scholarly journals Poor sleep quality, long working hours and fatigue in coastal areas: a dangerous combination of silent risk factors for deck officers on oil tankers

2020 ◽  
Vol 71 (4) ◽  
pp. 237-248
Author(s):  
Farhad Azimi Yancheshmeh ◽  
S. Hossain Mousavizadegan ◽  
Amin Amini ◽  
Andrew P. Smith ◽  
Reza Kazemi
Keyword(s):  
Risk Factors ◽  
Sleep Quality ◽  
Working Hours ◽  
Coastal Areas ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Long Working Hours ◽  
Oil Tankers

scholarly journals Long Working Hours, Poor Sleep Quality, and Non-Officer Task: Determinant Factors of Fatigue Among Indonesian Tugboat Crews

2020 ◽  
Author(s):  
Muchtaruddin Mansyur ◽  
Risna Sagitasari ◽  
Grace Wangge ◽  
Astrid Sulistomo ◽  
Aria Kekalih
Keyword(s):  
Alcohol Consumption ◽  
Sleep Quality ◽  
Marital Status ◽  
Family Conflict ◽  
Smoking Habit ◽  
Working Hours ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Long Working Hours ◽  
Occupational Factors

Abstract Background Tugboat crews are susceptible to fatigue their 24-hour stay in the working environment even in their rest time. The fatigue experienced by the seafarers contributes to marine accidents and metabolic and cardiovascular diseases which are long-term effects. This study aimed to analyze the association between working hours and fatigue, along with other possible related factors in tugboat crews. Method: This comparative cross-sectional study included 127 tugboat crew members from a randomly chosen tugboat in Samarinda Harbor, Indonesia. Their fatigue levels at work were subjectively measured using the reaction timer and standardized instrument questionnaire. Data on the crews' personal and occupational factors included age, marital status, rating (job position), duration on board, length of seafaring experience, watch system, smoking habit, coffee and alcohol consumption, and working hours. Moreover, sleep quality and levels of stress-related to the family conflict were measured and analyzed using the Pittsburgh Sleep Quality Index (PSQI) and Work-Family Conflict Scale (WCFS), respectively. Results It was found that 40.2% of the subjects experienced fatigue due to long working hours (≥ 72 hours/week), poor sleep quality, and being non-officer crews, with adj. OR and 95%CI values of (12.76; 3.91–41.70), (5.84; 1.67–20.47), and (4.38; 1.28–14.92), respectively. However, the variables of crews' characteristics and occupational factors included age, marital status, duration on board, length of seafaring experience, smoking habit, coffee and alcohol consumption were not statistically associated with the crews' fatigue. Conclusion The incidence of fatigue among Indonesian tugboat crews is considerably high. Working hours, sleep quality, and job rating were strongly associated with fatigue in tugboat crews. Working hours monitoring of tugboats crews needs to be improved.

scholarly journals Long working hours, poor sleep quality, and work-family conflict: determinant factors of fatigue among Indonesian tugboat crewmembers

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Muchtaruddin Mansyur ◽  
Risna Sagitasari ◽  
Grace Wangge ◽  
Astrid B. Sulistomo ◽  
Aria Kekalih
Keyword(s):  
Alcohol Consumption ◽  
Sleep Quality ◽  
Family Conflict ◽  
Smoking Status ◽  
Working Hours ◽  
Poor Sleep ◽  
Work Family Conflict ◽  
Poor Sleep Quality ◽  
Long Working Hours ◽  
Work Family

Abstract Background Tugboat crewmembers are susceptible to fatigue during their 24-h work shifts, despite the availability of rest time. The fatigue experienced by seafarers contributes to marine accidents and metabolic and cardiovascular diseases, which have long-term effects. This study aimed to analyse the association between working hours and fatigue and other possibly related factors in tugboat crewmembers. Method This comparative cross-sectional study included 127 tugboat crew members from 15 randomly chosen tugboats in Samarinda Harbor, Indonesia. Their fatigue levels while at work were measured using a reaction timer and standardised questionnaire. Personal and occupational data of crewmembers, including age, marital status, rating (job ranking), duration on board, length of seafaring experience, watch system, smoking status, coffee and alcohol consumption, and working hours, were collected. Moreover, sleep quality and stress levels related to work-family conflict were measured and analysed using the Pittsburgh Sleep Quality Index (PSQI) and Work-Family Conflict Scale (WCFS), respectively. Results The study found that 40.2% of the subjects were classified as having fatigue. The determinant factors were long working hours (> 72 h/week), poor sleep quality, and work-family conflict [adj. OR = 13.32; 95%-CI (4.78–31.23)] and p < 0.001, [adj. OR = 4.49 (1.39–14.52)] and p = 0.012, [adj. OR = 2.87 (1.12–7.33)] and p = 0.028, respectively. However, personal and occupational factors, including age, marital status, duration on board, length of seafaring experience, smoking status, and coffee and alcohol consumption, were not significantly associated with crewmember fatigue. Conclusion The incidence of fatigue among Indonesian tugboat crewmembers operating on the Mahakam River was considerably high. Working hours, sleep quality, and work-family conflict were strongly associated with fatigue in tugboat crewmembers; therefore, the working hours of tugboat crewmembers need to be improved. Crewmember lifestyle variables need to be studied further.

scholarly journals The prevalence and risk factors for depressive symptoms in frontline nurses under COVID-19 pandemic based on a large cross-sectional study using the propensity score-matched method

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Hongyan Wang ◽  
Xiaoling Dai ◽  
Zichuan Yao ◽  
Xianqing Zhu ◽  
Yunzhong Jiang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Depressive Symptoms ◽  
Sleep Quality ◽  
Psychological Capital ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Sectional Study ◽  
Poor Sleep Quality ◽  
Related Factors ◽  
Cross Sectional

Abstract Introduction To explore the prevalence of depressive symptoms and the associated risk factors in frontline nurses under COVID-19 pandemic. Methods This cross-sectional study was conducted from February 20, 2020 to March 20, 2020 and involved 562 frontline nurses. The effective response rate was 87.68%. After propensity score matched, there were 498 participants left. Extensive characteristics, including demographics, dietary habits, life-related factors, work-related factors, and psychological factors were collected based on a self-reported questionnaire. Specific scales measured the levels of sleep quality, physical activity, depressive symptoms, perceived organization support and psychological capital. Adjusted odds ratios and 95% confidence intervals were determined by binary paired logistic regression. Results Of the nurses enrolled in the study, 50.90% had depressive symptoms. Three independent risk factors were identified: poor sleep quality (OR = 1.608, 95% CI: 1.384–1.896), lower optimism of psychological capital (OR = 0.879, 95% CI: 0.805–0.960) and no visiting friend constantly (OR = 0.513, 95% CI: 0.286–0.920). Conclusions This study revealed a considerable high prevalence of depressive symptoms in frontline nurses during the COVID-19 outbreak, and identified three risk factors, which were poor sleep quality, lower optimism of psychological capital, and no visiting friend constantly. Protecting mental health of nurses is important for COVID-19 pandemic control and their wellbeing. These findings enrich the existing theoretical model of depression and demonstrated a critical need for additional strategies that could address the mental health in frontline nurses for policymakers.

scholarly journals Association between Cluster of Lifestyle Behaviors and HOMA-IR among Adolescents: ABCD Growth Study

Medicina ◽  
2018 ◽  
Vol 54 (6) ◽  
pp. 96 ◽  
Author(s):  
André Werneck ◽  
Ricardo Agostinete ◽  
Suziane Cayres ◽  
Jacqueline Urban ◽  
Andréa Wigna ◽  
...  
Keyword(s):  
Risk Factors ◽  
Insulin Resistance ◽  
Sleep Quality ◽  
Poor Sleep ◽  
Lifestyle Behaviors ◽  
Poor Sleep Quality ◽  
Growth Study ◽  
Tv Viewing ◽  
Body Fatness ◽  
Skipping Breakfast

Objective: To analyze the association of potential risk factors to health with body fatness and insulin resistance. Baseline measures of the ongoing longitudinal Analysis of Behaviors of Children During (ABCD) Growth Study. Materials and Methods: The sample was composed of 280 adolescents of both sexes (198 boys and 82 girls) aged from 10 to 18 years. Four risk factors were considered, as follows: no sports practice, skipping breakfast, poor sleep quality, and TV viewing. The outcomes considered were insulin resistance (HOMA-IR) and body fatness (densitometer scanner). Age, sex, maturity offset, and ethnicity were treated as covariates. Results: No sports practice and skipping breakfast were associated with higher body fatness (Sports practice: Wald: 8.786; p = 0.003. Breakfast: Wald: 9.364; p = 0.002). Poor sleep quality was related to a greater HOMA-IR index (Wald: 6.013; p = 0.014). Adolescents with ≥3 risk factors presented a higher risk of high HOMA-IR (OR = 4.89 (95%CI: 1.61 to 14.84)) than their counterparts with no risk factors. Conclusion: Lifestyle risk factors seem relevant to affect obesity and insulin resistance, while the aggregation of these risk factors affects insulin resistance, independent of adiposity.

Prevalence and risk factors of poor sleep quality and fatigue during exam periods in university students

2017 ◽  
Author(s):  
Izolde Bouloukaki ◽  
George Stathakis ◽  
Athina Koloi ◽  
Ekaterini Bakiri ◽  
Maria Moudatsaki ◽  
...  
Keyword(s):  
Risk Factors ◽  
University Students ◽  
Sleep Quality ◽  
Poor Sleep ◽  
Poor Sleep Quality

scholarly journals The prevalence of poor sleep quality and associated risk factors among Chinese elderly adults in nursing homes: a cross-sectional study

2019 ◽  
Author(s):  
Zhao Hu ◽  
Xidi Zhu ◽  
Yunhan Yu ◽  
Huilan Xu
Keyword(s):  
Risk Factors ◽  
Social Support ◽  
Chronic Disease ◽  
Nursing Homes ◽  
Sleep Quality ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Elderly Adults ◽  
Poor Sleep Quality ◽  
Cross Sectional

Abstract Background: Sleep problems have become the most common complaints among elderly adults. There are a few studies indentified prevalence of poor sleep quality and its associated factors in nursing home setting.Therefore, our study aim to examine the prevalence of poor sleep quality, its risk factors, and their interactions among Chinese elderly adults in nursing homes. Methods: A total of 817 elderly residents from 24 nursing homes were included in this cross-sectional study. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI), and poor sleep quality was defined as PSQI >5. Multiple binary logistic regression was used to estimate adjusted odds ratios (AORs) and 95% confidence intervals (CIs) between risk factors and poor sleep quality. An additional interaction model was used to analyse the interaction between risk factors. Results: The prevalence of poor sleep quality was 67.3% (95% CI: 64.0, 70.5%) among elderly adults in nursing homes. Multiple binary logistic regression results showed that participants with the following characteristics had an increased risk of poor sleep quality after adjustments for other confounders: being 70-79 years old (AOR: 1.81, 95% CI: 1.10, 2.97) or 80 years old and above (AOR: 2.64, 95% CI: 1.67, 4.17); having less than 7 years of education (AOR: 1.59, 95% CI: 1.08, 2.33); having one to two kinds of chronic diseases (AOR: 2.26, 95% CI: 1.53, 3.32) or three or more kinds of chronic disease (AOR: 2.81, 95% CI: 1.65, 4.76); having depression (AOR: 3.13, 95% CI: 2.04, 4.81), anxiety (AOR: 3.42, 95% CI: 1.68, 6.97), and lower social support (AOR: 1.57, 95% CI: 1.11, 2.21). Additive interactions were detected between age and anxiety (AOR: 8.34, 95% CI: 4.43, 15.69), between chronic disease and anxiety (AOR: 8.61, 95% CI; 4.28, 17.31) and between social support and anxiety (AOR: 6.43, 95% CI: 3.22, 12.86). Conclusions: The prevalence of poor sleep quality in nursing homes is relatively high. Anxiety has additive interactions with age, chronic disease and social support for poor sleep quality. These findings have significant implications for interventions that aim to improve sleep quality among elderly residents in nursing homes.

scholarly journals Poor Sleep Quality is Independently Associated with Cardiometabolic Risk Factors

2018 ◽  
Vol 32 (S1) ◽  
Author(s):  
Kevin L. Smith ◽  
Angelica R. Boeve ◽  
Virend K. Somers ◽  
Jan Bukartyk ◽  
Erik K. St Louis ◽  
...  
Keyword(s):  
Risk Factors ◽  
Sleep Quality ◽  
Cardiometabolic Risk ◽  
Cardiometabolic Risk Factors ◽  
Poor Sleep ◽  
Poor Sleep Quality

scholarly journals The prevalence and risk factors for anxiety in frontline nurses under COVID-19 pandemic based on a large cross-sectional study using the propensity score-matched method

2021 ◽  
Author(s):  
Qingyun Zhao ◽  
Zichuan Yao ◽  
Xianqing Zhu ◽  
Yunzhong Jiang ◽  
Chunyu Pan
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Sleep Quality ◽  
Psychological Capital ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Sectional Study ◽  
Poor Sleep Quality ◽  
Related Factors ◽  
Cross Sectional

Abstract Introduction: We determined the prevalence of anxiety and the associated risk factors in in frontline nurses under COVID-19 pandemic. Methods: This cross-sectional study was conducted from February 20, 2020 to March 20, 2020 and involved 562 frontline nurses. The effective response rate was 87.68%. After propensity score matched, there were 532 participants left. Extensive characteristics, including demographics, dietary habits, life-related factors, work-related factors, and psychological factors were collected based on a self-reported questionnaire. Specific scales measured the levels of sleep quality, physical activity, anxiety, perceived organization support and psychological capital. Adjusted odds ratios and 95% confidence intervals were determined by binary paired logistic regression.Results: Of the nurses enrolled in the study, 33.60% had anxiety. Five independent risk factors were identified for anxiety: poor sleep quality (OR=1.235), experienced major events (OR=1.653), lower resilience and optimism of psychological capital (OR=0.906, and OR=0.909) and no visiting friend constantly (OR=0.629). Conclusions: This study revealed a considerable high prevalence of anxiety in frontline nurses during the COVID-19 outbreak, and identified five risk factors, which were poor sleep quality, experienced major events, lower resilience and optimism of psychological capital, and no visiting friend rarely. Protecting mental health of nurses is important for COVID-19 pandemic control and their wellbeing. These findings enrich the existing theoretical model of anxiety and demonstrated a critical need for additional strategies that could address the mental health in frontline nurses for policymakers.

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