Masaki Shinjo
Okinawa Prefectural College of Nursing
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Featured researches published by Masaki Shinjo.
Cancer Science | 2008
Shinya Ikematsu; Akira Nakagawara; Yohko Nakamura; Miki Ohira; Masaki Shinjo; Satoshi Kishida; Kenji Kadomatsu
Neuroblastoma is the third‐most‐common solid tumor of childhood. To date, no reliable blood marker for neuroblastoma has been established. The growth factor midkine is highly expressed in human carcinomas and its knockdown leads to tumor growth suppression in animal models. The present study evaluated the plasma midkine level in human neuroblastoma patients. Plasma samples were obtained from patients found through mass screening, as well as from sporadic neuroblastoma patients. The total number of cases examined was 756. Among them, prognostic information was available for 175 sporadic cases and 287 mass‐screening cases. Midkine levels were significantly higher in neuroblastoma patients, including both mass‐screening cases and sporadic cases, than in non‐tumor controls (P < 0.0001). The midkine level was significantly correlated with the statuses of MYCN amplification, TRKA expression, ploidy, stage and age (P < 0.0001, < 0.0001, = 0.004, < 0.0001 and < 0.0001, respectively), which are known prognostic factors for neuroblastoma. There was a striking correlation between high plasma midkine level and poor prognosis (P < 0.0001). Within sporadic cases, the midkine level was also strikingly higher than in non‐tumor controls (P < 0.0001), and correlated with the statuses of MYCN amplification and stage (P = 0.0005 and = 0.003, respectively). There was a significant correlation between high plasma midkine level and poor prognosis (P = 0.04). Taken together, the present data indicate that plasma midkine level is a prognostic factor for human neuroblastoma. (Cancer Sci 2008; 99: 2070–2074)
Tropical Medicine and Health | 2015
Khin Zay Yar Myint; Daisuke Nonaka; Masamine Jimba; Keiko Nanishi; Krishna C. Poudel; Junko Yasuoka; Masaya Miyagi; Masaki Shinjo; Jun Kobayashi
Weight concerns and dieting are prevalent among female adolescents both in Western and Asian countries. They can result in negative psychological and physiological consequences. This study aimed to examine the relative importance of social and personal factors in the decision to diet among female adolescent students in Japan, applying the Theory of Planned Behavior. Data were collected from five junior high schools and three high schools in Naha City, Okinawa Prefecture, in 2010, through self-administered questionnaires. The data of 756 female students were assessed. The independent variables included social factor variables (norms) and personal factor variables (attitude to dieting, perceived behavior control, body esteem, body-figure discrepancy and past dieting). The dependent variables were dieting intention and behavior. Hierarchical multiple regression analyses were performed to examine three models: model 1 (age and obesity index), model 2 (social factor variables with age and obesity index) and model 3 (all variables). Although model 2 failed to explain a substantial proportion of the variance, model 3 explained approximately a half of the variance for intention (R2 = 0.507) and more than one third of the variance for behavior (R2 = 0.376). Past experience of dieting was the best predictor of both dieting intention and behavior. Body esteem was the second best predictor for dieting behavior. In conclusion, personal factors are more likely than social factors to drive the dieting decision. Diet education programs should consider targeting frequent dieters and those with poor body esteem.
Journal of Epidemiology | 2000
Hideo Tanaka; Masaki Shinjo; Hideaki Tsukuma; Yoshikazu Kawazuma; Saneo Shimoji; Noriko Kinoshita; Toshihiko Morita
Nursing & Health Sciences | 2003
Beverly M. Henry; Reiko Ueda; Masaki Shinjo; Chieko Yoshikawa
Japan Journal of Nursing Science | 2013
Itsuko Akamine; Miyoko Uza; Masaki Shinjo; Eri Nakamori
Japanese Journal of Health and Human Ecology | 2006
Itsuko Akamine; Masaki Shinjo
The Kurume Medical Journal | 2002
Kazuko Nishida; Emiko Watanabe; Rika Kinjo; Masaki Shinjo; Eiki Nishida; Sinzo Kono
PsycTESTS Dataset | 2018
Matsuyo Inoue; Miyoko Uza; Masaki Shinjo; Itsuko Akamine
Creating Healthy Work Environments | 2017
Itsuko Akamine; Masaki Shinjo
Creating Healthy Work Environments | 2017
Masaki Shinjo; Itsuko Akamine