Association of insomnia with quality of life, work productivity, and activity impairment

Bolge, S.; Doan, Justin; Kannan, Hema; Baran, Robert W.

doi:10.1007/s11136-009-9462-6

Cited by 208 publications

(183 citation statements)

References 14 publications

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“…A stratified random sample framework was implemented to ensure representation across sex, age and ethnicity. The demographic profile of NHWS respondents has been shown to approximate that of the Current Population Survey of the US Census Bureau 11, 12…”

Section: Methodsmentioning

confidence: 96%

Impact of binge eating disorder on functional impairment and work productivity in an adult community sample in the United States

et al. 2017

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SummaryAimThis study compared functioning and productivity in individuals meeting Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM‐5) diagnostic criteria for binge eating disorder (BED) to those without BED.MethodsA sample of US adults from the National Health and Wellness Survey completed an Internet survey in October 2013. In addition to BED diagnostic criteria, the survey assessed functional impairment and productivity, respectively, using the Sheehan Disability Scale (SDS) and Work Productivity and Activity Impairment (WPAI) questionnaire. Differences between BED and non‐BED respondents were assessed using multivariate models controlling for factors, including age, sex and comorbidities.ResultsOf 22 397 respondents, 344 were categorised as BED respondents and 20 437 as non‐BED respondents. Compared with non‐BED respondents, BED respondents exhibited significantly (all P<.001) greater functional impairment on the SDS, as measured by mean±SD total (14.04±9.46 vs 3.41±6.36), work/school (3.86±3.62 vs 1.01±2.21), social life/leisure activities (5.29±3.49 vs 1.22±2.33) and family life/home responsibilities (4.89±3.44 vs 1.18±2.26) scores. Adjusted odds ratios (95% CIs) indicated that BED respondents were more impaired than non‐BED respondents on the work/school (4.24 [3.33–5.40]), social life/leisure activities (6.37 [4.97–8.15]) and family life/home responsibilities (5.76 [4.51–7.34]) domains of the SDS. On the WPAI, BED respondents reported significantly (all P<.001) higher percentages (mean±SD) of absenteeism (9.59%±19.97% vs 2.90%±12.95%), presenteeism (30.00%±31.64% vs 10.86%±20.07%), work productivity loss (33.19%±33.85% vs 12.60%±23.22%) and activity impairment (43.52%±34.36% vs 19.94%±27.22%) than non‐BED respondents.ConclusionsThe findings suggest individuals with BED experience considerable impairment in functioning and work productivity compared with individuals without BED.

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Section: Methodsmentioning

confidence: 96%

Impact of binge eating disorder on functional impairment and work productivity in an adult community sample in the United States

et al. 2017

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“…For regions outside the US, online recruitment was supplemented by offline recruitment to reach elderly people who may not have Internet access. Several peer‐reviewed publications have previously favourably compared the NHWS with other governmental sources 20, 21, 22. The NHWS sample for the current study includes only working‐age respondents aged 18‐64: 2013 US NHWS (N=58 500), 2013 EU5 NHWS (N=50 417), and 2013 China NHWS (N=17 987).…”

Section: Methodsmentioning

confidence: 99%

Benefits of quitting smoking on work productivity and activity impairment in the United States, the European Union and China

et al. 2017

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SummaryBackgroundSmoking has important health and economic consequences for individuals and society. This study expands the understanding of work‐related burden associated with smoking and benefit of smoking cessation across the US, European Union (EU) and China using large‐scale, representative survey methodology.MethodsData utilised the 2013 National Health and Wellness Survey in United States (US), EU5 (UK, France, Germany, Italy, and Spain) and China. Working‐aged respondents 18‐64 were used in the analyses (US N=58 500; EU5 N=50 417; China N=17 987) and were categorised into: current smokers, trying to quit, former smokers and never smokers. Generalised linear models controlling for demographics and health characteristics examined the relationship of smoking status with work productivity and activity impairment (WPAI‐GH). The WPAI‐GH measures were: absenteeism, presenteeism, overall work impairment, and activity impairment. Separately, current smokers were compared with those who quit 0‐4, 5‐10 and 11 or more years ago on WPAI‐GH end‐points.ResultsCurrent smokers reported greater absenteeism in the US and China and greater presenteeism, overall work impairment, and activity impairment than former and never smokers across the three regions. Those who quit even 0‐4 years ago demonstrated lower absenteeism, presenteeism, and activity impairment in China and lower presenteeism, overall work impairment, and activity impairment in the US and EU5.ConclusionsSmoking was associated with significant work productivity loss in the US, EU5 and China. The results suggest that quitting benefits extend to work productivity rapidly after cessation, serving to further encourage and promote the implementation of workplace cessation programs.

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“…A growing body of literature links workforce wellbeing to productivity particularly in terms of health as a component of well-being (5,9,14,15,18,(44)(45)(46)(47)(48). In the simplest terms, sickness absence has been shown to directly affect productivity (49).…”

Section: What Is the Nature Of Evidence Linking Well-being To Productmentioning

confidence: 99%

“…The critical issue however, is employer motivation, and the business case is the most important but not the only issue in motivation. Various reviews of the economic aspects of OSH stress the need for strengthening research and the business case, and the need for more emphasis on developing economic data and arguments (47,48,51,65).Should interventions aimed at improving wellbeing at work focus on more than work-related factors?The extensive body of literature that indicates well-being at work is part of a larger context strongly points to the need for interventions aimed at improving well-being at work to go beyond work-related factors (12,46,(70)(71)(72)(73)(74)(75)(76)(77)(78). A majority of workers' most prevalent and significant health conditions (eg, cardiovascular disease, cancer, obesity, diabetes, arthritis, substance abuse, and depression) are not caused solely by workplace hazards, but work can exacerbate many of these conditions (17,48,71,77,78).…”

mentioning

confidence: 99%

“…The extensive body of literature that indicates well-being at work is part of a larger context strongly points to the need for interventions aimed at improving well-being at work to go beyond work-related factors (12,46,(70)(71)(72)(73)(74)(75)(76)(77)(78). A majority of workers' most prevalent and significant health conditions (eg, cardiovascular disease, cancer, obesity, diabetes, arthritis, substance abuse, and depression) are not caused solely by workplace hazards, but work can exacerbate many of these conditions (17,48,71,77,78).…”

mentioning

confidence: 99%

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Well-being at work – overview and perspective

Schulte¹,

Vainio²

2010

Scand J Work Environ Health

197

145

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This paper provides an overview of and perspective on the concept of well-being at work. Well-being is a term that reflects not only on one's health but satisfaction with work and life. Well-being is a summative concept that characterizes the quality of working lives, including occupational safety and health (OSH) aspects, and it may be a major determinant of productivity at the individual, enterprise and societal levels. Based on a review of the literature and a recent conference, we suggest a model linking workforce well-being, productivity, and population well-being. To appraise the validity of the model, we consider five questions: (i) is there a robust and usable definition of workplace well-being? (ii) have the variables that influence well-being been aptly described and can they be measured and used in risk assessments? (iii) what is the nature of evidence that well-being is linked to productivity? (iv) what is the state of knowledge on the effectiveness of interventions to promote workplace well-being? and (v) should interventions aimed at improving well-being at work focus on more than work-related factors?Key terms health promotion; occupational safety and health; OSH; productivity; workplace.1 National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Cincinnati, Ohio, USA. 2 Finnish Institute of Occupational Health, Helsinki, Finland.Correspondence to: Dr P Schulte, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, 4676 Columbia Parkway, MS C-14, Cincinnati, Ohio 45226, USA. [E-mail: pschulte@cdc.gov] Maintaining the functioning of the workforce is increasingly a critical issue as workforces throughout the world age and worker shortages are projected due to lower fertility rates (1, 2). With these realities, nations are struggling to determine how they will meet social welfare, pension, and healthcare obligations, when the engine that supplies the financing -the workforce -is aging and increasingly impacted by chronic disease and disability (3-5). The key to maintaining the effective functioning of the workforce is the concept of wellbeing, which encompasses more than just one's state of health; it is also a reflection of one's satisfaction with work and life. This was recognized in what may turn out to be a landmark event, where 190 scientists and practitioners from more than 30 countries met on 10-12 February 2010 in Helsinki for the Towards Better Work and Well-being Conference, which focused on research and information on the well-being of workers (http://www.ttl.fi/en/press/Pages/pressrelease_5.aspx).The conference highlighted the need to understand an array of factors that affect workers' well-being and the extent to which well-being influences productivity. Many of the presentations indicated that to address worker well-being and productivity effectively, the traditional focus of occupational safety and health (OSH) must be expanded to include an understanding and assessment of those factors that lea...

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Association of insomnia with quality of life, work productivity, and activity impairment

Abstract: Insomnia is significantly associated with poorer physical and mental quality of life and work productivity loss and activity impairment.

Cited by 208 publications

References 14 publications

Impact of binge eating disorder on functional impairment and work productivity in an adult community sample in the United States

Impact of binge eating disorder on functional impairment and work productivity in an adult community sample in the United States

Benefits of quitting smoking on work productivity and activity impairment in the United States, the European Union and China

Well-being at work – overview and perspective

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