@artikel{Nor2019,
tajuk = {Kelebihan berat badan berlebihan dan obesiti di kalangan kanak-kanak dan remaja dengan gangguan spektrum autisme dan faktor risiko yang berkaitan},
pengarang = {N K Nor dan A H Ghozali dan J Ismail},
url = {https://www.scopus.com/inward/record.uri?eid = 2-s2.0-85064414280&dua = 10.3389% 2kurang.2019.00038&rakan kongsi = 40&md5 = 4bb61b1df043a4adf79618e223d77f26},
doi = {10.3389/fped.2019.00038},
terbitan = {22962360},
tahun = {2019},
tarikh = {2019-01-01},
jurnal = {Sempadan dalam Pediatrik},
isi padu = {7},
nombor = {FEB},
penerbit = {Frontiers Media S.A.},
abstrak = {Pengenalan: Prevalensi obesiti dalam Autism Spectrum Disorder (ASD) telah dilaporkan lebih tinggi daripada pada populasi umum. Menentukan prevalensi dapat membantu meningkatkan kesedaran mengenai kegemukan pada ASD dan berpotensi membawa kepada inisiatif untuk mengurangkan kegemukan. Untuk memahami kegemukan pada kanak-kanak ASD, faktor risiko biasa dinilai termasuk aktiviti fizikal, masalah makan dan gangguan tidur. Kaedah: Ini adalah kajian keratan rentas yang dilakukan di Pusat Perkembangan Kanak-kanak di Pusat Perubatan Universiti Kebangsaan Malaysia pada 151 Kanak-kanak ASD berumur 2-18 tahun. Maklumat antropometrik dan demografi diperoleh dan ibu bapa melengkapkan tiga soal selidik; Soal Selidik Tabiat Tidur Kanak-kanak (CSHQ), Soal Selidik Aktiviti Fizikal untuk Kanak-kanak Tua (PAQ-C) dan Soal Selidik Tingkah Laku Waktu Makan Autisme Ringkas (BAMBI). Keputusan: Untuk kanak-kanak ASD dalam sampel kami, kelaziman berat badan berlebihan (BMI ≥85 hingga < 95th percentiles) was 11.3% and the prevalence of obesity (BMI ≥95th percentile) was 21.9%. The overweight/obese ASD children's median age was higher at 8.5 years (IQR 5.81-10.13) compared to the normal/underweight group of 6.33 years (IQR 4.75-7.7) with a p-value of 0.001. The two groups also differed significantly for maternal BMI and paternal age. The median maternal BMI in the overweight/obese group was 26.05 (IQR 23.35-32.25), statistically significantly higher (p = 0.003) than in the non-overweight/obese group, 24.7 (IQR 21-27.9). The median paternal age of 40 years (IQR 37-44) was statistically significantly higher (p = 0.039) in the overweight/obese group, compared to the median paternal age in the non-overweight/obese group of 38 (IQR 35-42). The male overweight/obese children had median PAQ-C score of 2.44 (IQR 2.00-3.00) vs. 2.89 (IQR 2.35-3.53) in the counterpart group with a p-value of 0.01. Using the multiple linear regression stepwise method, three predictors associated with BMI percentiles reached a statistical level of significance; PAQ-C score in males (p < 0.001), the BAMBI domains of Food Refusal (p = 0.001) and Limited Variety of Food (p = 0.001). Conclusions: The prevalence of obesity and overweight is high among Malaysian ASD children and adolescents. Older child age, high maternal BMI, older paternal age, low physical activity, low likelihood of food refusal and high likelihood of food selectivity were found to be risk factors for high BMI in these children. © 2019 Kamal Nor, Ghozali and Ismail.},
nota = {dipetik oleh 5},
kata kunci = {Remaja, Dewasa, Artikel, Autisme, Berat badan, Soal Selidik Bingkah Lakuan Autisme Ringkas, Pembangunan kanak-kanak, Obesiti Kanak-kanak, Anak-anak, Soal Selidik Tabiat Tidur Kanak-kanak, Kajian Terkawal, Kajian Lintas Bahagian, Kesukaran Memberi Makan, Perempuan, Penolakan Makanan, Manusia, Kajian Klinikal Utama, Orang Malaysia, Lelaki, Ibu, Zaman Bapa, Aktiviti fizikal, Soal Selidik Aktiviti Fizikal untuk Kanak-kanak Tua, Kelaziman, Soal selidik, Faktor risiko, Gangguan Tidur, Berat badan kurang},
pubstate = {diterbitkan},
tppubtype = {artikel}
}

@artikel{Al-Hiyali201886,
tajuk = {Tinjauan dalam mengubah suai tingkah laku pengambilan makanan oleh rangsangan otak: Kes berat badan berlebihan},
pengarang = {M I Al-Hiyali dan A J Ishak dan H Harun dan S A Ahmad dan W A Wan Sulaiman},
url = {https://www.scopus.com/inward/record.uri?eid = 2-s2.0-85062843670&doi = 10.14704% 2fnq.2018.16.12.1894&rakan kongsi = 40&md5 = 235f66cef05a144be23472641f70bd1d},
doi = {10.14704/nq.2018.16.12.1894},
terbitan = {13035150},
tahun = {2018},
tarikh = {2018-01-01},
jurnal = {Kuantologi Neuro},
isi padu = {16},
nombor = {12},
halaman = {86-97},
penerbit = {Penerbit Anka},
abstrak = {Obesiti dan berat badan berlebihan sering ditetapkan untuk disfungsi dalam tingkah laku pengambilan makanan. Kerana banyaknya kegemukan pada tahun lalu, terdapat permintaan untuk lebih banyak kajian yang bertujuan untuk mengubah tingkah laku pengambilan makanan. Selama beberapa dekad yang lalu, banyak kajian telah dilakukan untuk mengubah pengambilan makanan melalui latihan otak atau rangsangan. Ulasan ini untuk kajian neurosains dalam mengubah tingkah laku pengambilan makanan, ia melibatkan tiga bahagian; Bahagian pertama menjelaskan peranan aktiviti otak dalam peraturan pengambilan makanan, idea umum mengenai alat bioperubatan dalam tingkah laku pengambilan makanan dibincangkan di bahagian kedua dan bahagian ketiga yang difokuskan pada sistem rangsangan otak. Akhirnya, makalah ini disimpulkan dengan perkara utama yang perlu diambil kira semasa merancang kajian eksperimental untuk mengubah tingkah laku pengambilan makanan oleh rangsangan otak mengikut cadangan dan cabaran kajian sebelumnya. © 2018, Penerbit Anka. Hak cipta terpelihara.},
nota = {dipetik oleh 2},
kata kunci = {Amygdala, Anoksia, Artikel, Autisme, Gangguan pesta minum-minum makan, Berat badan, Berat badan, Rangsangan Kedalaman Otak, Depolarisasi, Pengambilan diet, Keinginan Dadah, Gangguan Makan, Arus elektrik, Elektroencephalogram, Elektroensefalografi, Penggunaan tenaga, Penggunaan tenaga, Tingkah Laku Makan, Pengambilan makanan, Pengimejan Resonans Magnetik Berfungsi, Jantina, Status kesihatan, Homeostasis, Manusia, Kelaparan, Gaya hidup, Potensi Mantap Membran Sel Saraf, Keseronokan Saraf, Neurofeedback, Neuromodulasi, Penilaian Pemakanan, Penilaian Hasil, Soal selidik, Rangsangan Magnetik Transkranial Berulang, Pemprosesan isyarat, Latihan, Rangsangan Arus Langsung Transkranial, Rangsangan Magnetik Transkranial, Berat badan kurang},
pubstate = {diterbitkan},
tppubtype = {artikel}
}

@artikel{Masiran2018b,
tajuk = {Autisme dan trikotilomania dalam remaja lelaki},
pengarang = {R Diurut},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85053164449&doi = 10.1136% 2fbcr-2018-226270&rakan kongsi = 40&md5=7eed3f6af717df527dce73838feab571},
doi = {10.1136/bcr-2018-226270},
terbitan = {1757790X},
tahun = {2018},
tarikh = {2018-01-01},
jurnal = {Laporan Kes BMJ},
isi padu = {2018},
penerbit = {Kumpulan Penerbitan BMJ},
abstrak = {Remaja yang mengalami gangguan spektrum autisme dan gangguan hiperaktif kekurangan perhatian yang tidak dirawat dengan betul ditunjukkan dengan tarikan rambut berulang. Rawatan dengan perencat pengambilan semula serotonin terpilih dan perangsang memperbaiki keadaan ini. © © BMJ Publishing Group Limited 2018.},
nota = {dipetik oleh 0},
kata kunci = {Remaja, Alopecia, Keresahan, Artikel, Gangguan Defisit Perhatian, Gangguan Hiperaktifan Kekurangan Perhatian, Autisme, Gangguan Spektrum Autisme, Gangguan Tingkah Laku, Berat badan, Laporan kes, Perangsang Sistem Saraf Pusat, Senarai Semak Tingkah Laku Kanak-kanak, Artikel Klinikal, komorbiditi, Komplikasi, Diagnosis, Berbeza, Diagnosis pembezaan, Pentitratan Dos Ubat, Toleransi Dadah, DSM-5, Echolalia, Fluvoxamine, Susulan, Manusia, Hiperaktif, Kemerosotan Intelektual, Lelaki, Metilfenidat, Obesiti, Terapi pekerjaan, Indeks Penaakulan Persepsi, Jurnal Keutamaan, Indeks Kelajuan Pemprosesan, Skala Penarafan Status Psikiatri, Skala Penarafan Psikologi, Skala penilaian, Kegelisahan, Ganjaran, Perencat Serapan Serotonin, Perencat Serapan Serotonin, Pendidikan Khas, Kelewatan Pertuturan, Gangguan Pertuturan, Terapi ucapan, Trikotilomania, Indeks Kefahaman Lisan, Skala Kepintaran Wechsler, Indeks Memori Bekerja},
pubstate = {diterbitkan},
tppubtype = {artikel}
}

@artikel{Hasan201755,
tajuk = {Analisis daya tindak balas tanah tiga dimensi semasa berjalan pada kanak-kanak dengan gangguan spektrum autisme},
pengarang = {C Z C Hasan and R Jailani and N Md Tahir and S Ilias},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015640386&doi = 10.1016% 2fj.ridd.2017.02.015&rakan kongsi = 40&md5=d6a9839cda7f62bcce9bdcca33d3d33b},
doi = {10.1016/j.ridd.2017.02.015},
terbitan = {08914222},
tahun = {2017},
tarikh = {2017-01-01},
jurnal = {Penyelidikan Ketidakupayaan Pembangunan},
isi padu = {66},
halaman = {55-63},
penerbit = {Elsevier Inc.},
abstrak = {Maklumat minimum diketahui tentang tiga dimensi (3D) daya tindak balas tanah (GRF) mengenai corak gaya berjalan individu yang mengalami gangguan spektrum autisme (ASD). Tujuan kajian ini adalah untuk menyiasat sama ada komponen GRF 3D berbeza secara signifikan antara kanak-kanak dengan ASD dan kawalan rakan sebaya.. 15 kanak-kanak dengan ASD dan 25 biasanya berkembang (TD) kanak-kanak telah mengambil bahagian dalam kajian ini. Dua plat daya digunakan untuk mengukur data GRF 3D semasa berjalan. Teknik parameterisasi siri masa telah digunakan untuk mengekstrak 17 ciri diskret daripada bentuk gelombang GRF 3D. Dengan menggunakan ujian-t bebas dan ujian Mann-Whitney U, perbezaan yang ketara (hlm < 0.05) between the ASD and TD groups were found for four GRF features. Children with ASD demonstrated higher maximum braking force, lower relative time to maximum braking force, and lower relative time to zero force during mid-stance. Children with ASD were also found to have reduced the second peak of vertical GRF in the terminal stance. These major findings suggest that children with ASD experience significant difficulties in supporting their body weight and endure gait instability during the stance phase. The findings of this research are useful to both clinicians and parents who wish to provide these children with appropriate treatments and rehabilitation programs. © 2017 Elsevier Ltd},
nota = {dipetik oleh 8},
kata kunci = {Taburan Umur, Artikel, Autisme, Gangguan Spektrum Autisme, Fenomena Biomekanikal, Biomekanik, Keseimbangan Badan, Tinggi Badan, Berat badan, Berat badan, Anak-anak, Artikel Klinikal, Kajian Terkawal, Penilaian Penyakit, Perempuan, Langkah, Analisis Gait, Gangguan Gaya Berjalan, Angkatan Tindak Balas Tanah, Manusia, Pengimejan, Panjang Kaki, Malaysia, Lelaki, Pemeriksaan Neurologi, Patofisiologi, Fisiologi, Keseimbangan Postur, Prosedur, Psikologi, Statistik, Tiga Dimensi, Pengimejan Tiga Dimensi, Daya Tindak Balas Tanah Tiga Dimensi, berjalan},
pubstate = {diterbitkan},
tppubtype = {artikel}
}

@artikel{Hasan201774,
tajuk = {Use of statistical approaches and artificial neural networks to identify gait deviations in children with autism spectrum disorder},
pengarang = {C Z C Hasan and R Jailani and N Md Tahir},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85043500605&rakan kongsi = 40&md5=6f2ffe7c2f5daf9fd02d4456acb94438},
terbitan = {19984510},
tahun = {2017},
tarikh = {2017-01-01},
jurnal = {International Journal of Biology and Biomedical Engineering},
isi padu = {11},
halaman = {74-79},
penerbit = {North Atlantic University Union NAUN},
abstrak = {Automated differentiation of ASD gait from normal gait patterns is important for early diagnosis as well as ensuring rapid quantitative clinical decision and appropriate treatment planning. This study explores the use of statistical feature selection approaches and artificial neural networks (ANN) for automated identification of gait deviations in children with ASD, on the basis of dominant gait features derived from the three-dimensional (3D) joint kinematic data. The gait data from 30 ASD children and 30 normal healthy children were measured using a state-of-the-art 3D motion analysis system during self-selected speed barefoot walking. Kinematic gait features from the sagittal, frontal and transverse joint angles waveforms at the pelvis, hip, knee, and ankle were extracted using time-series parameterization. Two statistical feature selection techniques, namely the between-group tests (independent samples t-test and Mann-Whitney U test) and the stepwise discriminant analysis (SWDA) were adopted as feature selector to select the meaningful gait features that were then used to train the ANN. The 10-fold cross-validation test results indicate that the selected gait features using SWDA technique are more reliable for ASD gait classification with 91.7% ketepatan, 93.3% kepekaan, dan 90.0% kekhususan. The findings of the current study demonstrate that kinematic gait features with the combination of SWDA feature selector and ANN classifier would serve as a potential tool for early diagnosis of gait deviations in children with ASD as well as provide support to clinicians and therapists for making objective, accurate, and rapid clinical decisions that lead to the appropriate targeted treatments. © 2017 North Atlantic University Union NAUN. Hak cipta terpelihara.},
nota = {dipetik oleh 1},
kata kunci = {Artikel, Artificial Neural Network, Autisme, Tinggi Badan, Berat badan, Anak-anak, Artikel Klinikal, Kajian Terkawal, Analisis Diskriminan, Early Diagnosis, Perempuan, Langkah, Analisis Gait, Gangguan Gaya Berjalan, Manusia, Belajar, Lelaki, Pediatrics, Budak sekolah, Statistical Analysis, Statistik, Time Series Analysis},
pubstate = {diterbitkan},
tppubtype = {artikel}
}