METHODS: Participants were part of a prospective birth cohort study that recruited 1,247 pregnant women (57.2% Chinese, 25.5% Malay, and 17.3% Indian) during their first trimester. The 1,220 participants were followed up 3 weeks postpartum at home when questionnaires were administered to ascertain the frequency of adherence to the following confinement practices: showering; confinement-specific meals; going out with or without the baby; choice of caregiver assistance; and the use of massage therapy.
RESULTS: Most participants reported that they followed confinement practices during the first 3 weeks postpartum (Chinese: 96.4%, Malay: 92.4%, Indian: 85.6%). Chinese and Indian mothers tended to eat more special confinement diets than Malay mothers (p < 0.001), and Chinese mothers showered less and were more likely to depend on confinement nannies during this period than mothers from the two other ethnic groups (p < 0.001 for all). Malay mothers tended to make greater use of massage therapy (p < 0.001), whilst Indian mothers tended to have their mothers or mothers-in-law as assistant caregivers (p < 0.001).
CONCLUSION: Most Singapore mothers follow confinement practices, but the three Asian ethnic groups differed in specific confinement practices. Future studies should examine whether ethnic differences persist in later childrearing practices.
MATERIALS AND METHODS: The EEG signal was used as a brain response signal, which was evoked by two auditory stimuli (Tones and Consonant Vowels stimulus). The study was carried out on Malaysians (Malay and Chinese) with normal hearing and with hearing loss. A ranking process for the subjects' EEG data and the nonlinear features was used to obtain the maximum classification accuracy.
RESULTS: The study formulated the classification of Normal Hearing Ethnicity Index and Sensorineural Hearing Loss Ethnicity Index. These indices classified the human ethnicity according to brain auditory responses by using numerical values of response signal features. Three classification algorithms were used to verify the human ethnicity. Support Vector Machine (SVM) classified the human ethnicity with an accuracy of 90% in the cases of normal hearing and sensorineural hearing loss (SNHL); the SVM classified with an accuracy of 84%.
CONCLUSION: The classification indices categorized or separated the human ethnicity in both hearing cases of normal hearing and SNHL with high accuracy. The SVM classifier provided a good accuracy in the classification of the auditory brain responses. The proposed indices might constitute valuable tools for the classification of the brain responses according to the human ethnicity.