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Promoting Physical Activity In High Poverty Neighborhoods

Promoting Physical Activity In High Poverty Neighborhoods

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT01925404
Enrollment
48
Registered
2013-08-19
Start date
2013-06-30
Completion date
2017-07-31
Last updated
2018-06-19

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

Conditions

Physical Activity

Keywords

Physical activity, parks, programming, public health

Brief summary

Encouraging greater levels of physical activity is critical to improving health among Americans, who are largely sedentary. Neighborhood parks are resources for physical activity that are available to most Americans within a couple miles of their homes, yet many residents are unaware of the programs and facilities available. Previous research indicates that park use is related to park programming and outreach. Because funding for parks is limited, low-cost interventions are needed to attract more people to parks to engage in moderate-to-vigorous physical activity. While many community-based organizations would like to invest in efforts that increase physical activity, few low-cost park programs are documented to be both scalable and cost-effective. Effective programs that can be replicated to make population-level impacts are needed. The goal of this study is to develop and test 2 low-cost community-level approaches, free exercise classes vs. a frequent user program, to promoting physical activity, singly and in combination, in 48 park settings in Los Angeles low-income neighborhoods.

Detailed description

While routine physical activity is critical to optimal health, our preliminary studies have indicated that residents of low-income communities in Los Angeles are less likely to exercise than those in high-income communities, and they are less likely to use their neighborhood parks, even when the parks are within walking distance. Parks in low-income neighborhoods tend to be smaller and serve a greater population density, but even after accounting for the size and the population served, they are still used less than parks in wealthier neighborhoods. In our preliminary studies we found that parks in low-income neighborhoods also had fewer part-time staff and offered fewer programs and organized activities than parks in higher-income areas, and these factors partly accounted for their lower use. As well, parks in low-income neighborhoods are often perceived as less safe, a characteristic associated with lower use 4. Simultaneously, the lack of use and dearth of programming may contribute to a perception of lack of safety, creating a vicious cycle. Nonetheless, we have documented that when parks in low-income neighborhoods offer events and activities, they can be just as busy as parks in higher-income areas. We hypothesize that limited park use in low-income areas can be attributed to the lack of organized and reliable infrastructure of activities that meet the needs of local residents and that offering more activities and programs in parks will increase park use and park-based physical activity. According to the Task Force on Community Level Preventive Services, community-level campaigns are both effective and scalable.6 For the past eight years, we have conducted research in public neighborhood parks and found that these venues offer great potential for increasing physical activity for populations. Based upon this work, as well as our previous work on the cost-effectiveness of physical activity interventions, we propose to test community-level campaigns targeting low-income populations that will be relatively low-cost and easy to replicate. The proposed study has three specific aims: 1. Using a full factorial design, compare whether park use and population physical activity in low-income neighborhoods increase with the availability of a) more organized physical activity classes, including zumba, line dancing, and aerobics indoors and outdoors, and/or b) a loyalty program approach that rewards frequent park users. 2. Determine whether either of these two approaches changes the perception of park safety and neighborhood safety. 3. Identify the cost effectiveness of both approaches in terms of dollars spent to generate increased physical activity in parks as measured through systematic observation. Most Los Angeles parks have full-time staff, but their role has become increasingly administrative. Park staff may not have the time or the skills to lead physical activity programs and activities nor conduct effective outreach to the community to promote these activities. Although there is a small literature on best practices for parks, there is no underlying foundation of rigorous scientific research, and there has been no identification of which park practices, designs, or activities lead to the most physical activity in a community. Standard practice is currently based primarily on anecdotes, demands of special interest groups, and the experience of professionals. The science of objectively measuring physical activity in parks is new, developed only in the past decade. Because neighborhood parks are settings designed for moderate to vigorous physical activity (MVPA) and are accessible to 70% of the US population, identifying which programs help populations achieve physical activity goals at a reasonable cost would be highly useful, particularly for groups disproportionately affected with chronic diseases that could be reduced with physical activity. Parks are community resources typically funded by dedicated revenue streams and fee-based programs, yet park systems frequently lack the tools and resources to either market programs or measure their reach or effectiveness. Our study will document all the steps required for implementing and maintaining two physical activity promotion interventions--one a standard approach offering traditional organized physical activity programs, the other an innovative application of popular customer loyalty programs. We will determine their impact on physical activity and their cost-effectiveness.

Interventions

BEHAVIORALFree physical activity classes

100 hours of free activity classes will be provided

BEHAVIORALFrequent User

Participants can become eligible for prizes by visiting the park more frequently

Sponsors

City of Los Angeles Department of Recreation and Parks
CollaboratorUNKNOWN
AltaMed Health Services Corporation
CollaboratorOTHER
National Heart, Lung, and Blood Institute (NHLBI)
CollaboratorNIH
RAND
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
FACTORIAL
Primary purpose
PREVENTION
Masking
NONE

Eligibility

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

Inclusion criteria

Parks are in low-income neighborhoods; individuals visit parks and/or live within 1 mile radius of the park; -

Exclusion criteria

Parks are not in low income neighborhoods; individuals do not visit the park and do not live within a 1 mile radius \-

Design outcomes

Primary

MeasureTime frameDescription
Percentage Change in Park-based Physical Activitydifference between baseline and follow-up (1 year)Physical activity was measured in MET-hours (Metabolic equivalents)

Secondary

MeasureTime frameDescription
Park Use (% Change)baseline versus 1 yearWe will count the number of parks users and compare differences between the number counted at baseline to the number counted at follow-up

Countries

United States

Participant flow

Recruitment details

Parks are the unit of analysis; Parks were randomly assigned to the study arms

Participants by arm

ArmCount
Frequent User Arm
Park users will be able to earn rewards or prizes by coming more frequently to the park Frequent User: Participants can become eligible for prizes by visiting the park more frequently
0
Frequent User Arm
Park users will be able to earn rewards or prizes by coming more frequently to the park Frequent User: Participants can become eligible for prizes by visiting the park more frequently
12
Free Physical Activity Classes/Programs
We will offer at least 100 free physical activity classes at the park Free physical activity classes: 100 hours of free activity classes will be provided
0
Free Physical Activity Classes/Programs
We will offer at least 100 free physical activity classes at the park Free physical activity classes: 100 hours of free activity classes will be provided
12
Combined Arm
We will offer free classes and the frequent user program at the park Free physical activity classes: 100 hours of free activity classes will be provided Frequent User: Participants can become eligible for prizes by visiting the park more frequently
0
Combined Arm
We will offer free classes and the frequent user program at the park Free physical activity classes: 100 hours of free activity classes will be provided Frequent User: Participants can become eligible for prizes by visiting the park more frequently
12
Control
Business as usual, no special physical activity programs offered
0
Control
Business as usual, no special physical activity programs offered
12
Total48

Baseline characteristics

CharacteristicFrequent User ArmFree Physical Activity Classes/ProgramsCombined ArmControlTotal
Age, Categorical
<=18 years
NA parksNA parksNA parksNA parksNA parks
Age, Categorical
>=65 years
NA parksNA parksNA parksNA parksNA parks
Age, Categorical
Between 18 and 65 years
NA parksNA parksNA parksNA parksNA parks
park size,6.1 acres9.0 acres8.0 acres10.3 acres8.4 acres
population density659102 people583346 people603596 people664846 people2510890 people
Sex: Female, Male
Female
NA parksNA parksNA parksNA parksNA parks
Sex: Female, Male
Male
NA parksNA parksNA parksNA parksNA parks

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
EG002
affected / at risk
EG003
affected / at risk
deaths
Total, all-cause mortality
— / —— / —— / —— / —
other
Total, other adverse events
0 / 120 / 120 / 120 / 12
serious
Total, serious adverse events
0 / 120 / 120 / 120 / 12

Outcome results

Primary

Percentage Change in Park-based Physical Activity

Physical activity was measured in MET-hours (Metabolic equivalents)

Time frame: difference between baseline and follow-up (1 year)

Population: The unit of analysis was at the level of the park.

ArmMeasureValue (MEAN)
Frequent User ArmPercentage Change in Park-based Physical Activity11.2 Percent change in MET-hours
Free Physical Activity Classes/ProgramsPercentage Change in Park-based Physical Activity6.1 Percent change in MET-hours
Combined ArmPercentage Change in Park-based Physical Activity5.6 Percent change in MET-hours
ControlPercentage Change in Park-based Physical Activity8.4 Percent change in MET-hours
Comparison: Comparison of change from baseline;p-value: 0.0063negative binomial distribution
Secondary

Park Use (% Change)

We will count the number of parks users and compare differences between the number counted at baseline to the number counted at follow-up

Time frame: baseline versus 1 year

Population: Participants were not assigned to study arms

ArmMeasureValue (MEAN)
Frequent User ArmPark Use (% Change)10 percentage change in park users
Free Physical Activity Classes/ProgramsPark Use (% Change)4.0 percentage change in park users
Combined ArmPark Use (% Change)6.6 percentage change in park users
ControlPark Use (% Change)9.7 percentage change in park users

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026