METHODS: A total of 2,360 adults (18 years and above) from randomly selected households in metropolitan Kuala Lumpur completed face-to-face interviews with trained research assistants that incorporated the validated Malay version of the Cancer Awareness Measure (CAM). Logistic regression was the main statistical technique that was used to investigate the study objectives and relationships (noted above).
RESULTS: The most commonly reported barriers to help-seeking were emotional barriers. The probability of delaying seeking help was 49% higher in participants who reported emotional barriers (OR = 1.49; CI: 1.32-1.68; p
METHODS: LSAS-J, a 24-item self-reported survey of social phobia and avoidance across various daily situations, was administered to 130 AWS (Mean Age = 41.5 years, SD = 15.8, 111 males) and 114 non-stuttering adults (Mean Age = 39.5, SD = 14.9, 53 males). The test-retest reliability and internal consistency of the LSAS-J were assessed. A between-subject multivariate analysis of variance (MANOVA) was also conducted to determine whether attitude toward social anxiety differed between AWS and AWNS, or by age (<40 and ≥ 40 years old), or sex (female and male).
RESULTS: AWS reported higher scores on both fear subscales of the LSAS-J. Age had no significant influence on the social anxiety levels reported by either participant group. Sex differences were found in the fear subscales, with females scoring higher on both fear subscales, although these were only marginally significant (p = .06). LSAS-J showed good test-retest reliability and high Cronbach's alpha coefficient, indicating that it is an internally consistent measure of attitudes about social anxiety.
CONCLUSION: Given the similarly high incidence of social anxiety in adults in Japan who stutter compared with those in other countries, social anxiety should be identified and assessed during clinical decision making and before decisions are made about stuttering treatment. LSAS-J is an easy tool to administer, and showed reliable results of social phobia and avoidance for AWS.