Objective: This study aims to statistically clarify the association between disability characteristics and school refusal in school-aged children with Autism Spectrum Disorder (ASD).Methods: The subjects were 158 school-aged children with ASD who were prescribed rehabilitation at Narita Hospital of International University of Health and Welfare. The following information was collected from medical records: presence or absence of school refusal, age, gender, the Autism Screening Questionnaire (ASQ) scores, result of the Wechsler Intelligence Test 4th version, the Sensory Profile (SP) scores, the Liebowitz Social Anxiety Scale for Children and Adolescents scores, decline in family functions, bullying, and enrolled class. Poisson regression analysis was conducted using both crude and adjusted models. School refusal was the dependent variable, while ASQ and SP subcategories were the independent variables. Age and other factors were used as covariates in the adjusted model.Results: The “sensory avoidance” of the SP subcategory was significantly associated with school refusal in both the crude and adjusted models (odds ratio, 95% confidence interval: 1.03, 1.01-1.05, 1.03, 1.00-1.05, respectively).Conclusion: Analysis of the association between disability characteristics and school refusal in school-aged children with ASD suggests that sensory processing deficits are associated with school refusal.

Objective: This study aims to statistically clarify the association between disability characteristics and school refusal in school-aged children with Autism Spectrum Disorder (ASD).Methods: The subjects were 158 school-aged children with ASD who were prescribed rehabilitation at Narita Hospital of International University of Health and Welfare. The following information was collected from medical records: presence or absence of school refusal, age, gender, the Autism Screening Questionnaire (ASQ) scores, result of the Wechsler Intelligence Test 4th version, the Sensory Profile (SP) scores, the Liebowitz Social Anxiety Scale for Children and Adolescents scores, decline in family functions, bullying, and enrolled class. Poisson regression analysis was conducted using both crude and adjusted models. School refusal was the dependent variable, while ASQ and SP subcategories were the independent variables. Age and other factors were used as covariates in the adjusted model.Results: The “sensory avoidance” of the SP subcategory was significantly associated with school refusal in both the crude and adjusted models (odds ratio, 95% confidence interval: 1.03, 1.01-1.05, 1.03, 1.00-1.05, respectively).Conclusion: Analysis of the association between disability characteristics and school refusal in school-aged children with ASD suggests that sensory processing deficits are associated with school refusal.

Background/Aims: Chronic constipation and lifestyle factors can affect sleep quality. We evaluated the relationship between chronic constipation and sleep in the Japanese population. Methods: This cross-sectional internet-based survey included 3000 subjects with constipation, classified according to sleep status (good/poor).Primary endpoints were Bristol stool form scale (BSFS) score and correlations between sleep disorder criteria of the Pittsburgh Sleep Quality Index (PSQI) and sleep status (good/poor sleep). Secondary endpoints included correlations between quality of life (QOL) and mood, medical, lifestyle, and sleep factors. Results: The proportion of participants with BSFS category 4 (normal stool) was significantly higher in the good sleep group (P < 0.001). Sleep disturbance (P < 0.05), sleep quality, and duration, use of hypnotic medication, and daytime dysfunction of PSQI (all P < 0.001) significantly correlated with poor sleep. In the poor sleep group, QOL was significantly worse and anxiety and depression levels were significantly higher (allP < 0.001) compared with the good sleep group. Anemia and smoking (both P < 0.05), recent body weight increases, and poor eating habits (all P < 0.001) were significantly higher in the poor sleep group. Male sex, onset associated with change in frequency of stools, sensation of incomplete evacuation for at least 25% of defecations, and manual maneuvers to facilitate at least 25% of defecations correlated with poor sleep. Conclusions Subjects with constipation and poor sleep experienced severe symptoms and had poor QOL. These data support the need for a multifocal treatment approach, including lifestyle advice and pharmacotherapy.

Background/Aims: Chronic constipation and lifestyle factors can affect sleep quality. We evaluated the relationship between chronic constipation and sleep in the Japanese population. Methods: This cross-sectional internet-based survey included 3000 subjects with constipation, classified according to sleep status (good/poor).Primary endpoints were Bristol stool form scale (BSFS) score and correlations between sleep disorder criteria of the Pittsburgh Sleep Quality Index (PSQI) and sleep status (good/poor sleep). Secondary endpoints included correlations between quality of life (QOL) and mood, medical, lifestyle, and sleep factors. Results: The proportion of participants with BSFS category 4 (normal stool) was significantly higher in the good sleep group (P < 0.001). Sleep disturbance (P < 0.05), sleep quality, and duration, use of hypnotic medication, and daytime dysfunction of PSQI (all P < 0.001) significantly correlated with poor sleep. In the poor sleep group, QOL was significantly worse and anxiety and depression levels were significantly higher (allP < 0.001) compared with the good sleep group. Anemia and smoking (both P < 0.05), recent body weight increases, and poor eating habits (all P < 0.001) were significantly higher in the poor sleep group. Male sex, onset associated with change in frequency of stools, sensation of incomplete evacuation for at least 25% of defecations, and manual maneuvers to facilitate at least 25% of defecations correlated with poor sleep. Conclusions Subjects with constipation and poor sleep experienced severe symptoms and had poor QOL. These data support the need for a multifocal treatment approach, including lifestyle advice and pharmacotherapy.

Background: Exercise training induces various adaptations in skeletal muscles. However, the mechanisms remain unclear. Purpose: Therefore, we conducted 2D-DIGE proteomic analysis, which has not yet been used for elucidating adaptations of skeletal muscle after low-intensity exercise training (LIT). Methods: For five days, rats performed LIT, which consisted of two 3-h swimming exercise with45-m rest between the exercise bouts. 2D-DIGE analysis was conducted on epitrochlearis muscles excised eighteen hours after the final training exercise. Results: Proteomic profiling revealed that, out of 681 detected and matched spots, 22 proteins exhibited changed expression by LIT compared with sedentary rats. All proteins were identified by MALDI-TOF/MS. Conclusion: The proteomic 2D-DIGE analysis following LIT identified expressions of skeletal muscle proteins, includingATPsynα, UQCRC1, dihydrolipoamide dehydrogenase, dihydrolipoamide acetyltransferase, that were not previously reported to change their expressions after exercise-training.