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Preventing Obesity in the Worksite: A Multi-Message, Multi-Step Approach

Preventing Obesity in the Worksite: A Multi-Message, Multi-Step Approach

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT01585480
Acronym
Go!
Enrollment
499
Registered
2012-04-25
Start date
2010-11-30
Completion date
2011-12-31
Last updated
2023-12-22

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Obesity

Keywords

Obesity, Weight Gain Prevention, Workplace, Intervention, Diet, Exercise

Brief summary

The purpose of this research study is to develop, implement, and evaluate a multi-component obesity prevention program in a workplace setting. A quasi-experimental design will be utilized, with hospital employees receiving the intervention and clinic employees serving as the comparison group. It is hypothesized that the intervention group will see greater changes in healthier eating, increased participation in physical activity, and reduced risk for obesity (weight, BMI, waist circumference).

Detailed description

Over one-third of Americans are now considered obese. Efforts to prevent obesity involve changing the individual behaviors that contribute to obesity, mainly healthful eating and physical activity, as well as the social and physical context in which those behaviors take place. Due to their existing networks and available resources, worksites are a logical place to help individuals make healthy choices through health promotion efforts. The purpose of this project is to partner with a community hospital to plan, implement, and evaluate a multi-component obesity prevention program in their workplace. The prevention program will target individual and interpersonal determinants of eating behavior and physical activity, as well as the context in which these behaviors take place. This intervention will include four integrated components: (1) nutrition labeling (using stoplights, calories, and step equivalents) in the worksite cafeteria, and modifying the cafeteria environment, (2) distributing pedometers to employees, (3) persuasive media messaging, and (4) the use of influentials to address social norms around eating and physical activity behaviors. A quasi-experimental design will examine the effectiveness of this multi-component worksite obesity prevention program.

Interventions

BEHAVIORALWeight Gain Prevention Intervention

1. Behavioral Approaches 1. Distribution of pedometers 2. Traffic light labeling in worksite cafeteria and vending machines 2. Informational & Persuasive Messages 1. Stair use prompts 2. Posters, pamphlets, table toppers 3. Website 3. Social Approaches a. Identification and training of influential employees (Peer Helpers) to shape healthy norms 4. Environmental Changes 1. Traffic light labeling 2. 1/2 portions at 1/2 price 3. Walking routes 4. Introduction of healthier foods 5. Rearrangement of foods in the cafeteria 6. Adjusting serving spoon size

Sponsors

Healthy Foods Healthy Lives
CollaboratorUNKNOWN
University of Minnesota
Lead SponsorOTHER

Study design

Allocation
NON_RANDOMIZED
Intervention model
PARALLEL
Primary purpose
PREVENTION
Masking
SINGLE (Subject)

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

* Employee at one of the hospital/clinic locations participating in the study

Exclusion criteria

* none

Design outcomes

Primary

MeasureTime frame
Change in Body WeightBaseline, 6 months, 12 months
Change in Waist CircumferenceBaseline, 6 months,12 months

Secondary

MeasureTime frameDescription
Eating BehaviorsBaseline, 6 months, 12 monthsEating behaviors will be assessed by the Multifactor Screener (self-report questionnaire) and food purchase data (objective).
Physical ActivityBaseline, 6 months, 12 monthsPhysical Activity will be assessed by multiple self-report measures (Godin Leisure Time Exercise Questionnaire, International Physical Activity Questionnaire, and questions about stair use and steps). Stair use will also be assessed by naturalistic observation.

Countries

United States

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Mar 14, 2026