scholarly journals Lifestyle Medicine Strategies for Combating Sleepiness and Fatigue in Professional Drivers - The "Highway 2 Health" study

2021 ◽  
Author(s):  
Ilias Ntoumas ◽  
Christina Karatzaferi ◽  
Efthimios Dardiotis ◽  
Giorgos K. Sakkas

Abstract Sleep has a number of health benefits, including memory and learning, vitality and energy as well as high quality of life levels. Lack of sleep impairs judgment, impacts longevity and safety, and increases the risk of a number of diseases including obesity, hypertension, heart disease, diabetes, mood disorders, and impaired immune function. In addition lack of sleep or disturbance of normal sleep cycle could have a major impact on people's lives and working performance such as driving. Daily sleepiness is a problem concerning professions with a non-fixed schedule. Specifically, professional long-haul drivers confront sleepiness problems and in combination with fatigue, they are prone to driving accidents and other incidents. Sleep quality and quantity are closed related to fatigue which is one of the most common reasons for driving and working accidents. In recent years, car accidents involving professional drives have increased significantly. The main reasons for those accidents were fatigue and sleepiness due to long hours of driving or difficult working conditions according to the recent European report (Driver Fatigue in European Road Transport - etf-europe.org).Lifestyle Medicine addresses health risk factors in primary, secondary, and tertiary prevention of developing disease rather than on acute care and reacting to illness, injury, and disease. Lifestyle Medicine strategies target modifiable risk factors, such as diet, sleep, stress, and physical activity. By applying those regimes the investigators could improve physical and mental health levels that can affect the quality of sleep, reducing daily sleepiness and fatigue, in professional drivers operating coaches and trucks. Any intervention that could improve alertness and reduce fatigue and sleepiness in those people, will automatically improve safety, reduce driving accidents and save lives and resources.The study is registered on the ClinicalTrials.gov public website (NCT05096130).

2011 ◽  
Vol 20 (4) ◽  
pp. 357-365 ◽  
Author(s):  
M. Bot ◽  
B. J. E. de Leeuw den Bouter ◽  
M. C. Adriaanse

Aims.To determine the prevalence of psychosocial problems among Dutch children aged 8–12 years and studying its association with risk factors and quality of life.Methods.This study was conducted within the framework of a community-based health study in the north-west region of the Netherlands. The cross-sectional study sample consisted of 2703 children (1392 boys and 1311 girls). Psychosocial problems and quality of life were measured with the extended version of the Strengths and Difficulties Questionnaire (SDQ) and KIDSCREEN-10, respectively. Questionnaires and data about risk factors (parental education level, ethnicity, family structure, income, chronic diseases and life events) were completed by the parents or caregivers.Results.The prevalence of psychosocial problems (SDQ score ≥14) in the total sample was 10.4%. The prevalence was higher in boys compared with girls (13.9% v. 6.6%, OR = 2.28; 95% CI = 1.75–2.97). Boys had significantly more hyperactivity/inattention, conduct, peer relationship and prosocial behaviour problems compared with girls. Risk factors associated with psychosocial problems were: one or more chronic disease(s), life event(s), a low parental educational level (for boys only) and an income under a modal level. Psychosocial problems were significantly inverse related with quality of life in the total sample (rho = −0.47).Conclusions.Psychosocial problems are common in children, especially among boys, and are inversely related with children's quality of life. The identified risk factors in this study can be useful for developing targeted prevention strategies aimed at children at high risk for psychosocial problems.


Author(s):  
Yunjie Luo ◽  
Yoko Sato

The COVID-19 pandemic has significantly affected individuals’ physical and mental health, including that of immigrant women. This study aimed to evaluate the health-related quality of life (HRQoL), identify the demographic factors and awareness of the COVID-19 pandemic contributing to physical and mental health, and examine the risk factors associated with poor physical and mental health of Chinese women in Japan following the COVID-19 pandemic outbreak. Using an electronic questionnaire survey, we collected data including items on HRQoL, awareness of the COVID-19 pandemic, and demographic factors. One hundred and ninety-three participants were analyzed. Approximately 98.9% of them thought that COVID-19 affected their daily lives, and 97.4% had COVID-19 concerns. Married status (OR = 2.88, 95%CI [1.07, 7.72], p = 0.036), high concerns (OR = 3.99, 95%CI [1.46, 10.94], p = 0.007), and no concerns (OR = 8.75, 95%CI [1.17, 65.52], p = 0.035) about the COVID-19 pandemic were significantly associated with poor physical health. Unmarried status (OR = 2.83, 95%CI [1.20, 6.70], p = 0.018) and high COVID-19 concerns (OR = 2.17, 95%CI [1.04, 4.56], p = 0.040) were significantly associated with poor mental health. It is necessary to provide effective social support for Chinese women in Japan to improve their well-being, especially in terms of mental health.


2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Brandi Patrice Smith ◽  
Esmeralda Cardoso-Mendoza ◽  
Jodi A. Flaws ◽  
Zeynep Madak-Erdogan ◽  
Rebecca L. Smith

AbstractPreviously, quality of life (Qol) has been defined as an individual’s evaluation of a satisfactory life as a whole (i.e. physically, mentally, psychologically, and socially). Only a few studies have examined the racial differences between QoL and risk factors associated with health, demographics, and lifestyle in midlife women. Thus, the purpose of our study was to determine racial differences in QoL in menopausal women due to lifestyle, demographic, and health related risk factors. A stratified ordinal logistic regression model was applied to self-reported questionnaire data from the Midlife Women’s Health Study (MWHS) to determine risk factors associated with QoL differences between White and Black women during the menopausal transition. In multivariable models, our results showed Black women who had 3 or 4 comorbidities were about 4 times as likely to have higher QoL compared to women who had 0 to 2 comorbidities (95% CI: 1.65,10.78). However, the number of comorbidities was not significantly associated with QoL in White women in univariate or multiple regression. Further, body mass index and income were not significant factors in QoL in Black women but were in White women. Overall, our results illustrate that differences in health, demographic, and lifestyle factors are associated with QoL during menopause. Also, we suggest that future studies evaluate stratified models between racial groups to determine race-specific risk factors related to quality of life.


2019 ◽  
Vol 09 (04) ◽  
pp. 261-265
Author(s):  
Samira Faiz ◽  
Farhan Muhammad Qureshi ◽  
Sehrish Zahra ◽  
Seema Nigah-e- Mumtaz

Objective: To identify the health status and well-being of the professional automobile drivers and associated risk factors that affect their health. Study Design and Setting: A cross-sectional study was conducted among 350 professional automobile drivers operating on local and long routes in Karachi, Pakistan Methodology: The study was done at various locations in the city of Karachi from September to November 2017. The subjects were asked for their personal health related complaints and medical illnesses. Further, this research also has the complimentary purpose to measure anxiety and depression among professional drivers. Anxiety was measured using the Generalized Anxiety Disorder-2 Item Scale (GAD-2) and Patient Health Questionnaire2-Item Depression Module (PHQ- 2) was used to measure, depression. SPSS version 21.0 was used for data entry and its analysis. A written informed consent about the study was provided to the subjects with questionnaire. This study was approved by the Institutional/Ethical review board of Karachi Institute of Medical Sciences (KIMS). Results: Amongst the 350 participants 48% were long route and 52% were local route automobile drivers. The result indicate that professional automobile drivers were suffering from backache (56%), Joint pain (36%), Hypertension (44%), Diabetes Mellitus (21%), Anxiety (87%) and Depression (38%). Tobacco addiction was found in (94%) of total respondents. Conclusion: Health status of the professional drivers and their well-being was found unsatisfactory. Multiple factors such as working environment and sociodemographic factors are inevitably linked to their health status and wellbeing


2020 ◽  
Author(s):  
Brandi Patrice Smith ◽  
Esmeralda Cardoso-Mendoza ◽  
Jodi A. Flaws ◽  
Zeynep Madak-Erdogan ◽  
Rebecca Lee Smith

Abstract Previously, quality of life (Qol) has been defined as an individual’s evaluation of a satisfactory life as a whole (i.e. physically, mentally, psychologically, and socially). Only a few studies have examined the racial differences between QoL, and risk factors associated with health, demographics, and lifestyle in midlife women. Thus, the purpose of our study is to determine racial differences in QoL in menopausal women due to lifestyle, demographic, and health related risk factors. A stratified ordinal logistic regression model was applied to self-reported questionnaire data from the Midlife Women's Health Study (MWHS) to determine risk factors associated with QoL differences between White and Black women during the menopausal transition. In multivariate models, our results showed Black women who had 3 or 4 comorbidities (moderate) were about 4 times as likely to have higher QoL compared to women who had 0 to 2 comorbidities (95% CI: 1.65,10.78). However, the number of comorbidities was not significantly associated with QoL in White women in univariate or multivariate analysis. Further, BMI and income were not significant factors in QoL in Black women but were in White women. Overall, our results illustrate that differences in health, demographic, and lifestyle factors are associated with QoL during menopause. Also, we suggest that future studies evaluate stratified models between racial groups to determine race-specific risk factors related to quality of life.


2020 ◽  
Author(s):  
Brandi Patrice Smith ◽  
Esmeralda Cardoso-Mendoza ◽  
Jodi A. Flaws ◽  
Zeynep Madak-Erdogan ◽  
Rebecca Lee Smith

Abstract Previously, quality of life (Qol) has been defined as an individual’s evaluation of a satisfactory life as a whole (i.e. physically, mentally, psychologically, and socially). Only a few studies have examined the racial differences between QoL, and risk factors associated with health, demographics, and lifestyle in midlife women. Thus, the purpose of our study is to determine racial differences in QoL in menopausal women due to lifestyle, demographic, and health related risk factors. A stratified ordinal logistic regression model was applied to self-reported questionnaire data from the Midlife Women's Health Study (MWHS) to determine risk factors associated with QoL differences between White and Black women during the menopausal transition. In multivariate models, our results showed Black women who had 3 or 4 comorbidities (moderate) were about 4 times as likely to have higher QoL compared to women who had 0 to 2 comorbidities (95% CI: 1.65,10.78). However, the number of comorbidities was not significantly associated with QoL in White women in univariate or multivariate analysis. Further, BMI and income were not significant factors in QoL in Black women but were in White women. Overall, our results illustrate that differences in health, demographic, and lifestyle factors are associated with QoL during menopause. Also, we suggest that future studies evaluate stratified models between racial groups to determine race-specific risk factors related to quality of life.


2020 ◽  
Author(s):  
Brandi Patrice Smith ◽  
Esmeralda Cardoso-Mendoza ◽  
Jodi A. Flaws ◽  
Zeynep Madak-Erdogan ◽  
Rebecca Lee Smith

Abstract Background Quality of Life (QoL) is a major indicator of an individual’s overall health. Only a few studies have examined the racial differences between QoL, and risk factors associated with health, demographics, and lifestyle in midlife women. Thus, the purpose of our study is to determine racial differences in QoL in menopausal women due to lifestyle, demographic, and health related factors. Methods A stratified ordinal logistic regression model was applied to self-reported questionnaire data from the Midlife Women's Health Study (MWHS) to determine risk factors associated with QoL differences between white and black women during the menopausal transition. Results In multivariate models, our results showed black women who had 3 or 4 comorbidities (moderate) were about 4 times as likely to have higher QoL compared to women who had 0 to 2 comorbidities (95% CI: 1.65,10.78). However, the number of comorbidities was not significantly associated with QoL in white women in univariate or multivariate analysis. Further, BMI, education, and income were not significant factors in QoL in black women but were in white women. Conclusions Overall, our results illustrate that differences in health, demographic, and lifestyle factors are associated with QoL during menopause. Also, we suggest that future studies evaluate stratified models between racial groups to determine race-specific risk factors related to quality of life.


Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Priscilla Vasquez ◽  
Ramon Durazo-Arvizu ◽  
David Marquez ◽  
Maria Argos ◽  
Melissa Lamar ◽  
...  

Background: Self-reported moderate to vigorous physical activity (MVPA) has been associated with better health-related quality of life (HRQoL), however research on quantitative MVPA in relation to HRQoL has been limited. In addition, the association of PA with physical and mental health components of HRQoL has not been examined. Hypothesis: Higher accelerometer-measured MVPA will be associated with better mental and physical HRQoL. Methods: Cross-sectional data from 12,179 adults ages 18-74 in 2008-11, who participated in HCHS/SOL and had complete data on key study variables. MVPA (minutes/week), measured by accelerometer, was grouped into 4 levels: inactive, low, moderate, and high. HRQoL was assessed using the Short-Form 12 (SF-12) questionnaire; the SF-12 mental and physical component summary (MCS; PCS) scores were computed (standardized to general US population norms with mean of 50 and standard deviation of 10; higher scores indicate better HRQoL). Multivariable linear regression models were used to derive adjusted means with 95% confidence intervals (CI) and to assess linear trends. All models were adjusted for covariates. The analyses were weighted for the study design and non-response. Results: PCS adjusted mean scores ranged from 46.8 (CI: 44.9, 48.6) among inactive persons to 51.3 (CI: 50.8, 51.8) among those with high levels of MVPA (p trend <0.001). No significant differences in MCS scores were observed across MVPA levels (p = 0.64). Conclusion: MVPA was positively associated with better self-perceived physical health-related quality of life. Our findings align with studies examining self-reported MVPA and HRQoL. Future prospective studies should evaluate whether increasing MVPA can lead to improvements in HRQoL among the US Hispanic/Latino population.


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