KWKeiko Wada

Keiko Wada

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article


Keiko Wada has a total of 10 co-authors. Here are the top co-authors by number of shared publications:

  • Hiromi Taneichi

    Department of Public Health, Dokkyo Medical University School of Medicine, Shimotsugagun-Mibu, Tochigi, Japan

    1 shared publication
  • Kazumoto Kimura

    Center for Medical Informatics, Dokkyo Medical University Hospital, Shimotsugagun-Mibu, Japan

    1 shared publication
  • Takashi Muto

    Department of Public Health, Dokkyo Medical University School of Medicine, Shimotsugagun-Mibu, Tochigi, Japan

    1 shared publication
  • Takashi Muto

    Department of Public Health, Dokkyo Medical University School of Medicine, Tochigi, Japan

    1 shared publication
  • Toshimi Sairenchi

    Department of Public Health, Dokkyo Medical University School of Medicine, Shimotsugagun-Mibu, Tochigi, Japan

    1 shared publication
  • Toshimi Sairenchi

    Graduate School of Nursing, Dokkyo Medical University, Mibu, Tochigi, Japan; Basic Nursing Medical Science, Dokkyo Medical University School of Nursing, Mibu, Tochigi, Japan

    1 shared publication

Latest Publications

  • Open Access

    Relationship between the Onset of Depression and Stress Response Measured by the Brief Job Stress Questionnaire among Japanese Employees: A Cohort Study

    by Keiko Wada, Toshimi Sairenchi, Yasuo Haruyama, Hiromi Taneichi, Yumiko Ishikawa, Takashi Muto

    The proportion of Japanese workers experiencing intense worry or stress during working life is in excess of 60%, and the incidence of psychiatric disorders and suicide due to psychological burden from work duties is increasing. To confirm whether the stress response measured by the Brief Job Stress Questionnaire (BJSQ) can identify risk for depression, a cohort study was conducted to evaluate whether the stress response measured by BJSQ was associated with the onset of depression. A total of 1,810 participants aged 20–70 years in 2005 completed the stress response of the BJSQ and were followed-up until August, 2007 by examining sick pay records. Depression was defined by a description in sick pay records that included “depression” or “depressive symptoms” as a reason for sick leave according to a physician's medical certificate. The participants were divided into quartiles (Ql, Q2, Q3, and Q4) according to the total stress response score of BJSQ at baseline. Furthermore, the participants were divided into a higher score category (Q4) and a lower score category (Q1–Q3). Risk ratios of the stress response of the BJSQ for onset of depression were calculated using a multivariable Cox proportional hazard model. Among 1,810 participants, 14 developed depression during a mean of 1.8 years of follow-up. The risk ratio was 2.96 (95% confidence interval [CI], 1.04–8.42, p for trend = 0.002) when the higher stress response score category of BJSQ was compared with the low stress response score category for sick leave due to depression. After adjusting for gender, age, marital status, and having children, the risk ratios were similar to no adjustment. These findings suggest that the stress response measured by the BJSQ can demonstrate risk for the onset of depression.


  • Open Access

    Sense of coherence as a predictor of onset of depression among Japanese workers: a cohort study

    by Toshimi Sairenchi, Yasuo Haruyama, Yumiko Ishikawa, Keiko Wada, Kazumoto Kimura, Takashi Muto

    The ability to predict future onset of depression is required for primary prevention of depression. Many cross-sectional studies have reported a correlation between sense of coherence (SOC) and the presence of depressive symptoms. However, it is unclear whether SOC can predict future onset of depression. Therefore, whether measures to prevent onset of depression are needed in for persons with low SOC is uncertain. Thus, the aim of this cohort study was to determine whether SOC could predict onset of depression and to assess the need for measures to prevent onset of depression for persons with low SOC.