Early Success Is Vital in Minimal Worksite Wellness Interventions at Small Worksites

Improvement Predictors in a Workplace Program Promoting Healthy Lifestyle Habits

BACKGROUND

The baseline characteristics of employees to predict improvements in healthy lifestyle habits (LHs) following workplace health promotion programs are underexplored. This study sought to identify predictors of improvements in physical activity (PA), eating habits, sleep habits, and stress management, and health risk factors resulting from healthy LHs.

METHODS

The Activate Your Health program included 3 packages of an increasing number of interventions: light, moderate, and high. Participating employees (n = 506) completed baseline and postintervention questionnaires that collected sociodemographic data, health- and LH-related variables, stress-related variables, and perceptions of general health and life satisfaction. Only those with the potential to improve were included in each improvement outcome analysis.

RESULTS

Being in high and intending to reduce alcohol consumption increased the odds of improving PA. Very good/excellent perceived general health, poor sleep habits, high alcohol consumption, and intending to improve stress management increased the odds of improving stress levels at work. Depression and intending to improve sleep habits increased the odds of improving stress management. Reporting feelings of pleasure increased the odds of improving body mass index.

CONCLUSIONS

Baseline characteristics predicting improvements differed for each LH. A targeted approach may be needed to help employees improve LHs and related outcomes.

What Are the Determinants of a Workplace Health Promotion? Application of a Social Marketing Model in Identifying Determinants of Physical Activity in the Workplace (a Qualitative Study)

Background and objective: Physical activity is an important behavior to reduce the risk of non-communicable diseases. Providing the context for physical activity in the workplace in addition to promoting the employees' physical and mental health has significant economic benefits for organizations. We conducted the present study using a social marketing model to explain the determinants of a Workplace Health Promotion in promoting physical activity among employees of government organizations in Yasuj, Iran. Materials and methods: The present study was qualitative research with directed content analysis based on the social marketing model. Thirty-three employees of government organizations in Yasuj were included in the study using the purposive sampling method. The data collection method included semi-structured interviews and observation. Data analysis was performed manually and by the qualitative content analysis method. The implementation data were systematically sorted and analyzed and classified into five steps. Results: Organizational structure, organizational policies, and a supportive interpersonal climate were extracted and categorized as characteristics of workplace health promotion programs from participant interviews. In addition to participants' emphasis on receiving information from reputable sources, virtual communication networks such as WhatsApp and real communication networks such as physicians and specialists were their preferred media for education and information. Conclusion: Due to the complexity of workplace, diversity, and multiplicity of factors and determinants of physical activity, the findings of the present study will be a basis for designing an appropriate and effective intervention and organizational changes to promote physical activities among employees in the future.

Predictors of Success of Workplace Physical Activity Interventions: A Systematic Review

BACKGROUND

Despite holding great potential for addressing concerns regarding public health, recent systematic reviews have found effect sizes for interventions targeting physical activity to be small. Before interventions can be improved, the factors influencing outcomes must be identified. This systematic review aimed to identify predictors of success, measured in terms of engagement (eg, involvement duration) and health behavior change (eg, increased step counts), of workplace interventions targeting physical activity.

METHODS

A structured search of 3 databases (PubMed, PsycINFO, and Web of Science) was conducted to identify articles published between January 2000 and April 2017. For inclusion, articles needed to test a workplace intervention targeting physical activity and perform a quantitative analysis, identifying predictors of engagement or health behavior change.

RESULTS

Twenty-two studies were identified for review (median quality score = 70%). Demographic variables (eg, gender, age) were inconsistent predictors of success. However, employees in better health and physically active at baseline were found to have a greater likelihood of success.

CONCLUSIONS

It appears that achieving successful results among employees at high risk of poor health outcomes remains a significant challenge for interventions. It is hoped that program developers can use this information to create effective interventions particularly for more sedentary employees.

Increasing Awareness of the Importance of Physical Activity and Healthy Nutrition: Results From a Mixed-Methods Evaluation of a Workplace Program

BACKGROUND

To evaluate the impact of an online workplace program that promotes physical activity and health, while focusing on performance measures relating to physical activity, nutrition, and overall health.

METHODS

The large sample size (more than 18,000 participants) allowed the use of text mining and machine-learning methods to determine what descriptions of the program identify successful outcomes, and hierarchical linear models to determine the most beneficial program modules and features.

RESULTS

The program increased overall health and awareness of levels of physical activity and nutrition, especially for people who scored low on these measures initially. Interestingly, although physical activity is the most popular program module, the daily step-tracking process was associated with smaller improvements in overall health.

CONCLUSIONS

This study finds that the Virgin Pulse Global Challenge is an effective workplace intervention for improving overall health and awareness of physical activity and nutrition. Effectiveness relates to the holistic approach adopted rather than to individual modules in isolation. Future evaluations of workplace health and exercise programs should explore a variety of outcome measures within the rich context provided by open-ended participant experience feedback. In addition, a control group and a follow-up study are required.

Evaluation of a Worksite-Based Small Group Team Challenge to Increase Physical Activity

PURPOSE

To investigate whether participants in a small group team challenge had greater completion rates in an institution-wide step-challenge than other participants.

DESIGN

A quasi-experimental, posttest-only design with a comparison group was used to evaluate group differences in completion rates.

SETTING

A large university system provided the opportunity to participate in a physical activity challenge.

PARTICIPANTS

The study was limited to employees who participated in the physical activity challenge.

INTERVENTION

Two institutions offered participants the chance to compete as smaller groups of teams within their institution. These team-challenge participants (N = 414) were compared to participants from the same institutions that did not sign up for a team and tracked their steps individually (N = 1454).

MEASURES

Participants who reported 50 000 steps per week for 5 of the 6 weeks were classified as challenge completers. We also evaluated total step count and controlled for several potential covariates including age, gender, and body mass index.

ANALYSIS

Logistic regression was used to model the dichotomous outcome of challenge completion.

RESULTS

Team-challenge participants were more likely to complete the physical activity challenge than other participants. Team-challenge participants had 1922 more steps per day than individual participants. However, at an institution level, overall completion rates were not higher at institutions that offered a team challenge.

Predictors of Weight Change: Findings From an Employee Wellness Program

Introduction: Employers are instituting employee wellness programs that include educational, lifestyle coaching, and weight and other condition management components to address obesity-related issues in the workplace. However, the findings of such wellness initiatives have been mixed. The purpose of this exploratory study is to determine whether the readiness for change measures are important predictors of weight loss in an employee wellness program. Methods: Retrospective data analysis of an employee wellness program conducted in the United States was conducted using data collected between 2014 and 2015 for people with BMI ≥ 30. These participants were assigned to one of two subprograms: weight management or condition management. We assessed the weight change within each program. Further, the relationship between weight change and readiness for change variables for weight, diet, and physical activity were examined by applying multiple linear regression and logistic regression models. The multivariable model included subprogram; gender; age; systolic and diastolic blood pressure; risk factor count; readiness for change for weight, activity, and diet; and stress level as covariates. Results: There were 209 participants in the weight management program and 243 participants in the condition management program who met the criteria for obesity, resulting in a final sample of 452 participants. On average, the weight change for these participants was -0.28 pounds (SD = 15.55) and there was no statistical difference between the weight change in the two programs. When compared to the reference group (maintenance), participants at the action stage of physical activity, on average, lost weight (b = -4.59, p = 0.02). Likewise, participants at the pre-contemplation stage of physical activity lost weight when compared to the maintenance group (b = -26.24, p = 0.000). Participants at the pre-contemplation stage of physical activity had higher odds of achieving at least 5% weight loss than participants at the maintenance stage (OR = 5.80, p = 0.053). Conclusion: Readiness for change for activity may be a predictor of weight change, and may predict the likelihood of achieving clinically significant weight loss. These findings can assist in targeting subjects for participation in such programs. The findings regarding the relationship between readiness for change and weight loss are counterintuitive, and further research is warranted in this area.

Effects of Physical Activity Governmental Programs on Health Status in Independent Older Adults: A Systematic Review

This systematic review analyzes the evidence of the effects of physical activity governmental programs oriented toward the health of independent older adults. Medline, Web of Science, PsycINFO, and Psychology & Behavioral Sciences Collection databases were used for data mining, and the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols recommendations were followed. Five studies (n = 2,545 participants) fulfilled the established inclusion criteria. The physical activity programs had beneficial effects on the older adults' quality of life, fall risk, activities of daily living, physical activity levels, nutritional risk, body mass index, arterial pressure, resting heart rate, blood glucose, triglycerides, and/or cholesterol, but did not significantly alter their body fat mass percentage. Programs involving diverse physical capacities seem to be more effective for healthy aging. It is recommended that governments start to disseminate the outcomes of these programs within society and the scientific community.

Statistical methods to model and evaluate physical activity programs, using step counts: A systematic review

Background

Physical activity reduces the risk of noncommunicable diseases and is therefore an essential component of a healthy lifestyle. Regular engagement in physical activity can produce immediate and long term health benefits. However, physical activity levels are not as high as might be expected. For example, according to the global World Health Organization (WHO) 2017 statistics, more than 80% of the world’s adolescents are insufficiently physically active. In response to this problem, physical activity programs have become popular, with step counts commonly used to measure program performance. Analysing step count data and the statistical modeling of this data is therefore important for evaluating individual and program performance. This study reviews the statistical methods that are used to model and evaluate physical activity programs, using step counts.

Methods

Adhering to PRISMA guidelines, this review systematically searched for relevant journal articles which were published between January 2000 and August 2017 in any of three databases (PubMed, PsycINFO and Web of Science). Only the journal articles which used a statistical model in analysing step counts for a healthy sample of participants, enrolled in an intervention involving physical exercise or a physical activity program, were included in this study. In these programs the activities considered were natural elements of everyday life rather than special activity interventions.

Results

This systematic review was able to identify 78 unique articles describing statistical models for analysing step counts obtained through physical activity programs. General linear models and generalized linear models were the most popular methods used followed by multilevel models, while structural equation modeling was only used for measuring the personal and psychological factors related to step counts. Surprisingly no use was made of time series analysis for analysing step count data. The review also suggested several strategies for the personalisation of physical activity programs.

Conclusions

Overall, it appears that the physical activity levels of people involved in such programs vary across individuals depending on psychosocial, demographic, weather and climatic factors. Statistical models can provide a better understanding of the impact of these factors, allowing for the provision of more personalised physical activity programs, which are expected to produce better immediate and long-term outcomes for participants. It is hoped that this review will identify the statistical methods which are most suitable for this purpose.

Work Site-Based Environmental Interventions to Reduce Sedentary Behavior: A Systematic Review

OBJECTIVE

The purpose of this investigation was to systematically review work site-based, environmental interventions to reduce sedentary behavior following preferred reporting items for systematic reviews and meta-analyses guidelines.

DATA SOURCE

Data were extracted from Medical Literature Analysis and Retrieval System Online, Cochrane Central Register of Controlled Trials, and Web of Science between January 2005 and December 2015.

STUDY INCLUSION AND EXCLUSION CRITERIA

Inclusion criteria were work site interventions, published in peer-reviewed journals, employing environmental modalities, targeting sedentary behavior, and using any quantitative design. Exclusion criteria were noninterventions and non-English publications.

DATA EXTRACTION

Data extracted included study design, population, intervention dosage, intervention activities, evaluation measures, and intervention effects.

DATA SYNTHESIS

Data were tabulated quantitatively and synthesized qualitatively.

RESULTS

A total of 15 articles were identified for review and 14 reported statistically significant decreases in sedentary behavior. The majority of studies employed a randomized controlled trial design (n = 7), used inclinometers to measure sedentary behavior (n = 9), recruited predominantly female samples (n = 15), and utilized sit-to-stand desks as the primary intervention modality (n = 10). The mean methodological quality score was 6.2 out of 10.

CONCLUSION

Environmental work site interventions to reduce sedentary behavior show promise because work sites often have more control over environmental factors. Limitations of this intervention stream include inconsistent measurement of sedentary behavior, absence of theoretical frameworks to guide program development, and absence of long-term evaluation. Future studies should include clear reporting of intervention strategies and explicit operationalization of theoretical constructs.

How Do Stages of Change for Physical Activity Relate to Employee Sign-Up for and Completion of a Worksite Physical Activity Competition?

Introduction. This study evaluated whether stages of change for physical activity (PA) predict sign-up, participation, and completion in a PA competition. Method. Deidentified data were provided to evaluate a PA competition between 16 different institutions from a public university system. Employees who completed a health assessment (HA) prior to the start of the PA competition ( n = 6,333) were included in the study. Participants completed a self-report HA and logged their PA throughout the competition. Multivariable logistic regression models tested whether stages of change predicted PA competition sign-up and completion. An ordinal logistic regression model tested whether stages of change predicted number of weeks of PA competition participation. Results. Stages of change predicted PA competition sign-up and completion, but not weeks of participation. The odds for PA competition sign-up were 1.64 and 1.98 times higher for employees in preparation and action/maintenance (respectively) compared with employees in precontemplation/contemplation. The odds for PA competition completion were 4.17 times higher for employees in action/maintenance compared with employees in precontemplation/contemplation/preparation. Conclusion. The PA competition was more likely to reach employees in preparation, action, or maintenance stages than precontemplation/contemplation. Most of the completers were likely participating in regular PA prior to the competition.