Chinese-adapted youth attitude to noise scale: evaluation of validity and reliability

Noise Health. 2014 Jul-Aug;16(71):218-22. doi: 10.4103/1463-1741.137055.

Abstract

Noise exposure is central to hearing impairment, especially for adolescents. Chinese youth frequently and consciously expose themselves to loud noise, often for many hours. Hence, a Chinese-adapted evaluative scale to measure youth's attitude toward noise could rigorously evaluate data validity and reliability. After authenticating the youth attitude to noise scale (YANS) originally developed by Olsen and Erlandsson, we purposively sampled and surveyed 642 freshmen at Capital Medical University in Beijing, China. To establish validity, we conducted confirmatory factor analysis according to Olsen's classification. To establish reliability, we calculated Cronbach's alpha coefficient and split-half coefficient. We used Bland-Altman analysis to calculate the agreement limits between test and retest. Among 642 students, 550 (85.67%) participated in statistical analysis (399 females [72.55%] vs. 151 males [27.45%]). Confirmatory factorial analysis sorted 19 items into four main subcategories (F1-F4) in terms of factor load, yielding a correlation coefficient between factors <0.40. The Cronbach's alpha coefficient (0.70) was within the desirable range, confirming the reliability of Chinese-adapted YANS. The split-half coefficient was 0.53. Furthermore, the paired t-test reported a mean difference of 0.002 (P = 0.9601). Notably, the mean overall YANS score (3.46) was similar to YANS testing in Belgium (3.10), but higher than Sweden (2.10) and Brazil (2.80). The Chinese version of the YANS questionnaire is valid, reliable, and adaptable to Chinese adolescents. Analysis of the adapted YANS showed that a significant number of Chinese youth display a poor attitude and behavior toward noise. Therefore, Chinese YANS can play a pivotal role in programs that focus on increasing youth awareness of noise and hearing health.

MeSH terms

  • Adolescent
  • Attitude to Health*
  • Factor Analysis, Statistical
  • Female
  • Humans
  • Male
  • Noise*
  • Reproducibility of Results
  • Surveys and Questionnaires
  • Young Adult