no fewer than 12 would actually participate due to last-minute cancellations. Respondents were, with some exceptions, randomly recruited from telephone exchange areas of targeted geographic locations. The goal was to have a robust mix of people with different transportation/travel experiences and needs represented in each session. For the Twin Cities, the recruitment area was the seven-county region; respondents were given a choice of which session to attend. For Greater Minnesota locations, participants were recruited from a 30-mile radius of the targeted city. The selection process yielded both male and female participants, at least 21 years of age, with a variety of travel modes and occupations, including those who were employed outside the home and those who were not (see Figure 2). Screening criteria were applied to respondents to ensure representation of certain types of travelers. The criteria included employment status, primary travel mode, work trip travel time, and occupation. These recruitment criteria varied by session as listed below. It should be noted that the data shown in Figure 2 does not include participants from the "dry run" and professional driver sessions. The "dry run" participant profile data was not included in Figure 2 because the main purpose of that session was to determine areas of the discussion sessions that needed refinement. Therefore, demographics on the screening criteria were not collected. However, the session data about transportation needs are included in the analysis found in the remainder of this document. The professional drivers session was not included because the main selection criteria for this session was that the participant's occupation involved heavy use of the transportation system, such as a delivery truck driver. Therefore, the other selection criteria were not relevant to this group.
Participant Characteristics. Agencies were selected to represent diverse state, county and city transportation service providers: roadway operations, regional planning, transit operations, emergency services, public works, traffic management, environmental control and tourism. Arrowhead Transit is the only private organization that participated in the discussion sessions. Arrowhead Transit provides transit service in the Arrowhead Region in northeastern Minnesota and is a division of the Arrowhead Economic Opportunity Agency, a private, non-profit organization that provides various human services in the area. Each session included participants representing a mix of different agencies and transportation services. Table 2 is a list of agency departments and divisions whose representatives participated in the discussion sessions. Table 2. Participating Agencies Agency Name Department/Division Anoka County Anoka County Traveler Arrowhead Economic Opportunity Agency Arrowhead Transit City of Bloomington Public Works City of Duluth Duluth Transit Authority City of Minneapolis Police, Public Works City of Richfield Public Works City of St. Xxxx Public Works Hennepin County Medical Center, Traffic Metropolitan Council Planning, Transit Operations Minnesota Department of Tourism Travel Information Minnesota Department of Transportation Traffic; Truck Center; Traffic Management Center; Office of Electronic Communications; Districts 1, 6 and Metro; Freeway Operations Minnesota Pollution Control Agency Air and Noise Minnesota State Patrol Districts 2100, 2700, 3100 Rochester - Xxxxxxxx Council of Governments Transportation St. Louis County Public Works University of Minnesota Transportation
Participant Characteristics. 2.2 Support Packages With comparison of experience in rural and remote locations with metropolitan areas. Other performance measures as developed by the NSW and Commonwealth Governments from the activity data provided monthly.
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