Association of overtime work and hypertension in a Japanese working population: A cross-sectional study

Background: Obstructive sleep apnea (OSA) affects a considerable proportion of adults globally and is associated with elevated morbidity and mortality. Given the lack of epidemiologic data on the burden of OSA in Kuwait, this study sought to estimate its prevalence, associated risk factors, and comorbid conditions among a working population in Kuwait.Methods: This was a cross-sectional study of a sample of working adults (n = 651) from public institutions in Kuwait. High/low risk for OSA was ascertained according to the Berlin Questionnaire criteria. Participants self-reported their coexisting health conditions. Associations were assessed using Poisson regression with robust variance estimation; adjusted prevalence ratios (aPRs) and 95% confidence intervals (CIs) were estimated.Results: Overall, 20.0% (130/651) of participants were classified as being at high risk for OSA, with more male than female subjects being at high risk (24.0% [56/233] vs. 17.7% [74/418], P = 0.053), though this difference did not gain statistical significance. Moreover, a high risk for OSA was more common among older and obese subjects. Factors associated with increased prevalence of a high risk for OSA included current smoking status (aPR = 1.58, 95% CI: 1.02–2.06), longer hours spent watching television (1.76, 1.10–2.81), and lower self-perceived physical health (2.11, 1.15–3.87). However, decreasing trends in the prevalence of high risk for OSA were observed with frequent engagement in vigorous physical activity and longer nightly sleep duration. Compared to those at a low risk for OSA, the subjects at high risk for OSA were more likely to have insomnia disorder (2.83, 1.81–4.41), diabetes (1.94, 1.15–3.27), hypertension (3.00, 1.75–5.16), and depression (4.47, 1.80–11.08).Conclusion: This study estimated that 1/5 of working adults in Kuwait were at high risk for OSA, and the prevalence varied according to personal characteristics and lifestyle factors. Also, a high risk for OSA classification was associated with multiple comorbid health conditions.

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Association of overtime work hours with various stress responses in 59,021 Japanese workers: Retrospective cross-sectional study

PLoS ONE ◽

10.1371/journal.pone.0229506 ◽

2020 ◽

Vol 15 (3) ◽

pp. e0229506

Author(s):

Hiroyuki Kikuchi ◽

Yuko Odagiri ◽

Yumiko Ohya ◽

Yutaka Nakanishi ◽

Teruichi Shimomitsu ◽

...

Keyword(s):

Stress Responses ◽

Cross Sectional Study ◽

Work Hours ◽

Sectional Study ◽

Cross Sectional ◽

Overtime Work ◽

Japanese Workers

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Work-related psychosocial risk factors and psychiatric disorders: A cross-sectional study in the French working population

PLoS ONE ◽

10.1371/journal.pone.0233472 ◽

2020 ◽

Vol 15 (5) ◽

pp. e0233472

Author(s):

Astrid M. Chevance ◽

Oumou S. Daouda ◽

Alexandre Salvador ◽

Patrick Légeron ◽

Yannick Morvan ◽

...

Keyword(s):

Risk Factors ◽

Psychiatric Disorders ◽

Cross Sectional Study ◽

Psychosocial Risk Factors ◽

Psychosocial Risk ◽

Sectional Study ◽

Working Population ◽

Cross Sectional ◽

Work Related

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Sitting time and physical activity in the UK working population: A cross sectional study

Journal of Science and Medicine in Sport ◽

10.1016/j.jsams.2012.11.744 ◽

2012 ◽

Vol 15 ◽

pp. S305-S306

Author(s):

M. Duncan ◽

A. Kazi ◽

C. Haslam ◽

S. Clemes ◽

L. Kerr

Keyword(s):

Physical Activity ◽

Cross Sectional Study ◽

Sitting Time ◽

Sectional Study ◽

Working Population ◽

Cross Sectional ◽

The Uk

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MAJOR CARDIOVASCULAR RISK FACTORS IN A YOUNG WORKING POPULATION

CARDIOVASCULAR THERAPY AND PREVENTION ◽

10.15829/1728-8800-2013-3-40-42 ◽

2013 ◽

Vol 12 (3) ◽

pp. 40-42

Author(s):

N. A. Koryagina ◽

I. N. Ryamzina ◽

A. I. Shaposhnikova ◽

E. N. Koltyrina

Keyword(s):

Risk Factors ◽

Blood Pressure ◽

Cardiovascular Disease ◽

Body Mass Index ◽

Cardiovascular Risk ◽

Cross Sectional Study ◽

Sectional Study ◽

Working Population ◽

Cross Sectional ◽

Working People

Aim. To assess the prevalence of major risk factors (RFs) of cardiovascular disease (CVD) in a young working population.Material and methods. This cross-sectional study included 1832 respondents (70% men and 30% women; mean age 29,44±8,6 years). The levels of blood pressure (BP), total cholesterol (TCH), and body mass index (BMI), as well as the prevalence of smoking, were assessed.Results. Elevated office BP levels were registered in 10,5%, and isolated ambulatory arterial hypertension (AH) in 10%. Overall, AH prevalence in this young working population was 20%. Elevated BP was registered in 34,2% of individuals with hypercholesterolemia (TCH >5 mmol/l), compared to 18,2% in people with TCH <5 mmol/l (p<0,001).Conclusion. The most prevalent CVD RFs in working people under 40 were obesity and AH.

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Prevalence and health correlates of workplace violence and discrimination – a cross-sectional study among hospital employees in Switzerland

10.21203/rs.3.rs-989580/v1 ◽

2021 ◽

Author(s):

Alenka Stahl-Gugger ◽

Oliver Hämmig

Keyword(s):

Mental Health ◽

Workplace Violence ◽

Cross Sectional Study ◽

Prevalence Rates ◽

Sectional Study ◽

Working Population ◽

Cross Sectional ◽

Hospital Employees ◽

Forms Of Violence ◽

Nurses And Midwives

Abstract BackgroundViolence and discrimination are common events at work, especially in the health care setting. Nevertheless, comprehensive data on their prevalence and health correlates among the entirety of hospital staff is missing. Thisstudy aimed to estimate the prevalence of different self-reported forms of workplace violence and discrimination among hospital employees in Switzerland and to investigate the association between such experiences at work and the general and mental health status. MethodsThis cross-sectional study was based on secondary data from a company survey among five public hospitals and rehabilitation clinics in German-speaking Switzerland conducted in 2015/16 (N = 1,567). Relative frequencies of different forms of violence and discrimination at work were calculated for the entire study population and for the occupational subgroups. These prevalence data were compared with a representative sample of the general Swiss working population as a reference group. Multiple logistic regression analyses were further computed to investigate the association between the number of different experienced forms of violence and/or discrimination at work and several poor general and mental health outcomes (poor self-rated health, sleep disorders, psychological stress, mental problem, burnout). Results23% of hospital employees experienced at least one form of discrimination or violence at work in the past year, compared to 18% of the general working population. Nurses and midwives were by far the most affected occupational group regarding all forms of violence. More and particularly most exposed hospital employees with regard to experiences of violence and/or discrimination at work showed almost consistently increased prevalence rates and odds ratios for the studied poor mental and general health outcomes. Prevalence rates and adjusted odds ratios for strong sleep disorders, strong stress feelings and increased burnout symptoms were between three and four times higher among the most exposed compared to those hospital employees who did not make any of these experiences at work at all. ConclusionsStudy findings underline the importance of an active combat against violent and discriminatory behaviors in health care. Prevention strategies should particularly focus on nurses and midwives, which turned out to be the most affected and exposed group of all health professions.

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693 Combined effects of overtime work hours and exercise habits on psychological distress: a cross-sectional study among japanese white-collar workers

10.1136/oemed-2018-icohabstracts.1738 ◽

2018 ◽

Author(s):

Ayako Hino ◽

Yumi Wakida ◽

Yusuke Noguchi ◽

Haruka Ido ◽

Akiomi Inoue ◽

...

Keyword(s):

Psychological Distress ◽

White Collar ◽

Cross Sectional Study ◽

Work Hours ◽

Combined Effects ◽

Sectional Study ◽

Cross Sectional ◽

Exercise Habits ◽

Overtime Work ◽

White Collar Workers

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Depression risk assessment with digital biomarkers from wearables: a cross-sectional study with machine learning modelling (Preprint)

10.2196/preprints.24872 ◽

2020 ◽

Author(s):

Yuri Rykov ◽

Thuan-Quoc Thach ◽

Iva Bojic ◽

George Christopoulos ◽

Josip Car

Keyword(s):

Machine Learning ◽

Depressive Symptoms ◽

Circadian Rhythms ◽

Predictive Ability ◽

Cross Sectional Study ◽

Depression Screening ◽

Sectional Study ◽

Working Population ◽

Cross Sectional ◽

Digital Biomarkers

BACKGROUND Depression is a highly prevalent mental disorder, however it remains undiagnosed and untreated in half of cases. Wearable activity trackers collect fine-grained sensor data characterizing behavior and physiology of users, which could be used for timely, unobtrusive, and scalable depression screening. OBJECTIVE This study examined the predictive ability of digital biomarkers based on behavioral and physiological data from consumer-grade wearables to detect risk of depression in working population. METHODS This was a cross-sectional study of 290 healthy working adults. Participants wore Fitbit Charge 2 for two weeks and completed a health survey including screening for depressive symptoms. We extracted a range of known and novel digital biomarkers characterizing physical activity, sleep patterns, and circadian rhythms from wearables using steps, heart rate (HR), energy expenditure, and sleep data. Associations between severity of depressive symptoms and digital biomarkers were examined with Spearman correlation and multiple regression analyses adjusted for potential confounders. Supervised machine learning was used to predict risk of depression (symptoms’ severity and screening status) from digital biomarkers. For performance evaluation we used k-fold cross-validation and obtained accuracy measures from the holdout folds. RESULTS 267 participants were included into analysis. 38 (14%) participants had PHQ-9 score equal or above 10 and were identified as depressed. Greater severity of depressive symptoms was significantly associated with greater variation of night-time HR between 2:00–4:00 am and 4:00–6:00 am, lower regularity of weekday circadian rhythms based on steps and HR, and fewer steps-based daily peaks. Our model predicted depression screening outcome with 78% accuracy (sensitivity–82% and specificity–75%) in the contrasted subsample consisting of participants with high and the lowest risk of depression. CONCLUSIONS Discovered digital biomarkers from consumer wearables could indicate increased risk of depression in working population, yet current evidence shows limited predictive ability. Combination of these digital biomarkers could discriminate individuals with high risk of depression from individuals with the lowest risk.

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