The correlation between workers’ working pressure and physical and mental health analyzed by the job demand-resource stress model

Work ◽  
2021 ◽  
pp. 1-11
Author(s):  
Jingfu Lu ◽  
Yanliang Yu ◽  
Yang Zhao ◽  
Michelle Jenkin
Keyword(s):  
Mental Health ◽  
Regression Analysis ◽  
Linear Regression Analysis ◽  
Reliability And Validity ◽  
Physical And Mental Health ◽  
Pressure Source ◽  
Coordinated Development ◽  
Working Pressure ◽  
Job Demand ◽  
Resource Stress

BACKGROUND: Under the background of the information society, teachers’ pressure from work and life is increasing. Meanwhile, the working pressure has a potential inevitable connection with the physical and mental health of teachers. OBJECTIVE: To analyze the correlation between working pressure of workers and mental health status, expand the application of the job demand-resource stress (JD-RS) model in the adjustment of working characteristic pressure, and achieve the coordinated development between working pressure and mental health. METHODS: The occupation of the teacher is taken as the research object. First, the pressure source questionnaire and Symptom Check List 90 (SCL-90) are chosen to measure the working pressure and mental health. Also, the reliability and validity of the pressure source questionnaire are tested. Second, the gender, duty, teaching age, and workload of teachers are chosen as the foundation for comparing and analyzing the impact of various dimensions and project factors on teachers’ working pressure and mental health. Finally, based on the method of univariate linear regression analysis, the correlation between teachers’ working pressure and mental health is analyzed and characterized. RESULTS: The measurement tool based on the pressure source questionnaire has good performance reliability and validity. The five dimensions of Cronbach’s coefficients are all greater than 0.8, and the indicators of fitting all meet psychometrics requirements. Significance analysis shows that different genders, duties, teaching ages, and workloads have different levels of significant influence on teachers’ working pressure and mental health. Linear regression analysis shows that teachers’ working pressure has a significant impact on their physical and mental health, which has a predictive effect. Teachers who bear high-intensity pressure have psychological problems. CONCLUSIONS: The research based on the JD-RS model has a positive role in promoting the balanced and coordinated development of working pressure and the physical and mental health of employed workers.

scholarly journals Developing the Patient Health Questionnaire-8 for a greater impact on the quality of life of patients with functional dyspepsia compared to Somatic Symptom Scale-8

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Chaoqun Yuan ◽  
Guizhen Yong ◽  
Xi Wang ◽  
Ting Xie ◽  
Chunyan Wang ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Regression Analysis ◽  
Somatic Symptom ◽  
Linear Regression Analysis ◽  
Reliability And Validity ◽  
Health Questionnaire ◽  
Symptom Scale ◽  
Patient Health ◽  
Scale 8

Abstract Background To develop the Patient Health Questionnaire-8 (PHQ-8) as a more reliable approach than the Somatic Symptom Scale-8 (SSS-8), evaluating somatization which might be a critical factor influencing the quality of life (QoL) in patients with functional dyspepsia (FD). Also, the effects of somatization on QoL of FD patients were assessed by these two approaches. Methods Herein, 612 FD patients completed a questionnaire involving 25 items. 8/25 items were selected to develop the PHQ-8 by four methods of discrete degree, correlation coefficient, factor analysis, and Cronbach’s α coefficient. Reliability and validity of the PHQ-8 and the SSS-8 were compared by principal component and confirmatory factor analyses. The effects of somatization, depression, and anxiety on the Nepean Dyspepsia Index (NDI) for QoL were explored by Pearson’s correlation coefficient and linear regression analysis. Results The Cronbach’s α coefficient for the PHQ-8 and the SSS-8 was 0.601 and 0.553, respectively, and the cumulative contribution rate of three extracted factors for the developed PHQ-8 and SSS-8 was 55.103% and 51.666%, respectively. Somatization evaluated by the PHQ-8 (r = 0.309, P < 0.001) and the SSS-8 (r = 0.281, P < 0.001) was found to be correlated to NDI. The model used for the PHQ-8 showed that the values of goodness-of-fit index (GFI) and adjusted GFI (AGFI) were 0.984 and 0.967, respectively, which indicated that the model fitted well. Linear regression analysis unveiled that somatization (β = 0.270, P < 0.001), anxiety (β = 0.163, P < 0.001), and depression (β = 0.136, P = 0.003) assessed by the PHQ-8 were correlated to NDI. In addition, somatization (β = 0.250, P < 0.001), anxiety (β = 0.156, P < 0.001), and depression (β = 0.155, P = 0.001) evaluated by the SSS-8 were correlated to NDI. Conclusions PHQ-8 showed a superior reliability and validity, and somatization assessed by the developed PHQ-8 showed a greater influence on the QoL of FD patients as compared to the SSS-8. Our findings suggested that the developed PHQ-8 may show improvement in a reliable assessment of the effects of somatization on FD patients in lieu of the SSS-8.

Burdens in mental health recovery: Causal beliefs and their relation to stigma and help seeking recommendations

2020 ◽  
pp. 002076402097324
Author(s):  
Lisa Colman ◽  
Katrijn Delaruelle ◽  
Carolien Luypaert ◽  
Rebekka Verniest ◽  
Piet Bracke
Keyword(s):  
Mental Health ◽  
Regression Analysis ◽  
Social Distance ◽  
Help Seeking ◽  
Linear Regression Analysis ◽  
Mental Health Recovery ◽  
Causal Beliefs ◽  
Personal Beliefs ◽  
Potential Barriers ◽  
Informal Help

Background: Lay attitudes are often seen as potential barriers to mental health recovery. But apart from perceiving them as potential barriers, they can also play an important role in stimulating individuals to consult (in)formal help sources, in particular through the process of help referral. Where existing research mainly focusses on actual help seeking behaviour, this study will focus on lay publics’ referral behaviour. Aims: This study analyses the relation between causal beliefs and stigmatising attitudes and social distance on the one hand, and (in)formal help seeking recommendations on the other. Methods: Data from a survey carried out in 2019, assessing the attitudes of Public Health Insurance Provider (HIP) members towards mental health problems, was used. Part of the survey questions was based on a quantitative quasi-experimental design, using hypothetical written vignettes. The weighted data represent a sample of the adult Flemish population (22–94 years, N = 5675). Multiple linear regression analysis was used to examine the relation between causal beliefs and stigma, while binominal logistic regression analysis was used to investigate the relation between causal beliefs and help seeking recommendations. Results: The results reveal that causal beliefs significantly associate with stigma, measured by stigmatising attitudes and social distance: personal- or biogenetic beliefs associate with more stigma, where psychosocial beliefs associate with less stigma. Concerning help seeking recommendations, psychosocial beliefs associate with recommending psychological or psychotherapeutic care, biogenetic beliefs associate with advising help from general practitioners and suggesting psychiatric help, while personal beliefs negatively associate with recommending formal help. Meanwhile, biogenetic beliefs associate with less informal help seeking recommendations (e.g. family, friends and online self-help), where personal beliefs associate with more informal help seeking recommendations and psychosocial beliefs only associate with online help referral. Conclusion: This study highlights the importance of causal beliefs in affecting public stigma and help seeking recommendations.

scholarly journals Examination of sleep health dimensions and their associations with perceived stress and health in a UK sample

2019 ◽  
Author(s):  
Sarah F Allen ◽  
Umair Akram ◽  
Jason G Ellis
Keyword(s):  
Mental Health ◽  
Sleep Quality ◽  
Perceived Stress ◽  
Online Survey ◽  
Reliability And Validity ◽  
Physical And Mental Health ◽  
Sleep Health ◽  
Cross Sectional ◽  
Daytime Functioning ◽  
Principle Components Analysis

Abstract Background Sleep health is a relatively new multidimensional concept, however, there is no consensus on its underlying dimensions. A previous study examined potential indicators of sleep health using an aggregated sleep health measure. However, the psychometric properties are yet to be determined. The primary aim was to assess the factor structure, reliability and validity of this measure. A secondary aim was to explore the relationships with perceived stress, and physical and mental health. Methods A cross-sectional online survey was conducted with 257 adults from the UK aged 18–65 (78.4% female, mean age = 29.39 [SD = 11.37]). Participants completed 13 Sleep health items, the Pittsburgh Sleep Quality Inventory, Insomnia Severity Scale, Epworth Sleepiness Scale, Perceived Stress Scale and SF-12 Health Survey. Results The measure exhibited good internal consistency (α = 0.785) and construct validity as determined by associations with existing measures. Principle components analysis produced four factors e; sleep quality (α = 0.818), sleep adaptability (α = 0.917), sleep wellness (α = 0.621) and daytime functioning (α = 0.582). Adaptability (β = −241) was strongest predictor of perceived stress, and daytime functioning was strongest predictor of physical (β = 0.322) and mental health (β = 0.312). Conclusions Sleep health is a multidimensional construct comprising four distinct but related dimensions. The importance of sleep health in terms of perceived stress and mental and physical health is highlighted.

scholarly journals The Developed Patient Healthy Questionnaire-8 with a Greater Impact on Quality of Life Compared with the Somatic Symptom Scale-8 in Functional Dyspepsia

2020 ◽  
Author(s):  
Chaoqun Yuan ◽  
Guizhen Yong ◽  
Xi Wang ◽  
Ting Xie ◽  
Chunyan Wang ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Factor Analysis ◽  
Regression Analysis ◽  
Linear Regression ◽  
Somatic Symptom ◽  
Linear Regression Analysis ◽  
Reliability And Validity ◽  
Symptom Scale ◽  
Scale 8

Abstract Background: To adapt insufficiencies of the Somatic Symptom Scale-8 (SSS-8) measuring somatization in functional dyspepsia (FD) to develop PHQ-8, of which reliability, validity and the effects of somatization evaluated by the developed PHQ-8 on quality of life (QoL) were further assessed.Methods: 612 FD patients completed a 25 items questionnaire. 8 items were selected from 25 items to constitute the PHQ-8 by discrete degree, correlation coefficient, factor analysis and Cronbach coefficient four methods. Reliability and validity for the PHQ-8 and the SSS-8 were compared by principal component and confirmatory factor analysis. The effects of somatization, depression and anxiety on the Nepean Dyspepsia Index (NDI) for QoL were explored by Pearson correlation coefficient and linear regression analysis.Results: Cronbach’s α coefficients for the PHQ-8 and the SSS-8 were 0.601, 0.553, and cumulative contribution rates of three extracted factors were 55.103%, 51.666%, respectively. Somatization evaluated by the PHQ-8(r=0.309, P<0.001) and the SSS-8 (r=0.281, P<0.001) were related to the NDI. The model for the PHQ-8 showed χ2=31.247, RMR=0.01, RMSEA=0.042, GFI=0.984. Linear regression analysis showed that somatization measured by the PHQ-8 (β=0.270, P<0.001), anxiety (β=0.163, P<0.001) and depression (β=0.136, P=0.003) were determinants of the NDI; somatization measured by the SSS-8 (β=0.250, P<0.001), anxiety (β=0.156, P<0.001) and depression (β=0.155, P =0.001) were determinants of the NDI.Conclusions: The developed PHQ-8 had a better reliability and validity, which assessing somatization appeared to have a greater impact on QoL than that of the SSS-8. These results suggested that the developed PHQ-8 might improve to study the effects of somatization on QoL instead of the SSS-8 in specific FD patients.

scholarly journals Development of Subjective Well-Being Increasing Strategies Scale for Children (1-5 Ages) Their Mothers Use

2018 ◽  
Vol 6 (6) ◽  
pp. 77 ◽  
Author(s):  
Ali Eryılmaz ◽  
Özkan Sapsağlam
Keyword(s):  
Mental Health ◽  
Satisfaction With Life ◽  
Item Analysis ◽  
Reliability And Validity ◽  
Well Being ◽  
Physical Contact ◽  
Subjective Well Being ◽  
Physical And Mental Health ◽  
Four Dimensions ◽  
Explained Variance

Subjective well-being is a sign of positive mental health of children. The aim of the present study is to develop subjective well-being increasing strategies scale for children whose mothers’ uses are varied 1 to 5. In this study, there were 195 mothers whose mean ages were 31, 49 and standard deviation were 4,71.  Satisfaction with life, positive and negative affect scales were used. Moreover, item analysis, exploratory factor analysis, reliability and validity analysis were used. According to results, the scale has 66,03 % explained variance and four dimensions which were named as acting physical contact, playing game, satisfaction of desires and  take out.  The reliability and validity of the scale have enough values. The scale is valid and reliable. In future, some researches might carry out with this scale in order to increase children’s’ physical and mental health.

scholarly journals Autism and Chronic Ill Health: An Observational Study of Symptoms and Diagnoses of Central Sensitivity Syndromes in Autistic Adults

2021 ◽  
Author(s):  
Sarah Louise Grant ◽  
Sam Norton ◽  
Ricarda F. Weiland ◽  
Anke M. Scheeren ◽  
Sander Begeer ◽  
...  
Keyword(s):  
Mental Health ◽  
Reliability And Validity ◽  
Autistic Traits ◽  
Hierarchical Regression ◽  
Control Group ◽  
Physical And Mental Health ◽  
Sensory Sensitivity ◽  
Confirmatory Factor Analyses ◽  
The Central Nervous System ◽  
Autistic Adults

Abstract Background Autistic adults, particularly women, are more likely to experience chronic ill health than the general population. Central sensitivity syndromes (CSS) are a group of related conditions that are thought to include an underlying sensitisation of the central nervous system; heightened sensory sensitivity is a common feature. Anecdotal evidence suggests autistic adults may be more prone to developing a CSS. This study aimed to investigate the occurrence of CSS diagnoses and symptoms in autistic adults, and to explore whether CSS symptoms were related to autistic traits, mental health, sensory sensitivity, or sex. MethodsParticipants included 982 autistic adults (male = 409, female = 563, other = 9, mean age = 44.5) registered at the Netherlands Autism Register, who completed questionnaires assessing autistic traits, sensory sensitivity, CSS, physical and mental health symptoms. The reliability and validity of the Central Sensitization Inventory (CSI) in an autistic sample was established using exploratory and confirmatory factor analyses. Chi2 analyses, independent t-tests, ANOVA, hierarchical regression analysis and path analysis were used to analyse relationships between CSS symptoms, autistic traits, measures of mental health and wellbeing, sensory sensitivity, age and assigned sex. Results21% of participants reported one or more CSS diagnoses, and 60% scored at or above the clinical cut-off for a CSS. Nonbinary and female autistics were more likely to report a CSS diagnosis and experienced more CSS symptoms than males. Sensory sensitivity, anxiety, age and sex were significant predictors of CSS symptoms, with sensory sensitivity and anxiety fully mediating the relationship between autistic traits and CSS symptoms. Limitations Although this study included a large sample of autistic adults, we did not have a control group or a CSS only group. ConclusionsCSS diagnoses and symptoms appear to be very common in the autistic population. Increased awareness of an association between autism and CSS should inform clinicians and guide diagnostic practice, particularly for females where CSS is common and autism under recognised.

scholarly journals Effect of Solitary on Depression and Well-being of Older Adults Residing in Old Homes

2021 ◽  
Vol VI (I) ◽  
pp. 96-102
Author(s):  
Ammara Sattar ◽  
Muhammad Naveed Riaz ◽  
Asma Rashid
Keyword(s):  
Mental Health ◽  
Older Adults ◽  
Regression Analysis ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Well Being ◽  
Stress Scale ◽  
Depression Subscale ◽  
Mental Well Being

The study aimed to examine the effect of solitary on depression and the well-being of older adults residing in old homes. The sample comprised of older adults residing in old homes (N = 100). Solitude Scale, Depression subscale of Depression, Anxiety, and Stress Scale and Short Warwick Edinburg Mental Well-Being Scale were applied on the older adults. Linear Regression analysis showed that solitary positively predicted depression in older adults residing in old homes, whereas solitary negatively predicted well-being in older adults residing in old homes. The findings of this study can be used to improve the mental health of older adults residing in old homes.

scholarly journals Association of Sleep Duration and Screen Time With Anxiety of Pregnant Women During the COVID-19 Pandemic

2021 ◽  
Vol 12 ◽  
Author(s):  
Yuan Zhang ◽  
Yuge Zhang ◽  
Renli Deng ◽  
Min Chen ◽  
Rong Cao ◽  
...  
Keyword(s):  
Mental Health ◽  
Regression Analysis ◽  
Pregnant Women ◽  
Sleep Duration ◽  
Screen Time ◽  
Large Scale ◽  
Linear Regression Analysis ◽  
Cross Sectional Study ◽  
Multivariable Logistic Regression Analysis ◽  
Cross Sectional

The COVID-19 pandemic has dramatically changed the patterns of lifestyle and posed psychological stress on pregnant women. However, the association of sleep duration and screen time with anxiety among pregnant women under the backdrop of the COVID-19 pandemic scenario has been poorly addressed. We conducted one large-scale, multicenter cross-sectional study which recruited 1794 pregnant women across middle and west China. Self-reported demographic characteristics, lifestyle, and mental health status were collected from 6th February to 8th May 2020. We investigated the association of sleep duration and screen time with the risk of anxiety by multivariable logistic regression analysis and linear regression analysis after adjusting potential confounders. The dose-response relationship of sleep duration and screen time with anxiety was visualized using a cubic spline plot. Our data revealed that almost 35% of pregnant women suffered from anxiety during the COVID-19 pandemic. Sleep duration was dose-dependently associated with a lower risk of anxiety among pregnant women (OR = 0.41, 95% CI: 0.27–0.63), while screen time exhibited a conversed effect (OR = 2.01, 95% CI:1.00–4.39). Notably, sleep duration (≥8 h/day) synergistically combined with screen time (3–7 h/day) to diminish the risk of anxiety (OR = 0.70, 95% CI: 0.50–0.99). Taken together, sleep duration and screen time were independently and jointly associated with anxiety (P &lt; 0.05). Therefore, promoting a more active lifestyle and maintaining higher sleep quality could improve the mental health of pregnant women, especially under public health emergency.

Sign in / Sign up

Export Citation Format

Share Document