scholarly journals Changes in the mental health status of adolescents following the Fukushima Daiichi nuclear accident and related factors: Fukushima Health Management Survey

2020 ◽  
Vol 260 ◽  
pp. 432-439 ◽  
Author(s):  
Fumikazu Hayashi ◽  
Megumi Sanpei ◽  
Tetsuya Ohira ◽  
Hironori Nakano ◽  
Kanako Okazaki ◽  
...  
2017 ◽  
Vol 29 (2_suppl) ◽  
pp. 131S-138S ◽  
Author(s):  
Hirobumi Mashiko ◽  
Hirooki Yabe ◽  
Masaharu Maeda ◽  
Syuntaro Itagaki ◽  
Yasuto Kunii ◽  
...  

The disaster at the Fukushima Daiichi Nuclear Power Plant after the Great East Japan Earthquake on March 11, 2011, might have affected the mental health status of children. To assess the mental health status, we measured the Strengths and Difficulties Questionnaire (SDQ) in 15 274 children (aged 4-15 years). The proportions of those who scored above the cutoff (≥16) of SDQ, reflecting the clinical range of the mental health status, were 25.0% (aged 4-6 years), 22.0% (aged 7-12 years, and 16.3% (aged 13-15 years), which were higher than that in the usual state (9.5%). We also explored the possibility that the distribution on the Fukushima prefectural map of the proportions of those who scored above the cutoff (≥16) of SDQ might correspond with the environmental radiation levels, but there was no significant correlation.


2019 ◽  
Vol 11 (11) ◽  
pp. 729-739
Author(s):  
Yasuko Kohda ◽  
Takafumi Monma ◽  
Maki Yamane ◽  
Toshihito Mitsui ◽  
Kayoko Ando ◽  
...  

2019 ◽  
Author(s):  
masood taheri ◽  
Mahnaz Afshari ◽  
saeede alidoost ◽  
Hassan Abolghasem Gorji ◽  
Amir Rakhshan

Abstract Background Cancer is one of the most common non-communicable diseases and the second cause of death in Iran. The progress in medical technologies and treatment plans has caused the patients to live longer; however, these patients are confronted with psychological challenges and their mental health is influenced because of different reasons. This study is carried out to investigate the mental health status of the cancer patients in the Center for Specific Diseases. Methods The present research is a cross-sectional, descriptive, and analytic study carried out in 2018 in Tehran province, Iran. In the present study, the mental health of the cancer patients referring to the Center for Specific Diseases in Tehran was evaluated in one setting, and no intervention was provided. The research population included 124 cancer patients of Tehran referring to the Center for Specific Diseases. Results the overall prevalence of psychiatric disorders in patients under study was 50%. The highest sensitivity to mental disorders in each of the variables was related to men (52.7%), patients aging 40-55 (45.7%), married (51.5%), unemployed (62.5%), and illiterate patients (80%). The findings of this study indicated that there is no statistically significant relationship between the prevalence of psychiatric disorders among patients with cancer and the variables in the study. Conclusions The results of this study indicated a high prevalence of depression disorder among cancer patients. Psychosocial stresses caused by cancer cause mental disorders, including depression in patients.


2010 ◽  
Vol 44 (8) ◽  
pp. 826-834 ◽  
Author(s):  
Takeshi Haoka ◽  
Shin-ichiro Sasahara ◽  
Yusuke Tomotsune ◽  
Satoshi Yoshino ◽  
Tetsuhiro Maeno ◽  
...  

2020 ◽  
Author(s):  
Yahua Zheng ◽  
Lili Wang ◽  
Lingfei Feng ◽  
Lingxiao Ye ◽  
Aiping Zhang ◽  
...  

Abstract Purpose To assess the sleep quality, mental health status and associated factors among medical workers during the coronavirus disease 2019 (COVID-19) pandemic. Methods A cross-sectional study was conducted and medical workers in Ningbo, China were recruited. Sleep quality was evaluated by Pittsburgh Sleep Quality Index (PSQI). Mental health status was evaluated by Symptom Checklist 90(SCL-90). Logistic regression and generalized multi-factor dimensionality reduction (GMDR) analysis were utilized to explore the risk factors and their interactions on sleep quality and mental health status. Results 207 participants were surveyed, 34.3% were found with poor sleep quality (total PSQI score > 10), mainly manifested as sleep disturbance (92.8%). 27.05% were found with mental symptoms (Global severity index > 1.5), mainly manifested as obsessive-compulsive (25.6%). Multivariate logistic analysis showed male (OR = 3.886, 95%CI = 1.061-14.239, P = 0.040), working years >15 years (OR = 4.505, 95%CI = 1.561-12.998, P = 0.005), nurse (OR = 5.642, 95%CI = 1.347-23.632, P = 0.018), more night shifts (OR = 3.098, 95%CI = 1.308-7.336, P = 0.010), supporting Wuhan (OR = 3.413, 95%CI = 1.120-10.395, P = 0.031) were associated with poor sleep quality. GMDR analysis showed there was a two-factor interaction between working years and working shifts (P = 0.0107). No significant factors and interactions were found associated with mental symptoms. Conclusions About one-third of medical workers suffered from sleep and mental problems during the COVID-19 pandemic in the current study. Interventions for sleep and mental problems among medical workers were needed based on related factors.


2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 215-215
Author(s):  
Ahlam el Shikieri ◽  
Ahmad Hafiz

Abstract Objectives To assess the impact of the nutritional status of COVID-19 patients on their mental health status. It is hypothesized that patients would have impaired mental health status due to compromised nutritional status Methods An epidemiological, cross-sectional study included acute-severely ill COVID-19 patients in Al Madinah Al Munawarah, Saudi Arabia. The following parameters were assessed: demographic characteristics, nutritional status (using the Malnutrition Screening Tool), BMI, loss of appetite, weight loss, decreased food intake and mental health status (using the PHQ-9 to determine the severity of depression). Data collectors wore Personal Protective Equipment and spent a maximum of 15 minutes with each patient. Ethical approval was obtained from the Ministry of Health as well as patients. Statistical analysis was performed using SPSS version 26. Results Patients (n = 515; 82% males) were included. They aged 31–50 years old (60%), married (85%), had low education level (85%), employed in non-governmental sectors (67%), and were non-Saudis (76%). Patients complained of loss of appetite (32%), weight loss (16%), and decreased food intake (19%). A significant number were at risk (13.6%) and 1.6% had high risk of malnutrition. Patients (4%) were underweight and 45% were overweight and/or obese. The mean BMI was 25.4 (SD = 5). They (23.4%) suffered from various degrees of depression. Mild depression was most prevalent (17%) followed by moderate depression (4.3%). Moderately severe and severe depression were common among 2.1%. One way ANOVA indicated that the severity of depression associated with the loss of appetite (P < 0.0005), decreased food intake (P < 0.0005), weight loss (P < 0.0005), and BMI (P < 0.0005). Linear Multiple Regression showed that the loss of appetite (B = 0.037, 95%CI = 0.011–0.352, P = 0.037), weight loss (B = 0.114, 95%CI = 0.000–0.228, P = 0.0049), and BMI (B = 0.031, 95%CI = 0.004–0.057, P = 0.023) affected patients' severity of depression. Conclusions Possible factors associated with depression included loss of appetite, decreased food intake, weight change and BMI. Early detection of malnutrition-related factors and depression reduces hospital stay and cost of medication. It speeds up the rate of recovery, improves health outcomes and the quality of life. Funding Sources No funding was received.


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