Evidence-based Intervention to Improve Walking Engagement in El Paso, Texas

NCT06411769 | Recruiting DMC

• 2 other identifiers: U01MD0192897U01MD019289-02
• Study Type: interventional
• Target: 406
• Locations: 1 country
• Sites: 2

Brief Summary

The investigators will test if the 50,000 for Life (50K4Life) is effective at improving walking engagement in school employees in 30 public schools by delivering a two-phased adaptive intervention to improve walking engagement in school workers in 30 public schools. In Phase 1, all study schools will be randomly assigned to a 50K4Life only, or 50K4Life + SMS Text Messaging group. In Phase 2, non-responder schools will be randomly assigned to one of two 6-month adaptive treatments: a) an individual-level intervention that includes remote education modules (REM) and one-to-one monthly phone-based coaching, or, b) a school-level intervention that includes group educational sessions, school environmental modifications (floor distance markings, signage in corridors and breakrooms, promotional items), and work time/weekend group walks/hikes. The schools that 50% or more participants who achieve 50,000 steps in one week will continue with the Phase 1 condition. Intervention strategies will be coordinated by health educators and managed using the Pathverse app. Data collection will occur at baseline, 8 weeks (Phase 2 randomization decision point), 8 months (immediate post intervention), 12 months (4 months post-intervention), and 18 months (10 months post-intervention) for a total of 18 months of study participation.

Conditions

Activity Trackers; Physical Activity

Keywords

Walking Challenge; Moderate-to-Vigorous-Physical Activity; Evidence-based; Employer-based

Outcome Measures

Primary Outcomes (1)

• Daily Step Count

  The Pathverse app synced with an activity tracker will be used to collect daily step counts. The goal is for teams (schools) to have 50% of their staff with an average weekly steps \> 50,000.

  Daily, Weekly up to 18 months.

Secondary Outcomes (5)

• Cardiorespiratory Fitness (CVF)

  Baseline, 8 weeks, 8 months, 12, months 18 months up to 18 months.

• Weight

  Baseline, 8 weeks, 8 months, 12 months, 18 months up to 18 months.

• Height

  Baseline

• Body Mass Index

  Baseline, 8 weeks, 8 months, 12 months, 18 months up to 18 months.

• Waist Circumference

  Baseline, 8 weeks, 8 months, 12 months, 18 months up to 18 months.

Study Arms (8)

Phase 1. 50K4LIfe Only

EXPERIMENTAL

Walking Challenge only

Behavioral: 50K4LIfe

Phase 1. 50K4Life + SMS Text Messages

EXPERIMENTAL

Walking Challenge + SMS Messages

Behavioral: 50K4LIfe; Behavioral: SMS Text Messaging

Phase 2. 50K4LIfe + Individual

EXPERIMENTAL

Walking Challenge + Individual level interventions.

Behavioral: 50K4LIfe; Behavioral: Individual

Phase 2. 50K4LIfe + School

EXPERIMENTAL

Walking Challenge + School-level interventions

Behavioral: 50K4LIfe; Behavioral: School

Phase 2. 50K4Life + SMS Text Messages + Individual

EXPERIMENTAL

Walking Challenge + SMS Messages + Individual level interventions

Behavioral: 50K4LIfe; Behavioral: SMS Text Messaging; Behavioral: Individual

Phase 2. 50K4Life + SMS Text Messages + Schools

EXPERIMENTAL

Walking Challenge + SMS Messages + School-level interventions

Behavioral: 50K4LIfe; Behavioral: SMS Text Messaging; Behavioral: School

Phase 2. Walking Challenge only

EXPERIMENTAL

Participants meeting the step goal in Phase 1(WC only) will continue into Phase 2 without change.

Behavioral: 50K4LIfe

Phase 2. Walking Challenge + SMS Text Messages

EXPERIMENTAL

Participants meeting their step goal in Phase 1 (WC + SMS Text Messages) will continue into Phase 2 without change.

Behavioral: 50K4LIfe; Behavioral: SMS Text Messaging

Interventions

50K4LIfe BEHAVIORAL

This intervention will consist of the Walking Challenge only.

Phase 1. 50K4LIfe Only; Phase 1. 50K4Life + SMS Text Messages; Phase 2. 50K4LIfe + Individual; Phase 2. 50K4LIfe + School; Phase 2. 50K4Life + SMS Text Messages + Individual; Phase 2. 50K4Life + SMS Text Messages + Schools; Phase 2. Walking Challenge + SMS Text Messages; Phase 2. Walking Challenge only

SMS Text Messaging BEHAVIORAL

In this intervention, participants will received notifications onto the Pathverse app

Phase 1. 50K4Life + SMS Text Messages; Phase 2. 50K4Life + SMS Text Messages + Individual; Phase 2. 50K4Life + SMS Text Messages + Schools; Phase 2. Walking Challenge + SMS Text Messages

Individual BEHAVIORAL

In this Phase 2 individual-level intervention, participants will receive remote education modules and one-to-one monthly phone-based coaching.

Phase 2. 50K4LIfe + Individual; Phase 2. 50K4Life + SMS Text Messages + Individual

School BEHAVIORAL

In this Phase 2 school-level intervention, participants will receive group educational sessions, school environmental modifications (floor distance markings, signage in corridors and breakrooms, promotional items), and participate in work time/weekend group walks/hikes.

Phase 2. 50K4LIfe + School; Phase 2. 50K4Life + SMS Text Messages + Schools

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)

You may qualify if:

• A school is eligible if it is located within one of the four target school districts
• adult 18 years or older
• full-time school-based school district employee
• not pregnant and able to walk without physical limitations or assistive device
• willing to wear our Fitbit tracking device or use their own tracking device for 18 months
• own a smartphone
• willingness to use a personal smartphone for tracking activity related to the Fitbit tracker, access online intervention content, and receive text messages.

You may not qualify if:

• Works at more than one school
• Does not work on a district school campus
• schools that previously participated in walking challenges

Sponsors & Collaborators

• University of Texas, El Paso: lead
• National Institute on Minority Health and Health Disparities (NIMHD): collaborator

Study Sites (2)

University of Texas at El Paso

El Paso, Texas, 79968, United States

RECRUITING

University of Texas at El Paso

El Paso, Texas, 79968, United States

RECRUITING

Related Publications (37)

• Parra-Medina D, Hilfinger Messias DK. Promotion of Physical Activity Among Mexican-Origin Women in Texas and South Carolina: An Examination of Social, Cultural, Economic, and Environmental Factors. Quest. 2011 Feb;63(1):100-117. doi: 10.1080/00336297.2011.10483668.

  BACKGROUND

• Tucker JM, Welk GJ, Beyler NK. Physical activity in U.S.: adults compliance with the Physical Activity Guidelines for Americans. Am J Prev Med. 2011 Apr;40(4):454-61. doi: 10.1016/j.amepre.2010.12.016.

  PMID: 21406280 BACKGROUND

• Karstoft K, Clark MA, Jakobsen I, Muller IA, Pedersen BK, Solomon TP, Ried-Larsen M. The effects of 2 weeks of interval vs continuous walking training on glycaemic control and whole-body oxidative stress in individuals with type 2 diabetes: a controlled, randomised, crossover trial. Diabetologia. 2017 Mar;60(3):508-517. doi: 10.1007/s00125-016-4170-6. Epub 2016 Dec 9.

  PMID: 27942800 BACKGROUND

• Bailey MM, Coller RK, Pollack Porter KM. A qualitative study of facilitators and barriers to implementing worksite policies that support physical activity. BMC Public Health. 2018 Sep 27;18(1):1145. doi: 10.1186/s12889-018-6045-x.

  PMID: 30261871 BACKGROUND

• Garne-Dalgaard A, Mann S, Bredahl TVG, Stochkendahl MJ. Implementation strategies, and barriers and facilitators for implementation of physical activity at work: a scoping review. Chiropr Man Therap. 2019 Oct 9;27:48. doi: 10.1186/s12998-019-0268-5. eCollection 2019.

  PMID: 31624537 BACKGROUND

• Sedani A, Stover D, Coyle B, Wani RJ. Assessing Workplace Health and Safety Strategies, Trends, and Barriers through a Statewide Worksite Survey. Int J Environ Res Public Health. 2019 Jul 11;16(14):2475. doi: 10.3390/ijerph16142475.

  PMID: 31336749 BACKGROUND

• Wu S, Fisher-Hoch SP, Reninger B, McCormick JB. Meeting or Exceeding Physical Activity Guidelines is Associated with Reduced Risk for Cancer in Mexican-Americans. Am J Cancer Prev. 2016;4(1):1-7. doi: 10.12691/ajcp-4-1-1. Epub 2016 Jan 29.

  PMID: 28529961 BACKGROUND

• Salinas JJ, Valenzuela R, Sheen J, Carlyle M, Gay J, Morales A. An ORBIT Phase 1: Design study of a citywide employer-based walking challenges in a predominantly Mexican American metropolitan area. J Health Psychol. 2022 Mar;27(4):961-973. doi: 10.1177/1359105320977650. Epub 2020 Dec 20.

  PMID: 33345634 BACKGROUND

• Saadiq S, Valenzuela R, Wang J, Yin Z, Parra-Medina D, Gay J, Salinas JJ. Walking Engagement in Mexican Americans Who Participated in a Community-Wide Step Challenge in El Paso, TX. Int J Environ Res Public Health. 2021 Dec 2;18(23):12738. doi: 10.3390/ijerph182312738.

  PMID: 34886463 BACKGROUND

• Salinas JJ, McDaniel M, Parra-Medina D. The Role of Social Support and the Neighborhood Environment on Physical Activity in Low-income, Mexican-American Women in South Texas. J Prev Med Public Health. 2018 Sep;51(5):234-241. doi: 10.3961/jpmph.18.052. Epub 2018 Jul 25.

  PMID: 30286595 BACKGROUND

• Parra-Medina D, Hilfinger Messias DK. Promotion of Physical Activity Among Mexican-Origin Women in Texas and South Carolina: An Examination of Social, Cultural, Economic, and Environmental Factors. Quest. 2011 Feb;63(1):100-117. doi: 10.1080/00336297.2011.10483668.

  PMID: 21731409 BACKGROUND

• Mitchell MS, Orstad SL, Biswas A, Oh PI, Jay M, Pakosh MT, Faulkner G. Financial incentives for physical activity in adults: systematic review and meta-analysis. Br J Sports Med. 2020 Nov;54(21):1259-1268. doi: 10.1136/bjsports-2019-100633. Epub 2019 May 15.

  PMID: 31092399 BACKGROUND

• Marteau TM, Ashcroft RE, Oliver A. Using financial incentives to achieve healthy behaviour. BMJ. 2009 Apr 9;338:b1415. doi: 10.1136/bmj.b1415. No abstract available.

  PMID: 19359291 BACKGROUND

• Weinstock J, Petry NM. Framing Financial Incentives to Increase Physical Activity Among Overweight and Obese Adults. Ann Intern Med. 2016 Oct 18;165(8):599. doi: 10.7326/L16-0281. No abstract available.

  PMID: 27750317 BACKGROUND

• Meng L, Wolff MB, Mattick KA, DeJoy DM, Wilson MG, Smith ML. Strategies for Worksite Health Interventions to Employees with Elevated Risk of Chronic Diseases. Saf Health Work. 2017 Jun;8(2):117-129. doi: 10.1016/j.shaw.2016.11.004. Epub 2016 Dec 2.

  PMID: 28593067 BACKGROUND

• Mehta S, Dimsdale J, Nagle B, Holub CK, Woods C, Barquera S, Elder JP. Worksite interventions: improving lifestyle habits among Latin American adults. Am J Prev Med. 2013 May;44(5):538-42. doi: 10.1016/j.amepre.2013.01.015.

  PMID: 23597820 BACKGROUND

• Chandrasekaran B, Rao CR, Davis F, Arumugam A. SMART STEP - SMARTphone-driven exercise and pedometer-based STEP intervention to promote physical activity among desk-based employees: Study protocol for a three-arm cluster randomized controlled trial. Work. 2021;69(4):1229-1245. doi: 10.3233/WOR-213544.

  PMID: 34366306 BACKGROUND

• Freak-Poli R, Cumpston M, Albarqouni L, Clemes SA, Peeters A. Workplace pedometer interventions for increasing physical activity. Cochrane Database Syst Rev. 2020 Jul 21;7(7):CD009209. doi: 10.1002/14651858.CD009209.pub3.

  PMID: 32700325 BACKGROUND

• Wolfenden L, Goldman S, Stacey FG, Grady A, Kingsland M, Williams CM, Wiggers J, Milat A, Rissel C, Bauman A, Farrell MM, Legare F, Ben Charif A, Zomahoun HTV, Hodder RK, Jones J, Booth D, Parmenter B, Regan T, Yoong SL. Strategies to improve the implementation of workplace-based policies or practices targeting tobacco, alcohol, diet, physical activity and obesity. Cochrane Database Syst Rev. 2018 Nov 14;11(11):CD012439. doi: 10.1002/14651858.CD012439.pub2.

  PMID: 30480770 BACKGROUND

• Stephenson A, McDonough SM, Murphy MH, Nugent CD, Mair JL. Using computer, mobile and wearable technology enhanced interventions to reduce sedentary behaviour: a systematic review and meta-analysis. Int J Behav Nutr Phys Act. 2017 Aug 11;14(1):105. doi: 10.1186/s12966-017-0561-4.

  PMID: 28800736 BACKGROUND

• Jung J, Cho I. Promoting Physical Activity and Weight Loss With mHealth Interventions Among Workers: Systematic Review and Meta-analysis of Randomized Controlled Trials. JMIR Mhealth Uhealth. 2022 Jan 21;10(1):e30682. doi: 10.2196/30682.

  PMID: 35060913 BACKGROUND

• Muir SD, Silva SSM, Woldegiorgis MA, Rider H, Meyer D, Jayawardana MW. Predictors of Success of Workplace Physical Activity Interventions: A Systematic Review. J Phys Act Health. 2019 Aug 1;16(8):647-656. doi: 10.1123/jpah.2018-0077.

  PMID: 31203701 BACKGROUND

• Salinas JJ, Parra-Medina D. Physical activity change after a promotora-led intervention in low-income Mexican American women residing in South Texas. BMC Public Health. 2019 Jun 20;19(1):782. doi: 10.1186/s12889-019-7105-6.

  PMID: 31221117 BACKGROUND

• Yin Z, Errisuriz VL, Evans M, Inupakutika D, Kaghyan S, Li S, Esparza L, Akopian D, Parra-Medina D. A Digital Health Intervention for Weight Management for Latino Families Living in Rural Communities: Perspectives and Lessons Learned During Development. JMIR Form Res. 2020 Aug 20;4(8):e20679. doi: 10.2196/20679.

  PMID: 32726748 BACKGROUND

• Yin Z, Lesser J, Paiva KA, Zapata J Jr, Moreno-Vasquez A, Grigsby TJ, Ryan-Pettes SR, Parra-Medina D, Estrada V, Li S, Wang J. Using Mobile Health Tools to Engage Rural Underserved Individuals in a Diabetes Education Program in South Texas: Feasibility Study. JMIR Mhealth Uhealth. 2020 Mar 24;8(3):e16683. doi: 10.2196/16683.

  PMID: 32207694 BACKGROUND

• Parra-Medina D, Mojica C, Liang Y, Ouyang Y, Ramos AI, Gomez I. Promoting Weight Maintenance among Overweight and Obese Hispanic Children in a Rural Practice. Child Obes. 2015 Aug;11(4):355-63. doi: 10.1089/chi.2014.0120. Epub 2015 May 7.

  PMID: 25950140 BACKGROUND

• Gay JL, Buchner DM. Ethnic disparities in objectively measured physical activity may be due to occupational activity. Prev Med. 2014 Jun;63:58-62. doi: 10.1016/j.ypmed.2014.02.015. Epub 2014 Feb 28.

  PMID: 24589439 BACKGROUND

• Gay JL, Buchner DM, Smith J. Occupational Physical Activity Opposes Obesity: A Cross-Sectional Modern Replication of the Morris 1953 London Busmen Study. J Occup Environ Med. 2019 Mar;61(3):177-182. doi: 10.1097/JOM.0000000000001489.

  PMID: 30395010 BACKGROUND

• Gay JL, Buchner DM, Smith J, He C. An examination of compensation effects in accelerometer-measured occupational and non-occupational physical activity. Prev Med Rep. 2017 Aug 5;8:55-59. doi: 10.1016/j.pmedr.2017.07.013. eCollection 2017 Dec.

  PMID: 28879071 BACKGROUND

• Gay JL, Saunders RP, Rees-Punia E, Dowda M, van den Berg AE. Role of Organizational Support on Implementation of an Environmental Change Intervention to Improve Child Fruit and Vegetable Intake: a Randomized Cross-Over Design. Prev Sci. 2019 Nov;20(8):1211-1218. doi: 10.1007/s11121-019-01043-z.

  PMID: 31468247 BACKGROUND

• Wang J, Sereika SM, Chasens ER, Ewing LJ, Matthews JT, Burke LE. Effect of adherence to self-monitoring of diet and physical activity on weight loss in a technology-supported behavioral intervention. Patient Prefer Adherence. 2012;6:221-6. doi: 10.2147/PPA.S28889. Epub 2012 Mar 22.

  PMID: 22536058 BACKGROUND

• Wang J, Chu CF, Li C, Hayes L, Siminerio L. Diabetes Educators' Insights Regarding Connecting Mobile Phone- and Wearable Tracker-Collected Self-Monitoring Information to a Nationally-Used Electronic Health Record System for Diabetes Education: Descriptive Qualitative Study. JMIR Mhealth Uhealth. 2018 Jul 26;6(7):e10206. doi: 10.2196/10206.

  PMID: 30049667 BACKGROUND

• Valenzuela R, Morales A, Sheen J, Rangel S, Salinas JJ. The Implementation of Evidence-Based Obesity Education Curricula to Prevent Cancer in a Predominantly Mexican-American Community on the U.S.-Mexico Border. J Cancer Educ. 2023 Feb;38(1):215-224. doi: 10.1007/s13187-021-02101-3. Epub 2021 Oct 8.

  PMID: 34623603 BACKGROUND

• Wang J, Cai C, Padhye N, Orlander P, Zare M. A Behavioral Lifestyle Intervention Enhanced With Multiple-Behavior Self-Monitoring Using Mobile and Connected Tools for Underserved Individuals With Type 2 Diabetes and Comorbid Overweight or Obesity: Pilot Comparative Effectiveness Trial. JMIR Mhealth Uhealth. 2018 Apr 10;6(4):e92. doi: 10.2196/mhealth.4478.

  PMID: 29636320 BACKGROUND

• Sallis JF, Grossman RM, Pinski RB, Patterson TL, Nader PR. The development of scales to measure social support for diet and exercise behaviors. Prev Med. 1987 Nov;16(6):825-36. doi: 10.1016/0091-7435(87)90022-3.

  PMID: 3432232 BACKGROUND

• Ramirez M, Wu S, Beale E. Designing a Text Messaging Intervention to Improve Physical Activity Behavior Among Low-Income Latino Patients With Diabetes: A Discrete-Choice Experiment, Los Angeles, 2014-2015. Prev Chronic Dis. 2016 Dec 22;13:E171. doi: 10.5888/pcd13.160035.

  PMID: 28005532 BACKGROUND

• Morton K, Sutton S, Hardeman W, Troughton J, Yates T, Griffin S, Davies M, Khunti K, Eborall H. A Text-Messaging and Pedometer Program to Promote Physical Activity in People at High Risk of Type 2 Diabetes: The Development of the PROPELS Follow-On Support Program. JMIR Mhealth Uhealth. 2015 Dec 15;3(4):e105. doi: 10.2196/mhealth.5026.

  PMID: 26678750 BACKGROUND

MeSH Terms

Conditions

Motor Activity

Interventions

Schools

Condition Hierarchy (Ancestors)

Behavior

Intervention Hierarchy (Ancestors)

Non-Medical Public and Private Facilities

Study Officials

• Jennifer J Salinas, Ph.D., LMSW

  University of Texas, El Paso

  PRINCIPAL INVESTIGATOR

Central Study Contacts

Jennifer J Salinas, Ph.D.,LMSW

CONTACT

915-747-7292; jsalinas7@utep.edu

Kaycee Carmagnani, MSW

CONTACT

915-747-8349; kkcarmagnani2@utep.edu

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: RANDOMIZED
• Masking: NONE
• Purpose: PREVENTION
• Intervention Model: SEQUENTIAL
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Model Details: This study will draw upon Sequential, Multiple Assignment, Randomized Trials (SMART) design to reduce barriers for both individuals and worksites to improve responsiveness to individual performance. The investigators are using the Consolidated Framework for Implementation Research (CFIR) across all project activities to establish proof-of-concept and improve the quality of behavioral intervention delivery to disparate populations on the U.S.-Mexico border and other similar regions.

Study Record Dates

• First Submitted: April 26, 2024
• First Posted: May 13, 2024
• Study Start: September 1, 2024
• Primary Completion (Estimated): June 1, 2027
• Study Completion (Estimated): June 1, 2027
• Last Updated: March 16, 2026

Record last verified: 2026-03

Data Sharing

• IPD Sharing: Will not share

Locations

US (2)