Skip to main content
. Author manuscript; available in PMC: 2013 Sep 1.
Published in final edited form as: Health Psychol. 2011 Dec 12;31(5):650–659. doi: 10.1037/a0026666

Table 1.

Sample Characteristics

Measure Younger adults Older adults Age difference
Demographic information

Age 19.5 (1.6) 71.7 (7.6)
Years of education 13.8 (1.1) 16.1 (2.2) t(153) = -7.96***
Self-reported health 3.8 (.9) 3.8 (.9) t(153) = -.07

Visual acuity

Pelli-Robson contrast sensitivity 1.67 (.09) 1.55 (.16) t(152) = 5.14***
Rosenbaum near vision 21 (3.0) 30 (16.1) t(152) = -4.75***
Snellen visual acuity 25 (8.6) 33 (13.8) t(151) = -4.57***

Personal relevance of skin-cancer

Brief Skin Cancer Risk Assessment Tool (BRAT) 24.6 (7.8) 35.4 (17.6) t(151) = -4.94**
Skin-checking behavior (thorough skin examination) 2.6% 2.6%

Attention Network Test

Conflict (Executive control) 139 158 t(139) = -1.56

Note. The sample consisted of 78 young adults (28 men, 50 women; range: 18-25) and 77 older adults (14 men, 63 women; range: 60-92). Means are given for trackable participants only (see Method). Standard deviations are noted within parentheses. The following tests were used: self-reported age, estimated years of education ranging from 10 (some high school) to 18 (graduate school) based on self-reported levels of education, self-reported current health, ranging from 1 (poor) to 5 (excellent), Pelli-Robson contrast sensitivity chart (Pelli, Robson & Wilkins, 1988), Rosenbaum pocket vision screener for near vision (Rosenbaum, 1984), Snellen chart for visual acuity, Brief Skin Cancer Risk Assessment Tool (BRAT; Glanz et al., 2003) and Thorough Skin Self-Examination (TSSE; Weinstock et al., 2004). Missing responses are due to technical failures or participants not complying with task instructions for proper assessment. Significance notation indicates significance of the age difference

***

p < .001.

**

p < .01.

* p < .05.