Skip to main content
  • Research article
  • Open access
  • Published:

Potential predictors of susceptibility to occupational stress in Japanese novice nurses - a pilot study

Abstract

Background

Occupational stress is a known factor behind employee resignations; thus, early identification of individuals prone to such stress is important. Accordingly, in this pilot study we evaluated potential predictors of susceptibility to occupational stress in Japanese novice nurses.

Methods

Forty-two female novice nurses at Kagoshima University Hospital were recruited for the study population. Each underwent physical health and urinary examinations, and completed a lifestyle questionnaire at the time of job entry. Each also completed a Brief Job Stress Questionnaire (BJSQ), related to mental health status, at job entry and 5 months post-entry. Psychological stress, somatic symptoms, and combined BJSQ scores were determined for each time point.

Results

All three stress condition scores had significantly decreased at 5 months post-entry, suggesting occupational stress. Systolic blood pressure (r = −0.324, p < 0.05) and urinary sodium (r = −0.313, p < 0.05) were significantly negatively correlated with combined BJSQ score at 5 months post-entry. Post-entry stress condition scores were significantly low in subjects reporting substantial 1-year body weight change (≤ ± 3 kg) and short times between dinner and bedtimes (≤2 h), though baseline stress condition scores were not. Urinary sodium concentration, 1-year body weight change, and pre-sleep evening meals were then targeted for multivariate analysis, and confirmed as independent explanatory variables for post-entry stress condition scores.

Conclusions

One-year body weight change, times between dinner and bedtimes, and urinary sodium concentration are promising potential predictors of susceptibility to occupational stress, and should be further investigated in future research.

Trial registration

ISRCTN ISRCTN17516023. Retrospectively registered 7 December 2016.

Background

Occupational stress is known as an important factor affecting workers’ physical and mental health [1,2,3]. Overly stressful conditions may result in resignations and subsequently increased employee turnover [4, 5]. Research in Japan’s nursing sector has found that protecting new employees from occupational stress is important for reducing such turnover [6, 7]. When new employees with potentially high susceptibility to occupational stress are identified at an early stage, it is easier to safeguard them from stressors and potentially stressful situations. Intrinsic, pre-employment factors are known to play an important role in stress in addition to extrinsic, work-related factors [8,9,10], suggesting occupational stress forms a distinct part of an individual’s stress burden. Accordingly, methods to evaluate individual susceptibility to occupational stress are clearly beneficial for formulating strategies to reduce employee turnover. However, such methods remain to be elucidated.

A self-administered Brief Job Stress Questionnaire (BJSQ) forms the basis of mental assessments in statutory annual health examinations for Japanese workers. These assessments focus on occupational stress, and since 2015 have been legally required in Japan in addition to physical health assessments. The BJSQ was originally developed by the Ministry of Health, Labour and Welfare, Japan and contains 57 items classified into three categories: A (measurement for job stressors), B (measurement for psychophysical complaints), and C (measurement for support for workers) [11]. Questions in category B are used to evaluate psychological and physical health conditions related to overall mental health. The BJSQ is widely used to evaluate employees’ mental health status, and category B has been used to investigate workplace stress and its impact on mental health [2, 11, 12]. Such stress analyses are based on demand-control-support and effort-reward-imbalance models [13].

Data accumulated from the BJSQ facilitate identification of individuals with high occupational stress. This stress can then be ameliorated by managing stressors identified through the questionnaire models, as well with heightened social support from supervisors and colleagues [14]. Specific predictions of susceptibility to occupational stress based on the data enable supervisors and managers to make more effective interventions. Any such predictive analysis needs to take account of differences in intrinsic, pre-employment factors, because occupational stress levels are known to differ among individuals with similar workplace conditions and workloads [8,9,10].

In the present study, we aimed to identify potential predictors of susceptibility to occupational stress. We investigated items related to lifestyles and eating habits, along with physical health examination parameters. As urinary parameters, sodium, potassium, and phosphorus excretions were also included in our evaluation, as they may be related to oral mineral intake [15]. The stress conditions of each study subject were determined at job entry and 5 months post-entry in the form of scores derived from the subjects’ BJSQ responses. Obtained data were then analysed to determine the presence of any relationships between the stress condition scores and the above-stated potential predictors (lifestyle items, eating habits, and physical health and urinary examination parameters), both at job entry and 5 months post-entry.

Methods

Subjects

The subjects in the present study were recruited from among 86 nurses who began employment at Kagoshima University Hospital, Japan, in April 2015. Sixty-two satisfied the inclusion criteria (female, novice-level nurses). The study was approved by the institutional review committee of Kagoshima University Hospital, and all participants gave informed consent (No. 26–161). Before employment, all 62 nurses had undergone the mandatory health examinations required under the Japanese Industrial Safety and Health Act, and were asked to complete category B of the BJSQ to evaluate their stress levels at job entry. They were also asked to provide urine samples 2 weeks thereafter. Sixteen did not provide samples and, thus, were excluded from the study. At 5 months post-entry (September 2015), subjects were again asked to complete category B questions of the BJSQ. Four subjects were excluded from the study in September: three because of resignation and one for an incorrectly completed questionnaire (Fig. 1). Accordingly, the final analysis population consisted of 42 subjects. During the first 5 months of their employment at Kagoshima University Hospital, the nurses in this study were primarily involved in training on patient care procedures; therefore, job conditions and content did not differ greatly among study subjects.

Fig. 1
figure 1

Study subjects selection and exclusion. The bold-bordered square indicates the entire initial population enrolled in the study

Physical health examination, education level, and area of residence

Each subject underwent an individual physical health examination before job entry. Body weight, height, and systolic and diastolic blood pressures were measured as standard parameters (Table 1). Body mass index was calculated with the standard equation. Red blood cell count, hemoglobin concentration, aspartate transaminase (AST), alanine transaminase (ALT), γ-glutamyltranspeptidase (γ-GTP), low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, and triglycerides were measured as biochemical parameters. Additionally, each nurse’s level of educational attainment (university or vocational college) and area of residence for higher education (within or outside Kagoshima Prefecture, in which the hospital is located) were recorded.

Table 1 Population characteristics at job entry (start of study)

BJSQ and lifestyle questionnaire

Individual mental health status was evaluated using responses to BJSQ category B, with a method outlined in previously published research [2, 11, 16]. Category B concerns psychological and physiological aspects of mental health status, and responses to questions in that category were used to determine a psychological stress condition score, somatic symptom condition score, and combined BJSQ score (psychological stress + somatic symptom condition scores). Lower condition scores represented a higher stress level. Study subjects completed the same self-administered questionnaire at job entry (April) and again at 5 months post-entry (September).

The subjects were also asked to complete a lifestyle questionnaire similar to those commonly used in medical examinations [17], at job entry. The questionnaire included questions on current habits and pre-employment lifestyle and body weight. It contained 11 items: anti-hypertensive drug, anti-diabetic drug, and/or anti-dyslipidemia drug medication history; stroke, coronary heart disease, kidney disease, and/or anemia history; smoking habit; alcohol habit; body weight change (≤ ±10 kg) since age 20; body weight change (≤ ±3 kg) since previous annual health examination; exercise habit; walking speed; eating speed; times between dinner and bedtimes (short: ≤ 2 h; ≥ 2 days/week), eating snacks after evening meals (≥2 days/week); and skipping breakfast (≥2 days/week).

Urinary examinations

Each study subject was asked to provide a morning urine sample within the first 2 weeks of employment. Urinalysis was commissioned to a laboratory (Clinical Pathology Laboratory, Co. Ltd., Kagoshima, Japan), where the samples were analysed for sodium, potassium, chlorine, phosphorus, calcium, and magnesium by standard methods. The obtained concentrations were divided by the creatinine content to yield values reported to predict total amounts excreted in urine in 24 h [18].

Data analysis

Change in BJSQ score between job entry (April) and 5 months post-entry (September) was analysed using the Wilcoxon signed-rank test. Physical health examination and urinary parameter results are shown as mean ± standard deviation (SD). Simple correlations between BJSQ score, and each physical health examination parameter, urinary parameter, or nominal variable of the lifestyle questionnaire were evaluated with the Spearman’s rank correlation coefficient. Stress condition scores at job entry and 5 months post-entry were analysed against nominal variables of lifestyle questionnaire with the Mann–Whitney U test or Kruskal–Wallis test, as appropriate. Urinary sodium, 1-year (pre-employment) body weight change (≤ ±3 kg), and times between dinner and bedtimes (≤2 h) were selected as potential explanatory variables for stress condition scores (objective variables) at 5 months post-entry in multiple regression analysis after checking for multicollinearity. The level of significance was set at p < 0.05. Stata 14 (StataCorp LP, College Station, TX) software was used for statistical analysis when appropriate.

Results

Study population characteristics

The study population was selected as shown in Fig. 1, and comprised 42 female novice nurses. A total of 62 nurses were initially enrolled, gave informed consent, and completed physical health examinations, lifestyle questionnaires, and the BJSQ at job entry, and the final study population of 42 nurses represented subjects not excluded in the analysis period. Of these 42, 37 graduated from university and five from vocational colleges. Subject ages ranged 21–24 (mean, 21.9) years (Table 1).

Physical health and urinary examination and lifestyle questionnaire results at job entry

Table 1 shows the physical health examination and lifestyle questionnaire results. No subjects were current smokers. No subjects reported body weight change since age 20 that was > ± 10 kg or ± 10 kg. However, 21 subjects reported 1-year (pre-employment) body weight change > ± 3 kg or ± 3 kg (change since previous annual health examination). Thirty-two subjects reported they had short times between dinner and bedtimes (≤2 h) on ≥ 2 days/week. Fourteen subjects reported skipping breakfast on ≥ 2 days/week. Table 1 shows creatinine-corrected results for mineral concentrations in spot urine samples.

Stress condition scores at job entry and 5 months post-entry

Stress condition scores (derived from BJSQ responses) obtained at both time points are shown as box plots (Fig. 2); lower scores represent higher stress levels. Psychological stress and both somatic symptom condition scores and combined BJSQ score were significantly decreased at 5 months after starting employment (Fig. 2, box plots A–C). Individually, 41 of the 42 subjects showed a decreased combined BJSQ score at 5 months post-entry (Fig. 2, box plot D).

Fig. 2
figure 2

Psychological stress and somatic symptom condition score and combined Brief Job Stress Questionnaire (BJSQ) score between baseline and 5 months post-entry. Psychological stress condition score (a), somatic symptom condition score (b) and combined BJSQ score (c), and individual combined BJSQ scores (d) are shown for job entry (April, baseline) and 5 months post-entry (September). The data (ac) are shown as maximum, 75%, median, 25%, and minimum as a boxplot. **p < 0.01 values was regarded as statistically significant in the Wilcoxon signed-rank test

Correlations between stress condition scores and possible stress predictors in univariate analyses of BJSQ responses

  1. a)

    At baseline

    Baseline stress conditions showed no significant correlation with any physical health or urinary examination parameter or nominal variable of the lifestyle questionnaire (Tables 2 and 3, upper sections), with the exception of eating speed. Psychological stress condition and combined BJSQ scores were significantly lower in subjects who reported a fast eating speed.

    Table 2 Correlation between stress conditions scores at job entry (A) and 5 months post-entry (B) with physical examination and urinary parameters at job entry
    Table 3 Comparison of stress conditions scores at job entry (A) and 5 months post-entry (B) with nominal variables of lifestyle questionnaire at job entry
  2. b)

    At 5-months post-entry

At this time point, stress condition scores showed significant correlations or tendencies toward correlation with physical health or urinary examination parameters or nominal variables of the lifestyle questionnaire (Tables 2 and 3, lower sections), as described below. The psychological stress condition score was significantly negatively correlated with systolic blood pressure. This score was also significantly lower in subjects who had reported 1-year body weight change > ± 3 kg or ± 3 kg and reported short times between dinner and bedtimes (≤2 h). The psychological stress condition score also tended to be negatively correlated with urinary sodium and phosphorus, though these relationships were not statistically significant (p < 0.10).

The somatic symptom condition score was significantly lower in subjects who had reported 1-year body weight change > ± 3 kg or ± 3 kg. This score was also significantly lower in subjects who had reported short times between dinner and bedtimes (≤2 h). The score tended to be negatively correlated with urinary sodium, though this relationship was not significant (p < 0.10).

The combined BJSQ score (psychological stress + somatic symptom condition scores) was significantly negatively correlated with systolic blood pressure and urinary sodium. This score was significantly lower in subjects who had reported 1-year body weight change > ± 3 kg or ± 3 kg, and reported short times between dinner and bedtimes (≤2 h). The combined BJSQ score was significantly negatively correlated with urinary sodium, and tended to be negatively correlated with urinary phosphorus, though this relationship was not statistically significant (p < 0.10).

Stress condition scores at 5 months post-entry vs. selected potential predictors in multiple regression analyses

Parameters showing at least weak correlations (p < 0.10) in univariate analysis were targeted for multiple regression analysis (Tables 2 and 3) after confirmation they did not show multicollinearity. In these analyses, stress condition scores at 5 months post-entry were treated as objective variables, and physical health and urinary examination parameters and lifestyle questionnaire items at entry were treated as explanatory variables. Multicollinearity was found for the following parameters: urinary phosphorus was significantly related to urinary sodium (r = 0.402, p < 0.01), and systolic blood pressure significantly differed between subjects who had reported short times between dinner and bedtimes (≤2 h) and those who did not (p = 0.048). After these exclusions for multicollinearity, urinary sodium, 1-year body weight change (> ± 3 kg or ± 3 kg), and times between dinner and bedtimes (short: ≤ 2 h) were found to be significant explanatory variables for psychological stress and somatic symptom condition scores, and for combined BJSQ score at 5 months post-entry (Table 4).

Table 4 Standard partial regression coefficients from multiple regression analysis of BJSQ scores at 5 months post-entry

Discussion

In this study, a number of factors were assessed for their potential to predict susceptibility to occupational stress in female novice nurses. The results suggested that urinary sodium level, 1-year body weight change, and times between dinner and bedtimes (determined at job entry) may have predicted occupational stress at 5 months post-entry.

The psychological stress and somatic symptom condition scores were significantly decreased from baseline at 5 months post-entry (Fig. 2; decreased score represents a higher stress level). The post-entry stress condition scores might have been further decreased if BJSQ data from three subjects who resigned before the end of the analysis period had been included in the analyses. During the first 5 months of their employment at Kagoshima University Hospital, the nurses in this study were primarily involved in training on patient care procedures; therefore, job conditions and content did not differ greatly among study subjects. The nurses were considered an appropriate population in which to assess susceptibility to occupational stress because of the relatively uniform working conditions during this 5-month period. Although the decrease in stress condition scores was speculated to have been primarily due to occupational stress, non-occupational factors may in fact have been involved. Accordingly, two such possible factors were investigated: change in residential location (i.e., moving to a new at the same time as starting a new job) and level of education. The stress condition scores at 5 months post-entry, however, did not differ between subjects who had lived in the same region as the hospital (Kagoshima Prefecture) before job entry and those who moved from elsewhere for the position. This suggested that change of residential location did not affect the mental health condition of the study subjects. Level of education has been reported as a predictor of resignation for novice nurses in Japan [6]. However, in the present study, stress condition scores at 5 months post-entry did not significantly differ between university graduates and vocational college graduates, though university graduates tended to have higher scores (Table 3). From a different standpoint, the present study may not have been sufficiently powered to detect differences between university graduates and technical college graduates.

Urinalysis parameters and nominal variables of the lifestyle questionnaire were also evaluated as stress predictors. The relevant data collections had been considered unproblematic because the procedures were not invasive, yet 16 subjects did not provide a urine sample, and were accordingly excluded from the study (Fig. 1). This may have been explained by the reluctance of some of the nurses to bring urine samples to their workplace in public view, and by possible menstruation-related issues. Urinalysis parameters were nevertheless evaluated in this study despite the lower number of urine samples than expected. Urinary sodium concentration, 1-year (pre-employment) body weight change (≤ ±3 kg), and times between dinner and bedtimes (≤2 h) were targeted for multivariate regression analysis after checking for multicollinearity because they were correlated with the stress condition scores at 5 months post-entry in univariate analyses. Discussion of the results of these multivariate analyses (Table 4) focuses on psychological stress and somatic symptom condition scores, which were closely reflected by the combined BJSQ scores. The univariate analysis results for these parameters were broadly confirmed; urinary sodium concentration, 1-year body weight change (≤ ±3 kg), and times between dinner and bedtimes (≤2 h) were shown to be independent explanatory factors (Table 4). Similar results were obtained for psychological stress and somatic symptom condition scores as objective variables. Urinary sodium was reported to be related to salt intake [18], and high salt intake is reportedly involved in brain renin-angiotensin system activation, not the peripheral system, with resultant increased anxiety, in an animal model [19, 20]. The involvement of sodium intake in susceptibility to occupational stress is a promising area of future research aimed at ameliorating stressful conditions for new employees.

The 1-year body weight change was determined as the self-reported difference from the measurement in the nurses’ previous physical health examination, which they had undergone in their final year of higher education. Decreased energy expenditure and resultant body weight gain could reasonably be expected in that final year, in which they face national nursing examinations and commonly withdraw from sporting or athletic leisure activities. Owing to the varied factors involved, a full discussion of 1-year body weight change is outside the scope of the present study. However, such overeating and/or low energy expenditure-related body weight gains in the final year of high education could induce leptin resistance, which has been linked to adverse mental health outcomes in epidemiological and animal studies [21, 22]. The involvement of body weight change, especially increased body weight, in susceptibility to occupational stress requires further investigation. Nakajima et al. reported that short times between dinner and bedtimes were associated with hyperglycaemia in a general Japanese population, although breakfast skipping was not [23]. Hyperglycaemia is related to insulin resistance, which may relate to mental health conditions underlying susceptibility to occupational stress [24, 25]. Thus, the relationship between eating habit and susceptibility to occupational stress is also a promising area for further investigation in future studies.

Generally, physical health and urinary examination parameters and nominal variables of lifestyle questionnaire were not found to be related to baseline stress conditions scores at job entry, which were relatively high (Tables 2 and 3). However, baseline psychological stress condition and combined BJSQ scores at job entry were significantly low in subjects with a fast eating speed. No such relationship was found for stress condition scores at 5 months post-entry, suggesting that fast eating speed is not a predictive factor for susceptibility to occupational stress.

The present study had three main limitations. First, it was longitudinal, but observational; therefore, caution is required in interpreting cause-and-effect relationships. In addition, the influence of the exclusion (total 20 subjects, see the Fig. 1) during the study on the results is not clear due to the observational study. Moreover, the remained influence of multicollinearity among variables may affect the nature of such findings obtained in the observational study. To address these, investigation in future intervention studies is needed. Second, the analysis population was too small to permit definitive conclusions. This was only a pilot study, and a major study with a larger population is needed to substantiate the results and provide a basis for comprehensive interpretation. However, the statistically significant results obtained in the present study show meaningful findings even from a relatively low number of subjects. Finally, the study population consisted entirely of female novice nurses. Extrapolation to other populations should be considered.

Conclusions

Urinary sodium, and self-reported (questionnaire response) 1-year body weight change, and times between dinner and bedtimes, are suggested as promising potential predictors of susceptibility to occupational stress. These factors were associated with stress scores at 5 months post-entry, when occupational stress was considered present, and not at baseline. Based on the results, after confirmation of the intervention studies, the subjects with high susceptibility to occupational stress should be managed through the lifestyle corrections.

Abbreviations

ALT:

Alanine transaminase

AST:

Aspartate transaminase

BJSQ:

Brief job stress questionnaire

Cr:

Creatinine

HDL:

High-density lipoprotein

LDL:

Low-density lipoprotein

SD:

Standard deviation

γ-GTP:

γ-Glutamyltranspeptidase

References

  1. de Jonge J, Bosma H, Peter R, Siegrist J. Job strain, effort-reward imbalance and employee well-being: a large-scale cross-sectional study. Soc Sci Med. 2000;50:1317–27.

    Article  PubMed  Google Scholar 

  2. Otsuka T, Kawada T, Ibuki C, Kusama Y. Relationship between job strain and radial arterial wave reflection in middle-aged male workers. Prev Med. 2009;49:260–4.

    Article  PubMed  Google Scholar 

  3. Tzeng DS, Chung W-c, Yang C-y. The effect of job strain on psychological morbidity and quality of life in military hospital nurses in Taiwan: a follow-up study. Ind Health. 2013;51:443–51.

    Article  PubMed  Google Scholar 

  4. Josephson M, Lindberg P, Voss M, Alfredsson L, Vingård E. The same factors influence job turnover and long spells of sick leave— a 3-year follow-up of Swedish nurses. Eur J Public Health. 2008;8:380–5.

    Article  Google Scholar 

  5. Nei D, Snyder LA, Litwiller BJ. Promoting retention of nurses: a meta-analytic examination of causes of nurse turnover. Health Care Manage Rev. 2015;40:237–53.

    Article  PubMed  Google Scholar 

  6. Suzuki E, Tagaya A, Ota K, Nagasawa Y, Matsuura R, Sato C. Factors affecting turnover of Japanese novice nurses in university hospitals in early and later periods of employment. J Nurs Manag. 2010;18:194–204.

    Article  PubMed  Google Scholar 

  7. Ishihara I, Ishibashi Y, Takahashi K, Nakashima M. Effect of organizational factors and work environments on newly graduated nurses’ intention to leave. Jpn J Nurs Sci. 2014;11:200–10.

    Article  PubMed  Google Scholar 

  8. Elovainio M, Kivimäki M, Ek E, Vahtera J, Honkonen T, Taanila A, et al. The effect of pre-employment factors on job control, job strain and psychological distress: a 31-year longitudinal study. Soc Sci Med. 2007;65:187–99.

    Article  PubMed  Google Scholar 

  9. Hintsanen M, Kivimäki M, Hintsa T. A prospective cohort study of deficient maternal nurturing attitudes predicting adulthood work stress independent of adulthood hospitality and depressive symptoms. Stress. 2010;13:425–34.

    Article  CAS  PubMed  Google Scholar 

  10. Huang C, Li J, Lu L, Ren X, Li Y, Huang Q, et al. Interaction between serotonin transporter gene-linked polymorphic region (5-HTTLPR) and job-related stress in insomnia: a cross-sectional study in Sichuan, China. Sleep Med. 2014;15:1269–75.

    Article  PubMed  Google Scholar 

  11. Kawada T, Otsuka T. Relationship between job stress, occupational position and job satisfaction using a brief job stress questionnaire (BJSQ). Work. 2011;40:393–9.

    PubMed  Google Scholar 

  12. Endo M, Muto T, Haruyama Y, Yuhara M, Sairenchi T, Kato R. Risk factors of recurrent sickness absence due to depression: a two-year cohort study among Japanese employees. Int Arch Occup Environ Health. 2015;88:75–83.

    Article  CAS  PubMed  Google Scholar 

  13. Gilbert-Ouimet M, Trudel M, Brisson C, Milot A, Vézina M. Adverse effects of psychosocial work factors on blood pressure: systematic review of studies on demand-control-support and effort-reward imbalance models. Scand J Work Environ Health. 2014;40:109–32.

    Article  PubMed  Google Scholar 

  14. Kawakami N, Kobayashi Y, Takao S, Tsutsumi A. Effects of web-based supervisor training on supervisor support and psychological distress among workers: a randomized controlled trial. Prev Med. 2005;41:471–8.

    Article  PubMed  Google Scholar 

  15. Kimira M, Kudo Y, Takachi R, Haba R, Watanabe S. Associations between dietary intake and urinary excretion of sodium, potassium, phosphorus, magnesium, and calcium. Nihon Eiseigaku Zasshi. 2004;59:23–30 (in Japanese with English abstract).

    Article  CAS  PubMed  Google Scholar 

  16. Wada K, Sairenchi T, Haruyama Y, Taneichi H, Ishikawa Y, Muto T. Relationship between the onset of depression and stress response measured by the brief job stress questionnaire among Japanese employees: a cohort study. PLoS One. 2013;8:e56319.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Wakasugi M, Kazama JJ, Narita I, Iseki K, Moriyama T, Yamagata K, et al. Association between combined lifestyle factors and non-restorative sleep in Japan: a cross-sectional study based on a Japanese health database. PLoS One. 2014;9:e108718.

    Article  PubMed  PubMed Central  Google Scholar 

  18. van Hooft Huysduynen EJC, Hulshof PJM, van Lee L, Geelen A, Feskens EJM, Van’t Veer P, et al. Evaluation of using spot urine to replace 24 h urine sodium and potassium excretions. Public Health Nutr. 2014;17:2505–11.

    Article  Google Scholar 

  19. Saavedra JM. Brain angiotensin II: new developments, unanswered questions and therapeutic opportunities. Cell Moll Neurobiol. 2005;25:485–511.

    Article  CAS  Google Scholar 

  20. Cao W, Li A, Wang L, Zhou Z, Su Z, Bin W, Wilcox CS, et al. A salt-induced reno-cerebral reflex activates renin-angiotensin systems and promotes CKD progression. J Am Soc Nephrol. 2015;26:1619–33.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Finger BC, Dinan TG, Cryan JF. Leptin-deficient mice retain normal appetitive spatial learning yet exhibit marked increases in anxiety-related behaviours. Psychopharmacology. 2010;210:559–68.

    Article  CAS  PubMed  Google Scholar 

  22. Lawson EA, Miller KK, Blum JI. Leptin levels are associated with decreased depressive symptoms in women across the weight spectrum, independent of body fat. Clin Endocrinol. 2012;76:520–5.

    Article  CAS  Google Scholar 

  23. Nakajima K, Suwa K. Association of hyperglycemia in a general Japanese population with late-night-dinner eating alone, but not breakfast skipping alone. J Diabet Metab Dis. 2015;14:16.

    Article  Google Scholar 

  24. Alagiakrishnan K, Sclater A. Psychiatric disorders presenting in the elderly with type 2 diabetes mellitus. Am J Geriatr Psychiatry. 2012;20:645–52.

    Article  PubMed  Google Scholar 

  25. Pomytkin IA, Cline BH, Anthony DC, Steinbusch HW, Lesch K-P, Strekalova T. Endotoxaemia resulting from decreased serotonin transporter (5-HTT) function: a reciprocal risk factor for depression and insulin resistance? Behav Brain Res. 2015;276:111–7.

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgments

We would like to thank Miyoko Tsurukubo, Shoichi Iwashige, Yuki Ohsako, and Ichiro Kumamoto for their helpful support and advice, and the members of the Nursing Department of Kagoshima University Hospital for their kind cooperation. We would also like to thank Henry Smith and Edanz Group Ltd. for editing the manuscript.

Funding

No funding was received.

Availability of data and materials

Please contact the corresponding author for data request.

Authors’ contributions

SO designed and performed the study, and wrote the manuscript. SD analysed the data. MA performed the study. EA analysed the data. HS contributed materials for the study. CK contributed to support analysis of the data. MU performed the study. HK critically reviewed and revised the manuscript. MH conceived and designed the study, and wrote the manuscript. All authors approved the final version of the manuscript.

Competing interests

The authors declare that they have no competing interests.

Consent for publication

Not Applicable.

Ethics approval and consent to participate

We obtained ethical approval for the study from the institutional review committee of Kagoshima University Hospital (IBR Number: 26–161). Informed consent was provided by the individual participants before they filled out the questionnaire. A written consent was also taken from participants.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Masahisa Horiuchi.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Okita, S., Daitoku, S., Abe, M. et al. Potential predictors of susceptibility to occupational stress in Japanese novice nurses - a pilot study. Environ Health Prev Med 22, 20 (2017). https://doi.org/10.1186/s12199-017-0641-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12199-017-0641-8

Keywords