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"Kebutuhan perawatan dan status kesehatan gigi dan mulut tuna netra di Phitsanuloke, Thailand. Tidak banyak informasi mengenai status kesehatan gigi dan mulut pada tuna netra di Thailand. Tujuan: Menganalisa status dan kebutuhan perawatan kesehatan gigi dan mulut pada tuna netra di Thailand. Metode: Subjek penelitian ini adalah 146 tuna netra (70 laki-laki dan 76 perempuan dengan rerata umur 48,8±5,9) yang bertempat tinggal di Phitsanuloke, Thailand. Kuesioner digunakan untuk mendapatkan informasi mengenai persepsi subjektifmasalah kesehatan gigi dan mulut, fungsi oral dan perilaku. Pemeriksaan oral dilakukan untuk menganalisa Decay Missing Filling Teeth (DMFT), Simplified Oral Hygiene Index (OHIS) dan prosthetic needs index. Hasil: Rerata DMFT subjek yang diperiksa adalah 16 (DT=4,4, MT=10,2, FT=1,4), rerata jumlah gigi yang masih ada 15,5. 35% memerlukan tambalan gigi dan 12,3% membutuhkan pencabutan gigi. 34,8% memiliki penyakit periodontal dengan rerata OHIS 2,52. 38% subjek membutuhkan gigi tiruan sebagian atas dan bawah. Tuna netra mengalami masalah fungsi oral (masalah dalam berbicara 26,5%, masalah penelanan 32,6%, masalah pengecapan 29,2% dan masalahpengunyahan 45,2%). Simpulan: Status kesehatan gigi dan mulut tuna netra rendah karena kehilangan gigi yang banyak, karies dan penyakit periodontal. Oleh karena itu sangatlah penting untuk memliki pendekatan program preventif yang tepat untuk meningkatkan kesehatan gigi dan mulut populasi tersebut.

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There is little information on the oral health status of visual impairment in Thailand. Objective: To investigate the oral health status and dental treatment needs of visual impaired Thai. Method: The subjects were 146 visual impairment (70 males and 76 females, mean age 48.8 ± 5.9), who live in Phitsanuloke, Thailand. Information on self-perceived oral health problems, oral function and oral health behavior was obtained via questionnaires. Oral examinations investigated the Decay Missing Filling Teeth (DMFT), Simplified Oral Hygiene Index (OHIS) andprosthetic needs index. Results: The mean DMFT score was 16.0 (DT=4.4, MT=10.2, FT=1.4), the mean number of teeth present was 15.5. 35% of subjects needed dental fillings and 12.3% required tooth extractions. 34.8% had periodontal disease and mean OHIS score were 2.52. Thirty-eight percent of subjects need both upper and lower partial dentures. Visual impaired suffer from oral function problems (speaking problem 26.5%, swallowing problem 32.6%, tasting problem 29.2% and chewing problem 45.2%). Conclusion: The oral health status of visual impairment was poor due to high levels of tooth loss, caries experience and periodontal disease. Therefore, it is important to have a proper preventive approach and service delivery programs to improve the oral health condition of this population."

"Sarafino draws from the research and theory of many disciplines in order to show psychologists how psychology and health affect each other. The new edition has been updated to include new research and data. New discussions are included on health care systems. Significant new information is also presented on prevention and intervention, especially for teens? risky behaviors. In addition, international examples are included to broaden the psychologist?s view of health issues around the world and highlight what works in the field."

"ABSTRAKUnder the Japan Indonesia Economic Partnership Agreement, more than 1,000 of Indonesian health care workers have migrated to Japan. Social adjustment during the process of migration is linked to mental health changes. This study aimed to figure out the strongest predictor that influences the change in mental health status as a result of migration. Baseline data were collected in Jakarta in 2013 during predeparture orientation. Follow up study was conducted one year after the study participants migrated to Japan in 2014. Using longitudinal design, this study employed 92 participants consisting of nurse and certified care worker candidates. The multiple linear regression analysis was conducted to figure out the predictors that influence the change in mental health status. The prediction model expected to explain 39.9% of the change in mental health status, p value < 0.01, while sex (b = 0.201, p value < 0.05), economic conditions in pre migration (b = -0.200, p value < 0.05), and the socio cultural adaptation competency (b = -0.238, p value < 0.05). This finding assumed that female candidates and those who have economic constraint in pre migration stage, and those who have declining in socio cultural adaptation competency tend to have lower mental health one year after the migration."