METHOD: A set of three psychophysics conditions of hearing (critical band spectral estimation, equal loudness hearing curve, and the intensity loudness power law of hearing) is used to estimate the auditory spectrum. The auditory spectrum and all-pole models of the auditory spectrums are computed and analyzed and used in a Gaussian mixture model for an automatic decision.
RESULTS: In the experiments using the Massachusetts Eye & Ear Infirmary database, an ACC of 99.56% is obtained for pathology detection, and an ACC of 93.33% is obtained for the pathology classification system. The results of the proposed systems outperform the existing running-speech-based systems.
DISCUSSION: The developed system can effectively be used in voice pathology detection and classification systems, and the proposed features can visually differentiate between normal and pathological samples.
METHODS: A cross-sectional study was conducted among 128 caregivers of children with ASD in Kota Bharu, Kelantan from May to August 2020, using convenience sampling. Validated questionnaires were used to assess the knowledge and attitudes toward children with ASD. The data were analyzed using SPSS version 24. Descriptive statistics and simple and multiple logistic regression analyses were then performed.
RESULTS: The response rate was 100%. The proportion of good knowledge and attitudes toward children with ASD among caregivers was 85.1% and 88.3%, respectively. Factors significantly associated with good knowledge were being female (OR (95% CI) 2.79 [0.99-7.90]) and ASD children being non-first-born children (OR (95% CI) 0.41 [0.15-1.12]). Factors significantly associated with good attitudes were age of 30 years and older (OR (95% CI) 0.13 [0.03-0.62]) and caregiver having other children with other types of learning difficulties (OR (95% CI) 0.15 [0.04, 0.52]).
CONCLUSIONS: The proportion of caregivers with good knowledge of ASD and good attitudes toward children with ASD was high. The caregiver's age and sex, the position of the ASD child among the siblings, and the presence of other types of learning disorders in the family need to be considered when managing children with ASD.
METHOD: A cross-sectional study at government preschools in Kota Setar District was conducted from February to April 2020. Selection of preschools and students was done using multistage simple randomisation. A self-administered questionnaire containing demographic and digital device use details was filled by parents.
RESULTS: The prevalence of digital device use among preschool children was 95.9% and mostly used smartphones (94.2%). Most children (95%) did not own the device, and usage was under supervision (95.7%). The reason for supervision was to prevent exposure to inappropriate content (70.5%). The common reasons for allowing digital device use were for educational (37.4%) and entertainment purposes (36%) through videos (30.9%) and games (30.2%). Approximately 21.5% and 50.3% of the children spent more than 1 and 2 hours on digital devices during weekdays and weekends, respectively.
CONCLUSION: The prevalence of digital device use among the preschool children in Kota Setar District was very high. Most of them used digital devices for educational and entertainment purposes under parental supervision. However, some exceeded the recommended screen time on weekends. These findings could promote awareness of digital device use among young children and help design public health awareness programmes and future policies.
METHODS: This randomized controlled trial was conducted to observe the effect of WAAP on asthma control and quality of life using the Asthma Control Questionnaire and Pediatric Asthma Quality of Life Questionnaire (PAQLQ) at baseline and after 3 months. A repeated measure analysis of variance was used to analyze the mean score difference between the two groups.
RESULTS: There was no significant difference in mean score for asthma control at baseline between groups (F[degree of freedom (df)]=1.17 [1, 119], P=0.282). However, at 3 months, a significant difference in mean scores between groups was observed (F[df]=7.32 [1, 119], P=0.008). The mean±standard deviation (SD) scores in the intervention and control groups were 0.96±0.53 and 1.21±0.49, respectively. For the analysis of the PAQLQ, no significant difference was observed in the mean score for the quality of life baseline in both groups. There were significant mean score changes for the quality of life (F[df]=10.9 [1, 119], P=0.001) at 3 months follow-up, where those in the intervention group scored a mean±SD score of 6.19±0.45, and those in the control group scored 5.94±0.38. A time-group interaction analysis using repeated-measures analysis of variance showed significant differences in mean score changes (F[df]=5.03 [1, 116], P=0.027) and (F[df]=11.55 [1, 116], P=0.001) where a lower mean score was observed in the intervention group, indicating better asthma control and quality of life, respectively. A significant (P<0.001) negative Pearson correlation between asthma control and quality of life (-0.65) indicated a moderate correlation.
CONCLUSION: WAAP, along with standard asthma treatment, improves asthma care.
METHODS: A cross-sectional survey was conducted on 241 adults. The data were collected using the FINDRISC questionnaire followed by calculation of a summated score and analysis to determine the association between the risk factors under study and the risk of developing diabetes.
RESULTS: Out of 241 study participants, 137 (56.8%) were men and 104 (43.1%) were women. Our study showed that 129 (53.5%) participants had low risk, 68 (28.2%) had slightly elevated risk, 27 (11.2%) had moderate risk and 17 (7%) had high risk of developing DM.
CONCLUSION: The general population should be educated about the importance of healthy lifestyle, with special emphases on maintaining an ideal body mass index and a low-risk waist circumference, along with daily fruit and vegetable intake and physical activity of at least 30 min/day.