Gender difference in the relationships between vision and hearing impairments and negative well-being.

OBJECTIVES: To evaluate the association of hearing impairment, vision impairment and their combination (dual sensory impairment) with negative well-being such as depression, subjective poor health and the reduced functional ability in community-dwelling older adults, and to determine whether any association varies by gender. METHODS: Between 2005 and 2006, we objectively examined vision and hearing impairment (using best-corrected visual acuity and pure-tone audiometric test) in 843 people aged 65 years and older (351 males, 492 females) in a rural Japanese town. Through a home visit interview survey using a structured questionnaire, we also collected information on depression (the five-item Geriatric Depression Scale), subjective poor health, and reduced functional activity (the Tokyo Metropolitan Institute of Gerontology's Index of Competence). RESULTS: We observed gender differences in the association between sensory impairment and depression. Multiple logistic regression analysis revealed that hearing impairment in males (adjusted odds ratio: 2.22, 95% confidence interval; 1.07-4.61) and vision impairment in females (1.91, 1.14-3.21) were related to depression. Vision impairment and dual sensory impairment were also associated with subjective poor health and reduced functional activity in both sexes. CONCLUSIONS: Sensory impairment is significantly associated with negative well-being in older persons, and its association with depression may differ between males and females

IRE1-XBP1 Pathway of the Unfolded Protein Response Is Required during Early Differentiation of C2C12 Myoblasts

ArticleInternational Journal of Molecular Sciences. 21(1): 182. (2019)journal articl

Experiments using 100 objects : Comparison of pose representations for pose estimations

パターン認識・メディア理解研究会(PRMU 2009):光と色の解析・表現とその応用 発表資料 ; 開催地:広島大学 ; 開催日:2009年10月22-23

Comparison of Urinary Levels of 8-Hydroxy-2’-deoxyguanosine between Young Females with and without Depressive Symptoms during Different Menstrual Phases

This study aimed to clarify the association between depressive symptoms and a marker of oxidative stress-induced DNA damage in young females. Since the menstrual cycle may confound or modify this association, depressive symptoms and urinary levels of 8-hydroxy-2ʼ deoxyguanosine (8-OHdG) were evaluated during each menstrual phase. A total of 57 female fourth-year students (aged 21.6±0.8) from a Japanese health science university were studied. The menstrual cycle was divided into 3 phases:menstrual (days 1 to 3 after the onset of menses);proliferative (days 13 to 15);and secretory (days 24 to 26). Depressive symptoms were assessed by the self-rating depression scale (SDS). Positive depressive symptoms were defined as a score of 53 or more during 2 different menstrual phases. The association between the presence of depressive symptoms and 8-OHdG levels adjusting for the menstrual cycle was examined by two-way analysis of variance with the menstrual cycle (menstrual, proliferative, and secretory phases) as the within-individual factor. The menstrual cycle did not show a significant correlation with urinary 8-OHdG levels. On the other hand, the menstrual cycle-adjusted 8-OHdG level was significantly higher in those with depressive symptoms (7.01ng/mL) than in those without them (3.98ng/mL). The ROC curve analysis showed that urinary 8-OHdG levels had reasonably high discriminative performance throughout all the menstrual cycles (0.73-0.81;all p＜0.05). These results indicated the presence of oxidative stress in subjects with depressive symptoms independent of the menstrual cycle

Comparison of 3 DOF pose representationsfor pose estimations

The 16th Korea-Japan Joint Workshop on Frontiers of Computer Vision, Poster ; Place : Hiroshima, Japan ; Date : February 4-6, 201

Comparison of 3 DOF pose representationsfor pose estimations

We report a result of an experimental study on properties of pose representations for 3 DOF linear pose estimations with 100 CG objects. We use linear regression as a pose estimation method. First, we explain a method of linear pose estimation and two properties of pose representations. Next, we use four pose representations (rotation matrix, ZYX Eulerangle, exponential map, and unit quaternions), for pose estimation experiments, and compareestimation errors. We show that estimation error of rotation matrix is significantly smaller than other representations by using pairwise t–test