Dataset Information

Association of work-related and leisure-time physical activity with workplace food purchases, dietary quality, and health of hospital employees.

ABSTRACT: BACKGROUND:While leisure-time physical activity (PA) has been associated with reduced risk of cardiometabolic disease, less is known about the relationship between work-related PA and health. Work-related PA is often not a chosen behavior and may be associated with lower socioeconomic status and less control over job-related activities. This study examined whether high work-related PA and leisure-time PA reported by hospital employees were associated with healthier dietary intake and reductions in cardiometabolic risk. METHODS:This was a cross-sectional analysis of 602 hospital employees who used workplace cafeterias and completed the baseline visit for a health promotion study in 2016-2018. Participants completed the International Physical Activity Questionnaire and clinical measures of weight, blood pressure, HbA1c, and lipids. Healthy Eating Index (HEI) scores were calculated from two 24-h dietary recalls, and a Healthy Purchasing Score was calculated based on healthfulness of workplace food/beverage purchases. Regression analyses examined Healthy Purchasing Score, HEI, and obesity, hypertension, hyperlipidemia, and diabetes/prediabetes by quartile of work-related PA, leisure-time PA, and sedentary time. RESULTS:Participants' mean age was 43.6?years (SD?=?12.2), 79.4% were female, and 81.1% were white. In total, 30.3% had obesity, 20.6% had hypertension, 26.6% had prediabetes/diabetes, and 32.1% had hyperlipidemia. Median leisure-time PA was 12.0 (IQR: 3.3, 28.0) and median work-related PA was 14.0 (IQR: 0.0, 51.1) MET-hours/week. Higher leisure-time PA was associated with higher workplace Healthy Purchasing Score and HEI (p's?

SUBMITTER: Feig EH

PROVIDER: S-EPMC6882114 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Association of work-related and leisure-time physical activity with workplace food purchases, dietary quality, and health of hospital employees.

Feig Emily H EH Levy Douglas E DE McCurley Jessica L JL Rimm Eric B EB Anderson Emma M EM Gelsomin Emily D ED Thorndike Anne N AN

BMC public health 20191127 1

<h4>Background</h4>While leisure-time physical activity (PA) has been associated with reduced risk of cardiometabolic disease, less is known about the relationship between work-related PA and health. Work-related PA is often not a chosen behavior and may be associated with lower socioeconomic status and less control over job-related activities. This study examined whether high work-related PA and leisure-time PA reported by hospital employees were associated with healthier dietary intake and red ...[more]

PMID: 31775714

Similar Datasets

Project description:BackgroundEmployed adults may skip meals due to time or financial constraints, challenging work schedules, or limited workplace food choices. Little is known about the relationship between employees' meal skipping patterns and workplace dietary choices and health.ObjectiveTo examine whether hospital employees' meal skipping patterns were associated with workplace food purchases, dietary quality, and cardiometabolic risk factors (ie, obesity, hypertension, and prediabetes/diabetes).DesignThis is a secondary cross-sectional analysis of baseline data from the ChooseWell 365 randomized controlled trial. Employees reported meal-skipping frequency in a baseline survey. The healthfulness of workplace food purchases was determined with a validated Healthy Purchasing Score (HPS) (range = 0 to 100 where higher scores = healthier purchases) calculated using sales data for participants' purchases in the 3 months before study enrollment. Dietary quality was measured with the 2015 Healthy Eating Index (range = 0 to 100 where higher score = healthier diet) from two 24-hour recalls. Cardiometabolic risk factors were ascertained from clinic measurements.Participants/settingParticipants were 602 hospital employees who regularly visited workplace cafeterias and enrolled in ChooseWell 365, a workplace health promotion study in Boston, MA, during 2016-2018.Main outcome measuresPrimary outcomes were HPS, 2015 Healthy Eating Index, and cardiometabolic risk factors.Statistical analysesRegression analyses examined differences in HPS, 2015 Healthy Eating Index, and cardiometabolic variables by meal skipping frequency, adjusting for demographic characteristics.ResultsParticipants' mean (standard deviation) age was 43.6 (12.2) years and 478 (79%) were women. Overall, 45.8% skipped breakfast, 36.2% skipped lunch, and 24.9% skipped dinner ≥ 1 day/week. Employees who skipped breakfast ≥ 3 days/week (n = 102) had lower HPS (65.1 vs 70.4; P < 0.01) and 2015 Healthy Eating Index score (55.9 vs 62.8; P < 0.001) compared with those who never skipped. Skipping lunch ≥ 3 days/week and dinner ≥ 1 day/week were associated with significantly lower HPS compared with never skipping. Employees who worked nonstandard shifts skipped more meals than those who worked standard shifts. Meal skipping was not associated with obesity or other cardiometabolic variables.ConclusionsSkipping meals was associated with less healthy food purchases at work, and skipping breakfast was associated with lower dietary quality. Future research to understand employees' reasons for skipping meals may inform how employers could support healthier dietary intake at work.

Project description:BACKGROUND:Shift work can be demanding owing to disturbances in the biological and social rhythms. This can cause short-term negative effects in employees, such as increased fatigue and reduced alertness. A potential way to counteract these negative effects is to enhance employees' recovery from work during working hours. OBJECTIVE:The aim of this study is to develop and implement an intervention that focuses on promoting "on-job" recovery of shift workers. METHODS:This study is performed in 2 department units with shift workers at a multinational company in the steel industry. For each department, an intervention will be developed and implemented through an iterative process of user-centered design and evaluation. This approach consists of various sessions in which employees and a project group (ie, researchers, line managers, human resource managers, and occupational health experts) provide input on the intervention content and implementation. Intervention effects will be evaluated using pretest and posttest web-based surveys. Digital ecological momentary assessment will be performed to gain insight into the link between the intervention and daily within-person processes. The intervention process and participants' perception of the interventions will be assessed through a process evaluation. Intervention results will be analyzed by performing mixed model repeated measures analyses and multilevel analyses. RESULTS:This study is supported by the Netherlands Organization for Applied Scientific Research Work and Health Research Program, which is funded by the Ministry of Economic Affairs and supported by the Dutch Ministry of Social Affairs and Employment, program number 19.204.1-3. This study was approved by the institutional review board on February 7, 2019. From June to August 2019, baseline data were collected, and from November to December 2019, the first follow-up data were collected. The second follow-up data collection and data analysis are planned for the first two quarters of 2020. Dissemination of the results is planned for the last two quarters of 2020. CONCLUSIONS:A strength of this study design is the participatory action approach to enhance the stakeholder commitments, intervention adherence, and compliance. Moreover, since the target group will be participating in the development and implementation of the intervention, the proposed impact will be high. In addition, the short-term as well as the long-term effects will be evaluated. Finally, this study uses a unique combination of quantitative and qualitative evaluation methods. A limitation of this study is that it is impossible to randomly assign participants to an intervention or control group. Furthermore, the follow-up period (6 months) might be too short to establish health-related effects. Lastly, the results of this study might be specific to the department, organization, or sector, which limits the generalizability of the findings. However, as workplace intervention research for shift workers is scarce, this study might serve as a starting point for future research on shift work interventions.

Project description:OBJECTIVE:To evaluate the costs, benefits and cost-effectiveness of complex workplace dietary interventions, involving nutrition education and system-level dietary modification, from the perspective of healthcare providers and employers. DESIGN:Single-study economic evaluation of a cluster-controlled trial (Food Choice at Work (FCW) study) with 1-year follow-up. SETTING:Four multinational manufacturing workplaces in Cork, Ireland. PARTICIPANTS:517 randomly selected employees (18-65 years) from four workplaces. INTERVENTIONS:Cost data were obtained from the FCW study. Nutrition education included individual nutrition consultations, nutrition information (traffic light menu labelling, posters, leaflets and emails) and presentations. System-level dietary modification included menu modification (restriction of fat, sugar and salt), increase in fibre, fruit discounts, strategic positioning of healthier alternatives and portion size control. The combined intervention included nutrition education and system-level dietary modification. No intervention was implemented in the control. OUTCOMES:The primary outcome was an improvement in health-related quality of life, measured using the EuroQoL 5 Dimensions 5 Levels questionnaire. The secondary outcome measure was reduction in absenteeism, which is measured in monetary amounts. Probabilistic sensitivity analysis (Monte Carlo simulation) assessed parameter uncertainty. RESULTS:The system-level intervention dominated the education and combined interventions. When compared with the control, the incremental cost-effectiveness ratio (€101.37/quality-adjusted life-year) is less than the nationally accepted ceiling ratio, so the system-level intervention can be considered cost-effective. The cost-effectiveness acceptability curve indicates there is some decision uncertainty surrounding this, arising from uncertainty surrounding the differences in effectiveness. These results are reiterated when the secondary outcome measure is considered in a cost-benefit analysis, whereby the system-level intervention yields the highest net benefit (€56.56 per employee). CONCLUSIONS:System-level dietary modification alone offers the most value per improving employee health-related quality of life and generating net benefit for employers by reducing absenteeism. While system-level dietary modification strategies are potentially sustainable obesity prevention interventions, future research should include long-term outcomes to determine if improvements in outcomes persist. TRIAL REGISTRATION NUMBER:ISRCTN35108237; Post-results.

Project description:BackgroundThe influence of genetic risk for obesity on food choice behaviors is unknown and may be in the causal pathway between genetic risk and weight gain. The aim of this study was to examine associations between genetic risk for obesity and food choice behaviors using objectively assessed workplace food purchases.Methods and findingsThis study is a secondary analysis of baseline data collected prior to the start of the "ChooseWell 365" health-promotion intervention randomized control trial. Participants were employees of a large hospital in Boston, MA, who enrolled in the study between September 2016 and February 2018. Cafeteria sales data, collected retrospectively for 3 months prior to enrollment, were used to track the quantity (number of items per 3 months) and timing (median time of day) of purchases, and participant surveys provided self-reported behaviors, including skipping meals and preparing meals at home. A previously validated Healthy Purchasing Score was calculated using the cafeteria traffic-light labeling system (i.e., green = healthy, yellow = less healthy, red = unhealthy) to estimate the healthfulness (quality) of employees' purchases (range, 0%-100% healthy). DNA was extracted and genotyped from blood samples. A body mass index (BMI) genome-wide polygenic score (BMIGPS) was generated by summing BMI-increasing risk alleles across the genome. Additionally, 3 polygenic risk scores (PRSs) were generated with 97 BMI variants previously identified at the genome-wide significance level (P < 5 × 10-8): (1) BMI97 (97 loci), (2) BMICNS (54 loci near genes related to central nervous system [CNS]), and (3) BMInon-CNS (43 loci not related to CNS). Multivariable linear and logistic regression tested associations of genetic risk score quartiles with workplace purchases, adjusted for age, sex, seasonality, and population structure. Associations were considered significant at P < 0.05. In 397 participants, mean age was 44.9 years, and 80.9% were female. Higher genetic risk scores were associated with higher BMI. The highest quartile of BMIGPS was associated with lower Healthy Purchasing Score (-4.8 percentage points [95% CI -8.6 to -1.0]; P = 0.02), higher quantity of food purchases (14.4 more items [95% CI -0.1 to 29.0]; P = 0.03), later time of breakfast purchases (15.0 minutes later [95% CI 1.5-28.5]; P = 0.03), and lower likelihood of preparing dinner at home (Q4 odds ratio [OR] = 0.3 [95% CI 0.1-0.9]; P = 0.03) relative to the lowest BMIGPS quartile. Compared with the lowest quartile, the highest BMICNS quartile was associated with fewer items purchased (P = 0.04), and the highest BMInon-CNS quartile was associated with purchasing breakfast at a later time (P = 0.01), skipping breakfast (P = 0.03), and not preparing breakfast (P = 0.04) or lunch (P = 0.01) at home. A limitation of this study is our data come from a relatively small sample of healthy working adults of European ancestry who volunteered to enroll in a health-promotion study, which may limit generalizability.ConclusionsIn this study, genetic risk for obesity was associated with the quality, quantity, and timing of objectively measured workplace food purchases. These findings suggest that genetic risk for obesity may influence eating behaviors that contribute to weight and could be targeted in personalized workplace wellness programs in the future.Trial registrationClinicaltrials.gov NCT02660086.

Dataset Information

Association of work-related and leisure-time physical activity with workplace food purchases, dietary quality, and health of hospital employees.

Publications

Association of work-related and leisure-time physical activity with workplace food purchases, dietary quality, and health of hospital employees.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets