OBJECTIVE: The purpose was to identify and describe the patterns of asthma control perception in relation to actual symptom reports in adolescents and to compare the group with accurate control perception with those of inaccurate perception in relationship to sociodemographic characteristics, illness-related factors, and psychosocial factors. METHODS: A sample of 126 adolescents from 13 through 20 years of age participated in the study. Patterns of control perception were constructed based on participants' rating of their perception of asthma control and self-reported asthma symptoms using Latent Class Analysis. Analyses of variance (ANOVAs) and multinomial logistic regressions were computed for group comparisons. RESULTS: Participants were classified into four groups according to the patterns of control perception. Accurate groups were divided into either the well-controlled (62%) or the poorly-controlled group (7%), and inaccurate groups were manifested inaccuracy either with nighttime symptoms (25%) or daytime symptoms (6%). Minority participants (p < 0.001) or those with low socioeconomic status (p < 0.001) were more likely to be represented in the inaccurate group than their counterparts. The well-controlled accurate group consistently reported higher asthma-related knowledge (p = 0.02), more positive attitude toward asthma (p < 0.001), fewer barriers to self-management (p = 0.04), and higher quality of life (p < 0.001) than the inaccurate group. CONCLUSION: This study demonstrated that accuracy of asthma control perception can be classified into four criteria based on patterns of various asthma symptoms. Adolescents' tendency toward underperception was evident. The inaccurate groups are at greater risk for psychosocial impairments. This study underscores the importance of an intervention that improves the accuracy of asthma control perception in adolescents while promoting psychosocial well-being among adolescents with inaccurate perception.
OBJECTIVE: The purpose was to identify and describe the patterns of asthma control perception in relation to actual symptom reports in adolescents and to compare the group with accurate control perception with those of inaccurate perception in relationship to sociodemographic characteristics, illness-related factors, and psychosocial factors. METHODS: A sample of 126 adolescents from 13 through 20 years of age participated in the study. Patterns of control perception were constructed based on participants' rating of their perception of asthma control and self-reported asthma symptoms using Latent Class Analysis. Analyses of variance (ANOVAs) and multinomial logistic regressions were computed for group comparisons. RESULTS:Participants were classified into four groups according to the patterns of control perception. Accurate groups were divided into either the well-controlled (62%) or the poorly-controlled group (7%), and inaccurate groups were manifested inaccuracy either with nighttime symptoms (25%) or daytime symptoms (6%). Minority participants (p < 0.001) or those with low socioeconomic status (p < 0.001) were more likely to be represented in the inaccurate group than their counterparts. The well-controlled accurate group consistently reported higher asthma-related knowledge (p = 0.02), more positive attitude toward asthma (p < 0.001), fewer barriers to self-management (p = 0.04), and higher quality of life (p < 0.001) than the inaccurate group. CONCLUSION: This study demonstrated that accuracy of asthma control perception can be classified into four criteria based on patterns of various asthma symptoms. Adolescents' tendency toward underperception was evident. The inaccurate groups are at greater risk for psychosocial impairments. This study underscores the importance of an intervention that improves the accuracy of asthma control perception in adolescents while promoting psychosocial well-being among adolescents with inaccurate perception.
Authors: Sande O Okelo; Albert W Wu; Jerry A Krishnan; Cynthia S Rand; Elizabeth A Skinner; Gregory B Diette Journal: J Pediatr Date: 2004-10 Impact factor: 4.406
Authors: Ruchi S Gupta; Claudia H Lau; Christopher M Warren; Alexandra Lelchuk; Amber Alencar; Elizabeth E Springston; Jane L Holl Journal: J Community Health Date: 2013-06
Authors: Yasir Tarabichi; Jake Goyden; Rujia Liu; Steven Lewis; Joseph Sudano; David C Kaelber Journal: J Am Med Inform Assoc Date: 2020-01-01 Impact factor: 4.497