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Worksite health promotion and social inequalities in health.

ABSTRACT: It is well-documented that higher educated employees have better health than the lower educated. The workplace has been put forward as a contributor to this inequality. We extend previous work on workplace characteristics that could influence employee health by asking to what extent workplace health promotion (WHP) can account for the relation between education and health. Two ways in which WHP may relate to health inequalities are addressed: higher educated employees may be more likely to use WHP than lower educated employees and the effect of WHP on health may be stronger for higher educated than for lower educated employees. Using data from the European Sustainable Workforce Survey which contains information on over 11000 employees in 259 organisations, we test whether three types of WHP mediate or moderate the relation between education and health: healthy menus, sports facilities and health checks. We find that higher educated employees are in better health and that use of WHP positively relates to health. Use of healthy menus and sports facilities in the workplace can contribute to increasing health inequalities, as lower educated employees are less likely to make use of these. Health checks could contribute to diminishing health inequalities, as lower educated employees are more likely to use them compared to higher educated employees. The effect of WHP is not contingent on education. We advise stimulating lower educated employees to make more use of WHP, which can contribute to decreasing health inequalities.

SUBMITTER: van der Put AC

PROVIDER: S-EPMC6994707 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature

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Worksite health promotion and social inequalities in health.

van der Put Anne C AC Mandemakers Jornt J JJ de Wit John B F JBF van der Lippe Tanja T

SSM - population health 20200117

It is well-documented that higher educated employees have better health than the lower educated. The workplace has been put forward as a contributor to this inequality. We extend previous work on workplace characteristics that could influence employee health by asking to what extent workplace health promotion (WHP) can account for the relation between education and health. Two ways in which WHP may relate to health inequalities are addressed: higher educated employees may be more likely to use W ...[more]

PMID: 32021901

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Project description:BackgroundDeveloping, implementing and evaluating worksite health promotion requires dealing with all stakeholders involved, such as employers, employees, occupational physicians, insurance companies, providers, labour unions and research and knowledge institutes. Although worksite health promotion is becoming more common, empirical research on ethical considerations of worksite health promotion is scarce.MethodsWe explored the views of stakeholders involved in worksite health promotion in focus group discussions and we described the ethical considerations that result from differences between these views. The focus group discussions were organised per stakeholder group. Data were analysed according to the constant comparison method.ResultsOur analyses show that although the definition of occupational health is the same for all stakeholders, namely 'being able to perform your job', there seem to be important differences in the views on what constitutes a risk factor to occupational health. According to the employees, risk factors to occupational health are prevailingly job-related. Labour unions agree with them, but other stakeholders, including the employer, particularly see employee-related issues such as lifestyle behaviour as risk factors to occupational health. The difference in definition of occupational health risk factors translates into the same categorisation of worksite health promotion; employee-related activities and work-related activities. The difference in conceptualisation of occupational health risk factors and worksite health promotion resonates in the way stakeholders understand 'responsibility' for lifestyle behaviour. Even though all stakeholders agree on whose responsibility lifestyle behaviour is, namely that of the employee, the meaning of 'responsibility' differs between employees, and employers. For employees, responsibility means autonomy, while for employers and other stakeholders, responsibility equals duty. This difference may in turn contribute to ambivalent relationships between stakeholders.ConclusionAll stakeholders, including employees, should be given a voice in developing, implementing and evaluating worksite health promotion. Moreover, since stakeholders agree on lifestyle being the responsibility of the employee, but disagree on what this responsibility means (duty versus autonomy), it is of utmost importance to examine the discourse of stakeholders. This way, ambivalence in relationships between stakeholders could be prevented.

Project description:BackgroundThe Worksite Health Promotion Capacity Instrument (WHPCI) was developed to assess two key factors for effective worksite health promotion: collective willingness and the systematic implementation of health promotion activities in companies. This study evaluates the diagnostic qualities of the WHPCI based on its subscales Health Promotion Willingness and Health Promotion Management, which can be used to place companies into four different categories based on their level of health promotion capacity.MethodsPsychometric evaluation was conducted using exploratory factor and reliability analyses with data taken from a random sample of managers from n = 522 German information and communication technology (ICT) companies. Receiver operating characteristic (ROC) analyses were conducted to determine further diagnostic qualities of the instrument and to establish the cut-off scores used to determine each company's level of health promotion capacity.ResultsThe instrument's subscales, Health Promotion Willingness and Health Promotion Management, are based on one-dimensional constructs, each with very good reliability (Cronbach's alpha = 0.83/0.91). ROC analyses demonstrated satisfactory diagnostic accuracy with an area under the curve (AUC) of 0.76 (SE = 0.021; 95% CI 0.72-0.80) for the Health Promotion Willingness scale and 0.81 (SE = 0.021; 95% CI 0.77-0.86) for the Health Promotion Management scale. A cut-off score with good sensitivity (71%/76%) and specificity (69%/75%) was determined for each scale. Both scales were found to have good predictive power and exhibited good efficiency.ConclusionsOur findings indicate preliminary evidence for the validity and reliability of both subscales of the WHPCI. The goodness of each cut-off score suggests that the scales are appropriate for determining companies' levels of health promotion capacity. Support in implementing (systematic) worksite health promotion can then be tailored to each company's needs based on their current capacity level.

Project description:BackgroundPublic health strategies place increasing emphasis on opportunities to promote healthy behaviours within the workplace setting. Previous research has suggested worksite health promotion programmes have positive effects on physical activity and weight loss, yet little is known regarding their effects on dietary behaviour. The aim of this review was to assess the effects of worksite interventions on employee diets.MethodsElectronic databases (MEDLINE, The Cochrane Library, PsycINFO, EMBASE, LexisNexis) were searched for relevant articles published between 1995 and April 2009. Studies were eligible for inclusion if they were peer-reviewed English language publications describing a worksite-based health promotion intervention with minimum study duration of eight weeks. All study designs were eligible. Studies had to report one or more diet-related outcome (energy, fat, fruit, or vegetable intakes). Methodological quality was assessed using a checklist that included randomisation methods, use of a control group, and study attrition rates.ResultsSixteen studies were included in the review. Eight programmes focussed on employee education, and the remainder targeted change to the worksite environment, either alone or in combination with education. Study methodological quality was moderate. In general, worksite interventions led to positive changes in fruit, vegetable and total fat intake. However, reliance on self-reported methods of dietary assessment means there is a significant risk of bias. No study measured more robust outcomes such as absenteeism, productivity, or healthcare utilisation.ConclusionsThe findings of this review suggest that worksite health promotion programmes are associated with moderate improvement in dietary intake. The quality of studies to date has been frequently sub-optimal and further, well designed studies are needed in order to reliably determine effectiveness and cost-effectiveness. Future programmes to improve employee dietary habits should move beyond individual education and aim to intervene at multiple levels of the worksite environment.

Project description:BACKGROUND:In the United States, worksite wellness programs are more often offered by larger employers. The Massachusetts Working on Wellness (WoW) program is an innovative, statewide capacity-building model designed to increase the number of smaller employers (200 or fewer workers) adopting health promotion initiatives. This article describes the WoW program design and approaches to recruitment, implementation, and evaluation. METHODS/DESIGN:WoW provides employer training, technical assistance and seed funding, utilizing a Wellness Program Development framework based on recognized good practices. For-profit employers with 200 employees or fewer are eligible for and encouraged to apply for a Massachusetts Small Business Wellness Tax Credit. During the phase described in this paper, employer organizations applied to the program and committed to designating a champion responsible for program implementation. Interventions were to include policy and environmental supports, as well as those targeting individual behavior change through raising awareness and education. Supports provided to employers included seed grants for qualifying activities (up to $10,000 with matching required), community linkages, data collection and organization-specific feedback tools, an on-line curriculum supplemented with technical assistance, and an expert webinar series. Data collection at multiple time points, from the initial application through program completion, provides information for evaluation of recruitment, planned and completed activities. DISCUSSION:This model is grounded in literature on good practices as well as in local knowledge about Massachusetts employers. It does not directly address the influence of working conditions, which can affect both worker participation and health behaviors. Implementation may be less successful with some organizations, such as those with many workers who are part-time or geographically distributed rather than in a centralized physical location. Program evaluation will assess the extent to which WoW achieves its goals. The data are expected to increase understanding of the needs of smaller employers and industries not traditionally implementing employee wellness programs.

Project description:BACKGROUND: Numerous worksite health promotion program (WHPPs) have been implemented the past years to improve employees' health and lifestyle (i.e., physical activity, nutrition, smoking, alcohol use and relaxation). Research primarily focused on the effectiveness of these WHPPs. Whereas process evaluations provide essential information necessary to improve large scale implementation across other settings. Therefore, this review aims to: (1) further our understanding of the quality of process evaluations alongside effect evaluations for WHPPs, (2) identify barriers/facilitators affecting implementation, and (3) explore the relationship between effectiveness and the implementation process. METHODS: Pubmed, EMBASE, PsycINFO, and Cochrane (controlled trials) were searched from 2000 to July 2012 for peer-reviewed (randomized) controlled trials published in English reporting on both the effectiveness and the implementation process of a WHPP focusing on physical activity, smoking cessation, alcohol use, healthy diet and/or relaxation at work, targeting employees aged 18-65 years. RESULTS: Of the 307 effect evaluations identified, twenty-two (7.2%) published an additional process evaluation and were included in this review. The results showed that eight of those studies based their process evaluation on a theoretical framework. The methodological quality of nine process evaluations was good. The most frequently reported process components were dose delivered and dose received. Over 50 different implementation barriers/facilitators were identified. The most frequently reported facilitator was strong management support. Lack of resources was the most frequently reported barrier. Seven studies examined the link between implementation and effectiveness. In general a positive association was found between fidelity, dose and the primary outcome of the program. CONCLUSIONS: Process evaluations are not systematically performed alongside effectiveness studies for WHPPs. The quality of the process evaluations is mostly poor to average, resulting in a lack of systematically measured barriers/facilitators. The narrow focus on implementation makes it difficult to explore the relationship between effectiveness and implementation. Furthermore, the operationalisation of process components varied between studies, indicating a need for consensus about defining and operationalising process components.

Project description:BackgroundHousehold financial debt has more than tripled since the 1980s in the United States. The experience of indebtedness is socially structured and there is mounting evidence that debt is linked to decrements in health. However, it is unclear whether debt contributes to social disparities in health.ObjectiveWe examined whether household debt, measured by debt in excess of income and wealth, mediated education-based social inequalities in health, including cardiovascular risk factors (hypertension) and chronic conditions (diabetes, coronary heart disease, and psychiatric problems).MethodWe used longitudinal data from a sample of over 10,500 adults aged 18 years and older surveyed biennially between 1999 and 2015 as part of the Panel Study of Income Dynamics (PSID). We estimated the total effect of education on our health outcomes. To assess mediation by levels of household debt, we then estimated the controlled direct effect of education through pathways not mediated by levels of household debt, after accounting for lagged time-varying confounders and loss to follow-up using marginal structural models.ResultsCompared to respondents with at least a high school education, respondents with less than a high school education reported higher household debts in excess of income and wealth; they also reported a higher incidence of hypertension [risk ratio (RR) = 1.25, 95%CI = 1.13, 1.39), coronary heart disease (RR = 1.42, 95%CI: 1.25, 1.62), diabetes (RR = 1.50, 95%CI: 1.34, 1.68), and psychiatric problems (RR = 1.39, 95%CI: 1.24, 1.56). Compared to the total effects, the controlled direct effects of education on health were attenuated, particularly for death or first onset of hypertension and coronary heart disease, after fixing levels of household debt-to-income and debt-to-wealth.ConclusionOur results provide early evidence that household debt in excess of wealth partly mediates education-based inequalities in hypertension and coronary heart disease in the United States, with less consistent evidence for other chronic conditions.

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Worksite health promotion and social inequalities in health.

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Worksite health promotion and social inequalities in health.

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